Sequence-determined DNA fragments and corresponding polypeptides encoded therapy

Abstract

The present invention provides DNA molecules that constitute fragments of the genome of a plant, and polypeptides encoded thereby. The DNA molecules are useful for specifying a gene product in cells, either as a promoter or as a protein coding sequence or as an UTR or as a 3′ termination sequence, and are also useful in controlling the behavior of a gene in the chromosome, in controlling the expression of a gene or as tools for genetic mapping, recognizing or isolating identical or related DNA fragments, or identification of a particular individual organism, or for clustering of a group of organisms with a common trait. One of ordinary skill in the art, having this data, can obtain cloned DNA fragments, synthetic DNA fragments or polypeptides constituting desired sequences by recombinant methodology known in the art or described herein

Description

This application contains thirty-six (36) CDRs submitted in duplicate (totaling 72 CDs), the entire contents of which are hereby incorporated by reference. The CDR contains the following files:

FILE CREATE DATE	FILE SIZE	FILE NAME	CD#1
08/14/03 11:23 a	16,397	2750-0990P Table 1.txt
08/14/03 11:38 a	13,742	2750-1000P Table 1.txt
08/14/03 11:44 a	76,309	2750-1014P Table 1.txt
08/14/03 11:17 a	63,621	2750-1022P Table 1.txt
08/14/03 11:15 a	36,229	2750-1024P Table 1.txt
08/14/03 11:12 a	37,293	2750-1026P Table 1.txt
08/14/03 11:06 a	24,431	2750-1032P Table 1.txt
08/14/03 11:09 a	125,843	2750-1033P Table 1.txt
08/14/03 12:29 p	29,397	2750-1309P Table 1.txt
08/14/03 12:02 p	37,896	2750-1330P Table 1.txt
09/26/02 05:02 p	970,635	2750-1434P Table 1.txt
08/14/03 11:41 a	81,391	2750-1539P.txt
08/15/03 11:11 a	12,306,911	2750-1067P Table 1.txt
08/15/03 11:12 a	20,082,158	2750-1067P Table 2.txt
09/26/02 07:59 p	2,282,461	010103 Protein Domain Table.txt
09/26/02 07:59 p	1,027,504	Linkage Table.txt
09/26/02 07:59 p	16,291,710	Reference table 1-1.txt
09/26/02 07:59 p	415,379	Reference table 1-10.txt
09/26/02 07:59 p	326,402	Reference table 1-11.txt
09/26/02 07:59 p	240,743	Reference table 1-12.txt
09/26/02 07:59 p	404,923	Reference table 1-13a.txt
09/26/02 07:59 p	293,706	Reference table 1-14.txt
09/26/02 07:59 p	17,970,104	Reference table 1-2.txt
09/26/02 07:59 p	368,382	Reference table 1-15.txt
09/26/02 07:59 p	353,705	Reference table 1-16.txt
09/26/02 07:59 p	343,729	Reference table 1-17.txt
09/26/02 07:59 p	213,461	Reference table 1-18.txt
09/26/02 07:59 p	21,214,300	Reference table 1-3.txt
09/26/02 07:59 p	19,917,620	Reference table 1-4.txt
09/26/02 07:59 p	19,445,025	Reference table 1-5.txt
09/26/02 07:59 p	19,966,407	Reference table 1-6.txt
09/26/02 07:59 p	20,715,021	Reference table 1-7.txt
09/26/02 07:59 p	19,910,834	Reference table 1-8.txt
09/26/02 07:59 p	13,614,514	Reference table 1-9.txt
09/26/02 07:59 p	19,109,376	sequence table 2-1.txt
09/26/02 07:59 p	3,227,432	Sequence table 2-10.txt
09/26/02 07:59 p	3,163,686	Sequence table 2-11.txt
09/26/02 07:59 p	3,306,298	Sequence table 2-12.txt
09/26/02 07:59 p	4,138,687	Sequence table 2-13.txt
09/26/02 07:59 p	3,798,626	Sequence table 2-14.txt
09/26/02 07:59 p	3,545,192	Sequence table 2-15.txt
09/26/02 07:59 p	2,972,792	Sequence table 2-16.txt
09/26/02 07:59 p	3,036,865	Sequence table 2-17.txt
08/05/03 01:29 p	0	NE03~1
09/26/02 07:59 p	1,843,822	Sequence table 2-18.txt
09/26/02 07:59 p	24,249,248	Sequence table 2-2.txt
09/26/02 07:59 p	43,222,912	Sequence table 2-3.txt
09/26/02 07:59 p	37,592,742	Sequence table 2-4.txt
09/26/02 07:59 p	36,235,456	Sequence table 2-5.txt
09/26/02 08:00 p	38,936,898	Sequence table 2-6.txt
09/26/02 08:00 p	36,922,994	Sequence table 2-7.txt
09/26/02 08:00 p	36,253,009	Sequence table 2-8.txt
09/26/02 08:00 p	24,426,947	Sequence table 2-9.txt
09/26/02 08:00 p	5,823,003	Table 1.txt
09/26/02 08:17 p	2,159,160	001018 Protein Domain Table.txt
09/26/02 08:17 p	12,553,156	2750-1383P Reference Table 1-1.txt.txt
09/26/02 08:17 p	5,095,131	2750-1383P Reference Table 1-2.txt
09/26/02 08:17 p	11,149,192	2750-1383P Reference Table 1-3.txt
09/26/02 08:17 p	3,653,294	2750-1383P Reference Table 1-4.txt
09/26/02 08:17 p	10,308,774	2750-1383P Reference Table 1-5.txt
09/26/02 08:17 p	640,480	2750-1383P Reference Table 1-6.txt
09/26/02 08:17 p	631,956	2750-1383P Reference Table 1-7.txt
09/26/02 08:17 p	524,287	2750-1383P reference table 1-8.txt
09/26/02 08:17 p	187,382	2750-1383P reference table 1-9.txt
09/26/02 08:17 p	16,939,937	2750-1383P Sequence Table 2-1.txt.txt
09/26/02 08:17 p	5,542,701	2750-1383P Sequence Table 2-2.txt
09/26/02 08:17 p	20,453,906	2750-1383P Sequence Table 2-3.txt
09/26/02 08:17 p	6,726,925	2750-1383P Sequence Table 2-4.txt
09/26/02 08:17 p	7,242,795	2750-1383P Sequence Table 2-5.txt
09/26/02 08:17 p	3,464,934	2750-1383P Sequence Table 2-6.txt
09/26/02 08:17 p	4,001,618	2750-1383P Sequence Table 2-7.txt
09/26/02 08:17 p	3,170,298	2750-1383P sequence table 2-8.txt
09/26/02 08:17 p	1,033,609	2750-1383P sequence table 2-9.txt
09/26/02 04:44 p	2,752,459	010809 Protein Domain Table.txt
09/26/02 04:44 p	4,820,849	Aragen_Table 1.txt
09/26/02 04:44 p	4,810,511	Aragen_Table 2.txt
09/26/02 04:44 p	1,678,120	Aragen_Table 3.txt
09/26/02 04:44 p	31,033	Ockham_Table 1.txt
09/26/02 04:45 p	9,677,321	2750-1250P Sequence Table 2-2.txt
09/26/02 04:45 p	2,620,647	2750-1250P Reference Table 1-1.txt
09/26/02 04:45 p	1,441,278	2750-1250P Reference Table 1-2.txt
09/26/02 04:45 p	11,618,052	2750-1250P Sequence Table 2-1.txt
09/26/02 04:45 p	2,159,160	001018 Protein Domain Table.txt
09/26/02 04:45 p	2,752,459	010809 Protein Domain Table.txt
09/26/02 04:45 p	1,125,500	Aragen_Table 1.txt
09/26/02 04:45 p	655,638	Ockham_Table 1.txt
08/14/03 01:11 p	8,349,820	2750-1572P Table 2.txt
08/14/03 01:10 p	1,871,818	2750-1572P Table 1.txt
09/26/02 04:45 p	2,752,459	010809 Protein Domain Table.txt

File Create Date	File Size	File Name	CD#2
08/14/03 12:54 p	30,304,534	2750-0709P Reference Table 1.txt
08/14/03 12:55 p	1,679,290	2750-0709P Reference Table 2.txt
08/14/03 12:57 p	144,192,876	2750-0709P Sequence Table 1.txt
08/14/03 01:00 p	12,085,979	2750-0709P Sequence table 2.txt
09/26/02 05:58 p	2,129,953	2750-1243P Reference Table 1-4.txt
09/26/02 05:58 p	2,990,524	2750-1243P Reference Table 1-2.txt
09/26/02 05:58 p	1,888,794	2750-1243P Reference Table 1-3.txt
09/26/02 05:58 p	10,066,163	2750-1243P Reference Table 1-1.txt
09/26/02 05:58 p	4,915,563	2750-1243P Reference Table 1-5.txt
09/26/02 05:58 p	3,838,034	2750-1243P Reference Table 1-6.txt
09/26/02 05:58 p	1,693,772	2750-1243P Reference Table 1-7.txt
09/26/02 05:58 p	1,397,767	2750-1243P Reference Table 1-8.txt
09/26/02 05:58 p	81,613,286	2750-1243P Sequence Table 2-1.txt
09/26/02 05:58 p	40,709,536	2750-1243P Sequence Table 2-2.txt
09/26/02 05:58 p	6,886,798	2750-1243P Sequence Table 2-3.txt
09/26/02 05:58 p	9,151,726	2750-1243P Sequence Table 2-8.txt
09/26/02 05:58 p	25,453,987	2750-1243P Sequence Table 2-5.txt
09/26/02 05:58 p	26,524,617	2750-1243P Sequence Table 2-6.txt
09/26/02 05:58 p	8,232,431	2750-1243P Sequence Table 2-7.txt
09/26/02 05:58 p	10,217,391	2750-1243P Sequence Table 2-4.txt
09/26/02 08:17 p	641,811	reference table 1-1.txt
09/26/02 08:17 p	587,405	reference table 1-10.txt
09/26/02 08:17 p	146,916	reference table 1-11.txt
09/26/02 08:17 p	809,200	reference table 1-12.txt
09/26/02 08:17 p	770,850	reference table 1-13.txt
09/26/02 08:17 p	742,436	reference table 1-14.txt
09/26/02 08:17 p	845,060	reference table 1-15.txt
09/26/02 08:17 p	834,735	reference table 1-16.txt
09/26/02 08:17 p	920,456	reference table 1-17.txt
09/26/02 08:17 p	860,758	reference table 1-18.txt
09/26/02 08:17 p	899,236	reference table 1-19.txt
09/26/02 08:17 p	549,072	reference table 1-2.txt
09/26/02 08:17 p	618,299	reference table 1-20.txt
09/26/02 08:17 p	779,148	reference table 1-21.txt
09/26/02 08:17 p	475,429	reference table 1-22.txt
09/26/02 08:17 p	940,392	reference table 1-3.txt
09/26/02 08:17 p	384,546	reference table 1-4.txt
09/26/02 08:17 p	579,915	reference table 1-5.txt
09/26/02 08:17 p	631,478	reference table 1-6.txt
09/26/02 08:17 p	526,981	reference table 1-7.txt
09/26/02 08:17 p	141,293	reference table 1-8.txt
09/26/02 08:17 p	530,763	reference table 1-9.txt
09/26/02 08:17 p	4,991,567	sequence table 2-1.txt
09/26/02 08:17 p	4,238,212	sequence table 2-10.txt
09/26/02 08:17 p	898,672	sequence table 2-11.txt
09/26/02 08:17 p	4,292,250	sequence table 2-12.txt
09/26/02 08:17 p	3,984,641	sequence table 2-13.txt
09/26/02 08:17 p	4,146,908	sequence table 2-14.txt
09/26/02 08:17 p	4,537,900	sequence table 2-15.txt
09/26/02 08:17 p	4,392,445	sequence table 2-16.txt
09/26/02 08:17 p	4,701,080	sequence table 2-17.txt
09/26/02 08:17 p	4,623,958	sequence table 2-18.txt
09/26/02 08:17 p	4,604,021	sequence table 2-19.txt
09/26/02 08:17 p	3,150,768	sequence table 2-2.txt
09/26/02 08:17 p	3,104,710	sequence table 2-20.txt
09/26/02 08:17 p	4,034,065	sequence table 2-21.txt
09/26/02 08:17 p	2,620,664	sequence table 2-22.txt
09/26/02 08:17 p	4,865,790	sequence table 2-3.txt
09/26/02 08:17 p	2,062,952	sequence table 2-4.txt
09/26/02 08:17 p	3,062,616	sequence table 2-5.txt
09/26/02 08:17 p	3,367,387	sequence table 2-6.txt
09/26/02 08:17 p	2,754,090	sequence table 2-7.txt
09/26/02 08:17 p	744,260	sequence table 2-8.txt
09/26/02 08:17 p	2,962,293	sequence table 2-9.txt
08/23/01 03:09 p	674,259	2750-1481P Sequence Table 2-19.txt
08/23/01 03:04 p	34,099	2750-1481P AFLP_Diff Table 10.txt
08/23/01 02:35 p	8,947	2750-1481P AFLP_Diff Table 2.txt
08/23/01 02:39 p	4,193	2750-1481P AFLP_Diff Table 3.txt
08/23/01 02:40 p	8,040	2750-1481P AFLP_Diff Table 4.txt
08/23/01 02:48 p	27,843	2750-1481P AFLP_Diff Table 5.txt
08/23/01 02:49 p	24,909	2750-1481P AFLP_Diff Table 6.txt
08/23/01 02:49 p	19,232	2750-1481P AFLP_Diff Table 7.txt
08/23/01 02:49 p	37,256	2750-1481P AFLP_Diff Table 8.txt
08/23/01 03:03 p	17,382	2750-1481P AFLP_Diff Table 9.txt
08/23/01 02:41 p	6,838,002	2750-1481P AFLP_Int Table 1.txt
08/23/01 02:43 p	9,018,420	2750-1481P AFLP_Int Table 2.txt
08/23/01 02:35 p	1,431,495	2750-1481P GA Reference Table 1-05.txt
08/23/01 02:36 p	2,831,388	2750-1481P GA Reference Table 1-06.txt
08/23/01 02:36 p	16,259	2750-1481P GA Reference Table 1-07.txt
08/23/01 02:37 p	23,269	2750-1481P GA Reference Table 1-08.txt
08/23/01 02:37 p	2,228,027	2750-1481P GA Sequence Table 2-05.txt
08/23/01 02:38 p	5,140,356	2750-1481P GA Sequence Table 2-06.txt
08/23/01 02:38 p	146,210	2750-1481P GA Sequence Table 2-07.txt
08/23/01 02:39 p	198,226	2750-1481P GA Sequence Table 2-08.txt
08/23/01 02:28 p	4,637,946	2750-1481P Nitrogen Reference Table 1-01.txt
08/23/01 02:29 p	2,949,689	2750-1481P Nitrogen Reference Table 1-02.txt
08/23/01 02:30 p	45,050	2750-1481P Nitrogen Reference Table 1-03.txt
08/23/01 02:30 p	27,722	2750-1481P Nitrogen Reference Table 1-04.txt
08/23/01 02:31 p	6,614,978	2750-1481P Nitrogen Sequence Table 2-01.txt
08/23/01 02:32 p	4,698,688	2750-1481P Nitrogen Sequence Table 2-02.txt
08/23/01 02:33 p	414,051	2750-1481P Nitrogen Sequence Table 2-03.txt
08/23/01 02:33 p	220,703	2750-1481P Nitrogen Sequence Table 2-04.txt
08/23/01 02:59 p	6,458,302	2750-1481P Reference Table 1-13.txt
08/23/01 02:59 p	9,489,750	2750-1481P Reference Table 1-14.txt
08/23/01 03:00 p	74,951	2750-1481P Reference Table 1-15.txt
08/23/01 03:00 p	98,566	2750-1481P Reference Table 1-16.txt
08/23/01 03:05 p	6,256,208	2750-1481P Reference Table 1-17.txt
08/23/01 03:06 p	9,058,233	2750-1481P Reference Table 1-18.txt
08/23/01 03:07 p	54,534	2750-1481P Reference Table 1-19.txt
08/23/01 03:07 p	115,376	2750-1481P Reference Table 1-20.txt
08/23/01 02:44 p	8,271,553	2750-1481P SA Reference Table 1-09.txt
08/23/01 02:45 p	7,643,610	2750-1481P SA Reference Table 1-10.txt
08/23/01 02:45 p	105,942	2750-1481P SA Reference Table 1-11.txt
08/23/01 02:46 p	109,452	2750-1481P SA Reference Table 1-12.txt
08/23/01 02:46 p	13,253,894	2750-1481P SA Sequence Table 2-09.txt
08/23/01 02:47 p	11,287,488	2750-1481P SA Sequence Table 2-10.txt
08/23/01 02:47 p	877,943	2750-1481P SA Sequence Table 2-11.txt
08/23/01 02:48 p	933,024	2750-1481P SA Sequence Table 2-12.txt
08/23/01 03:01 p	11,183,177	2750-1481P Sequence Table 2-13.txt
08/23/01 03:02 p	14,646,870	2750-1481P Sequence Table 2-14.txt
08/23/01 03:02 p	861,039	2750-1481P Sequence Table 2-15.txt
08/23/01 03:03 p	820,148	2750-1481P Sequence Table 2-16.txt
08/23/01 03:08 p	12,886,010	2750-1481P Sequence Table 2-17.txt
08/23/01 03:09 p	12,281,310	2750-1481P Sequence Table 2-18.txt
08/23/01 02:34 p	15,074	2750-1481P AFLP_Diff Table 1.txt
08/23/01 03:10 p	892,250	2750-1481P Sequence Table 2-20.txt
09/26/02 04:36 p	8,135,801	2750-0954P Seq Table 1.txt
09/26/02 04:36 p	8,246,903	2750-0954P Ref Table 1.txt
09/26/02 04:36 p	2,289,314	010214 Protein Domain Table.txt
09/26/02 04:44 p	2,752,459	010809 Protein Domain Table.txt
09/26/02 04:44 p	633,971	Ockham_Table 1.txt
09/26/02 04:46 p	91,002	Cluster Functions and Utilities 02.txt
09/26/02 04:46 p	6,256	Cluster Functions and Utilities 03.txt
09/26/02 04:46 p	6,292	Cluster Functions and Utilities 04.txt
09/26/02 04:46 p	37,345	Cluster Functions and Utilities 05.txt
09/26/02 04:46 p	96,535	Cluster Functions and Utilities 06.txt
09/26/02 04:46 p	8,447	Cluster Functions and Utilities 07.txt
09/26/02 04:46 p	17,087	Cluster Functions and Utilities 08.txt
09/26/02 04:46 p	1,232	docket_80090_101_cdna_map_II_delta
09/26/02 04:45 p	28,516	Ockham_Table 1.txt
09/26/02 04:45 p	1,172,396	Aragen_Table 1.txt
09/26/02 04:45 p	414,332	Aragen_Table 2.txt
09/26/02 04:45 p	2,752,459	010809 Protein Domain Table.txt
07/29/03 10:17 a	148,957	2750-1569P Table 1.txt
07/29/03 10:18 a	960,943	2750-1569P Table 2.txt
09/26/02 04:45 p	2,752,459	010809 Protein Domain Table.txt

File Create Date	File Size	File Name	CD#3
09/26/02 04:59 p	12,684	Cluster Functions and Utilities 01.txt
09/26/02 04:59 p	91,002	Cluster Functions and Utilities 02.txt
09/26/02 04:59 p	6,256	Cluster Functions and Utilities 03.txt
09/26/02 04:59 p	6,292	Cluster Functions and Utilities 04.txt
09/26/02 04:59 p	37,345	Cluster Functions and Utilities 05.txt
09/26/02 04:59 p	96,535	Cluster Functions and Utilities 06.txt
09/26/02 04:59 p	8,447	Cluster Functions and Utilities 07.txt
09/26/02 04:59 p	17,087	Cluster Functions and Utilities 08.txt
09/26/02 04:59 p	1,090,292	gb_only_peptides_II.fasta
09/26/02 04:59 p	6,947	KNOCK-IN_01.txt
09/26/02 04:59 p	11,374	KNOCK-IN_02.txt
09/26/02 04:59 p	1,645,031	knock_out._01
09/26/02 04:59 p	2,752,459	Protein Domain Table.txt
09/26/02 04:59 p	19,858,561	protein_group.001
09/26/02 04:59 p	10,115,454	protein_group.002
09/26/02 04:59 p	20,971,520	protein_group_matrix.001
09/26/02 04:59 p	20,971,520	protein_group_matrix.002
09/26/02 04:59 p	20,971,520	protein_group_matrix.003
09/26/02 04:59 p	20,971,520	protein_group_matrix.004
09/26/02 04:59 p	20,971,520	protein_group_matrix.005
09/26/02 04:59 p	20,971,520	protein_group_matrix.006
09/26/02 04:59 p	20,971,520	protein_group_matrix.007
09/26/02 04:59 p	20,971,520	protein_group_matrix.008
09/26/02 04:59 p	20,971,520	protein_group_matrix.009
09/26/02 04:59 p	20,971,520	protein_group_matrix.010
09/26/02 04:59 p	20,971,520	protein_group_matrix.011
09/26/02 05:00 p	101,007	Table A.txt
09/26/02 04:59 p	12,595,677	protein_group_matrix.012
09/26/02 04:59 p	24,200	reference.311987.710-0004-55300-US-U-31949.01_0a_1
09/26/02 04:59 p	1,789,210	reference.311987.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	6,241	reference.311988.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	39,017	reference.3769.710-0004-55300-US-U-31949.01_0a_1
09/26/02 04:59 p	5,306,421	reference.3769.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	23,116	reference.3847.710-0004-55300-US-U-31949.01_0a_1
09/26/02 04:59 p	685,251	reference.3847.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	136,815	sequences.311987.710-0004-55300-US-U-31949.01_0a_1
09/26/02 04:59 p	1,130,823	sequences.311987.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	3,492	sequences.311988.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	373,913	sequences.3769.710-0004-55300-US-U-31949.01_0a_1
09/26/02 04:59 p	9,436,931	sequences.3769.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	524,416	sequences.3847.710-0004-55300-US-U-31949.01_1
09/26/02 04:59 p	129,541	sequences.3847.710-0004-55300-US-U-31949.01_0a_1
09/26/02 04:35 p	2,282,461	010103 Protein Domain Table.txt
09/26/02 04:35 p	2,659,137	2750-1387P Reference Table 1-1.txt
09/26/02 04:35 p	5,547,575	2750-1387P Reference Table 1-2.txt
09/26/02 04:36 p	1,023,813	2750-1387P Reference Table 1-3.txt
09/26/02 04:36 p	3,360,505	2750-1387P Reference Table 1-4.txt
09/26/02 04:36 p	8,269,532	2750-1387P Reference Table 1-5.txt
09/26/02 04:36 p	1,010,271	2750-1387P Reference Table 1-6.txt
09/26/02 04:36 p	15,141,732	2750-1387P Sequence Table 2-1.txt
09/26/02 04:36 p	29,045,309	2750-1387P Sequence Table 2-2.txt
09/26/02 04:36 p	5,973,892	2750-1387P Sequence Table 2-3.txt
09/26/02 04:36 p	15,288,450	2750-1387P Sequence Table 2-4.txt
09/26/02 04:36 p	47,699,502	2750-1387P Sequence Table 2-5.txt
09/26/02 04:36 p	4,790,691	2750-1387P Sequence Table 2-6.txt
09/26/02 04:36 p	614,728	2750-1387P Sequence Table 2-7.txt
09/26/02 04:44 p	2,752,459	010809 Protein Domain Table.txt
09/26/02 04:44 p	6,652,180	2750-1252P Reference Table 1-001.txt
09/26/02 04:44 p	2,032,841	2750-1252P Reference Table 1-002.txt
09/26/02 04:44 p	5,220,297	2750-1252P Reference Table 1-003.txt
09/26/02 04:44 p	5,160,707	2750-1252P Reference Table 1-004.txt
09/26/02 04:44 p	4,574,052	2750-1252P Reference Table 1-005.txt
09/26/02 04:44 p	5,409,324	2750-1252P Reference Table 1-006.txt
09/26/02 04:44 p	5,030,974	2750-1252P Reference Table 1-007.txt
09/26/02 04:44 p	5,793,139	2750-1252P Reference Table 1-008.txt
09/26/02 04:44 p	6,005,613	2750-1252P Reference Table 1-009.txt
09/26/02 04:44 p	4,313,369	2750-1252P Reference Table 1-010.txt
09/26/02 04:44 p	4,448,300	2750-1252P Reference Table 1-011.txt
09/26/02 04:44 p	5,494,573	2750-1252P Reference Table 1-012.txt
09/26/02 04:44 p	5,340,296	2750-1252P Reference Table 1-013.txt
09/26/02 04:44 p	6,149,154	2750-1252P Reference Table 1-014.txt
09/26/02 04:44 p	2,116,257	2750-1252P Reference Table 1-015.txt
09/26/02 04:44 p	43,111	2750-1252P Reference Table 1-016.txt
09/26/02 04:44 p	7,230	2750-1252P Reference Table 1-017.txt
09/26/02 04:44 p	175,569	2750-1252P Reference Table 1-018.txt
09/26/02 04:44 p	164,674	2750-1252P Reference Table 1-019.txt
09/26/02 04:44 p	193,412	2750-1252P Reference Table 1-020.txt
09/26/02 04:44 p	133,821	2750-1252P Reference Table 1-021.txt
09/26/02 04:44 p	173,694	2750-1252P Reference Table 1-022.txt
09/26/02 04:44 p	129,711	2750-1252P Reference Table 1-023.txt
09/26/02 04:44 p	158,225	2750-1252P Reference Table 1-024.txt
09/26/02 04:44 p	151,019	2750-1252P Reference Table 1-025.txt
09/26/02 04:44 p	203,108	2750-1252P Reference Table 1-026.txt
09/26/02 04:44 p	132,151	2750-1252P Reference Table 1-027.txt
09/26/02 04:44 p	157,413	2750-1252P Reference Table 1-028.txt
09/26/02 04:44 p	177,452	2750-1252P Reference Table 1-029.txt
09/26/02 04:44 p	51,045	2750-1252P Reference Table 1-030.txt
09/26/02 04:44 p	5,736,649	2750-1252P Sequence Table 2-001.txt
09/26/02 04:44 p	1,643,051	2750-1252P Sequence Table 2-002.txt
09/26/02 04:44 p	6,020,021	2750-1252P Sequence Table 2-003.txt
09/26/02 04:44 p	5,418,841	2750-1252P Sequence Table 2-004.txt
09/26/02 04:44 p	5,154,091	2750-1252P Sequence Table 2-005.txt
09/26/02 04:44 p	6,516,087	2750-1252P Sequence Table 2-006.txt
09/26/02 04:44 p	6,252,730	2750-1252P Sequence Table 2-007.txt
09/26/02 04:44 p	7,359,295	2750-1252P Sequence Table 2-008.txt
09/26/02 04:44 p	7,601,548	2750-1252P Sequence Table 2-009.txt
09/26/02 04:44 p	5,848,429	2750-1252P Sequence Table 2-010.txt
09/26/02 04:44 p	5,157,539	2750-1252P Sequence Table 2-011.txt
09/26/02 04:44 p	6,534,180	2750-1252P Sequence Table 2-012.txt
09/26/02 04:44 p	6,488,455	2750-1252P Sequence Table 2-013.txt
09/26/02 04:44 p	7,656,741	2750-1252P Sequence Table 2-014.txt
09/26/02 04:44 p	2,625,572	2750-1252P Sequence Table 2-015.txt
09/26/02 04:44 p	275,991	2750-1252P Sequence Table 2-016.txt
09/26/02 04:44 p	42,826	2750-1252P Sequence Table 2-017.txt
09/26/02 04:44 p	1,131,139	2750-1252P Sequence Table 2-018.txt
09/26/02 04:44 p	1,011,301	2750-1252P Sequence Table 2-019.txt
09/26/02 04:44 p	1,207,032	2750-1252P Sequence Table 2-020.txt
09/26/02 04:44 p	987,564	2750-1252P Sequence Table 2-021.txt
09/26/02 04:44 p	1,222,215	2750-1252P Sequence Table 2-022.txt
09/26/02 04:44 p	1,007,444	2750-1252P Sequence Table 2-023.txt
09/26/02 04:44 p	1,016,011	2750-1252P Sequence Table 2-024.txt
09/26/02 04:44 p	882,796	2750-1252P Sequence Table 2-025.txt
09/26/02 04:44 p	1,050,724	2750-1252P Sequence Table 2-026.txt
09/26/02 04:44 p	1,027,314	2750-1252P Sequence Table 2-027.txt
09/26/02 04:44 p	1,095,754	2750-1252P Sequence Table 2-028.txt
09/26/02 04:44 p	1,014,547	2750-1252P Sequence Table 2-029.txt
09/26/02 04:44 p	316,520	2750-1252P Sequence Table 2-030.txt
02/05/03 05:24 p	24,266,857	2750-1545P CD as filed.zip.pg p
02/05/03 05:19 p	24,683,951	2750-1545P CD as filed.zi p
09/26/02 04:44 p	2,752,459	010809 Protein Domain Table.txt
09/26/02 04:44 p	44,396	Table 1.txt
05/05/03 11:43 a	1,504,078	2000-07-21 2750-1070P Protein Domain Table.txt
05/05/03 11:55 a	24,444,077	2750-1070P Table 1.txt
05/05/03 11:56 a	9,845,287	2750-1070P Table 2.txt
07/15/03 01:30 p	1,321,027	2750-1567P Table 1.txt
07/15/03 01:31 p	4,773,627	2750-1567P Table 2.txt
09/26/02 04:45 p	2,752,459	010809 Protein Domain Table.txt
09/26/02 04:45 p	2,752,459	010809 Protein Domain Table.txt
08/04/03 12:30 p	4,909,844	2750-1570P Table 2.txt
08/04/03 12:29 p	4,093,059	2750-1570P Table 1.txt

File Create Date	File Size	File Name	CD#4
08/14/03 01:12 p	3,816,673	2750-1063P Table 1.txt
08/14/03 01:13 p	16,086,510	2750-1063P Table 2.txt
08/14/03 01:13 p	2,048,453	2750-1064P Table 1.txt
08/14/03 01:14 p	9,105,798	2750-1064P Table 2.txt
08/14/03 01:14 p	837,468	2750-1242P TABLE 1.txt
08/14/03 01:14 p	5,292,389	2750-1242P TABLE 2.txt
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12/13/02 03:05 p	204,932	reference.4565.710-0004-55300-US-U-33929.01_0a_1
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12/13/02 03:05 p	1,461,495	reference.3847.710-0004-55300-US-U-33929.01_2
12/13/02 03:05 p	5,196,105	reference.3847.710-0004-55300-US-U-33929.01_1
12/13/02 03:05 p	171,276	reference.3847.710-0004-55300-US-U-33929.01_0a_2
12/13/02 03:05 p	157,744	reference.3847.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:05 p	903,438	reference.3769.710-0004-55300-US-U-33929.01_3
12/13/02 03:05 p	6,702,929	reference.3769.710-0004-55300-US-U-33929.01_2
12/13/02 03:05 p	7,557,218	reference.3769.710-0004-55300-US-U-33929.01_1
12/13/02 03:05 p	4,728	reference.3769.710-0004-55300-US-U-33929.01_0a_3
12/13/02 03:05 p	80,880	reference.3769.710-0004-55300-US-U-33929.01_0a_2
12/13/02 03:05 p	53,003	reference.3769.710-0004-55300-US-U-33929.01_0a_1
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12/13/02 03:05 p	13	reference.311988.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:05 p	2,423,462	reference.311987.710-0004-55300-US-U-33929.01_5
12/13/02 03:05 p	3,162,883	reference.311987.710-0004-55300-US-U-33929.01_4
12/13/02 03:05 p	5,018,727	reference.311987.710-0004-55300-US-U-33929.01_3
12/13/02 03:05 p	5,473,154	reference.311987.710-0004-55300-US-U-33929.01_2
12/13/02 03:05 p	5,612,668	reference.311987.710-0004-55300-US-U-33929.01_1
12/13/02 03:05 p	247,901	reference.311987.710-0004-55300-US-U-33929.01_0a_5
12/13/02 03:05 p	235,001	reference.311987.710-0004-55300-US-U-33929.01_0a_4
12/13/02 03:05 p	159,034	reference.311987.710-0004-55300-US-U-33929.01_0a_3
12/13/02 03:05 p	139,652	reference.311987.710-0004-55300-US-U-33929.01_0a_2
12/13/02 03:05 p	1,704,454	reference.4565.710-0004-55300-US-U-33929.01_2
12/13/02 03:06 p	1,818,166	sequences.4565.710-0004-55300-US-U-33929.01_2
12/13/02 03:06 p	4,817,405	sequences.4565.710-0004-55300-US-U-33929.01_1
12/13/02 03:06 p	1,063,406	sequences.4565.710-0004-55300-US-U-33929.01_0a_2
12/13/02 03:06 p	1,214,525	sequences.4565.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:06 p	559,071	sequences.39946.710-0004-55300-US-U-33929.01_1
12/13/02 03:06 p	13	sequences.39946.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:06 p	1,381,068	sequences.3847.710-0004-55300-US-U-33929.01_2
12/13/02 03:06 p	5,490,732	sequences.3847.710-0004-55300-US-U-33929.01_1
12/13/02 03:06 p	881,765	sequences.3847.710-0004-55300-US-U-33929.01_0a_2
12/13/02 03:06 p	879,313	sequences.3847.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:06 p	1,085,601	sequences.3769.710-0004-55300-US-U-33929.01_3
12/13/02 03:06 p	10,411,525	sequences.3769.710-0004-55300-US-U-33929.01_2
12/13/02 03:06 p	11,658,521	sequences.3769.710-0004-55300-US-U-33929.01_1
12/13/02 03:06 p	21,229	sequences.3769.710-0004-55300-US-U-33929.01_0a_3
12/13/02 03:06 p	633,533	sequences.3769.710-0004-55300-US-U-33929.01_0a_2
12/13/02 03:06 p	585,466	sequences.3769.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:06 p	1,260,011	sequences.3708.710-0004-55300-US-U-33929.01_1
12/13/02 03:06 p	27,070	sequences.3708.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:06 p	727,497	sequences.311988.710-0004-55300-US-U-33929.01_1
12/13/02 03:06 p	13	sequences.311988.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:06 p	2,435,263	sequences.311987.710-0004-55300-US-U-33929.01_5
12/13/02 03:06 p	2,672,012	sequences.311987.710-0004-55300-US-U-33929.01_4
12/13/02 03:06 p	6,219,995	sequences.311987.710-0004-55300-US-U-33929.01_3
12/13/02 03:06 p	8,126,428	sequences.311987.710-0004-55300-US-U-33929.01_2
12/13/02 03:06 p	1,290,515	sequences.311987.710-0004-55300-US-U-33929.01_0a_1
12/13/02 03:06 p	1,352,466	sequences.311987.710-0004-55300-US-U-33929.01_0a_5
12/13/02 03:06 p	1,117,762	sequences.311987.710-0004-55300-US-U-33929.01_0a_4
12/13/02 03:06 p	990,150	sequences.311987.710-0004-55300-US-U-33929.01_0a_3
12/13/02 03:06 p	1,080,713	sequences.311987.710-0004-55300-US-U-33929.01_0a_2
12/13/02 03:06 p	7,904,030	sequences.311987.710-0004-55300-US-U-33929.01_1
09/26/02 04:45 p	2,752,459	010809 Protein Domain Table.txt
09/26/02 04:45 p	34,876	2750-1478P ABA MA_Diff Table 13.txt
09/26/02 04:45 p	8,114,623	2750-1478P ABA Reference Table 1-033.txt
09/26/02 04:45 p	235,643	2750-1478P ABA Reference Table 1-034.txt
09/26/02 04:45 p	11,264,007	2750-1478P ABA Sequence Table 2-033.txt
09/26/02 04:45 p	1,479,355	2750-1478P ABA Sequence Table 2-034.txt
09/26/02 04:45 p	12,602	2750-1478P BA MA_Diff Table 14.txt
09/26/02 04:45 p	3,146,661	2750-1478P BA Reference Table 1-035.txt
09/26/02 04:45 p	79,951	2750-1478P BA Reference Table 1-036.txt
09/26/02 04:45 p	5,175,695	2750-1478P BA Sequence Table 2-035.txt
09/26/02 04:45 p	491,022	2750-1478P BA Sequence Table 2-036.txt
09/26/02 04:45 p	39,229	2750-1478P Cold MA_Diff Table 15.txt
09/26/02 04:45 p	9,980,136	2750-1478P Cold Reference Table 1-037.txt
09/26/02 04:45 p	323,833	2750-1478P Cold Reference Table 1-038.txt
09/26/02 04:45 p	14,155,715	2750-1478P Cold Sequence Table 2-037.txt
09/26/02 04:45 p	2,199,502	2750-1478P Cold Sequence Table 2-038.txt
09/26/02 04:45 p	79,249	2750-1478P Drought MA_Diff Table 1.txt
09/26/02 04:45 p	12,429,909	2750-1478P Drought Reference Table 1-001.txt
09/26/02 04:45 p	5,957,204	2750-1478P Drought Reference Table 1-002.txt
09/26/02 04:45 p	329,244	2750-1478P Drought Reference Table 1-003.txt
09/26/02 04:45 p	163,094	2750-1478P Drought Reference Table 1-004.txt
09/26/02 04:45 p	18,830,064	2750-1478P Drought Sequence Table 2-001.txt
09/26/02 04:45 p	6,962,292	2750-1478P Drought Sequence Table 2-002.txt
09/26/02 04:45 p	2,340,574	2750-1478P Drought Sequence Table 2-003.txt
09/26/02 04:45 p	1,006,980	2750-1478P Drought Sequence Table 2-004.txt
09/26/02 04:45 p	5,852	2750-1478P Epi-Brass MA_Diff Table 2.txt
09/26/02 04:45 p	1,493,135	2750-1478P Epi-Brass Reference Table 1-005.txt
09/26/02 04:45 p	38,191	2750-1478P Epi-Brass Reference Table 1-006.txt
09/26/02 04:45 p	2,093,327	2750-1478P Epi-Brass Sequence Table 2-005.txt
09/26/02 04:45 p	211,384	2750-1478P Epi-Brass Sequence Table 2-006.txt
09/26/02 04:45 p	2,731	2750-1478P GA3 MA_Diff Table 3.txt
09/26/02 04:45 p	613,053	2750-1478P GA3 Reference Table 1-007.txt
09/26/02 04:45 p	20,963	2750-1478P GA3 Reference Table 1-008.txt
09/26/02 04:45 p	879,816	2750-1478P GA3 Sequence Table 2-007.txt
09/26/02 04:45 p	115,208	2750-1478P GA3 Sequence Table 2-008.txt
09/26/02 04:45 p	17,139	2750-1478P H2O2 MA_Diff Table 7.txt
09/26/02 04:45 p	4,217,783	2750-1478P H2O2 Reference Table 1-017.txt
09/26/02 04:45 p	135,138	2750-1478P H2O2 Reference Table 1-018.txt
09/26/02 04:45 p	6,275,832	2750-1478P H2O2 Sequence Table 2-017.txt
09/26/02 04:45 p	861,090	2750-1478P H2O2 Sequence Table 2-018.txt
09/26/02 04:45 p	58,453	2750-1478P Heat MA_Diff Table 8.txt
09/26/02 04:45 p	13,157,320	2750-1478P Heat Reference Table 1-019.txt
09/26/02 04:45 p	328,512	2750-1478P Heat Reference Table 1-020.txt
09/26/02 04:45 p	396,083	2750-1478P Heat Reference Table 1-021.txt
09/26/02 04:45 p	17,895	2750-1478P Heat Reference Table 1-022.txt
09/26/02 04:45 p	18,383,397	2750-1478P Heat Sequence Table 2-019.txt
09/26/02 04:45 p	357,785	2750-1478P Heat Sequence Table 2-020.txt
09/26/02 04:45 p	2,492,505	2750-1478P Heat Sequence Table 2-021.txt
09/26/02 04:45 p	95,055	2750-1478P Heat Sequence Table 2-022.txt
09/26/02 04:45 p	55,902	2750-1478P Ler-pi MA_Diff Table 16.txt
09/26/02 04:45 p	11,727,933	2750-1478P Ler-pi Reference Table 1-039.txt
09/26/02 04:45 p	6,617,352	2750-1478P Ler-pi Reference Table 1-040.txt
09/26/02 04:45 p	384,228	2750-1478P Ler-pi Reference Table 1-041.txt
09/26/02 04:45 p	215,696	2750-1478P Ler-pi Reference Table 1-042.txt
09/26/02 04:45 p	18,008,803	2750-1478P Ler-pi Sequence Table 2-039.txt
09/26/02 04:46 p	7,647,727	2750-1478P Ler-pi Sequence Table 2-040.txt
09/26/02 04:46 p	2,542,236	2750-1478P Ler-pi Sequence Table 2-041.txt
09/26/02 04:46 p	1,340,428	2750-1478P Ler-pi Sequence Table 2-042.txt
09/26/02 04:46 p	13,714	2750-1478P Ler-rhl MA_Diff Table 17.txt
09/26/02 04:46 p	4,710,765	2750-1478P Ler-rhl Reference Table 1-043.txt
09/26/02 04:46 p	112,402	2750-1478P Ler-rhl Reference Table 1-044.txt
09/26/02 04:46 p	6,485,459	2750-1478P Ler-rhl Sequence Table 2-043.txt
09/26/02 04:46 p	698,619	2750-1478P Ler-rhl Sequence Table 2-044.txt
09/26/02 04:46 p	38,642	2750-1478P MeJA MA_Diff Table 4.txt
09/26/02 04:46 p	9,687,270	2750-1478P MeJA Reference Table 1-009.txt
09/26/02 04:46 p	291,044	2750-1478P MeJA Reference Table 1-010.txt
09/26/02 04:46 p	13,839,840	2750-1478P MeJA Sequence Table 2-009.txt
09/26/02 04:46 p	1,807,003	2750-1478P MeJA Sequence Table 2-010.txt
09/26/02 04:46 p	22,901	2750-1478P NAA MA_Diff Table 5.txt
09/26/02 04:46 p	5,717,128	2750-1478P NAA Reference Table 1-011.txt
09/26/02 04:46 p	169,894	2750-1478P NAA Reference Table 1-012.txt
09/26/02 04:46 p	8,853,422	2750-1478P NAA Sequence Table 2-011.txt
09/26/02 04:46 p	1,269,525	2750-1478P NAA Sequence Table 2-012.txt
09/26/02 04:46 p	61,724	2750-1478P NANP MA_Diff Table 6.txt
09/26/02 04:46 p	12,897,001	2750-1478P NANP Reference Table 1-013.txt
09/26/02 04:46 p	1,305,165	2750-1478P NANP Reference Table 1-014.txt
09/26/02 04:46 p	389,963	2750-1478P NANP Reference Table 1-015.txt
09/26/02 04:46 p	38,170	2750-1478P NANP Reference Table 1-016.txt
09/26/02 04:46 p	19,379,277	2750-1478P NANP Sequence Table 2-013.txt
09/26/02 04:46 p	1,485,555	2750-1478P NANP Sequence Table 2-014.txt
09/26/02 04:46 p	2,659,706	2750-1478P NANP Sequence Table 2-015.txt
09/26/02 04:46 p	267,565	2750-1478P NANP Sequence Table 2-016.txt
09/26/02 04:46 p	7,448	2750-1478P Nitrogen MA_Diff Table 10.txt
09/26/02 04:46 p	82,907	2750-1478P Nitrogen MA_Diff Table 9.txt
09/26/02 04:46 p	12,333,056	2750-1478P Nitrogen Reference Table 1-023.txt
09/26/02 04:46 p	384,416	2750-1478P Nitrogen Reference Table 1-024.txt
09/26/02 04:46 p	1,589,615	2750-1478P Nitrogen Reference Table 1-025.txt
09/26/02 04:46 p	66,231	2750-1478P Nitrogen Reference Table 1-026.txt
09/26/02 04:46 p	16,329,524	2750-1478P Nitrogen Sequence Table 2-023.txt
09/26/02 04:46 p	2,260,399	2750-1478P Nitrogen Sequence Table 2-024.txt
09/26/02 04:46 p	2,156,718	2750-1478P Nitrogen Sequence Table 2-025.txt
09/26/02 04:46 p	422,836	2750-1478P Nitrogen Sequence Table 2-026.txt
09/26/02 04:46 p	30,665	2750-1478P PEG MA_Diff Table 11.txt
09/26/02 04:46 p	7,065,745	2750-1478P PEG Reference Table 1-027.txt
09/26/02 04:46 p	228,347	2750-1478P PEG Reference Table 1-028.txt
09/26/02 04:46 p	9,955,156	2750-1478P PEG Sequence Table 2-027.txt
09/26/02 04:46 p	1,474,301	2750-1478P PEG Sequence Table 2-028.txt
09/26/02 04:46 p	57,061	2750-1478P SA MA_Diff Table 12.txt
09/26/02 04:46 p	13,586,897	2750-1478P SA Reference Table 1-029.txt
09/26/02 04:46 p	224,149	2750-1478P SA Reference Table 1-030.txt
09/26/02 04:46 p	392,414	2750-1478P SA Reference Table 1-031.txt
09/26/02 04:46 p	10,984	2750-1478P SA Reference Table 1-032.txt
09/26/02 04:46 p	19,677,158	2750-1478P SA Sequence Table 2-029.txt
09/26/02 04:46 p	219,958	2750-1478P SA Sequence Table 2-030.txt
09/26/02 04:46 p	2,655,768	2750-1478P SA Sequence Table 2-031.txt
09/26/02 04:46 p	41,051	2750-1478P SA Sequence Table 2-032.txt
09/26/02 04:46 p	14,931	2750-1478P Wounding MA_Diff Table 18.txt
09/26/02 04:46 p	3,476,687	2750-1478P Wounding Reference Table 1-045.txt
09/26/02 04:46 p	93,814	2750-1478P Wounding Reference Table 1-046.txt
09/26/02 04:46 p	4,893,522	2750-1478P Wounding Sequence Table 2-045.txt
09/26/02 04:46 p	605,811	2750-1478P Wounding Sequence Table 2-046.txt
08/09/01 02:21 p	2,752,459	010809 Protein Donain Table.txt
08/24/01 01:24 p	11,405,344	2750-1482P Reference Table 1-01.txt
08/24/01 01:27 p	12,083,955	2750-1482P Reference Table 1-02.txt
08/24/01 01:31 p	509,511	2750-1482P Reference Table 1-03.txt
08/24/01 01:32 p	226,209	2750-1482P Reference Table 104.txt
08/24/01 01:36 p	19,614,187	2750-1482P Sequence Table 2-01.txt
08/24/01 01:40 p	14,114,973	2750-1482P Sequence Table 2-02.txt
08/12/03 04:57 p	0	NE04~1
08/24/01 01:41 p	4,176,568	2750-1482P Sequence Table 2-03.txt
08/24/01 01:42 p	2,029,957	2750-1482P Sequence Table 2-04.txt

File Create Date	File Size	File Name	CD#5
09/26/02 08:24 p	2,752,459	010809 Protein Domain Table.txt
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09/26/02 08:24 p	3,709,763	orthologs.710-0004-55300-US-U-32792_12
09/26/02 08:24 p	3,709,648	orthologs.710-0004-55300-US-U-32792_13
09/26/02 08:24 p	3,574,485	orthologs.710-0004-55300-US-U-32792_14
09/26/02 08:24 p	3,994,380	orthologs.710-0004-55300-US-U-32792_15
09/26/02 08:24 p	3,406,134	orthologs.710-0004-55300-US-U-32792_16
09/26/02 08:24 p	3,650,891	orthologs.710-0004-55300-US-U-32792_17
09/26/02 08:24 p	3,420,198	orthologs.710-0004-55300-US-U-32792_18
09/26/02 08:24 p	3,493,649	orthologs.710-0004-55300-US-U-32792_19
09/26/02 08:24 p	3,812,707	orthologs.710-0004-55300-US-U-32792_2
09/26/02 08:24 p	3,514,236	orthologs.710-0004-55300-US-U-32792_20
09/26/02 08:24 p	3,627,651	orthologs.710-0004-55300-US-U-32792_21
09/26/02 08:24 p	3,484,322	orthologs.710-0004-55300-US-U-32792_22
09/26/02 08:24 p	3,409,930	orthologs.710-0004-55300-US-U-32792_23
09/26/02 08:24 p	3,391,808	orthologs.710-0004-55300-US-U-32792_24
09/26/02 08:24 p	3,622,761	orthologs.710-0004-55300-US-U-32792_25
09/26/02 08:24 p	3,675,893	orthologs.710-0004-55300-US-U-32792_26
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09/26/02 08:24 p	5,552,390	orthologs.710-0004-55300-US-U-32792_29
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09/26/02 08:24 p	5,116,383	orthologs.710-0004-55300-US-U-32792_30
09/26/02 08:24 p	6,185,864	orthologs.710-0004-55300-US-U-32792_31
09/26/02 08:24 p	5,880,889	orthologs.710-0004-55300-US-U-32792_32
09/26/02 08:24 p	5,826,198	orthologs.710-0004-55300-US-U-32792_33
09/26/02 08:24 p	5,919,050	orthologs.710-0004-55300-US-U-32792_34
09/26/02 08:24 p	5,886,020	orthologs.710-0004-55300-US-U-32792_35
09/26/02 08:24 p	5,700,570	orthologs.710-0004-55300-US-U-32792_36
09/26/02 08:24 p	730,537	orthologs.710-0004-55300-US-U-32792_37
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09/26/02 08:24 p	3,802,044	orthologs.710-0004-55300-US-U-32792_5
09/26/02 08:24 p	3,679,820	orthologs.710-0004-55300-US-U-32792_6
09/26/02 08:24 p	3,721,940	orthologs.710-0004-55300-US-U-32792_7
09/26/02 08:24 p	3,798,045	orthologs.710-0004-55300-US-U-32792_8
09/26/02 08:24 p	3,877,214	orthologs.710-0004-55300-US-U-32792_9
09/26/02 08:24 p	461,395	reference.311988.710-0004-55300-US-U-32792.01_0a_1
09/26/02 08:24 p	207,369	reference.311988.710-0004-55300-US-U-
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09/26/02 08:24 p	259,997	reference.311988.710-0004-55300-US-U-
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09/26/02 08:26 p	4,697,383	sequences.39946.710-0004-55300-US-U-32792.01_29
09/26/02 08:26 p	7,498,427	sequences.39946.710-0004-55300-US-U-32792.01_3
09/26/02 08:26 p	560,320	sequences.39946.710-0004-55300-US-U-32792.01_30
09/26/02 08:26 p	6,777,554	sequences.39946.710-0004-55300-US-U-32792.01_4
09/26/02 08:26 p	7,375,829	sequences.39946.710-0004-55300-US-U-32792.01_5
09/26/02 08:26 p	7,168,961	sequences.39946.710-0004-55300-US-U-32792.01_6
09/26/02 08:26 p	7,064,843	sequences.39946.710-0004-55300-US-U-32792.01_7
09/26/02 08:26 p	7,029,455	sequences.39946.710-0004-55300-US-U-32792.01_8
09/26/02 08:26 p	6,865,084	sequences.39946.710-0004-55300-US-U-32792.01_9

File Create Date	File Size	File Name	CD#6
09/26/02 05:00 p	392,675	80090-004 knock_in.txt
09/26/02 05:00 p	831,736	80090-004 knock_out
09/26/02 05:00 p	16,635,460	80090-004 ma_clusters
09/26/02 05:00 p	4,318,956	80090-004 ma_diff
09/26/02 05:00 p	2,752,459	80090-004_Protein Domain Table.txt
09/26/02 05:00 p	30,304,496	80090-004_Reference Table 1.txt
09/26/02 05:00 p	1,679,252	80090-004_Reference Table 2.txt
09/26/02 05:00 p	144,192,839	80090-004_Sequence Table 1.txt
09/26/02 05:00 p	4,052,876	cdna_clusters.txt
09/26/02 05:00 p	12,085,942	80090-004_Sequence Table 2.txt
09/26/02 05:00 p	35,153	Cluster Functions and Utilities (01).txt
09/26/02 05:00 p	40,447	Cluster Functions and Utilities (02).txt
09/26/02 05:00 p	4,473	Cluster Functions and Utilities (03).txt
09/26/02 05:00 p	7,820	Cluster Functions and Utilities (04).txt
09/26/02 05:00 p	24,047	Cluster Functions and Utilities (05).txt
09/26/02 05:00 p	18,490	Cluster Functions and Utilities (06).txt
09/26/02 05:00 p	331,616	enhanced_amino.txt
09/26/02 05:00 p	36,273	Cluster functions and utilities (07).txt
09/26/02 05:00 p	33,962	Cluster Functions and Utilities (08).txt
09/26/02 05:00 p	23,000	Cluster functions and utilities (09).txt
09/26/02 05:00 p	2,691	Cluster functions and utilities (10).txt
09/26/02 05:00 p	2,290	Cluster functions and utilities (11).txt
09/26/02 05:00 p	23,740	Cluster Funtions and Utilities (12).txt
09/26/02 05:00 p	296,887	docket_80090_101_cdna_map.txt
09/26/02 05:00 p	55,307	ma_diff Aluminum.txt
09/26/02 05:00 p	27,557	ma_diff Axel.txt
09/26/02 05:00 p	41,505	ma_diff Cadium .txt
09/26/02 05:00 p	53,938	ma_diff Cauliflower .txt
09/26/02 05:00 p	98,775	ma_diff Chloroplast.txt
09/26/02 05:00 p	160,542	ma_diff Circadian 1-02.txt
09/26/02 05:00 p	127,498	ma_diff Circadian 1-03.txt
09/26/02 05:00 p	166,158	ma_diff Circadian 1-04.txt
09/26/02 05:00 p	141,971	ma_diff Circadian 1-01.txt
09/26/02 05:00 p	56,536	ma_diff Circadian 1-05.txt
09/26/02 05:00 p	121,178	ma_diff Circadian 1-06.txt
09/26/02 05:00 p	133,389	ma_diff Circadian 1-07.txt
09/26/02 05:00 p	259,096	ma_diff Circadian 1-08.txt
09/26/02 05:00 p	228,222	ma_diff Circadian 1-09.txt
09/26/02 05:00 p	54,526	ma_diff Circadian 1-10.txt
09/26/02 05:00 p	134,759	ma_diff CO2 1-1.txt
09/26/02 05:00 p	241,865	ma_diff CO2 1-2.txt
09/26/02 05:00 p	63,264	ma_diff CO2 1-3.txt
09/26/02 05:00 p	59,530	ma_diff CO2 1-4.txt
09/26/02 05:00 p	372,633	ma_diff CO2 1-5.txt
09/26/02 05:00 p	9,220	ma_diff Disease .txt
09/26/02 05:00 p	25,114	ma_diff H2O2 .txt
09/26/02 05:00 p	4,073	ma_diff Iol .txt
09/26/02 05:00 p	283,026	ma_diff Iron 1-1.txt
09/26/02 05:00 p	90,890	ma_diff Iron 1-2.txt
09/26/02 05:00 p	51,342	ma_diff Mitochondria-Electron Transp.txt
09/26/02 05:00 p	107,920	ma_diff NAA (Auxin) 1-1.txt
09/26/02 05:00 p	50,267	ma_diff NAA (Auxin) 1-2.txt
09/26/02 05:00 p	67,291	ma_diff Nitrogen.txt
09/26/02 05:00 p	6,441	ma_diff Phototropism 1-1.txt
09/26/02 05:00 p	45,620	ma_diff Shade.txt
09/26/02 05:00 p	22,229	ma_diff Phototropism 1-2.txt
09/26/02 05:00 p	28,270	ma_diff Phototropism 1-3.txt
09/26/02 05:00 p	73,438	ma_diff Sqn.txt
09/26/02 05:00 p	3,828	ma_diff Sulfur.txt
09/26/02 05:00 p	67,949	ma_diff Wounding.txt
09/26/02 05:00 p	30,836	ma_diff Zinc.txt
09/26/02 05:00 p	1,476	Single gene functions and utilities (1).txt
09/26/02 05:00 p	2,223	single gene functions and utilities (2).txt
09/26/02 05:00 p	905	Single gene functions and utilities (3).txt
09/26/02 05:00 p	1,517	Single gene functions and utilities (4).txt
09/26/02 05:00 p	4,626	Single gene functions and utilities (5).txt
09/26/02 05:00 p	4,887	Single gene functions and utilities (6).txt
09/26/02 05:00 p	7,456	Single gene functions and utilities (7).txt
09/26/02 05:00 p	9,339	Single gene functions and utilities (8).txt
09/26/02 05:00 p	228,792	stanford_old_new_cdna_map.txt
09/26/02 08:27 p	2,838,347	020711 Protein Domain Table.txt
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09/26/02 08:27 p	309,035	reference.311987.710-0004-55300-US-U-33017.01_0a_3
09/26/02 08:27 p	214,197	reference.311987.710-0004-55300-US-U-33017.01_0a_4
09/26/02 08:27 p	2,906,221	reference.311987.710-0004-55300-US-U-33017.01_1
09/26/02 08:27 p	2,022,776	reference.311987.710-0004-55300-US-U-33017.01_2
09/26/02 08:27 p	1,944,097	reference.311987.710-0004-55300-US-U-33017.01_3
09/26/02 08:27 p	1,365,420	reference.311987.710-0004-55300-US-U-33017.01_4
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File Create Date	File Size	File Name	CD#7
09/26/02 04:31 p	1,315,168	reference.311988.710-0004-55300-US-U-31837.01_02
09/26/02 04:46 p	91,002	Cluster Functions and Utilities 02.txt
09/26/02 04:47 p	6,256	Cluster Functions and Utilities 03.txt
09/26/02 04:47 p	6,292	Cluster Functions and Utilities 04.txt
09/26/02 04:47 p	37,345	Cluster Functions and Utilities 05.txt
09/26/02 04:47 p	96,535	Cluster Functions and Utilities 06.txt
09/26/02 04:47 p	1,090,292	gb_only_peptides_II.fasta
09/26/02 04:47 p	8,447	Cluster Functions and Utilities 07.txt
09/26/02 04:47 p	17,087	Cluster Functions and Utilities 08.txt
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09/26/02 04:47 p	14,734,163	protein_group_matrix.002
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File Create Date	File Size	File Name	CD#10
09/26/02 08:09 p	3,194,774	2750-1251 Reference Table 1-287.txt
09/26/02 08:09 p	3,610,169	2750-1251 Reference Table 1-288.txt
09/26/02 08:09 p	2,637,092	2750-1251 Reference Table 1-289.txt
09/26/02 08:09 p	2,606,136	2750-1251 Reference Table 1-290.txt
09/26/02 08:09 p	2,998,153	2750-1251 Reference Table 1-291.txt
09/26/02 08:09 p	2,538,058	2750-1251 Reference Table 1-292.txt
09/26/02 08:09 p	2,672,187	2750-1251 Reference Table 1-293.txt
09/26/02 08:09 p	3,372,656	2750-1251 Reference Table 1-294.txt
09/26/02 08:09 p	3,167,370	2750-1251 Reference Table 1-295.txt
09/26/02 08:09 p	216,379	2750-1251 Reference Table 1-296.txt
09/26/02 08:09 p	208,179	2750-1251 Reference Table 1-297.txt
09/26/02 08:09 p	234,316	2750-1251 Reference Table 1-298.txt
09/26/02 08:09 p	250,849	2750-1251 Reference Table 1-299.txt
09/26/02 08:09 p	244,022	2750-1251 Reference Table 1-300.txt
09/26/02 08:09 p	238,332	2750-1251 Reference Table 1-301.txt
09/26/02 08:09 p	228,072	2750-1251 Reference Table 1-302.txt
09/26/02 08:09 p	205,197	2750-1251 Reference Table 1-303.txt
09/26/02 08:09 p	235,546	2750-1251 Reference Table 1-304.txt
09/26/02 08:09 p	227,302	2750-1251 Reference Table 1-305.txt
09/26/02 08:09 p	238,797	2750-1251 Reference Table 1-306.txt
09/26/02 08:09 p	209,881	2750-1251 Reference Table 1-307.txt
09/26/02 08:09 p	228,869	2750-1251 Reference Table 1-308.txt
09/26/02 08:09 p	181,324	2750-1251 Reference Table 1-309.txt
09/26/02 08:09 p	213,900	2750-1251 Reference Table 1-310.txt
09/26/02 08:09 p	193,674	2750-1251 Reference Table 1-311.txt
09/26/02 08:09 p	226,186	2750-1251 Reference Table 1-312.txt
09/26/02 08:09 p	267,411	2750-1251 Reference Table 1-313.txt
09/26/02 08:09 p	172,199	2750-1251 Reference Table 1-314.txt
09/26/02 08:09 p	248,401	2750-1251 Reference Table 1-315.txt
09/26/02 08:09 p	221,959	2750-1251 Reference Table 1-316.txt
09/26/02 08:09 p	161,812	2750-1251 Reference Table 1-317.txt
09/26/02 08:09 p	186,817	2750-1251 Reference Table 1-318.txt
09/26/02 08:09 p	205,361	2750-1251 Reference Table 1-319.txt
09/26/02 08:09 p	199,344	2750-1251 Reference Table 1-320.txt
09/26/02 08:09 p	182,946	2750-1251 Reference Table 1-321.txt
09/26/02 08:09 p	233,388	2750-1251 Reference Table 1-322.txt
09/26/02 08:09 p	153,619	2750-1251 Reference Table 1-323.txt
09/26/02 08:09 p	181,447	2750-1251 Reference Table 1-324.txt
09/26/02 08:09 p	204,625	2750-1251 Reference Table 1-325.txt
09/26/02 08:09 p	211,076	2750-1251 Reference Table 1-326.txt
09/26/02 08:09 p	207,879	2750-1251 Reference Table 1-327.txt
09/26/02 08:09 p	210,688	2750-1251 Reference Table 1-328.txt
09/26/02 08:09 p	216,815	2750-1251 Reference Table 1-329.txt
09/26/02 08:09 p	219,186	2750-1251 Reference Table 1-330.txt
09/26/02 08:09 p	295,210	2750-1251 Reference Table 1-331.txt
09/26/02 08:09 p	277,806	2750-1251 Reference Table 1-332.txt
09/26/02 08:09 p	205,559	2750-1251 Reference Table 1-333.txt
09/26/02 08:09 p	294,216	2750-1251 Reference Table 1-334.txt
09/26/02 08:09 p	279,922	2750-1251 Reference Table 1-335.txt
09/26/02 08:09 p	297,442	2750-1251 Reference Table 1-336.txt
09/26/02 08:09 p	240,639	2750-1251 Reference Table 1-337.txt
09/26/02 08:09 p	3,218,234	2750-1251 Reference Table 1-338.txt
09/26/02 08:09 p	3,228,645	2750-1251 Reference Table 1-339.txt
09/26/02 08:09 p	3,457,565	2750-1251 Reference Table 1-340.txt
09/26/02 08:09 p	3,559,935	2750-1251 Reference Table 1-341.txt
09/26/02 08:09 p	3,677,604	2750-1251 Reference Table 1-342.txt
09/26/02 08:09 p	3,313,986	2750-1251 Reference Table 1-343.txt
09/26/02 08:09 p	3,921,955	2750-1251 Reference Table 1-344.txt
09/26/02 08:09 p	3,510,701	2750-1251 Reference Table 1-345.txt
09/26/02 08:09 p	2,610,192	2750-1251 Reference Table 1-346.txt
09/26/02 08:09 p	4,848,573	2750-1251 Reference Table 1-347.txt
09/26/02 08:09 p	3,713,403	2750-1251 Reference Table 1-348.txt
09/26/02 08:09 p	3,034,616	2750-1251 Reference Table 1-349.txt
09/26/02 08:09 p	4,329,286	2750-1251 Reference Table 1-350.txt
09/26/02 08:09 p	4,417,020	2750-1251 Reference Table 1-351.txt
09/26/02 08:09 p	3,977,476	2750-1251 Reference Table 1-352.txt
09/26/02 08:09 p	4,362,329	2750-1251 Reference Table 1-353.txt
09/26/02 08:09 p	4,289,050	2750-1251 Reference Table 1-354.txt
09/26/02 08:09 p	3,177,265	2750-1251 Reference Table 1-355.txt
09/26/02 08:09 p	4,056,791	2750-1251 Reference Table 1-356.txt
09/26/02 08:09 p	3,915,567	2750-1251 Reference Table 1-357.txt
09/26/02 08:09 p	3,093,974	2750-1251 Reference Table 1-358.txt
09/26/02 08:09 p	3,713,815	2750-1251 Reference Table 1-359.txt
09/26/02 08:09 p	3,342,786	2750-1251 Reference Table 1-360.txt
09/26/02 08:09 p	3,210,495	2750-1251 Reference Table 1-361.txt
09/26/02 08:09 p	2,908,038	2750-1251 Reference Table 1-362.txt
09/26/02 08:09 p	3,613,291	2750-1251 Reference Table 1-363.txt
09/26/02 08:09 p	2,786,967	2750-1251 Reference Table 1-364.txt
09/26/02 08:09 p	3,046,660	2750-1251 Reference Table 1-365.txt
09/26/02 08:09 p	3,232,541	2750-1251 Reference Table 1-366.txt
09/26/02 08:09 p	2,012,578	2750-1251 Reference Table 1-367.txt
09/26/02 08:09 p	1,898,394	2750-1251 Reference Table 1-368.txt
09/26/02 08:09 p	1,777,406	2750-1251 Reference Table 1-369.txt
09/26/02 08:09 p	1,514,572	2750-1251 Reference Table 1-370.txt
09/26/02 08:09 p	3,027,319	2750-1251 Reference Table 1-371.txt
09/26/02 08:09 p	3,061,923	2750-1251 Reference Table 1-372.txt
09/26/02 08:09 p	3,250,110	2750-1251 Reference Table 1-373.txt
09/26/02 08:09 p	2,972,358	2750-1251 Reference Table 1-374.txt
09/26/02 08:09 p	2,774,127	2750-1251 Reference Table 1-375.txt
09/26/02 08:09 p	3,200,706	2750-1251 Reference Table 1-376.txt
09/26/02 08:09 p	3,388,713	2750-1251 Reference Table 1-377.txt
09/26/02 08:09 p	2,608,705	2750-1251 Reference Table 1-378.txt
09/26/02 08:09 p	3,372,747	2750-1251 Reference Table 1-379.txt
09/26/02 08:09 p	236,700	2750-1251 Reference Table 1-380.txt
09/26/02 08:09 p	232,688	2750-1251 Reference Table 1-381.txt
09/26/02 08:09 p	229,889	2750-1251 Reference Table 1-382.txt
09/26/02 08:09 p	246,097	2750-1251 Reference Table 1-383.txt
09/26/02 08:09 p	271,621	2750-1251 Reference Table 1-384.txt
09/26/02 08:09 p	226,445	2750-1251 Reference Table 1-385.txt
09/26/02 08:09 p	227,632	2750-1251 Reference Table 1-386.txt
09/26/02 08:09 p	272,621	2750-1251 Reference Table 1-387.txt
09/26/02 08:09 p	223,814	2750-1251 Reference Table 1-388.txt
09/26/02 08:09 p	201,897	2750-1251 Reference Table 1-389.txt
09/26/02 08:09 p	300,094	2750-1251 Reference Table 1-390.txt
09/26/02 08:09 p	252,819	2750-1251 Reference Table 1-391.txt
09/26/02 08:09 p	214,587	2750-1251 Reference Table 1-392.txt
09/26/02 08:09 p	265,622	2750-1251 Reference Table 1-393.txt
09/26/02 08:09 p	243,580	2750-1251 Reference Table 1-394.txt
09/26/02 08:09 p	266,635	2750-1251 Reference Table 1-395.txt
09/26/02 08:09 p	289,793	2750-1251 Reference Table 1-396.txt
09/26/02 08:09 p	289,417	2750-1251 Reference Table 1-397.txt
09/26/02 08:09 p	264,755	2750-1251 Reference Table 1-398.txt
09/26/02 08:09 p	278,869	2750-1251 Reference Table 1-399.txt
09/26/02 08:09 p	295,602	2750-1251 Reference Table 1-400.txt
09/26/02 08:09 p	162,033	2750-1251 Reference Table 1-401.txt
09/26/02 08:09 p	184,978	2750-1251 Reference Table 1-402.txt
09/26/02 08:09 p	195,660	2750-1251 Reference Table 1-403.txt
09/26/02 08:09 p	228,798	2750-1251 Reference Table 1-404.txt
09/26/02 08:09 p	225,795	2750-1251 Reference Table 1-405.txt
09/26/02 08:09 p	308,647	2750-1251 Reference Table 1-406.txt
09/26/02 08:09 p	305,230	2750-1251 Reference Table 1-407.txt
09/26/02 08:09 p	330,275	2750-1251 Reference Table 1-408.txt
09/26/02 08:09 p	379,558	2750-1251 Reference Table 1-409.txt
09/26/02 08:09 p	389,488	2750-1251 Reference Table 1-410.txt
09/26/02 08:09 p	369,267	2750-1251 Reference Table 1-411.txt
09/26/02 08:10 p	309,224	2750-1251 Reference Table 1-412.txt
09/26/02 08:10 p	354,209	2750-1251 Reference Table 1-413.txt
09/26/02 08:10 p	379,098	2750-1251 Reference Table 1-414.txt
09/26/02 08:10 p	286,274	2750-1251 Reference Table 1-415.txt
09/26/02 08:10 p	269,818	2750-1251 Reference Table 1-416.txt
09/26/02 08:10 p	294,831	2750-1251 Reference Table 1-417.txt
09/26/02 08:10 p	321,437	2750-1251 Reference Table 1-418.txt
09/26/02 08:10 p	321,961	2750-1251 Reference Table 1-419.txt
09/26/02 08:10 p	369,688	2750-1251 Reference Table 1-420.txt
09/26/02 08:10 p	424,679	2750-1251 Reference Table 1-421.txt
09/26/02 08:10 p	427,758	2750-1251 Reference Table 1-422.txt
09/26/02 08:10 p	407,943	2750-1251 Reference Table 1-423.txt
09/26/02 08:10 p	410,954	2750-1251 Reference Table 1-424.txt
09/26/02 08:10 p	60,741	2750-1251 Reference Table 1-425.txt
09/26/02 08:10 p	3,667,254	2750-1251 Reference Table 1-426.txt
09/26/02 08:10 p	2,845,368	2750-1251 Reference Table 1-427.txt
09/26/02 08:10 p	3,119,015	2750-1251 Reference Table 1-428.txt
09/26/02 08:10 p	3,464,214	2750-1251 Reference Table 1-429.txt
09/26/02 08:10 p	2,802,609	2750-1251 Reference Table 1-430.txt
09/26/02 08:10 p	3,056,250	2750-1251 Reference Table 1-431.txt
09/26/02 08:10 p	2,687,652	2750-1251 Reference Table 1-432.txt
09/26/02 08:10 p	2,369,602	2750-1251 Reference Table 1-433.txt
09/26/02 08:10 p	2,718,396	2750-1251 Reference Table 1-434.txt
09/26/02 08:10 p	2,836,056	2750-1251 Reference Table 1-435.txt
09/26/02 08:10 p	2,612,114	2750-1251 Reference Table 1-436.txt
09/26/02 08:10 p	2,532,079	2750-1251 Reference Table 1-437.txt
09/26/02 08:10 p	4,338,459	2750-1251 Reference Table 1-438.txt
09/26/02 08:10 p	3,881,960	2750-1251 Reference Table 1-439.txt
09/26/02 08:10 p	3,620,683	2750-1251 Reference Table 1-440.txt
09/26/02 08:10 p	3,412,464	2750-1251 Reference Table 1-441.txt
09/26/02 08:10 p	3,479,885	2750-1251 Reference Table 1-442.txt
09/26/02 08:10 p	2,475,543	2750-1251 Reference Table 1-443.txt
09/26/02 08:10 p	2,248,600	2750-1251 Reference Table 1-444.txt
09/26/02 08:10 p	2,437,877	2750-1251 Reference Table 1-445.txt
09/26/02 08:10 p	1,699,180	2750-1251 Reference Table 1-446.txt
09/26/02 08:10 p	1,608,941	2750-1251 Reference Table 1-447.txt
09/26/02 08:10 p	1,826,664	2750-1251 Reference Table 1-448.txt
09/26/02 08:10 p	2,802,708	2750-1251 Reference Table 1-449.txt
09/26/02 08:10 p	1,998,576	2750-1251 Reference Table 1-450.txt
09/26/02 08:10 p	1,817,492	2750-1251 Reference Table 1-451.txt
09/26/02 08:10 p	2,809,047	2750-1251 Reference Table 1-452.txt
09/26/02 08:10 p	2,757,103	2750-1251 Reference Table 1-453.txt
09/26/02 08:10 p	2,299,691	2750-1251 Reference Table 1-454.txt
09/26/02 08:10 p	1,833,347	2750-1251 Reference Table 1-455.txt
09/26/02 08:10 p	1,969,345	2750-1251 Reference Table 1-456.txt
09/26/02 08:10 p	1,637,888	2750-1251 Reference Table 1-457.txt
09/26/02 08:10 p	1,089,035	2750-1251 Reference Table 1-458.txt
09/26/02 08:10 p	993,499	2750-1251 Reference Table 1-459.txt
09/26/02 08:10 p	1,203,457	2750-1251 Reference Table 1-460.txt
09/26/02 08:10 p	1,211,627	2750-1251 Reference Table 1-461.txt
09/26/02 08:10 p	200,454	2750-1251 Reference Table 1-462.txt

File Create Date	File Size	File Name	CD#11
09/26/02 08:10 p	1,366,938	2750-1251P Sequence Table 2-01.txt
09/26/02 08:10 p	1,856,074	2750-1251P Sequence Table 2-02.txt
09/26/02 08:10 p	1,657,360	2750-1251P Sequence Table 2-03.txt
09/26/02 08:10 p	1,698,147	2750-1251P Sequence Table 2-04.txt
09/26/02 08:10 p	4,162,790	2750-1251P Sequence Table 2-05.txt
09/26/02 08:10 p	4,614,923	2750-1251P Sequence Table 2-06.txt
09/26/02 08:10 p	3,792,793	2750-1251P Sequence Table 2-07.txt
09/26/02 08:10 p	273	desktop.ini
09/26/02 08:10 p	3,874,904	2750-1251P Sequence Table 2-08.txt
09/26/02 08:10 p	4,925,916	2750-1251P Sequence Table 2-09.txt
09/26/02 08:10 p	1,660,538	2750-1251P Sequence Table 2-10.txt
09/26/02 08:10 p	1,504,564	2750-1251P Sequence Table 2-11.txt
09/26/02 08:10 p	1,701,082	2750-1251P Sequence Table 2-12.txt
09/26/02 08:10 p	1,765,355	2750-1251P Sequence Table 2-13.txt
09/26/02 08:10 p	1,930,595	2750-1251P Sequence Table 2-14.txt
09/26/02 08:10 p	1,752,872	2750-1251P Sequence Table 2-15.txt
09/26/02 08:10 p	1,950,729	2750-1251P Sequence Table 2-16.txt
09/26/02 08:10 p	1,715,656	2750-1251P Sequence Table 2-17.txt
09/26/02 08:10 p	1,807,680	2750-1251P Sequence Table 2-18.txt
09/26/02 08:10 p	1,841,424	2750-1251P Sequence Table 2-19.txt
09/26/02 08:10 p	1,793,563	2750-1251P Sequence Table 2-20.txt
09/26/02 08:10 p	1,489,266	2750-1251P Sequence Table 2-21.txt
09/26/02 08:10 p	1,639,834	2750-1251P Sequence Table 2-22.txt
09/26/02 08:10 p	1,823,227	2750-1251P Sequence Table 2-23.txt
09/26/02 08:10 p	1,675,137	2750-1251P Sequence Table 2-24.txt
09/26/02 08:10 p	1,714,599	2750-1251P Sequence Table 2-25.txt
09/26/02 08:10 p	1,656,327	2750-1251P Sequence Table 2-26.txt
09/26/02 08:10 p	1,554,473	2750-1251P Sequence Table 2-27.txt
09/26/02 08:10 p	1,784,745	2750-1251P Sequence Table 2-28.txt
09/26/02 08:10 p	2,043,076	2750-1251P Sequence Table 2-29.txt
09/26/02 08:10 p	1,768,767	2750-1251P Sequence Table 2-30.txt
09/26/02 08:10 p	1,920,121	2750-1251P Sequence Table 2-31.txt
09/26/02 08:10 p	1,578,209	2750-1251P Sequence Table 2-32.txt
09/26/02 08:10 p	1,569,804	2750-1251P Sequence Table 2-33.txt
09/26/02 08:10 p	1,426,124	2750-1251P Sequence Table 2-34.txt
09/26/02 08:10 p	1,569,021	2750-1251P Sequence Table 2-35.txt
09/26/02 08:10 p	1,821,161	2750-1251P Sequence Table 2-36.txt
09/26/02 08:10 p	1,743,922	2750-1251P Sequence Table 2-37.txt
09/26/02 08:10 p	1,695,535	2750-1251P Sequence Table 2-38.txt
09/26/02 08:10 p	1,341,765	2750-1251P Sequence Table 2-39.txt
09/26/02 08:10 p	1,270,364	2750-1251P Sequence Table 2-40.txt
09/26/02 08:10 p	1,161,441	2750-1251P Sequence Table 2-41.txt
09/26/02 08:10 p	1,603,216	2750-1251P Sequence Table 2-42.txt
09/26/02 08:10 p	1,488,188	2750-1251P Sequence Table 2-43.txt
09/26/02 08:10 p	1,424,341	2750-1251P Sequence Table 2-44.txt
09/26/02 08:10 p	1,779,755	2750-1251P Sequence Table 2-45.txt
09/26/02 08:10 p	1,087,367	2750-1251P Sequence Table 2-46.txt
09/26/02 08:10 p	5,286,926	2750-1251P Sequence Table 2-47.txt
09/26/02 08:10 p	6,291,073	2750-1251P Sequence Table 2-48.txt
09/26/02 08:10 p	4,279,766	2750-1251P Sequence Table 2-49.txt
09/26/02 08:10 p	3,898,560	2750-1251P Sequence Table 2-50.txt
09/26/02 08:10 p	4,077,083	2750-1251P Sequence Table 2-51.txt
09/26/02 08:10 p	3,270,105	2750-1251P Sequence Table 2-52.txt
09/26/02 08:10 p	5,470,650	2750-1251P Sequence Table 2-53.txt
09/26/02 08:10 p	6,320,733	2750-1251P Sequence Table 2-54.txt
09/26/02 08:10 p	5,410,260	2750-1251P Sequence Table 2-55.txt
09/26/02 08:10 p	2,244,531	2750-1251P Sequence Table 2-56.txt
09/26/02 08:10 p	2,182,682	2750-1251P Sequence Table 2-57.txt
09/26/02 08:10 p	3,894,074	2750-1251P Sequence Table 2-58.txt
09/26/02 08:10 p	3,854,986	2750-1251P Sequence Table 2-59.txt
09/26/02 08:10 p	4,900,131	2750-1251P Sequence Table 2-60.txt
09/26/02 08:10 p	2,883,354	2750-1251P Sequence Table 2-61.txt
09/26/02 08:10 p	3,359,337	2750-1251P Sequence Table 2-62.txt
09/26/02 08:10 p	6,132,706	2750-1251P Sequence Table 2-63.txt
09/26/02 08:10 p	5,536,064	2750-1251P Sequence Table 2-64.txt
09/26/02 08:10 p	5,021,467	2750-1251P Sequence Table 2-65.txt
09/26/02 08:10 p	2,779,104	2750-1251P Sequence Table 2-66.txt
09/26/02 08:10 p	2,277,254	2750-1251P Sequence Table 2-67.txt
09/26/02 08:10 p	2,428,011	2750-1251P Sequence Table 2-68.txt
09/26/02 08:10 p	2,555,544	2750-1251P Sequence Table 2-69.txt
09/26/02 08:10 p	2,403,691	2750-1251P Sequence Table 2-70.txt
09/26/02 08:10 p	2,623,087	2750-1251P Sequence Table 2-71.txt
09/26/02 08:10 p	1,917,948	2750-1251P Sequence Table 2-72.txt
09/26/02 08:10 p	1,485,239	2750-1251P Sequence Table 2-73.txt
09/26/02 08:10 p	855,857	2750-1251P Sequence Table 2-74.txt
09/26/02 08:10 p	5,711,238	2750-1251P Sequence Table 2-75.txt
09/26/02 08:10 p	5,673,560	2750-1251P Sequence Table 2-76.txt
09/26/02 08:10 p	6,917,903	2750-1251P Sequence Table 2-77.txt
09/26/02 08:10 p	6,422,494	2750-1251P Sequence Table 2-78.txt
09/26/02 08:10 p	6,687,789	2750-1251P Sequence Table 2-79.txt
09/26/02 08:10 p	6,049,957	2750-1251P Sequence Table 2-80.txt
09/26/02 08:10 p	6,765,446	2750-1251P Sequence Table 2-81.txt
09/26/02 08:10 p	273	desktop.ini
09/26/02 08:10 p	6,651,228	2750-1251P Sequence Table 2-82.txt
09/26/02 08:10 p	1,306,973	2750-1251P Sequence Table 2-83.txt
09/26/02 08:10 p	1,616,973	2750-1251P Sequence Table 2-84.txt
09/26/02 08:10 p	1,966,670	2750-1251P Sequence Table 2-85.txt
09/26/02 08:10 p	2,007,901	2750-1251P Sequence Table 2-86.txt
09/26/02 08:10 p	1,749,945	2750-1251P Sequence Table 2-87.txt
09/26/02 08:10 p	1,875,661	2750-1251P Sequence Table 2-88.txt
09/26/02 08:10 p	2,021,866	2750-1251P Sequence Table 2-89.txt
09/26/02 08:10 p	1,838,953	2750-1251P Sequence Table 2-90.txt
09/26/02 08:10 p	1,801,647	2750-1251P Sequence Table 2-91.txt
09/26/02 08:10 p	281,163	2750-1251P Sequence Table 2-92.txt
09/26/02 08:10 p	2,329,674	2750-1251P Sequence Table 2-100.txt
09/26/02 08:10 p	2,423,202	2750-1251P Sequence Table 2-101.txt
09/26/02 08:10 p	897,746	2750-1251P Sequence Table 2-102.txt
09/26/02 08:10 p	924,573	2750-1251P Sequence Table 2-103.txt
09/26/02 08:10 p	915,997	2750-1251P Sequence Table 2-104.txt
09/26/02 08:10 p	1,019,999	2750-1251P Sequence Table 2-105.txt
09/26/02 08:10 p	966,566	2750-1251P Sequence Table 2-106.txt
09/26/02 08:11 p	273	desktop.ini
09/26/02 08:10 p	759,726	2750-1251P Sequence Table 2-107.txt
09/26/02 08:10 p	607,711	2750-1251P Sequence Table 2-108.txt
09/26/02 08:10 p	966,009	2750-1251P Sequence Table 2-109.txt
09/26/02 08:10 p	785,714	2750-1251P Sequence Table 2-110.txt
09/26/02 08:10 p	995,227	2750-1251P Sequence Table 2-111.txt
09/26/02 08:10 p	1,019,275	2750-1251P Sequence Table 2-112.txt
09/26/02 08:10 p	972,013	2750-1251P Sequence Table 2-113.txt
09/26/02 08:10 p	974,367	2750-1251P Sequence Table 2-114.txt
09/26/02 08:10 p	978,475	2750-1251P Sequence Table 2-115.txt
09/26/02 08:10 p	1,105,834	2750-1251P Sequence Table 2-116.txt
09/26/02 08:10 p	1,042,354	2750-1251P Sequence Table 2-117.txt
09/26/02 08:10 p	1,384,018	2750-1251P Sequence Table 2-118.txt
09/26/02 08:10 p	1,563,393	2750-1251P Sequence Table 2-119.txt
09/26/02 08:10 p	1,265,960	2750-1251P Sequence Table 2-120.txt
09/26/02 08:10 p	1,088,907	2750-1251P Sequence Table 2-121.txt
09/26/02 08:10 p	955,411	2750-1251P Sequence Table 2-122.txt
09/26/02 08:10 p	1,012,863	2750-1251P Sequence Table 2-123.txt
09/26/02 08:10 p	332,900	2750-1251P Sequence Table 2-124.txt
09/26/02 08:10 p	2,245,436	2750-1251P Sequence Table 2-125.txt
09/26/02 08:10 p	2,062,700	2750-1251P Sequence Table 2-126.txt
09/26/02 08:10 p	2,200,806	2750-1251P Sequence Table 2-127.txt
09/26/02 08:10 p	2,198,487	2750-1251P Sequence Table 2-128.txt
09/26/02 08:10 p	2,193,488	2750-1251P Sequence Table 2-129.txt
09/26/02 08:10 p	2,236,417	2750-1251P Sequence Table 2-130.txt
09/26/02 08:10 p	2,400,482	2750-1251P Sequence Table 2-131.txt
09/26/02 08:10 p	2,926,305	2750-1251P Sequence Table 2-132.txt
09/26/02 08:10 p	3,218,588	2750-1251P Sequence Table 2-133.txt
09/26/02 08:10 p	2,698,797	2750-1251P Sequence Table 2-134.txt
09/26/02 08:10 p	2,144,586	2750-1251P Sequence Table 2-135.txt
09/26/02 08:10 p	2,291,884	2750-1251P Sequence Table 2-136.txt
09/26/02 08:11 p	2,075,004	2750-1251P Sequence Table 2-137.txt
09/26/02 08:11 p	781,483	2750-1251P Sequence Table 2-138.txt
09/26/02 08:11 p	2,664,765	2750-1251P Sequence Table 2-93.txt
09/26/02 08:11 p	2,567,753	2750-1251P Sequence Table 2-94.txt
09/26/02 08:11 p	2,525,906	2750-1251P Sequence Table 2-95.txt
09/26/02 08:11 p	2,382,901	2750-1251P Sequence Table 2-96.txt
09/26/02 08:11 p	2,395,607	2750-1251P Sequence Table 2-97.txt
09/26/02 08:11 p	2,731,108	2750-1251P Sequence Table 2-98.txt
09/26/02 08:11 p	2,880,212	2750-1251P Sequence Table 2-99.txt
09/26/02 08:11 p	2,557,369	2750-1251P Sequence Table 2-139.txt
09/26/02 08:11 p	2,853,781	2750-1251P Sequence Table 2-140.txt
09/26/02 08:11 p	1,989,875	2750-1251P Sequence Table 2-141.txt
09/26/02 08:11 p	2,106,541	2750-1251P Sequence Table 2-142.txt
09/26/02 08:11 p	2,498,911	2750-1251P Sequence Table 2-143.txt
09/26/02 08:11 p	1,860,537	2750-1251P Sequence Table 2-144.txt
09/26/02 08:11 p	1,870,397	2750-1251P Sequence Table 2-145.txt
09/26/02 08:11 p	266	desktop.ini
09/26/02 08:11 p	2,419,009	2750-1251P Sequence Table 2-146.txt
09/26/02 08:11 p	2,604,542	2750-1251P Sequence Table 2-147.txt
09/26/02 08:11 p	1,207,448	2750-1251P Sequence Table 2-148.txt
09/26/02 08:11 p	1,125,327	2750-1251P Sequence Table 2-149.txt
09/26/02 08:11 p	1,120,749	2750-1251P Sequence Table 2-150.txt
09/26/02 08:11 p	1,278,673	2750-1251P Sequence Table 2-151.txt
09/26/02 08:11 p	1,401,270	2750-1251P Sequence Table 2-152.txt
09/26/02 08:11 p	1,092,356	2750-1251P Sequence Table 2-153.txt
09/26/02 08:11 p	1,039,599	2750-1251P Sequence Table 2-154.txt
09/26/02 08:11 p	1,066,388	2750-1251P Sequence Table 2-155.txt
09/26/02 08:11 p	1,229,335	2750-1251P Sequence Table 2-156.txt
09/26/02 08:11 p	1,139,154	2750-1251P Sequence Table 2-157.txt
09/26/02 08:11 p	1,321,207	2750-1251P Sequence Table 2-158.txt
09/26/02 08:11 p	1,076,482	2750-1251P Sequence Table 2-159.txt
09/26/02 08:11 p	1,302,775	2750-1251P Sequence Table 2-160.txt
09/26/02 08:11 p	894,922	2750-1251P Sequence Table 2-161.txt
09/26/02 08:11 p	1,000,574	2750-1251P Sequence Table 2-162.txt
09/26/02 08:11 p	1,126,555	2750-1251P Sequence Table 2-163.txt
09/26/02 08:11 p	1,176,465	2750-1251P Sequence Table 2-164.txt
09/26/02 08:11 p	1,291,664	2750-1251P Sequence Table 2-165.txt
09/26/02 08:11 p	1,184,768	2750-1251P Sequence Table 2-166.txt
09/26/02 08:11 p	1,699,364	2750-1251P Sequence Table 2-167.txt
09/26/02 08:11 p	1,060,560	2750-1251P Sequence Table 2-168.txt
09/26/02 08:11 p	840,466	2750-1251P Sequence Table 2-169.txt
09/26/02 08:11 p	1,069,548	2750-1251P Sequence Table 2-170.txt
09/26/02 08:11 p	1,333,421	2750-1251P Sequence Table 2-171.txt
09/26/02 08:11 p	1,438,478	2750-1251P Sequence Table 2-172.txt
09/26/02 08:11 p	1,300,836	2750-1251P Sequence Table 2-173.txt
09/26/02 08:11 p	1,397,366	2750-1251P Sequence Table 2-174.txt
09/26/02 08:11 p	767,040	2750-1251P Sequence Table 2-175.txt
09/26/02 08:11 p	789,783	2750-1251P Sequence Table 2-176.txt
09/26/02 08:11 p	912,240	2750-1251P Sequence Table 2-177.txt
09/26/02 08:11 p	1,082,291	2750-1251P Sequence Table 2-178.txt
09/26/02 08:11 p	1,114,602	2750-1251P Sequence Table 2-179.txt
09/26/02 08:11 p	1,114,796	2750-1251P Sequence Table 2-180.txt
09/26/02 08:11 p	968,495	2750-1251P Sequence Table 2-181.txt
09/26/02 08:11 p	1,155,964	2750-1251P Sequence Table 2-182.txt
09/26/02 08:11 p	1,579,837	2750-1251P Sequence Table 2-183.txt
09/26/02 08:11 p	1,487,629	2750-1251P Sequence Table 2-184.txt
09/26/02 08:11 p	978,985	2750-1251P Sequence Table 2-185.txt
09/26/02 08:11 p	1,379,648	2750-1251P Sequence Table 2-186.txt
09/26/02 08:11 p	1,302,947	2750-1251P Sequence Table 2-187.txt
09/26/02 08:11 p	1,386,989	2750-1251P Sequence Table 2-188.txt
09/26/02 08:11 p	1,168,456	2750-1251P Sequence Table 2-189.txt
09/26/02 08:11 p	2,585,638	2750-1251P Sequence Table 2-190.txt
09/26/02 08:11 p	2,589,413	2750-1251P Sequence Table 2-191.txt
09/26/02 08:11 p	2,742,639	2750-1251P Sequence Table 2-192.txt
09/26/02 08:11 p	3,316,079	2750-1251P Sequence Table 2-193.txt
09/26/02 08:11 p	2,721,831	2750-1251P Sequence Table 2-194.txt
09/26/02 08:11 p	2,460,485	2750-1251P Sequence Table 2-195.txt
09/26/02 08:11 p	3,712,199	2750-1251P Sequence Table 2-196.txt
09/26/02 08:11 p	3,062,135	2750-1251P Sequence Table 2-197.txt
09/26/02 08:11 p	2,324,748	2750-1251P Sequence Table 2-198.txt
09/26/02 08:11 p	5,805,417	2750-1251P Sequence Table 2-199.txt
09/26/02 08:11 p	4,484,190	2750-1251P Sequence Table 2-200.txt
09/26/02 08:11 p	2,886,756	2750-1251P Sequence Table 2-201.txt
09/26/02 08:11 p	3,152,805	2750-1251P Sequence Table 2-202.txt
09/26/02 08:11 p	4,113,648	2750-1251P Sequence Table 2-203.txt
09/26/02 08:11 p	4,539,820	2750-1251P Sequence Table 2-204.txt
09/26/02 08:11 p	5,279,187	2750-1251P Sequence Table 2-205.txt
09/26/02 08:11 p	5,282,318	2750-1251P Sequence Table 2-206.txt
09/26/02 08:11 p	3,875,494	2750-1251P Sequence Table 2-207.txt
09/26/02 08:11 p	3,227,215	2750-1251P Sequence Table 2-208.txt
09/26/02 08:11 p	2,542,116	2750-1251P Sequence Table 2-209.txt
09/26/02 08:11 p	2,154,442	2750-1251P Sequence Table 2-210.txt
09/26/02 08:11 p	3,040,311	2750-1251P Sequence Table 2-211.txt
09/26/02 08:11 p	2,843,279	2750-1251P Sequence Table 2-212.txt
09/26/02 08:11 p	2,679,715	2750-1251P Sequence Table 2-213.txt
09/26/02 08:11 p	2,069,892	2750-1251P Sequence Table 2-214.txt
09/26/02 08:11 p	2,774,060	2750-1251P Sequence Table 2-215.txt
09/26/02 08:11 p	2,395,440	2750-1251P Sequence Table 2-216.txt
09/26/02 08:11 p	2,484,149	2750-1251P Sequence Table 2-217.txt
09/26/02 08:11 p	2,314,135	2750-1251P Sequence Table 2-218.txt
09/26/02 08:11 p	1,572,173	2750-1251P Sequence Table 2-219.txt
09/26/02 08:11 p	1,483,612	2750-1251P Sequence Table 2-220.txt
09/26/02 08:11 p	1,341,529	2750-1251P Sequence Table 2-221.txt
09/26/02 08:11 p	1,255,155	2750-1251P Sequence Table 2-222.txt
09/26/02 08:11 p	2,484,999	2750-1251P Sequence Table 2-223.txt
09/26/02 08:11 p	2,545,172	2750-1251P Sequence Table 2-224.txt
09/26/02 08:11 p	2,611,886	2750-1251P Sequence Table 2-225.txt
09/26/02 08:11 p	2,482,720	2750-1251P Sequence Table 2-226.txt
09/26/02 08:11 p	2,295,734	2750-1251P Sequence Table 2-227.txt
09/26/02 08:11 p	2,579,591	2750-1251P Sequence Table 2-228.txt
09/26/02 08:11 p	2,640,839	2750-1251P Sequence Table 2-229.txt
09/26/02 08:11 p	266	desktop.ini
09/26/02 08:11 p	2,301,215	2750-1251P Sequence Table 2-230.txt
09/26/02 08:11 p	3,114,083	2750-1251P Sequence Table 2-231.txt
09/26/02 08:11 p	1,171,364	2750-1251P Sequence Table 2-232.txt
09/26/02 08:11 p	1,156,815	2750-1251P Sequence Table 2-233.txt
09/26/02 08:11 p	1,130,529	2750-1251P Sequence Table 2-234.txt
09/26/02 08:11 p	1,267,508	2750-1251P Sequence Table 2-235.txt
09/26/02 08:11 p	1,367,809	2750-1251P Sequence Table 2-236.txt
09/26/02 08:11 p	1,122,628	2750-1251P Sequence Table 2-237.txt
09/26/02 08:11 p	1,135,394	2750-1251P Sequence Table 2-238.txt
09/26/02 08:11 p	1,371,082	2750-1251P Sequence Table 2-239.txt
09/26/02 08:11 p	1,261,144	2750-1251P Sequence Table 2-240.txt
09/26/02 08:11 p	1,178,241	2750-1251P Sequence Table 2-241.txt
09/26/02 08:11 p	1,739,014	2750-1251P Sequence Table 2-242.txt
09/26/02 08:11 p	1,307,555	2750-1251P Sequence Table 2-243.txt
09/26/02 08:11 p	1,034,671	2750-1251P Sequence Table 2-244.txt
09/26/02 08:11 p	1,459,913	2750-1251P Sequence Table 2-245.txt
09/26/02 08:11 p	1,274,639	2750-1251P Sequence Table 2-246.txt
09/26/02 08:11 p	1,358,712	2750-1251P Sequence Table 2-247.txt
09/26/02 08:11 p	1,446,767	2750-1251P Sequence Table 2-248.txt
09/26/02 08:11 p	1,599,682	2750-1251P Sequence Table 2-249.txt
09/26/02 08:11 p	1,443,866	2750-1251P Sequence Table 2-250.txt
09/26/02 08:11 p	1,431,278	2750-1251P Sequence Table 2-251.txt
09/26/02 08:11 p	1,522,875	2750-1251P Sequence Table 2-252.txt
09/26/02 08:11 p	801,857	2750-1251P Sequence Table 2-253.txt
09/26/02 08:11 p	922,371	2750-1251P Sequence Table 2-254.txt
09/26/02 08:11 p	979,530	2750-1251P Sequence Table 2-255.txt
09/26/02 08:11 p	1,137,713	2750-1251P Sequence Table 2-256.txt
09/26/02 08:11 p	1,139,016	2750-1251P Sequence Table 2-257.txt
09/26/02 08:11 p	1,615,047	2750-1251P Sequence Table 2-258.txt
09/26/02 08:11 p	1,606,539	2750-1251P Sequence Table 2-259.txt
09/26/02 08:11 p	1,857,291	2750-1251P Sequence Table 2-260.txt
09/26/02 08:11 p	2,186,164	2750-1251P Sequence Table 2-261.txt
09/26/02 08:11 p	2,162,287	2750-1251P Sequence Table 2-262.txt
09/26/02 08:11 p	2,074,224	2750-1251P Sequence Table 2-263.txt
09/26/02 08:11 p	1,673,177	2750-1251P Sequence Table 2-264.txt
09/26/02 08:11 p	1,997,716	2750-1251P Sequence Table 2-265.txt
09/26/02 08:11 p	2,038,387	2750-1251P Sequence Table 2-266.txt
09/26/02 08:11 p	1,421,339	2750-1251P Sequence Table 2-267.txt
09/26/02 08:11 p	1,358,029	2750-1251P Sequence Table 2-268.txt
09/26/02 08:11 p	1,510,770	2750-1251P Sequence Table 2-269.txt
09/26/02 08:11 p	1,638,917	2750-1251P Sequence Table 2-270.txt
09/26/02 08:11 p	1,585,428	2750-1251P Sequence Table 2-271.txt
09/26/02 08:11 p	1,804,287	2750-1251P Sequence Table 2-272.txt
09/26/02 08:11 p	2,058,480	2750-1251P Sequence Table 2-273.txt
09/26/02 08:11 p	2,140,569	2750-1251P Sequence Table 2-274.txt
09/26/02 08:11 p	2,006,620	2750-1251P Sequence Table 2-275.txt
09/26/02 08:11 p	2,004,807	2750-1251P Sequence Table 2-276.txt
09/26/02 08:11 p	281,295	2750-1251P Sequence Table 2-277.txt
09/26/02 08:11 p	3,519,408	2750-1251P Sequence Table 2-278.txt
09/26/02 08:11 p	2,892,616	2750-1251P Sequence Table 2-279.txt
09/26/02 08:11 p	2,537,900	2750-1251P Sequence Table 2-280.txt
09/26/02 08:11 p	2,742,562	2750-1251P Sequence Table 2-281.txt
09/26/02 08:11 p	2,674,740	2750-1251P Sequence Table 2-282.txt
09/26/02 08:11 p	2,662,157	2750-1251P Sequence Table 2-283.txt
09/26/02 08:11 p	2,260,140	2750-1251P Sequence Table 2-284.txt
09/26/02 08:11 p	2,053,431	2750-1251P Sequence Table 2-285.txt
09/26/02 08:11 p	2,666,877	2750-1251P Sequence Table 2-286.txt
09/26/02 08:11 p	2,668,943	2750-1251P Sequence Table 2-287.txt
09/26/02 08:11 p	2,179,544	2750-1251P Sequence Table 2-288.txt
09/26/02 08:11 p	2,159,998	2750-1251P Sequence Table 2-289.txt
09/26/02 08:11 p	3,148,049	2750-1251P Sequence Table 2-290.txt
09/26/02 08:11 p	2,910,241	2750-1251P Sequence Table 2-291.txt
09/26/02 08:11 p	2,842,608	2750-1251P Sequence Table 2-292.txt
09/26/02 08:11 p	2,655,523	2750-1251P Sequence Table 2-293.txt
09/26/02 08:11 p	2,779,284	2750-1251P Sequence Table 2-294.txt
09/26/02 08:11 p	2,381,391	2750-1251P Sequence Table 2-295.txt
09/26/02 08:11 p	2,355,845	2750-1251P Sequence Table 2-296.txt
09/26/02 08:11 p	2,355,901	2750-1251P Sequence Table 2-297.txt
09/26/02 08:11 p	1,879,327	2750-1251P Sequence Table 2-298.txt
09/26/02 08:11 p	1,710,956	2750-1251P Sequence Table 2-299.txt
09/26/02 08:11 p	1,878,989	2750-1251P Sequence Table 2-300.txt
09/26/02 08:11 p	2,372,963	2750-1251P Sequence Table 2-301.txt
09/26/02 08:11 p	2,100,984	2750-1251P Sequence Table 2-302.txt
09/26/02 08:11 p	1,689,858	2750-1251P Sequence Table 2-303.txt
09/26/02 08:11 p	2,069,970	2750-1251P Sequence Table 2-304.txt
09/26/02 08:11 p	2,184,675	2750-1251P Sequence Table 2-305.txt
09/26/02 08:11 p	1,902,854	2750-1251P Sequence Table 2-306.txt
09/26/02 08:11 p	1,651,456	2750-1251P Sequence Table 2-307.txt
09/26/02 08:11 p	1,706,938	2750-1251P Sequence Table 2-308.txt
09/26/02 08:11 p	1,378,700	2750-1251P Sequence Table 2-309.txt
09/26/02 08:11 p	1,038,131	2750-1251P Sequence Table 2-310.txt
09/26/02 08:11 p	994,540	2750-1251P Sequence Table 2-311.txt
09/26/02 08:11 p	1,085,850	2750-1251P Sequence Table 2-312.txt
09/26/02 08:11 p	1,057,364	2750-1251P Sequence Table 2-313.txt
09/26/02 08:11 p	195,057	2750-1251P Sequence Table 2-314.txt

File Create Date	File Size	File Name	CD#12
09/26/02 08:12 p	6,498,586	2750-1251P Sequence Table 2-315.txt
09/26/02 08:12 p	10,199,072	2750-1251P Sequence Table 2-316.txt
09/26/02 08:12 p	12,036,630	2750-1251P Sequence Table 2-317.txt
09/26/02 08:12 p	11,752,397	2750-1251P Sequence Table 2-318.txt
09/26/02 08:12 p	11,328,855	2750-1251P Sequence Table 2-319.txt
09/26/02 08:12 p	6,099,008	2750-1251P Sequence Table 2-320.txt
09/26/02 08:12 p	6,341,448	2750-1251P Sequence Table 2-321.txt
09/26/02 08:12 p	7,813,361	2750-1251P Sequence Table 2-322.txt
09/26/02 08:12 p	7,462,370	2750-1251P Sequence Table 2-323.txt
09/26/02 08:12 p	7,320,568	2750-1251P Sequence Table 2-324.txt
09/26/02 08:12 p	7,260,488	2750-1251P Sequence Table 2-325.txt
09/26/02 08:12 p	7,218,559	2750-1251P Sequence Table 2-326.txt
09/26/02 08:12 p	9,879,422	2750-1251P Sequence Table 2-327.txt
09/26/02 08:12 p	11,133,682	2750-1251P Sequence Table 2-328.txt
09/26/02 08:12 p	11,786,619	2750-1251P Sequence Table 2-329.txt
09/26/02 08:12 p	11,165,230	2750-1251P Sequence Table 2-330.txt
09/26/02 08:12 p	8,972,274	2750-1251P Sequence Table 2-331.txt
09/26/02 08:12 p	2,780,653	2750-1251P Sequence Table 2-332.txt
09/26/02 08:12 p	8,615,635	2750-1251P Sequence Table 2-333.txt
09/26/02 08:12 p	8,523,103	2750-1251P Sequence Table 2-334.txt
09/26/02 08:12 p	9,422,642	2750-1251P Sequence Table 2-335.txt
09/26/02 08:12 p	9,389,088	2750-1251P Sequence Table 2-336.txt
09/26/02 08:12 p	9,612,247	2750-1251P Sequence Table 2-337.txt
09/26/02 08:12 p	9,885,866	2750-1251P Sequence Table 2-338.txt
09/26/02 08:12 p	7,757,608	2750-1251P Sequence Table 2-339.txt
09/26/02 08:12 p	10,006,125	2750-1251P Sequence Table 2-340.txt
09/26/02 08:12 p	2,238,454	2750-1251P Sequence Table 2-341.txt
09/26/02 08:12 p	2,341,096	2750-1251P Sequence Table 2-342.txt
09/26/02 08:12 p	4,662,049	2750-1251P Sequence Table 2-343.txt
09/26/02 08:12 p	7,548,211	2750-1251P Sequence Table 2-344.txt
09/26/02 08:12 p	8,492,475	2750-1251P Sequence Table 2-345.txt
09/26/02 08:12 p	8,606,480	2750-1251P Sequence Table 2-346.txt
09/26/02 08:12 p	8,529,685	2750-1251P Sequence Table 2-347.txt
09/26/02 08:12 p	9,307,111	2750-1251P Sequence Table 2-348.txt
09/26/02 08:12 p	9,475,512	2750-1251P Sequence Table 2-349.txt
09/26/02 08:12 p	10,925,483	2750-1251P Sequence Table 2-350.txt
09/26/02 08:12 p	9,549,730	2750-1251P Sequence Table 2-351.txt
09/26/02 08:13 p	9,420,696	2750-1251P Sequence Table 2-352.txt
09/26/02 08:13 p	9,796,536	2750-1251P Sequence Table 2-353.txt
09/26/02 08:13 p	9,446,273	2750-1251P Sequence Table 2-354.txt
09/26/02 08:13 p	9,676,816	2750-1251P Sequence Table 2-355.txt
09/26/02 08:13 p	11,072,001	2750-1251P Sequence Table 2-356.txt
09/26/02 08:13 p	9,579,990	2750-1251P Sequence Table 2-357.txt
09/26/02 08:13 p	8,310,594	2750-1251P Sequence Table 2-358.txt
09/26/02 08:13 p	11,611,950	2750-1251P Sequence Table 2-359.txt
09/26/02 08:13 p	9,124,788	2750-1251P Sequence Table 2-360.txt
09/26/02 08:13 p	10,561,261	2750-1251P Sequence Table 2-361.txt
09/26/02 08:13 p	7,867,957	2750-1251P Sequence Table 2-362.txt
09/26/02 08:13 p	6,719,514	2750-1251P Sequence Table 2-363.txt
09/26/02 08:13 p	8,289,686	2750-1251P Sequence Table 2-364.txt
09/26/02 08:13 p	5,982,487	2750-1251P Sequence Table 2-365.txt
09/26/02 08:13 p	11,770,382	2750-1251P Sequence Table 2-366.txt
09/26/02 08:13 p	11,500,131	2750-1251P Sequence Table 2-367.txt
09/26/02 08:13 p	11,697,796	2750-1251P Sequence Table 2-368.txt
09/26/02 08:13 p	12,537,239	2750-1251P Sequence Table 2-369.txt
09/26/02 08:13 p	12,060,873	2750-1251P Sequence Table 2-370.txt
09/26/02 08:13 p	11,377,116	2750-1251P Sequence Table 2-371.txt
09/26/02 08:13 p	12,409,974	2750-1251P Sequence Table 2-372.txt
09/26/02 08:13 p	11,590,344	2750-1251P Sequence Table 2-373.txt
09/26/02 08:13 p	12,793,977	2750-1251P Sequence Table 2-374.txt
09/26/02 08:13 p	11,148,530	2750-1251P Sequence Table 2-375.txt
09/26/02 08:13 p	11,844,914	2750-1251P Sequence Table 2-376.txt
09/26/02 08:13 p	11,297,588	2750-1251P Sequence Table 2-377.txt
09/26/02 08:13 p	10,940,286	2750-1251P Sequence Table 2-378.txt
09/26/02 08:13 p	11,538,574	2750-1251P Sequence Table 2-379.txt
09/26/02 08:13 p	12,086,002	2750-1251P Sequence Table 2-380.txt
09/26/02 08:13 p	12,893,746	2750-1251P Sequence Table 2-381.txt
09/26/02 08:14 p	11,115,866	2750-1251P Sequence Table 2-382.txt
09/26/02 08:14 p	12,062,481	2750-1251P Sequence Table 2-383.txt
09/26/02 08:14 p	10,134,157	2750-1251P Sequence Table 2-384.txt
09/26/02 08:14 p	8,527,358	2750-1251P Sequence Table 2-385.txt
09/26/02 08:14 p	8,310,745	2750-1251P Sequence Table 2-386.txt
09/26/02 08:14 p	7,479,110	2750-1251P Sequence Table 2-387.txt
09/26/02 08:14 p	3,429,936	2750-1251P Sequence Table 2-388.txt
09/26/02 08:12 p	7,320,568	sequences.3769.710-0004-55300-US-U-31610.01_10

File Create Date	File Size	File Name	CD#13
08/21/01 02:28 p	392,675	80090-004 knock_in.txt
08/14/01 06:12 p	831,736	80090-004 knock_out
08/20/01 10:56 a	16,635,460	80090-004 ma_clusters
08/21/01 02:54 p	4,318,956	80090-004 ma_diff
08/10/01 02:06 p	2,752,459	80090-004_Protein Domain Table.txt
07/25/01 06:17 p	30,304,496	80090-004_Reference Table 1.txt
07/25/01 05:56 p	1,679,252	80090-004_Reference Table 2.txt
07/25/01 06:00 p	144,192,839	80090-004_Sequence Table 1.txt
08/17/01 03:48 p	4,052,876	cdna_clusters.txt
07/25/01 06:06 p	12,085,942	80090-004_Sequence Table 2.txt
08/22/01 04:03 p	35,153	Cluster Functions and Utilities (01).txt
08/22/01 04:04 p	40,447	Cluster Functions and Utilities (02).txt
08/22/01 04:04 p	4,473	Cluster Functions and Utilities (03).txt
08/22/01 04:05 p	7,820	Cluster Functions and Utilities (04).txt
08/22/01 04:05 p	24,047	Cluster Functions and Utilities (05).txt
08/22/01 04:06 p	18,490	Cluster Functions and Utilities (06).txt
08/22/01 02:14 p	331,616	enhanced_amino.txt
08/22/01 04:11 p	36,273	Cluster functions and utilities (07).txt
08/22/01 03:17 p	33,962	Cluster Functions and Utilities (08).txt
08/22/01 03:16 p	23,000	Cluster functions and utilities (09).txt
08/21/01 08:47 p	2,691	Cluster functions and utilities (10).txt
08/21/01 08:47 p	2,290	Cluster functions and utilities (11).txt
08/24/01 02:54 p	12,684	Cluster Functions and Utilities 01.txt
08/24/01 02:56 p	91,002	Cluster Functions and Utilities 02.txt
02/25/02 02:36 p	10,512,576	group0.txt
08/24/01 02:57 p	6,256	Cluster Functions and Utilities 03.txt
08/24/01 02:58 p	6,292	Cluster Functions and Utilities 04.txt
08/24/01 02:58 p	37,345	Cluster Functions and Utilities 05.txt
08/24/01 03:02 p	96,535	Cluster Functions and Utilities 06.txt
08/24/01 03:44 p	8,447	Cluster Functions and Utilities 07.txt
08/24/01 04:04 p	17,087	Cluster Functions and Utilities 08.txt
08/22/01 04:24 p	23,740	Cluster Functions and Utilities (12).txt
08/21/01 07:46 a	296,887	docket_80090_101_cdna_map.txt
08/24/01 02:10 p	1,232	docket_80090_101_cdna_map_II_delta
02/25/02 02:38 p	10,493,605	group1.txt
02/25/02 02:41 p	10,489,244	group2.txt
02/25/02 02:44 p	10,687,170	group3.txt
02/25/02 02:47 p	10,732,414	group4.txt
02/25/02 02:49 p	10,727,807	group5.txt
02/25/02 02:52 p	10,616,591	group6.txt
02/25/02 02:53 p	6,065,227	group7.txt
08/24/01 05:13 p	6,947	Knock-in_02.txt
08/24/01 05:14 p	11,374	KNOCK-IN_01.txt
08/24/01 03:12 p	1,645,031	knock_out
08/21/01 01:09 p	55,307	ma_diff Aluminum.txt
02/28/02 04:04 p	3,733,718	titles
08/21/01 01:10 p	27,557	ma_diff Axel.txt
08/21/01 01:13 p	41,505	ma_diff Cadium .txt
08/21/01 01:51 p	53,938	ma_diff Cauliflower .txt
08/21/01 01:50 p	98,775	ma_diff Chloroplast.txt
08/21/01 01:50 p	160,542	ma_diff Circadian 1-02.txt
08/21/01 01:50 p	127,498	ma_diff Circadian 1-03.txt
08/21/01 01:51 p	166,158	ma_diff Circadian 1-04.txt
08/21/01 01:50 p	141,971	ma_diff Circadian 1-01.txt
08/21/01 01:52 p	56,536	ma_diff Circadian 1-05.txt
08/21/01 01:52 p	121,178	ma_diff Circadian 1-06.txt
08/21/01 01:52 p	133,389	ma_diff Circadian 1-07.txt
08/21/01 01:52 p	259,096	ma_diff Circadian 1-08.txt
08/21/01 01:52 p	228,222	ma_diff Circadian 1-09.txt
08/21/01 01:53 p	54,526	ma_diff Circadian 1-10.txt
08/21/01 01:53 p	134,759	ma_diff CO2 1-1.txt
08/21/01 01:53 p	241,865	ma_diff CO2 1-2.txt
08/21/01 01:54 p	63,264	ma_diff CO2 1-3.txt
08/21/01 01:54 p	59,530	ma_diff CO2 1-4.txt
08/21/01 01:54 p	372,633	ma_diff CO2 1-5.txt
08/21/01 01:54 p	9,220	ma_diff Disease .txt
08/21/01 01:54 p	25,114	ma_diff H2O2 .txt
08/21/01 01:55 p	4,073	ma_diff Iol .txt
08/21/01 01:55 p	283,026	ma_diff Iron 1-1.txt
08/21/01 01:55 p	90,890	ma_diff Iron 1-2.txt
08/21/01 01:55 p	51,342	ma_diff Mitochondria-Electron Transp.txt
08/21/01 01:55 p	107,920	ma_diff NAA (Auxin) 1-1.txt
08/21/01 01:55 p	50,267	ma_diff NAA (Auxin) 1-2.txt
08/21/01 01:55 p	67,291	ma_diff Nitrogen.txt
08/21/01 01:56 p	6,441	ma_diff Phototropism 1-1.txt
08/21/01 01:56 p	45,620	ma_diff Shade.txt
08/21/01 01:56 p	22,229	ma_diff Phototropism 1-2.txt
08/21/01 01:56 p	28,270	ma_diff Phototropism 1-3.txt
08/21/01 01:56 p	73,438	ma_diff Sqn.txt
08/21/01 01:56 p	3,828	ma_diff Sulfur.txt
08/21/01 01:56 p	67,949	ma_diff Wounding.txt
08/21/01 01:57 p	30,836	ma_diff Zinc.txt
08/10/01 03:06 p	2,752,459	Protein Domain Table.txt
02/21/02 05:54 p	10,401,255	seqs.fasta.1
02/21/02 05:54 p	3,149,009	seqs.fasta.2
08/22/01 04:01 p	1,476	Single gene functions and utilities (1).txt
08/22/01 04:01 p	2,223	Single gene functions and utilities (2).txt
08/22/01 04:02 p	905	Single gene functions and utilities (3).txt
08/22/01 04:03 p	1,517	Single gene functions and utilities (4).txt
08/22/01 04:07 p	4,626	Single gene functions and utilities (5).txt
08/22/01 03:57 p	4,887	Single gene functions and utilities (6).txt
08/22/01 03:57 p	7,456	Single gene functions and utilities (7).txt
08/22/01 04:06 p	9,339	Single gene functions and utilities (8).txt
08/20/01 02:33 p	228,792	stanford_old_new_cdna_map.txt
02/27/02 04:27 p	279,711,648	flib1
02/27/02 04:22 p	290,311,988	flib2

	File Create Date	File Size	File Name	CD#15
	02/27/02 04:17 p	209,849,751	flib3
	02/27/02 04:14 p	226,030,922	flib4
	02/27/02 04:40 p	174,831,246	flib5

File Create Date	File Size	File Name	CD#16
08/12/01 12:28 p	861,063	reference.311987.710-0004-55300-US-U-31837.01_01
08/12/01 12:28 p	1,031,558	reference.311987.710-0004-55300-US-U-31837.01_02
08/12/01 12:27 p	923,000	reference.311987.710-0004-55300-US-U-31837.01_03
08/12/01 12:27 p	1,295,643	reference.311987.710-0004-55300-US-U-31837.01_04
08/12/01 12:27 p	1,235,936	reference.311987.710-0004-55300-US-U-31837.01_05
08/12/01 12:27 p	1,290,154	reference.311987.710-0004-55300-US-U-31837.01_06
08/12/01 12:27 p	1,408,509	reference.311987.710-0004-55300-US-U-31837.01_07
08/12/01 12:27 p	1,155,221	reference.311987.710-0004-55300-US-U-31837.01_08
08/12/01 12:27 p	1,519,100	reference.311987.710-0004-55300-US-U-31837.01_09
08/12/01 12:28 p	429,628	reference.311987.710-0004-55300-US-U-
		31837.01_0a_01
08/12/01 12:28 p	401,809	reference.311987.710-0004-55300-US-U-
		31837.01_0a_02
08/12/01 12:27 p	427,694	reference.311987.710-0004-55300-US-U-
		31837.01_0a_03
08/12/01 12:27 p	432,251	reference.311987.710-0004-55300-US-U-
		31837.01_0a_04
08/12/01 12:27 p	413,138	reference.311987.710-0004-55300-US-U-
		31837.01_0a_05
08/12/01 12:27 p	451,105	reference.311987.710-0004-55300-US-U-
		31837.01_0a_06
08/12/01 12:27 p	379,667	reference.311987.710-0004-55300-US-U-
		31837.01_0a_07
08/12/01 12:27 p	417,795	reference.311987.710-0004-55300-US-U-
		31837.01_0a_08
08/12/01 12:27 p	413,350	reference.311987.710-0004-55300-US-U-
		31837.01_0a_09
08/12/01 12:27 p	410,249	reference.311987.710-0004-55300-US-U-
		31837.01_0a_10
08/12/01 12:26 p	436,240	reference.311987.710-0004-55300-US-U-
		31837.01_0a_11
08/12/01 12:26 p	429,548	reference.311987.710-0004-55300-US-U-
		31837.01_0a_12
08/12/01 12:26 p	398,666	reference.311987.710-0004-55300-US-U-
		31837.01_0a_13
08/12/01 12:26 p	384,878	reference.311987.710-0004-55300-US-U-
		31837.01_0a_14
08/12/01 12:26 p	426,874	reference.311987.710-0004-55300-US-U-
		31837.01_0a_15
08/12/01 12:26 p	407,594	reference.311987.710-0004-55300-US-U-
		31837.01_0a_16
08/12/01 12:26 p	406,573	reference.311987.710-0004-55300-US-U-
		31837.01_0a_17
08/12/01 12:26 p	390,856	reference.311987.710-0004-55300-US-U-
		31837.01_0a_18
08/12/01 12:25 p	389,559	reference.311987.710-0004-55300-US-U-
		31837.01_0a_19
08/12/01 12:25 p	386,358	reference.311987.710-0004-55300-US-U-
		31837.01_0a_20
08/12/01 12:25 p	233,121	reference.311987.710-0004-55300-US-U-
		31837.01_0a_21
08/12/01 12:25 p	257,016	reference.311987.710-0004-55300-US-U-
		31837.01_0a_22
08/12/01 12:27 p	1,214,164	reference.311987.710-0004-55300-US-U-31837.01_10
08/12/01 12:26 p	880,728	reference.311987.710-0004-55300-US-U-31837.01_11
08/12/01 12:26 p	1,243,734	reference.311987.710-0004-55300-US-U-31837.01_12
08/12/01 12:26 p	1,172,494	reference.311987.710-0004-55300-US-U-31837.01_13
08/12/01 12:26 p	1,410,540	reference.311987.710-0004-55300-US-U-31837.01_14
08/12/01 12:26 p	1,284,893	reference.311987.710-0004-55300-US-U-31837.01_15
08/12/01 12:26 p	1,238,139	reference.311987.710-0004-55300-US-U-31837.01_16
08/12/01 12:26 p	1,123,370	reference.311987.710-0004-55300-US-U-31837.01_17
08/12/01 12:26 p	1,383,948	reference.311987.710-0004-55300-US-U-31837.01_18
08/12/01 12:26 p	1,334,757	reference.311987.710-0004-55300-US-U-31837.01_19
08/12/01 12:25 p	1,262,149	reference.311987.710-0004-55300-US-U-31837.01_20
08/12/01 12:25 p	3,141,453	reference.311987.710-0004-55300-US-U-31837.01_21
08/12/01 12:25 p	2,268,453	reference.311987.710-0004-55300-US-U-31837.01_22
08/12/01 12:25 p	1,311,040	reference.311988.710-0004-55300-US-U-31837.01_01
08/12/01 12:25 p	1,315,168	reference.311988.710-0004-55300-US-U-31837.01_02
08/12/01 12:25 p	1,422,465	reference.311988.710-0004-55300-US-U-31837.01_03
08/12/01 12:25 p	1,362,078	reference.311988.710-0004-55300-US-U-31837.01_04
08/12/01 12:24 p	1,796,701	reference.311988.710-0004-55300-US-U-31837.01_05
08/12/01 12:59 p	443,305	reference.311988.710-0004-55300-US-U-31837.01_06
08/12/01 12:25 p	454,861	reference.311988.710-0004-55300-US-U-
		31837.01_0a_01
08/12/01 12:25 p	498,999	reference.311988.710-0004-55300-US-U-
		31837.01_0a_02
08/12/01 12:25 p	462,050	reference.311988.710-0004-55300-US-U-
		31837.01_0a_03
08/12/01 12:25 p	481,049	reference.311988.710-0004-55300-US-U-
		31837.01_0a_04
08/12/01 12:24 p	442,638	reference.311988.710-0004-55300-US-U-
		31837.01_0a_05
08/12/01 12:59 p	108,273	reference.311988.710-0004-55300-US-U-
		31837.01_0a_06
08/12/01 12:40 p	1,162,616	reference.3708.710-0004-55300-US-U-31837.01_01
08/12/01 12:40 p	1,265,127	reference.3708.710-0004-55300-US-U-31837.01_02
08/12/01 12:40 p	1,064,503	reference.3708.710-0004-55300-US-U-31837.01_03
08/12/01 12:39 p	1,107,300	reference.3708.710-0004-55300-US-U-31837.01_04
08/12/01 12:39 p	1,033,733	reference.3708.710-0004-55300-US-U-31837.01_05
08/12/01 12:39 p	1,062,213	reference.3708.710-0004-55300-US-U-31837.01_06
08/12/01 12:39 p	1,051,659	reference.3708.710-0004-55300-US-U-31837.01_07
08/12/01 12:39 p	333,169	reference.3708.710-0004-55300-US-U-31837.01_08
08/12/01 12:40 p	354,429	reference.3708.710-0004-55300-US-U-31837.01_0a_01
08/12/01 12:40 p	343,086	reference.3708.710-0004-55300-US-U-31837.01_0a_02
08/12/01 12:39 p	306,206	reference.3708.710-0004-55300-US-U-31837.01_0a_03
08/12/01 12:39 p	303,772	reference.3708.710-0004-55300-US-U-31837.01_0a_04
08/12/01 12:39 p	349,121	reference.3708.710-0004-55300-US-U-31837.01_0a_05
08/12/01 12:39 p	378,008	reference.3708.710-0004-55300-US-U-31837.01_0a_06
08/12/01 12:39 p	319,039	reference.3708.710-0004-55300-US-U-31837.01_0a_07
08/12/01 12:39 p	13,652	reference.3708.710-0004-55300-US-U-31837.01_0a_08
08/12/01 12:39 p	2,960,662	reference.3769.710-0004-55300-US-U-31837.01_01
08/12/01 12:39 p	3,928,944	reference.3769.710-0004-55300-US-U-31837.01_02
08/12/01 12:39 p	1,143,746	reference.3769.710-0004-55300-US-U-31837.01_03
08/12/01 12:38 p	1,850,674	reference.3769.710-0004-55300-US-U-31837.01_04
08/12/01 12:38 p	1,491,681	reference.3769.710-0004-55300-US-U-31837.01_05
08/12/01 12:38 p	2,151,104	reference.3769.710-0004-55300-US-U-31837.01_06
08/12/01 12:38 p	3,456,519	reference.3769.710-0004-55300-US-U-31837.01_07
08/12/01 12:38 p	2,605,573	reference.3769.710-0004-55300-US-U-31837.01_08
08/12/01 12:38 p	2,031,088	reference.3769.710-0004-55300-US-U-31837.01_09
08/12/01 12:39 p	204,712	reference.3769.710-0004-55300-US-U-31837.01_0a_01
08/12/01 12:39 p	259,843	reference.3769.710-0004-55300-US-U-31837.01_0a_02
08/12/01 12:39 p	481,705	reference.3769.710-0004-55300-US-U-31837.01_0a_03
08/12/01 12:38 p	431,423	reference.3769.710-0004-55300-US-U-31837.01_0a_04
08/12/01 12:38 p	447,907	reference.3769.710-0004-55300-US-U-31837.01_0a_05
08/12/01 12:38 p	397,490	reference.3769.710-0004-55300-US-U-31837.01_0a_06
08/12/01 12:38 p	307,188	reference.3769.710-0004-55300-US-U-31837.01_0a_07
08/12/01 12:38 p	242,156	reference.3769.710-0004-55300-US-U-31837.01_0a_08
08/12/01 12:38 p	239,017	reference.3769.710-0004-55300-US-U-31837.01_0a_09
08/12/01 12:37 p	329,822	reference.3769.710-0004-55300-US-U-31837.01_0a_10
08/12/01 12:37 p	315,287	reference.3769.710-0004-55300-US-U-31837.01_0a_11
08/12/01 12:37 p	321,237	reference.3769.710-0004-55300-US-U-31837.01_0a_12
08/12/01 12:37 p	231,415	reference.3769.710-0004-55300-US-U-31837.01_0a_13
08/12/01 12:37 p	207,085	reference.3769.710-0004-55300-US-U-31837.01_0a_14
08/12/01 12:37 p	373,324	reference.3769.710-0004-55300-US-U-31837.01_0a_15
08/12/01 12:37 p	404,723	reference.3769.710-0004-55300-US-U-31837.01_0a_16
08/12/01 12:37 p	353,390	reference.3769.710-0004-55300-US-U-31837.01_0a_17
08/12/01 12:36 p	297,987	reference.3769.710-0004-55300-US-U-31837.01_0a_18
08/12/01 12:36 p	288,433	reference.3769.710-0004-55300-US-U-31837.01_0a_19
08/12/01 12:36 p	278,112	reference.3769.710-0004-55300-US-U-31837.01_0a_20
08/12/01 12:36 p	315,185	reference.3769.710-0004-55300-US-U-31837.01_0a_21
08/12/01 12:36 p	313,774	reference.3769.710-0004-55300-US-U-31837.01_0a_22
08/12/01 12:36 p	241,504	reference.3769.710-0004-55300-US-U-31837.01_0a_23
08/12/01 12:35 p	209,582	reference.3769.710-0004-55300-US-U-31837.01_0a_24
08/12/01 12:35 p	234,527	reference.3769.710-0004-55300-US-U-31837.01_0a_25
08/12/01 12:35 p	253,047	reference.3769.710-0004-55300-US-U-31837.01_0a_26
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08/12/01 12:39 p	214,772	sequences.3708.710-0004-55300-US-U-31837.01_08
08/12/01 12:40 p	1,671,016	sequences.3708.710-0004-55300-US-U-31837.01_0a_01
08/12/01 12:40 p	1,499,311	sequences.3708.710-0004-55300-US-U-31837.01_0a_02
08/12/01 12:40 p	1,356,077	sequences.3708.710-0004-55300-US-U-31837.01_0a_03
08/12/01 12:39 p	1,353,688	sequences.3708.710-0004-55300-US-U-31837.01_0a_04
08/12/01 12:39 p	1,625,298	sequences.3708.710-0004-55300-US-U-31837.01_0a_05
08/12/01 12:39 p	1,953,281	sequences.3708.710-0004-55300-US-U-31837.01_0a_06
08/12/01 12:39 p	1,411,726	sequences.3708.710-0004-55300-US-U-31837.01_0a_07
08/12/01 12:39 p	58,110	sequences.3708.710-0004-55300-US-U-31837.01_0a_08
08/12/01 12:39 p	4,681,114	sequences.3769.710-0004-55300-US-U-31837.01_01
08/12/01 12:39 p	9,097,576	sequences.3769.710-0004-55300-US-U-31837.01_02
08/12/01 12:39 p	2,338,937	sequences.3769.710-0004-55300-US-U-31837.01_03
08/12/01 12:39 p	3,643,976	sequences.3769.710-0004-55300-US-U-31837.01_04
08/12/01 12:38 p	3,035,224	sequences.3769.710-0004-55300-US-U-31837.01_05
08/12/01 12:38 p	4,050,104	sequences.3769.710-0004-55300-US-U-31837.01_06
08/12/01 12:38 p	7,557,947	sequences.3769.710-0004-55300-US-U-31837.01_07
08/12/01 12:38 p	5,941,741	sequences.3769.710-0004-55300-US-U-31837.01_08
08/12/01 12:38 p	3,591,797	sequences.3769.710-0004-55300-US-U-31837.01_09
08/12/01 12:39 p	1,291,833	sequences.3769.710-0004-55300-US-U-31837.01_0a_01
08/12/01 12:39 p	2,203,264	sequences.3769.710-0004-55300-US-U-31837.01_0a_02
08/12/01 12:39 p	1,793,569	sequences.3769.710-0004-55300-US-U-31837.01_0a_03
08/12/01 12:38 p	1,883,101	sequences.3769.710-0004-55300-US-U-31837.01_0a_04
08/12/01 12:38 p	1,878,022	sequences.3769.710-0004-55300-US-U-31837.01_0a_05
08/12/01 12:38 p	1,894,237	sequences.3769.710-0004-55300-US-U-31837.01_0a_06
08/12/01 12:38 p	2,334,589	sequences.3769.710-0004-55300-US-U-31837.01_0a_07
08/12/01 12:38 p	1,892,455	sequences.3769.710-0004-55300-US-U-31837.01_0a_08
08/12/01 12:38 p	990,861	sequences.3769.710-0004-55300-US-U-31837.01_0a_09
08/12/01 12:37 p	1,527,247	sequences.3769.710-0004-55300-US-U-31837.01_0a_10
08/12/01 12:37 p	1,515,030	sequences.3769.710-0004-55300-US-U-31837.01_0a_11
08/12/01 12:37 p	1,317,656	sequences.3769.710-0004-55300-US-U-31837.01_0a_12
08/12/01 12:37 p	1,042,164	sequences.3769.710-0004-55300-US-U-31837.01_0a_13
08/12/01 12:37 p	895,441	sequences.3769.710-0004-55300-US-U-31837.01_0a_14
08/12/01 12:37 p	1,519,870	sequences.3769.710-0004-55300-US-U-31837.01_0a_15
08/12/01 12:37 p	1,643,027	sequences.3769.710-0004-55300-US-U-31837.01_0a_16
08/12/01 12:37 p	1,781,271	sequences.3769.710-0004-55300-US-U-31837.01_0a_17
08/12/01 12:36 p	1,694,447	sequences.3769.710-0004-55300-US-U-31837.01_0a_18
08/12/01 12:36 p	1,412,254	sequences.3769.710-0004-55300-US-U-31837.01_0a_19
08/12/01 12:36 p	1,445,196	sequences.3769.710-0004-55300-US-U-31837.01_0a_20
08/12/01 12:36 p	1,662,630	sequences.3769.710-0004-55300-US-U-31837.01_0a_21
08/12/01 12:36 p	1,482,765	sequences.3769.710-0004-55300-US-U-31837.01_0a_22
08/12/01 12:36 p	1,882,548	sequences.3769.710-0004-55300-US-U-31837.01_0a_23
08/12/01 12:35 p	1,683,396	sequences.3769.710-0004-55300-US-U-31837.01_0a_24
08/12/01 12:35 p	1,860,445	sequences.3769.710-0004-55300-US-U-31837.01_0a_25
08/12/01 12:35 p	1,920,805	sequences.3769.710-0004-55300-US-U-31837.01_0a_26
08/12/01 12:35 p	2,145,573	sequences.3769.710-0004-55300-US-U-31837.01_0a_27
08/12/01 12:34 p	1,944,003	sequences.3769.710-0004-55300-US-U-31837.01_0a_28
08/12/01 12:34 p	1,453,337	sequences.3769.710-0004-55300-US-U-31837.01_0a_29
08/12/01 12:34 p	1,040,431	sequences.3769.710-0004-55300-US-U-31837.01_0a_30
08/12/01 12:38 p	6,322,437	sequences.3769.710-0004-55300-US-U-31837.01_10
08/12/01 12:37 p	7,229,469	sequences.3769.710-0004-55300-US-U-31837.01_11
08/12/01 12:37 p	5,856,227	sequences.3769.710-0004-55300-US-U-31837.01_12
08/12/01 12:37 p	1,871,619	sequences.3769.710-0004-55300-US-U-31837.01_13
08/12/01 12:37 p	1,068,100	sequences.3769.710-0004-55300-US-U-31837.01_14
08/12/01 12:37 p	4,230,930	sequences.3769.710-0004-55300-US-U-31837.01_15
08/12/01 12:37 p	5,038,862	sequences.3769.710-0004-55300-US-U-31837.01_16
08/12/01 12:37 p	7,361,421	sequences.3769.710-0004-55300-US-U-31837.01_17
08/12/01 12:37 p	6,746,843	sequences.3769.710-0004-55300-US-U-31837.01_18
08/12/01 12:36 p	8,093,383	sequences.3769.710-0004-55300-US-U-31837.01_19
08/12/01 12:36 p	7,542,448	sequences.3769.710-0004-55300-US-U-31837.01_20
08/12/01 12:36 p	7,203,991	sequences.3769.710-0004-55300-US-U-31837.01_21
08/12/01 12:36 p	3,418,395	sequences.3769.710-0004-55300-US-U-31837.01_22
08/12/01 12:36 p	9,731,566	sequences.3769.710-0004-55300-US-U-31837.01_23
08/12/01 12:35 p	10,233,786	sequences.3769.710-0004-55300-US-U-31837.01_24
08/12/01 12:35 p	9,444,719	sequences.3769.710-0004-55300-US-U-31837.01_25
08/12/01 12:35 p	9,697,820	sequences.3769.710-0004-55300-US-U-31837.01_26
08/12/01 12:35 p	9,008,720	sequences.3769.710-0004-55300-US-U-31837.01_27
08/12/01 12:35 p	10,480,641	sequences.3769.710-0004-55300-US-U-31837.01_28
08/12/01 12:34 p	7,417,362	sequences.3769.710-0004-55300-US-U-31837.01_29
08/12/01 12:34 p	4,676,436	sequences.3769.710-0004-55300-US-U-31837.01_30
08/12/01 12:34 p	1,708,595	sequences.3847.710-0004-55300-US-U-31837.01_01
08/12/01 12:34 p	1,273,283	sequences.3847.710-0004-55300-US-U-31837.01_02
08/12/01 12:34 p	1,325,142	sequences.3847.710-0004-55300-US-U-31837.01_03
08/12/01 12:34 p	1,000,132	sequences.3847.710-0004-55300-US-U-31837.01_04
08/12/01 12:33 p	1,350,824	sequences.3847.710-0004-55300-US-U-31837.01_05
08/12/01 12:33 p	1,391,293	sequences.3847.710-0004-55300-US-U-31837.01_06
08/12/01 12:33 p	1,565,355	sequences.3847.710-0004-55300-US-U-31837.01_07
08/12/01 12:33 p	1,335,459	sequences.3847.710-0004-55300-US-U-31837.01_08
08/12/01 12:33 p	1,217,484	sequences.3847.710-0004-55300-US-U-31837.01_09
08/12/01 12:34 p	1,602,384	sequences.3847.710-0004-55300-US-U-31837.01_0a_01
08/12/01 12:34 p	1,397,192	sequences.3847.710-0004-55300-US-U-31837.01_0a_02
08/12/01 12:34 p	1,790,919	sequences.3847.710-0004-55300-US-U-31837.01_0a_03
08/12/01 12:33 p	1,375,977	sequences.3847.710-0004-55300-US-U-31837.01_0a_04
08/12/01 12:33 p	1,625,752	sequences.3847.710-0004-55300-US-U-31837.01_0a_05
08/12/01 12:33 p	1,826,869	sequences.3847.710-0004-55300-US-U-31837.01_0a_06
08/12/01 12:33 p	1,760,973	sequences.3847.710-0004-55300-US-U-31837.01_0a_07
08/12/01 12:33 p	1,673,425	sequences.3847.710-0004-55300-US-U-31837.01_0a_08
08/12/01 12:33 p	1,641,398	sequences.3847.710-0004-55300-US-U-31837.01_0a_09
08/12/01 12:33 p	2,207,438	sequences.3847.710-0004-55300-US-U-31837.01_0a_10
08/12/01 12:33 p	1,557,981	sequences.3847.710-0004-55300-US-U-31837.01_0a_11
08/12/01 12:33 p	2,377,538	sequences.3847.710-0004-55300-US-U-31837.01_0a_12
08/12/01 12:32 p	1,448,464	sequences.3847.710-0004-55300-US-U-31837.01_0a_13
08/12/01 12:32 p	1,463,852	sequences.3847.710-0004-55300-US-U-31837.01_0a_14
08/12/01 12:32 p	1,598,669	sequences.3847.710-0004-55300-US-U-31837.01_0a_15
08/12/01 12:32 p	1,469,314	sequences.3847.710-0004-55300-US-U-31837.01_0a_16
08/12/01 12:32 p	2,123,438	sequences.3847.710-0004-55300-US-U-31837.01_0a_17
08/12/01 12:32 p	1,713,220	sequences.3847.710-0004-55300-US-U-31837.01_0a_18
08/12/01 12:32 p	1,548,961	sequences.3847.710-0004-55300-US-U-31837.01_0a_19
08/12/01 12:32 p	1,548,185	sequences.3847.710-0004-55300-US-U-31837.01_0a_20
08/12/01 12:32 p	1,039,094	sequences.3847.710-0004-55300-US-U-31837.01_0a_21
08/12/01 12:31 p	839,677	sequences.3847.710-0004-55300-US-U-31837.01_0a_22
08/12/01 12:31 p	715,715	sequences.3847.710-0004-55300-US-U-31837.01_0a_23
08/12/01 12:31 p	610,467	sequences.3847.710-0004-55300-US-U-31837.01_0a_24
08/12/01 12:31 p	1,075,842	sequences.3847.710-0004-55300-US-U-31837.01_0a_25
08/12/01 12:31 p	298,443	sequences.3847.710-0004-55300-US-U-31837.01_0a_26
08/12/01 12:33 p	2,114,850	sequences.3847.710-0004-55300-US-U-31837.01_10
08/12/01 12:33 p	1,392,995	sequences.3847.710-0004-55300-US-U-31837.01_11
08/12/01 12:33 p	2,104,593	sequences.3847.710-0004-55300-US-U-31837.01_12
08/12/01 12:32 p	1,119,835	sequences.3847.710-0004-55300-US-U-31837.01_13
08/12/01 12:32 p	1,150,254	sequences.3847.710-0004-55300-US-U-31837.01_14
08/12/01 12:32 p	1,718,830	sequences.3847.710-0004-55300-US-U-31837.01_15
08/12/01 12:32 p	1,059,550	sequences.3847.710-0004-55300-US-U-31837.01_16
08/12/01 12:32 p	1,289,986	sequences.3847.710-0004-55300-US-U-31837.01_17
08/12/01 12:32 p	894,435	sequences.3847.710-0004-55300-US-U-31837.01_18
08/12/01 12:32 p	893,536	sequences.3847.710-0004-55300-US-U-31837.01_19
08/12/01 12:32 p	906,412	sequences.3847.710-0004-55300-US-U-31837.01_20
08/12/01 12:32 p	3,250,669	sequences.3847.710-0004-55300-US-U-31837.01_21
08/12/01 12:31 p	2,308,413	sequences.3847.710-0004-55300-US-U-31837.01_22
08/12/01 12:31 p	2,341,847	sequences.3847.710-0004-55300-US-U-31837.01_23
08/12/01 12:31 p	2,730,277	sequences.3847.710-0004-55300-US-U-31837.01_24
08/12/01 12:31 p	4,276,026	sequences.3847.710-0004-55300-US-U-31837.01_25
08/12/01 12:31 p	906,646	sequences.3847.710-0004-55300-US-U-31837.01_26

File Create Date	File Size	File Name	CD#17
08/17/01 04:48 p	4,052,876	cdna_clusters.txt
08/22/01 05:03 p	35,153	Cluster Functions and Utilities (01).txt
08/22/01 05:04 p	40,447	Cluster Functions and Utilities (02).txt
08/22/01 05:04 p	4,473	Cluster Functions and Utilities (03).txt
08/22/01 05:05 p	7,820	Cluster Functions and Utilities (04).txt
08/22/01 05:05 p	24,047	Cluster Functions and Utilities (05).txt
08/22/01 05:06 p	18,490	Cluster Functions and Utilities (06).txt
08/22/01 05:11 p	36,273	Cluster functions and utilities (07).txt
08/22/01 04:17 p	33,962	Cluster Functions and Utilities (08).txt
08/22/01 04:16 p	23,000	Cluster functions and utilities (09).txt
08/21/01 09:47 p	2,691	Cluster functions and utilities (10).txt
08/21/01 09:47 p	2,290	Cluster functions and utilities (11).txt
08/22/01 05:25 p	23,740	Cluster Functions and Utilities (12).txt
08/22/01 03:14 p	331,616	enhanced_amino.txt
08/20/01 01:44 p	13,132,268	gb_only_peptides.fasta
08/21/01 03:28 p	392,675	knock_in.710-0004-55300-US-U-31837_01.txt
08/14/01 07:12 p	831,736	knock_out.710-0004-55300-US-U-31837.01
08/20/01 11:56 a	16,635,460	ma_clusters.710-0004-55300-US-U-31837.01
08/21/01 02:09 p	55,307	ma_diff Aluminum.txt
08/21/01 02:10 p	27,557	ma_diff Axel.txt
08/21/01 02:13 p	41,505	ma_diff Cadium .txt
08/21/01 02:51 p	53,938	ma_diff Cauliflower .txt
08/21/01 02:50 p	98,775	ma_diff Chloroplast.txt
08/21/01 02:50 p	160,542	ma_diff Circadian 1-02.txt
08/21/01 02:50 p	127,498	ma_diff Circadian 1-03.txt
08/21/01 02:51 p	166,158	ma_diff Circadian 1-04.txt
08/21/01 02:50 p	141,971	ma_diff Circadian 1-01.txt
08/21/01 02:52 p	56,536	ma_diff Circadian 1-05.txt
08/21/01 02:52 p	121,178	ma_diff Circadian 1-06.txt
08/21/01 02:52 p	133,389	ma_diff Circadian 1-07.txt
08/21/01 02:52 p	259,096	ma_diff Circadian 1-08.txt
08/21/01 02:52 p	228,222	ma_diff Circadian 1-09.txt
08/21/01 02:53 p	54,526	ma_diff Circadian 1-10.txt
08/21/01 02:53 p	134,759	ma_diff CO2 1-1.txt
08/21/01 02:53 p	241,865	ma_diff CO2 1-2.txt
08/21/01 02:54 p	63,264	ma_diff CO2 1-3.txt
08/21/01 02:54 p	59,530	ma_diff CO2 1-4.txt
08/21/01 02:54 p	372,633	ma_diff CO2 1-5.txt
08/21/01 02:54 p	9,220	ma_diff Disease .txt
08/21/01 02:54 p	25,114	ma_diff H2O2 .txt
08/21/01 02:55 p	4,073	ma_diff Iol .txt
08/21/01 02:55 p	283,026	ma_diff Iron 1-1.txt
08/21/01 02:55 p	90,890	ma_diff Iron 1-2.txt
08/21/01 02:55 p	51,342	ma_diff Mitochondria-Electron Transp.txt
08/21/01 02:55 p	107,920	ma_diff NAA (Auxin) 1-1.txt
08/21/01 02:55 p	50,267	ma_diff NAA (Auxin) 1-2.txt
08/21/01 02:55 p	67,291	ma_diff Nitrogen.txt
08/21/01 02:56 p	6,441	ma_diff Phototropism 1-1.txt
08/21/01 02:56 p	22,229	ma_diff Phototropism 1-2.txt
08/21/01 02:56 p	28,270	ma_diff Phototropism 1-3.txt
08/21/01 02:56 p	45,620	ma_diff Shade.txt
08/21/01 02:56 p	73,438	ma_diff Sqn.txt
08/21/01 02:56 p	3,828	ma_diff Sulfur.txt
08/21/01 02:56 p	67,949	ma_diff Wounding.txt
08/21/01 02:57 p	30,836	ma_diff Zinc.txt
08/21/01 03:54 p	4,318,956	ma_diff.710-0004-55300-US-U-31837.01
08/10/01 03:06 p	2,752,459	Protein Domain Table.txt
08/22/01 11:21 a	2,310,061	protein_group_710-0004-55300-US-U-31837.01_1
08/21/01 08:27 p	20,964,975	protein_group_matrix.001
08/21/01 08:31 p	17,961,050	protein_group_matrix.002
08/12/01 12:31 p	1,455,871	sequences.4565.710-0004-55300-US-U-31837.01_01
08/12/01 12:31 p	1,390,325	sequences.4565.710-0004-55300-US-U-31837.01_02
08/12/01 12:31 p	1,469,239	sequences.4565.710-0004-55300-US-U-31837.01_03
08/12/01 12:30 p	1,510,762	sequences.4565.710-0004-55300-US-U-31837.01_04
08/12/01 12:30 p	1,767,251	sequences.4565.710-0004-55300-US-U-31837.01_05
08/12/01 12:30 p	1,556,895	sequences.4565.710-0004-55300-US-U-31837.01_06
08/12/01 12:30 p	1,604,610	sequences.4565.710-0004-55300-US-U-31837.01_07
08/12/01 12:30 p	1,668,865	sequences.4565.710-0004-55300-US-U-31837.01_08
08/12/01 12:30 p	1,388,145	sequences.4565.710-0004-55300-US-U-31837.01_09
08/12/01 12:31 p	1,759,069	sequences.4565.710-0004-55300-US-U-31837.01_0a_01
08/12/01 12:31 p	1,777,239	sequences.4565.710-0004-55300-US-U-31837.01_0a_02
08/12/01 12:31 p	1,791,311	sequences.4565.710-0004-55300-US-U-31837.01_0a_03
08/12/01 12:30 p	1,670,399	sequences.4565.710-0004-55300-US-U-31837.01_0a_04
08/12/01 12:30 p	1,861,173	sequences.4565.710-0004-55300-US-U-31837.01_0a_05
08/12/01 12:30 p	2,348,979	sequences.4565.710-0004-55300-US-U-31837.01_0a_06
08/20/01 03:33 p	228,792	stanford_old_new_cdna_map.txt
08/12/01 12:30 p	1,728,037	sequences.4565.710-0004-55300-US-U-31837.01_0a_07
08/12/01 12:30 p	1,907,270	sequences.4565.710-0004-55300-US-U-31837.01_0a_08
08/12/01 12:30 p	1,839,684	sequences.4565.710-0004-55300-US-U-31837.01_0a_09
08/12/01 12:30 p	2,066,667	sequences.4565.710-0004-55300-US-U-31837.01_0a_10
08/12/01 12:30 p	1,843,540	sequences.4565.710-0004-55300-US-U-31837.01_0a_11
08/12/01 12:29 p	1,760,968	sequences.4565.710-0004-55300-US-U-31837.01_0a_12
08/12/01 12:29 p	1,581,505	sequences.4565.710-0004-55300-US-U-31837.01_0a_13
08/12/01 12:29 p	1,833,741	sequences.4565.710-0004-55300-US-U-31837.01_0a_14
08/12/01 12:29 p	1,877,368	sequences.4565.710-0004-55300-US-U-31837.01_0a_15
08/12/01 12:29 p	2,304,478	sequences.4565.710-0004-55300-US-U-31837.01_0a_16
08/12/01 12:29 p	2,538,522	sequences.4565.710-0004-55300-US-U-31837.01_0a_17
08/12/01 12:29 p	2,463,631	sequences.4565.710-0004-55300-US-U-31837.01_0a_18
08/12/01 12:29 p	2,343,047	sequences.4565.710-0004-55300-US-U-31837.01_0a_19
08/12/01 12:29 p	2,356,395	sequences.4565.710-0004-55300-US-U-31837.01_0a_20
08/12/01 12:28 p	2,193,667	sequences.4565.710-0004-55300-US-U-31837.01_0a_21
08/12/01 12:28 p	1,931,561	sequences.4565.710-0004-55300-US-U-31837.01_0a_22
08/12/01 12:28 p	2,057,772	sequences.4565.710-0004-55300-US-U-31837.01_0a_23
08/12/01 12:28 p	2,023,186	sequences.4565.710-0004-55300-US-U-31837.01_0a_24
08/12/01 12:28 p	2,229,571	sequences.4565.710-0004-55300-US-U-31837.01_0a_25
08/12/01 12:28 p	2,313,213	sequences.4565.710-0004-55300-US-U-31837.01_0a_26
08/12/01 12:28 p	2,260,010	sequences.4565.710-0004-55300-US-U-31837.01_0a_27
08/12/01 12:28 p	1,767,404	sequences.4565.710-0004-55300-US-U-31837.01_0a_28
08/12/01 12:28 p	842,095	sequences.4565.710-0004-55300-US-U-31837.01_0a_29
08/12/01 12:30 p	1,612,982	sequences.4565.710-0004-55300-US-U-31837.01_10
08/12/01 12:30 p	1,484,547	sequences.4565.710-0004-55300-US-U-31837.01_11
08/12/01 12:30 p	1,609,501	sequences.4565.710-0004-55300-US-U-31837.01_12
08/12/01 12:29 p	1,787,625	sequences.4565.710-0004-55300-US-U-31837.01_13
08/12/01 12:29 p	1,516,984	sequences.4565.710-0004-55300-US-U-31837.01_14
08/12/01 12:29 p	1,772,733	sequences.4565.710-0004-55300-US-U-31837.01_15
08/12/01 12:29 p	1,407,918	sequences.4565.710-0004-55300-US-U-31837.01_16
08/12/01 12:29 p	1,115,351	sequences.4565.710-0004-55300-US-U-31837.01_17
08/12/01 12:29 p	1,139,747	sequences.4565.710-0004-55300-US-U-31837.01_18
08/12/01 12:29 p	1,295,834	sequences.4565.710-0004-55300-US-U-31837.01_19
08/12/01 12:29 p	1,225,893	sequences.4565.710-0004-55300-US-U-31837.01_20
08/12/01 12:29 p	967,637	sequences.4565.710-0004-55300-US-U-31837.01_21
08/12/01 12:28 p	1,093,025	sequences.4565.710-0004-55300-US-U-31837.01_22
08/12/01 12:28 p	891,289	sequences.4565.710-0004-55300-US-U-31837.01_23
08/12/01 12:28 p	963,017	sequences.4565.710-0004-55300-US-U-31837.01_24
08/12/01 12:28 p	574,648	sequences.4565.710-0004-55300-US-U-31837.01_25
08/12/01 12:28 p	609,860	sequences.4565.710-0004-55300-US-U-31837.01_26
08/12/01 12:28 p	640,421	sequences.4565.710-0004-55300-US-U-31837.01_27
08/12/01 12:28 p	1,321,767	sequences.4565.710-0004-55300-US-U-31837.01_28
08/12/01 12:28 p	1,301,973	sequences.4565.710-0004-55300-US-U-31837.01_29
08/22/01 05:01 p	1,476	Single gene functions and utilities (1).txt
08/22/01 05:01 p	2,223	Single gene functions and utilities (2).txt
08/22/01 05:02 p	905	Single gene functions and utilities (3).txt
08/22/01 05:03 p	1,517	Single gene functions and utilities (4).txt
08/22/01 05:07 p	4,626	Single gene functions and utilities (5).txt
08/22/01 04:57 p	4,887	Single gene functions and utilities (6).txt
08/22/01 04:57 p	7,456	Single gene functions and utilities (7).txt
08/22/01 05:06 p	9,339	Single gene functions and utilities (8).txt
08/24/01 02:54 p	12,684	Cluster Functions and Utilities 01.txt
08/24/01 02:56 p	91,002	Cluster Functions and Utilities 02.txt
08/24/01 02:57 p	6,256	Cluster Functions and Utilities 03.txt
08/24/01 02:58 p	6,292	Cluster Functions and Utilities 04.txt
08/24/01 02:58 p	37,345	Cluster Functions and Utilities 05.txt
08/24/01 03:02 p	96,535	Cluster Functions and Utilities 06.txt
08/24/01 03:44 p	8,447	Cluster Functions and Utilities 07.txt
08/24/01 04:04 p	17,087	Cluster Functions and Utilities 08.txt
08/24/01 12:59 p	1,090,292	gb_only_peptides_II.fasta
08/24/01 03:12 p	1,645,031	knock_out._01
08/24/01 05:21 p	6,947	KNOCK-IN_01.txt
08/24/01 05:22 p	11,374	KNOCK-IN_02.txt
08/10/01 03:06 p	2,752,459	Protein Domain Table.txt
08/24/01 12:46 p	1,642,574	protein_group
08/23/01 05:16 p	20,971,520	protein_group_matrix.001
08/23/01 05:16 p	14,734,163	protein_group_matrix.002
08/23/01 09:32 p	307,501	reference.311987.710-0004-55300-US-U-31950.01_0a_1
08/23/01 09:32 p	701,425	reference.311987.710-0004-55300-US-U-31950.01_1
08/23/01 09:23 p	137,011	reference.3769.710-0004-55300-US-U-31950.01_0a_1
08/23/01 09:23 p	809,915	reference.3769.710-0004-55300-US-U-31950.01_1
08/23/01 09:25 p	69,159	reference.3847.710-0004-55300-US-U-31950.01_0a_1
08/23/01 09:25 p	105,695	reference.3847.710-0004-55300-US-U-31950.01_1
08/23/01 09:32 p	1,387,172	sequences.311987.710-0004-55300-US-U-31950.01_0a_1
08/23/01 09:32 p	635,667	sequences.311987.710-0004-55300-US-U-31950.01_1
08/23/01 09:23 p	762,492	sequences.3769.710-0004-55300-US-U-31950.01_0a_1
08/23/01 09:23 p	1,721,941	sequences.3769.710-0004-55300-US-U-31950.01_1
08/23/01 09:25 p	311,205	sequences.3847.710-0004-55300-US-U-31950.01_0a_1
08/23/01 09:25 p	111,913	sequences.3847.710-0004-55300-US-U-31950.01_1
02/25/02 02:36 p	10,512,576	group0.txt
02/25/02 02:38 p	10,493,605	group1.txt
02/25/02 02:41 p	10,489,244	group2.txt
02/25/02 02:44 p	10,687,170	group3.txt
02/25/02 02:47 p	10,732,414	group4.txt
02/25/02 02:49 p	10,727,807	group5.txt
02/25/02 02:52 p	10,616,591	group6.txt
02/25/02 02:53 p	6,065,227	group7.txt
02/21/02 05:54 p	10,401,255	seqs.fasta.1
02/21/02 05:54 p	3,149,009	seqs.fasta.2
02/28/02 04:04 p	3,733,718	titles

	File Create Date	File Size	File Name	CD#18
	02/27/02 04:22 p	290,311,988	flib2
	02/27/02 04:27 p	279,711,648	flib1

	File Create Date	File Size	File Name	CD#19
	02/27/02 04:17 p	209,849,751	flib3
	02/27/02 04:14 p	226,030,922	flib4
	02/27/02 04:40 p	174,831,246	flib5

File Create Date	File Size	File Name	CD#20
09/26/02 04:47 p	4,052,876	cdna_clusters.txt
09/26/02 04:47 p	35,153	Cluster Functions and Utilities (01).txt
09/26/02 04:47 p	40,447	Cluster Functions and Utilities (02).txt
09/26/02 04:47 p	4,473	Cluster Functions and Utilities (03).txt
09/26/02 04:47 p	7,820	Cluster Functions and Utilities (04).txt
09/26/02 04:47 p	24,047	Cluster Functions and Utilities (05).txt
09/26/02 04:47 p	18,490	Cluster Functions and Utilities (06).txt
09/26/02 04:47 p	36,273	Cluster Functions and utilities (07).txt
09/26/02 04:47 p	33,962	Cluster Functions and Utilities (08).txt
09/26/02 04:47 p	23,000	Cluster Functions and utilities (09).txt
09/26/02 04:47 p	2,691	Cluster Functions and utilities (10).txt
09/26/02 04:47 p	2,290	Cluster Functions and utilities (11).txt
09/26/02 04:47 p	23,740	Cluster Funtions and Utilities (12).txt
09/26/02 04:47 p	331,616	enhanced_amino.txt
09/26/02 04:47 p	13,132,268	gb_only_peptides.fasta
09/26/02 04:47 p	392,675	knock_in.710-0004-55300-US-U-31835_01.txt
09/26/02 04:47 p	831,736	knock_out.710-0004-55300-US-U-31835.01
09/26/02 04:47 p	16,635,460	ma_clusters.710-0004-55300-US-U-31835.01
09/26/02 04:47 p	55,307	ma_diff Aluminum.txt
09/26/02 04:47 p	27,557	ma_diff Axel.txt
09/26/02 04:47 p	41,505	ma_diff Cadium .txt
09/26/02 04:47 p	53,938	ma_diff Cauliflower .txt
09/26/02 04:47 p	98,775	ma_diff Chloroplast.txt
09/26/02 04:47 p	141,971	ma_diff Circadian 1-01.txt
09/26/02 04:47 p	160,542	ma_diff Circadian 1-02.txt
09/26/02 04:47 p	127,498	ma_diff Circadian 1-03.txt
09/26/02 04:47 p	166,158	ma_diff Circadian 1-04.txt
09/26/02 04:47 p	56,536	ma_diff Circadian 1-05.txt
09/26/02 04:47 p	121,178	ma_diff Circadian 1-06.txt
09/26/02 04:47 p	133,389	ma_diff Circadian 1-07.txt
09/26/02 04:47 p	259,096	ma_diff Circadian 1-08.txt
09/26/02 04:47 p	228,222	ma_diff Circadian 1-09.txt
09/26/02 04:47 p	54,526	ma_diff Circadian 1-10.txt
09/26/02 04:47 p	134,759	ma_diff CO2 1-1.txt
09/26/02 04:47 p	241,865	ma_diff CO2 1-2.txt
09/26/02 04:47 p	63,264	ma_diff CO2 1-3.txt
09/26/02 04:47 p	59,530	ma_diff CO2 1-4.txt
09/26/02 04:47 p	372,633	ma_diff CO2 1-5.txt
09/26/02 04:47 p	9,220	ma_diff Disease .txt
09/26/02 04:47 p	25,114	ma_diff H2O2 .txt
09/26/02 04:47 p	4,073	ma_diff Iol .txt
09/26/02 04:47 p	283,026	ma_diff Iron 1-1.txt
09/26/02 04:47 p	90,890	ma_diff Iron 1-2.txt
09/26/02 04:47 p	51,342	ma_diff Mitochondria-Electron Transp.txt
09/26/02 04:47 p	107,920	ma_diff NAA (Auxin) 1-1.txt
09/26/02 04:47 p	50,267	ma_diff NAA (Auxin) 1-2.txt
09/26/02 04:47 p	67,291	ma_diff Nitrogen.txt
09/26/02 04:47 p	6,441	ma_diff Phototropism 1-1.txt
09/26/02 04:47 p	22,229	ma_diff Phototropism 1-2.txt
09/26/02 04:47 p	28,270	ma_diff Phototropism 1-3.txt
09/26/02 04:47 p	45,620	ma_diff Shade.txt
09/26/02 04:47 p	73,438	ma_diff Sqn.txt
09/26/02 04:47 p	3,828	ma_diff Sulfur.txt
09/26/02 04:47 p	67,949	ma_diff Wounding.txt
09/26/02 04:47 p	30,836	ma_diff Zinc.txt
09/26/02 04:47 p	4,318,956	ma_diff.710-0004-55300-US-U-31835.01
09/26/02 04:47 p	2,752,459	Protein Domain Table.txt
09/26/02 04:47 p	14,778,004	protein_group_710-0004-55300-US-U-31835.01_01
09/26/02 04:47 p	12,953,488	protein_group_710-0004-55300-US-U-31835.01_02
09/26/02 04:47 p	12,866,803	protein_group_710-0004-55300-US-U-31835.01_03
09/26/02 04:47 p	15,451,084	protein_group_710-0004-55300-US-U-31835.01_04
09/26/02 04:48 p	20,982,878	protein_group_matrix.001
09/26/02 04:47 p	13,753,735	protein_group_710-0004-55300-US-U-31835.01_05
09/26/02 04:47 p	17,503,319	protein_group_710-0004-55300-US-U-31835.01_06
09/26/02 04:47 p	16,376,099	protein_group_710-0004-55300-US-U-31835.01_07
09/26/02 04:47 p	13,390,661	protein_group_710-0004-55300-US-U-31835.01_08
09/26/02 04:47 p	14,328,338	protein_group_710-0004-55300-US-U-31835.01_09
09/26/02 04:47 p	12,595,465	protein_group_710-0004-55300-US-U-31835.01_10
09/26/02 04:47 p	14,577,180	protein_group_710-0004-55300-US-U-31835.01_11
09/26/02 04:47 p	15,580,727	protein_group_710-0004-55300-US-U-31835.01_12
09/26/02 04:47 p	13,881,717	protein_group_710-0004-55300-US-U-31835.01_13
09/26/02 04:47 p	17,139,394	protein_group_710-0004-55300-US-U-31835.01_14
09/26/02 04:47 p	14,568,663	protein_group_710-0004-55300-US-U-31835.01_15
09/26/02 04:47 p	17,242,592	protein_group_710-0004-55300-US-U-31835.01_16
09/26/02 04:47 p	16,262,656	protein_group_710-0004-55300-US-U-31835.01_17
09/26/02 04:47 p	15,432,667	protein_group_710-0004-55300-US-U-31835.01_18
09/26/02 04:48 p	17,255,427	protein_group_710-0004-55300-US-U-31835.01_19
09/26/02 04:48 p	16,933,384	protein_group_710-0004-55300-US-U-31835.01_20
09/26/02 04:48 p	17,384,042	protein_group_710-0004-55300-US-U-31835.01_21
09/26/02 04:48 p	17,437,337	protein_group_710-0004-55300-US-U-31835.01_22
09/26/02 04:48 p	15,803,056	protein_group_710-0004-55300-US-U-31835.01_23
09/26/02 04:48 p	9,103,743	protein_group_710-0004-55300-US-U-31835.01_24
09/26/02 04:48 p	20,987,975	protein_group_matrix.002
09/26/02 04:48 p	20,996,062	protein_group_matrix.003
09/26/02 04:48 p	20,991,903	protein_group_matrix.004
09/26/02 04:48 p	21,008,452	protein_group_matrix.005
09/26/02 04:48 p	20,979,474	protein_group_matrix.006.txt
09/26/02 04:48 p	20,982,002	protein_group_matrix.007.txt
09/26/02 04:48 p	20,979,286	protein_group_matrix.008
09/26/02 04:48 p	20,977,175	protein_group_matrix.009
09/26/02 04:48 p	20,996,897	protein_group_matrix.010
09/26/02 04:48 p	20,998,773	protein_group_matrix.011
09/26/02 04:48 p	20,989,913	protein_group_matrix.012

File Create
Date	File Size	File Name	CD#21
09/26/02	20,989,913	protein_group_matrix.012
04:49 p
09/26/02	20,984,871	protein_group_matrix.013
04:49 p
09/26/02	20,995,487	protein_group_matrix.014
04:49 p
09/26/02	20,993,218	protein_group_matrix.015
04:49 p
09/26/02	20,982,759	protein_group_matrix.016
04:49 p
09/26/02	20,995,412	protein_group_matrix.017.txt
04:49 p
09/26/02	20,996,765	protein_group_matrix.018
04:49 p
09/26/02	20,998,069	protein_group_matrix.019
04:49 p
09/26/02	20,991,626	protein_group_matrix.020
04:49 p
09/26/02	21,017,411	protein_group_matrix.021
04:49 p
09/26/02	20,971,520	protein_group_matrix.022
04:49 p
09/26/02	21,002,303	protein_group_matrix.023
04:49 p
09/26/02	21,016,900	protein_group_matrix.024
04:49 p
09/26/02	20,983,971	protein_group_matrix.025
04:49 p
09/26/02	679,866	protein_group_matrix.026
04:49 p
09/26/02	20,997,864	protein_group_matrix.027.txt
04:49 p
09/26/02	21,002,425	protein_group_matrix.028.txt
04:49 p
09/26/02	20,996,492	protein_group_matrix.029.txt
04:49 p
09/26/02	21,004,685	protein_group_matrix.030
04:49 p
09/26/02	20,954,744	protein_group_matrix.031
04:49 p
09/26/02	21,002,980	protein_group_matrix.032
04:49 p
09/26/02	21,002,381	protein_group_matrix.033
04:49 p
09/26/02	21,003,176	protein_group_matrix.034
04:50 p
09/26/02	21,006,452	protein_group_matrix.035.txt
04:50 p
09/26/02	764,346	protein_group_matrix.036
04:50 p
09/26/02	20,993,554	protein_group_matrix.037
04:50 p
09/26/02	20,996,278	protein_group_matrix.038
04:50 p
09/26/02	21,000,170	protein_group_matrix.039
04:50 p
09/26/02	21,007,057	protein_group_matrix.040
04:50 p
09/26/02	20,998,118	protein_group_matrix.041
04:50 p
09/26/02	20,968,100	protein_group_matrix.042
04:50 p
09/26/02	20,967,514	protein_group_matrix.043
04:50 p

File Create Date	File Size	File Name	CD#22
09/26/02 04:50 p	20,994,697	protein_group_matrix.044
09/26/02 04:50 p	12,436,096	protein_group_matrix.045
09/26/02 04:50 p	20,992,494	protein_group_matrix.046
09/26/02 04:50 p	20,991,030	protein_group_matrix.047
09/26/02 04:50 p	20,994,654	protein_group_matrix.048
09/26/02 04:50 p	20,994,933	protein_group_matrix.049
09/26/02 04:50 p	20,997,676	protein_group_matrix.050
09/26/02 04:50 p	21,029,042	protein_group_matrix.051
09/26/02 04:50 p	20,998,198	protein_group_matrix.052
09/26/02 04:50 p	20,994,259	protein_group_matrix.053
09/26/02 04:51 p	20,967,645	protein_group_matrix.054
09/26/02 04:51 p	21,019,749	protein_group_matrix.055
09/26/02 04:51 p	20,971,520	protein_group_matrix.056
09/26/02 04:51 p	20,997,343	protein_group_matrix.057
09/26/02 04:51 p	21,006,947	protein_group_matrix.058
09/26/02 04:51 p	21,007,310	protein_group_matrix.059
09/26/02 04:51 p	21,001,734	protein_group_matrix.060
09/26/02 04:51 p	21,002,939	protein_group_matrix.061
09/26/02 04:51 p	20,996,086	protein_group_matrix.062
09/26/02 04:51 p	21,011,491	protein_group_matrix.063
09/26/02 04:51 p	20,990,654	protein_group_matrix.064
09/26/02 04:51 p	20,995,322	protein_group_matrix.065
09/26/02 04:51 p	20,994,299	protein_group_matrix.066
09/26/02 04:51 p	21,005,223	protein_group_matrix.067
09/26/02 04:51 p	20,998,064	protein_group_matrix.068
09/26/02 04:51 p	20,995,490	protein_group_matrix.069
09/26/02 04:51 p	20,996,391	protein_group_matrix.070
09/26/02 04:51 p	21,009,903	protein_group_matrix.071
09/26/02 04:52 p	20,999,145	protein_group_matrix.072
09/26/02 04:52 p	21,002,717	protein_group_matrix.073
09/26/02 04:52 p	20,998,662	protein_group_matrix.074

File Create Date	File Size	File Name	CD#23
09/26/02 04:52 p	21,008,124	protein_group_matrix.075
09/26/02 04:52 p	20,999,010	protein_group_matrix.076
09/26/02 04:52 p	20,998,669	protein_group_matrix.077
09/26/02 04:52 p	21,003,843	protein_group_matrix.078
09/26/02 04:52 p	20,996,858	protein_group_matrix.079
09/26/02 04:52 p	21,002,445	protein_group_matrix.080
09/26/02 04:52 p	20,993,350	protein_group_matrix.081
09/26/02 04:52 p	21,003,281	protein_group_matrix.082
09/26/02 04:52 p	20,996,346	protein_group_matrix.083
09/26/02 04:52 p	15,925,561	protein_group_matrix.084
09/26/02 04:52 p	20,995,500	protein_group_matrix.085
09/26/02 04:52 p	20,996,937	protein_group_matrix.086
09/26/02 04:52 p	21,045,738	protein_group_matrix.087
09/26/02 04:52 p	21,000,815	protein_group_matrix.088
09/26/02 04:52 p	21,005,506	protein_group_matrix.089
09/26/02 04:53 p	21,002,870	protein_group_matrix.090
09/26/02 04:53 p	21,004,043	protein_group_matrix.091
09/26/02 04:53 p	20,997,289	protein_group_matrix.092
09/26/02 04:53 p	21,002,299	protein_group_matrix.093
09/26/02 04:53 p	21,005,882	protein_group_matrix.094
09/26/02 04:53 p	20,999,691	protein_group_matrix.095
09/26/02 04:53 p	21,043,968	protein_group_matrix.096
09/26/02 04:53 p	21,000,459	protein_group_matrix.097
09/26/02 04:53 p	21,000,998	protein_group_matrix.098
09/26/02 04:53 p	21,000,456	protein_group_matrix.099
09/26/02 04:53 p	21,002,623	protein_group_matrix.100
09/26/02 04:53 p	21,004,423	protein_group_matrix.101
09/26/02 04:53 p	21,001,020	protein_group_matrix.102
09/26/02 04:53 p	21,019,437	protein_group_matrix.103
09/26/02 04:53 p	20,992,527	protein_group_matrix.104
09/26/02 04:53 p	21,020,507	protein_group_matrix.105

File Create Date	File Size	File Name	CD#24
09/26/02 04:53 p	21,024,971	protein_group_matrix.106
09/26/02 04:53 p	20,971,520	protein_group_matrix.107
09/26/02 04:54 p	20,971,520	protein_group_matrix.108
09/26/02 04:54 p	19,944,050	protein_group_matrix.109
09/26/02 04:54 p	4,424,295	reference.311987.710-0004-55300-US-U-31835.01_01
09/26/02 04:54 p	4,910,698	reference.311987.710-0004-55300-US-U-31835.01_02
09/26/02 04:54 p	5,572,906	reference.311987.710-0004-55300-US-U-31835.01_03
09/26/02 04:54 p	5,612,694	reference.311987.710-0004-55300-US-U-31835.01_04
09/26/02 04:54 p	5,814,130	reference.311987.710-0004-55300-US-U-31835.01_05
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09/26/02 04:56 p	769,647	sequences.3769.710-0004-55300-US-U-31835.01_0a_28
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09/26/02 04:56 p	777,754	sequences.3769.710-0004-55300-US-U-31835.01_0a_30
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File Create Date	File Size	File Name	CD#26
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09/26/02 04:57 p	12,147,523	sequences.3769.710-0004-55300-US-U-31835.01_27
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09/26/02 04:57 p	11,075,770	sequences.3769.710-0004-55300-US-U-31835.01_30
09/26/02 04:57 p	10,207,931	sequences.3769.710-0004-55300-US-U-31835.01_31
09/26/02 04:57 p	10,174,990	sequences.3769.710-0004-55300-US-U-31835.01_32
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09/26/02 04:58 p	352,046	sequences.3769a.710-0004-55300-US-U-31835.01_02
09/26/02 04:58 p	1,010,484	sequences.3769a.710-0004-55300-US-U-31835.01_0a_01
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09/26/02 04:58 p	3,235,900	sequences.3847.710-0004-55300-US-U-31835.01_03
09/26/02 04:58 p	3,425,695	sequences.3847.710-0004-55300-US-U-31835.01_04
09/26/02 04:58 p	3,643,446	sequences.3847.710-0004-55300-US-U-31835.01_05
09/26/02 04:58 p	4,252,932	sequences.3847.710-0004-55300-US-U-31835.01_06
09/26/02 04:58 p	3,247,023	sequences.3847.710-0004-55300-US-U-31835.01_07
09/26/02 04:58 p	4,846,452	sequences.3847.710-0004-55300-US-U-31835.01_08
09/26/02 04:58 p	4,614,464	sequences.3847.710-0004-55300-US-U-31835.01_09
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09/26/02 04:58 p	458,234	sequences.3847.710-0004-55300-US-U-31835.01_0a_03
09/26/02 04:58 p	696,796	sequences.3847.710-0004-55300-US-U-31835.01_0a_04
09/26/02 04:59 p	228,792	stanford_old_new_cdna_map.txt
09/26/02 04:58 p	596,908	sequences.3847.710-0004-55300-US-U-31835.01_0a_05
09/26/02 04:58 p	642,789	sequences.3847.710-0004-55300-US-U-31835.01_0a_06
09/26/02 04:58 p	564,751	sequences.3847.710-0004-55300-US-U-31835.01_0a_07
09/26/02 04:58 p	586,104	sequences.3847.710-0004-55300-US-U-31835.01_0a_08
09/26/02 04:58 p	628,933	sequences.3847.710-0004-55300-US-U-31835.01_0a_09
09/26/02 04:58 p	847,692	sequences.3847.710-0004-55300-US-U-31835.01_0a_10
09/26/02 04:47 p	101,007	Table A.txt
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09/26/02 04:58 p	767,715	sequences.3847.710-0004-55300-US-U-31835.01_0a_15
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09/26/02 04:58 p	4,522,815	sequences.3847.710-0004-55300-US-U-31835.01_12
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09/26/02 04:58 p	3,601,701	sequences.3847.710-0004-55300-US-U-31835.01_20
09/26/02 04:58 p	3,091,397	sequences.3847.710-0004-55300-US-U-31835.01_21
09/26/02 04:58 p	1,123,994	sequences.3847.710-0004-55300-US-U-31835.01_22
09/26/02 04:58 p	495,681	sequences.3847a.710-0004-55300-US-U-31835.01_01
09/26/02 04:58 p	258,859	sequences.3847a.710-0004-55300-US-U-31835.01_0a_01
09/26/02 04:58 p	3,626,862	sequences.4565.710-0004-55300-US-U-31835.01_01
09/26/02 04:58 p	3,662,949	sequences.4565.710-0004-55300-US-U-31835.01_02
09/26/02 04:58 p	3,743,050	sequences.4565.710-0004-55300-US-U-31835.01_03
09/26/02 04:58 p	3,983,838	sequences.4565.710-0004-55300-US-U-31835.01_04
09/26/02 04:58 p	4,326,730	sequences.4565.710-0004-55300-US-U-31835.01_05
09/26/02 04:58 p	3,784,061	sequences.4565.710-0004-55300-US-U-31835.01_06
09/26/02 04:58 p	3,748,537	sequences.4565.710-0004-55300-US-U-31835.01_07
09/26/02 04:58 p	3,625,564	sequences.4565.710-0004-55300-US-U-31835.01_08
09/26/02 04:58 p	3,830,042	sequences.4565.710-0004-55300-US-U-31835.01_09
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09/26/02 04:58 p	530,595	sequences.4565.710-0004-55300-US-U-31835.01_0a_02
09/26/02 04:58 p	471,281	sequences.4565.710-0004-55300-US-U-31835.01_0a_03
09/26/02 04:59 p	1,476	Single gene functions and utilities (1).txt
09/26/02 04:58 p	475,567	sequences.4565.710-0004-55300-US-U-31835.01_0a_04
09/26/02 04:58 p	647,920	sequences.4565.710-0004-55300-US-U-31835.01_0a_05
09/26/02 04:58 p	632,762	sequences.4565.710-0004-55300-US-U-31835.01_0a_06
09/26/02 04:58 p	594,368	sequences.4565.710-0004-55300-US-U-31835.01_0a_07
09/26/02 04:58 p	504,573	sequences.4565.710-0004-55300-US-U-31835.01_0a_08
09/26/02 04:58 p	598,828	sequences.4565.710-0004-55300-US-U-31835.01_0a_09
09/26/02 04:58 p	381,699	sequences.4565.710-0004-55300-US-U-31835.01_0a_10
09/26/02 04:58 p	386,943	sequences.4565.710-0004-55300-US-U-31835.01_0a_11
09/26/02 04:58 p	393,875	sequences.4565.710-0004-55300-US-U-31835.01_0a_12
09/26/02 04:58 p	639,616	sequences.4565.710-0004-55300-US-U-31835.01_0a_13
09/26/02 04:58 p	708,494	sequences.4565.710-0004-55300-US-U-31835.01_0a_14
09/26/02 04:58 p	581,321	sequences.4565.710-0004-55300-US-U-31835.01_0a_15
09/26/02 04:58 p	574,196	sequences.4565.710-0004-55300-US-U-31835.01_0a_16
09/26/02 04:58 p	586,317	sequences.4565.710-0004-55300-US-U-31835.01_0a_17
09/26/02 04:58 p	163,869	sequences.4565.710-0004-55300-US-U-31835.01_0a_18
09/26/02 04:58 p	3,828,923	sequences.4565.710-0004-55300-US-U-31835.01_10
09/26/02 04:58 p	3,727,397	sequences.4565.710-0004-55300-US-U-31835.01_11
09/26/02 04:58 p	3,917,627	sequences.4565.710-0004-55300-US-U-31835.01_12
09/26/02 04:59 p	2,223	Single gene functions and utilities (2).txt
09/26/02 04:58 p	3,947,258	sequences.4565.710-0004-55300-US-U-31835.01_13
09/26/02 04:59 p	3,899,956	sequences.4565.710-0004-55300-US-U-31835.01_14
09/26/02 04:59 p	3,621,049	sequences.4565.710-0004-55300-US-U-31835.01_15
09/26/02 04:59 p	3,357,451	sequences.4565.710-0004-55300-US-U-31835.01_16
09/26/02 04:59 p	3,161,282	sequences.4565.710-0004-55300-US-U-31835.01_17
09/26/02 04:59 p	752,673	sequences.4565.710-0004-55300-US-U-31835.01_18
09/26/02 04:59 p	540,193	sequences.4565a.710-0004-55300-US-U-31835.01_01
09/26/02 04:59 p	169,822	sequences.4565a.710-0004-55300-US-U-31835.01_0a_01
09/26/02 04:59 p	905	Single gene functions and utilities (3).txt
09/26/02 04:59 p	1,517	Single gene functions and utilities (4).txt
09/26/02 04:59 p	4,626	Single gene functions and utilities (5).txt
09/26/02 04:59 p	4,887	Single gene functions and utilities (6).txt
09/26/02 04:59 p	7,456	Single gene functions and utilities (7).txt
09/26/02 04:59 p	9,339	Single gene functions and utilities (8).txt

File Create Date	File Size	File Name	CD#27
08/22/01 05:03 p	35,153	Cluster Functions and Utilities (01).txt
08/22/01 05:04 p	40,447	Cluster Functions and Utilities (02).txt
08/22/01 05:04 p	4,473	Cluster Functions and Utilities (03).txt
08/22/01 05:05 p	7,820	Cluster Functions and Utilities (04).txt
08/22/01 05:05 p	24,047	Cluster Functions and Utilities (05).txt
08/22/01 05:06 p	18,490	Cluster Functions and Utilities (06).txt
08/22/01 05:11 p	36,273	Cluster functions and utilities (07).txt
08/22/01 04:17 p	33,962	Cluster Functions and Utilities (08).txt
08/22/01 04:16 p	23,000	Cluster functions and utilities (09).txt
08/21/01 09:47 p	2,691	Cluster functions and utilities (10).txt
08/21/01 09:47 p	2,290	Cluster functions and utilities (11).txt
08/22/01 05:25 p	23,740	Cluster Funtions and Utilities (12).txt
08/22/01 03:14 p	331,616	enhanced_amino.txt
08/20/01 01:44 p	13,132,268	gb_only_peptides.fasta
08/21/01 03:28 p	392,675	knock_in.710-0004-55300-US-U-31835_01.txt
08/14/01 07:12 p	831,736	knock_out.710-0004-55300-US-U-31835.01
08/20/01 11:56 a	16,635,460	ma_clusters.710-0004-55300-US-U-31835.01
08/21/01 02:09 p	55,307	ma_diff Aluminum.txt
08/21/01 02:10 p	27,557	ma_diff Axel.txt
08/21/01 02:13 p	41,505	ma_diff Cadium .txt
08/21/01 02:51 p	53,938	ma_diff Cauliflower .txt
08/21/01 02:50 p	98,775	ma_diff Chloroplast.txt
08/21/01 02:50 p	160,542	ma_diff Circadian 1-02.txt
08/21/01 02:50 p	127,498	ma_diff Circadian 1-03.txt
08/21/01 02:51 p	166,158	ma_diff Circadian 1-04.txt
08/21/01 02:50 p	141,971	ma_diff Circadian 1-01.txt
08/21/01 02:52 p	56,536	ma_diff Circadian 1-05.txt
08/21/01 02:52 p	121,178	ma_diff Circadian 1-06.txt
08/21/01 02:52 p	133,389	ma_diff Circadian 1-07.txt
08/21/01 02:52 p	259,096	ma_diff Circadian 1-08.txt
08/21/01 02:52 p	228,222	ma_diff Circadian 1-09.txt
08/21/01 02:53 p	54,526	ma_diff Circadian 1-10.txt
08/21/01 02:53 p	134,759	ma_diff CO2 1-1.txt
08/21/01 02:53 p	241,865	ma_diff CO2 1-2.txt
08/21/01 02:54 p	63,264	ma_diff CO2 1-3.txt
08/21/01 02:54 p	59,530	ma_diff CO2 1-4.txt
08/21/01 02:54 p	372,633	ma_diff CO2 1-5.txt
08/21/01 02:54 p	9,220	ma_diff Disease .txt
08/21/01 02:54 p	25,114	ma_diff H2O2 .txt
08/21/01 02:55 p	4,073	ma_diff Iol .txt
08/21/01 02:55 p	283,026	ma_diff Iron 1-1.txt
08/21/01 02:55 p	90,890	ma_diff Iron 1-2.txt
08/21/01 02:55 p	51,342	ma_diff Mitochondria-Electron Transp.txt
08/21/01 02:55 p	107,920	ma_diff NAA (Auxin) 1-1.txt
08/21/01 02:55 p	50,267	ma_diff NAA (Auxin) 1-2.txt
08/21/01 02:55 p	67,291	ma_diff Nitrogen.txt
08/21/01 02:56 p	6,441	ma_diff Phototropism 1-1.txt
08/21/01 02:56 p	22,229	ma_diff Phototropism 1-2.txt
08/21/01 02:56 p	28,270	ma_diff Phototropism 1-3.txt
08/21/01 02:56 p	45,620	ma_diff Shade.txt
08/21/01 02:56 p	73,438	ma_diff Sqn.txt
08/21/01 02:56 p	3,828	ma_diff Sulfur.txt
08/21/01 02:56 p	67,949	ma_diff Wounding.txt
08/21/01 02:57 p	30,836	ma_diff Zinc.txt
08/21/01 03:54 p	4,318,956	ma_diff.710-0004-55300-US-U-31835.01
08/10/01 03:06 p	2,752,459	Protein Domain Table.txt
08/22/01 10:53 a	14,778,004	protein_group_710-0004-55300-US-U-31835.01_01
08/21/01 05:29 p	12,953,488	protein_group_710-0004-55300-US-U-31835.01_02
08/21/01 05:49 p	12,866,803	protein_group_710-0004-55300-US-U-31835.01_03
08/21/01 06:15 p	15,451,084	protein_group_710-0004-55300-US-U-31835.01_04
08/20/01 03:33 p	228,792	stanford_old_new_cdna_map.txt
08/21/01 06:40 p	13,753,735	protein_group_710-0004-55300-US-U-31835.01_05
08/21/01 07:14 p	17,503,319	protein_group_710-0004-55300-US-U-31835.01_06
08/21/01 07:53 p	16,376,099	protein_group_710-0004-55300-US-U-31835.01_07
08/21/01 08:22 p	13,390,661	protein_group_710-0004-55300-US-U-31835.01_08
08/21/01 09:05 p	14,328,338	protein_group_710-0004-55300-US-U-31835.01_09
08/21/01 09:52 p	12,595,465	protein_group_710-0004-55300-US-U-31835.01_10
08/21/01 10:51 p	14,577,180	protein_group_710-0004-55300-US-U-31835.01_11
08/21/01 11:29 p	15,580,727	protein_group_710-0004-55300-US-U-31835.01_12
08/22/01 12:01 a	13,881,717	protein_group_710-0004-55300-US-U-31835.01_13
08/22/01 12:25 a	17,139,394	protein_group_710-0004-55300-US-U-31835.01_14
08/22/01 12:47 a	14,568,663	protein_group_710-0004-55300-US-U-31835.01_15
08/22/01 01:11 a	17,242,592	protein_group_710-0004-55300-US-U-31835.01_16
08/22/01 01:34 a	16,262,656	protein_group_710-0004-55300-US-U-31835.01_17
08/22/01 01:56 a	15,432,667	protein_group_710-0004-55300-US-U-31835.01_18
08/22/01 02:21 a	17,255,427	protein_group_710-0004-55300-US-U-31835.01_19
08/22/01 02:44 a	16,933,384	protein_group_710-0004-55300-US-U-31835.01_20
08/22/01 03:07 a	17,384,042	protein_group_710-0004-55300-US-U-31835.01_21
08/22/01 03:31 a	17,437,337	protein_group_710-0004-55300-US-U-31835.01_22
08/22/01 03:53 a	15,803,056	protein_group_710-0004-55300-US-U-31835.01_23
08/22/01 04:05 a	9,103,743	protein_group_710-0004-55300-US-U-31835.01_24
08/22/01 05:01 p	1,476	Single gene functions and utilities (1).txt
08/22/01 05:01 p	2,223	Single gene functions and utilities (2).txt
08/22/01 05:02 p	905	Single gene functions and utilities (3).txt
08/22/01 05:03 p	1,517	Single gene functions and utilities (4).txt
08/22/01 05:07 p	4,626	Single gene functions and utilities (5).txt
08/22/01 04:57 p	4,887	Single gene functions and utilities (6).txt
08/22/01 04:57 p	7,456	Single gene functions and utilities (7).txt
08/22/01 05:06 p	9,339	Single gene functions and utilities (8).txt

File Create
Date	File Size	File Name	CD#28
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08:15 p
08/21/01	20,987,975	protein_group_matrix.002
08:22 p
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08:32 p
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08:34 p
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08:38 p
08/21/01	20,982,002	protein_group_matrix.007.txt
08:38 p
08/21/01	20,979,286	protein_group_matrix.008
08:41 p
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08:41 p
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08:44 p
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08:45 p
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08:48 p
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08:49 p
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08:50 p
08/21/01	20,995,412	protein_group_matrix.017.txt
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08:53 p
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06:38 p
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09:01 p
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08/21/01	20,997,864	protein_group_matrix.027.txt
09:04 p
08/21/01	21,002,425	protein_group_matrix.028.txt
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09:13 p

File Create
Date	File Size	File Name	CD#29
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09:14 p
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09:15 p
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FIELD OF THE INVENTION

The present invention relates to over 100,000 isolated polynucleotides from plants that include a complete coding sequence, or a fragment thereof, that is expressed. In addition, the present invention relates to the polypeptide or protein corresponding to the coding sequence of these polynucleotides. The present invention also relates to isolated polynucleotides that represent regulatory regions of genes. The present invention also relates to isolated polynucleotides that represent untranslated regions of genes. The present invention further relates to the use of these isolated polynucleotides and polypeptides and proteins.

BACKGROUND OF THE INVENTION

There are more than 300,000 species of plants. They show a wide diversity of forms, ranging from delicate liverworts, adapted for life in a damp habitat, to cacti, capable of surviving in the desert. The plant kingdom includes herbaceous plants, such as corn, whose life cycle is measured in months, to the giant redwood tree, which can live for thousands of years. This diversity reflects the adaptations of plants to survive in a wide range of habitats. This is seen most clearly in the flowering plants (phylum Angiospermophyta), which are the most numerous, with over 250,000 species. They are also the most widespread, being found from the tropics to the arctic.

The process of plant breeding involving man's intervention in natural breeding and selection is some 20,000 years old. It has produced remarkable advances in adapting existing species to serve new purposes. The world's economics was largely based on the successes of agriculture for most of these 20,000 years.

Plant breeding involves choosing parents, making crosses to allow recombination of gene (alleles) and searching for and selecting improved forms. Success depends on the genes/alleles available, the combinations required and the ability to create and find the correct combinations necessary to give the desired properties to the plant. Molecular genetics technologies are now capable of providing new genes, new alleles and the means of creating and selecting plants with the new, desired characteristics.

When the molecular and genetic basis for different plant characteristics are understood, a wide variety of polynucleotides, both endogenous polynucleotides and created variants, polypeptides, cells, and whole organisms, can be exploited to engineer old and new plant traits in a vast range of organisms including plants. These traits can range from the observable morphological characteristics, through adaptation to specific environments to biochemical composition and to molecules that the plants (organisms) exude. Such engineering can involve tailoring existing traits, such as increasing the production of taxol in yew trees, to combining traits from two different plants into a single organism, such as inserting the drought tolerance of a cactus into a corn plant. Molecular and genetic knowledge also allows the creation of new traits. For example, the production of chemicals and pharmaceuticals that are not native to particular species or the plant kingdom as a whole.

The application reports the inventions Applicants have discovered to build a foundation of scientific understanding of plant genomes to achieve these aims. These inventions include polynucleotide and polypeptide sequences, and data relating to where and when the genes are differentially expressed and phenotypic observations resulting from either aberrant gene activation or disruption. How these data are transformed into a scientific understanding of plant biology and the control of traits from a genetic perspective also is explained by the instant application. Applications of these discoveries to create new prototypes and products in the field of chemical, pharmaceutical, food, feed, and fiber production are described herein as well.

The achievements described in this application were possible because of the results from a cluster of technologies, a genomic engine, depicted below in FIG. 1, that allows information on each gene to be integrated to provide a more comprehensive understanding of gene structure and function and the deployment of genes and gene components to make new products.

I. The Discoveries of the Instant Application

Applicants have isolated and identified over one hundred thousand genes, gene components and their products and thousands of promoters. Specific genes were isolated and/or characterized from arabidopsis, soybean, maize, wheat and rice. These species were selected because of their economic value and scientific importance and were deliberately chosen to include representatives of the evolutionary divergent dicotyledonous and monocotyledonous groups of the plant kingdom. The number of genes characterized in this application represents a large proportion of all the genes in these plant species.

The techniques used initially to isolate and characterize most of the genes, namely sequencing of full-length cDNAs, were deliberately chosen to provide information on complete coding sequences and on the complete sequences of their protein products.

Gene components and products the Applicants have identified include exons, introns, promoters, coding sequences, antisense sequences, terminators and other regulatory sequences. The exons are characterized by the proteins they encode and arabidopsis promoters are characterized by their position in the genomic DNA relative to where mRNA synthesis begins and in what cells and to what extent they promote mRNA synthesis. Further exploitation of molecular genetics technologies has helped the Applicants to understand the functions and characteristics of each gene and their role in a plant. Three powerful molecular genetics approaches were used to this end:

• • (a) Analyses of the phenotypic changes when the particular gene sequence is interrupted or activated differentially; (arabidopsis)
  • (b) Analyses of in what plant organs, to what extent, and in response to what environmental signals mRNA is synthesized from the gene; (arabidopsis and maize) and
  • (c) Analysis of the gene sequence and its relatives. (all species)

These were conducted using the genomics engine depicted in FIG. 1 that allows information on each gene to be integrated to provide a more comprehensive understanding of gene structure and function and linkage to potential products.

The species arabidopsis was used extensively in these studies for several reasons: (1) the complete genomic sequence, though poorly annotated in terms of gene recognition, was being produced and published by others and (2) genetic experiments to determine the role of the genes in planta are much quicker to complete.

The phenotypic tables, MA tables, and reference tables and sequence tables indicate the results of these analyses and thus the specific functions and characteristics that are ascribed to the genes and gene components and products.

II. Integration of Discoveries to Provide Scientific Understanding

From the discoveries made, Applicants have deduced the biochemical activities, pathways, cellular roles, and developmental and physiological processes that can be modulated using these components. These are discussed and summarized in sections based on the gene functions characteristics from the analyses and role in determining phenotypes. These sections illustrate and emphasize that each gene, gene component or product influences biochemical activities, cells or organisms in complex ways, from which there can be many phenotypic consequences.

An illustration of how the discoveries on gene structure, function, expression and phenotypic observation can be integrated together to understand complex phenotypes is provided in FIG. 2. This sort of understanding enables conclusions to be made as to how the genes, gene components and product are useful for changing the properties of plants and other organisms. This example also illustrates how single gene changes in, for example, a metabolic pathway can cause gross phenotypic changes.

Furthermore, the development and properties of one part of plant can be interconnected with other parts. The dependence of shoot and leaf development on root cells is a classic example. Here, shoot growth and development require nutrients supplied from roots, so the protein complement of root cells can affect plant development, including flowers and seed production. Similarly, root development is dependent on the products of photosynthesis from leaves. Therefore, proteins in leaves can influence root developmental physiology and biochemistry.

Thus, the following sections describe both the functions and characteristics of the genes, gene components and products and also the multiplicity of biochemical activities, cellular functions, and the developmental and physiological processes influenced by them. The sections also describe examples of commercial products that can be realized from the inventions.

A. Analyses to Reveal Function and In Vivo Roles of Single Genes in One Plant Species

The genomics engine has focused on individual genes to reveal the multiple functions or characteristics that are associated to each gene, gene components and products of the instant invention in the living plant. For example, the biochemical activity of a protein is deduced based on its similarity to a protein of known function. In this case, the protein may be ascribed with, for example, an oxidase activity. Where and when this same protein is active can be uncovered from differential expression experiments, which show that the mRNA encoding the protein is differentially expressed in response to drought and in seeds but not roots. The gene disruption experiments reveal that absence of the same protein causes embryo lethality.

Thus, this protein is characterized as a seed protein and drought-responsive oxidase that is critical for embryo viability.

B. Analyses to Reveal Function and Roles of Single Genes in Different Species

The genomics engine has also been used to extrapolate knowledge from one species to many plant species. For example, proteins from different species, capable of performing identical or similar functions, preserve many features of amino acid sequence and structure during evolution. Complete protein sequences have been compared and contrasted within and between species to determine the functionally vital domains and signatures characteristic of each of the proteins that is the subject of this application. Thus, functions and characteristics of arabidopsis proteins have been extrapolated to proteins containing similar domains and signatures of corn, soybean, rice and wheat and by implication to all other (plant) species.

FIG. 3 provides an example. Two proteins with related structures, one from corn, a monocot, and one from arabidopsis, a dicot, have been concluded to be orthologs. The known characteristics of the arabidopsis protein (seed protein, drought responsive oxidase) can then be attributed to the corn protein.

C. Analyses Over Multiple Experiments to Reveal Gene Networks and Links Across Species

The genomics engine can identify networks or pathways of genes concerned with the same process and hence linked to the same phenotype(s). Genes specifying functions of the same pathway or developmental environmental responses are frequently co-regulated i.e. they are regulated by mechanisms that result in coincident increases or decreases for all gene members in the group. The Applicants have divided the genes of arabidopsis and maize into such co-regulated groups on the basis of their expression patterns and the function of each group has been deduced. This process has provided considerable insight into the function and role of thousands of the plant genes in diverse species included in this application.

D. Applications of Applicant's Discoveries

It will be appreciated while reading the sections that the different experimental molecular genetic approaches focused on different aspects of the pathway from gene and gene product through to the properties of tissues, organs and whole organisms growing in specific environments. For each endogenous gene, these pathways are delineated within the existing biology of the species. However, Applicants' inventions allow gene components or products to be mixed and matched to create new genes and placed in other cellular contexts and species, to exhibit new combinations of functions and characteristics not found in nature, or to enhance and modify existing ones. For instance, gene components can be used to achieve expression of a specific protein in a new cell type to introduce new biochemical activities, cellular attributes or developmental and physiological processes. Such cell-specific targeting can be achieved by combining polynucleotides encoding proteins with any one of a large array of promoters to facilitate synthesis of proteins in a selective set of plant cells. This emphasizes that each gene, component and protein can be used to cause multiple and different phenotypic effects depending on the biological context. The utilities are therefore not limited to the existing in vivo roles of the genes, gene components, and gene products.

While the genes, gene components and products disclosed herein can act alone, combinations are useful to modify or modulate different traits. Useful combinations include different polynucleotides and/or gene components or products that have (1) an effect in the same or similar developmental or biochemical pathways; (2) similar biological activities; (3) similar transcription profiles; or (4) similar physiological consequences.

Of particular interest are the transcription factors and key factors in regulatory transduction pathways, which are able to control entire pathways, segments of pathways or large groups of functionally related genes. Therefore, manipulation of such proteins, alone or in combination is especially useful for altering phenotypes or biochemical activities in plants. Because interactions exist between hormone, nutrition, and developmental pathways, combinations of genes and/or gene products from these pathways also are useful to produce more complex changes. In addition to using polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may exhibit different transcription profiles but which participate in common or overlapping pathways. Also, polynucleotides encoding selected enzymes can be combined in novel ways in a plant to create new metabolic pathways and hence new metabolic products.

The utilities of the various genes, gene components and products of the Application are described below in the sections entitled as follows:

I. Organ Affecting Genes, Gene Components, Products (Including Differentiation Function)

I.A. Root Genes, Gene Components And Products

• • I.A.1. Root Genes, Gene Components And Products
  • I.A.2. Root Hair Genes, Gene Components And Products

I.B. Leaf Genes, Gene Components And Products

• • I.B.1. Leaf Genes, Gene Components And Products
  • I.B.2. Trichome Genes And Gene Components
  • I.B.3. Chloroplast Genes And Gene Components

I.C. Reproduction Genes, Gene Components And Products

• • I.C.1. Reproduction Genes, Gene Components And Products
  • I.C.2. Ovule Genes, Gene Components And Products
  • I.C.3. Seed And Fruit Development Genes, Gene Components And Products

I.D. Development Genes, Gene Components And Products

• • I.D.1. Imbibition and Germination Responsive Genes, Gene Components And Products
  • I.D.2. Early Seedling Phase Genes, Gene Components And Products
  • I.D.3. Size and Stature Genes, Gene Components And Products
  • I.D.4. Shoot-Apical Meristem Genes, Gene Components And Products
  • I.D.5. Vegetative-Phase Specific Responsive Genes, Gene Components And Products

II. Hormones Responsive Genes, Gene Components And Products

II.A. Abscissic Acid Responsive Genes, Gene Components And Products

II.B. Auxin Responsive Genes, Gene Components And Products

II.C. Brassinosteroid Responsive Genes, Gene Components And Products

II.D. Cytokinin Responsive Genes, Gene Components And Products

II.E. Gibberellic Acid Responsive Genes, Gene Components And Products

III. Metabolism Affecting Genes, Gene Components And Products

III.A. Nitrogen Responsive Genes, Gene Components And Products

III.B. Circadian Rhythm Responsive Genes, Gene Components And Products

III.C. Blue Light (Phototropism) Responsive Genes, Gene Components And Products

III.D. Co2 Responsive Genes, Gene Components And Products

III.E. Mitochondria Electron Transport Genes, Gene Components And Products

III.F. Protein Degradation Genes, Gene Components And Products

III.G. Carotenogenesis Responsive Genes, Gene Components And Products

IV. Viability Genes, Gene Components And Products

IV.A. Viability Genes, Gene Components And Products

IV.B. Histone Deacetylase (Axel) Responsive Genes, Gene Components And Products

V. Stress Responsive Genes, Gene Components And Products

V.A. Cold Responsive Genes, Gene Components And Products

V.B. Heat Responsive Genes, Gene Components And Products

V.C. Drought Responsive Genes, Gene Components And Products

V.D. Wounding Responsive Genes, Gene Components And Products

V.E. Methyl Jasmonate Responsive Genes, Gene Components And Products

V.F. Reactive Oxygen Responsive Genes, Gene Components And H2O2 Products

V.G. Salicylic Acid Responsive Genes, Gene Components And Products

V.H. Nitric Oxide Responsive Genes, Gene Components And Products

V.I. Osmotic Stress Responsive Genes, Gene Components And Products

V.J. Aluminum Responsive Genes, Gene Components And Products

V.K. Cadmium Responsive Genes, Gene Components And Products

V.L. Disease Responsive Genes, Gene Components And Products

V.M. Defense Responsive Genes, Gene Components And Products

V.N. Iron Responsive Genes, Gene Components And Products

V.O. Shade Responsive Genes, Gene Components And Products

V.P. Sulfur Responsive Genes, Gene Components And Products

V.Q. Zinc Responsive Genes, Gene Components And Products

VI. Enhanced Foods

VII. Pharmaceutical Products

VIII. Precursors Of Industrial Scale Compounds

IX. Promoters As Sentinels

SUMMARY OF THE INVENTION

The present invention comprises polynucleotides, such as complete cDNA sequences and/or sequences of genomic DNA encompassing complete genes, fragments of genes, and/or regulatory elements of genes and/or regions with other functions and/or intergenic regions, hereinafter collectively referred to as Sequence-Determined DNA Fragments (SDFs) or sometimes collectively referred to as “genes or gene components”, or sometimes as “genes, gene components or products”, from different plant species, particularly corn, wheat, soybean, rice and Arabidopsis thaliana, and other plants and or mutants, variants, fragments or fusions of said SDFs and polypeptides or proteins derived therefrom. In some instances, the SDFs span the entirety of a protein-coding segment. In some instances, the entirety of an mRNA is represented. Other objects of the invention that are also represented by SDFs of the invention are control sequences, such as, but not limited to, promoters. Complements of any sequence of the invention are also considered part of the invention.

Other objects of the invention are polynucleotides comprising exon sequences, polynucleotides comprising intron sequences, polynucleotides comprising introns together with exons, intron/exon junction sequences, 5′ untranslated sequences, and 3′ untranslated sequences of the SDFs of the present invention. Polynucleotides representing the joinder of any exons described herein, in any arrangement, for example, to produce a sequence encoding any desirable amino acid sequence are within the scope of the invention.

The present invention also resides in probes useful for isolating and identifying nucleic acids that hybridize to an SDF of the invention. The probes can be of any length, but more typically are 12-2000 nucleotides in length; more typically, 15 to 200 nucleotides long; even more typically, 18 to 100 nucleotides long.

Yet another object of the invention is a method of isolating and/or identifying nucleic acids using the following steps:

(a) contacting a probe of the instant invention with a polynucleotide sample under conditions that permit hybridization and formation of a polynucleotide duplex; and

(b) detecting and/or isolating the duplex of step (a).

The conditions for hybridization can be from low to moderate to high stringency conditions. The sample can include a polynucleotide having a sequence unique in a plant genome. Probes and methods of the invention are useful, for example, without limitation, for mapping of genetic traits and/or for positional cloning of a desired fragment of genomic DNA.

Probes and methods of the invention can also be used for detecting alternatively spliced messages within a species. Probes and methods of the invention can further be used to detect or isolate related genes in other plant species using genomic DNA (gDNA) and/or cDNA libraries. In some instances, especially when longer probes and low to moderate stringency hybridization conditions are used, the probe will hybridize to a plurality of cDNA and/or gDNA sequences of a plant. This approach is useful for isolating representatives of gene families which are identifiable by possession of a common functional domain in the gene product or which have common cis-acting regulatory sequences. This approach is also useful for identifying orthologous genes from other organisms.

The present invention also resides in constructs for modulating the expression of the genes comprised of all or a fragment of an SDF. The constructs comprise all or a fragment of the expressed SDF, or of a complementary sequence. Examples of constructs include ribozymes comprising RNA encoded by an SDF or by a sequence complementary thereto, antisense constructs, constructs comprising coding regions or parts thereof, constructs comprising promoters, introns, untranslated regions, scaffold attachment regions, methylating regions, enhancing or reducing regions, DNA and chromatin conformation modifying sequences, etc. Such constructs can be constructed using viral, plasmid, bacterial artificial chromosomes (BACs), plasmid artificial chromosomes (PACs), autonomous plant plasmids, plant artificial chromosomes or other types of vectors and exist in the plant as autonomous replicating sequences or as DNA integrated into the genome. When inserted into a host cell the construct is, preferably, functionally integrated with, or operatively linked to, a heterologous polynucleotide. For instance, a coding region from an SDF might be operably linked to a promoter that is functional in a plant.

The present invention also resides in host cells, including bacterial or yeast cells or plant cells, and plants that harbor constructs such as described above. Another aspect of the invention relates to methods for modulating expression of specific genes in plants by expression of the coding sequence of the constructs, by regulation of expression of one or more endogenous genes in a plant or by suppression of expression of the polynucleotides of the invention in a plant. Methods of modulation of gene expression include without limitation (1) inserting into a host cell additional copies of a polynucleotide comprising a coding sequence; (2) modulating an endogenous promoter in a host cell; (3) inserting antisense or ribozyme constructs into a host cell and (4) inserting into a host cell a polynucleotide comprising a sequence encoding a variant, fragment, or fusion of the native polypeptides of the instant invention.

DETAILED DESCRIPTION OF THE INVENTION

I. Description of the Tables

As noted above, the Applicants have obtained and analyzed an extensive amount of information on a large number of genes by use of the Ceres Genomic Engine to determine. This information can be categorized into three basic types:

A. Sequence Information for the Inventions

B. Transcriptional Information for the Inventions

C. Phenotypic Information for the Inventions

I.A. Sequence Information

To harness the potential of the plant genome, Applicants began by elucidating a large number gene sequences, including the sequences of gene components and products, and analyzing the data. The list of sequences and associated data are presented in the Reference and Sequence Tables of the present application (sometimes referred to as the “REF” and “SEQ” Tables). The Reference and Sequence tables include:

• • cDNA sequence;
  • coding sequence;
  • 5′ & 3′ UTR;
  • transcription start sites;
  • exon and intron boundaries in genomic sequence; and
  • protein sequence.

The Reference and Sequence Tables also include computer-based, comparative analyses between the protein sequences of the invention and sequences with known function. Proteins with similar sequences typically exhibit similar biochemical activities. The Reference table notes:

• • sequences of known function that are similar to the Applicants' proteins; and
  • biochemical activity that is associated with Applicants' proteins.

Also, by analyzing the protein sequences, Applicants were able to group the protein sequences into groups, wherein all the sequences in the group contain a signature sequence. The groups are presented in the Protein Group Table. The signature sequences are reported in the Protein Group Table. More detailed analyses of the signature sequences are shown in the Protein Group Matrix Table.

To identify gene components and products, Applicants took a cDNA/coding sequence approach. That is, Applicants initiated their studies either by isolating cDNAs and determining their sequences experimentally, or by identifying the coding sequence from genomic sequence with the aid of predictive algorithms. The cDNA sequences and coding sequences also are referred to as “Maximum Length Sequences” in the Reference tables. The cDNA and coding sequences were given this designation to indicate these were the maximum length of coding sequences identified by Applicants.

Due to this cDNA/coding sequence focus of the present application, the Reference and Sequence Tables were organized around cDNA and coding sequences. Each of these Maximum Length Sequences was assigned a unique identifier: Ceres Sequence ID NO, which is reported in the Tables.

All data that relate to these Maximum Length Sequences are grouped together, including 5′ & 3′ UTRs; transcription start sites; exon and intron boundaries in genomic sequence; protein sequence, etc.

Below, a more detailed explanation of the organization of the Reference and Sequence Tables and how the data in the tables were generated is provided.

a. cDNA

Applicants have ascertained the sequences of mRNAs from different organisms by reverse transcription of mRNA to DNA, which was cloned and then sequenced. These complementary DNA or cDNA sequences also are referred to as Maximum Length Sequences in the Reference Tables, which contain details on each of the sequences in the Sequence Tables.

Each sequence was assigned a Pat. Appln. Sequence ID NO: and an internal Ceres Sequence ID NO: as reported in the Reference Table, the section labeled “(Ac) cDNA Sequence.” An example is shown below:

Max Len. Seq.:

(Ac) cDNA Sequence

• • Pat. Appln. Sequence ID NO: 174538
  • Ceres Sequence ID NO: 5673127

Both numbers are included in the Sequence Table to aid in tracking of information, as shown below:

<210> 174538 (Pat. Appln. Sequence ID NO:)
<211> 1846
<212> DNA (genomic)
<213> Arabidopsis thaliana
<220>
<221> misc_feature
<222> (1) . . . (1846)
<223> Ceres Seq. ID no. 5673127
<220>
<221> misc_feature
<222> () . . . ()
<223> n is a, c, t, g, unknown, or other
<400> 174538
acaagaacaa caaaacagag gaagaagaag aagaagatga agcttctggc tctgtttcca 60
tttctagcga tcgtgatcca actcagctgt . . . etc.

The Sequence and Reference Tables are divided into sections by organism: Arabidopsis thaliana, Brassica napus, Glycine max, Zea mays, Triticum aestivum; and Oryza sativa.

b. Coding Sequence

The coding sequence portion of the cDNA was identified by using computer-based algorithms and comparative biology. The sequence of each coding sequence of the cDNA is reported in the “PolyP Sequence” section of the Reference Tables, which are also divided into sections by organism. An example shown below for the peptides that relate to the cDNA sequence above

PolyP Sequence

• • Pat. Appln. Sequence ID NO 174539
  • Ceres Sequence ID NO 5673128
  • Loc. Sequence ID NO 174538: @ 1 nt.
  • Loc. Sig. P. Sequence ID NO 174539: @ 37 aa.The polypeptide sequence can be found in the Sequence Tables by either the Pat. Appln. Sequence ID NO or by the Ceres Sequence ID NO: as shown below:

<210> 174539 (Pat. Appln. Sequence ID NO)
<211> 443
<212> PRT
<213> Arabidopsis thaliana
<220>
<221> peptide
<222> (1) . . . (443)
<223> Ceres Seq. ID no. 5673128
<220>
<221> misc_feature
<222> () . . . ()
<223> xaa is any aa, unknown or other
<400> 174539
Thr Arg Thr Thr Lys Gln Arg Lys Lys Lys Lys Lys Met Lys Leu Leu
1        5            10          15
Ala Leu Phe Pro Phe Leu Ala Ile . . . etc.
25

The PolyP section also indicates where the coding region begins in the Maximum Length Sequence. More than one coding region may be indicated for a single polypeptide due to multiple potential translation start codons. Coding sequences were identified also by analyzing genomic sequence by predictive algorithms, without the actual cloning of a cDNA molecule from a mRNA. By default, the cDNA sequence was considered the same as the coding sequence, when Maximum Length Sequence was spliced together from a genomic annotation.

c. 5′ and 3′ UTR

The 5′ UTR can be identified as any sequence 5′ of the initiating codon of the coding sequence in the cDNA sequence. Similarly, the 3′ UTR is any sequence 3′ of the terminating codon of the coding sequence.

d. Transcription Start Sites

Applicants cloned a number of cDNAs that encompassed the same coding sequence but comprised 5′ UTRs of different lengths. These different lengths revealed the multiple transcription start sites of the gene that corresponded to the cDNA. These multiple transcription start sites are reported in the “Sequence # w. TSS” section” of the Reference Tables.

e. Exons & Introns

Alignment of the cDNA sequences and coding portions to genomic sequence permitted Applicants to pinpoint the exon/intron boundaries. These boundaries are identified in the Reference Table under the “Pub gDNA” section. That section reports the gi number of the public BAC sequence that contains the introns and exons of interest. An example is shown below:

Max Len. Seq.:

Pub gDNA:

• • gi No: 1000000005
  • Gen. seq. in cDNA:
    • 115777 . . . 115448 by Method #1
    • 115105 . . . 114911 by Method #1
    • 114822 . . . 114700 by Method #1
    • 114588 . . . 114386 by Method #1
    • 114295 . . . 113851 by Method #1
    • 115777 . . . 115448 by Method #2
    • 115105 . . . 114911 by Method #2
    • 114822 . . . 114700 by Method #2
    • 114588 . . . 114386 by Method #2
    • 114295 . . . 113851 by Method #2
    • 115813 . . . 115448 by Method #3
    • 115105 . . . 114911 by Method #3
    • 114822 . . . 114700 by Method #3
    • 114588 . . . 114386 by Method #3
    • 114295 . . . 113337 by Method #3

(Ac) cDNA Sequence

All the gi numbers were assigned by Genbank to track the public genomic sequences except:

gi 1000000001

gi 1000000002

gi 1000000003

gi 1000000004; and

gi 1000000005.

These gi numbers were assigned by Applicants to the five Arabidopsis chromosome sequences that were published by the Institute of Genome Research (TIGR). Gi 1000000001 corresponds to chromosome 1, Gi 1000000002 to chromosome 2, etc.

The method of annotation is indicated as well as any similar public annotations.

f. Promoters & Terminators

Promoter sequences are 5′ of the translational start site in a gene; more typically, 5′ of the transcriptional start site or sites. Terminator sequences are 3′ of the translational terminator codon; more typically, 3′ of the end of the 3′ UTR.

For even more specifics of the Reference and Sequence Tables, see the section below titled “Brief Description of the Tables.”

I.B. Transcriptional (Differential Expression) Information—Introduction to Differential Expression Data & Analyses

A major way that a cell controls its response to internal or external stimuli is by regulating the rate of transcription of specific genes. For example, the differentiation of cells during organogenensis into forms characteristic of the organ is associated with the selective activation and repression of large numbers of genes. Thus, specific organs, tissues and cells are functionally distinct due to the different populations of mRNAs and protein products they possess. Internal signals program the selective activation and repression programs. For example, internally synthesized hormones produce such signals. The level of hormone can be raised by increasing the level of transcription of genes encoding proteins concerned with hormone synthesis.

To measure how a cell reacts to internal and/or external stimuli, individual mRNA levels can be measured and used as an indicator for the extent of transcription of the gene. Cells can be exposed to a stimulus, and mRNA can be isolated and assayed at different time points after stimulation. The mRNA from the stimulated cells can be compared to control cells that were not stimulated. The mRNA levels of particular Maximum Length Sequences that are higher in the stimulated cell versus the control indicate a stimulus-specific response of the cell. The same is true of mRNA levels that are lower in stimulated cells versus the control condition. Similar studies can be performed with cells taken from an organism with a defined mutation in their genome as compared with cells without the mutation. Altered mRNA levels in the mutated cells indicate how the mutation causes transcriptional changes. These transcriptional changes are associated with the phenotype that the mutated cells exhibit that is different from the phenotype exhibited by the control cells.

Applicants have utilized microarray techniques to measure the levels of mRNAs in cells from mutant plants, stimulated plants, and/or selected from specific organs. The differential expression of various genes in the samples versus controls are listed in the MA_diff Tables. Applicants have analyzed the differential data to identify genes whose mRNA transcription levels are positively correlated. From these analyses, Applicants were able to group different genes together whose transcription patterns are correlated. The results of the analyses are reported in the MA_clust Tables.

a. Experimental Detail

A microarray is a small solid support, usually the size of a microscope slide, onto which a number of polynucleotides have been spotted onto or synthesized in distinct positions on the slide (also referred to as a chip). Typically, the polynucleotides are spotted in a grid formation. The polynucleotides can either be Maximum Length Sequences or shorter synthetic oligonucleotides, whose sequence is complementary to specific Maximum Length Sequence entities. A typical chip format is as follows:

	Oligo #1	Oligo #2	Oligo #3
	Oligo #4	Oligo #5	Oligo #6
	Oligo #7	Oligo #8	Oligo #9

For Applicants' experiments, samples were hybridized to the chips using the “two-color” microarray procedure. A fluorescent dye was used to label cDNA reverse-transcribed from mRNA isolated from cells that had been stimulated, mutated, or collected from a specific organ or developmental stage. A second fluorescent dye of another color was used to label cDNA prepared from control cells.

The two differentially-labeled cDNAs were mixed together. Microarray chips were incubated with this mixture. For Applicants' experiments the two dyes that are used are Cy3, which fluoresces in the red color range, and Cy5, which fluoresces in the green/blue color range. Thus, if:

cDNA#1 binds to Oligo #1;

cDNA#1 from the sample is labeled red;

cDNA#1 from the control is labeled green, and

cDNA#1 is in both the sample and control,

then cDNA#1 from both the sample and control will bind to Oligo#1 on the chip. If the sample has 10 times more cDNA#1 than the control, then 10 times more of the cDNA#1 would be hybridized to Oligo#1. Thus, the spot on the chip with Oligo#1 spot would look red.

		Oligo #2	Oligo #3
	Oligo #4	Oligo #5	Oligo #6
	Oligo #7	Oligo #8	Oligo #9

If the situation were reversed, the spot would appear green. If the sample has approximately the same amount of cDNA#1 as the control, then the Oligo#1 spot on the chip would look yellow. These color differentials are measured quantitatively and used to deduce the relative concentration of mRNAs from individual genes in particular samples.

b. MA_Diff Data Table

To generate data, Applicants labeled and hybridized the sample and control mRNA in duplicate experiments. One chip was exposed to a mixture of cDNAs from both a sample and control, where the sample cDNA was labeled with Cy3, and the control was labeled with Cy5 dye. For the second labeling and chip hybridization experiments, the fluorescent labels were reversed; that is, the Cy5 dye for the sample, and the Cy3 dye for the control.

Whether Cy5 or Cy3 was used to label the sample, the fluorescence produced by the sample was divided by the fluorescence of the control. A cDNA was determined to be differentially expressed in response to the stimulus in question if a statistically-significantly ration difference in the sample versus the control was measured by both chip hybridization experiments.

The MA_diff tables show which cDNA were significantly up-regulated as designated by a “+” and which were significantly down-regulated as designated by a “−” for each pair of chips using the same sample and control.

I.C. Phenotypic Information

One means of determining the phenotypic effect of a gene is either to insert extra active copies of the gene or coding sequence, or to disrupt an existing copy of the gene in a cell or organism and measure the effects of the genetic change on one or more phenotypic characters or traits. “Knock-in” is used herein to refer to insertion of additional active copies of a gene or coding sequence. “Knock-out” refers to a plant where an endogenous gene(s) is disrupted. Applicants have used both methods of addition or disruption to determine the phenotypic effects of gene or gene components or products, and have thereby discovered the function of the genes and their utilities.

1. Knock-In Results

The coding sequence of a desired protein can be functionally linked to a heterologous promoter to facilitate expression. Here, Applicants have operably linked a number of coding sequences to either one of the promoters listed below:

	Specific Promoter	Plant Line
GFP Pattern	activity	Descriptor
Root epidermis/mostly toward the lower	Specific to the root basal	Root basal
region of root (more intense than CS9094)	region.
Root-endodermis/cortex (initials sharp);	Specific to the root	Root/Petiole/Flowers
shoot-mesophyll of one leaf, sharp guard cell	endodermis-cortex
marking. New leaf petioles near tip of	region, leaf petiole, and
primary inflorescence; floral stems; in	flowers.
flowers at base of sepal, anther stems, and
pistil
Broad root exp. (some dermal, some cortical,	Specific to root and stem.	Root/Stem1
some vascular); shoot apex. Faintly in
petiole; stem
High expression in stem, excluded from 1st	Specific to stem and root.	Root/Stem2
true leaves/High in root. Faint expression in
stem
Shoot meristem/whole root region; little bit	Specific to roots, shoot	Root/Stem/Leaves/Flowers
on cotyledons. Base of leaves(axillary	meristem, base of leaves
meristem?); base of sepals; inflorescence	and flowers.
meristem; small amount in unfertilized pistil.
root tip vascular initials; vascular system	Specific to vascular	Vascular/Ovule/Young
throughout plant; Bud petal vasculature and	systems.	Seed/Embryo
pistil septum; Flower petal vascualture;
Flower pistil septum; Pre fertilization ovules;
Post fertilization ovule at chalazal end;
Developing seed (young, maturing siliques);
Seed coat and young embryos. GFP not
observed in mature embryos.
Flower, sepal/vascular tissue of root, stem,	Specific to flowers, seed	Flowers/Seed/Vasculature/
and cotyledons. Stems of new flowers;	and vasculature.	Embryo
vasculature or petals, anthers, sepals, and
pistil/silique; Vasculature throughtout
seedling: root, hypocotyl, petioles, stem,
cotyledons, first true leaves; Rosette
vasculature; Cauline leaf vasculature; Bud
pedicel vasculature; Flower vasculature:
(sepals, petals, filaments, pistil); Bud
vasculature (sepal, petal, filament, pistil);
Funiculus in both flower and bud; Some
possible seed coat expression; Silique
funiculus; Very faint fluorescence in mature
embryo (auto fluorescence perhaps);
Root expression - primarily in cortex (upper	Specific to root.	Roots2
refion of the root). No shoot expression
Root expression - less intense in whole root	Specific to root and shoot	Root/SAM
of young seedling. Shoot apical meristem;	apical meristem.
organ primordia in SAM region.
Root epidermis/tip; shoot epidermis/vascular;	Specific to seed and to	Seed/Epidermis/Ovary/
leaf epidermis; expression in developing	epidermal layers of roots,	Fruit
seed/ovule - mature embryo; Primary and	shoots and leaves.
lateral root cortex; Very strong in root cap;
Base of flower bud and epidermis of carpels;
Base of flower, epidermis of filaments,
epidermis of carpels; Trichomes; Weak
(hardly detectable) gfp expression in
vasculature throughout seedling; Strong
expression in trichomes; POST - fertilization
SEED only; GFP strength increases as
silique matures; Weak at suspensor end of
the embryo; GFP observed in seed coat; Root
and post fertilization seed specific gfp
expression; Expression in seed coat.
Young root dermis; dermal/cortical?/vascular	Specific to roots, shoots,	Roots/Shoots/Ovule
in older root; general (epidermal?) shoot	and ovules.
expression; ovules. some in sepals;
vasculature of stem
Vascular tissue of root; Meristem tissues:	Specific to root structural	Vasculature/Meristem
axillary meristems, floral meristems, base of	leaf vascular region and
flowers/sepals; Weak expression in	to floral buds and axillary
hypocotyl, petiole and cotyledon	meristem
vasculature..

The chimeric constructs were transformed into Arabidopsis thaliana. The resulting transformed lines were screened to determine what phenotypes were changed due to introduced transgene. The phenotype changes, relative to the control, are reported in the Knock-in tables.

2. Knock-Out Results

Knock-out plants in Arabidopsis thaliana were created by inserting a polynucleotide tag into the genome. The location of the tag was identified using primers to the tag sequence and isolation of the plant genomic sequence that flanks the tag using a variation of the polymerase chain reaction. The plants were generated using the procedure described in Feldmann et al., (1987) Molec. Gen. Genet. 208: 1-9; Feldmann (1991) Plant Journal, 1:71-83 and Forsthoefel et al., (1992) Aust. J. Plant Physiol. 19:353-366. On average, the population of plants that was screened had ˜1.5 to 2 tags. Generally, the number of tags ranged from 1 to greater than 5.

The polynucleotide tags were classified as either incorporated within a gene, or between two genes. The data in the Knock-out Table indicates which plants have a tag(s) causing a disruption in a gene, or a disruption between genes.

a. Disruption in a Gene

For the sake of this analysis, the tag was considered to be causing a disruption in a gene when the tag was located:

1) less than 501 upstream of the transcriptional start site;

2) less than 701 upstream of the translational initiation codon;

3) between the translational initiation and termination codons of the gene,

4) less than 301 downstream of the translational stop codon; or

5) less than 151 downstream of a transcriptional termination site.

By this definition, a tag can be inserted in two genes. For example, if two genes have only 700 nucleotides between the translational termination codon of one gene and the translational initiation codon of the other gene, the tag can be inserted into the terminator of one gene and the promoter of the other gene according to the definition above.

Genomic annotations by the method OCKHAM-OCDNA identify the transcriptional start and stop site of a gene.

b. Disruption Between Genes

When a tag causes a disruption between two genes, either or both genes can be affected. Typically, a tag can affect a gene if it disrupts the genome at a location 3000 nt downstream to the start codon of a gene. More typically, insertions found 1000-2000 nt upstream (5′), or 750-1000 nt downstream (3′) could be expected to disrupt expression.

c. More than One Insert

A plant can have multiple tags. If a mutant phenotype is observed, then it can be attributed to any one or all of the tags.

I.D. Brief Description of the Figures and Individual Tables

Figures

1. FIG. 1 illustrates the Genomics Engine used by Applicants and depicts how gene sequences were determined using five different types of technologies.

2. FIG. 2 illustrates how genes are activated by internal stimuli and protein is produced from them.

3. FIG. 3 illustrates the integration of data across species to link gene products and phenotypes.

4. FIG. 4 illustrates the regions found in a typical MLS.

5. FIG. 5 is a graph illustrating how the genes, gene components and products were classified as either early or late responders following a specific treatment.

6. FIG. 6 shows expression pattern of a cell wall synthesis gene, cDNAID 1595707, during fruit development.

7. FIG. 7 shows the different regions of a typical gene.

Tables

1. Reference and Sequence Tables

The sequences of exemplary SDFs and polypeptides corresponding to the coding sequences of the instant invention are described in the Reference and Sequence Tables (sometimes referred to as the REF and SEQ Tables. The Reference Table refers to a number of “Maximum Length Sequences” or “MLS.” Each MLS corresponds to the longest cDNA obtained, either by cloning or by the prediction from genomic sequence. The sequence of the MLS is the cDNA sequence as described in the Av subsection of the Reference Table.

The Reference Table includes the following information relating to each MLS:

I. cDNA Sequence

• • A. 5′ UTR
  • B. Coding Sequence
  • C. 3′ UTR

II. Genomic Sequence

• • A. Exons
  • B. Introns
  • C. Promoters

III. Link of cDNA Sequences to Clone IDs

IV. Multiple Transcription Start Sites

V. Polypeptide Sequences

• • A. Signal Peptide
  • B. Domains
  • C. Related Polypeptides

VI. Related Polynucleotide Sequences

I. cDNA Sequence

The Reference Table indicates which sequence in the Sequence Table represents the sequence of each MLS. The MLS sequence can comprise 5′ and 3′ UTR as well as coding sequences. In addition, specific cDNA clone numbers also are included in the Reference Table when the MLS sequence relates to a specific cDNA clone.

A. 5′ UTR

The location of the 5′ UTR can be determined by comparing the most 5′ MLS sequence with the corresponding genomic sequence as indicated in the Reference Table. The sequence that matches, beginning at any of the transcriptional start sites and ending at the last nucleotide before any of the translational start sites corresponds to the 5′ UTR.

B. Coding Region

The coding region is the sequence in any open reading frame found in the MLS. Coding regions of interest are indicated in the PolyP SEQ subsection of the Reference Table.

C. 3′ UTR

The location of the 3′ UTR can be determined by comparing the most 3′ MLS sequence with the corresponding genomic sequence as indicated in the Reference Table. The sequence that matches, beginning at the translational stop site and ending at the last nucleotide of the MLS corresponds to the 3′ UTR.

II. Genomic Sequence

Further, the Reference Table indicates the specific “gi” number of the genomic sequence if the sequence resides in a public databank. For each genomic sequence, Reference tables indicate which regions are included in the MLS. These regions can include the 5′ and 3′ UTRs as well as the coding sequence of the MLS. See, for example, the scheme depicted in FIG. 4.

The Reference Table reports the first and last base of each region that are included in an MLS sequence. An example is shown below:

gi No. 47000:

37102 . . . 37497

37593 . . . 37925

The numbers indicate that the MLS contains the following sequences from two regions of gi No. 47000; a first region including bases 37102-37497, and a second region including bases 37593-37925.

A. Exon Sequences

The location of the exons can be determined by comparing the sequence of the regions from the genomic sequences with the corresponding MLS sequence as indicated by the Reference Table.

i. Initial Exon

To determine the location of the initial exon, information from the

(1) polypeptide sequence section;

(2) cDNA polynucleotide section; and

(3) the genomic sequence section

of the Reference Table is used. First, the polypeptide section will indicate where the translational start site is located in the MLS sequence. The MLS sequence can be matched to the genomic sequence that corresponds to the MLS. Based on the match between the MLS and corresponding genomic sequences, the location of the translational start site can be determined in one of the regions of the genomic sequence. The location of this translational start site is the start of the first exon.

Generally, the last base of the exon of the corresponding genomic region, in which the translational start site was located, will represent the end of the initial exon. In some cases, the initial exon will end with a stop codon, when the initial exon is the only exon.

In the case when sequences representing the MLS are in the positive strand of the corresponding genomic sequence, the last base will be a larger number than the first base. When the sequences representing the MLS are in the negative strand of the corresponding genomic sequence, then the last base will be a smaller number than the first base.

ii. Internal Exons

Except for the regions that comprise the 5′ and 3′ UTRs, initial exon, and terminal exon, the remaining genomic regions that match the MLS sequence are the internal exons. Specifically, the bases defining the boundaries of the remaining regions also define the intron/exon junctions of the internal exons.

iii. Terminal Exon

As with the initial exon, the location of the terminal exon is determined with information from the

(1) polypeptide sequence section;

(2) cDNA polynucleotide section; and

(3) the genomic sequence section

of the Reference Table. The polypeptide section will indicate where the stop codon is located in the MLS sequence. The MLS sequence can be matched to the corresponding genomic sequence. Based on the match between MLS and corresponding genomic sequences, the location of the stop codon can be determined in one of the regions of the genomic sequence. The location of this stop codon is the end of the terminal exon. Generally, the first base of the exon of the corresponding genomic region that matches the cDNA sequence, in which the stop codon was located, will represent the beginning of the terminal exon. In some cases, the translational start site will represent the start of the terminal exon, which will be the only exon.

In the case when the MLS sequences are in the positive strand of the corresponding genomic sequence, the last base will be a larger number than the first base. When the MLS sequences are in the negative strand of the corresponding genomic sequence, then the last base will be a smaller number than the first base.

B. Intron Sequences

In addition, the introns corresponding to the MLS are defined by identifying the genomic sequence located between the regions where the genomic sequence comprises exons. Thus, introns are defined as starting one base downstream of a genomic region comprising an exon, and end one base upstream from a genomic region comprising an exon.

C. Promoter Sequences

As indicated below, promoter sequences corresponding to the MLS are defined as sequences upstream of the first exon; more usually, as sequences upstream of the first of multiple transcription start sites; even more usually as sequences about 2,000 nucleotides upstream of the first of multiple transcription start sites.

III. Link of cDNA Sequences to Clone IDs

As noted above, the Reference Table identifies the cDNA clone(s) that relate to each MLS. The MLS sequence can be longer than the sequences included in the cDNA clones. In such a case, the Reference Table indicates the region of the MLS that is included in the clone. If either the 5′ or 3′ termini of the cDNA clone sequence is the same as the MLS sequence, no mention will be made.

IV. Multiple Transcription Start Sites

Initiation of transcription can occur at a number of sites of the gene. The Reference Table indicates the possible multiple transcription sites for each gene. In the Reference Table, the location of the transcription start sites can be either a positive or negative number.

The positions indicated by positive numbers refer to the transcription start sites as located in the MLS sequence. The negative numbers indicate the transcription start site within the genomic sequence that corresponds to the MLS.

To determine the location of the transcription start sites with the negative numbers, the MLS sequence is aligned with the corresponding genomic sequence. In the instances when a public genomic sequence is referenced, the relevant corresponding genomic sequence can be found by direct reference to the nucleotide sequence indicated by the “gi” number shown in the public genomic DNA section of the Reference Table. When the position is a negative number, the transcription start site is located in the corresponding genomic sequence upstream of the base that matches the beginning of the MLS sequence in the alignment. The negative number is relative to the first base of the MLS sequence which matches the genomic sequence corresponding to the relevant “gi” number.

In the instances when no public genomic DNA is referenced, the relevant nucleotide sequence for alignment is the nucleotide sequence associated with the amino acid sequence designated by “gi” number of the later PolyP SEQ subsection.

V. Polypeptide Sequences

The PolyP SEQ subsection lists SEQ ID NOs and Ceres SEQ ID NO for polypeptide sequences corresponding to the coding sequence of the MLS sequence and the location of the translational start site with the coding sequence of the MLS sequence.

The MLS sequence can have multiple translational start sites and can be capable of producing more than one polypeptide sequence.

A. Signal Peptide

The Reference tables also indicate in subsection (B) the cleavage site of the putative signal peptide of the polypeptide corresponding to the coding sequence of the MLS sequence. Typically, signal peptide coding sequences comprise a sequence encoding the first residue of the polypeptide to the cleavage site residue.

B. Domains

Subsection (C) provides information regarding identified domains (where present) within the polypeptide and (where present) a name for the polypeptide domain.

C. Related Polypeptides

Subsection (Dp) provides (where present) information concerning amino acid sequences that are found to be related and have some percentage of sequence identity to the polypeptide sequences of the Reference and Sequence Tables. These related sequences are identified by a “gi” number.

VI. Related Polynucleotide Sequences

Subsection (Dn) provides polynucleotide sequences (where present) that are related to and have some percentage of sequence identity to the MLS or corresponding genomic sequence.

Abbreviation                 Description
Max Len. Seq.                Maximum Length Sequence
rel to                       Related to
Clone Ids                    Clone ID numbers
Pub gDNA                     Public Genomic DNA
gi No.                       gi number
Gen. Seq. in Cdna            Genomic Sequence in cDNA
                             (Each region for a single gene prediction is
                             listed on a separate line.
                             In the case of multiple gene predictions, the
                             group of regions relating to a single prediction
                             are separated by a blank line)
(Ac) cDNA SEQ                cDNA sequence
Pat. Appln. SEQ ID NO        Patent Application SEQ ID NO:
Ceres SEQ ID NO: 1673877     Ceres SEQ ID NO:
SEQ # w. TSS                 Location within the cDNA sequence, SEQ ID
                             NO:, of Transcription Start Sites which are listed below
Clone ID #: # -> #           Clone ID comprises bases # to # of the cDNA
                             Sequence
PolyP SEQ                    Polypeptide Sequence
Pat. Appln. SEQ ID NO:       Patent Application SEQ ID NO:
Ceres SEQ ID NO              Ceres SEQ ID NO:
Loc. SEQ ID NO: @ nt.        Location of translational start site in cDNA of
                             SEQ ID NO: at nucleotide number
(C) Pred. PP Nom. & Annot.   Nomination and Annotation of Domains within
                             Predicted Polypeptide(s)
(Title)                      Name of Domain
Loc. SEQ ID NO #: # -> # aa. Location of the domain within the polypeptide
                             of SEQ ID NO: from # to # amino acid
                             residues.
(Dp) Rel. AA SEQ             Related Amino Acid Sequences
Align. NO                    Alignment number
gi No                        Gi number
Desp.                        Description
% Idnt.                      Percent identity
Align. Len.                  Alignment Length
Loc. SEQ ID NO: # -> # aa    Location within SEQ ID NO: from # to #
                             amino acid residue.

2. Protein Group Table

This table indicates groups of proteins that share a signature sequence (also referred to as a consensus sequence). The Protein group also referred to as the Ortholog group is named by the peptide ID with which all members were compared. Each group contains sequences that were included at the 10⁻⁵⁰, 10⁻³⁰, and 10⁻¹⁰ p-value cutoffs. For each group, the peptide ID and at which cutoff the peptide was included into the group. The same peptide ID may be included in the group three times as peptide ID 50, peptide ID 30 and peptide ID 10. The data indicates that peptide ID was included in the group when the threshold was either 10⁻⁵⁰, 10⁻³⁰, or 10⁻¹⁰. All the peptide IDs that are followed by “50” were included in the protein group when the e-value cutoff was 10⁻⁵⁰. All the peptide IDs that are followed by either “30” or “50” were included in the protein group when the threshold e-value was 10⁻³⁰. All the peptide IDs that are followed by “10”, “30” or “50” were included in the protein group when 10⁻¹⁰ was used as the e-value cutoff. At the end of each protein group is a list of the consensus sequence that proteins share at the 10⁻⁵⁰, 10⁻³⁰, or 10⁻¹⁰. The consensus sequence contains both lower-case and upper-case letters. The upper-case letters represent the standard one-letter amino acid abbreviations. The lower case letters represent classes of amino acids:

• • “t” refers to tiny amino acids, which are specifically alanine, glycine, serine and threonine.
  • “p” refers to polar amino acids, which are specifically, asparagine and glutamine
  • “n” refers to negatively charged amino acids, which are specifically, aspartic acid and glutamic acid
  • “+” refers to positively charged residues, which are specifically, lysine, arginine, and histidine
  • “r” refers to aromatic residues, which are specifically, phenylalanine, tyrosine, and tryptophan,
  • “a” refers to aliphatic residues, which are specifically, isoleucine, valine, leucine, and methonine

3. Protein Group_Matrix Table

In addition to each consensus sequence, Applicants have generated a scoring matrix to provide further description of the consensus sequence. The first row of each matrix indicates the residue position in the consensus sequence. The matrix reports number of occurrences of all the amino acids that were found in the group members for every residue position of the signature sequence. The matrix also indicates for each residue position, how many different organisms were found to have a polypeptide in the group that included a residue at the relevant position. The last line of the matrix indicates all the amino acids that were found at each position of the consensus.

4. MA_diff Table

The MA_diff Table presents the results of the differential expression experiments for the mRNAs, as reported by their corresponding cDNA ID number, that were differentially transcribed under a particular set of conditions as compared to a control sample. The cDNA ID numbers correspond to those utilized in the Reference and Sequence Tables. Increases in mRNA abundance levels in experimental plants versus the controls are denoted with the plus sign (+). Likewise, reductions in mRNA abundance levels in the experimental plants are denoted with the minus (−) sign.

The Table is organized according to each set of experimental conditions, which are denoted by the term “Expt ID:” followed by a particular number. The table below links each Expt ID with a short description of the experiment and the parameters.

For each experiment ID a method of the normalization is specified. “Method: 2” represents normalization by median the goal of the method is to adjust the ratios by a factor so that the median of the ratio distribution is 1. Method 3 is the normalization procedure conducted by Aglilent Technologies, Inc. Palo Alto, Calif., USA.

The MA_diff Table also specifies the specific parameters and the experiment number (e.g. 107871) used in compiling the data. The experiment numbers are referenced in the appropriate utility/functions sections herein. The background threshold was set to “BKG_Threshold=X” to reduce the effect of the background on the signal.

Finally, the Table includes reference to an “Organism_ID” number. This number refers to the cDNA spotted on the chip were similar to Arabidopsis thaliana (3769) sequences or whether the oligo used for the chips were similar to Zea mays (311987) sequences.

5. MA_diff (Experiment) Table

The following Table summarizes the experimental procedures utilized for the differential expression experiments, each experiment being identified by a unique “Expt ID” number.

Exam-
ple	Experiment
No.	short name	genome	EXPT_ID	Value	PARAMETER	UNITS
3ii	3642-1	Arabidopsis	108512	3746-1	Plant Line	Hours
3n	Arab_0.001%_MeJA_1	Arabidopsis	108568	Aerial	Tissue	Tissue
				0.001%_MeJA	Treatment	Compound
				1	Timepoint	Hours
3n	Arab_0.001%_MeJA_1	Arabidopsis	108569	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				0.001%_MeJA	Treatment	Compound
3j	Arab_0.1uM_Epi-	Arabidopsis	108580	Aerial	Tissue	Tissue
	Brass_1			1	Timepoint	Hours
				0.1uM_Brassino_Steroid	Treatment	Compound
3j	Arab_0.1uM_Epi-	Arabidopsis	108581	Aerial	Tissue	Tissue
	Brass_1			6	Timepoint	Hours
				0.1uM_Brassino_Steroid	Treatment	Compound
3g	Arab_100uM_ABA_1	Arabidopsis	108560	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				100uM_ABA	Treatment	Compound
3g	Arab_100uM_ABA_1	Arabidopsis	108561	Aerial	Tissue	Tissue
				100uM_ABA	Treatment	Compound
				6	Timepoint	Hours
3I	Arab_100uM_BA_1	Arabidopsis	108566	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				100_uM BA	Treatment	Compound
3I	Arab_100uM_BA_1	Arabidopsis	108567	Aerial	Tissue	Tissue
				100uM_BA	Treatment	Compound
				6	Timepoint	Hours
3k	Arab_100uM_GA3_1	Arabidopsis	108562	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				100uM GA3	Treatment	Compound
3k	Arab_100uM_GA3_1	Arabidopsis	108563	Aerial	Tissue	Tissue
				100uM GA3	Treatment	Compound
				6	Timepoint	Hours
3h	Arab_100uM_NAA_1	Arabidopsis	108564	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				100uM_NAA	Treatment	Compound
3h	Arab_100uM_NAA_1	Arabidopsis	108565	Aerial	Tissue	Tissue
				100uM_NAA	Treatment	Compound
				6	Timepoint	Hours
3r	Arab_20%_PEG_1	Arabidopsis	108570	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				20% PEG	Treatment	Compound
3r	Arab_20%_PEG_1	Arabidopsis	108571	Aerial	Tissue	Tissue
				20% PEG	Treatment	Compound
				6	Timepoint	Hours
3o	Arab_2 mM_SA_1	Arabidopsis	108586	Aerial	Tissue	Tissue
				2 mM_SA	Treatment	Compound
				1	Timepoint	Hours
3o	Arab_2 mM_SA_1	Arabidopsis	108587	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				2 mM_SA	Treatment	Compound
3u	Arab_5 mM_H2O2_1	Arabidopsis	108582	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				5 mM_H2O2	Treatment	Compound
3u	Arab_5 mM_H2O2_1	Arabidopsis	108583	Aerial	Tissue	Tissue
				5 mM_H2O2	Treatment	Compound
				6	Timepoint	Hours
3v	Arab_5 mM_NaNP_1	Arabidopsis	108584	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				5 mM_NaNP	Treatment	Compound
3v	Arab_5 mM_NaNP_1	Arabidopsis	108585	Aerial	Tissue	Tissue
				5 mM_NaNP	Treatment	Compound
				6	Timepoint	Hours
3t	Arab_Cold_1	Arabidopsis	108578	Aerial	Tissue	Tissue
				Cold	Treatment	Compound
				1	Timepoint	Hours
3t	Arab_Cold_1	Arabidopsis	108579	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				Cold	Treatment	Compound
3g	Arab_Drought_1	Arabidopsis	108572	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				Drought	Treatment	Compound
3g	Arab_Drought_1	Arabidopsis	108573	Aerial	Tissue	Tissue
				Drought	Treatment	Compound
				6	Timepoint	Hours
3s	Arab_Heat_1	Arabidopsis	108576	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				Heat (42 deg	Treatment	Compound
				C)
3s	Arab_Heat_1	Arabidopsis	108577	Aerial	Tissue	Tissue
				Heat (42 deg	Treatment	Compound
				C)
				6	Timepoint	Hours
3aa	Arab_Ler-	Arabidopsis	108595	Ler_pi	Plant Line	Hours
(ovule)	pi_ovule_1
				Ovule	Tissue	Tissue
3b	Arab_Ler-	Arabidopsis	108594	Ler_rhl	Plant Line	Hours
	rhl_root_1
				Root	Tissue	Tissue
3l	Arab_NO3_H-	Arabidopsis	108592	Aerial	Tissue	Tissue
	to-L_1
				Low Nitrogen	Treatment	Compound
				12	Timepoint	Hours
3l	Arab_NO3_H-	Arabidopsis	108593	Aerial	Tissue	Tissue
	to-L_1
				24	Timepoint	Hours
				Low Nitrogen	Treatment	Compound
3l	Arab_NO3_L-	Arabidopsis	108588	Aerial	Tissue	Tissue
	to-H_1
				2	Timepoint	Hours
				Nitrogen	Treatment	Compound
3l	Arab_NO3_L-	Arabidopsis	108589	Aerial	Tissue	Tissue
	to-H_1
				Nitrogen	Treatment	Compound
				6	Timepoint	Hours
3l	Arab_NO3_L-	Arabidopsis	108590	Aerial	Tissue	Tissue
	to-H_1
				9	Timepoint	Hours
				Nitrogen	Treatment	Compound
3l	Arab_NO3_L-	Arabidopsis	108591	Aerial	Tissue	Tissue
	to-H_1
				Nitrogen	Treatment	Compound
				12	Timepoint	Hours
3p	Arab_Wounding_1	Arabidopsis	108574	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				Wounding	Treatment	Compound
3p	Arab_Wounding_1	Arabidopsis	108575	Aerial	Tissue	Tissue
				Wounding	Treatment	Compound
				6	Timepoint	Hours
3o	Columbia/CS3726	Arabidopsis	108475	Columbia	species	Hours
	flower SA
				SA	Treatment	Compound
				5 weeks	Timepoint	Hours
3o	Columbia/CS3726	Arabidopsis	108476	CS3726	species	Hours
	flower SA
				5 weeks	Timepoint	Hours
				SA	Treatment	Compound
3p	Corn_0.001Percent_meJA	Zea Mays	108555	Aerial	Tissue	Tissue
				24	Timepoint	Hours
				0.001%_MeJA	Treatment	Compound
3j	Corn_0.1uM_Brassino_Steriod	Zea Mays	108557	24	Timepoint	Hours
				Aerial	Tissue	Tissue
				0.1uM_Brassino_Steriod	Treatment	Compound
3g	Corn_100uM_ABA	Zea Mays	108513	Aerial	Tissue	Tissue
				ABA	Treatment	Compound
				6	Timepoint	Hours
3g	Corn_100uM_ABA	Zea Mays	108597	Aerial	Tissue	Tissue
				24	Timepoint	Hours
				100uM_ABA	Treatment	Compound
3i	Corn_100uM_BA	Zea Mays	108517	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				BA	Treatment	Compound
3k	Corn_100uM_GA3	Zea Mays	108519	Aerial	Tissue	Tissue
				100uM	Treatment	Compound
				Giberillic
				Acid
				1	Timepoint	Hours
3k	Corn_100uM_GA3	Zea Mays	108520	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				100uM	Treatment	Compound
				Giberillic
				Acid
3k	Corn_100uM_GA3	Zea Mays	108521	Aerial	Tissue	Tissue
				100uM	Treatment	Compound
				Giberillic
				Acid
				12	Timepoint	Hours
3h	Corn_100uM_NAA	Zea Mays	108516	Aerial	Tissue	Tissue
				NAA	Treatment	Compound
				6	Timepoint	Hours
3h	Corn_100uM_NAA	Zea Mays	108554	Aerial	Tissue	Tissue
				24	Timepoint	Hours
				NAA	Treatment	Compound
3hh	Corn_1400-	Zea Mays	108598	Shoot apices	Tissue	Tissue
	6/S-17
3r	Corn_150 mM_NaCl	Zea Mays	108541	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				150 mM_NaCl	Treatment	Compound
3r	Corn_150 mM_NaCl	Zea Mays	108542	Aerial	Tissue	Tissue
				150 mM_NaCl	Treatment	Compound
				6	Timepoint	Hours
3r	Corn_150 mM_NaCl	Zea Mays	108553	Aerial	Tissue	Tissue
				24	Timepoint	Hours
				150 mM_NaCl	Treatment	Compound
3r	Corn_20%_PEG	Zea Mays	108539	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				20% PEG	Treatment	Compound
3r	Corn_20%_PBG	Zea Mays	108540	Aerial	Tissue	Tissue
				20% PEG	Treatment	Compound
				6	Timepoint	Hours
3o	Corn_2 mM_SA	Zea Mays	108515	Aerial	Tissue	Tissue
				SA	Treatment	Compound
				12	Timepoint	Hours
3o	Corn_2 mM_SA	Zea Mays	108552	Aerial	Tissue	Tissue
				SA	Treatment	Compound
				24	Timepoint	Hours
3u	Corn_5 mM_H2O2	Zea Mays	108537	Aerial	Tissue	Tissue
				H2O2	Treatment	Compound
				1	Timepoint	Hours
3u	Corn_5 mM_H2O2	Zea Mays	108538	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				H2O2	Treatment	Compound
3u	Corn_5 mM_H2O2	Zea Mays	108558	Aerial	Tissue	Tissue
				24	Timepoint	Hours
				H2O2	Treatment	Compound
3v	Corn_5 mM_NO	Zea Mays	108526	Aerial	Tissue	Tissue
				NO	Treatment	Compound
				1	Timepoint	Hours
3v	Corn_5 mM_NO	Zea Mays	108527	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				NO	Treatment	Compound
3v	Corn_5 mM_NO	Zea Mays	108559	Aerial	Tissue	Tissue
				12	Timepoint	Hours
				NO	Treatment	Compound
3t	Corn_Cold	Zea Mays	108533	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				Cold	Treatment	Compound
3t	Corn_Cold	Zea Mays	108534	Aerial	Tissue	Tissue
				Cold	Treatment	Compound
				6	Timepoint	Hours
3q	Corn_Drought	Zea Mays	108502	Drought	Treatment	Compound
				1	Timepoint	Hours
3q	Corn_Drought	Zea Mays	108503	Drought	Treatment	Compound
				6	Timepoint	Hours
3q	Corn_Drought	Zea Mays	108504	Drought	Treatment	Compound
				12	Timepoint	Hours
3q	Corn_Drought	Zea Mays	108556	Drought	Treatment	Compound
				24	Timepoint	Hours
3s	Corn_Heat	Zea Mays	108522	Aerial	Tissue	Tissue
				1	Timepoint	Hours
				Heat (42 deg	Treatment	Compound
				C)
3s	Corn_Heat	Zea Mays	108523	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				Heat (42 deg	Treatment	Compound
				C)
3gg	Corn_Imbibed	Zea Mays	108518	Imbibed	Treatment	Compound
	Seeds
				4	Age	days old
				Roots	Tissue	Tissue
3gg	Corn_Imbibed	Zea Mays	108528	Imbibed	Treatment	Compound
	Seeds
				Aerial	Tissue	Tissue
				5	Age	days old
3gg	Corn_Imbibed	Zea Mays	108529	Imbibed	Treatment	Compound
	Seeds
				5	Age	days old
				Root	Tissue	Tissue
3gg	Corn_Imbibed	Zea Mays	108530	Imbibed	Treatment	Compound
	Seeds
				Aerial	Tissue	Tissue
				6	Age	days old
3gg	Corn_Imbibed	Zea Mays	108531	Imbibed	Treatment	Compound
	Seeds
				6	Age	days old
				root	Tissue	Tissue
3gg	Corn_Imbibed	Zea Mays	108545	Imbibed	Treatment	Compound
	Seeds
				Aerial	Tissue	Tissue
				3	Age	days old
3gg	Corn_Imbibed	Zea Mays	108546	Imbibed	Treatment	Compound
	Seeds
				3	Age	days old
				Root	Tissue	Tissue
3gg	Corn_Imbibed	Zea Mays	108547	Imbibed	Treatment	Compound
	Seeds
				Aerial	Tissue	Tissue
				4	Age	days old
3gg	Corn_Imbibed_Embryo_Endosperm	Zea Mays	108543	2	Age	days old
				Imbibed	Treatment	Compound
				Embryo	Tissue	Tissue
3gg	Corn_Imbibed_Embryo_Endosperm	Zea Mays	108544	2	Age	days old
				Endosperm	Tissue	Tissue
				Imbibed	Treatment	Compound
3ee	Corn_Meristem	Zea Mays	108535	Root	Tissue	Tissue
				Meristem
				192	Timepoint	Hours
3ee	Corn_Meristem	Zea Mays	108536	Shoot	Tissue	Tissue
				Meristem
				192	Timepoint	Hours
3n	Corn_Nitrogen_H_to_L	Zea Mays	108532	Roots	Tissue	Tissue
				Low Nitrogen	Treatment	Compound
				16	Timepoint	Hours
3n	Corn_Nitrogen_H_to_L	Zea Mays	108548	Root	Tissue	Tissue
				Low Nitrogen	Treatment	Compound
				4	Timepoint	Hours
3m	Corn_Nitrogen_L_to_H	Zea Mays	108549	Aerial	Tissue	Tissue
				0.166	Timepoint	Hours
				Nitrogen	Treatment	Compound
3m	Corn_Nitrogen_L_to_H	Zea Mays	108550	Aerial	Tissue	Tissue
				Nitrogen	Treatment	Compound
				1.5	Timepoint	Hours
3m	Corn_Nitrogen_L_to_H	Zea Mays	108551	Aerial	Tissue	Tissue
				3	Timepoint	Hours
				Nitrogen	Treatment	Compound
3ff	Corn_RT1	Zea Mays	108599	Unknown	Plant Line	Hours
				Root	Tissue	Tissue
3p	Corn_Wounding	Zea Mays	108524	Aerial	Tissue	Tissue
				Wounding	Treatment	Compound
				1	Timepoint	Hours
3p	Corn_Wounding	Zea Mays	108525	Aerial	Tissue	Tissue
				6	Timepoint	Hours
				Wounding	Treatment	Compound
3g	Drought_Flowers	Arabidopsis	108473	Flowers	Tissue	Tissue
				7 d	Timepoint	Hours
				Drought	Treatment	Compound
3g	Drought_Flowers	Arabidopsis	108474	Flowers	Tissue	Tissue
				Drought	Treatment	Compound
				8 d (1 d-	Timepoint	Hours
				post_re-
				watering)
3k	GA Treated	Arabidopsis	108484	1	Timepoint	Hours
				1	Timepoint	Hours
3k	GA Treated	Arabidopsis	108485	6	Timepoint	Hours
				6	Timepoint	Hours
3k	GA Treated	Arabidopsis	108486	12	Timepoint	Hours
				12	Timepoint	Hours
3e	Germinating	Arabidopsis	108461	Day 1	Timepoint	Hours
	Seeds
3e	Germinating	Arabidopsis	108462	Day 2	Timepoint	Hours
	Seeds
3e	Germinating	Arabidopsis	108463	Day 3	Timepoint	Hours
	Seeds
3e	Germinating	Arabidopsis	108464	Day 4	Timepoint	Hours
	Seeds
3bb	Herbicide V3.1	Arabidopsis	108465	Round up	Treatment	Compound
				12	Timepoint	Hours
3bb	Herbicide V3.1	Arabidopsis	108466	Trimec	Treatment	Compound
				12	Timepoint	Hours
3bb	Herbicide V3.1	Arabidopsis	108467	Finale	Treatment	Compound
				12	Timepoint	Hours
3bb	Herbicide V3.1	Arabidopsis	108468	Glean	Treatment	Compound
				12	Timepoint	Hours
3bb	Herbicide_v2	Arabidopsis	107871	Finale	Treatment	Compound
				4	Timepoint	Hours
3bb	Herbicide_v2	Arabidopsis	107876	Finale	Treatment	Compound
				12	Timepoint	Hours
3bb	Herbicide_v2	Arabidopsis	107881	Glean	Treatment	Compound
				4	Timepoint	Hours
3bb	Herbicide_v2	Arabidopsis	107886	Trimec	Treatment	Compound
				4	Timepoint	Hours
3bb	Herbicide_v2	Arabidopsis	107891	Trimec	Treatment	Compound
				12	Timepoint	Hours
3bb	Herbicide_v2	Arabidopsis	107896	Round-up	Treatment	Compound
				4	Timepoint	Hours
3d	Trichome	Arabidopsis	108452	Hairy	Tissue	Tissue
	Inflorescences			Influorescence
	expt			#1
3o	SA treatment_1	Arabidopsis	108471	Columbia	Species	Hours
	hour
				1	Timepoint	Hours
				SA	Treatment	Compound
3o	SA treatment_1	Arabidopsis	108472	CS3726	Species	Hours
	hour
				1	Timepoint	Hours
				SA	Treatment	Compound
3o	SA treatment_4	Arabidopsis	108469	columbia	Species	Hours
	hours
				4	Timepoint	Hours
				SA	Treatment	Compound
3o	SA treatment_4	Arabidopsis	108470	CS3726	Species	Hours
	hour
				SA	Treatment	Compound
				4	Timepoint	Hours
3o	SA	Arabidopsis	107953	50	Probe	% of
	treatment_AJ				Amount	Standard
						Amount
				SA	Treatment	Compound
				24	Timepoint	Hours
				Clontech	Probe Type	Probe
						method
3o	SA	Arabidopsis	107960	50	Probe	% of
	treatment_AJ				Amount	Standard
						Amount
				SA	Treatment	Compound
				24	Timepoint	Hours
				Operon	Probe Type	Probe
						method
3o	SA_treatment	Arabidopsis	108443	SA	Treatment	Compound
	24 hour
				24	Timepoint	Hours
3o	SA_treatment 6	Arabidopsis	108440	SA treatment	Treatment	Compound
	hour			6 hour
				CS3726	species	Hours
3o	SA_treatment 6	Arabidopsis	108441	SA treatment	Treatment	Compound
	hour			6 hour
				Columbia	species	Hours
3l	Nitrogen High	Arabidopsis	108454	10 min	Timepoint	Hours
	transition to
	Low
3l	Nitrogen High	Arabidopsis	108455	1 hr	Timepoint	Hours
	transition to
	Low
3j	BR_Shoot	Arabidopsis	108478	dwf4-1	Plant Line	Hours
	Apices Expt
3j	BR_Shoot	Arabidopsis	108479	AOD4-4	Plant Line	Hours
	Apices Expt
3j	BR_Shoot	Arabidopsis	108480	Ws-2	Plant Line	Hours
	Apices Expt
				BL	Treatment	Compound
3j	BR_Shoot	Arabidopsis	108481	Ws-2	Plant Line	Hours
	Apices Expt
				BRZ	Treatment	Compound
3jj	Tissue Specific	Arabidopsis	108429	green flower	Tissue	Tissue
	Expression
				operon	Probe Type	Probe
						method
				50	Probe	% of
					Amount	Standard
						Amount
3jj	Tissue Specific	Arabidopsis	108430	white flower	Tissue	Tissue
	Expression
				50	Probe	% of
					Amount	Standard
						Amount
				operon	Probe Type	Probe
						method
3jj	Tissue Specific	Arabidopsis	108431	flowers (bud)	Tissue	Tissue
	Expression
				operon	Probe Type	Probe
						method
				50	Probe	% of
					Amount	Standard
						Amount
3c	Tissue Specific	Arabidopsis	108436	5-10 mm	Tissue	Tissue
	Expression			siliques
				33	Probe	% of
					Amount	Standard
						Amount
				operon	Probe Type	Probe
						method
3c	Tissue Specific	Arabidopsis	108437	<5 mm	Tissue	Tissue
	Expression			siliques
				operon	Probe Type	Probe
						method
				33	Probe	% of
					Amount	Standard
						Amount
3c	Tissue Specific	Arabidopsis	108438	5 wk siliques	Tissue	Tissue
	Expression
				33	Probe	% of
					Amount	Standard
						Amount
				operon	Probe Type	Probe
						method
3a	Tissue Specific	Arabidopsis	108439	Roots (2 wk)	Tissue	Tissue
	Expression
				operon	Probe Type	Probe
						method
				33	Probe	% of
					Amount	Standard
						Amount
3c	Tissue Specific	Arabidopsis	108497	3 week	Tissue	Tissue
	Expression			Rossette
				leaves
				100	Probe	% of
					Amount	Standard
						Amount
				operon	Probe Type	Probe
						method
3c	Tissue Specific	Arabidopsis	108498	3-week stems	Tissue	Tissue
	Expression
				operon	Probe Type	Probe
						method
				100	Probe	% of
					Amount	Standard
						Amount
3dd	U.A.E.	Arabidopsis	108451	13B12	Plant Line	Hours
	Knockout
3q	Ws Arabidopsis	Arabidopsis	108477	stems and	Tissue	Tissue
	Drought 2 days			leaves
				2 days	Timepoint	Hours
3q	Ws Arabidopsis	Arabidopsis	108482	4 days	Timepoint	Hours
	Drought 4 days
3q	Ws Arabidopsis	Arabidopsis	108483	6 days	Timepoint	Hours
	Drought 6 days
3cc	ap2-floral buds	Arabidopsis	108501	ap2 (Ler.)	Plant Line	Hours
				floral buds	Tissue	Tissue
3m	nitrogen-seed	Arabidopsis	108487	0.5	Timepoint	Hours
	set
3m	nitrogen-seed	Arabidopsis	108488	2	Timepoint	Hours
	set
3m	nitrogen-seed	Arabidopsis	108489	4	Timepoint	Hours
	set
3b	rhl mutant2	Arabidopsis	108433	mutant	Tissue	Tissue
3ee	root tips	Arabidopsis	108434	root tips	Tissue	Tissue
3f	stm mutants	Arabidopsis	108435	stem	Tissue	Tissue
	Aluminum		SMD
			7304,
			SMD 7305
	Axel		SMD
			6654,
			SMD 6655
	Cadium		SMD
			7427,
			SMD 7428
	Cauliflower		SMD
			5329,
			SMD 5330
	Chloroplast		SMD
			8093,
			SMD 8094
	Circadian		SMD
			2344,
			SMD
			2359,
			SMD
			2361,
			SMD
			2362,
			SMD
			2363,
			SMD
			2364,
			SMD
			2365,
			SMD
			2366,
			SMD
			2367,
			SMD
			2368,
			SMD 3242
	CO2		SMD7561,
			SMD
			7562,
			SMD
			7261,
			SMD
			7263,
			SMD
			3710,
			SMD
			4649,
			SMD 4650
	Disease		SMD
			7342,
			SMD 7343
	reactive oxygen		SMD
			7523
	Iron		SMD
			7114,
			SMD
			7115,
			SMD 7125
	defense		SMD
			8031,
			SMD 8032
	Mitchondria-		SMD
	Electron		8061,
	Transport		SMD 8063
	NAA		SMD
			3743,
			SMD
			3749,
			SMD
			6338,
			SMD 6339
	Nitrogen		SMD
			3787,
			SMD 3789
	Phototropism		SMD
			4188,
			SMD
			6617,
			SMD 6619
	Shade		SMD
			8130,
			SMD 7230
	Sqn		SMD
			7133,
			SMD 7137
	Sulfur		SMD
			8034,
			SMD 8035
	Wounding		SMD
			3714,
			SMD 3715
	Zinc		SMD
			7310,
			SMD 7311

6. MA_Clusters Table

Microarray data was clustered using one of two methods: “complete linkage” or “nearest neighbor” analysis. These clustering methods are described in more detail elsewhere herein. The results of the clustering analysis are presented in the MA_clust table. The table is organized as follows:

“METHOD” refers to a method number which clustering method used.

“CL_METHOD_TYPE=TRUE” refers to complete linkage method.

“NN_METHOD_TYPE=TRUE” refers to the nearest neighbor method.

“FULL_NN_METHOD_TYPE=TRUE” refers to the nearest neighbor method, where no size limitation was placed on the cluster.

“PARAMETERS” refers to the parameters utilized for the analysis. The nature of these is also described in more detail elsewhere herein.

“ORGANISM” refers to the cDNA spotted on the chip were similar to Arabidopsis thaliana (3769) sequences or whether the oligo used for the chips were similar to Zea mays (311987) sequences.

Each cluster or group of cDNA is identified by a “Group #”, following which are the individual cDNA_Ids that are a member of that Group

7. Knock-In Table

The Knock-In Table presents the results of knock-in experiments wherein plants are grown from tissues transformed with a marker gene-containing insert and phenotypes are ascertained from the transformed plants. Each section of the Table relating to information on a new transformant begins with a heading “Knock-in phenotype in gene (cDNA_id):” followed by a number which represents the Ceres internal code for a proprietary cDNA sequence. The described transformant was prepared by procedures described herein, wherein the identified Ceres proprietary cDNA_id (corresponding to the cDNA_id in the Reference and Sequence Tables) was interrupted by the marker gene-containing insert. The following information is presented for each section.

• • Parent plants used in cross—presents the id numbers of the parent plants which were crossed to produce the F1 generation plant for which a phenotype is described. The parent plant with the promoter is described by a plant line descriptor.
  • Clone ID—presents the clone number of the Ceres proprietary clone which was the source of the cDNA_id.
  • Phenotype ID—represents an internal identification code.
  • Unique FI plant ID—represents the internal code for the F1 plant for which a phenotype is described.
  • Assay—presents the type of growth analyzed (e.g. soil gross morphology), followed by the assay name which corresponds to the type/location of the tissue that was observed, the name of the assay conducted for which the result provided the identified phenotype.
  • Phenotype—describes the phenotype noted for the F1 generation transformant.
  • Notes—may provide additional information on the described phenotype for the transform ant.

Each knock-in representing a transformant with an interruption in the identified cDNA id may be correlated with more than one identified phenotype.

8. Knock-Out Table

The Knock-Out Table presents the results of knock-out experiments wherein plants are grown from tissues transformed with a marker gene-containing insert wherein phenotypes are ascertained from the transformed plants. Each section of the Table relating to information on a new transformant begins with a heading “tail id:” representing an internal code. The following information is presented for each section.

• • br—provides another internal code for the experiment.
  • Phenotype_id—provides an identification number for the particular phenotype identified for the transformant.
  • assay—identifies the assay procedure utilized in the experiment to identify a phenotype for the transformant.
  • phenotype—represents an internatl identification code.
  • ratio—represents a segregation ratio.
  • notes—lists any notes relevant to the identified phenotype.
  • Knock-out in-genes—Identifies the genes in which the tag has inserted
    • 6) the less than 501 upstream of the transcriptional start site;
    • 7) less than 701 upstream of the translational initiation codon;
    • 8) between the translational initiation and termination codons of the gene,
    • 9) less than 301 downstream of the translational stop codon; or
    • 10) less than 151 downstream of a transcriptional termination site or a gene.
  • In this table the gene is identified by its cDNA ID number, the Ceres SEQ ID that is indicated in the (Ac) portion of the Reference tables. For each cDNA_id, the following information is provided:
    • the cDNA-id number.
    • in parenthesis, the cluster number of which the identified cDNA is a member.
    • the “gDNA_Insert pos” representing the position of the insert in the corresponding gDNA sequence
    • the gi number refers to the TIGR chromosome sequences for Arabidopsis.
  • Knock-out out of-genes: Identifies the Ceres cDNA proprietary sequences (noted by cDNA_id which are the same as those identified in the Reference and Sequence Tables) which are closest in position to the insert, both upstream and downstream from the insert. For each cDNA_id, the following information is provided:
    • In the first parentheses, R indicates that the gene is to the right of the tag, L indicates that the gene is to right of the tag as the sequences is read left to right
    • the cDNA_id number
    • in next parentheses, the cluster number of which the identified cDNA is a member.
    • the distance (in number of nucleotides) of the insert is upstream of the start of the gene annotation as described in the Reference Tables or downstream at the end the gene annotation.
    • the “gDNA_Insert pos” representing the position of the insert in the corresponding gDNA sequence
    • the gi number refers to the TIGR chromosome sequences for Arabidopsis.

9. Protein Domain Table

The Protein Domain table provides details concerning the protein domains noted in the Reference Table. The majority of the protein domain descriptions given in the Protein Domain Table are obtained from Prosite (available on the internet), and Pfam (available on the internet). Each description in The Table begins with the pfam and Prosite identifying numbers, the full name of the domain, and a detailed description, including biological and in vivo implications/functions for the domain, references which further describe such implications/functions, and references that describe tests/assays to measure the implications/functions.

10. Single Gene Functions & Utilities Table

The Single Gene Functions & Utilities Table describes particular utilities/functions of interest for individual genes. The Table identifies the cDNA_ID of interest, correlates to that cDNA the relevant phenotype, protein domain and microarray/differential expression data. The final column of the Table identifies the utilities/functions of particular interest for the identified cDNA.

11. Cluster Functions & Utilities Table

The Cluster Functions & Utilities Table describes particular utilities/functions of interest for identified clusters of genes. The Table provides the following information:

Record #—an internal identifier.

Group—identifies the group of clusters of interest, wherein each group is identified with the same utilities/funcions as set forth in the right-hand most column.

cDNA—identifies the cDNA of interest with the noted utility/function.

cDNA_Cluster—identifies the cDNA Cluster ID of interest.

Gi No—refers to the public genomic sequence that matches to the cDNA

NR Hit—refers to the most relevant protein domain for the cDNA of interest.

Pfam and Pfam Desc—provide the protein domain name.

Notes/Annotations—provides some notes relevant to the data/information analysis.

Utilities/Functions—this rightmost column identifies utilities/functions of particular interest for the group of cDNAs and clusters.

12. cDNA_Clusters Table

The cDNA_Clusters Table correlates the Ceres cDNA_ID nos. (in numerical order) with the relevant cDNA cluster which contains each cDNA_ID.

13. Stanford_old_new_cDNA_map Table

During the course of the experiments reported herein, some of the cDNA sequences were assigned new Ceres internal cDNA_id numbers. The cDNA_map Table provides a list of the original “old” cDNA_ids and correlates those id numbers with any new cDNA_id which may have been assigned. Thus, any “old” and “new” cDNA ids which are on the same line in the Table are, in fact, the same sequence.

14. gb_Only_Peptides Table

In the Protein Group table, a number of proteins encoded by Genbank predictions are included. These proteins were referenced with a peptide ID number. The peptide ID number is linked to the amino acid sequence of the Genbank prediction in this table.

15. Stanford_Old_New_cDNA Table

During the course of the experiments reported herein, some of the cDNA sequences utilized in the Stanford Microarray differential expression analysis experiments were assigned new Ceres internal cDNA_id numbers. The Stanford_old_new_cDNA Table provides a list of the original “old” cDNA_ids and correlates those id numbers with any new cDNA_id which may have been assigned. Thus, any “old” and “new” cDNA ids which are on the same line in the Table are, in fact, the same sequence.

16. Enhanced_Amino Table

This table lists the peptide IDs of polypeptides with enhanced amino acid content. The table list the peptide ID following with the single letter code of the amino acid that is enhanced. The table also includes a frequency that the amino acid occurred. The frequency was calculated by dividing the total number of the desired amino acid indicated in the column by the number of residues in the peptide. For example, if amino acid A, occurred 50 times in a polypeptide that is 100 amino acid long, the frequency would be 50 divided by 100 or 0.5.

17. Stanford_old_new_cDNA_map Table

During the course of the experiments reported herein, some of the cDNA sequences were assigned new Ceres internal cDNA_id numbers. The docket_—80090_—101_cDNA_map provides a list of the original “old” cDNA_ids in the Reference and Sequence tables and correlates those id numbers with any new cDNA_id which may have been assigned and utilized in the remaining tables. Thus, any “old” and “new” cDNA ids which are on the same line in the Table are, in fact, the same sequence.

II. How the Inventions Reveal how Genes, Gene Components and Products Function

The different experimental molecular genetic approaches focused on different aspects of genes, gene components, and gene products of the inventions. The variety of the data demonstrates the multiple functions and characteristics of single genes, gene components, and products. The data also explain the pathways and networks in which individual genes and products participate and interact. As a result, the circumstances or conditions are now known when these genes and networks are active. These new understandings of biology are relevant for many plant species. The following section describes the process by which Applicants analyzed the inventions generated by the Ceres Genomic Engine:

II.A. Experimental Results Reveal Many Facets of a Single Gene

The experimental results are used to dissect the function of individual components and products of the genes. For example, the biochemical activity of the encoded protein could be surmised from sequence analyses, and promoter specificity could be identified through transcriptional analyses. Generally, the data presented herein can be used to functionally annotate either the protein sequence and/or the regulatory sequence that control transcription and translation.

II.A.1. Functions of Coding Sequences Revealed by the Ceres Genomic Engine

II.A.1.a. Sequence Similarity to Proteins of Known Function can be Used to Associate Biochemical Activities and Molecular Interaction to the Proteins of the Invention

The protein sequences of the invention were analyzed to determine if they shared any sequence characteristics with proteins of known activity. Proteins can be grouped together based on sequence similarity, either localized or throughout the length of the proteins. Typically, such groups of proteins exhibit common biochemical activities or interact with similar molecules.

II.A.1.a.1. Presence of Amino Acid Motifs Indicates Biological Function

Localized protein sequence similarity, also referred to as amino acid motifs, have been attributed to enzyme or protein functions. A library of motifs, important for function, have been documented in PROSITE, a public database available on the internet. This library includes descriptions of the motifs and their functions. The zinc finger motif is one such entry in PROSITE, which reports that the zinc finger domain of DNA-binding proteins is typically defined by a 25-30 amino acid motif containing specific cysteine or histidine residues that are involved in the tetrahedral coordination of a zinc ion. Any protein comprising a sequence similar to the zinc finger amino acid motif will have similar functional activity (specific binding of DNA).

Protein sequences of the invention have been compared to a library of amino acid motifs in the pFAM database, which is linked to the PROSITE database. If any of Applicants' protein sequences exhibit similarity to these amino acid motifs or domains, the Reference Table notes the name and location of the motif in the “Pred. PP Nom. & Annot” section of the Reference tables. A description of any biochemical activities that are associated to these domains, and therefore associated with Applicants' proteins, is included in the Protein Domain table.

For example, polypeptide, CERES Sequence ID NO: 1545823 is associated with zinc finger motif as follows in the Reference Table:

(C) Pred. PP Nom. & Annot.

• • Zinc finger, C3HC4 type (RING finger)
  • Loc. Sequence ID NO 133059: 58->106 aa.

II.A.1.a.2. Related Amino Acid Sequences Share Similar Biological Functions

It is apparent, when studying protein sequence families, that some regions have been better conserved than others during evolution. These regions are generally important for the function of a protein and/or for the maintenance of its three-dimensional structure.

The Reference Table reports in section “(Dp) Rel. AA Sequence” when a protein shares amino acid similarity with a protein of known activity. The section reports the gi number of the protein of known activity, a brief description of the activity, and the location where it shares sequence similarity to Applicants' polypeptide sequence.

Using this analysis, biochemical activity of the known protein is associated with Applicants' proteins. An example for the polypeptide described above is as follows:

(Dp) Rel. AA Sequence

• • Align. NO 524716
  • gi No 2502079
  • Desp.: (AF022391) immediate early protein; ICP0 [Feline herpesvirus 1]
  • % Idnt.: 33.7
  • Align. Len.: 87
  • Loc. Sequence ID NO 133059: 52->137 aa.

II.A.1.b. Differential Expression Results Explain in which Cellular Responses the Proteins of the Invention are Involved

Differential expression results show when the coding sequence is transcribed, and therefore when the activity of the protein is deployed by the cell. Similar coding sequences can have very different physiological consequences because the sequences are expressed at different times or places, rather than because of any differences in protein activity. Therefore, modified levels (increased or decreased) of expression as compared to a control provide an indication of the function of a corresponding gene, gene components, and gene products.

These experiments can determine which are genes “over-expressed” under a given stimulus. Such over-expressed genes give rise to higher transcript levels in a plant or cell that is stimulated as compared to the transcript levels of the same genes in a control organism or cell. Similarly, differential expression experiments can reveal “under-expressed” genes.

To increase the cellular response to a stimulus, additional copies of the coding sequences of a gene that is over-expressed are inserted into a cell. Increasing transcript levels of an over-expressed gene can either heighten or prolong the particular cellular response. A similar enhancement can occur when transcription of an under-expressed gene is inhibited. In contrast, the cellular response will be shortened or less severe when the over-expressed genes are inhibited or when expression of the under-expressed genes are increased.

In addition to analyzing the levels of transcription, the data were also analyzed to gain insight into the changes in transcription over time. That is, while the plants in the experiments were reacting to either an external or internal stimulus, a differential experiment takes a snapshot of the transcription levels in the cells at one specific time. However, a number of snap-shots can be taken at different time points during an external stimulus regime, or at different stages of development during an internal stimulus. These results show how the plant changes transcription levels over time, and therefore protein levels in response to specific stimuli to produce phenotypic changes. These results show that a protein can be implicated in a single, but more likely, in a number of cellular responses.

II.A.1.b.I. The Transcript Levels of a Protein Over Time in Response to a Stimuli are Revealed by Transcriptional Analyses Over Many Experiments

Applicants produced data from plants at different times after a specific stimulus. These results show whether the expression level of a gene spikes at a key moment during the cellular response, or whether the transcript level remains constant. Thus, coding sequences not only can be determined to be over- or under-expressed, but also can be classified by the initial timing and duration of differential expression. This understanding of timing can be used to increase or decrease any desired cellular response.

Generally, Applicants have assayed plants at 2 to 4 different time points after exposing the plants to the desired stimuli. From these experiments, “early” and “late” responders were identified. These labels are applied to either the regulatory sequences driving transcription of the gene as well as to the protein encoded by the gene.

The FIG. 5 illustrates how the genes, gene components and products were classified as either early or late responders following a specific. The mRNAs from plants exposed to drought conditions were isolated 1 hour and 6 hours after exposure to drought conditions. These mRNAs were tested utilizing microarray techniques. The graph in FIG. 5 illuminates possible transcription profiles over the time course, plotting all the (+) data points as +1 and all the (−) data points as −1:

• • (The value for each time point was determined using a pair of microarray chips as described above.)

Data acquired from this type of time course experiment are useful to understand how one may increase or decrease the speed of the cellular response. Inserting into a cell extra copies of the coding sequence of early responders in order to over-express the specific gene can trigger a faster cellular response. Alternatively, coding sequences of late responders that are over-expressed can be placed under the control of promoters of early responders as another means to increase the cellular response.

Inserting anti-sense or sense mRNA suppression constructs of the early responders that are over-expressed can retard action of the late responders, thereby delaying the desired cellular response. In another embodiment, extra copies of the promoters of both early and late responders can be added to inhibit expression of both types of over-expressed genes.

The experiments described herein can be grouped together to determine the time course of the transcript levels of different coding sequences in response to different stimuli. Examples of different groups are as follows (the examples include the IDs for both corn and Arabidopsis experiments):

• • NAA (EXPT IDs 108564, 108565, 108516, 108554)
  • BA (EXPT IDs 108566, 108567, 108517)
  • GA (EXPT IDs 108562, 108563, 108519, 108520, 108521, 108484, 108485, 108486)
  • BR (EXPT IDs 108580, 108581, 108557, 108478, 108479, 108480, 108481)
  • ABA (EXPT IDs 108560, 108561, 108513, 108597)
  • Drought (EXPT IDs 108572, 108573, 108502, 108503, 108504, 108556, 108482, 108483, 108473, 108474, 108477)
  • Cold (EXPT IDs 108578, 108579, 108533, 108534)
  • Heat (EXPT IDs 108576, 108577, 108522, 108523)
  • Osmotic stress (EXPT IDs 108570, 108571, 108541, 108542, 108553, 108539, 108540)
  • Reactive Oxygen (EXPT IDs 108582, 108583, 108537, 108538, 108558)
  • NO (EXPT IDs 108584, 108585, 108526, 108527, 108559)
  • Wounding (EXPT IDs 108574, 108575, 108524, 108525)
  • SA (EXPT IDs 108586, 108587, 108515, 108552, 108471, 108472, 108469, 108470, 107953, 107960, 108443, 108440, 108441, 108475, 108476)
  • MeJA (EXPT IDs 108568, 108569)
  • Finale (EXPT IDs 108467, 107871, 107876)
  • Trimec (EXPT IDs 108466, 107886, 107891)
  • Round-up (EXPT IDs 108465, 107896)
  • Glean (EXPT IDs 108468, 107881)

II.A.1.b.2. The Transcript Levels of a Protein Over Different Developmental Stages can be Identified by Transcriptional Analyses Over Many Experiments

Differential expression data were produced for different development stages of various organs and tissues. Measurement of transcript levels can divulge whether specific genes give rise to spikes of transcription at specific times during development, or whether transcription levels remain constant. This understanding can be used to increase speed of development, or to arrest development at a specific stage.

Like the time-course experiments, the developmental stage data can classify genes as being transcribed at early or late stages of development. Generally, Applicants assayed different organs or tissues at 2-4 different stages.

Inhibiting under-expressed genes at either early or late stages can trigger faster development times. The overall development time also can be increased by this means to allow organs and tissue to grow to a larger size or to allow more organs or tissues to be produced. Alternatively, coding sequences of late stage genes that are under-expressed can be placed under the control of promoters of early stage genes to increase heighten development.

Inserting extra copies of the coding sequence early stage genes that are under-expressed can retard action of the late-stage genes and delay the desired development.

Fruit development of Arabidopsis is one example that can be studied. Siliques of varying sizes, which are representative of different stages, were assayed by microarray techniques. Specifically, mRNA was isolated from siliques between 0-5 mm, between 5-10 mm and >10 mm in length. The graph of FIG. 6 shows expression pattern of a cell wall synthesis gene, cDNAID 1595707, during fruit development.

The developmental course shows that the gene encoding a cell wall synthesis protein is up-regulated when the fruit is 0-5 mm but returns to normal levels at 5-10 mm and >10 mm. Increase of cell wall synthesis can lead to larger cells and/or greater number of cells. This type of increase can boost fruit yield. The coding sequence of the cell wall synthesis protein under the control of a strong early stage promoter would increase fruit size or number.

A pectinesterase gene was also differentially expressed during fruit development, cDNA ID 1396123. Pectinesterase catalyzes the hydrolysis of pectin into pectate and methanol. This biochemical activity plays an important role in cell wall metabolism during fruit ripening. To shorten the time for fruit ripening, extra copies of this gene with its endogenous promoter can be inserted into a desired plant. With its native promoter, the extra copies of the gene will be expressed at the normal time, to promote extra pectinesterase at the optimal stage of fruit development thereby shortening ripening time.

A number of Applicant's experiments can be grouped together to study changes of transcript levels over a number development stages. Below are examples of groups of experiments:

• • a Root, Root Tip, and rhl mutant (EXPT IDs 108594, 108433, 108599, 108434, 108439)
  • Flowers Drought Exposed Flowers, SA Treated Flowers (EXPT IDs 108473, 108474, 108429, 108430, 108431, 108475, 108476, 108501)
  • BR Shoot Apices, Leaves, Stm (EXPT IDs 108478, 108479, 108480, 108481, 108598, 108535, 108536, 108435)
  • Leaf and Stm (EXPT IDs 108477, 108512, 108497, 108498, 108598, 108478, 108479, 108480, 108481, 108598, 108535, 108536, 108435)
  • Imbibded & Germinating Seeds 1, 2, 3, And 4 Days (EXPT IDs 108461, 108462, 108463, 108464, 108528, 108529, 108530, 108531, 108545, 108546, 108547, 108518, 108529, 108543, 108544)
  • Tissue Specific Expression (3 week rosette leaves, Tissue Specific Expression (3 week stems), Tissue Specific Expression (2 week roots) (EXPT IDs 108497, 108498, 108439)
  • Tissue Specific Expression (3 week rosette leaves), Germinating Seeds (EXPT IDs 108497, 108461)
  • Tissue Specific Expression (3 week rosette leaves, stm mutants, BR_Shoot Apices Expt, root tips, Tissue Specific Expression (2 week roots) (EXPT IDs 108497, 108435, 108480, 108434, 108439)
  • BR_Shoot Apices Expt, root tips, Tissue Specific Expression (flower buds) (EXPT IDs 108480, 108434, 108431)
  • Arab_Ler-pi_ovule_—1, ap2-floral buds, Tissue Specific Expression (flower buds), Tissue Specific Expression (<5 mm siliques) (EXPT IDs 108595, 108501, 108431, 108437)
  • Tissue Specific Expression (2 week roots), rhl mutant2, BR_Shoot Apices Expt, Trichome Inflorescences (EXPT IDs 108439, 108433, 108480, 108452)

II.A.1.b.3. Proteins that are Common in a Number of Similar Responses can be Identified by Transcriptional Analyses Over a Number of Experiments

The differential expression experiments also reveal the genes, and therefore the coding sequence, that are common to a number of cellular responses. By identifying the genes that are differentially expressed in a number of similar responses, the genes at the nexus of a range of responses are discovered. For example, genes that are differentially expressed in all the stress responses are at the hub of many of the stress response pathways.

These types of nexus genes, proteins, and pathways are differentially expressed in many or majority of the responses or developmental conditions of interest. Typically, a nexus gene, protein, or pathway is differentially expressed in generally the same direction in many or majority of all the desired experiments. By doing so, the nexus gene can be responsible for triggering the same or similar set of pathways or networks for various cellular responses. This type of gene is useful in modulating pleiotropic effects or triggering or inhibiting a general class of responses.

When nexus genes are differentially expressed in a set of responses, but in different directions, these data indicate that a nexus gene is responsible for creating the specificity in a response by triggering the same pathway but to a different degree. Placing such nexus genes under a constitutive promoter to express the proteins at a more constant level can remove the fluctuations. For example, a plant that is better drought adapted, but not cold adapted can be modified to be tolerant to both conditions by placing under the control of a constitutive promoter a nexus gene that is up-regulated in drought but down regulated in cold.

Applicants' experiments can be grouped together to identify such nexus genes. Examples of these groups are as follows:

• • Herbicide Response
    • Trimec, Finale, Glean, Round-up (EXPT IDs 108467, 107871, 107876, 108468, 107881, 108465, 107896, 108466, 107886, 107891)
  • Stress Response
    • Drought, Cold, Heat, Osmotic Stress (EXPT IDs 108578, 108579, 108533, 108534, 108572, 108573, 108502, 108503, 108504, 108556, 108482, 108483, 108473, 108474, 108477, 108576, 108577, 108522, 108523, 108570, 108571, 108541, 108542, 108553, 108539, 108540)
    • Drought, Cold, Heat, PEG, Trimec, Finale, Glean, Round-up (EXPT IDs 108578, 108579, 108533, 108534, 108572, 108573, 108502, 108503, 108504, 108556, 108482, 108483, 108473, 108474, 108477, 108576, 108577, 108522, 108523, 108570, 108571, 108541, 108542, 108553, 108539, 108540)
    • Wounding, SA, MeJA, Reactive Oxygen, NO (EXPT IDs 108568, 108569, 108555, 108584, 108585, 108526, 108527, 108559, 108582, 108583, 108537, 108538, 108558, 108586, 108587, 108515, 108552, 108471, 108472, 108469, 108470, 107953, 107960, 108443, 108440, 108441, 108475, 108476, 108574, 108575, 108524, 108525)
  • Hormone Responses
    • NAA, BA, BR, GA, TRIMEC (EXPT IDs 108566, 108567, 108517, 108580, 108581, 108557, 108478, 108479, 108480, 108481, 108562, 108563, 108519, 108520, 108521, 108484, 108485, 108486, 108564, 108565, 108516, 108554, 108466, 107886, 107891)
    • NAA, Trimec (EXPT IDs 108566, 108567, 108517, 108580, 108581, 108557, 108478, 108479, 108480, 108481, 108562, 108563, 108519, 108520, 108521, 108484, 108485, 108486, 108564, 108565, 108516, 108554, 108466, 107886, 107891)

II.A.1.b.4. Proteins that are Common to Disparate Responses can be Identified by Transcriptional Analyses Over a Number of Experiments

Phenotypes and traits result from complex interactions between cellular pathways and networks. Which pathways are linked by expression of common genes to specify particular traits can be discerned by identifying the genes that show differential expression of seemingly disparate responses or developmental stages. For example, hormone fluxes in a plant can direct cell patterning and organ development. Genes that are differentially expressed both in the hormone experiments and organ development experiments would be of particular interest to control plant development.

Examples of Such Pathway Interactions Include:

• • (i) The Interaction Between Stress Tolerance Pathways And Metabolism Pathways;
  • (ii) Interaction Between Hormone Responses And Developmental Changes In The Plant;
  • (iii) Interactions Between Nutrient Uptake And Developmental Changes;
  • (iv) Mediation Of Stress Response By Hormone Responses; And
  • (v) Interactions Between Stress Response And Development.Applicant's experiments can be grouped together to identify proteins that participate in interacting pathways or networks. Specific groups of experiments include, for example:

(i) Stress & Metabolism

• • Germinating Seeds (Day 1), Arab_—0.1uM_Epi-Brass_—1, Arab_NO3_H-to-L_—1, Arab_—100uM_GA3_—1 (EXPT IDs 108461, 108580, 108592, 108562)

(ii) Hormones & Development

• • NAA, BA & Root Tips (EXPT IDs 108566, 108567, 108517, 108564, 108565, 108516, 108554, 108434, 108466, 107886, 107891)
  • NAA, Roots & Root Tips (EXPT IDs 108564, 108565, 108516, 108554, 108599, 108434, 108439, 108466, 107886, 107891)
  • NAA, BA, Roots And/Or Root Tips (EXPT IDs 108564, 108565, 108516, 108554, 108599, 108434, 108439, 108466, 107886, 107891, 108566, 108567, 108517)
  • NAA, BA And Leaf (EXPT IDs 108566, 108567, 108517, 108518, 108529, 108512, 108497, 108498, 108598, 108564, 108565, 108516, 108554, 108466, 107886, 107891)
  • NAA, BA, Leaves, Roots And/Or Root Tips (EXPT IDs 108566, 108567, 108517, 108518, 108529, 108512, 108497, 108498, 108598, 108564, 108565, 108516, 108554, 108466, 107886, 107891, 108599, 108434, 108439)
  • ABA & Siliques (Of Any Size) (EXPT IDs 108560, 108561, 108513, 108597, 108436, 108437, 108438)
  • GA, Imbibed & Germinating Seeds, ABA & Siliques (Of Any Size) (EXPT IDs 108560, 108561, 108513, 108597, 108562, 108563, 108519, 108520, 108521, 108484, 108485, 108486, 108461, 108462, 108463, 108464, 108528, 108529, 108530, 108531, 108545, 108546, 108547, 108518, 108529, 108543, 108544, 108436, 108437, 108438)
  • Tissue Specific Expression (3 week rosette leaves), Arab_—0.1uM_Epi-Brass_—1, Arab_—100uM_GA3_—1, Germinating Seeds (Day 1), (EXPT IDs 108461, 108497, 108580, 108562, 108461)

(iii) Nutrient Uptake And Development

• • Any Or All Nitrogen Experiments With Siliques (Of Any Size) (EXPT IDs 108592, 108593, 108588, 108589, 108590, 108591, 108532, 108548, 108549, 108550, 108551, 108454, 108455, 108487, 108488, 108489, 108436, 108437, 108438)
  • Any Or All Nitrogen Experiments With Roots Or Root Tips (EXPT IDs 108518, 108529, 108592, 108593, 108588, 108589, 108590, 108591, 108532, 108548, 108549, 108550, 108551, 108454, 108455, 108487, 108488, 108489, 108594, 108433, 108599, 108434, 108439)

(iv) Stress & Hormones

• • ABA, Drought (EXPT IDs 108560, 108561, 108513, 108597, 108572, 108573, 108502, 108503, 108504, 108556, 108482, 108483, 108473, 108474, 108477)
  • ABA, Drought, Cold, Heat, & Wounding (EXPT IDs 108560, 108561, 108513, 108597, 108578, 108579, 108533, 108534, 108572, 108573, 108502, 108503, 108504, 108556, 108482, 108483, 108473, 108474, 108477, 108576, 108577, 108522, 108523, 108574, 108575, 108524, 108525)
  • Tissue Specific Expression (3 week rosette leaves), Arab_—100uM_ABA_—1, Ws Arabidopsis Drought 2 days, Ws Arabidopsis Drought 4 days (EXPT IDs 108497, 108560, 108477, 108482)

(v) Stress & Hormones Stress & Hormones

• • Nitrogen High transition to Low, Arab_NO3_H-to-L_—1, Tissue Specific Expression (<5 mm siliques), Tissue Specific Expression (5-10 mm siliques) (EXPT IDs 108455, 108592, 108437, 108436)

II.A.1.c. Observations of Phenotypic Changes Show What Physiological Consequences Applicants' Proteins can Produce

Another direct means of determining the physiological consequences of a protein is to make aberrant decreases or increases of its expression level in a cell. To this end, Applicants have produced plants where specific genes have been disrupted, or produced plants that include an extra expressed copy of the gene. The plants were then planted under various conditions to determine if any visible physiological changes are caused. These changes then are attributed to the changes in protein levels.

II.A.2. Differential Expression Results Explain which External or Internal Stimuli Trigger the Regulatory Sequences

Transcriptional studies can reveal the time and place that genes are expressed. Typically, regulatory sequences, such as promoters, introns, UTRs, etc., control when and in which cells transcription occurs. Differential studies can explain the temporal- and location-specific regulatory sequences that control transcription.

Using the experiments that are provided herein, one skilled in the art can choose a promoter or any other regulatory sequence that is capable of facilitating the desired pattern of transcription. For example, if a promoter is needed to give rise to increased levels of transcription in response to Auxin, but little expression in response to cytokinin, then the promoters of cDNAs that were up-regulated in the Auxin experiments, but down-regulated the cytokinin experiments would be of interest.

Time Course Experiments—Time Sensitive

Evaluation of time-course data as described above is also useful to identify time-specific promoters. Promoters or regulatory sequences, like the coding sequences, can be classified as early or late responding according to the microarray data. Promoters that facilitate expression of early or late genes are useful to direct expression of heterologous coding sequences to modulate the cellular response. In the drought data, promoters from “early” responding genes can be selected to activate expression of any desired coding sequence. Thus, a coding sequence for a salt-tolerance protein that is not typically expressed early in response to drought could be linked to an “early” responding promoter to increase salt tolerance within one hour after exposure to drought conditions.

Developmental Experiments—Time Sensitive

Another class of time-sensitive promoters and other regulatory sequence can be identified from the experiments examining different developmental stages. These regulatory sequences can drive transcription of heterologous sequence at particular times during development. For example, expression of stress-responsive genes during fruit development can protect any gain in fruit yield.

Common to Many Pathways—Cause General Effects

Promoters and other regulatory sequence associated with cDNAs that are differentially expressed in a number of similar responses can be used to cause general effects. These types of regulatory sequences can be used to inhibit or increase expression of a desired coding sequence in a number circumstances. For example, protein that is capable of acting as an insecticide can be placed under the control a general “stress” promoter to increase expression, not only when the plant is wounded, but under other stress attack.

II.B. Experimental Results Also Reveal Pathways or Networks of Genes

II.B.1. Genes Whose Transcription are Well Coordinated Generally Act Together to Produce Proteins that Participate in the Same Pathway or Network

Patrick Brown, one of the pioneers of microarray chip technology, demonstrated that differential expression experiments can identify groups of genes that encode proteins that participate the same pathway or network. The work focused on phosphate accumulation and metabolism genes in yeast and was published in the paper Ogawa et al., Mol Biol Cell (2000) December; 11(12):4309-21. The authors identified by microarray analysis 22 genes whose transcription was regulated by phosphate concentration. Promoter analysis of these genes showed that 21 of them contained a sequence in their promoters that is recognized by a transcriptional activator that is regulated by phosphate. Further, phenotypic studies were completed by mutational analysis of many of these 22 genes in yeast. The mutants were shown to be either severely deficient in accumulation of inorganic polyphosphate (polyP) and P(i), or associated with normal catabolism of polyP in the yeast vacuole. This publication proves that genes with correlated transcriptional profiles do indeed participate in the same pathway or network.

II.B.1.a. Calculating the Correlation Coefficient Between Pairs of Genes Based on the Differential Expression Data

The differential expression data obtained over many experiments reveal the global pattern of transcription of a gene. Transcription patterns, also referred to as profiles, of two different genes can be compared. From this comparison, a correlation coefficient can be calculated as a measure of the strength of the relationship between the two profiles.

Transcription profiles can be compared by plotting as a point, the differential expression of gene1 on the x-axis and gene 2 on the y-axis on one experiment. If all the pairs lie on a regression line the relationship and correlation between the two genes are strong. The correlation coefficient can be calculated using a number of methods. In the present case, the Spearman method was utilized.

The correlation coefficient can vary from −1 to 1. The coefficient indicates the strength of the relationship between two mRNA transcripts of any set of data that is examined. A zero coefficient indicates that no correlation exists between the transcription profiles of two genes in the samples examined.

Biologically, a high correlation coefficient indicates that a gene(s) triggers the activation or repression of the correlated genes, or have related functional roles. Thus, illumination of the activity of one gene can indicate the activities of the genes with highly correlated transcription profiles. This implication is true whether the activity is a biochemical activity, molecular interaction, cellular response, or physiological consequence.

II.B.1.b. The Complete Linkage Analyses of Differential Identity Genes with Similar Pattern of Transcription

The complete linkage analysis can build groups (or “clusters”) of genes whose transcription patterns are highly correlated or co-regulated.

Because genes with related functions are frequently expressed in similar patterns, utilities or roles can be ascribed for genes (without observation of transformed plants) based on their temporal association with other genes of known function (a “guilt-by-association” analysis). Ogawa et al. has used correlated mRNA transcription profiles to identify the function of proteins of unknown function.

The complete linkage analysis utilizes the correlation coefficients that are calculated for each pair of genes tested in the microarray experiments. A cluster is first seeded with any arbitrary transcript tested on the chip. The seed transcript, for this illustration, is designated mRNA#0. Next, a minimum threshold is chosen for all acceptable correlation coefficients. In this case, the threshold used was 0.75. A list of potential cluster members is compiled by choosing mRNA transcripts that have a correlation coefficient with mRNA#0 that is greater than the threshold. No limit is placed on the number of mRNAs that can be added to a cluster so long as the correlation coefficient meets the threshold limit criterion.

For this example, assume that four mRNAs were added to the cluster, mRNA_—1 to mRNA_—4. Once the potential cluster members are identified, the cDNA IDs of each member is added to the potential list in order its correlation coefficient to mRNA#1, the largest correlation coefficient first. For this example, let's suppose four mRNAs 1-4 are potential members, they would be ordered as follows:

       Correlation Coefficient
MRNA#  with mRNA#0
MRNA#1 0.9
MRNA#2 0.8
MRNA#3 0.78
MRNA#4 0.75

A potential member is accepted into the group, if its correlation coefficients with all other potential members are all greater than the threshold. Thus, for mRNA#1 to remain in the group the correlation coefficient between mRNA#1 and mRNA#2 must be greater than 0.75; and mRNA#1 and #3>0.75; and mRNA#1 and mRNA#4>0.75. Potential cluster members are removed only after reviewing the correlation coefficients in a specific order where mRNAs are reviewed in the order that they appear on the list.

Consequently, review of the correlation coefficients does not begin with any random pair, such as mRNA#3 and mRNA#4. The review begins between mRNA#1 and mRNA#2, which are the top two on the list.

If correlation coefficient between mRNA#1 and mRNA#2 is less than the threshold, then mRNA#2 is removed from the cluster. mRNA#2 is removed because its correlation coefficient with mRNA#0 is 0.8 which is less than 0.9, the correlation coefficient of mRNA#1 and mRNA#0.

This illustrates the rule that if the correlation coefficient is less than the threshold, then only one of the pair not accepted as a cluster member, specifically, the one with the lower coefficient to the seed mRNA#0.

This process of iterative reviewing of correlation coefficients between potential members continues until all pairs are reviewed. In this case, the coefficient between mRNA#1 and mRNA#3 would be reviewed because these are the two highest ones on the list besides mRNA#1 and #2. The next pair to be reviewed would be mRNA#1 and #4, etc.

Applicants have analyzed the data using several sets of parameters for the complete linkage analysis as shown in the table below:

	Correlation
	Coefficient	Max number of members in a
Method	Threshold	cluster	Organism
CL_METHOD_TYPE =	0.9	MAX_SIZE = 15	Arabidopsis
TRUE
CL_METHOD_TYPE =	0.75	MAX_SIZE = 30000	Arabidopsis
TRUE
CL_METHOD_TYPE =	0.70	MAX_SIZE = 30000	Arabidopsis
TRUE
CL_METHOD_TYPE =	0.9	MAX_SIZE = 15	Zea
TRUE
CL_METHOD_TYPE =	0.75	MAX_SIZE = 30000	Zea
TRUE
CL_METHOD_TYPE =	0.70	MAX_SIZE = 30000	Zea
TRUE
CL_METHOD_TYPE =	0.9	MAX_SIZE = 15	Arabidopsis
TRUE
CL_METHOD_TYPE =	0.75	MAX_SIZE = 30000	Arabidopsis
TRUE
CL_METHOD_TYPE =	0.70	MAX_SIZE = 30000	Arabidopsis
TRUE
CL_METHOD_TYPE =	0.9	MAX_SIZE = 15	Zea
TRUE
CL_METHOD_TYPE =	0.75	MAX_SIZE = 30000	Zea
TRUE
CL_METHOD_TYPE =	0.70	MAX_SIZE = 30000	Zea
TRUE

The results of these cluster analyses are reported in the MA_clust table.

II.B.1.c. The Nearest Neighbor Analyses of Differential Group Genes with Correlated but Dissimilar Transcription Profiles

The nearest neighbor analysis differs from the complete linkage algorithm by not requiring all members to meet the correlation threshold with each other. Thus, a member of a nearest neighbor cluster need only be closely correlated to one other member of the cluster. It is not even required that all members be closely correlated to the seed mRNA transcript.

In a complete linkage cluster all the transcription profile of all members are correlated to a greater or lesser extent. In contrast, a cluster deduced by the nearest neighbor analysis may include members with differing transcription profiles. However, nearest neighbor brings to light clusters of interacting genes. In the nearest neighbor analysis, the seed mRNA may not have a very high correlation coefficient with the last mRNA added to the cluster.

The nearest neighbor analysis, like the complete linkage analysis, is initiated by seeding each cluster with a mRNA_—0. The cluster size is determined by setting a threshold coefficient and setting a limit on the number of members that can be added to the cluster.

The cluster is expanded in an iterative fashion determining which mRNA has the highest correlation coefficient with mRNA_—0. The additional member is labeled mRNA_—1. Next, a list of potential candidates is generated by finding the mRNA that has the highest correlation to mRNA_—0 (besides mRNA_—1) and finding the mRNA that has the highest coefficient with mRNA_—1. Whichever of the candidates has the highest correlation coefficient is added to the cluster. Then, a list of three potential candidates is generated similarly.

Addition of members continues until either (1) all the correlation coefficients of potential members is lower than the threshold or (2) number of members in the cluster meets the size limitation.

Applicants have analyzed the data using several sets of parameters for the nearest neighbor analysis as shown in the table below:

	Correlation
	Coefficient	Max number
Method	Threshold	of members in a cluster	Organism
NN_METHOD_TYPE = TRUE	0.5	MAX_HITS = 15	Arabidopsis
FULL_NN_METHOD_TYPE =	0.8	NONE	Arabidopsis
TRUE
FULL_NN_METHOD_TYPE =	0.6	NONE	Arabidopsis
TRUE
NN_METHOD_TYPE = TRUE	0.5	MAX_HITS = 15	Zea
FULL_NN_METHOD_TYPE =	0.8	NONE	Zea
TRUE
FULL_NN_METHOD_TYPE =	0.6	NONE	Zea
TRUE
NN_METHOD_TYPE = TRUE	0.5	MAX_HITS = 15	Arabidopsis
FULL_NN_METHOD_TYPE =	0.8	NONE	Arabidopsis
TRUE
FULL_NN_METHOD_TYPE =	0.6	NONE	Arabidopsis
TRUE
NN_METHOD_TYPE = TRUE	0.5	MAX_HITS = 15	Zea
FULL_NN_METHOD_TYPE =	0.8	NONE	Zea
TRUE
FULL_NN_METHOD_TYPE =	0.6	NONE	Zea
TRUE

The results of these cluster analyses are reported in the MA_clust table.

II.C. Experimental Results Reveal the Functions and Characteristics of Genes, Pathways and Networks

II.C.1. Linking Biochemical or Metabolic Activities of One Protein in a Cluster to the Other Proteins in the Same Microarray Cluster

As shown in the Ogawa et al., Mol Biol Cell (2000), genes whose transcription profiles cluster together as being strongly correlated typically take part in the same pathway or network. Thus, the activity of one gene in the cluster can be associated to the other genes in the cluster with highly correlated transcription profiles. This association is true whether the activity is a biochemical activity, molecular interaction, cellular response or physiological consequence.

One example of this is cluster 420 of the report (shown below). In this cluster, a protein encoded by cDNA ID 1025791 did not match to any pFAM domain. However, through the microarray data, the gene that encodes that protein had a transcription profile that was correlated with other genes that encode ribosomal proteins. Thus, the activity of the ribosomal genes can be associated with the protein with no pFAM match. All the proteins in the same cluster would be associated with mRNA translation and protein synthesis.

405	4772428|	49012	4741952	(AF134126)	chloroa_b-	Chlorophyll
	pheno			Lhcb3	bind	A-B binding
				protein		proteins
				[Arabidopsis
				th
405	4901465|	49012	4741952	(AF134126)	chloroa_b-	Chlorophyll
	pheno			Lhcb3	bind	A-B binding
				protein		proteins
				[Arabidopsis
				th
405	4913083|		1345698	CHLOROPHYLL	chloroa_b-	Chlorophyll
	pheno			A-B	bind	A-B binding
				BINDING		proteins
				PROTEIN
				151 PREC
405	5754134|	833168	1345698	CHLOROPHYLL	chloroa_b-	Chlorophyll
	pheno			A-B	bind	A-B binding
				BINDING		proteins
				PROTEIN
				151 PREC
406	1018755|	806154	1710549	60S	Ribosomal_L39	Ribosomal
	pheno			RIBOSOMAL		L39 protein
				PROTEIN
				L39
406	1032316|	811467	11276649	RIBOSOMAL	Ribosomal_S28e	Ribosomal
	pheno			PROTEIN		protein S28e
				S28-like -
				Arabidopsis
406	3433904|	819486	11762182	(AF325017)	Ribosomal_S10	Ribosomal
	pheno			T21L8.120		protein
				[Arabidopsis		S10p/S20e
				thalia
405	4772428|	49012	4741952	(AF134126) Lhcb3	chloroa_b-	Chlorophyll A-B
	pheno			protein [Arabidopsis th	bind	binding proteins
405	4901465|	49012	4741952	(AF134126) Lhcb3	chloroa_b-	Chlorophyll A-B
	pheno			protein [Arabidopsis th	bind	binding proteins
405	4913083|		1345698	CHLOROPHYLL A-B	chloroa_b-	Chlorophyll A-B
	pheno			BINDING PROTEIN 151	bind	binding proteins
				PREC
405	5754134|	833168	1345698	CHLOROPHYLL A-B	chloroa_b-	Chlorophyll A-B
	pheno			BINDING PROTEIN 151	bind	binding proteins
				PREC
406	1018755|	806154	1710549	60S RIBOSOMAL	Ribosomal_L39	Ribosomal L39
	pheno			PROTEIN L39		protein
406	1032316|	811467	11276649	RIBOSOMAL PROTEIN	Ribosomal_S28e	Ribosomal Protein
	pheno			S28-like - Arabidopsis		S28e
406	3433904|	819486	11762182	(AF325017) T21L8.120	Ribosomal_S10	Ribosomal protein
	pheno			[Arabidopsis thalia		S10p/S20e
406	4772776|	512850	6521012	(AB031739) cytoplasmic	Ribosomal_S15	Ribosomal protein
	pheno			ribosomal protein		S15
407	4283441|	822607	7670036	(AB026636)
	pheno			gb|AAD22658.1~gene_id:
				K14A17
407	4773015|	47667	7670036	(AB026636)
	pheno			gb|AAD22658.1~gene_id:
				K14A17
407	5776387|	834698	6006279	(AB015859) photosystem
	pheno			II 22 kDa protein
408	1023210|	306382	3882081	(AJ012552) polyubiquitin	ubiquitin	Ubiquitin family
	pheno			[Vicia faba] gi
408	5670300|		7439572	ubiquitin homolog	ubiquitin	Ubiquitin family
	pheno			T8F5.13 - Arabidopsis
408	5671852|	824621	7439572	ubiquitin homolog	ubiquitin	Ubiquitin family
	pheno			T8F5.13 - Arabidopsis
409	1021923|	773758	7488279	protein phosphatase 2C	PP2C	Protein
	pheno			homolog F11C18.60		phosphatase 2C
409	2992261|		7435459	alpha-galactosidase (EC	Melibiase	Melibiase
	pheno			3.2.1.22) - soyb
409	4801635|	833808	2462761	(AC002292) Highly	aldo_ket_red	Aldo/keto
	pheno			similar to auxin-induc		reductase family
41	1012078|	824731	8096347	(AB042810) NAD-	adh_zinc	Zinc-binding
	pheno			dependent sorbitol		dehydrogenases
				dehydr
41	1377714|	790347	8096347	(AB042810) NAD-	adh_zinc	Zinc-binding
	pheno			dependent sorbitol		dehydrogenases
				dehydr
41	1441460|	824732	8096347	(AB042810) NAD-	adh_zinc	Zinc-binding
	pheno			dependent sorbitol		dehydrogenases
				dehydr
410	1008443|	736633	9758519	(AB024025) ribosomal	Ribosomal_S27e	Ribosomal protein
	pheno			protein S27 [Arabid		S27
410	1010094|	804644	6174956	60S RIBOSOMAL	Ribosomal_L7Ae	Ribosomal protein
	pheno			PROTEIN		L7Ae/L30e/S12e/Gadd45
				L7A gi|7440707|pir
410	1024837|	576803	7441024	ribosomal protein L23a,	Ribosomal_L23	Ribosomal protein
	pheno			cytosolic - Arab		L23
410	1031267|	824697	9802763	(AC008046) Putative	Ribosomal_L35Ae	Ribosomal protein
	pheno			ribosomal protein [A		L35Ae
410	1032498|		730526	60S RIBOSOMAL	Ribosomal_L13e	Ribosomal protein
	pheno			PROTEIN L13 (BBC1		L13e
				PROTEIN
410	1383552|	50902	7442279	probable acyl carrier	pp-binding	Phosphopantetheine
	pheno			protein T8F5.6 - A		attachment site
410	4899830|	720622	11276861	60S RIBOSOMAL	Ribosomal_L24	KOW motif
	pheno			PROTEIN-like -
				Arabidopsis
411	1008443|	736633	9758519	(AB024025) ribosomal	Ribosomal_S27e	Ribosomal protein
	pheno			protein S27 [Arabid		S27
411	4899873|		10176963	(AB008266)	Ribosomal_S28e	Ribosomal protein
	pheno			gene_id: MHJ24.13~similar		S28e
				to u
411	5776417|	834706	7715609	(AC010793) F20B17.4	Na_H_Exchanger	Sodium/hydrogen
	pheno			[Arabidopsis thalian		exchanger family
412	1014406|		6714454	(AC011620) putative 60S	Ribosomal_L22e	Ribosomal L22e
	pheno			ribosomal protei		protein family
412	4900035|	763830	4678226	(AC007135) 40S	Ribosomal_S11	Ribosomal protein
	pheno			ribosomal protein S14 [Ar		S11
412	5773772|	747111	12325151	(AC016662) putative 60S	Ribosomal_L6e	Ribosomal protein
	pheno			ribosomal protei		L6e
413	1809157|	490070	7440305	ribosomal protein S20,	Ribosomal_S10	Ribosomal protein
	pheno			cytosolic - Arabi		S10p/S20e
413	4900353|	729532	4263826	(AC006067) unknown
	pheno			protein [Arabidopsis
413	5756166|	732086	11358793	RNA binding protein-like -	rrm	RNA recognition
	pheno			Arabidopsis t		motif. (a.k.a. RRM,
						RBD,
414	3433862|		6225833	PROLIFERATING CELL	PCNA	Proliferating cell
	pheno			NUCLEAR ANTIGEN		nuclear antigen
				(PCNA
414	4901133|	714959	7440568	ribosomal protein S27	Ribosomal_S27e	Ribosomal protein
	pheno			cytosolic - Arabi		S27
414	4978201|	802742	3122753	60S RIBOSOMAL	Ribosomal_L44	Ribosomal protein
	pheno			PROTEIN		L44
				L44 gi|7440769|pir
415	1008443|	736633	9758519	(AB024025) ribosomal	Ribosomal_S27e	Ribosomal protein
	pheno			protein S27 [Arabid		S27
415	1031291|	379314	12229933	40S RIBOSOMAL	Ribosomal_L7Ae	Ribosomal protein
	pheno			PROTEIN S12-		L7Ae/L30e/S12e/Gadd45
				B gi|4263712|g
415	1386998|	47924	11066135	(AF195545) putative	zf-C2H2	Zinc finger, C2H2
	pheno			histone deacetylase		type
415	4772398|	769390	9759463	(AB006696) 40S	Ribosomal_S19e	Ribosomal protein
	pheno			ribosomal protein S19 [Ar		S19e
415	4901736|	111892	9758556	(AB006703)
	pheno			gene_id: MRH10.8~pir||T00965~s
416	1008148|	761370	8953720	(AB025606) contains
	pheno			similarity to 40S ri
416	1024236|	57022	3122673	60S RIBOSOMAL	Ribosomal_L15e	Ribosomal L15
	pheno			PROTEIN
				L15 gi|7441105|pir
416	1387671|	822158	1350664	60S RIBOSOMAL	Ribosomal_L13e	Ribosomal protein
	pheno			PROTEIN L13 (CLONE		L13e
				6.2.1)
416	1442476|	706502	3123264	60S RIBOSOMAL	Ribosomal_L27e	Ribosomal L27e
	pheno			PROTEIN		protein family
				L27 gi|7441032|pir
416	4282667|	822768	7549643	(AC023912) ribosomal	Ribosomal_L29e	Ribosomal L29e
	pheno			protein L29, putati		protein family
416	4909449|	833360	1173045	60S RIBOSOMAL	Ribosomal_L37ae	Ribosomal L37ae
	pheno			PROTEIN		protein family
				L37A gi|421866|pir
416	5773091|	834732	7262674	(AC012188) Strong	Ribosomal_L10e	Ribosomal L10
	pheno			similarity, practicall
417	1017282|	666913	464707	40S RIBOSOMAL	Ribosomal_S13	Ribosomal protein
	pheno			PROTEIN		S13/S18
				S18 gi|480908|pir|
417	1022748|	706504	3123264	60S RIBOSOMAL	Ribosomal_L27e	Ribosomal L27e
	pheno			PROTEIN		protein family
				L27 gi|7441032|pir
417	1023297|	781025	11276884	60S RIBOSOMAL	Ribosomal_L36e	Ribosomal protein
	pheno			PROTEIN L36 homolog -		L36e
				Arab
417	1031799|	706181	6714451	(AC011620) putative 60S	Ribosomal_L18e	Eukaryotic
	pheno			ribosomal protei		ribosomal protein
						L18
417	3439213|	437454	1173045	60S RIBOSOMAL	Ribosomal_L37ae	Ribosomal L37ae
	pheno			PROTEIN		protein family
				L37A gi|421866|pir
417	4771334|	802750	11762182	(AF325017) T21L8.120	Ribosomal_S10	Ribosomal protein
	pheno			[Arabidopsis thalia		S10p/S20e
417	4911380|	576635	7488307	ribosomal protein L14	Ribosomal_L14e	Ribosomal protein
	pheno			homolog T24A18.40		L14
417	5668292|	820676	3122753	60S RIBOSOMAL	Ribosomal_L44	Ribosomal protein
	pheno			PROTEIN		L44
				L44 gi|7440769|pir
418	1021968|	576661	2651314	(AC002336) 40S	Ribosomal_S26e	Ribosomal protein
	pheno			ribosomal protein S26 [Ar		S26e
418	3438734|		7549643	(AC023912) ribosomal	Ribosomal_L29e	Ribosomal L29e
	pheno			protein L29, putati		protein family
418	4914438|	822558	7549645	(AC023912) ribosomal	Ribosomal_L29e	Ribosomal L29e
	pheno			protein L29, putati		protein family
419	5662893|	818613	7269839	(AL161574) putative	Ribosomal_L28e	Ribosomal L28e
	pheno			protein [Arabidopsis		protein family
419	5664311|	818503	3122724	60S RIBOSOMAL	Ribosomal_L38e	Ribosomal L38e
	pheno			PROTEIN		protein family
				L38 gi|11276909|pi
419	5758021|	833994	6714451	(AC011620) putative 60S	Ribosomal_L18e	Eukaryotic
	pheno			ribosomal protei		ribosomal protein
						L18
42	1012110|	778738	6503304	(AC011713) Strong	DnaJ	DanJ domain
	pheno			similarity to gb|AF099
42	1383485|	379673	2129729	senescence-associated	Rhodanese	Rhodanese-like
	pheno			protein sen1 - Ara		domain
42	2187156|	796738	2129729	senescence associated	Rhodanese	Rhodanese-like
	pheno			protein sen1 - Ara		domain
42	4577400|	576861
	pheno
420	1025791|	803433	4585878	(AC005850) Unknown
				protein [Arabidopsis
420	4608965|	671877	8567795	(AC013428) 40S	Ribosomal_S17e	Ribosomal S17
				ribosomal protein S17, pu
420	5663116|	818554	7486478	hypothetical protein	DapB	Dihydrodipicolinate
				F6E13.17 - Arabidop		reductase
421	1030821|		9757825	(AB007651) 60S	Ribosomal_L1	L1P family of
	pheno			ribosomal protein L10A [A		ribosomal proteins
421	1976457|	145369	166867	(J05216) ribosomal	Ribosomal_S17	Ribosomal protein
	pheno			protein S11 (probable		S17
421	5663301|	822232	9757825	(AB007651) 60S	Ribosomal_L1	L1P family of
	pheno			ribosomal protein L10A [A		ribosomal proteins
421	5664362|	215197	9757825	(AB007651) 60S	Ribosomal_L1	L1P family of
	pheno			ribosomal protein L10A [A		ribosomal proteins
422	1007370|	358288	7440340	ribosomal protein S14,	Ribosomal_S11	Ribosomal protein
	pheno			cytosolic - Arabi		S11
422	1012349|		7440636	ribosomal protein L8,	Ribosomal_L2	Ribosomal
	pheno			cytosolic - Arabid		Proteins L2
422	4767515|	803201	5912424	(AJ242970) BTF3b-like	NAC	NAC domain
	pheno			factor [Arabidopsi
422	4978201|	802742	3122753	60S RIBOSOMAL	Ribosomal_L44	Ribosomal protein
	pheno			PROTEIN		L44
				L44 gi|7440769|pir
422	5663862|	56862	7440560	ribosomal protein S25,
	pheno			cytosolic - Arabi
422	5677309|	804632	464707	40S RIBOSOMAL	Ribosomal_S13	Ribosomal protein
	pheno			PROTEIN		S13/S18
				S18 gi|480908|pir|
423	1569568|	57302	12323985	(AC015450) unknown
	pheno			protein; 83277-83927
423	5667720|	436439	4314401	(AC006232) putative	Glyco_hydro_17	Glycosyl
	pheno			beta-1,3-glucanase [		hydrolases family
						17
423	5677344|	735070	9758647	(AB011485)
	pheno			gene_id: MXH1.11~pir||T10200~s
424	1442476|	706502	3123264	60S RIBOSOMAL	Ribosomal_L27e	Ribosomal L27e
	pheno			PROTEIN		protein family
				L27 gi|7441032|pir
424	2991489|	674871	11276881	ribosomal protein L35a,	Ribosomal_L35Ae	Ribosomal protein
	pheno			cytosolic [simil		L35Ae
424	3438734|		7549643	(AC023912) ribosomal	Ribosomal_L29e	Ribosomal L29e
	pheno			protein L29, putati		protein family
424	3439472|	803062	10176775	(AB013392) 60S	Ribosomal_L31e	Ribosomal protein
	pheno			ribosomal protein L31 [Ar		L31e
424	4282667|	822768	7549643	(AC023912) ribosomal	Ribosomal_L29e	Ribosomal L29e
	pheno			protein L29, putati		protein family
424	5665234|	819865	7441176	ribosomal protein L35,	Ribosomal_L29	Ribosomal L29
	pheno			cytosolic - Arabi		protein
424	5667812|	786382	464638	60S RIBOSOMAL
	pheno			PROTEIN
				L41 gi|481283|pir|
424	5668292|	820676	3122753	60S RIBOSOMAL	Ribosomal_L44	Ribosomal protein
	pheno			PROTEIN		L44
				L44 gi|7440769|pir
424	5669508|		6714451	(AC011620) putative 60S	Ribosomal_L18e	Eukaryotic
	pheno			ribosomal protei		ribosomal protein
						L18
425	1379607|	53378	7486241	hypothetical protein
	pheno			F27F23.18 - Arabido
425	1396354|	52394	4895185	(AC007661) unknown
	pheno			protein [Arabidopsis
425	5668427|	490908	7440779	ribosomal protein L24	Ribosomal_L24e	Ribosomal protein
	pheno			homolog T13E15.13		L24e
426	1022748|	706504	3123264	60S RIBOSOMAL	Ribosomal_L27e	Ribosomal L27e
	pheno			PROTEIN		protein family
				L27 gi|7441032|pir
426	1032313|	48511	99771	ubiquitin/ribosomal	ubiquitin	Ubiquitin family
	pheno			protein S27a.1 —A
426	5668720|	498038	10176841	(AB005244) 40S	Ribosomal_S17	Ribosomal protein
	pheno			ribosomal protein S11 [Ar		S17
426	5754280|	835386	3860277	(AC005824) 60S	Ribosomal_L1	L1P family of
	pheno			ribosomal protein L10A [A		ribosomal proteins
426	5754419|	47796	11134742	40S RIBOSOMAL	Ribosomal_S24e	Ribosomal protein
	pheno			PROTEIN		S24e
				S24 gi|12322851|gb
427	1010385|	512919	11276730	acidic ribosomal protein	60s_ribosomal	60s Acidic
	pheno			P2-like - Arabi		ribosomal protein
427	1384016|	51641	12322852	(AC009465) putative 40S	Ribosomal_S3Ae	Ribosomal S3Ae
	pheno			ribosomal protei		family
427	4772398|	769390	9759463	(AB006696) 40S	Ribosomal_S19e	Ribosomal protein
	pheno			ribosomal protein S19 [Ar		S19e
427	5669025|	513703	7484789	acidic ribosomal protein	60s_ribosomal	60s Acidic
	pheno			P3a homolog F14		ribosomal protein
428	3435646|		4206765	(AF104329) putative type	PsbP	PsbP
	pheno			1 membrane prot
428	3437710|	48667	1644289	(X95727) chlorophyll a/b-	chloroa_b-	Chlorophyll A-B
	pheno			binding protein	bind	binding proteins
428	5669724|		7443149	photosystem I chain IV	PSI_PsaE	Photosystem I
	pheno			homolog F16A16.14		reaction centre
						subunit IV
429	1010094|	804644	6174956	60S RIBOSOMAL	Ribosomal_L7Ae	Ribosomal protein
	pheno			PROTEIN		L7Ae/L30e/S12e/Gadd45
				L7A gi|7440707|pir
43	1024126|	56624	464707	40S RIBOSOMAL	Ribosomal_S13	Ribosomal protein
	pheno			PROTEIN		S13/S18
				S18 gi|480908|pir|
43	1024993|	824724	12229932	40S RIBOSOMAL	Ribosomal_L7Ae	Ribosomal protein
	pheno			PROTEIN S12-		L7Ae/L30e/S12e/Gadd45
				A gi|6587799|g
43	1714831|	306741	11994560	(AP002038) 60S	Ribosomal_L30	Ribosomal protein
	pheno			ribosomal protein L7 [Ara		L30p/L7e
43	4901171|	824724	12229932	40S RIBOSOMAL	Ribosomal_L7Ae	Ribosomal protein
	pheno			PROTEIN S12-		L7Ae/L30e/S12e/Gadd45
				A gi|6587799|g
43	5671204|	808980	1710587	60S ACIDIC	Ribosomal_L10	Ribosomal protein
	pheno			RIBOSOMAL PROTEIN		L10
				P0 gi|74407
43	5753942|	157527	3860277	(AC005824) 60S	Ribosomal_L1	L1P family of
	pheno			ribosomal protein L10A [A		ribosomal proteins
43	5754280|	835386	3860277	(AC005824) 60S	Ribosomal_L1	L1P family of
	pheno			ribosomal protein L10A [A		ribosomal proteins
43	5758021|	833994	6714451	(AC011620) putative 60S	Ribosomal_L18e	Eukaryotic
	pheno			ribosomal protei		ribosomal protein
						L18
43	5773091|	834732	7262674	(AC012188) Strong	Ribosomal_L10e	Ribosomal L10
	pheno			similarity, practicall
430	1030231|	721378	11276860	ribosomal L23a-like	Ribosomal_L23	Ribosomal protein
	pheno			protein - Arabidopsi		L23
430	5663934|	819000	12322482	(AC025781) 60S	Ribosomal_L7Ae	Ribosomal protein
	pheno			ribosomal protein L30, pu		L7Ae/L30e/S12e/Gadd45
430	5671318|	823529	9294455	(AB012247)	Ribosomal_L37e	Ribosomal protein
	pheno			gene_id: MSL1.12~unknown		L37e
				prote
431	1027590|		6714285	(AC017118) F6N18.2
	pheno			[Arabidopsis thaliana
431	5671710|	721322	282865	chlorophyll a/b-binding	chloroa_b-	Chlorophyll A-B
	pheno			protein F28P10.1	bind	binding proteins
431	5759467|	835747	12324161	(AC022455) chlorophyll	chloroa_b-	Chlorophyll A-B
	pheno			A-B-binding prote	bind	binding proteins
431	5773759|	460944	4741950	(AF134125) Lhcb2	chloroa_b-	Chlorophyll A-B
	pheno			protein [Arabidopsis th	bind	binding proteins
432	2106017|	490151	10177906	(AB016886) 60S acidic	60s_ribosomal	60s Acidic
	pheno			ribosomal protein		ribosomal protein
432	5672842|	821491	10177906	(AB016886) 60S acidic	60s_ribosomal	60s Acidic
	pheno			ribosomal protein		ribosomal protein
432	5773091|	834732	7262674	(AC012188) Strong	Ribosomal_L10e	Ribosomal L10
	pheno			similarity, practicall
433	1023278|	706501	11994741	(AP001306) 60S	Ribosomal_L27e	Ribosomal L27e
	pheno			ribosomal protein L27 [Ar		protein family
433	1024236|	57022	3122673	60S RIBOSOMAL	Ribosomal_L15e	Ribosomal L15
	pheno			PROTEIN
				L15 gi|7441105|pir
433	1027760|	818470	11276653	ribosomal protein S26,	Ribosomal_S26e	Ribosomal protein
	pheno			cytosolic [simila		S26e
433	1029485|	54167	10092293	(AC021046) 60S	Ribosomal_L34e	Ribosomal protein
	pheno			ribosomal protein L34, pu		L34e
433	1387671|	822158	1350664	60S RIBOSOMAL	Ribosomal_L13e	Ribosomal protein
	pheno			PROTEIN L13 (CLONE		L13e
				6.2.1)
433	1442476|	706502	3123264	60S RIBOSOMAL	Ribosomal_L27e	Ribosomal L27e
	pheno			PROTEIN		protein family
				L27 gi|7441032|pir
433	2781341|		3860277	(AC005824) 60S	Ribosomal_L1	L1P family of
	pheno			ribosomal protein L10A [A		ribosomal proteins
433	3445482|		1173045	60S RIBOSOMAL	Ribosomal_L37ae	Ribosomal L37ae
	pheno			PROTEIN		protein family
				L37A gi|421866|pir
433	5668065|	884827	11276646	40S ribosomal protein	Ribosomal_S21e	Ribosomal protein
	pheno			S21 homolog - Arab		S21e
433	5674194|	818470	11276653	ribosomal protein S26,	Ribosomal_S26e	Ribosomal protein
	pheno			cytosolic [simila		S26e
434	4771334|	802750	11762182	(AF325017) T21L8.120	Ribosomal_S10	Ribosomal protein
	pheno			[Arabidopsis thalia		S10p/S20e
434	5674666|	780378	2459420	(AC002332) 60S	Ribosomal_L14	Ribosomol protein
	pheno			ribosomal protein L23 [Ar		L14p/L23e
434	5754419|	47796	11134742	40S RIBOSOMAL	Ribosomal_S24e	Ribosomal protein
	pheno			PROTEIN		S2
				S24 gi|12322851|gb

II.C.2 Using Differential Expression Data to Determine when the Genes and Pathways are Active

The differential expression data can be used to associate the cellular response that results when the clusters of genes are transcribed. For the complete linkage clusters, the genes in the cluster will produce similar transcription profiles. The experiments where the genes in the cluster are differentially expressed as compared to the control define the cellular responses that all the genes of the cluster are capable of modulating.

For example, for the cluster shown above, the mRNA levels for the genes were significantly different in the nitrogen response experiments. Thus, the data shows that this cluster of genes is associated with protein synthesis in response to nutrient uptake.

II.C.3. Using Phenotype Data to Determine when Genes and Pathways are Active

The phenotypic data can be used to demonstrate the physiological consequences of that result when a cluster of genes is active. Whether the clusters were generated by the complete linkage or the nearest neighbor analyses, if a single gene in the cluster has been implicated in phenotypic changes, then any one or combination of the other genes in the cluster can also modulate the same or similar phenotypic changes.

Utilities of Particular Interest

The following sections describe utilities/functions for the genes, gene components and products of the invention. The sequences of the invention, as discussed above, can be recognized as a particular type of gene (e.g. root gene, leaf gene, etc.) by means of particular terms utilized in the Knock-in and Knock-out Tables and by the results of the differential expression experiments. Combined analysis of those data also identify genes with utilities/functions of particular interest. The Single Gene Functions and Utilities Table correlates that data and specific genes with those utilities/functions of particular interest.

Utilities of Particular Interest for Clustered Sequences

As discussed further herein, the genes, gene components and products of the invention have been clustered together into groups. This enables one to understand the function/utility of one member of the cluster based upon knowledge about one or more other members of the cluster. In addition, this enables an understanding of some utilities/functions of a cluster that would be of particular interest. The Cluster Functions and Utilities Table lists some of the clusters of the invention and notes the functions/utilities that are of particular interest for each of the clusters. Of course, these functions/utilities are of particular interest for each member of each particular cluster.

II.D. Experimental Results Provide an Understanding of Genes, Pathways and Networks in Many Plant Species

By analyzing the constant and variable properties of groups of similar sequences, it is possible to derive a structural and functional signature for a protein family, which distinguishes its members from all other proteins. This approach has allowed the Applicants to assign proteins into functional groups and identify orthologous proteins both within and between species. A pertinent analogy to be considered is the use of fingerprints by the police for identification purposes. A fingerprint is generally sufficient to identify a given individual. Similarly, a protein signature can be used to assign a newly sequenced protein to a specific family of proteins and thus to formulate hypotheses about its function.

Proteins can be grouped together because they share a single motif or many motifs. Typically, proteins that share a series of motifs share greater functional equivalence. Usually, signature sequences comprise more than one motif in a particular order from N-terminus to C-terminus.

A list of these groups can be found in the Protein Group Table. The sequences were grouped together using the iterative protein sequence local alignment software, PSI-BLAST. This software begins by aligning a number sequences where the probability that the alignment occurred by chance is set by a threshold e-value. In the Applicants' case, the threshold e-value was set at 10⁻⁵⁰, 10⁻³⁰, and 10⁻¹⁰. The algorithm generates a consensus sequence from the sequences that were aligned together. The consensus sequence was then used to find sequences that matched to it with a probability that was less than the set threshold. The algorithm performs the iterative tasks of aligning and generating a consensus sequence any number of times. Generally, Applicants performed one iteration for the 10⁻¹⁰ e-value threshold, two iterations for the 10⁻³⁰ threshold, and three iterations for the 10⁻⁵⁰ threshold.

Each group can contain sequences from one of more organisms. The groups included both Ceres polypeptides and public polypeptide sequences. The Ceres polypeptides are identified by their Ceres Sequence ID NO as listed in the Reference Table.

Each group contains sequences that were included at the 10⁻⁵⁰, 10⁻³⁰, and 10⁻¹⁰ e-value cutoffs. For each group, the peptide ID and at which cutoff the peptide was included into the group. The same peptide ID may be included in the group three times as peptide ID 50, peptide ID 30 and peptide ID 10. The data indicates that peptide ID was included in the group when the threshold was either 10⁻⁵⁰, 10⁻³⁰, or 10⁻¹⁰. All the peptide IDs that are followed by “50” were included in the protein group when the e-value cutoff was 10⁻⁵⁰. All the peptide IDs that are followed by either “30” or “50” were included in the protein group when the threshold e-value was 10⁻³⁰. All the peptide IDs that are followed by “10”, “30” or “50” were included in the protein group when 10⁻¹⁰ was used as the e-value cutoff.

II.D.1. Conserved Sequences Between Proteins of Different Species Give Rise to a Signature Sequence

The signature sequence for each group of proteins, also referred to as the consensus sequence. The signature sequence comprises the amino acids that are conserved throughout all the proteins in a particular protein group. The data are shown in the Protein Group table.

Not all the polypeptides in a group are the same length. Thus, some members of the group may not contain the entire signature sequence. However, throughout the length of any member protein, its sequence will match the signature sequence.

The consensus sequence contains both lower-case and upper-case letters. The upper-case letters represent the standard one-letter amino acid abbreviations. The lower case letters represent classes of amino acids:

• • “t” refers to tiny amino acids, which are specifically alanine, glycine, serine and threonine.
  • “p” refers to polar amino acids, which are specifically, asparagine and glutamine
  • “n” refers to negatively charged amino acids, which are specifically, aspartic acid and glutamic acid
  • “+” refers to positively charged residues, which are specifically, lysine, arginine, and histidine
  • “r” refers to aromatic residues, which are specifically, phenylalanine, tyrosine, and tryptophan,
  • “a” refers to aliphatic residues, which are specifically, isoleucine, valine, leucine, and methonine

In addition to each consensus sequence, Applicants have generated a scoring matrix to provide further description of the consensus sequence. The matrix reports the identity and number of occurrences of all the amino acids that were found in the group members for every residue position of the signature sequence. The matrix also indicates for each residue position, how many different organisms were found to have a polypeptide in the group that included a residue at the relevant position. These results are reported in the Protein Group Matrix table.

Functional equivalents share similar (1) structural characteristics; (2) biochemical activities and molecular interactions; (3) cellular responses or activities; or (4) phenotypic effects.

II.D.2. Linking Signature Sequences to Conservation of Structural Characteristics

Proteins with related functions show similar three-dimensional structures but may not show extensive amino acid sequence similarity. Typically, proteins need only share a single motif or low similarity in multiple domains to exhibit similar structural features, such as alpha helix, beta sheet, charge residues, stretches of hydrophobicity, etc. Conserved structural features have been implicated in ligand binding by receptor proteins, binding to a class of substrates, polynucleotide binding, or protein-protein interactions.

Based on the signature sequences and the Matrix Tables described herein, a number of motifs can be discerned. Motifs are identified as regions in the signature sequence which are constant in a majority of the members of the group. Example motifs can be found among Applicant's data which are shared in the range of 75% to 95% of group members

Typically, a region of the consensus sequence is constant if, at each position of the region, the preferred amino acid is chosen from a single class of amino acids; even more typically, the preferred amino acid is a single amino acid. The region can contain a number of positions where an amino acid can be chosen. However, these variable positions are usually less than 15% of the total number of residues in the region; more usually, less than 10%; even more usually, less than 5%.

Generally, a domain is considered to be well defined if the consensus sequence is constructed from sequences from at least 2 organisms; more preferably, at least 3 organisms; even more preferably four organisms or greater.

Primary domains are best identified from the data presented for the 10⁻¹⁰ probability criteria. Using this parameter, the largest number of proteins is associated into a group. Consequently, the signature sequence exhibits the greatest amount of variability. The conserved regions, the domains or motifs of the signature contrast against the variable regions. These variable regions become obvious when sequences from more proteins are compared.

Signature sequences revealed in the 10⁻³⁰ and 10⁻⁵⁰ e-value classes show more conservation in the domains, and can even display a degree of conservation in what is considered the variable regions in the 10⁻¹⁰ analyses. These more extensively-conserved domains can reflect higher similarity in function—completely orthologous functions. Proteins that share a number of conserved domains, in the same relative order from N terminus to C terminus, are even more likely to be completely orthologous. Nevertheless, because of the natural divergence that occurs in non-conserved regions during evolution and species differentiation, orthologs can be proteins with only the domains conserved and therefore be present in the 10⁻³⁰ and 10⁻¹⁰ p value classes of the Ortholog Table.

II.D.3. Linking Signature Sequences to Conservation of Biochemical Activities and Molecular Interactions

Proteins that possess the same defined domains or motifs are likely to carry out the same biochemical activity or interact with a similar class of target molecule, e.g., DNA, RNA, proteins, etc. Thus, the pFAM domains listed in the Reference Tables are routinely used as predictors of these properties. Substrates and products for the specific reactions can vary from protein to protein. Where the substrates, ligands, or other molecules bound are identical the affinities may differ between the proteins. Typically, the affinities exhibited by different functional equivalents varies no more than 50%; more typically, no more than 25%; even more typically, no more than 10%; or even less.

Proteins with very similar biochemical activities or molecular interactions will share similar structural properties, such as substrate grooves, as well as sequence similarity in more than one motif. Usually, the proteins will share at least two motifs of the signature sequence; more usually, three motifs; even more usually four motifs or greater. Typically, the proteins exhibit 70% sequence identity in the shared motifs; more typically, 80% sequence identity; even more typically, 90% sequence identity or greater. These proteins also often share sequence similarity in the variable regions between the constant motif regions. Further, the shared motifs will be in the same order from amino- to carboxyl-termini. The length of the variable regions between the motifs in these proteins, generally, is similar. Specifically, the number of residues between the shared motifs in these proteins varies by less than 25%; more usually, does not vary by less than 20%; even more usually, less than 15%; even more usually less than 10% or even less.

II.D.4. Linking Signature Sequences to Conservation of Cellular Responses or Activities

Proteins that exhibit similar cellular response or activities will possess the structural and conserved domain/motifs as described in the Biochemical Activities and Molecular Interactions above.

Proteins can play a larger role in cellular response than just their biochemical activities or molecular interactions suggest. A protein can initiate gene transcription, which is specific to the drought response of a cell. Other cellular responses and activities include: stress responses, hormonal responses, growth and differential of a cell, cell to cell interactions, etc.

The cellular role or activities of protein can be deduced by transcriptional analyses or phenotypic analyses as well as by determining the biochemical activities and molecular interactions of the protein. For example, transcriptional analyses can indicate that transcription of gene A is greatly increased during flower development. Such data would implicate protein A encoded by gene A, in the process of flower development. Proteins that shared sequence similarity in more than one motif would also act as functional equivalents for protein A during flower development.

II.D.5. Linking Signature Sequences to Conservation of Phenotypic Effects

Typically, proteins that are grouped together under the most stringent parameters, e-value≦10⁻⁵, are likely orthologs and therefore, when present in the same or equivalent cells can cause similar phenotypic consequences. These proteins have very high sequence similarity. Typically, if one of the members of a group is an Arabidopsis protein, then the corn ortholog can rescue an Arabidopsis mutant plant that does not produce the Arabidopsis protein. The mutant plant would be rescued as the parental “wild-type” phenotype by expression of a coding sequence of the corn protein of the same orthologous group when present in the appropriate cell types of the plant.

Preferably, these functional equivalents have sequence motif identity throughout much of the length of the protein. However, proteins that share very high similarity between a number, usually more than two; even more usually, more than three motifs can act as functional equivalents to produce similar phenotypic effects.

A gene can have coding sequence similarity, i.e., is a homologous. The coding sequence can be sufficient to act as a functional equivalent, although the gene as a whole is not an ortholog. For example, two similar dwf4 coding sequences were found in the Arabidopsis genome. However, this pair of coding sequences had different promoters and hence different roles in Plantae. But when one of the pair was placed under the control of its mates' promoter, the phenotypic effects were similar to the effects produced by its mate coding sequence. Therefore, the coding sequence, but not the genes are orthologous.

III. Description of the Genes, Gene Components and Products, Together with their Use and Application

As described herein, the results of Applicant's experiments provide an understanding of the function and phenotypic implications of the genes, gene components and products of the present invention. Bioinformatic analysis provides such information. The sections of the present application containing the bioinformatic analysis, together with the Sequence and Reference Tables, teach those skilled in the art how to use the genes, gene components and products of the present invention to provide plants with novel characteristics. Similarly, differential expression analysis provides additional such information and the sections of the present application on that analysis; together with the MA_Diff Tables and MA_Cluster Tables, describe the functions of the genes, gene components and products of the present invention which are understood from the results of the differential expression experiments. The same is true with respect to the phenotype data, wherein the results of the Knock-in and Knock-out experiments and the sections of the present application on those experiments provide the skilled artisan with further description of the functions of the genes, gene components and products of the present invention.

As a result, one reading each of these sections of the present application as an independent report will understand the function of the genes, gene components and products of the present invention. But those sections and descriptions can also be read in combination, in an integrated manner, to gain further insight into the functions and uses for the genes, gene components and products of the present invention. Such an integrated analysis does not require extending beyond the teachings of the present application, but rather combining and integrating the teachings depending upon the particular purpose of the reader.

Some sections of the present application describe the function of genes, gene components and products of the present invention with reference to the type of plant tissue (e.g. root genes, leaf genes, etc.), while other sections describe the function of the genes, gene components and products with respect to responses under certain conditions (e.g. Auxin-responsive genes, heat-responsive genes, etc.). Thus, if one desires to utilize a gene understood from the application to be a particular tissue-type of gene, then the condition-specific responsiveness of that gene can be understood from the differential expression tables, and very specific characteristics of actions of that gene in a transformed plant will be understood by recognizing the overlap or intersection of the gene functions as understood from the two different types of information. Thus, for example, if one desires to transform a plant with a root gene for enhancing root growth and performance, one can know the useful root genes from the results reported in the knock-in and knock-out tables. A review of the differential expression data may then show that a specific root gene is also over-expressed in response to heat and osmotic stress. The function of that gene is then described in (1) the section of the present application that discusses root genes, (2) the section of the present application that discusses heat-responsive genes, and (3) the section of the application that discusses osmotic stress-responsive genes. The function(s) which are commonly described in those three sections will then be particularly characteristic of a plant transformed with that gene. This type of integrated analysis of data can be viewed from the following schematic that summarizes, for one particular gene, the function of that gene as understood from the phenotype and differential expression experiments.

Gene function known	Gene function known	Gene function known
from phenotype	from first differential	from second differential
experiments	expression experiment	expression experiment
Function A	Function A	Function A
Function B
	Function C	Function C
	Function D
		Function E
Function F	Function F	Function F
Function G	Function G
		Function H
Function I		Function I
	Function J

In the above example, one skilled in the art will understand that a plant transformed with this particular gene will particularly exhibit functions A and F because those are the functions which are understood in common from the three different experiments.

Similar analyses can be conducted on various genes of the present invention, by which one skilled in the art can effectively modulate plant functions depending upon the particular use or conditions envisioned for the plant.

III.A. Organ-Affecting Genes, Gene Components, Products (Including Differentiation and Function)

III.A.1. Root Genes, Gene Components and Products

The economic values of roots arise not only from harvested adventitious roots or tubers, but also from the ability of roots to funnel nutrients to support growth of all plants and increase their vegetative material, seeds, fruits, etc. Roots have four main functions. First, they anchor the plant in the soil. Second, they facilitate and regulate the molecular signals and molecular traffic between the plant, soil, and soil fauna. Third, the root provides a plant with nutrients gained from the soil or growth medium. Fourth, they condition local soil chemical and physical properties.

III.A.1.a. Identification of Root Genes

Root genes identified herein are defined as genes, gene components and products capable of modulating one or more processes in or functions of the root as described below. They are active or potentially active to a greater extent in roots than in most other organs of the plant. These genes and gene products can regulate many plant traits from yield to stress tolerance. That single genes usually affect the development and function of roots and whole plants is a consequence of biological cellular complexity and the role roots play in supporting the growth of whole plants. Examples of such root genes and gene products are shown in the Reference and Sequence Reference and Sequence Tables and sequences encoding polypeptides of the Protein Group and Protein Group Matrix tables or fragments thereof, the Knock-In and Knock-Out Tables, and the MA-diff Tables. The function of many of the protein products gained from comparisons with proteins of known functions, are also given in the REF Tables.

Root Genes Identified by Phenotypic Observations

Root genes are active or potentially active to a greater extent in roots than in some other organs/tissue of the plant. Some of the root genes herein were discovered and characterized from a much larger set of genes in experiments designed to find genes that cause phenotypic changes in root morphology. Such morphological changes include primary and lateral root number, size and length, as well as phenotypic changes of other parts of that plant associated with changes in root morphology.

In these experiments, root genes were identified by either (1) ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The plants were then cultivated under standardized conditions and any phenotypic differences recorded between the modified plants as compared with the parent plant. The gene(s) causing the changes were deduced from the cDNA inserted or disrupted gene. Phenotypic differences were observed in:

Primary Roots And Root System

• • Size, Including Length And Girth
  • Number
  • Branching
  • Root Waving/Curling Characteristics
  • Gravitropism Changes
  • Agravitropic

Lateral Roots

• • Size, Including Length And Girth
  • Number
  • Branching

Results from screening for these phenotypic changes are reported in the Knock-in and Knock-out Tables. Therefore, any sequence reported in those Tables with one of the above-noted observations is considered a “root gene”. A “root gene” is also a sequence which, in the Ortholog Tables or in the MA-clust Tables, is grouped/clustered together with at least one sequence that is identified as such by means of the Knock-in and Knock-out Tables.

Root Genes Identified by Differential Expression

Root genes were also identified by measuring the relative levels of mRNA products in the root versus the aerial portion of a plant. Specifically, mRNA was isolated from roots and root tips of Arabidopsis plants and compared to mRNA isolated from the aerial portion of the plants utilizing microarray procedures. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108594, 108433, 108599, 108434, 108439). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Roots genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Roots Genes Identified by Cluster Analyses of Differential Expression

Roots Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Roots genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108594, 108433, 108599, 108434, 108439 of the MA_diff table(s).

Roots Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Roots genes. A group in the MA_clust is considered a Roots pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Roots Genes Identified by Amino Acid Sequence Similarity

Roots genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Roots genes. Groups of Roots genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Roots pathway or network is a group of proteins that also exhibits Roots functions/utilities.

Examples of phenotypes, biochemical activities, and transcription profiles that can be modulated by these genes and gene products are described above and below.

III.A.1.b. Use of Root Genes to Modulate Phenotypes

The root genes of the instant invention are capable of modulating one or more processes of root structure and/or function including (1) development; (2) interaction with the soil and soil contents; and (3) transport in the plant.

Root genes and gene products can be used to alter or modulate one or more of the following phenotypes.

1.) Development

Roots arise from meristem cells that are protected by a root cap during root elongation, but as the root grows out, the cap cells abscise and the remaining cells differentiate to the tip. Depending on the plant species, some surface cells of roots can develop into root hairs. Some roots persist for the life of the plant; others gradually shorten as the ends slowly die back; some may cease to function due to external influences. The root genes and gene products of this invention are useful to modulate any one or all of these growth and development processes generally, as in root density and root growth; including rate, timing, direction and size.

Root genes and gene products are useful to modulate either the growth and development or other processes in one or more of the following types of roots, including primary, lateral, and adventitious.

Root genes and gene products are useful to modulate cellular changes in cell size, cell division, rate direction and/or number, cell elongation, cell differentiation, lignified cell walls, epidermal cells, such as trichoblasts, and root apical meristem cells (growth and initiation).

Parts of roots (i.e. root architecture) can be modulated by these genes root and gene products to affect root architecture in, for example, the epidermis cortex (including the epidermis, hypodermis, endodermis, casparian strips, suberized secondary walls, parenchyma, and aerenchyma), stele (including vaculature, xylem, phloem, and pericycle), vasculature, xylem, phloem, root cap, root apical meristem, elongating region, and symmetry.

The polynucleotides and polypeptides of this invention can be used to control the responses to internal plant and root programs as well as to environmental stimuli in the seminal system, nodal system, hormone systems (including Auxin and cytokinin), root cap abscission, root senescence, gravitropism, coordination of root growth and development with that of other organs (including leaves, flowers, seeds, fruits, stems, and changes in soil environment (including water, minerals, ph, and microfauna and flora).

2.) Interaction with Soil and Soil Contents

Roots are sites of intense chemical and biological activities and as a result can strongly modify the soil they contact. Roots coat themselves with surfactants and mucilage to facilitate these activities. Specifically, roots are responsible for nutrient uptake by mobilizing and assimilating water, organic and inorganic compounds, ions and attracting and interacting with beneficial microfauna and flora. Roots also help to mitigate the effects of toxic chemicals, pathogens and stress. Examples of root properties and activities that the genes and gene products of this invention are useful to modulate are root surfactants and mucilage (including mucilage composition, secretion rate and time, surfactant); nutrient uptake of water, nitrate and other sources of nitrogen, phosphate, potassium, and micronutrients (e.g. iron, copper, etc.); microbes and nematodes associations (such as bacteria including nitrogen-fixing bacteria, mycorrhizae, and nodule-forming and other nematodes); oxygen (including transpiration); detoxification of iron, aluminum, cadium, mercury, salt, and other heavy metals and toxins); pathogen interactions/control (including chemical repellents (includes glucosinolates (GSL), which release pathogen-controlling isothiocyanates); and changes in soil properties, (such as Ph, mineral depletion, and rhizosheath).

3) Transport of Materials in Plants

Uptake of nutrients by roots produces a “source-sink” effect in a plant. The greater the source of nutrients, the larger “sinks,” such as stems, leaves, flowers, seeds, fruits, etc. can grow. Thus, root genes and gene products are useful to modulate the vigor and yield of the plant overall as well as distinct cells, organs, or tissues. The root genes and gene products are, therefore, useful to modulate vigor (including plant nutrition, growth rate (such as whole plant, including height, flowering time, etc.), seedling, coleoptile elongation, young leaves, stems, flowers, seeds, fruit, and yield (including biomass (such as fresh and dry weight during any time in plant life, including maturation and senescence), root/tuber yield (such as number, size, weight, harvest index, content and composition, (i.e. amino acid, jasmonate, oil, protein and starch), number of flowers, seed yield, number, size, weight, harvest index, content and composition (e.g. amino acid, jasmonate, oil, protein and starch), and fruit yield (such as number, size, weight, harvest index, post harvest quality, content and composition, (e.g. amino acid, jasmonate, oil, protein and starch).

Additional Uses of Plants with Modified Roots

Plants with roots modified in one or more of the properties described above are used to provide:

• • A. Higher vigor and yield of plants and harvested products due to pathogen resistance from conditioning the soil with plant-derived chemicals and/or more tolerance to stresses such as drought, flooding and anoxia.
  • B. Better Animal (Including Human) Nutrition
  • C. Improved Dietary Mineral Nutrition
  • D. Better Plant Survival
    • (a) Decreased Lodging
    • (b) More Efficient Transport
    • (c) More Efficient Physiology
    • (d) More Efficient Metabolism
  • E. Better Resistance To Plant Density Effects
  • F. Increased Yield Of Valuable Molecules
  • G. More Efficient Root Nodulation
  • H. Better Access To Rhizobia Spray Application, For Anaerobic Soils
  • I. Easier Crop Harvesting And Ground Tillage
  • J. Decreased Soil Erosion

To regulate any of the phenotype(s) above, activities of one or more of the root genes or gene products is modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Dolan et al. (1993, Development 119: 71-84), Dolan et al. (1997, Development 124: 1789-98), Crawford and Glass (1998, Trends Plant Science 3: 389-95), Wang et al. (1998, PNAS USA 95: 15134-39), Gaxiola et al. (1998, PNAS USA 95: 4046-50), Apse et al. (1999, Science 285: 1256-58), Fisher and Long (1992, Nature 357: 655-60), Schneider et al. (1998, Genes Devel 12: 2013-21) and Hirsch (1999, Curr Opin Plant Biol. 2: 320-326).

III.A.1.c. Use of Root Genes to Modulate Biochemical Activities

The activities of one or more of the root genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Association Of Root	Cell-Cell Recognition	Gage et al. (1996) J Bacteriol
Morphology With Nitrogen	Cell Wall Degradation	178: 7159-66
Fixing Bacteria
Primary Root, Lateral	Cell Division/Elongation	Schneider et al. (1998) Genes
Root, And Root Hair	Cell Differentiation	Devel 12: 2013-21
Initiation	Cell Expansion	Casimiro et al. (2001). Plant
Spacing	Auxin Mediated Response	Cell 13: 843-852.
Elongation	Pathways	Rogg et al. (2001). Plant
Branching		Cell 13: 465-480.
		Gaedeke et al. (2001).
		EMBO J. 20: 1875-1887.
		Neuteboom et al. (1999).
		Plant Mol. Biol. 39: 273-287.
		Schindelman et al. (2001).
		Genes and Dev. 15: 1115-1127.
		Rashotte et al. (2001) Plant
		Cell 13: 1683-1697.
		Zhang et al. (2000). J Exp
		Bot 51: 51-59.
		Zhang et al. (1998) Science
		279: 407-409.
Metabolism	Organic Molecule Export	Moody et al. (1988)
		Phytochemistry 27: 2857-61.
	Ion Export	Uozumi et al. (2000) Plant
		Physiol 122: 1249-59
		Frachisse et al. (2000) Plant J
		21: 361-71
	Nutrient Uptake	Frachisse et al. (2000) Plant J
		21: 361-71
		Uozumio et al. (2000) Plant
		Physiol 122: 1249-59
		Williamson et al. (2001).
		Plant Physiol. 126: 875-882.
		Zhang et al. (2000). J Exp
		Bot 51: 51-59.
		Zhang et al. (1998). Science
		279: 407-409.
		Coruzzi et al. (2001). Plant
		Physiol. 125: 61-64.
Root Gravitropism And	Reactive Oxygen Species	Joo et al. (2001) Plant
Waving	(ROS) Such As Superoxide	Physiol. 126: 1055-60.
	Anions And H2O2	Vitha et al. (2000). Plant
	Production	Physiol. 122: 453-461.
	Auxin Transport Pathways	Tasaka et al. (2001) Int Rev
	Flavonoid Inhibition Of	Cytol 206: 135-54.
	Auxin Transport Function	Brown et al. (2001) Plant
	Changes In Root Cap Ph	Physiol 126: 524-35.
	Starch Synthesis And	Fasano et al. (2001) Plant
	Storage	Cell 13: 907-22.
	Cell Differentiation	MacCleery et al. (1999).
	Cell Elongation	Plant Physiol 120: 183-92
		Blancaflor et al. (1998).
		Plant Physiol 116: 213-22
		Schneider et al. (1998) Genes
		Devel 12: 2013-21

Other biological activities that can be modulated by the root genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

III.A.1.d. Use of Root Genes to Modulate Transcription Levels of Plant Genes

Many genes are “up regulated” or “down regulated” because they belong to networks or cascades of genes. Thus some root genes are capable of regulating many other gene activities via these networks and hence complex phenotypes. Examples of transcription profiles of root genes are described in the Table below with associated biological activities. “Up-regulated” profiles are those where the concentrations of the mRNA in total mRNA are higher in roots as compared to aerial parts of a plant; and vice-versa for “down-regulated” profiles.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up Regulated	Genes Expressed In	Primary Root,	Transporters
Transcripts	Root Development	Lateral Root, and/or	Metabolic Enzymes
	Responders To	Root Hair Growth	Change In Cell
	Micro-Organismal	and Differentiation	Membrane Structure
	Symbionts And	Microorganism	And Potential
	Parasites	Perception	Kinases,
	Genes involved in	Entrapment Of	Phosphatases, G-
	polar Auxin transport	Microorganismal	Proteins
	Genes involved in	Symbionts	Transcription
	starch deposition in	Nutrient Uptake	Activators
	the roots	Synthesis Of	Change In
	Genes involved in	Metabolites And/Or	Chromatin Structure
	production of reactive	Proteins	And/Or Localized
	oxygen species	Modulation Of	DNA Topology
	Gene involved in	Transduction	Cell Wall Proteins
	flavonoid synthesis	Pathways	Ca++ Fluctuation
		Specific Gene	Reactive Oxygen
		Transcription	Species (ROS) production
		Initiation
		Nutrient Uptake
		Enhancement
		Gravitropic growth
		of roots
		Associations with
		rhizobia are
		stimulated
Down-Regulated	Genes Repressed In	Negative	Transcription
Transcripts	Root Development	Regulation Of	Factors
	Responders To	Primary Root,	Kinases,
	Micro-Organismal	Lateral Root, and/or	Phosphatases, G-
	Symbionts And	Root Hair	Proteins
	Parasites	Production	Change In
	Genes With	Released	Chromatin Structure
	Discontinued	Changes In	And/Or DNA
	Expression Or	Pathways And	Topology
	UnsTable mRNA In	Processes	Stability Of Factors
	Presence Of Root	Operating In Cells	For Protein
	And/Or Micro-	Changes In	Synthesis And
	Organismal	Metabolism	Degradation
	Symbionts	Inhibition of root	Metabolic Enzymes
		gravitropism

Changes in the function or development of roots are the result of modulation of the activities of one or more of these many root genes and gene products. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield, especially when plants are growing in the presence of soil borne biotic or abiotic stresses or when they are growing in barren conditions or in soils depleted of certain minerals.

Root genes, gene components and gene products can act alone or in combination as described in the introduction. Of particular interest are combinations of these genes and gene products with those that modulate stress tolerance and/or metabolism. Stress tolerance and metabolism genes and gene products are described in more detail in the sections below.

Use of Promoters of Root Genes

Promoters of root genes, as described in the Reference tables, for example, can be used to modulate transcription that is induced by root development or any of the root biological processes or activities above. For example, when a selected polynucleotide sequence is operably linked to a promoter of a root gene, then the selected sequence is transcribed in the same or similar temporal, development or environmentally-specific patterns as the root gene from which the promoter was taken. The root promoters can also be used to activate antisense copies of any coding sequence to achieve down regulation of its protein product in roots. They can also be used to activate sense copies of mRNAs by RNA interference or sense suppression in roots.

III.A.2. Root Hair Genes, Gene Components and Products

Root hairs are specialized outgrowths of single epidermal cells termed trichoblasts. In many and perhaps all species of plants, the trichoblasts are regularly arranged around the perimeter of the root. In Arabidopsis, for example, trichoblasts tend to alternate with non-hair cells or atrichoblasts. This spatial patterning of the root epidermis is under genetic control, and a variety of mutants have been isolated in which this spacing is altered or in which root hairs are completely absent.

III.A.2.a. Identification of Root Hair Genes

Root hair genes identified herein are defined as genes, gene components and products capable of modulating one or more processes in or the function of root hairs as described below. Root hairs are capable of controlling or influencing many plant traits, also as shown below. Examples of such root hair development genes and gene products are shown in the Reference and Sequence Tables. The protein products of many of these genes are also identified in these Tables.

Root Hair Genes Identified by Differential Expression

These genes were discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA products are associated specifically with root hairs. These experiments made use of the arabidopsis mutant “root hairless” (rhl), which does not develop root hairs. By comparing gene expression profiles of rhl roots with those of wild type roots grown in identical conditions, genes specifically expressed in root hairs were revealed. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108594, 108433). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Root Hairs genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Root Hairs Genes Identified by Cluster Analyses of Differential Expression

Root Hairs Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Root Hairs genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108594, 108433 the MA_diff table(s).

Root Hairs Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Root Hairs genes. A group in the MA_clust is considered a Root Hairs pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Root Hairs Genes Identified by Amino Acid Sequence Similarity

Root Hairs genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Root Hairs genes. Groups of Root Hairs genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Root Hairs pathway or network is a group of proteins that also exhibits Root Hairs functions/utilities.

Examples of phenotypes, biochemical activities, and transcript profiles that can be modulated by these genes and gene products are described above and below.

III.A.2.b. Use of Root Hair Development Genes to Modulate Phenotypes

The root hair development genes of the instant invention are useful to modulate one or more processes of root hair structure and/or function including (1) development; (2) interaction with the soil and soil contents; (3) uptake and transport in the plant; and (4) interaction with microorganisms.

1.) Development

The surface cells of roots can develop into single epidermal cells termed trichoblasts or root hairs. Some of the root hairs will persist for the life of the plant; others will gradually die back; some may cease to function due to external influences. The genes and gene products of this invention are useful to modulate any one or all of these growth and development process generally, as in root hair density or root hair growth; including rate, timing, direction, and size, for example. Processes that are regulated by these genes and gene products include cell properties such as cell size, cell division, rate and direction and number, cell elongation, cell differentiation, lignified cell walls, epidermal cells (including trichoblasts) and root apical meristem cells (growth and initiation); and root hair architecture such as leaf cells under the trichome, cells forming the base of the trichome, trichome cells, and root hair responses.

The genes and gene products of this invention are useful to modulate one or more of the growth and development processes in response to internal plant programs or environmental stimuli in, for example, the seminal system, nodal system, hormone responses, Auxin, root cap abscission, root senescence, gravitropism, coordination of root growth and development with that of other organs (including leaves, flowers, seeds, fruits, and stems), and changes in soil environment (including water, minerals, Ph, and microfauna and flora).

2.) Interaction with Soil and Soil Contents

Root hairs are sites of intense chemical and biological activity and as a result can strongly modify the soil they contact. Roots hairs can be coated with surfactants and mucilage to facilitate these activities. Specifically, roots hairs are responsible for nutrient uptake by mobilizing and assimilating water, reluctant ions, organic and inorganic compounds and chemicals. In addition, they attract and interact with beneficial microfauna and flora. Root hairs also help to mitigate the effects of toxic ions, pathogens and stress. Examples of root hair properties and activities that the genes and gene products of the invention are useful to modulate include root hair surfactant and mucilage (including composition and secretion rate and time); nutrient uptake (including water, nitrate and other sources of nitrogen, phosphate, potassium, and micronutrients (e.g. iron, copper, etc.); microbe and nematode associations (such as bacteria including nitrogen-fixing bacteria, mycorrhizae, nodule-forming and other nematodes, and nitrogen fixation); oxygen transpiration; detoxification effects of iron, aluminum, cadium, mercury, salt, and other soil constituents; pathogens (including chemical repellents) glucosinolates (GSL1), which release pathogen-controlling isothiocyanates; and changes in soil (such as Ph, mineral excess and depletion), and rhizosheath.

3.) Transport of Materials in Plants

Uptake of the nutrients by the root and root hairs contributes a source-sink effect in a plant. The greater source of nutrients, the more sinks, such as stems, leaves, flowers, seeds, fruits, etc. can draw sustenance to grow. Thus, root hair development genes and gene products are useful to modulate the vigor and yield of the plant overall as well as of distinct cells, organs, or tissues of a plant. The genes and gene products, therefore, can modulate Vigor, including plant nutrition, growth rate (such as whole plant, including height, flowering time, etc., seedling, coleoptile elongation, young leaves, stems, flowers, seeds and fruit) and yield, including biomass (fresh and dry weight during any time in plant life, including maturation and senescence), number of flowers, number of seeds, seed yield, number, size, weight and harvest index (content and composition, e.g. amino acid, jasmonate, oil, protein and starch) and fruit yield (number, size, weight, harvest index, and post harvest quality).

Additional Uses of Plants with Modified Root Hairs

Plants with root hairs modified in one or more of the properties described above are used to provide:

• • A. Higher vigor and yield of plant and harvested products due to pathogen resistance from conditioning the soil with plant-derived chemicals and/or more tolerance to stresses such as drought, flooding and anoxia
  • B. Better Animal (Including Human) Nutrition
  • C. Improved Dietary Mineral Nutrition
  • D. Increased Plant Survival By Decreasing Lodging
  • E. Better Plant Survival By:
    • (a) Decreased Lodging
    • (b) More Efficient Transport
    • (c) More Efficient Physiology
    • (d) More Efficient Metabolism
  • F. Increased Yield Of Valuable Molecules

Root Hair Modulation

To regulate any of the phenotype(s) above, activities of one or more of the root hair genes or gene products is modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels are altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Dolan et al. (1993, Development 119: 71-84), Dolan et al. (1997, Development 124: 1789-98), Crawford and Glass (1998, Trends Plant Science 3: 389-95), Wang et al. (1998, PNAS USA 95: 15134-39), Gaxiola et al. (1998, PNAS USA 95: 4046-50), Apse et al. (1999, Science 285: 1256-58), Fisher and Long (1992, Nature 357: 655-60), Schneider et al. (1998, Genes Devel 12: 2013-21) and Hirsch (1999, Curr Opin Plant Biol. 2: 320-326).

III.A.2.c. Use of Root Hair Development Genes to Modulate Biochemical Activities

The activities of one or more of the root hair development genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the table below:

	Biochemical Or Metabolic
Process	Activities And/Or Pathways	Citations Including Assays
Association	Functions Associated	Gage et al. (1996) J
Of Root Hair	With Root Hair Curling	Bacteriol 178: 7159-66
With Nitrogen	And Signal Transduction
Fixing Bacteria
Root Hair		Schneider et al. (1998)
Spacing		Genes Devel 12: 2013-21
Initiation
Elongation
Metabolism	Organic Molecule Export	Moody et al. (1988)
		Phytochemistry 27:
		2857-61
	Ion Export	Uozumi et al. (2000) Plant
		Physiol 122: 1249-59
		Frachisse et al. (2000) Plant
		J 21: 361-71
Nutrient	Nutrient Uptake	Frachisse et al. (2000) Plant
Uptake		J 21: 361-71
		Uozumio et al. (2000) Plant
		Physiol 122: 1249-59

Other biological activities that can be modulated by the root hair genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

III.A.2.d. Use of Root Hair Genes, Gene Components and Product to Modulate Transcription Levels

Many genes are “up regulated” or “down regulated” in root hairs or associated with root hair formation because genes are regulated in networks. Thus some root hairs genes are useful to regulate the activities of many other genes, directly or indirectly to influence complex phenotypes. Examples of transcription profiles of root genes are described in the Table below with associated biological activities. “Up regulated” profiles are those where the mRNA levels are higher when the rhl gene is inhibited as compared to when rhl gene is not inhibited; and vice-versa for “down-regulated” profiles.

Transcript		Physiological	Examples Of
Levels	Type of Genes	Consequences	Biochemical Activity
Down Regulated	Genes Expressed In	Root Hair Formation	Transporters
Transcripts	Root Hair	Microorganism	Metabolic Enzymes
	Development	Perception	Change In Cell
	Responders To	Entrapment Of	Membrane Structure
	Micro-Organismal	Microorganismal	And Potential
	Symbionts And	Symbionts	Kinases,
	Parasites	Nutrient Uptake	Phosphatases, G-
		Synthesis Of	Proteins
		Metabolites And/Or	Transcription
		Proteins	Activators
		Modulation Of	Change In Chromatin
		Transduction	Structure And/Or
		Pathways	Localized DNA
		Specific Gene	Topology
		Transcription	Cell Wall Proteins
		Initiation
		Nutrient Uptake
		Enhancement
Up-Regulated	Genes Repressed In	Negative Regulation	Transcription Factors
Transcripts	Roots Making	Of Hair Production	Kinases,
	Hairs	Released	Phosphatases, G-
	Responders To	Changes In	Proteins
	Micro-Organismal	Pathways And	Change In Chromatin
	Symbionts And	Processes Operating	Structure And/Or
	Parasites	In Cells	DNA Topology
	Genes With	Changes In	Stability Of Factors
	Discontinued	Metabolism	For Protein Synthesis
	Expression Or		And Degradation
	UnsTable mRNAIn		Metabolic Enzymes
	Presence Of Root		Cell Wall Proteins
	Hairs And/Or
	Micro-Organismal
	Symbionts

Changes in the patterning or development of root hairs are the result of modulation of the activities of one or more of these many root hair genes and gene products. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield, especially when plants are growing in the presence of biotic or abiotic stresses or when they are growing in barren conditions or in soils depleted of certain minerals.

Root hair genes and gene products can act alone or in combination as described in the introduction. Of particular interest are combination of these genes and gene products with those that modulate stress tolerance and/or metabolism. Stress tolerance and metabolism genes and gene products are described in more detail in the sections below.

Use of Promoters of Root Hair Genes

Promoters of root hair development genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by root hair development or any of the following phenotypes or biological activities above. For example, any desired sequence can be transcribed in similar temporal, tissue, or environmentally-specific patterns as the root hair genes when the desired sequence is operably linked to a promoter of a root hair responsive gene.

III.A.3. Leaf Genes, Gene Components and Products

Leaves are responsible for producing most of the fixed carbon in a plant and are critical to plant productivity and survival. Great variability in leaf shapes and sizes is observed in nature. Leaves also exhibit varying degrees of complexity, ranging from simple to multi-compound. Leaf genes as defined here, not only modulate morphology, but also influence the shoot apical meristem, thereby affecting leaf arrangement on the shoot, internodes, nodes, axillary buds, photosynthetic capacity, carbon fixation, photorespiration and starch synthesis. Leaf genes elucidated here can be used to modify a number of traits of economic interest from leaf shape to plant yield, including stress tolerance, and to modify the efficiency of synthesis and accumulation of specific metabolites and macromolecules.

III.A.3.a. Identification of Leaf Gene, Gene Components and Products

Leaf genes identified herein are defined as genes, active or potentially active to greater extent in leaves than in some other organs of the plant or as genes that affect leaf properties. These genes and gene components are useful for modulating one or more processes in or functions of leaves, as described below, to improve plant traits ranging from yield to stress tolerance. Examples of such leaf genes and gene products are shown in the Reference and Sequence Tables and sequences encoding polypeptides of the Protein Group and Protein Group Matrix tables or fragments thereof, Knock-In, Knock-Out and MA_diff Tables. The biochemical functions of the protein products of many of these genes determined from comparisons with known proteins are also given in the Reference tables.

Leaf Genes Identified by Phenotypic Observations

Some leaf genes were discovered and characterized from a much larger set of genes by experiments designed to find genes that cause phenotypic changes in leaf, petiole, internode, and cotyledon morphology.

In these experiments, leaf genes were identified by either (1) ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The plants were then cultivated and one or more of the following leaf phenotypes, which varied from the parental “wild-type”, were observed:

A. Changes In Seedling Stage Cotyledons

• • Cup Shaped
  • Curled
  • Horizontally Oblong
  • Long Petioles
  • Short Petioles
  • Silver
  • Tricot
  • Wilted

B. Changes In Rosette And Flowering Stage Leaf Shapes

• • Cordate
  • Cup-Shaped
  • Curled
  • Fused
  • Lanceolate
  • Lobed
  • Long Petioles
  • Short Petioles
  • Oval
  • Ovate
  • Serrate
  • Trident
  • Undulate
  • Vertically Oblong

C. Changes In Cauline, Flowering Leaf Shape

• • Misshapen
  • Other

D. Changes In Leaf Pigment

• • Albino
  • Dark Green Pigment
  • High Anthocyanin
  • Interveinal Chlorosis
  • Yellow Pigment

E. Changes In Leaf Size

F. Changes In Seedling Stage Hypocotyl

• • Long
  • Short

G. Changes In Leaf Number

H. Changes In Wax Deposition

• • Glossy Rosette And Flowering Stage Leaves
  • Altered Wax Deposition On The Bolt

Leaf Genes Identified by Differential Expression

Also, leaf genes were identified in experiments in which the concentration of mRNA products in the leaf, or stem, or Knock-out mutant 3642-1 were compared with to a control. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108477, 108512, 108497, 108498, 108598). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Leaf genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Leaf Genes Identified by Cluster Analyses of Differential Expression

Leaf Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Leaf genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108477, 108512, 108497, 108498, 108598 of the MA_diff table(s).

Leaf Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Leaf genes. A group in the MA_clust is considered a Leaf pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Leaf Genes Identified by Amino Acid Sequence Similarity

Leaf genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Leaf genes. Groups of Leaf genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Leaf pathway or network is a group of proteins that also exhibits Leaf functions/utilities.

It is assumed that (i) the genes preferentially expressed in leaves are concerned with specifying leaf structures and the synthesis of all the constituent molecules and (ii) that the genes repressed in leaves specify products that are not required in leaves or that could inhibit normal leaf development and function.

Examples of phenotypes, biochemical activities, and transcription profiles that are modulated by using selected members of these genes and gene products, singly or in combination, are described below.

III.A.3.b. Use of Leaf Genes, Genes Components and Products to Modulate Phenotypes

Leaves are critical for the performance and industrial utility of plants. There is extensive evidence that the number, size, shape, position, timing of synthesis, timing of senescence and chemical constitution are very important for agriculture, horticulture and uses of plants as chemical factories for making valuable molecules. Many improvements already demonstrated over past decades have involved genetic modifications to leaves. Therefore, the leaf genes and gene components of this invention offer considerable opportunities for further improving plants for industrial purposes. When the leaf genes and/or gene components are mutated or regulated differently, they are capable of modulating one or more of the processes determining leaf structure and/or function including (1) development; (2) interaction with the environment and (3) photosynthesis and metabolism.

1.) Development

The leaf genes, gene components and products of the instant invention are useful to modulate one or more processes of the stages of leaf morphogenesis including: stage 1—organogenesis that gives rise to the leaf primordium; stage 2—delimiting basic morphological domains; and stage 3—a coordinated processes of cell division, expansion, and differentiation. Leaf genes include those genes that terminate as well as initiate leaf development. Modulating any or all of the processes leads to beneficial effects either at specific locations or throughout the plant, such as in the cotyledons, major leaves, cauline leaves, or petioles.

Leaf genes, gene components and gene products are useful to modulate changes in leaf cell size, cell division (rate and direction), cell elongation, cell differentiation, stomata size, number, spacing and activity, trichome size and number, xylem and phloem cell numbers, cell wall composition, and all cell types. The leaf genese are also useful to modulate to change overall leaf architecture, including veination (such as improvements in photosynthetic efficiency, stress tolerance efficiency of solute and nutrient movement to and from the leaf are accomplished by increases or decreases in vein placement and number of cells in the vein); shape, either elongated versus rounded or symmetry, around either (e.g. abaxial-adaxial (dorsiventral) axis, apical-basal (proximodistal) axis, and margin-blade-midrib (lateral) axis; and branching (improved plant performance to biotic and abiotic stress in heavy density planting is achieved by increases or decreases in leaf branch position or leaf branch length).

Shoot apical meristem cells differentiate to become leaf primordia that eventually develop into leaves. The genes, gene components and gene products of this invention are useful to modulate any one or all of these growth and development processes, by affecting timing and rate or planes of cell divisions for example, in response to the internal plant stimuli and/or programs such as embryogenesis; germination; hormones like Auxin leaf senescence; phototropism; coordination of leaf growth and development with that of other organs (such as roots, flowers, seeds, fruits, and stems; and stress-related programs.

2.) Interaction with the Environment

Leaves are the main sites of photosynthesis and have various adaptations for that purpose. Flat laminae provide a large surface for absorbing sunlight; leaves are rich in chloroplasts and mitochondria; stomata in the lower surface of the laminae allow gases to pass into and out of the leaves including water; and an extensive network of veins brings water and minerals into the leaves and transports the sugar products produced by photosynthesis to the rest of the plant. examples of leaf properties or activities that are modulated by leaf genes, gene components and their products to facilitate interactions between a plant and the environment including pigment accumulation; wax accumulation on the surface of leaves (e.g. improved protection of young leaves from water borne pathogen attack such as downey mildew with increased wax production); oxygen gain/loss control; carbon dioxide gain/loss control; water gain/loss control; nutrient transport; light harvesting; chloroplast biogenesis; circadian rhythm control; light/dark adaptation; defense systems against biotic and abiotic stresses; metabolite accumulation; and secondary metabolite production in leaf mesophyl, epidermis and trichomes (such as increases in antifeeding secondary metabolites such as strictosiden reduce herbivory and decreases in secondary metabolites improve plants as forage by reducing allergens or undigestible compounds).

3.) Photosynthesis and Metabolism

Many of the uses for plants depend on the success of leaves as the powerhouses for plant growth, their ability to withstand stresses and their chemical composition. Leaves are organs with many different cell types and structures. Most genes of a plant are active in leaves and therefore leaves have very diverse of pathways and physiological processes. Pathways and processes that are modulated by leaf genes, gene components and products include photosynthesis, sugar metabolism, starch synthesis, starch degradation, nitrate and ammonia metabolism, amino acid biosynthesis, transport, protein biosynthesis, dna replication, repair, lipid biosynthesis and breakdown, protein biosynthesis, storage and breakdown, nucleotide transport and metabolism, cell envelope biogenesis, membrane formation, mitochondrial and chloroplast biogenesis, transcription and RNA metabolism, vitamin biosynthesis, steroid and terpenoid biosynthesis, devise secondary metabolite synthesis, co-enzyme metabolism, flavonoid biosynthesis and degradation, synthesis of waxes, glyoxylate metabolism, and hormone perception and response pathways.

Uses of Plants that are Modified as Described Above

Altering leaf genes or gene products in a plant modifies one or more plant traits, to make the plants more useful for specific purposes in agriculture, horticulture and for the production of valuable molecules. The modified plant traits include A higher yield of leaves and their molecular constituents (due to different number, size, weight, harvest index, composition including and amounts and types of carbohydrates, proteins, oils, waxes, etc.; photosynthetic efficiency (e.g. reduced photorespiration), absorption of water and nutrients to enhance yields, including under stresses such as high light, herbicides, and heat, pathways to accumulate new valuable molecules); more optimal leaf shape and architecture—enhancing photosynthesis and enhancing appeal in ornamental species (including size, number, pigment, and aroma; a better overall plant architecture—enhancing photosynthesis and enhancing appeal in ornamental species petals, sepals, stamens, and carpels; better shade avoidance for maximizing photosynthesis by, for example, altering leaf placement, to improve light capture and photosynthetic efficiency, thereby increasing yields; Reduced negative effects of high planting density, by altering leaf placement to be more vertical instead of parallel to the ground, for instance; More resistance to the deleterious effects of wind and mechanical damage; Better stress tolerance (including without limitation drought resistance, by decreasing water loss, and pathogen resistance, including, for instance, insect resistance through internal insecticide levels and optimizing the leaf shape to prevent runoff of insecticides); and better overall yield and vigor.

Plant yield of biomass and of constituent molecules and plant vigor are modulated to create benefits by genetically changing the growth rate of the whole plant, (including height, flowering time, etc.), seedling, coleoptile elongation, young leaves flowers, seeds, and/or fruit, or by changing the biomass, including fresh and dry weight during any time in plant life, (including maturation and senescence), number of flowers, seed yield including for example, number, size, weight, harvest index, content and composition (e.g. amino acid, jasmonate, oil, protein and starch), and fruit yield (such as number, size, weight, harvest index, content and composition, e.g. amino acid, jasmonate, oil, protein and starch).

To change any of the phenotype(s) in I, II, or III above, activities of one or more of the leaf genes or gene products are modulated in an organism and the consequence evaluated by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels are altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (Methods. Mol. Biol. 82:259-266 (1998)) with leaf gene constructs and/or screened for variants as in Winkler et al., Plant Physiol. 118: 743-50 (1998) and visually inspected for the desired phenotype and metabolically and/or functionally assayed for altered levels of relevant molecules.

III.A.3.c. Use of Leaf Genes Gene Components and Products to Modulate Biochemical Activities

Leaves are complex organs and their structure, function and properties result from the integration of many processes and biochemical activities. Some of these are known from the published literature and some can be deduced from the genes and their products described in this application. Leaf genes, and gene components are used singly or in combination to modify these processes and biochemical activities and hence modify the phenotypic and trait characteristics described above. Examples of the processes and metabolic activities are given in the Table below. The resulting changes are measured according to the citations included in the Table.

	BIOCHEMICAL OR	CITATIONS
	METABOLIC ACTIVITIES	INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Metabolism - anabolic	Farnesylation	Pei et al., Science 282: 287-290
and catabolic	Cell Wall Biosynthesis	(1998); Cutler et al.,
	Nitrogen Metabolism	Science 273: 1239 (1996)
	Secondary Metabolite	Goupil et al., J Exptl. Botany
	Biosynthesis and	49: 1855-62 (1998)
	Degradation	Walch-Liu et al., J Exppt.
		Botany 51, 227-237 (2000)
Water Conservation And	Stomatal Development And	Allen et al., Plant Cell 11:
Resistance To Drought	Physiology	1785-1798 (1999)
And Other Related	Production of polyols	Li et al., Science 287: 300-303
Stresses	Regulation of salt	(2000)
	concentration	Burnett et al., J Exptl. Botany
	ABA response(s)	51: 197-205 (2000)
Transport Anion and	Ca2+ Accumulation	Raschke, In: Stomatal
Cation Fluxes	K+ Fluxes	Function, Zeiger et al. Eds.,
	Na+ Fluxes	253-279 (1987)
	Receptor - ligand binding	Lacombe et al., Plant Cell 12:
	Anion and Cation fluxes	837-51 (2000);
		Wang et al., Plant Physiol.
		118: 1421-1429 (1998);
		Shi et al., Plant Cell 11: 2393-2406
		(1999)
		Gaymard et al., Cell 94: 647-655
		(1998)
		Jonak et al., Proc. Natl. Acad.
		Sci. 93: 11274-79 (1996);
		Sheen, Proc. Natl. Acad. Sci.
		95: 975-80 (1998);
		Allen et al., Plant Cell 11:
		1785-98 (1999)
Carbon Fixation	Calvin Cycle	Wingler et al., Philo Trans R
	Photorespiration	Soe Lond B Biol Sci 355,
	Oxygen evolution	1517-1529 (2000);
	RuBisCO	Palecanda et al., Plant Mol
	Chlorophyll metabolism	Biol 46, 89-97 (2001);
	Chloroplast Biogenesis and	Baker et al., J Exp Bot 52,
	Metabolism	615-621 (2001)
	Fatty Acid and Lipid	Chen et al., Acta Biochim Pol
	Biosynthesis	41, 447-457 (1999)
	Glyoxylate metabolism	Imlau et al., PlantCell II, 309-322
	Sugar Transport	(1999)
	Starch Biosynthesis and
	Degradation
Hormone Perception and	Hormone Receptors and	Tieman et al., Plant J 26, 47-58
Growth	Downstream Pathways for	(2001)
	ethylene	Hilpert et al., Plant J 26, 435-446
	jasmonic acid	(2001)
	brassinosteroid	Wenzel et al., Plant Phys
	gibberellin	124, 813-822 (2000)
	Auxin	Dengler and Kang, Curr Opin
	cytokinin	Plant Biol 4, 50-56 (2001)
	Activation Of Specific	Tantikanjana et al., Genes
	Kinases And Phosphatases	Dev 15, 1577-1580 (2001)

Other biological activities that are modulated by the leaf genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table, for example.

III.A.3.d. Use of Leaf Genes, Gene Components and Products to Modulate Transcription Levels

The expression of many genes is “upregulated” or downregulated” in leaves because some leaf genes and their products are integrated into complex networks that regulate transcription of many other genes. Some leaf genes, gene components and products are therefore useful for modifying the transcription of other genes and hence complex phenotypes, as described above. Profiles of leaf gene activities are described in the Table below with associated biological activities. “Up-regulated” profiles are those where the mRNA transcript levels are higher in leaves as compared to the plant as a whole. “Down-regulated” profiles represent higher transcript levels in the whole plant as compared to leaf tissue only.

			EXAMPLES OF
	TYPE OF GENES	PHYSIOLOGICAL	BIOCHEMICAL
	WHOSE	CONSEQUENCES OF	ACTIVITIES OF GENE
TRANSCRIPT	TRANSCRIPTS	MODIFYING GENE	PRODUCTS WITH
LEVELS	ARE CHANGED	PRODUCT LEVELS	MODIFIED LEVELS
Up Regulated	Genes Involved In	Leaf Cells	Transcription
Transcripts	Leaf Cell	Proliferate And	Factors, Signal
	Differentiation, Cell	Differentiate;	Transduction
	Division, Cell		Proteins, Kinase
	Expansion		And Phosphatases
	Genes Involved In	Leaf Structures	Chromatin
	Positive Regulation	Form And Expand	Remodeling
	Of Leaf Genes		Hormone
	Repressors Of Root		Biosynthesis
	And Other Non Leaf		Enzymes
	Cell Types		Receptors
	Genes Involved In	Photosynthesis And	Light Harvesting
	Photosynthesis	Plastid	Coupled To ATP
		Differentiation	Production
			Chlorophyll
			Biosynthesis
		Calvin Cycle	Ribulose
		Activated	Bisphosphate
		Chloroplast	Carboxylase
		Biogenesis And	Chloroplast
		Plastid	Membranes
		Differentiation	Synthesis
		Activated	Chloroplast
			Ribosome
			Biogenesis
	Other Genes	Starch Biosynthesis	Starch Synthase
	Involved In	Lipid Biosynthesis
	Metabolism	Nitrogen	Nitrate Reductase
		Metabolism - NO3	Terpenoid
		Reduced And	Biosynthesis
		Amino Acids Made	Transcription
		Secondary	Factors
		Metabolites	Transporters
		Produced	Kinases
			Phosphatases And
			Signal Transduction
			Protein
			Chromatin Structure
			Modulators
Down	Genes Involved In	Leaf Genes	Transcription
Regulated	Negative Regulation	Activated And Leaf	Factors
Genes	Of Leaf Genes	Functions Induced;	Signal Transduction
		Dark-Adapted	Proteins - Kinases
		Metabolism	And Phosphatases
		Suppressed	Metabolic Enzymes
		Meristematic Genes	Chromatin
		Suppressed	Remodeling Proteins
		Leaf Metabolic
		Pathways Induced

While leaf polynucleotides and gene products are used singly, combinations of these polynucleotides are often better to optimize new growth and development patterns. Useful combinations include different leaf polynucleotides and/or gene products with a hormone responsive polynucleotide. These combinations are useful because of the interactions that exist between hormone-regulated pathways, nutritional pathways and development.

Use of Leaf Gene Promoters

Promoters of leaf genes are useful for transcription of desired polynucleotides, both plant and non-plant. If the leaf gene is expressed only in leaves, or specifically in certain kinds of leaf cells, the promoter is used to drive the synthesis of proteins specifically in those cells. For example, extra copies of carbohydrate transporter cDNAs operably linked to a leaf gene promoter and inserted into a plant increase the “sink” strength of leaves. Similarly, leaf promoters are used to drive transcription of metabolic enzymes that alter the oil, starch, protein, or fiber contents of a leaf. Alternatively, leaf promoters direct expression of non-plant genes that can, for instance, confer insect resistance specifically to a leaf. Additionally the promoters are used to synthesize an antisense mRNA copy of a gene to inactivate the normal gene expression into protein. The promoters are used to drive synthesis of sense RNAs to inactivate protein production via RNA interference.

III.A.4. Trichome Genes and Gene Components

Trichomes, defined as hair-like structures that extend from the epidermis of aerial tissues, are present on the surface of most terrestrial plants. Plant trichomes display a diverse set of structures, and many plants contain several types of trichomes on a single leaf. The presence of trichomes can increase the boundary layer thickness between the epidermal tissue and the environment, and can reduce heat and water loss. In many species, trichomes are thought to protect the plant against insect or pathogen attack, either by secreting chemical components or by physically limiting insect access to or mobility on vegetative tissues. The stellate trichomes of Arabidopsis do not have a secretory anatomy, but at a functional level, they might limit herbivore access to the leaf in the field. In addition, trichomes are known to secrete economically valuable substances, such as menthol in mint plants.

III.A.4.a. Identification of Trichome Genes, Gene Components and Products

Trichome genes identified herein are defined as genes or gene components capable of modulating one or more processes in or functions of a trichome, as described below. These genes, their components and products are useful for modulating diverse plant traits from production of secondary metabolites to pathogen resistance. Examples of such trichome genes and gene products are shown in the Reference and Sequence Tables and sequences encoding polypeptides of the Protein Group and Protein Group Matrix tables or fragments thereof, Knock-in, Knock-out, MA-diff and MA-clust. The biochemical functions of the protein products of many of these genes determined from comparisons with known proteins are also given in the Reference tables.

Trichome Genes Identified by Phenotypic Observation

Trichome genes were discovered and characterized from a much larger set of genes by experiments designed to find genes that cause phenotypic changes in trichome number and morphology on leaf, internode, cotyledon, petiole, and inflorescence. In these experiments, trichome genes were identified by either (1) ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The plants were then cultivated and one or more of the following phenotypes, which varied from parental “wild-type”, were observed: (1) trichome number; (2) trichome spacing (clustering); or (3) trichome branching. The genes regulating trichome phenotypes are identified in the Knock-In and Knock-Out Tables.

Trichome Genes Identified by Differential Expression

Trichome genes were also discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA products are associated specifically or preferentially with trichomes. These experiments made use of an Arabidopsis glaborous mutant and a hairy mutant. By comparing gene expression profiles of the glabrous mutant with those of the hairy mutant grown under identical conditions, genes specifically or preferentially expressed in trichomes were revealed. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108452). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Trichome genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Trichome Genes Identified by Cluster Analyses of Differential Expression

Trichome Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Trichome genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108452 of the MA_diff table(s).

Trichome Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Trichome genes. A group in the MA_clust is considered a Trichome pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Trichome Genes Identified by Amino Acid Sequence Similarity

Trichome genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Trichome genes. Groups of Trichome genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Trichome pathway or network is a group of proteins that also exhibits Trichome functions/utilities.

It is assumed that the genes differentially expressed in trichomes or leaves producing trichomes are concerned with specifying trichomes and their functions and therefore modulations of such genes and their products modify trichomes and their products.

Examples of phenotypes, biochemical activities, and transcription profiles that can be modulated by selected numbers of these genes and gene products singly or in combinations are described above and below.

III.A.4.b. Use of Trichome Genes, Gene Components and Products to Modulate Phenotypes

Trichome genes of the instant invention, when mutated or activated differently, are useful for modulating one or more processes of trichome structure and/or function including: (1) development; (2) plant stress tolerance; and (3) biosynthesis or secretion of trichome-specific molecules. Trichome genes, components and gene products are useful to alter or modulate one or more of the following phenotypes:

1.) Development

Trichome differentiation is integrated with leaf development, hormone levels and the vegetative development phase. The first trichome at the leaf tip appears only after the leaf grows to ˜100 μm in length. Subsequent events proceed basipetally as the leaf grows. As leaf development progresses, cell division patterns become less regular and islands of dividing cells can be observed among differentiated pavement cells with their characteristic lobed morphology. Trichome initiation in the expanding leaf occurs within these islands of cells and often defines points along the perimeter of a circle, with an existing trichome defining the center.

Once a cell enters the trichome pathway it undergoes an elaborate morphogenesis program that has been divided into different stages based on specific morphological hallmarks. The trichome genes, gene components and gene products of this invention are useful to modulate any one or all of these growth and development processes by affecting rate, timing, direction and size, for example. Trichome genes can also affect trichome number and the organs on which they occur, type of trichomes such as glandular trichomes and stellate trichomes; cell properties such as cell size, cell division rate and direction, cell elongation, cell differentiation, secretory cells, trichome number (average trichome number per leaf for mint: 13,500,000), cell walls, cell death, and response to reactive oxygen species; trichome architecture such as trichome cell structure, placement on leaf, and secretory systems; and trichome responses. Trichome genes, gene components and gene products of this invention are useful to modulate one or more of the growth and development processes above; as in timing and rate, for example. In addition, the polynucleotides and polypeptides of the invention can control the response of these processes to internal plant programs and signaling molecules such as leaf development, hormones (including abscisic acid, Auxin, cytokinin, gibberellins, and brassinosteroids, apoptosis; and coordinated trichome growth and development in flowers, stems, petioles, cotyledons, and hypocotyls.

2.) Plant Stress Tolerance

The physical characteristics of trichomes as well as the substances secreted by trichomes are useful in protecting the plant from both biotic and abiotic attacks. Thus, selected trichome genes and gene products can be used to help protect distinct cells, organs, or tissues as well as overall plant yield and vigor. Examples of stresses, tolerances to which are modulated by trichome genes and gene products are drought (e.g., trichome number variation can decrease the surface area that allows evaporation), heat (e.g., trichomes can produce shade and provide protection for meristems), salt, insects (e.g., trichomes can prevent insects from settling on plant surfaces), herbivory (e.g., trichomes can produce harmful chemicals), and ultraviolet light.

3.) Biosynthesis, Accumulation or Secretion of Metabolites

The glandular trichomes from various species are shown to secrete and, sometimes, locally synthesize a number of substances including salt, monoterpenes and sesquiterpenes, terpenoids, exudate, insect entrapping substances, antifeedants, pheromones, and others. Therefore, trichome genes can be used to modulate the synthesis, accumulation and secretion of a large number of metabolites especially related to trichome biology. Some are synthesized in response to biotic and abiotic stresses. For a more detailed description of these metabolites see the section “Use of Trichome Genes to Modulate Biochemical Activities” below.

Uses of Plants that are Modified as Described Above

Altering trichome properties is useful for modifying one or more plant traits making the plants more useful in agriculture, horticulture and for the production of valuable molecules. These plant traits include Production of specific carbohydrates, proteins, oils, aromas, flavors, pigments, secondary metabolites such as menthol (and other monoterpenes), etc., that can be used in situ or purified and used in a wide variety of industries; Increased production of molecules synthesized in trichomes by increasing the trichome number on different plant organs, such as cotyledons, leaves, hypocotyls, stems, petioles, etc.; Increased cotton fibers per boll due to decreased numbers of trichomes that reduces insect hiding and contamination; More optimal growth rate of a whole plant or specific parts of a plant due to more optimal trichome cellular development and the better resistance to biotic/abiotic stresses (including plant parts such as whole plant seedling, coleoptile elongation, young leaves, flowers, seeds, and fruit); increased harvested yield of plants, organs and their constituent molecules including biomass (such as fresh and dry weight during any time in plant life, including maturation and senescence, number of flowers, seed yield in terms of number, size, weight, harvest index, content and composition, e.g. amino acid, jasmonate, oil, protein and starch, and fruit yield in terms of number, size, weight, harvest index, post harvest quality, content and composition, e.g. amino acid, jasmonate, oil, protein and starch).

To regulate any of the phenotype(s) above, activities of one or more of the trichome genes or gene products can be modulated in an organism and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (Methods. Mol. Biol. 82:259-266 (1998)) and/or screened for variants as in Winkler et al., Plant Physiol. 118: 743-50 (1998) and visually inspected for the desired phenotype or metabolically and/or functionally assayed.

III.A.4.c. Use of Trichome Genes, Gene Components and Products to Modulate Biochemical Activities

The phenotype traits outlined above result from the integration of many cellular trichome associated processes and biochemical activities. Some of these are known from published literature and some can be deduced from the genes discovered in the MA Tables, etc. One or more of these trichome genes, gene components and products are useful to modulate these cellular processes, biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the table below:

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES AND/OR	CITATIONS INCLUDING
PROCESS	PATHWAYS	ASSAYS
Growth,	Cell wall biosynthetic	Molhoj et. al. (2001). Plant
Differentiation And	enzymes	Mol. Biol. 46, 263-275
Development	Cell fate determination	Krishnakumar and
	proteins	Oppenheimer (1999).
	Major pathways of carbon	Development 1221, 3079-3088.
	and nitrogen metabolism	Kroumova et al. (1994).
		PNAS 91, 11437-11441
Water	Cytoskeleton and Trichome	Schnittger et al. (1999).
Conservation And	morphology and spacing	Plant Cell 11, 1105-1116
Resistance To	controls	Hulskamp et al (1994). Cell 76,
Drought And		555-566
Other Related
Stresses
Trichome exudate	Insect repellant	Insects and The Plant
		Surface, pp 151-172,
		Edward Arnold, London
		(1986)
Terpenoid	Terpenoid biosynthesis	Alonso et al. (1992). J. Biol.
biosynthesis	enzymes including:	Chem. 267, 7582-7587
including	Farnesyltranstransferase	Rajonarivony et al (1992).
monoterpenes and	Geranylgeranyl-	Arch. Biochem. Biophys. 299, 77-82
sesquiterpenes	diphosphate synthase
	Geranyltranstransferase
	Farnesyl-diphosphate
	synthase
	Dimethylallyltranstransferase
	Geranyl-diphosphate
	synthase
H2O2	NADPH oxidase (subunit)	Alverez et al (1998) Cell 92,
accumulation and	synthesis and function	773-784
activation of SAR		Grant Orozco-Cardenas and
		Ryan (1999) PNAS 96,
		6553-6557
Antifeedants	Lactone biosynthesis	Paruch et al. (2000). J.
biosynthesis and	enzymes	Agric. Food Chem. 48,
secretion		4973-4977
Pheromone	Farnesine biosynthesis	Teal et al. (1999) Arch.
biosynthesis and	enzymes	Insect Biochem Physiol. 42,
secretion		225-232
Endoreplication	Cyclin and cyclin dependant	De Veylder et al. (2001)
	kinases	Plant Cell 13, 1653-1668
		De Veylder et al. (2001)
		Plant J. 25, 617-626

Specific enzyme and other activities associated with the functions of individual trichome genes that can be modulated by the trichome genes and gene products are listed in the Reference tables where the functions of individual genes and their products are listed. Assays for detecting such biological activities are described in the Protein Domain table, for example.

III.A.4.d. Use of Trichome Genes, Gene Components and Products to Modulate Phenotypes by Modulating Transcription Levels of Other Genes

Many of the genes are “up regulated” or “down regulated” in trichomes because they are regulated as members of networks or cascade of genes under the control of regulatory genes. Thus some trichome genes are useful to influence levels of other genes and so orchestrate the complex phenotypes. Examples of the types of genes with altered transcript levels in trichomes are described in the Table below, together with associated biological activities. “Up-regulated” profiles are those where the mRNA levels are higher in the glaborous plants as compared to the “hairy” plant. “Down-regulated” profiles represent higher transcript levels in the “hairy” plant as compared to the glaborous plant.

		PHYSIOLOGICAL	EXAMPLES OF
	TYPE OF GENES	CONSEQUENCES	BIOCHEMICAL
	WHOSE	OF MODIFYING	ACTIVITIES WHOSE
TRANSCRIPT	TRANSCRIPTS ARE	GENE PRODUCT	TRANSCRIPTS ARE
LEVELS	CHANGED	LEVELS	CHANGED
Up Regulated	Genes active in	Changes in	Transcription
Transcripts	suppressing trichome	Hormone	Factors
	formation	Perception	Transporters
		Changes in	Change In Cell G-
		Hormone	proteins
		Biosynthesis	Kinases And
		Changes in	Phosphatases
		Specific Gene	Transcription
		Transcription	factors
		Initiation	Ca-binding proteins
		Changes in	Transcription
		cytoskeleton and	Activators
		cell wall	Change In
		assembly and	Chromatin
		structure	Structure And/Or
			Localized DNA
			Topology
			Specific Factors
			(Initiation And
			Elongation) For
			Protein Synthesis
			Maintenance Of
			mRNA Stability
			Maintenance Of
			Protein Stability
			Maintenance Of
			Protein-Protein
			Interaction
Down-Regulated	Genes active in	Changes in	Transcription
Transcripts	inducing formation of	Hormone	Factors
	trichomes	Perception	Change In Protein
		Changes in	Structure By
		Hormone	Phosphorylation
		Biosynthesis	(Kinases) Or
		Changes in	Dephosphorylation
		Specific Gene	(Phosphatases)
		Transcription	Change In
		Initiation	Chromatin
		Changes in	Structure And/Or
		cytoskeleton and	DNA Topology
		cell wall	G-proteins, Ca2+-
		assembly and	binding proteins
		structure
	Genes associated with	Changes in cell
	Trichome	size, cell shape
	differentiation and
	structure
	Genes associated with	Changes in
	trichome-specific	terpenoid
	metabolic pathways	biosynthesis
		Changes in
		antifeedant and
		pheromone
		biosynthesis

While trichome polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth, development and leaf biochemistry. Combinations of trichome polynucleotide(s) and/or gene product(s) with genes or gene products involved in leaf development, hormone responses, or vegetative development are useful because trichome development is integrated with these processes.

Use of Promoters of Trichome Genes

Promoters of trichome genes are useful for facilitating transcription of desired polynucleotides, both plant and non-plant in trichomes. For example, extra copies of existing terpenoid synthesis coding sequences can be operably linked to a trichome gene promoter and inserted into a plant to increase the terpenoids in the trichome. Alternatively, trichome promoters can direct expression of non-plant genes or genes from another plant species that can, for instance, lead to new terpenoids being made. The promoters can also be operably linked to antisense copies of coding sequences to achieve down regulation of these gene products in cells.

III.A5. Chloroplast Genes, Gene Components and Products

The chloroplast is a complex and specialized organelle in plant cells. Its complexity comes from the fact that it has at least six suborganellar compartments subdivided by double-membrane envelope and internal thylakoid membranes. It is specialized to carry out different biologically important processes including photosynthesis and amino acid and fatty acid biosynthesis. The biogenesis and development of chloroplast from its progenitor (the proplasptid) and the conversion of one form of plastid to another (e.g., from chloroplast to amyloplast) depends on several factors that include the developmental and physiological states of the cells.

One of the contributing problems that complicate the biogenesis of chloroplast is the fact that some, if not most, of its components must come from the outside of the organelle itself. The import mechanisms must take into account to what part within the different sub-compartments the proteins are being targeted; hence the proteins being imported from the cytoplasm must be able to cross the different internal membrane barriers before they can reach their destinations. The import mechanism must also take into account how to tightly coordinate the interaction between the plastid and the nucleus such that both nuclear and plastidic components are expressed in a synchronous and orchestrated manner. Changes in the developmental and physiological conditions within or surrounding plant cells can consequently change this tight coordination and therefore change how import mechanisms are regulated as well. Manipulation of these conditions and modulation of expression of the import components and their function can have critical and global consequences to the development of the plant and to several biochemical pathways occurring outside the chloroplast. Expression patterns of such genes have been determined using microarray technology.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing about 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in a mutant in a mutant (CiA2) of Arabidopsis thaliana, that is distributed in chloroplast biogenesis relative to wild type grown in the same conditions were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones identified. The MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones that are involved in the import of proteins to chloroplast and chloroplast biogenesis.

Examples of genes and gene products that are involved in the import of proteins to chloroplast are shown in the Reference, Sequence, Protein Group, and Protein Group Matrix tables. While chloroplast protein import polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different chloroplast protein import responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Manipulation of one or more chloroplast protein import gene activities are useful to modulate the biological processes and/or phenotypes listed below. Chloroplast protein import responsive genes and gene products can act alone or in combination. Useful combinations include chloroplast protein import responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. Manipulation of one or more chloroplast protein import gene activities are useful to modulate the biological processes and/or phenotypes listed below.

Such chloroplast protein import responsive genes and gene products can function to either increase or dampen the above phenotypes or activities in response to changes in the regulation of import mechanisms. Further, promoters of chloroplast protein transport responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by chloroplast protein transport or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the chloroplast protein transport responsive genes when the desired sequence is operably linked to a promoter of a chloroplast protein transport responsive gene. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Chloroplast (relating to SMD 8093, SMD 8094)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Chloroplast genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Chloroplast Genes Identified by Cluster Analyses of Differential Expression Chloroplast

Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Chloroplast genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Chloroplast (relating to SMD 8093, SMD 8094) of the MA_diff table(s).

Chloroplast Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Chloroplast genes. A group in the MA_clust is considered a Chloroplast pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Chloroplast Genes Identified by Amino Acid Sequence Similarity

Chloroplast genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Chloroplast genes. Groups of Chloroplast genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Chloroplast pathway or network is a group of proteins that also exhibits Chloroplast functions/utilities.

III.A.5.a. Use of Chloroplast Protein Import Responsive Genes to Modulate Phenotypes

Chloroplast protein import responsive genes and gene products are useful to or modulate one or more phenotypes, including growth, roots, stems, and leaves; development, including plastid biogenesis, plastid division, plastid development and thylakoid membrane structures differentiation including plastid/chloroplast differentiation; photosynthesis including carbon dioxide fixation; transport including transcription/translation regulation within transport complex, phosphate translocation, and targeted starch deposition and accumulation; and biosynthesis of essential compounds such as lipid biosynthesis, riboflavin biosynthesis, carotenoid biosynthesis, and aminoacid biosynthesis.

To improve any of the phenotype(s) above, activities of one or more of the chloroplast protein import responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Saito et al. (1994, Plant Physiol. 106: 887-95), Takahashi et al (1997, Proc. Natl. Acad. Sci. USA 94: 11102-07) and Koprivova et al. (2000, Plant Physiol. 122: 737-46).

III.A.5.b. Use of Chloroplast Protein Import-Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the chloroplast protein import responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the table below:

	BIOCHEMICAL OR	CITATIONS
	METABOLIC ACTIVITIES	INCLUDING
GENERAL CATEGORY	AND/OR PATHWAYS	ASSAYS
Cell Growth and	Regulation of Leaf	Reinbothe et al. (1997) Proc.
Differentiation	Development Including	Natl. Acad. Sci. USA.
	Photosynthetic	94: 8890-8894
	Apparatus	Eggink and Hoober (2000) J.
		Biol. Chem. 275: 9087-9090
		Jagtap et al. (1998) J Exptl
		Botany 49: 1715-1721
	Regulation of Plastid	Lawrence and Kindle (1997)
	Biogenesis and Plastid	J. Biol. Chem. 272: 20357-20363
	Division	Lahiri and Allison (2000)
		Plant Physiol. 123: 883-894
	Development of Plastid	Kouranov et al. (1999) J.
	Inner/Outer and	Biol. Chem. 274: 25181-25186
	thylakoid Membrane	Jackson et al. (1998) J. Biol.
	Structures	Chem. 273: 16583-16588
		Li and Chen (1997) J. Biol.
		Chem. 272: 10968-10974
		Lawrence and Kindle (1997)
		J. Biol. Chem. 272: 20357-20363
		Silva-Filho et al. (1997) J.
		Biol. Chem. 272: 15264-15269
	Regulation of	May and Soll (2000) Plant
	transcription and/or	Cell 12: 53-63
	translation related to	Caliebe et al. (1997) EMBO
	maintenance of stability	J. 16: 7342-7350
	of protein-protein
	interaction within
	transport complex
Physiology	Modulation of	Sung and Krieg (1979) Plant
	Photosynthesis	Physiol 64: 852-56
	Regulation of Lipid	Bourgis et al. (1999) Plant
	Biosynthesis	Physiol. 120: 913-922
		Reverdatto et al. (1999)
		Plant Physiol. 119: 961-978
		Roesler et al. (1997) Plant
		Physiol. 113: 75-81
	Regulation of Riboflavin	Jordan et al. (1999) J. Biol.
	(Vitamin B) biosynthesis	Chem. 274: 22114-22121
	Regulation of phosphate	Flugge (1999) Annu. Rev.
	translocation across	Plant Physiol. Plant Mol.
	chloroplast membrane	Biol. 50: 27-45
		Silva-Filho et al.
		(1997) J. Biol. Chem.
		272: 15264-15269
	Regulation of targeted	Yu et al. (1998) Plant
	starch depostion and	Physiol. 116: 1451-1460
	accumulation
	Modulation of protein	Summer and Cline (1999)
	targeting and	Plant Physiol. 119: 575-584
	translocation across	Dabney-Smith et al. (1999)
	chloroplast membrane	J. Biol. Chem. 274: 32351-32359
		Hinnah et al. (1997) EMBO
		J. 16: 7351-7360
	Regulation of carotenoid	Bonk et al. (1996) Plant
	biosynthesis	Physiol. 111: 931-939
	Regulation of amino acid	Flugge (1999) Annu. Rev.
	biosynthesis	Plant Physiol. Plant Mol.
		Biol. 50: 27-45
	Regulation of secondary	Flugge (1999) Annu. Rev.
	metabolism	Plant Physiol. Plant Mol.
		Biol. 50: 27-45
Signal Transduction	Regulation of gene	Chen et al. (2000) Plant
	transcriptional activity	Physiol. 122: 813-822.
	specific to chloroplast	Macasev et al. (2000) Plant
	protein import	Physiol. 123: 811-816
	Regulation of protein	Lang et al. (1998) J. Biol.
	target signal cleavage	Chem. 273: 30973-30978
	and protein degradation	Jackson et al. (1998) J. Biol.
		Chem. 273: 16583-16588
		Richter and Lamppa (1998)
		Proc. Natl. Acad. Sci. USA.
		95: 7463-7468
	Regulation of ion	Van der Wijngaard and
	channel conformation	Vredenberg (1999) J. Biol.
	and activity	Chem. 274: 25201-25204
	Regulation of kinase and	Waegemann and Soll (1996)
	phosphatases synthesis	J. Biol. Chem. 271: 6545-6554
	and activity	Li et al. (2000) Science 287-300-303
		Muller et al. (2000) J. Biol.
		Chem. 275: 19475-19481
	Modulation of Molecular	Bonk et al. (1996) Plant
	Chaperone and Other	Physiol. 111: 931-939
	Protein Folding Activity	Walker et al. (1996) J. Biol.
		Chem. 271: 4082-4085
		Kessler and Blobel (1996).
		Proc. Natl. Acad. Sci. USA
		93: 7684-7689
		Jackson et al. (1998) J. Biol.
		Chem. 273: 16583-16588

Other biological activities that can be modulated by the chloroplast protein import responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Chloroplast protein import responsive genes are characteristically differentially transcribed in response to fluctuating chloroplast protein import levels or concentrations, whether internal or external to an organism or cell. The MA_diff reports the changes in transcript levels of various chloroplast protein import responsive genes that are differentially expressed among the mutants and the wild type.

Profiles of some of these chloroplast protein import responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Responders to	Chloroplast	Transporters
transcripts	defective chloroplast	protein import	Metabolic enzymes
	protein import	regulation	Change in cell
	Genes induced by	Chloroplast	membrane structure and
	defective import	protein import and	potential
		transport	Kinases and
		Chloroplast	phosphatases
		import	Transcription
		metabolism	activators
		Synthesis of	Change in
		secondary	chromatin structure
		metabolites and/or	and/or localized
		proteins	DNA topology
		Modulation of	Redox control
		chloroplast import	Metabolic enzymes
		response	concerned with
		transduction	chloroplast
		pathways	biochemistry
		Changes in	Organelle gene
		chloroplast	expression and
		membranes	translation
		Specific gene
		transcription
		initiation
		Chloroplast and
		non-chloroplast
		metabolic
		pathways
Down-regulated	Responders to	Regulation of	Transcription
transcripts	defective chloroplast	chloroplast protein	factors
	protein import.	import pathways	Change in protein
	Genes repressed by	released	structure by
	defective chloroplast	Chloroplast	phosphorylation
	protein import	protein import and	(kinases) or
	Genes with unsTable	transport	dephosphoryaltion
	mRNAs when	Chloroplast	(phosphatases)
	chloroplast import is	import	Change in
	defective	metabolism	chromatin structure
	Genes with	Changes in	and/or DNA
	discontinued	pathways and	topology
	expression or	processes	Stability factors for
	unsTable mRNA in	operating in	protein mRNA
	presence of	chloroplasts	synthesis and
	chloroplast protein	Changes in	degradation
	import	organelle	Organelle
		membranes	transcription and
		Loss of organelle	translation proteins
		gene expression,	Metabolic enzymes
		RNA and protein
		synthesis
		Changes in
		metabolism other
		than chloroplast
		protein import
		pathways
		Chloroplast
		import
		metabolism

Use of Promoters of Chloroplast Genes

Promoters of Chloroplast genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Chloroplast genes, where the desired sequence is operably linked to a promoter of a Chloroplast gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression

III.A.6. Reproduction Genes, Gene Components and Products

Reproduction genes are defined as genes or components of genes capable of modulating any aspect of sexual reproduction from flowering time and inflorescence development to fertilization and finally seed and fruit development. These genes are of great economic interest as well as biological importance. The fruit and vegetable industry grosses over $1 billion USD a year. The seed market, valued at approximately $15 billion USD annually, is even more lucrative.

Expression of many reproduction genes and gene products is orchestrated by internal programs or the surrounding environment of a plant, as described below. These genes and/or products have great importance in determining traits such as fruit and seed yield. Examples of such reproduction genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix tables, Knock-in, Knock-out, MA-diff and MA-clust. The biochemical functions of the protein products of many of these genes determined from comparisons with known proteins are also given in the Reference tables.

Reproduction Genes Identified by Phenotypic Observation

Reproduction genes were discovered and characterized from a much larger set of genes by experiments designed to find genes that cause phenotypic changes in flower, silique, and seed morphology. In these experiments, reproduction genes were identified by either (1) ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The plants were then cultivated and phenotypes, which varied from the parental “wild-type”, were observed.

One particular example of reproductive genes are those that are regulated by AP2. AP2 is a transcription factor that regulates many genes, both as a repressor of some genes and as an activator of others. Some of these genes are those which establish the floral meristem or those which regulate floral organ identity and development. As such, AP2 has an effect on reproduction. This is, loss of AP2 activity is correlated with decreased male and female reproduction. AP2 is also known to have an effect on seed mass, and therefore on yield. That is, overexpression of AP2 is correlated with smaller seeds or seedless fruit while repression of AP2 correlates with larger seeds (see, e.g. U.S. Pat. No. 5,994,622).

Another example of reproduction genes are those that are regulated by PISTILLATA (PI). PI is a transcription factor that regulates many genes both as a repressor and activator. Some of these genes are those which regulate floral organ identity and development, in conjunction with other transcription factors such as AP2 and AGAMOUS. As such, PI has an effect on reproduction in that loss of PI activity is correlated with decreased male reproduction. PI is also known to have an effect on carpel number, and therefore potentially on ovule/seed number and yield. Specifically, repression of PI results in increased carpel number and therefore ovule number.

Yet another example of reproductive genes are those that are regulated by MEDEA (MEA). MEA is a SET-domain containing protein that associates with other proteins to form complexes that affect chromatin structure and therefore gene expression. As such, loss of MEA function is correlated with global gene activation and repression leading to many phenotypes including decreased female reproduction and therefore reduced seed set and yield.

In the characterization of these and other reproduction genes, the following phenotypes were scored:

I. Flower

• • Size
    • Large
    • Small
  • Shape
    • Abnormal organ numbers
    • Agamous
    • AP-2 like
  • Color
  • Number
  • Fused Sepals

II. Silique

• • Size
  • Seed number
    • Reduced
    • Absent
  • Seed color

The identified genes regulating reproduction are identified in the Knock-in and Knock-out Tables.

Reproduction Genes Identified by Differential Expression

Reproduction genes were also identified in experiments designed to discover genes whose mRNA products were in different concentrations in whole flowers, flower parts, and siliques relative to the plant as a whole. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108473, 108474, 108429, 108430, 108431, 108475, 108476, 108501). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Reproduction genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Reproduction Genes Identified by Cluster Analyses of Differential Expression

Reproduction Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Reproduction genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108473, 108474, 108429, 108430, 108431, 108475, 108476, 108501 of the MA_diff table(s).

Reproduction Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Reproduction genes. A group in the MA_clust is considered a Reproduction pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Reproduction Genes Identified by Amino Acid Sequence Similarity

Reproduction genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Reproduction genes. Groups of Reproduction genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Reproduction pathway or network is a group of proteins that also exhibits Reproduction functions/utilities.

It is assumed that the reproduction genes differentially expressed in floral parts and seeds are concerned with specifying flowers and seeds and their functions, and therefore modulations of such genes produce variant flowers and seeds.

Reproductive genes and gene products can function to either increase or dampen the phenotypes, biochemical activities and transcription profiles, either in response to changes of internal plant programs or to external environmental fluctuations.

III.A.5.a. Use of Reproduction Genes, Gene Components and Products to Modulate Phenotypes

The reproduction genes of the instant invention, when mutated or activated differently, are capable of modulating one or more processes of flower, seed and fruit development. They are thus useful for improving plants for agriculture and horticulture and for providing seeds with a better chemical composition for diverse industries including the food, feed and chemical industries. Reproduction genes, gene components and products are useful to alter the following traits and properties of plants, including development, such as flowering time and number of inflorescences, flower development (including anther, stamen, pollen, style, stigma, ovary, ovule, and gametes), pollination and fertilization (including sporogenesis gametogenesis, zygote formation, embryo development, endosperm development, and male sterility, hybrid breeding systems and heterosis); cellular properties, such as cell size, cell shape, cell death, cell division, cell elongation, cell differentiation, and meiosis; organ characteristics, such as flowers, receptacle, sepals, petals, and tepals color, shape, and size, number, and petal drop); androecium, such as stamen (including anther size, pollen sterile, size, shape, weight and color, number, and filament size), gynoecium, such as carpel, ovary. number. and length) and style (stigma, ovule, size, shape, and number); pedicel and peduncle (size and shape), seeds, such as placenta, embryo. cotyledon, endosperm, suspensor, seed coat (testa), aleurone, development, including apomixis (gametophytic, apospory, diplospory), dormancy and germination; fruits, such as pericarp—thickness, texture (exocarp, mesocarp, endocarp); development (seed set, fruit set, false fruit, fruit elongation and maturation, and dehiscence), and fruit drop; plant seed yield, such as increased biomass, better harvest index, attraction of favorable insects, better seed quality, and better yield of constituent chemicals; and plant population features, such as architecture (shade avoidance and planting density).

To regulate any of the phenotype(s) above, activities of one or more of the reproduction genes or gene products can be modulated in an organism and tested by screening for the desired trait. Specifically, the gene, mRNA levels or protein levels can be altered in a plant using the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (Methods Mol. Biol. 82:259-266 (1998)) and/or screened for variants as in Winkler et al. (Plant Physiol 118:743-50 (1998)) and visually inspected for the desired phenotype or metabolically and/or functionally assayed.

III.A.5.b. Use of Reproduction Genes to Modulate Biochemical Activities

The activities of one or more of the reproduction genes can be modulated to change biochemical or metabolic activities and/or pathways such as those examples noted below. Such biological activities can be measured according to the citations included in the Table below:

	EXAMPLES OF
	BIOCHEMICAL/MOLECULAR
FUNCTION/PROCESS	ACTIVITIES	Reference AND ASSAY
Metabolism	Energy production and	Ap Rees, T. (1974). In
	conversion	“Plant Biochemistry.
	Glucosyl-transferase	Biochemistry, Series One”,
	(CLONE_ID 1040)	Vol. 11. (H. L. Kornberg and
	Heme-binding protein	D. C. Phillips, eds.),
	(putative cytochrom	Butterworths, London.
	B5)	Juliano, B. O. and Varner, J. E.
	(CLONE_ID 3743)	(1969). Plant Physiol.
	Storage protein synthesis	44, 886-892.
	Inorganic ion transport and	Bewley et al. (1993). Plant
	metabolism	Physiol. Biochem. 31, 483-490.
	Peroxidase	Hills, M. J. and Beevers, H.
	(CLONE _ID 100990)	(1987). Plant Physiol. 84,
	Cystathione beta	272-276.
	synthase	Olsen, L. J. and Harada, J. J.
	(CLONE_ID 21847)	(1991). In “Molecular
	Amino acid transport and	Approaches to
	metabolism	Compartmentalization and
	l-asparaginase	Metabolic Regulation (A. H. C. Huang
	(CLONE_ID 92780)	and L. Taiz, eds.),
	Putative peptide/amino	ASPP, Rockville, Md.
	acid	Mitsuhashi, W. and Oaks, A.
	transporter	(1994). Plant Physiol.
	(CLONE_ID 113723)	104, 401-407.
	Carbohydrate transport and	Walker-Smith, D. J., and
	metabolism	Payne, J. W. (1985). Planta
	Glucose transport	164, 550-556.
	protein	Salmenkallio, M. and
	(CLONE_ID 33727)	Sopanen, T. (1989). Plant
	Putative sugar	Physiol. 89, 1285-1291.
	transporter	Baumgartner, B. and
	(CLONE_ID 3250)	Chrispeels, M. J. (1976).
	Starch biosynthesis	Plant Physiol. 58, 1-6.
	Coenzyme metabolism	Elpidina, E. N. et al. (1991).
	Tyrosine	Planta 185, 46-52.
	aminotransferase	Ericson, M. C. and
	(ROOTY/SUPERROOT1)	Chrispeels, M. J. (1973).
	(CLONE_ID 14570)	Plant Physiol. 52, 98-104.
	Formate dehydrogenase	Kern, R. and Chrispeels, M. J.
	(CLONE_ID 7530)	1978) Plant Physiol. 62,
	Lipid metabolism	815-819.
	Branched chain α-	Dilworth, M. F. and Dure, L.
	ketoacid	III. (1978). Plant Physiol.
	dehydrogenase E2	61, 698-702.
	subunit	Chrispeels, M. J. and Jones, R. L.
	(CLONE_ID 25116)	(1980/81). Isr. J. Bot.
	Acyl carrier protein-1	29, 222-245.
	(CLONE_ID 14291)	Gould, S. E. B., and Rees, D. A.
	Lipid metabolic enzymes	(1964). J. Sci. Food
	Secretion	Agric. 16, 702-709.
	Sensor protein RcsC-
	like
	(CLONE_ID 16461)
	Signal recognition
	particle
	RP54 (CLONE_ID
	22158)
Modulate floral organ	Transcriptional control	Elliot et al. (1996). Plant
number	ANT (AP2-domain) DNA	Cell 8, 155-168.
	binding protein	Sakai et al. (2000). Plant
	SUP (Zinc finger)	Cell 12, 1607-1618.
		Jacobsen and Meyerowitz
		(1997). Science 277, 1100-1103.
Floral organ size	Transcriptional control	Mizukami et al. (2000).
	ANT (AP2-domain) DNA	PNAS 97, 942-947.
	binding protein	Krizek (1999).
		Developmental Genetics 25,
		224-236.
Female organ	Membrane receptor kinase	Clark and Meyerowitz
number/Floral meristem	signal transduction	(1997). Cell 89, 575-585
size	CLV1 (LRR domain and	Jeong et al. (1999). Plant
	kinase domain) receptor	Cell 11, 1925-1934.
	CLV2 (LRR domain)	Fletcher et al. (1999).
	receptor	Science 283, 1911-1914.
	CLV3 (Receptor ligand)
Female reproduction	DNA binding protein	Yanofsky et al. (1990).
	AG (MADS domain) DNA	Nature 346, 35-39.
	binding protein
Female reproduction	Signal transduction	Kieber et al. (1993). Cell
	CTR1 (Raf kinase)	72, 427-441.
Male organ number	DNA methylation	Jacobsen and Meyerowitz
	MET1 (DNA	(1997). Science 277, 1100-1103.
	methyltransferase)
Seed size control	DNA binding protein	Jofuku et al. (1994). Plant
	AP2 (AP2 domain)	Cell 6, 1211-1225.
	RAP2 (AP2 domain)	US Patent #6,093,874;
		#5,994,622
Seed size control	Polycomb group protein	Luo et al. (2000). PNAS 97,
	complex	10637-10642.
	FIE, FIS2, MEA
Seed size control	DNA methylation	Scott et al. (2000).
	MET1	Development 127, 2493-2502.
		Vinkenoog et al. (2000).
		Plant Cell 12, 2271-2282.
		Luo et al. (2000). PNAS 97,
		10637-10642.
Embryo	CAAT box binding complex	Lotan et al. (1998). Cell 93,
development/Embryo	LEC1/HAP3	1195.
viability	HAP2, HAP5	US Patent #6,235,975
Embryo development/Seed	DNA binding proteins	Finkelstein et al. (1998).
dormancy	ABI4 (AP2 domain)	Plant Cell 10, 1043-1054.
	FUS3 (B3 domain)	Luerssen et al. (1998). Plant
	VP1 (B3 domain)	J. 15, 755-764.
Embryo development	Signal transduction	Leung et al. (1994). Science
	ABI1, ABI2	264, 1448-1452.
	[Serine/threonine protein	Leung et al. (1997). Plant
	phosphatase 2C (PP2C)]	Cell 9, 759-771.
Endosperm development	Chromatin level control of	Ohad et al. (1996). PNAS
	gene activity	93, 5319-5324.
	Polycomb complex; FIE,	US Patent #6,229,064
	MEA, FIS2	Kiyosue et al. (1999).
		PNAS 96, 4186-4191.
		Grossniklaus et al. (1998).
		Science 280, 446-450.
		Chaudhury et al. (1997)
		PNAS 94, 4223-4228.
Integument	DNA binding	Jofuku et al. (1994). Plant
development/Seed coat	AP2, ANT (AP2 domain)	Cell 6, 1211-1225.
development	BEL1 (Homeodomain)	Klucher et al. Plant Cell 8,
		137-153.
		Reiser et al. (1995). Cell 83,
		735-742.
Anthocyanin production	Secondary transporter	Debeaujon et al. (2001).
	TT12 (MATE; multidrug and	Plant Cell 13, 853-872.
	toxic compound extrusion)
Anthocyanin production	DNA binding protein	Nesi et al. (2000). Plant Cell
	TT8 (Basic helix-loop-helix	12, 1863-1878.
	domain)
Fruit development	Chromatin level control of	Ohad et al. (1996). PNAS
	gene activity	93, 5319-5324.
	Polycomb complex; FIE,	Kiyosue et al. (1999).
	MEA, FIS2	PNAS 96, 4186-4191.
		Grossniklaus et al. (1998).
		Science 280, 446-450.
		Chaudhury et al. (1997)
		PNAS 94, 4223-4228.
Fruit size control	Signal transduction	Frary et al. (2000). Science
	FW2.2 (c-Ras P21)	289, 85-88.
Fruit development/Pod	Transcriptional control	Liljegren et al. (2000).
shattering	SHP1, SHP2, FUL (MADS	Nature 404, 766-770.
	domain) DNA binding	Ferrandiz et al. (2000).
	proteins	Science 289, 436-438..
Transcription and	Transcription	Delseny, M. et al. (1977).
Posttranscription	SRF-domain AGL11	Planta 135, 125-128.
	(CLONE_ID 32791)	Lalonde, L. and Bewley, J. D.
	AP2-domain containing	(1986). J. Exp. Bot. 37,
	protein (CLONE_ID	754-764.
	332)	Walling, L. et al. (1986).
	Myb-DNA binding	PNAS 83, 2123-2125.
	protein	Okamuro, J. K. and
	(CLONE_ID 94597)	Goldberg, R. B. (1989). In
	Transcription factors	“Biochemistry of Plants,
	Signal transduction	Vol 15.” Academic Press,
	mechanisms	Inc.
	Protein-kinases	Wong, J. et al. (1995).
	Phosphatases	Genes Dev. 9, 2696-2711.
	meiosis proteins	Dimitrov et al. (1994). J.
	Chromatin remodeling	Cell Biol. 126, 591-601.
	proteins	Landsberger, N. and
	Chaperones	Wolffe, A. P. (1997).
	Chalcone synthase	EMBO J. 16, 4361-4373.
	Putative Ser/Thr protein	Bogdanove, A. J. and
	kinase (CLONE_ID	Martin, G. G. (2000). PNAS
	31383)	97, 8836-8840.
	ER6-like protein	Zhu, H. et al. Science Jul.
	(implicated in ethylene	26, 2001:
	signal transduction)	10.1126/science.1062191
	(CLONE_ID 7474)	(Reports).
	Translation, ribosomal
	structure and biogenesis
	Ribosomal proTein
	S15A
	(CLONE_ID 17466)
	Translation initiation
	factor
	(CLONE_ID 103464)
	Posttranslational
	modification, protein
	turnover, chaperones
	DnaJ-domain containing
	protein (CLONE_ID
	4150)
	Cyclophilin-like protein
	(CLONE_ID 35643)
Cell division and Repair	Cell division and	Rogan, P. G. and Simon, E. W.
	chromosome partitioning	(1975). New Phytol. 74,
	Protein of unknown	273-275.
	function	Morahashi, Y. and Bewley, J. D.
	with tropomyosin-,	(1980). Plant Physiol
	myosin	66, 70-73.
	tail- and filament-	Morahashi, Y. et al. (1981).
	domains	Plant Physiol. 68, 318-323.
	(CLONE_ID 15546)	Morahashi, Y. (1986).
	Actin-1	Physiol. Plant. 66, 653-658.
	(CLONE_ID 25785)	Zlatanova, J. et al. (1987).
	DNA replication,	Plant Mol. Biol. 10, 139-144.
	recombination and repair	Zlatanova, J. and Ivanov, P.
	Proliferating cell	(1988). Plant Sci. 58, 71-76.
	nuclear
	antigen-1 (axillary
	protein,
	DNA polymerase I
	delta)
	(CLONE_ID 28554)
	AAA-type ATPase,
	cdc48
	(CLONE_ID 100292)
	Cell envelope biogenesis,
	outer membrane
	dTDP-D-glucose 4,6-
	dehydratase
	(CLONE_ID 28597)
	Putative cinnamoyl-
	CoA
	reductase
	(CLONE_ID 109228)

Other biological activities that are modulated by the reproductive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table, for example.

III.5.A.c. Use of Reproduction Genes, Gene Components and Products to Modulate Transcription Levels

Reproduction genes are characteristically differentially transcribed in response to cell signals such as fluctuating hormone levels or concentrations, whether internal or external to an organism or cell. Many reproduction genes belong to networks or cascades of genes under the control of regulatory genes. Thus some reproduction genes are useful to modulate the expression of other genes. Examples of transcription profiles of reproduction genes are described in the Table below with associated biological activities. “Up-regulated” profiles are those where the mRNA transcript levels are higher in flowers, flower parts or siliques as compared to the plant as a whole. “Down-regulated” profiles represent higher transcript levels in the whole plant as compared to flowers, flower parts or siliques alone.

			EXAMPLES OF
			BIOCHEMICAL
		PHYSIOLOGICAL	ACTIVITIES OF
	TYPE OF GENES	CONSEQUENCES	GENES WITH
TRANSCRIPT	WITH ALTERED	OF ALTERING	ALTERED
LEVELS	ACTIVITY	GENE EXPRESSION	EXPRESSION
Up Regulated	Genes that control	Flowers form from	Transcription Factors
Transcripts	flower differentiation,	flower meristem	Signal transduction
Flower	number and size		Membrane Structure
Reproduction	Genes that promote	Floral organs mature	Protein kinases
Genes	petal, stamen and		Phosphatases
	carpel formation		Meiosis proteins
	Genes controlling	Flavonoid pathways	Chromatin
	flower-specific	induced	remodeling proteins
	metabolism such as		Chaperones
	petal pigments		Chalcone synthase
	Genes that promote		Amino acid transport
	ovule formation		and metabolism
	Genes that promote		Storage protein
	fertilization, seed,		synthesis
	embryo and		Lipid metabolic
	endosperm formation		enzymes
			Carbohydrate
			transport and
			metabolism
			Starch biosynthesis
AP2	Genes activated by	Many steps and	Proteins associated
Reproduction	AP2 transcription	pathways induced,	with:
Genes	factors	developmental and	Energy production
		metabolic	and conversion
	Genes that induce	No petals or stamens	Amino acid transport
	petal and stamen	produced	and metabolism
	formation		Carbohydrate
			transport and
			metabolism
			Lipid metabolism
			Transcription and
			signal transduction
			Poor translational
			modification
			DNA replication
			Chromatin
			remodeling
Down-Regulated	Genes that repress	Flowers form from	Transcritipion factors
Transcripts	flower development	flower meristem	Signal transduction
Flower			pathways
Reproduction			Kinases and
Genes			phosphatases
	Genes that induce	Non-floral organs are	Chromatin
	stem, leaf and other	repressed	remodeling proteins
	organ differentiation
	Genes that negatively	Flower-specific
	regulate flower	pathways are induced
	specific metabolism
	Genes that negatively
	regulate ovule
	formation, meiosis,
	fertilization and seed
	development
AP2 Reproduction	Genes activated by	Many steps and	Proteins associated
Genes	AP2 transcription	pathways induced,	with:
	factors	developmental and	Energy production
		metabolic	and conversion
	Genes that induce	No petals or stamens	Amino acid transport
	petal and stamen	produced	and metabolism
	formation		Carbohydrate
			transport and
			metabolism
			Lipid metabolism
			Transcription and
			signal transduction
			Poor translational
			modification
			DNA replication
			Chromatin
			remodeling

While polynucleotides and gene products modulating reproduction can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different polynucleotides and/or gene products of the instant invention that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of a polynucleotide and/or gene product(s) capable of modulating reproduction with a hormone responsive polynucleotide, particularly one affected by gibberellic acid and/or Auxin, is also useful because of the interactions that exist between hormone-regulated pathways, and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways.

Use of Promoters and Reproduction Genes

Promoter of reproduction genes are useful for transcription of desired polynucleotides, both plant and non-plant. For example, extra copies of carbohydrate transporter genes can be operably linked to a reproduction gene promoter and inserted into a plant to increase the “sink” strength of flowers or siliques. Similarly, reproduction gene promoters can be used to drive transcription of metabolic enzymes capable of altering the oil, starch, protein or fiber of a flower or silique. Alternatively, reproduction gene promoters can direct expression of non-plant genes that can, for instance confer insect resistance specifically to a flower.

III.A.7. Ovule Genes, Gene Components and Products

The ovule is the primary female sexual reproductive organ of flowering plants. It contains the egg cell and, after fertilization occurs, contains the developing seed. Consequently, the ovule is at times comprised of haploid, diploid and triploid tissue. As such, ovule development requires the orchestrated transcription of numerous polynucleotides, some of which are ubiquitous, others that are ovule-specific and still others that are expressed only in the haploid, diploid or triploid cells of the ovule.

Although the morphology of the ovule is well known, little is known of these polynucleotides and polynucleotide products. Mutants allow identification of genes that participate in ovule development. As an example, the pistillata (PI) mutant replaces stamens with carpels, thereby increasing the number of ovules present in the flower. Accordingly, comparison of transcription levels between the wild-type and PI mutants allows identification of ovule-specific developmental polynucleotides.

Changes in the concentration of ovule-specific polynucleotides during development results in the modulation of many polynucleotides and polynucleotide products. Examples of such ovule-specific responsive polynucleotides and polynucleotide products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff, and MA_clust tables. These polynucleotides and/or products are responsible for effects on traits such as fruit production and seed yield.

While ovule-specific developmentally responsive polynucleotides and polynucleotide products can act alone, combinations of these polynucleotides also affect fruit and seed growth and development. Useful combinations include different ovule-specific developmentally responsive polynucleotides and/or polynucleotide products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of an ovule-specific developmentally responsive polynucleotide and/or polynucleotide product with an environmentally responsive polynucleotide is also useful because of the interactions that exist between development, hormone-regulated pathways, stress pathways and nutritional pathways. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in a common pathway. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108595). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Ovule genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Ovule Genes Identified by Cluster Analyses of Differential Expression

Ovule Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Ovule genes is any group in the MA_dust that comprises a cDNA ID that also appears in Expt ID 108595 of the MA_diff table(s).

Ovule Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Ovule genes. A group in the MA_clust is considered a Ovule pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Ovule Genes Identified by Amino Acid Sequence Similarity

Ovule genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Ovule genes. Groups of Ovule genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Ovule pathway or network is a group of proteins that also exhibits Ovule functions/utilities.

Such ovule-specific developmentally responsive polynucleotides and polynucleotide products can function to either increase or dampen the above phenotypes or activities either in response to transcript changes during ovule development or in the absence of ovule-specific polynucleotide fluctuations. More specifically, ovule-specific developmentally responsive polynucleotides and polynucleotide products are useful to or modulate one or more of the phenotypes, including egg cell, maturation (for development of parthenogenic embryos), metabolism, polar nuclei, fusion (for development of parthenogenic endosperm), central cell, maturation, metabolism (for alteration of endosperm metabolism), synergids, maturation, programmed cell death, nucellus, maturation, integuments, maturation, funiculus, extension (for increased seed), cuticle, maturation, tensile properties (for increased seed size), ovule, modulation of ovule senescence, and shaping (for increased seed number).

To produce the desired phenotype(s) above, one or more of the ovule-specific developmentally responsive polynucleotides and polynucleotide products can be tested by screening for the desired trait. Specifically, the polynucleotide, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Weigel et al. (2000, Plant Physiol 122: 1003-14) and Winkler et al. (1998, Plant Physiol 118: 743-50).

Alternatively, the activities of one or more of the ovule-specific developmentally responsive polynucleotides and polynucleotide products can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
GENERAL	METABOLIC ACTIVITIES
CATEGORY	AND/OR PATHWAYS	ASSAY
Cell Growth and	Programmed Cell Death	Pennell and Lamb
Differentiation		(1997) Plant Cell 9,
		1157-1168
	DNA Methylation and	Adams et al. (2000)
	Imprinting	Development 127:
		2493-502
Organ Growth and	Ovule Growth and	De Martinis and
Development	Development	Mariani (1999)
	Ethylene Response	Plant Cell 11:
	Megagametophyte	1061-72
	Development	Christensen et al.
	Seed Growth and	(1997) Sexual Plant
	Development	Reproduc 10: 49-64
	Fertilization	Scott et al. (1998)
	Independent	Development 125:
	Seed Development	3329-41
		Ohad et al. (1996)
		PNAS USA 93:
		5319-24
		Chaudhury et al.
		(1997) PNAS USA
		94: 4223-28
Signal Transduction	Ethylene Metabolism	DeMartinis and
	Protein Remodeling	Mariani (1999)
	Sucrose Mobilization	Plant Cell 11:
	and	1061-1072
	Partitioning	Winkler et al.
	Pollen Tube Adhesion	(1998) Plant
	Jasmonic Acid	Physiol 118:
	Biosynthesis	743-750
Senescence and Cell	Apomixis
Death
Environmental	Wound and Defense	Epple and
Responses	Response Gene	Bohlmann (1997)
	Expression	Plant Cell 9: 509-20
		He et al. (1998)
		Plant J. 14: 55-63
	Stress Response

Other biological activities that can be modulated by the ovule-specific developmentally responsive polynucleotides and polynucleotide products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table section.

Ovule-specific developmentally responsive polynucleotides are characteristically differentially transcribed in response to fluctuating developmental-specific polynucleotide levels or concentrations, whether internal or external to a cell. The MA_diff Table reports the changes in transcript levels of various ovule-specific developmentally responsive polynucleotides in ovules.

These data can be used to identify a number of types of ovule-specific developmentally responsive polynucleotides. Profiles of these different ovule-specific developmentally responsive polynucleotides are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
TRANSCRIPTS		PHYSIOLOGICAL	BIOCHEMICAL
AFFECTED BY	TYPES OF GENES	CONSEQUENCES	ACTIVITY
Ethylene Signals	Responders to	Ethylene Perception	Transcription
	Ethylene	Ethylene Uptake	Factors
		Modulation of Ethylene	Transporters
		Response Transduction
		Pathways
		Specific Gene
		Transcription Initiation
Protein		Repression of Pathways	Inhibit Transport of
Remodeling		to Optimize Abscissic	Abscissic acid
		acid Response Pathways	Degradation
Lower at 1 hours	High Abscissic acid		Abscissic acid
than 6 hours	Responders		Metabolic Pathways
	Repressor of Abscissic	Negative Regulation of
	acid Deprivation	Abscissic acid Pathways
	Pathways

Use of Promoters of Ovule Genes

Promoters of Ovule genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Ovule genes where the desired sequence is operably linked to a promoter of a Ovule gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.A.8. Seed and Fruit Development Genes, Gene Components and Products

The ovule is the primary female sexual reproductive organ of flowering plants. At maturity it contains the egg cell and one large central cell containing two polar nuclei encased by two integuments that, after fertilization, develops into the embryo, endosperm, and seed coat of the mature seed, respectively. As the ovule develops into the seed, the ovary matures into the fruit or silique. As such, seed and fruit development requires the orchestrated transcription of numerous polynucleotides, some of which are ubiquitous, others that are embryo-specific and still others that are expressed only in the endosperm, seed coat, or fruit. Such genes are termed fruit development responsive genes.

Changes in the concentration of fruit-development responsive polynucleotides during development results in the modulation of many polynucleotides and polynucleotide products. Examples of such fruit development responsive polynucleotides and polynucleotide products relative to leaves and floral stem are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff, MA_clust, Knock-in and Knock-out tables. The polynucleotides were discovered by isolating fruits at developmental stages from Arabidopsis wild-type ecotype “Wassilewskija”, and measuring the mRNAs expressed in them relative to those in a leaf and floral stem sample. These polynucleotides and/or products are responsible for effects on traits such as seed size, seed yield, seed composition, seed dormancy, fruit ripening, fruit production, and pod shattering.

While fruit development responsive polynucleotides and polynucleotide products can act alone, combinations of these polynucleotides also affect fruit and seed growth and development. Useful combinations include different polynucleotides and/or polynucleotide products that have similar transcription profiles or similar biological activities, and members of the same or functionally similar biochemical pathways. In particular, modulation of transcription factors and/or signal transduction pathways are likely to be useful for manipulating whole pathways and hence phenotypes. In addition, the combination of ovule-developmentally responsive polynucleotides and/or polynucleotide products with environmentally responsive polynucleotides is also useful because of the interactions that exist between development, hormone-regulated pathways, stress and pathogen induced pathways and nutritional pathways. Here, useful combinations include polynucleotides that may have different transcription profiles, and participate in common or overlapping pathways but combine to produce a specific, phenotypic change.

Such fruit development responsive polynucleotides and polynucleotide products can function to either increase or dampen the above phenotypes or activities either in response to transcript changes in fruit development or in the absence of fruit development polynucleotide fluctuations.

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108436, 108437, 108438). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Fruit genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Fruit Genes Identified by Cluster Analyses of Differential Expression

Fruit Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Fruit genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108436, 108437, 108438 of the MA_diff table(s).

Fruit Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Fruit genes. A group in the MA_clust is considered a Fruit pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Fruit Genes Identified by Amino Acid Sequence Similarity

Fruit genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Fruit genes. Groups of Fruit genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Fruit pathway or network is a group of proteins that also exhibits Fruit functions/utilities.

Use of Fruit Development Responsive Genes to Modulate Phenotypes

Manipulation of the polynucleotides in the mature ovule, developing embryo, endosperm, seed coat and fruit enables many features of seed and fruit to be improved including the following:

• • Female fertility, megasporogenesis, embryo and endosperm development, ovule size, endosperm size, embryo size, seed size, seed yield, seed protein, seed oil, seed starch, seed cell number, cell size, seed coat development, organ size, dormancy and acquisition of desiccation tolerance, seed storage and longevity, seed germination, apomixis, production of seedless fruit and vegetables and hybrid seed production.

To improve any of the phenotype(s) above, activities of one or more of the fruit development responsive polynucleotides and polynucleotide products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the polynucleotide, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and visually inspected for the desired phenotype or metabolically and/or functionally assayed.

Use of Fruit Development Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the fruit-expressed polynucleotides and polynucleotide products can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological changes can be achieved and measured according to citations such as the following:

• 1. Winkler et al. (1998). Plant Physiol. 118, 743-750
• 2. Weigel et al. (2000). Plant Physiol. 122, 1003-1014
• 3. Cosgrove (1997). Plant Cell 9, 1031-1041
• 4. Jacobs (1997). Plant Cell 9, 1021-1029
• 5. Reismeier et al. (1994). EMBO J. 13, 1-7
• 6. Carland et al. (1999). Plant Cell 11, 2123-2138
• 7. Cheng et al. (1996). Plant Cell 8, 971-983
• 8. Weber et al. (1995). Plant Cell 7, 1835-1846
• 9. Leyser and Furner (1992). Development 116, 397-403
• 10. Hayashi et al. (1998). Plant Cell 10, 183-196.
• 11. Pyke (1999). Plant Cell 11, 549-556
• 12. Lotan et al. (1998). Cell 93, 1195-1205
• 13. Lending and Larkins (1989). Plant Cell 1, 1011-1023
• 14. Hong et al. (1996). Development 122, 2051-2058.
• 15. Fernandez et al. (2000). Science 289, 436-438
• 16. D'Aoust et al. (1999). Plant Cell 11, 2407-2418
• 17. Bewley (1997). Plant Cell 9, 1055-1066
• 18. Heath et al. (1986). Planta 169, 304-312
• 19. Browse et al. (1986). Anal. Biochem. 152, 141-145
• 20. D'Aoust et al. (1999). Plant Cell 11, 2407-2418

Other biological activities that can be modulated by the fruit-specific developmentally responsive polynucleotides and polynucleotide products are listed in Reference Tables. Assays for detecting such biological activities are described in the table as well as in the Protein Domain tables.

	BIOLOGICAL
	FUNCTION	UTILITY	CITATION	ASSAY	CITATION
Ovule Growth,	Ethylene and	Manipulate	De Martinis	Analyze	Winkler et al.
Ovule	ethylene	female	and Mariani	ovule and	(1998). Plant
Development	signal	fertility.	(1999). Plant	seed	Physiol. 118,
and Seed	transduction	Manipulate	Cell 11, 1061-1072.	development	743-750.
Growth and	pathway	megasporo-	Silencing	by light	Systematic
Development	Examples:	genesis.	gene	microscopy	reverse
	AP2 domain	Manipulate	expression of	or by	genetics of
	DNA binding	female	the ethylene-	confocal	transfer-
	proteins;	gametophyte	forming	microscopy.	DNA-tagged
	EREBP, EBF	development.	enzyme results	Test for	lines of
	Example:	Manipulate	in a reversible	fertilization	Arabidopsis.
	Leucine-rich	fertilization	inhibition of	independent	Weigel et al.
	receptor	independent	ovule	endosperm	(2000). Plant
	kinase; ETR-	endosperm	development in	development.	Physiol 122,
	like	development.	transgenic	Test for	1003-1014.
	Example: Raf	Manipulate	tobacco plants.	fertilization	Activation
	kinase; CTR	fertilization	Christensen et	independent	tagging in
		independent	al. (1997).	embryo	Arabidopsis.
		embryo	Sexual Plant	development.	Ohad et al.
		development.	Reproduc. 10,	Test for	(1996). PNAS
		Manipulate	49-64.	fertilization	USA 93,
		fertilization	Megagametogenesis	independent	5319-5324. A
		independent	in	seed	mutation that
		seed	Arabidopsis	production.	allows
		development.	wild type and	Analyze seed	endosperm
		Manipulate	the Gf mutant.	size.	development
		ovule size.	Christiansen	Analyze seed	without
		Manipulate	and Drews,	yield.	fertilization
		endosperm	unpublished	Analyze seed	Chaudhury et
		size.		composition.	al. (1997).
		Manipulate		Analyze fruit	PNAS USA
		embryo size.		size.	94, 4223-4228.
		Manipulate			Fertilization-
		seed size.			independent
		Manipulate			seed
		seed yield.			development
		Manipulate			in Arabidopsis
		seed protein.			thaliana
		Manipulate			De Martinis
		seed oil.			and Mariani
		Manipulate			(1999). Plant
		starch			Cell 11, 1061-1072.
		production.			Silencing
		Manipulate			gene
		cell number.			expression of
		Manipulate			the ethylene-
		cell size.			forming
		Produce			enzyme results
		seedless fruit			in a reversible
		and			inhibition of
		vegetables			ovule
		Manipulate			development in
		fruit size.			transgenic
					tobacco plants.
					Christensen et
					al. (1997).
					Sexual Plant
					Reproduc. 10,
					49-64.
					Megagametogenesis
					in
					Arabidopsis
					wild type and
					the Gf mutant.
					Scott et al.
					(1998).
					Development
					125, 3329-3341.
					Parent-
					of-origin
					effects on
					seed
					development
					in
					Arabidopsis
					thaliana
					Heath et al.
					(1986).
					Planta 169,
					304-312.
					Browse et al.
					(1986). Anal.
					Biochem.
					152, 141-145.
					D'Aoust et al.
					(1999). Plant
					Cell 11,
					2407-2418.
	2. Growth	Manipulate	Wilson et al.	Analyze ovule	Winkler et al.
	and	female	(1996). Plant	and seed	(1998). Plant
	developmental	fertility.	Cell 8, 659-671. A	development	Physiol. 118,
	control	Manipulate	dissociation	by light	743-750.
	genes	megasporo-	insertion	microscopy or	Systematic
	—	genesis.	causes a	by confocal	reverse
	Upregulated	Manipulate	semidominant	microscopy.	genetics of
	genes	female	mutation that	Test for	transfer-
	Example:	gametophyte	increases	fertilization	DNA-tagged
	DNA binding	development.	expression of	independent	lines of
	proteins; tiny-	Manipulate	TINY, an	endosperm	Arabidopsis.
	like, AGL1,	fertilization	Arabidopsis	development.	Weigel et al.
	FBP2, AGL9,	independent	gene related to	Test for	(2000). Plant
	AP3, CPC-	endosperm	APETALA2.	fertilization	Physiol 122,
	like myb.	development.	Zhao et al	independent	1003-1014.
	Example:	Manipulate	(1999).	embryo	Activation
	Protein	fertilization	Developmental	development.	tagging in
	kinase;	independent	Genetics 25,	Test for	Arabidopsis.
	ASK1.	embryo	209-223. The	fertilization	Ohad et al.
	Example:	development.	ASK1 gene	independent	(1996). PNAS
	Auxin	Manipulate	regulates	seed	USA 93,
	conjugating	fertilization	development	production.	5319-5324. A
	enzyme;	independent	and interacts	Analyze seed	mutation that
	indole-3-	seed	with the UFO	size.	allows
	acetate beta-	development.	gene to	Analyze seed	endosperm
	glucosyltransferase.	Manipulate	control floral	yield.	development
	Example: S/T	ovule size.	organ identity	Analyze seed	without
	protein	Manipulate	in	composition.	fertilization
	kinase;	endosperm	Arabidopsis.	Analyze fruit	Chaudhury et
	APK1.	size.	Flanagan et	size.	al. (1997).
	Example:	Manipulate	al. (1996).	Analyze	PNAS USA
	Leucine-rich	embryo size.	Plant J. 10,	seedling size.	94, 4223-4228.
	receptor	Manipulate	343-53.	Analyze	Fertilization-
	kinase;	organ size	Specific	seedling	independent
	CLV1, ER,	and number.	expression of	viability.	seed
	BRI, Cf-2-	Manipulate	the AGL1	Screen for	development
	like.	seed size.	MADS-box	changes in	in
	—	Manipulate	gene suggests	shatter time.	Arabidopsis
	Downregulated	seed yield.	regulatory	Screen for	thaliana
	genes	Manipulate	functions in	changes in	De Martinis
	Example:	seedling size	Arabidopsis	germination	and Mariani
	Cyclin-	through seed	gynoecium	frequency.	(1999). Plant
	dependent	size.	and ovule	Screen for	Cell 11, 1061-1072.
	kinase; cdc2.	Manipulate	development.	seed longevity	Silencing
		seedling vigor	Angenent et	and viability.	gene
		through seed	al. (1994).		expression of
		size.	Plant J 1994.		the ethylene-
		Manipulate	5, 33-44. Co-		forming
		seed protein.	suppression of		enzyme results
		Manipulate	the petunia		in a reversible
		seed oil.	homeotic gene		inhibition of
		Manipulate	fbp2 affects		ovule
		starch	the identity of		development in
		production.	the generative		transgenic
		Manipulate	meristem.		tobacco plants.
		integument	AGL9 web		Christensen et
		development.	page.		al. (1997).
		Manipulate	Wada et al.		Sexual Plant
		seedcoat	(1997)		Reproduc. 10,
		development.	Science 277,		49-64.
		Manipulate	1113-6.		Megagametogenesis
		cell size.	Epidermal cell		in
		Manipulate	differentiation		Arabidopsis
		cell number.	in Arabidopsis		wild type and
		Manipulate	determined by		the Gf mutant.
		homeotic	a Myb		Scott et al.
		gene	homolog		(1998).
		expression.	CPC.		Development
		Manipulate	Szerszen et al.		125, 3329-3341.
		organ size.	(1994).		Parent-
		Manipulate	Science 16,		of-origin
		meristem size.	1699-1701.		effects on
		Produce	iaglu, a gene		seed
		seedless fruit	from Zea		development
		and	mays		in
		vegetables	involved in		Arabidopsis
		Manipulate	conjugation of		thaliana.
		fruit size.	growth		Heath et al.
		Manipulate	hormone		(1986).
		time of seed	indole-3-		Planta 169,
		dispersal.	acetic acid.		304-312.
		Manipulate	Ito et al.		Browse et al.
		seed viability	(1997). Plant		(1986). Anal.
		upon storage.	Cell Physiol.		Biochem.
		Manipulate	38, 248-258. A		152, 141-145.
		germination	serine/threonine		D'Aoust et al.
		frequency.	protein		(1999). Plant
			kinase gene		Cell 11, 2407-2418.
			isolated by an
			in vivo
			binding
			procedure
			using the
			Arabidopsis
			floral
			homeotic
			gene product,
			AGAMOUS.
			Clark et al.
			(1997). Cell
			89, 575-585.
			The
			CLAVATA1
			gene encodes
			a putative
			receptor
			kinase that
			controls shoot
			and floral
			meristem size
			in
			Arabidopsis.
			Torii et al.
			(1996). Plant
			Cell 8, 735-746.
			The
			Arabidopsis
			ERECTA
			gene encodes
			a putative
			receptor
			protein kinase
			with
			extracellular
			leucine-rich
			repeats.
			Li and Chory
			(1997). Cell
			90, 929-38. A
			putative
			leucine-rich
			repeat
			receptor
			kinase
			involved in
			brassinosteroid
			signal
			transduction.
	3. Cell	Manipulate	Solomon et al.	Analyze ovule	Winkler et al.
	senescence	female	(1999). Plant	and seed	(1998). Plant
	and cell death	fertility.	Cell 11, 431-444.	development	Physiol. 118,
	Example:	Manipulate	The	by light	743-750.
	Cystatin	seed set.	involvement of	microscopy or	Systematic
	Example:	Manipulate	cysteine	by confocal	reverse
	WIPK	seed yield.	proteases and	microscopy.	genetics of
		Manipulate	protease	Analyze seed	transfer-
		seed size.	inhibitor genes	set.	DNA-tagged
		Manipulate	in the	Analyze seed	lines of
		fruit set.	regulation of	size.	Arabidopsis.
		Promote	programmed	Analyze seed	Weigel et al.
		apomixis.	cell death in	yield.	(2000). Plant
		Produce	plants.	Analyze fruit	Physiol 122,
		Seedless fruit	Zhang et al.	set.	1003-1014.
		and	(2000). Plant J.	Screen for	Activation
		vegetables.	23, 339-347.	fertilization	tagging in
			Multiple levels	independent	Arabidopsis.
			of tobacco	seed	Ohad et al.
			WIPK	development.	(1996). PNAS
			activation		USA 93,
			during the		5319-5324. A
			induction of cell		mutation that
			death by fungal		allows
			elicitins.		endosperm
					development
					without
					fertilization
	4. Protein	Manipulate	Christensen et	Test for	Winkler et al.
	remodeling	female	al. (1997).	altered female	(1998). Plant
	Example:	fertility.	Sexual Plant	fertility, seed	Physiol. 118,
	DNA-J	Manipulate	Reproduc. 10,	set, seed	743-750.
	protein/chaperones	female	49-64.	yield.	Systematic
		gametophyte	Megagametogenesis	Analyze ovule	reverse
		development.	in	development	genetics of
		Promote	Arabidopsis	by light	transfer-
		apomixis.	wild type and	microscopy or	DNA-tagged
		Manipulate	the Gf mutant.	by confocal	lines of
		endosperm	Cory	microscopy.	Arabidopsis.
		development.	Christiansen	Analyze seed	Weigel et al.
		Manipulate	and Gary	size.	(2000). Plant
		embryo	Drews,	Analyze seed	Physiol 122,
		development.	unpublished	yield.	1003-1014.
		Manipulate		Analyze seed	Activation
		seed size.		composition.	tagging in
		Manipulate			Arabidopsis.
		seed yield.			Christensen et
		Manipulate			al. (1997).
		seed protein.			Sexual Plant
		Manipulate			Reproduc. 10,
		seed oil.			49-64.
		Manipulate			Megagametogenesis
		starch.			in
		Produce			Arabidopsis
		seedless fruit			wild type and
		and			the Gf mutant.
		vegetables.			Ohad et al.
					(1996). PNAS
					USA 93,
					5319-5324. A
					mutation that
					allows
					endosperm
					development
					without
					fertilization
					Scott et al.
					(1998).
					Development
					125, 3329-3341.
					Parent-
					of-origin
					effects on
					seed
					development
					in
					Arabidopsis
					thaliana.
					Heath et al.
					(1986).
					Planta 169,
					304-312.
					Browse et al.
					(1986). Anal.
					Biochem.
					152, 141-145.
					D'Aoust et al.
					(1999). Plant
					Cell 11,
					2407-2418.
	5. Sucrose	Manipulate	Mapping of	Analyze ovule	Winkler et al.
	mobilization and	female	tomato genes	and seed	(1998). Plant
	partitioning	fertility.	associated	development	Physiol. 118,
	Example:	Manipulate	with sugar	by light	743-750.
	Invertase	ovule	metabolism.	microscopy or	Systematic
	inhibitor	development.	Tomato	by confocal	reverse
	Example:	Manipulate	Genetics Co-	microscopy.	genetics of
	bZIP	seed	op Report 48,	Determine	transfer-DNA-
	transcription	development.	22-23 (1998)	female	tagged lines of
	factor	Manipulate	Ikeda et al.	fertility.	Arabidopsis.
	(translation of	endosperm	(1999). Plant	Analyze seed	Weigel et al.
	bZIP protein	development.	Physiol 121,	mass.	(2000). Plant
	is inhibited by	Manipulate	813-820.	Analyze seed	Physiol 122,
	sucrose levels	embryo	Sucrose and	yield.	1003-1014.
	greater than	development.	Cytokinin	Analyze seed	Activation
	25 mM)	Manipulate	Modulation of	composition.	tagging in
	Example:	seed size.	WPK4, a	Analyze	Arabidopsis.
	Lipoxygenase	Manipulate	Gene	organ size.	Christensen et
	—	seed yield.	Encoding a	Analyze	al. (1997).
	Downregulated	Manipulate	SNF1-Related	seedling size.	Sexual Plant
	gene	seed protein.	Protein	Analyze	Reproduc. 10,
	Example:	Manipulate	Kinase from	seedling	49-64.
	SNF1-related	seed oil.	Wheat.	viability.	Megagametogenesis
	protein kinase	Manipulate	Rook et al.		in
		starch.	(1998). Plant		Arabidopsis
		Manipulate	J. 15, 253-263.		wild type and
		cell size.	Sucrose-		the Gf mutant.
		Manipulate	specific		Ohad et al.
		cell number.	signaling		(1996). PNAS
		Manipulate	represses		USA 93,
		organ size.	translation of		5319-5324. A
		Manipulate	the		mutation that
		meristem	Arabidopsis		allows
		size.	ATB2 bZIP		endosperm
		Manipulate	transcription		development
		seedling size	factor gene.		without
		through seed	Rook et al.		fertilization
		size.	(1998). Plant		Scott et al.
		Manipulate	Mol Biol		(1998).
		seedling	37, 171-178.		Development
		viability	The light-		125, 3329-3341.
		through seed	regulated		Parent-
		size.	Arabidopsis		of-origin
		Produce	bZIP		effects on
		seedless fruit	transcription		seed
		and	factor gene		development
		vegetables.	ATB2		in
		Translational	encodes a		Arabidopsis
		control of	protein with		thaliana.
		gene	an unusually		6. Heath et al.
		expression in	long leucine		(1986).
		ovule and	zipper		Planta 169,
		seed by	domain.		304-312.
		sucrose.	Bunker et al.		7. Browse et
		Manipulate	(1995). Plant		al. (1986).
		assimilate	Cell 7, 1319-1331.		Anal.
		partitioning in	Sink		Biochem.
		ovule and	limitation		152, 141-145.
		seed	induces the		8. D'Aoust et
		development.	expression of		al. (1999).
			multiple		Plant Cell 11,
			soybean		2407-2418.
			vegetative
			lipoxygenase
			mRNAs while
			the
			endogenous
			jasmonic acid
			level remains
			low.
			Lowry et al.
			(1998). Plant
			Physiol. 116,
			923-933.
			Specific
			soybean
			lipoxygenases
			localize to
			discrete
			subcellular
			compartments
			and their
			mRNAs are
			differentially
			regulated by
			source-sink
			status.
	6. Jasmonic	Targeted	Sanders et al.	Test for	Winkler et al.
	acid	death of cells	(2000). Plant	altered female	(1998). Plant
	biosynthesis	belonging to	Cell 12, 1041-1062.	fertility.	Physiol. 118,
	and	the female	The	Analyze male	743-750.
	signal	gametophyte,	Arabidopsis	fertility.	Systematic
	transduction	ovule or	DELAYED	Screen for	reverse
	pathway	integuments.	DEHISCENCE1	enhanced	genetics of
	Example:	Delay	gene	expression of	transfer-
	Biosynthetic	senescence of	encodes an	pathogen	DNA-tagged
	enzyme;	unfertilized	enzyme in the	defense	lines of
	FMN	female	jasmonic acid	response	Arabidopsis
	oxidoreductase	gametophyte,	synthesis	genes.	Weigel et al.
	12-	ovule or	pathway.		(2000). Plant
	oxophyto-	integuments.	Vijayan et al.		Physiol 122,
	dienoate	Manipulate	(1998). A role		1003-1014.
	reductase,	female	for jasmonate		Activation
	OPR1, OPR1-	fertility	in pathogen		tagging in
	like.	Coordinate	defense of		Arabidopsis.
	Example:	female with	Arabidopsis.
	Signal	male	PNAS USA
	transduction	reproduction.	95, 7209-7214.
	pathway	Manipulate	Seo et al.
	kinase WIPK.	male fertility.	(1999). Plant
		Enhanced	Cell 11, 289-298.
		defense	Jasmonate-
		response in	based wound
		ovules and	signal
		seed	transduction
			requires
			activation of
			WIPK, a
			tobacco
			mitogen-
			activated
			protein
			kinase.
Environmental	1. Wound and	Pathogen	Song et al.	Resistance to	Winkler et al.
responses	defense	resistant	(1995).	Xanthamonas	(1998). Plant
	response gene	ovules.	Science 270,	sp.	Physiol. 118,
	expression	Pathogen	1804-1806. A	Resistance to	743-750.
	Example:	resistant	receptor	known	Systematic
	Leucine rich	seeds.	kinase-like	arabidopsis	reverse
	receptor S/T	Pathogen	protein	pathogens in	genetics of
	kinase; Xa21-	resistant fruit.	encoded by the	ovules, seed	transfer-DNA-
	like and		rice disease	and fruit.	tagged lines of
	TMK-like.		resistance		Arabidopsis.
	Example:		gene, Xa21.		Weigel et al.
	Cell wall-		Seo et al.		(2000). Plant
	associated		(1995). Science		Physiol 122,
	protein kinase		270, 1988-1992.		1003-1014.
	WAK1.		Tobacco		Activation
	Example:		MAP kinase: a		tagging in
	Thionins.		possible		Arabidopsis.
			mediator in		Epple and
			wound signal		Bohlmann
			transduction		(1997). Plant
			pathways.		Cell 9, 509-520.
			He et al.		Overexpression
			(1998). Plant J.		of an
			14, 55-63.		endogenous
			Requirement		thionin
			for the induced		enhances
			expression of a		resistance of
			cell wall		Arabidopsis
			associated		against
			receptor kinase		Fusarium
			for survival		oxysporum.
			during the		He et al.
			pathogen		(1998). Plant
			response.		J. 14, 55-63.
			He et al.		Requirement
			(1999). Plant		for the
			Mol. Biol. 39,		induced
			1189-1196. A		expression of
			cluster of five		a cell wall
			cell wall-		associated
			associated		receptor
			receptor kinase		kinase for
			genes, Wak1-5,		survival
			are expressed		during the
			in specific		pathogen
			organs of		response.
			Arabidopsis.
			Epple and
			Bohlmann
			(1997). Plant
			Cell 9, 509-520.
			Overexpression
			of an
			endogenous
			thionin
			enhances
			resistance of
			Arabidopsis
			against
			Fusarium
			oxysporum.
			Ichimura et al.
			(1998). DNA
			Res. 5,341-5348.
			Molecular
			cloning and
			characterization
			of three cDNAs
			encoding
			putative
			mitogen-
			activated
			protein kinase
			kinases
			(MAPKKs) in
			Arabidopsis
			thaliana.
	2. Stress	Manipulate	Close, T. J.	Test for	Winkler et al.
	response to	drought	(1996).	enhanced	(1998). Plant
	cold, drought,	resistance.	Physiol. Plant	sensitivity to	Physiol. 118,
	salinity, seed	Manipulate	97, 795-803.	drought,	743-750.
	maturation,	desiccation	Dehydrins:	dessication,	Systematic
	embryo	tolerance in	emergence of	cold, salinity,	reverse
	development,	flowers,	a biochemical	in ovules,	genetics of
	ABA.	ovules and	role of a	developing	transfer-
	Example:	seeds.	family of	seed and	DNA-tagged
	Dehydrins	Manipulate	plant	seedlings.	lines of
	Example:	cold tolerance	dehydration	Test for	Arabidopsis.
	NPK1-like	in flowers,	proteins.	enhanced	Weigel et al.
	protein kinase	ovules, and	Kovtun et al.	tolerance to	(2000). Plant
	Example:	seeds.	(2000). PNAS	drought,	Physiol 122,
	DNA binding	Manipulate	USA 97,	dessication,	1003-1014.
	protein genes:	seed	2940-2945.	cold, salinity,	Activation
	CBF-like,	dormancy.	Functional	in ovules,	tagging in
	DREB2A,	Manipulate	analysis of	developing	Arabidopsis.
	RAP2.1.	germination	oxidative	seed and seed.
		frequency.	stress-	Test for
		Manipulate	activated	changes in
		seed storage	mitogen-	seed viability
		and viability.	activated	upon storage.
			protein kinase	Test for
			cascade in	changes in
			plants.	germination
				frequencies.
	3. Response	Altered	Bender and	Test for	Winkler et al.
	to starvation,	response to	Fink (1998).	enhanced	(1998). Plant
	wounding,	starvation.	A myb	sensitivity to	Physiol. 118,
	and pathogen	Altered	homologue,	starvation,	743-750.
	attack by	response to	ATR1,	wounding,	Systematic
	tryptophan	wounding.	activates	and pathogen	reverse
	synthesis.	Altered	tryptophan	attack.	genetics of
	Example:	response to	gene	Test for	transfer-
	DNA binding	pathogen	expression in	enhanced	DNA-tagged
	protein;	attack.	Arabidopsis.	tolerance to	lines of
	ATR1-like		PNAS USA	starvation,	Arabidopsis.
	myb.		95, 5655-5660.	wounding,	Weigel et al.
	Example:			and pathogen	(2000). Plant
	Auxin			attack.	Physiol 122,
	conjugating				1003-1014.
	enzyme;				Activation
	indole-3-				tagging in
	acetate beta-				Arabidopsis.
	glucosyltransferase.
Cell	Stearoyl-acyl	Production of	Merlo et al.	Analyze seed	Winkler et al.
metabolism	carrier	oils high in	(1998). Plant	size.	(1998). Plant
	protein	saturated fatty	Cell 10, 1603-1621.	Analyze seed	Physiol. 118,
	desaturase	acids		yield.	743-750.
	Example:	Manipulate		Analyze seed	Systematic
	C18 fatty acid	membrance		composition.	reverse
	desaturation	composition		Analyze seed	genetics of
				oil by gas	transfer-
				chromatography.	DNA-tagged
					lines of
					Arabidopsis.
					Weigel et al.
					(2000). Plant
					Physiol 122,
					1003-1014.
					Activation
					tagging in
					Arabidopsis.
					Browse et al.
					(1986). Anal.
					Biochem.
					152, 141-145.
	2. Manipulate	Manipulate	Mathews and	Analyze seed	Winkler et al.
	nitrogen	asparagine	Van Holde	size.	(1998). Plant
	economy	degradation in		Analyze seed	Physiol. 118,
	Example:	ovules and		yield.	743-750.
	Asparaginase	seeds.		Analyze seed	Systematic
		Manipulate		composition.	reverse
		endosperm			genetics of
		production.			transfer-
		Manipulate			DNA-tagged
		embryo			lines of
		development.			Arabidopsis.
		Manipulate			Weigel et al.
		ovule size.			(2000). Plant
		Manipulate			Physiol 122,
		seed size.			1003-1014.
					Activation
					tagging in
					Arabidopsis.
					Heath et al.
					(1986).
					Planta 169,
					304-312.
					Browse et al.
					(1986). Anal.
					Biochem.
					152, 141-145.
					D'Aoust et al.
					(1999). Plant
					Cell 11,
					2407-2418.

Fruit development responsive polynucleotides are characteristically differentially transcribed in response to fluctuating developmental-specific polynucleotide levels or other signals, whether internal or external to a cell. MA_diff reports the changes in transcript levels of various fruit development responsive polynucleotides in fruits.

These data can be used to identify a number of types of fruit development responsive polynucleotides. Profiles of some of these different fruit development responsive polynucleotides are shown in the table below with examples of the kinds of associated biological activities. Because development is a continuous process and many cell types are being examined together, the expression profiles of genes overlap between stages of development in the chart below.

			Examples of
	Developmental		Biochemical
Transcript Levels	Process	Metabolic Pathways	Activity
(0-5 mm) >> (5-10 mm) ≅	Ovule Elongation	Hormone Production,	Transcription
(>10 mm)	Tissue Specialization	Transport, Perception,	Factors
(0-5 mm) >> (5-10 mm) >	Vascular system	Signalling, Response (e.g.,	Transporters
(>10 mm)	Meristem	Gibberellin, Ethylene, Auxin)	Kinases
(0-5 mm) > (5-10 mm) ≅	Endosperm	Cell wall Biosynthesis	Changes in
(>10 mm)	Seed coat	Lipid Biosynthesis	cytoskeletal
	Fruit	Specific Gene Transcription	protein activity
		Initiation	modulating cell
		Sucrose Mobilization and	structure
		Partitioning	Stability factors
		Sucrose Signaling	for protein
		Lipoxygenase	translation
		Localization	Changes in cell
		Repressors of Metabolic	wall/membrane
		Pathways	structure
		Protein Remodeling	Chromatin
			structure and/or
			DNA topology
			Biosynthetic
			enzymes
(5-10 mm) >> (0-5 mm) >	Tissue Specialization	Cell Wall Biosynthesis	Transcription
(>10 mm)	Vascular System	Specific Gene Transcription	Factors
(5-10 mm) > (0-5 mm) ≅	Organelle	Initiation	Transporters
(>10 mm)	Differentiation	Sucrose Mobilization and	Kinases
(5-10 mm) >> (0-5 mm) ≅	Cotyledon Elongation	Partitioning	Chaperones
(>10 mm)	(cell division)	Sucrose Signaling	Changes in
	Vacuome	Repressors of Metabolic	cytoskeletal
	Development	Pathways	protein activity
	Lipid Deposition	Auxin Perception,	modulating cell
		Response and Signaling	strucure
		Protein Remodeling	Stability of
		Lipid Biosynthesis and	factors for
		Storage	protein
			translation
			Changes in cell
			wall/membrane
			structure
			Chromatin
			structure and/or
			DNA topology
			Biosynthetic
			enzymes
(>10 mm) > (0-5 mm) ≅	Cotyledon Elongation	Cell Elongation	Transcription
(5-10 mm)	(expansion)	Specific Gene Transcription	Factors
	Lipid Deposition	Initiation	Transporters
	Protein Deposition	Sucrose Mobilization and	Kinases
	Desiccation	Partitioning	Chaperones
		Sucrose Signaling	for protein
		Lipoxygenase	translation
		Localization	Changes in cell
		Repressors of metabolic	wall/membrane
		pathways	structure
		Hormone Perception,	Chromatin
		Response and Signaling (e.g.	structure and/or
		abscissic acid)	DNA topology
		Protein Remodeling	Biosynthetic
		Protein synthesis and Storage	enzymes
		Lipid Synthesis and Storage	Metabolic
		Acquisition of Dessication	enzymes
		Tolerance
		Senescence
(0-5 mm) < (5-10 mm) ≅	Ovule Elongation	Cell elongation	Transcription
(>10 mm)	Repressors of	Negative regulation of	Factors
(0-5 mm) << (5-10 mm) ≅	Ethylene	ethylene pathways	Transporters
(>10 mm)	production	Maintenance of Ethylene	Kinases
(0-5 mm) << (5-10 mm) <	Tissue	response	Chaperones
(>10 mm)	specialization	Changes in pathways and	Stability of
(0-5 mm) << (>10 mm) <	Vascular System	processes operation in cells	factors
(5-10 mm)	Meristem		Biosynthetic
	Cotyledon		enzymes
	Seed Coat		Metabolic
			enzymes
(5-10 mm) < (0-5 mm) ≅	Organelle	Negative regulation of	Transcription
(>10 mm)	differentiation	hormone pathways	Factors
	Cotyledon elongation	Maintenance of hormone	Transporters
	(division)	response	Kinases
	Vacuome	Changes in pathways and	Chaperones
	development	processes operation in cells
	Lipid development	Dehydration and acquisition of
	Desiccation	desiccation tolerance
		Senescence
(>10 mm) < (0-5 mm) ≅	Cotyledon Elongation	Cell elongation	Transcription
(5-10 mm)	(expansion)	Negative regulation of	Factors
	Lipid deposition	hormone pathways	Transporters
	Protein deposition	Maintenance of hormone	Kinases
	Desiccation	response	Chaperones
		Changes in pathways and	Metabolic
		processes operation in cells	enzymes
		Dehydration and acquisition of	Biosynthetic
		desiccation tolerance	enzymes
		Senescence
(0-5 mm) ≅ (5-10 mm) ≅	All stages	Ribosome/polysome	Transcription
(>10 mm)		production and maintenance	Factors
		Housekeeping genes	Transporters
			Kinases
			Chaperones

III.B. Development Genes, Gene Components and Products

III.B.1. Imbibition and Germination Responsive Genes, Gene Components and Products

Seeds are a vital component of the world's diet. Cereal grains alone, which comprise ˜90% of all cultivated seeds, contribute up to half of the global per capita energy intake. The primary organ system for seed production in flowering plants is the ovule. At maturity, the ovule consists of a haploid female gametophyte or embryo sac surrounded by several layers of maternal tissue including the nucleus and the integuments. The embryo sac typically contains seven cells including the egg cell, two synergids, a large central cell containing two polar nuclei, and three antipodal cells. That pollination results in the fertilization of both egg and central cell. The fertilized egg develops into the embryo. The fertilized central cell develops into the endosperm. And the integuments mature into the seed coat. As the ovule develops into the seed, the ovary matures into the fruit or silique. Late in development, the developing seed ends a period of extensive biosynthetic and cellular activity and begins to desiccate to complete its development and enter a dormant, metabolically quiescent state. Seed dormancy is generally an undesirable characteristic in agricultural crops, where rapid germination and growth are required. However, some degree of dormancy is advantageous, at least during seed development. This is particularly true for cereal crops because it prevents germination of grains while still on the ear of the parent plant (preharvest sprouting), a phenomenon that results in major losses to the agricultural industry. Extensive domestication and breeding of crop species have ostensibly reduced the level of dormancy mechanisms present in the seeds of their wild ancestors, although under some adverse environmental conditions, dormancy may reappear. By contrast, weed seeds frequently mature with inherent dormancy mechanisms that allow some seeds to persist in the soil for many years before completing germination.

Germination commences with imbibition, the uptake of water by the dry seed, and the activation of the quiescent embryo and endosperm. The result is a burst of intense metabolic activity. At the cellular level, the genome is transformed from an inactive state to one of intense transcriptional activity. Stored lipids, carbohydrates and proteins are catabolized fueling seedling growth and development. DNA and organelles are repaired, replicated and begin functioning. Cell expansion and cell division are triggered. The shoot and root apical meristem are activated and begin growth and organogenesis. Schematic 4 summarizes some of the metabolic and cellular processes that occur during imbibition. Germination is complete when a part of the embryo, the radicle, extends to penetrate the structures that surround it. In Arabidopsis, seed germination takes place within twenty-four (24) hours after imbibition. As such, germination requires the rapid and orchestrated transcription of numerous polynucleotides. Germination is followed by expansion of the hypocotyl and opening of the cotyledons. Meristem development continues to promote root growth and shoot growth, which is followed by early leaf formation.

Genes with activities relevant to imbibition-germination and early seedling growth are described in the two sections A and B below.

III.B.1.a. Identification of Imbibition and Germination Genes

Imbibition and germination includes those events that commence with the uptake of water by the quiescent dry seed and terminate with the expansion and elongation of the shoots and roots. The germination period exists from imbibition to when part of the embryo, usually the radicle, extends to penetrate the seed coat that surrounds it. Imbibition and germination genes identified herein are defined as genes, gene components and products capable of modulating one or more processes of imbibition and germination described above. They are useful to modulate many plant traits from early vigor to yield to stress tolerance. Examples of such germination genes and gene products are shown in the Reference and Sequence Tables. The functions of many of the genes were deduced from comparisons with known proteins and are also given in the REF Tables.

Imbibition and Germination Genes Identified by Phenotypic Observations

Imbibition and germination genes are active, potentially active or more active during growth and development of a dry seed into a seedling. These genes herein were discovered and characterized from a much larger set of genes in experiments designed to find genes that cause poor germination.

In these experiments, imbibition and germination genes were identified by either 1) ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The seeds were then imbibed and cultivated under standardized conditions and any phenotypic differences in the modified plants compared with the parental “wild-type” seedlings were recorded. The genes causing the changes were deduced from the cDNA inserted or gene mutated. The phenotypic differences observed were poor germination and aberrant seedlings.

Imbibition and Germination Genes Identified by Differential Expression

Germination genes were also identified by measuring the relative levels of mRNA products of genes in different stages of germination of a seed versus the plant as a whole. Specifically, mRNA was isolated from whole imbibed seeds of Arabidopsis plants 1, 2, 3 or 4 days after imbibition and compared to mRNA isolated from dry seed-utilizing microarray procedures. The MA_diff Table reports the transcript levels of the experiment. For transcript levels that were higher in the imbibed seed than in dry seed a “+” is shown. A “−” is shown when the transcript levels in dry seed were greater than those in imbibed seed. For more experimental detail, see the examples below:

Germination associated genes can be identified by comparing expression profiles of imbibed gibberellin treated and untreated gal mutant seed. Germination associated genes can also be identified by comparing expression profiles in late maturation seed from wild-type and mutants that are defective for the establishment of dormancy and can germinate precociously (e.g. aba1, aba2, abi4 in arabidopsis and vp1, vp5 in maize) or are defective for the specification of cotyledon identity and dessication tolerance (e.g. lec1, lec2, and fus3).

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108461, 108462, 108463, 108464, 108528, 108529, 108530, 108531, 108545, 108546, 108547, 108518, 108529, 108543, 108544). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Imbibed & Germinating Seeds genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Imbibed & Germinating Seeds Genes Identified by Cluster Analyses of Differential Expression

Imbibed & Germinating Seeds Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Imbibed & Germinating Seeds genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108461, 108462, 108463, 108464, 108528, 108529, 108530, 108531, 108545, 108546, 108547, 108518, 108529, 108543, 108544 of the MA_diff table(s).

Imbibed & Germinating Seeds Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Imbibed & Germinating Seeds genes. A group in the MA_clust is considered a Imbibed & Germinating Seeds pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Imbibed & Germinating Seeds Genes Identified by Amino Acid Sequence Similarity

Imbibed & Germinating Seeds genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Imbibed & Germinating Seeds genes. Groups of Imbibed & Germinating Seeds genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Imbibed & Germinating Seeds pathway or network is a group of proteins that also exhibits Imbibed & Germinating Seeds functions/utilities.

III.B.1.b. Use of Imbibition and Germination Genes, Gene Components and Products to Modulate Phenotypes

Imbibition and germination genes and gene products can be divided into those that act during primary events, secondary events, and/or termination. The genes and gene products of the instant invention are useful to modulate any one or more of the phenotypes described below:

I. Primary Events

• • A. Dormancy

Imbibition and germination genes and gene products of the invention can act to modulate different types of dormancy including:

• • 1. Primary dormancy—dormancy is established during seed development
  • 2. Seed coat-imposed dormancy—dormancy is imposed by blocking water uptake, mechanical restraint of embryo, blocking the exit of inhibitors
  • 3. Embryo dormancy—cotyledon mediated inhibition of embryonic axis growth
  • 4. Secondary dormancy—dormancy is induced when dispersed, mature seeds are exposed to unfavorable conditions for germination (e.g. anoxia, unsuitable temperature or illumination).
  • 5. Hormone-induced

B. Dormancy-Breaking Signal Perception and Transduction

Germination genes and gene products include those that are able to modulate the response to dormancy releasing signals such as fruit ripening and seed development; imbibition; temperature (low and high, range 0-23°); light, particularly for coat imposed dormancy (white light, intermittent illumination, orange and red region of the spectrum (longer than 700 or 730 nm), and phytochrome); coat softening; chemicals (respiratory inhibitors, sulfhydryl compounds, oxidants, nitrogenous compounds, growth regulators—ga, ba, ethylene, and various, ethanol, methylene blue, ethyl ether, fusicoccin); oxygen and carbon dioxide; and stress.

II. Secondary Events

During the secondary events of germination, dormancy-maintaining metabolism is repressed, dormancy-breaking metabolism is induced and structures surrounding the embryo weaken (where present). Germination genes and gene products are useful to modulate processes of the secondary events including water uptake, such as cell expansion and change in osmotic state (ion exchange); and respiration—(oxygen consumption). the genes and genes products of the invention can regulate the following pathways which resume during the first respiratory burst of germination including glycolysis, pentose phosphate, citric acid, and tricarboxylic acid cycle.

A. Mitochondrial Development

Tissues of the mature dry seed contain mitochondria, and although these organelles are poorly differentiated as a consequence of the drying, they contain sufficient Kreb's cycle enzymes and terminal oxidases to provide adequate amount of ATP to support metabolism for several hours after imbibition. During germination of embryos, there appears to be two distinct patterns of mitochondrial development. In starch-storing seeds, repair and activation of preexisting organelles predominate, whereas oil-storing seeds typically produce new mitochondria. Germination genes and gene products of the invention are useful to modulate the repair, activation and biogenesis pathways of mitochondria, including membrane formation and repair, DNA repair and synthesis, protein synthesis, and coordinated regulation of mitochondrial and nuclear genomes

B. Metabolism

In addition to respiration and organelle activity, enzyme activity, DNA repair, RNA synthesis and protein synthesis are fundamental cellular activities intimately involved in the completion of germination and the preparation for subsequent growth. Imbibition and germination genes and gene products of the invention can participate in or modulate these activities, including ABA response, GA response, ATP synthesis and adenylate energy charge during germination, and the synthesis and utilization of reducing power: pyridine nucleotides (NADH and NADPH)

III. Termination

The last stage of seed germination is characterized by the emergence of the radicle or root apex through the seed coat. Typically, the cell walls loosen and the radicle extends from the embryo during late germination. Germination genes and gene products are useful to modulate the mobilization of stored reserves, DNA synthesis and cell division that are typical of this stage of germination.

To regulate any of the phenotype(s) above, activities of one or more of the late germination genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Dolan et al. (1993, Development 119: 71-84), Dolan et al. (1997, Development 124: 1789-98), Crawford and Glass (1998, Trends Plant Science 3: 389-95), Wang et al. (1998, PNAS USA 95: 15134-39), Gaxiola et al. (1998, PNAS USA 95: 4046-50), Apse et al. (1999, Science 285: 1256-58), Fisher and Long (1992, Nature 357: 655-60), Schneider et al. (1998, Genes Devel 12: 2013-21) and Hirsch (1999, Curr Opin Plant Biol. 2: 320-326).

III.B.1.c. Use of Imbibition and Germination Genes, Gene Components and Product to Modulate Biochemical Activities

The roles of the biochemical changes associated with imbibition and germination can be appreciated from a summary of the processes occurring.

Physiology

Water plays an important role throughout the plant life cycle. The most dramatic example of this is in seed germination. Although germination is triggered by water, the germination response is also positively regulated by the plant growth regulators the gibberellins and negatively affected by the growth regulator abscisic acid. Genes that are activated by water and genes that are activated by gibberellins can be identified through expression profiling experiments using arabidopsis mutants defective for gibberellin biosynthesis or perception (gal, gai), abscisic acid biosynthesis or perception (aba1, abi3, and abi4) in the presence or absence of exogenous gibberellins. These genes can be used to promote seedling growth and development and other phases of plant development.

Transcriptional Control of Gene Activity

At the end of seed development, dessication and dormancy have imposed a global state of repression on gene activity throughout the seed. Reactivation of the genome requires water and gibberellins. One function of the genes that are activated early by imbibition is the rapid and dramatic reversal of gene repression. For example, expression-profiling experiments revealed that several thousand genes are hyperactivated in arabidopsis upon imbibition. These include genes involved in metabolic pathways, genes that promote cell growth and division, and transcriptional control genes. Thus one class of genes expressed early in imbibition includes those that promote high levels of gene expression. Other early genes are responsible for regulating specific metabolic, cell, and developmental processes. The strategy for distinguishing these functions was outlined in the Introduction.

Mobilization of Storage Reserves

In contrast to the synthesis and accumulation of reserves during seed development an important function of genes expressed during imbibition and germination is the control of the mobilization and catabolism of seed storage reserves in the endosperm (in grasses and cereals) and the embryo. The mobilization of seed storage reserves is triggered by imbibition and may occur over several days. There are three classes of high molecular weight seed storage reserves: carbohydrates, triacylglycerols, and storage proteins. Upon imbibition seed storage reserves are converted into forms that can be transported and metabolized. Genes encoding enzymes for storage reserve catabolism are expressed shortly after imbibition. Starch for example is converted to sucrose. Triacylglycerols are converted into acetyl-CoA. Storage proteins are converted into amino acids or deaminated to provide carbon skeletons for oxidation.

Carbohydrate Catabolism

Starch is the most common storage carbohydrate in seeds. The primary components of starch are amylose and amylopectin.

Mobilization

There are two pathways for starch catabolism—hydrolytic and phosphorolytic. The product of these pathways is the monosaccharide glucose. Examples of the enzymes responsible for hydrolytic catabolism of starch are: amylase, glucosidase, amylase, dextrinase, isoamylase. The enzyme responsible for phosphorolytic activity is starch phosphorylase.

Transport

The mobilization of starch involves the synthesis of sucrose from glucose, which can then be transported to sites for growth in the root and shoot. In some seeds, maltose may be a major form of transported carbohydrate. The production of sucrose-6-P from glucose involves the following enzymes: UDP-glucose pyrophosphorylase, sucrose-6-P synthetase, and sucrose phosphatase.

Sucrose Catabolism

In target tissues sucrose is hydrolyzed by fructofuransidase (invertase) and/or sucrose synthetase. The synthesis of glucose from glucose-1-P involves sucrose synthetase.

Cell Biology

The lumen of the endoplasmic reticulum (ER) is target for other hydrolase activities including mannosidase, glucosaminidase, acid phosphatase, phosphodiesterase, and phospholipase D.

Triacylglycerol (TAG) Catabolism

Triacylglycerols are the major storage lipids of seeds. The products of TAG catabolism in imbibed and germinating seed are glycerol and free fatty acids. Most of the glycerol is converted to sucrose for export. Free fatty acids are catabolized through oxidation through the glyoxylate cycle and gluconeogenesis.

Mobilization

Hydrolysis of triacylglycerols is by lipases yielding glycerol and free fatty acids. Free fatty acids are oxidized to acetyl-CoA and propionyl-CoA via oxidation requiring ATP and coenzyme A. Catabolism of unsaturated fatty acids also requires cis, trans-isomerases, epimerases, and hydratases. Acetyl-CoA is oxidized through the citric acid cycle to CO2 and H2O. More importantly, acetyl-CoA can be utilized via the glyoxylate cycle and gluconeogenesis for glucose synthesis. Free fatty acids are also broken down via oxidation. Glycerol is converted via phosphorylation and oxidation to DHAP and G3P, which are used to synthesize glucose or oxidized via the citric acid cycle. Examples of other induced enzymes include isocitrate lyase and malate synthetase

Transport

Most of the glycerol, acetyl-CoA, and propionyl-CoA are converted to sucrose for transport. This requires the enzymes glycerol kinase and glycerol phosphate oxidoreductase.

Cell Biology

Glyoxysome biogenesis is required to support fatty acid catabolism and gluconeogenesis. Upon exposure to light there is a loss of glyoxysomes due to their conversion to peroxisomes.

Storage Protein Catabolism

Mobilization

The hydrolysis of storage proteins to amino acids is performed by a diverse group of proteinases and peptidases. The peptidases include endopeptidases, aminopeptidases, and carboxypeptidases. They include the A and B class proteinases. The liberated amino acids are available for protein synthesis, for deamination and reutilization of ammonia via glutamine and asparagine synthesis, and to provide carbon skeletons for respiration. Several enzymes including, deaminase, asparagine synthetase, glutamine synthetase and glutamate dehydrogenase are important players in the mobilization and utilization of stored nitrogen in imbibed seed.

Transport

The major transported form of amino acid in germinated seeds is asparagine. In some species glutamine and/or homoserine are the major form of transported amino acid. Aspartate, glutamate, alanine, glycine, and serine can be converted to sucrose and transported as sucrose. Other amino acids are transported unchanged.

Cell Biology

Proteinases are sequestered in lumen of endoplasmic reticulum (ER) which then fuses with protein bodies.

While catabolism is high in the storage tissues of imbibed seed the products of catabolism are transported to sites of growth including the shoot and root apices fueling respiration, biosynthesis, cell division and differentiation.

Development

Imbibition triggers several key processes for seedling development. One is the activation of the shoot and root apical meristems. The shoot apical meristem is responsible for two primary growth activities. One is the production of the protoderm, procambium and ground meristem. The protoderm gives rise to the epidermal system of the plant, the procambium to the primary vascular tissues, and the ground meristem to the ground tissues including the cortex and pith. The second is the production of leaf primordia, which arise on the flanks of the apex. Thus, activation of the shoot apical meristem results in shoot growth and organogenesis.

The root apical meristem, by contrast is responsible for vegetative root development. The first primary growth activity of the root apical meristem is the production of the protoderm, procambium and ground meristem. The second primary growth activity is the production of the cells that give rise to the root cap.

Genes that govern shoot apical meristem activation and development can be identified in arabidopsis by gene profiling experiments comparing gene expression in wild-type imbibed seed and partial loss-of-function stm (shootmeristemless) mutants (see SAM). Genes governing root meristem activity can be identified by gene profiling experiments comparing gene expression in wild-type imbibed seed and rml (rootmeristemless) mutants.

Genes identified in this way are useful to promote or retard meristem growth, modify and strengthen shoot and root development, promote leaf development as described below.

Changes in the concentration of imbibition-germination activated polynucleotides result in the modulation of many other polynucleotides and polynucleotide products. Examples of such activated responsive polynucleotides and polynucleotide products relative to leaves and floral stem and to fruits at different development stages are shown in the Reference and Sequence Tables. These polynucleotides and/or products are responsible fore effects on traits such as seedling growth, seedling viability, and seedling vigor. The polynucleotides were discovered by isolating seeds from Arabidopsis wild-type ecotype “Wassilewskija” imbibed for 24 hours, and measuring the mRNAs expressed in them relative to those in a leaf and floral stem sample and to those in fruits at different developmental stages.

While imbibition-germination activated polynucleotides and polynucleotide products can act alone, combinations of these polynucleotides also affect germination. Useful combinations include different polynucleotides and/or polynucleotide products that have similar transcription profiles or similar biological activities, and members of the same or functionally similar biochemical pathways. In addition, the combination of imbibition germination activated polynucleotides and/or polynucleotide products with environmentally responsive polynucleotides is also useful because of the interactions that exist between development, hormone-regulated pathways, stress and pathogen induced pathways and nutritional pathways. Here, useful combinations include polynucleotides that may have different transcription profiles, and participate in common or overlapping pathways but combine to produce a specific, phenotypic change.

Such imbibition and germination activated polynucleotides and polynucleotide products can function to either increase or dampen the above phenotypes or activities either in response to transcript changes in fruit development or in the absence of fruit-specific polynucleotide fluctuations.

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES
	AND/OR PATHWAYS	CITATIONS INCLUDING
PROCESS	ALTERED	ASSAYS
Growth, Differentiation	Farnesylation Mediated Seed	Pei et al (1998) Science 282:
and Development	Dormancy	287-290; Cutler et al. (1996)
		Science 273: 1239
Metabolic activity	Nitrogen metabolism	Goupil et al (1998) J Exptl
		Botany 49: 1855-62
Metabolic activity	H+ export and membrane	Cerana et al. (1983)
	hyperpolarization
Metabolic activity	Chloroplast functioning	Benkova et al (1999) Plant
		Physil 121: 245-252
Growth, Differentiation	Regulation of Morphogenesis	Riou-Khamlichi et al. (1999)
and development		Science 283: 1541-44
Metabolic activity	Cell Death	Lohman et al. (1994) Physiol
		Plant 92: 322-328
Growth and development	Promotion of cell division	Kakimoto (1996) Science
	Shoot formation in absence of	274: 982-985
	exogenous cytokinin
Metabolic activity	Membrane repair	Heath et al. (1986) Planta 169:
		304-12
		Browse et al. (1986) Anal
		Biochem 152: 141-5
		D'Aoust et al (1999) Plant
		Cell 11: 2407-18
Metabolism	Organic molecule export	Moody et al. (1988)
		Phytochemistry 27: 2857-61
Metabolic activity	Nutrient Uptake	Uozumio et al. (2000) Plant
		Physiol 122: 1249-59
Metabolic activity	Ion export	Uozumi et al. (2000) Plant
		Physiol 122: 1249-59
		Frachisse et al. (2000) Plant J
		21: 361-71
Growth, Differentiation	Division and/or elongation	Zhang and Forde (1998)
and development		Science 279: 407-409.
		Coruzzi et al. U.S. Pat. No.
		5,955,651
Metabolic activity	Regulation of Molecular	Wisniewski et al. (1999)
	chaperones	Physiolgia Plantarum 105:
		600-608
Metabolic activity	Reactivation of Aggregation	Lee and Vierling (2000) Plant
	and Protein Folding	Physiol. 122: 189-197
Metabolic activity	Maintenance of Native	Queitsch et al. (2000) The
	Conformation (cytosolic proteins)	Plant Cell 12: 479-92
Metabolic activity	Regulation of Translational	Wells et al. (1998) Genes and
	Efficiency	Development 12: 3236-51
Metabolic activity	DNA Repair	Bewley (1997) Plant Cell 9:
		1055-66
Metabolic activity	Protein Synthesis using stored	Heath et al. (1986) Planta 169:
	or newly synthesized mRNAs	304-12
Metabolic activity	Mitochondrial repair and	MacKenzie and McIntosh
	synthesis	(1999) Plant Cell 11: 571-86
Metabolic activity	Commencement of respiration	Debeaujon et al. (2000) Plant
		Physiol 122: 403-4132
	Water Uptake	Debeaujon et al. (2000) Plant
		Physiol 122: 403-4132

Other biological activities that are modulated by the imbibition-activated polynucleotides and polynucleotide products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Table below as well as in the Domain section of the Reference Table.

III.B.1.d. Use of Imbibition and Germination Genes to Modulate the Transcription Levels of Other Genes

The expression of many genes is “upregulated” or “downregulated” during imbibition and germination because some imbibition and germination genes are integrated into complex networks that regulate transcription of many other genes. Some imbibition and germination genes are therefore useful for regulating other genes and hence complex phenotypes.

Imbibition-activated polynucleotides may also be differentially transcribed in response to fluctuating developmental-specific polynucleotide levels or concentrations, whether internal or external to a cell, at different times during the plant life cycle to promote associated biological activities. These activities are, by necessity, a small subset of the genes involved in the development process. Furthermore, because development is a continuous process with few clear demarcations between stages, the associated metabolic and biochemical pathways overlap. Some of the changes in gene transcription are summarized in the Table below:

		EXAMPLES OF
		BIOCHEMICAL
		REGULATORY
DEVELOPMENTAL	PHYSIOLOGICAL/METABOLIC	ACTIVITIES
PROCESS REGULATED	CONSEQUENCES OF	ASSOCIATED WITH
BY IMBIBITION-	MODIFYING GENE	IMBIBITION AND
GERMINATION GENES	PRODUCT LEVELS	GERMINATION
Tissue Specialization	Lipid Catabolism	Transcription Factors
Cotyledon Expansion	Lipoxygenase	Transporters
Endosperm (???)	Localization	Kinases
Activation of the Shoot	Starch Catabolism	Changes in cytoskeletal
Apical Meristem	Seed Protein Catabolism	protein activity
Activation of the Root	Growth Regulator Production,	modulating cell structure
Apical Meristem	Transport, Perception,	Stability of factors for
Radicle Growth	Signaling, Response (e.g.,	protein translation
Vascular System	Gibberellins, Ethylene,	Changes in cell
Development	Auxin)	wall/membrane structure
	Global Gene Activation	Chromatin structure
	Transcription Initiation	and/or DNA topology
	Sucrose Synthesis and	Biosynthetic enzymes
	Partitioning	Metabolic enzymes
	Sucrose catabolism
	Sucrose Signaling
	Cell Wall Biosynthesis
	Activators of Metabolic
	Pathways
	Protein Remodeling
Organelle Differentiation	Cell Wall Biosynthesis	Transcription Factors
and Development	Membrane Repair and	Transporters
	Synthesis	Kinases
	Specific Gene Transcription	Chaperones
	Initiation	Changes in cytoskeletal
	Sucrose Mobilization and	protein activity
	Partitioning	modulating cell structure
	Sucrose Signaling	Stability of factors for
	Activators of Metabolic	protein translation
	Pathways	Changes in cell
	Auxin Perception,	wall/membrane structure
	Response and Signaling	Chromatin structure
	Protein Remodeling	and/or DNA topology
	Lipid Mobilization,	Biosynthetic enzymes
	Metabolism and Biosynthesis	Metabolic enzymes
	Protein Transport,
	Metabolism, and Biosynthesis
DNA Repair	Cell Division	Transcription Factors
	Cell Cycle Control	Transporters
	DNA Replication	Kinases
	Specific Gene Transcription	Chaperones
	Initiation	for protein translation
	Protein Remodeling	Changes in cell
	Protein Synthesis	wall/membrane structure
	Repressors of Senescence	Chromatin structure
		and/or DNA topology
		Biosynthetic enzymes
Cellular Metabolism	Lipid Catabolism	Transcription Factors
	oxidation	Transporters
	Glyoxylate cycle	Kinases
	Citric acid cycle	Chaperones
	Gluconeogenesis	Translation Initiation
	Sucrose Synthesis and	Factors
	Partitioning	Biosynthetic Enzymes
	Starch Catabolism	Metabolic Enzymes
	Seed Protein Catabolism
	Asparagine Synthesis and
	Transport
	Sucrose catabolism
	Sucrose Signaling
	Ribosome/polysome
	production and maintenance
	Housekeeping genes
	Respiration
	Photosynthesis

Changes in the processes of germination are the result of modulation of the activities of one or more of these many germination genes and gene products. These genes and/or products are responsible for effects on traits such as fast germination, plant vigor and seed yield, especially when plants are growing in the presence of biotic or abiotic stresses or when they are growing in barren conditions or soils depleted of certain minerals.

Germination genes and gene products can act alone or in combination as described in the introduction. Of particular interest are combination of these genes and gene products with those that modulate stress tolerance and/or metabolism. Stress tolerance and metabolism genes and gene products are described in more detail in the sections below.

Use of Promoters of Imbibition and Germination Genes

These promoters can be used to control expression of any polynucleotide, plant or non-plant, in a plant host. Selected promoters when operably linked to a coding sequence can direct synthesis of the protein in specific cell types or to loss of a protein product, for example when the coding sequence is in the antisense configuration. They are thus useful in controlling changes in imbibition and germination phenotypes or enabling novel proteins to be made in germinating seeds.

III.B.2. Early Seedling-Phase Specific Responsive Genes, Gene Components and Products

One of the more active stages of the plant life cycle is a few days after germination is complete, also referred to as the early seedling phase. During this period the plant begins development and growth of the first leaves, roots, and other organs not found in the embryo. Generally this stage begins when germination ends. The first sign that germination has been completed is usually that there is an increase in length and fresh weight of the radicle.

III.B.2.a. Identification of Early Seedling Phase Genes, Gene Components and Products

These genes defined and identified herein are capable of modulating one or more processes of development and growth of many plant organs as described below. These genes and gene products can regulate a number of plant traits to modulate yield. Examples of such early seedling phase genes and gene products are shown in the Reference and Sequence, Knock-in, Knock-out and MA-diff Tables. The functions of the protein of some of these genes are also given in these Tables.

Early Seedling Genes Identified by Phenotypic Observations

Some early seedling genes were discovered and characterized from a much larger set of genes by experiments designed to find genes that cause phenotypic changes in germinating seeds as the transitioned into seedlings.

In these experiments, leaf genes were identified by either (1) ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The plants were then cultivated and one or more of the following leaf phenotypes, which varied from the parental “wild-type”, were observed:

• • Abnormal growth
  • Abnormal cotyledons or root growth
    • Reduced growth
    • Abnormal first leaf
    • Abnormal hypocotyl
    • Abnormal pigmentationThe genes identified by these phenotypes are given in the Knock-in and Knock-out Tables.

Early Seedling Phase Genes Identified by Differential Expression

Such genes are active or potentially active to a greater extent in developing and rapidly growing cells, tissues and organs, as exemplified by development and growth of a seedling 3 or 4 days after planting a seed. These genes herein were also discovered and characterized from a much larger set of genes in experiments designed to find genes. Early seedling phase genes were identified by measuring the relative levels of mRNA products in a seedling 3 or 4 days after planting a seed versus a sterilized seed. Specifically, mRNA was isolated from aerial portion of a seedling 3 or 4 days after planting a seed and compared to mRNA isolated from a sterilized seed utilizing microarray procedures. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Sqn (relating to SMD 7133, SMD 7137)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Early Seedling Phase genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Early Seedling Phase Genes Identified by Cluster Analyses of Differential Expression

Early Seedling Phase Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Early Seedling Phase genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Sqn (relating to SMD 7133, SMD 7137) of the MA_diff table(s).

Early Seedling Phase Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Early Seedling Phase genes. A group in the MA_clust is considered a Early Seedling Phase pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Early Seedling Phase Genes Identified by Amino Acid Sequence Similarity

Early Seedling Phase genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Early Seedling Phase genes. Groups of Early Seedling Phase genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Early Seedling Phase pathway or network is a group of proteins that also exhibits Early Seedling Phase functions/utilities.

Of particular interest are early seedling phase genes that are differentially expressed 3 or 4 days after planting a seed but not differentially expressed germinating seeds and/or mature leaves.

Examples of phenotypes, biochemical activities, and transcription profiles that can be modulated by these genes and gene products are described above and below.

III.B.2.b. Use of Early Seedling Genes, Gene Components and Products to Modulate Phenotypes

Rapid, efficient establishment of a seedling is very important in commercial agriculture and horticulture. It is also vital that resources are approximately partitioned between shoot and root to facilitate adaptive growth. Phototropism and geotropism need to be established. All these require post-germination process to be sustained to ensure that vigorous seedlings are produced. Early seedling phase genes, gene components and products are useful to manipulate these and other processes.

I. Development

The early seedling phase genes, gene components and products of the instant invention are useful to modulate one or more processes of the stages of leaf morphogenesis including: stage 1—organogenesis that gives rise to the leaf primordium; stage 2—delimiting basic morphological domains; and stage 3—a coordinated processes of cell division, expansion, and differentiation. Early seedling phase genes include those genes that terminate as well as initiate leaf development. Modulating any or all of the processes leads to beneficial effects at specific locations.

Gene Sequences Affecting Types of Leaves—Applicants provide with these genes, gene components and gene products the means to modulate one or more of the types of leaves, and stem, including cotyledons and major leaves.

Gene sequences affecting cell properties—These genes, gene components and gene products are useful to modulate changes in cell size, cell division, rate and direction, cell elongation, cell differentiation, xylem and phloem cell numbers, cell wall composition, and all cell types.

Gene Sequences Affecting Leaf Architecture—Modifying leaf architecture is useful to modulate change in overall leaf architecture including veination, such as improvements in photosynthetic efficiency, stress tolerance efficiency of solute and nutrient movement to and from the leaf which are accomplished by increases or decreases in vein placement and number of cells in the vein and shape, such as elongated versus rounded and symmetry (around either abaxial-adaxial (dorsiventral) axis or apical-basal (proximodistal) axis, margin-blade-midrib (lateral) axis).

Genes Sequences Influencing Leaf Responses—Shoot apical meristem cells differentiate to become leaf primordia that eventually develop into leaves. The genes, gene components and gene products of this invention are useful to modulate any one or all of these growth and development processes, by affecting timing and rate or planes of cell divisions for example, in response to the internal plant stimuli and/or programs such as embryogenesis, germination, hormones (like Auxin), phototropism, coordination of leaf growth and development with that of other organs (like roots and stems), and stress-related program.

II. Interaction with the Environment

Successful seedling establishment demands successful interaction with the environment in the soil. Early vegetation genes orchestrate and respond to interactions with the environment. Thus early seedling phase genes are useful for improving interactions between a plant and the environment including pigment accumulation, oxygen gain/loss control, carbon dioxide gain/loss control, water gain/loss control, nutrient transport, light harvesting, chloroplast biogenesis, circadian rhythm control, light/dark adaptation, defense systems against biotic and abiotic stresses, metabolite accumulation, and secondary metabolite production

III. Organizing Tissues for Photosynthesis and Metabolism

Following germination and utilization of seed reserves, plant tissues prepare for photosynthesis and seedling metabolism. Leaf meristems, and root meristems participate in these changes before cell differentiation. Many of the uses for plants depend on the success of leaves as the powerhouses for plant growth, their ability to withstand stresses and their chemical composition. Leaves are organs with many different cell types and structures. Most genes of a plant are active in leaves and therefore leaves have very diverse of pathways and physiological processes. Examples of such pathways and processes that are modulated by early seedling phase genes, gene components and products include photosynthesis, sugar metabolism, starch synthesis, starch degradation, nitrate and ammonia metabolism, amino acid biosynthesis, transport, protein biosynthesis, DNA replication, repair, lipid biosynthesis and breakdown, protein biosynthesis, storage and breakdown, nucleotide transport and metabolism, cell envelope biogenesis, membrane formation, mitochondrial and chloroplast biogenesis, transcription and ma metabolism, vitamin biosynthesis, steroid and terpenoid biosynthesis, devise secondary metabolite synthesis, co-enzyme metabolism, flavonoid biosynthesis and degradation, synthesis of waxes, glyoxylate metabolism, and hormone perception and response pathways.

Use of Plants that are Modified as Described Above

Altering leaf genes or gene products in a plant modifies one or more the following plant traits, to make the plants more useful for specific purposes in agriculture, horticulture and for the production of valuable molecules. The useful plants have at least one of the following characteristics: More seedling vigor; a higher yield of early leaves and their molecular constituents due to different number, size, weight, harvest index, composition including and amounts and types of carbohydrates, proteins, oils, waxes, etc., photosynthetic efficiency, e.g. reduced photorespiration, absorption of water and nutrients to enhance yields, including under stresses such as high light, herbicides, and heat, pathways to accumulate new valuable molecules; more optimal leaf shape and architecture in early seedling-enhancing photosynthesis and enhancing appeal in ornamental species including size, number, or pigment; a better overall plant architecture—enhancing photosynthesis and enhancing appeal in ornamental species; reduced negative effects of high planting density, by altering leaf placement to be more vertical instead of parallel to the ground; for instance better stress tolerance, including drought resistance, by decreasing water loss, and pathogen resistance; better overall yield and vigor—Plant yield of biomass and of constituent molecules and plant vigor are modulated to create benefits by genetically changing the growth rate of seedling, coleoptile elongation, and young leaves.

To change any of the phenotype(s) above, activities of one or more of the early seedling phase genes or gene products are modulated in an organism and the consequence evaluated by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels are altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (Methods. Mol. Biol. 82:259-266 (1998)) with leaf gene constructs and/or screened for variants as in Winkler et al., Plant Physiol. 118: 743-50 (1998) and visually inspected for the desired phenotype and metabolically and/or functionally assayed for altered levels of relevant molecules.

III.B.2.c. Use of Early Seedling Phase Genes, Gene Components and Products to Modulate Biochemical Activities

Seedlings are complex and their structure, function and properties result from the integration of many processes and biochemical activities. Some of these are known from the published literature and some can be deduced from the genes and their products described in this application. Early seedling phase genes, and gene components are used singly or in combination to modify these processes and biochemical activities and hence modify the phenotypic and trait characteristics described above. Examples of the processes and metabolic activities are given in the Table below. The resulting changes are measured according to the citations included in the Table.

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES
	AND/OR	CITATIONS
PROCESS	PATHWAYS	INCLUDING ASSAYS
Metabolism - anabolic	G. Farnesylation	Pei et al., Science 282: 287-290
and catabolic	H. Cell	(1998); Cutler et al., Science 273:
	Wall	1239 (1996)
	Biosynthesis	Goupil et al., J Exptl. Botany
	I. Nitrogen	49: 1855-62 (1998)
	Metabolism	Walch-Liu et al., J Exppt. Botany
	J. Secondary	51, 227-237 (2000)
	Metabolite
	Biosynthesis
	and
	Degradation
Water Conservation And	A. Production of	Allen et al., Plant Cell 11: 1785-1798
Resistance To Drought	polyols	(1999)
And Other Related	B. Regulation of	Li et al., Science 287: 300-303
Stresses	salt	(2000)
	concentration	Burnett et al., J Exptl. Botany 51:
	C. ABA	197-205 (2000)
	response(s)	Raschke, In: Stomatal Function,
		Zeiger et al. Eds., 253-279 (1987)
Transport Anion and	(i) Ca2+	Lacombe et al., Plant Cell 12: 837-51
Cation Fluxes	Accumulation	(2000);
	(a) K+ Fluxes	Wang et al., Plant Physiol.
	(b) Na+ Fluxes	118: 1421-1429 (1998);
	1. Receptor -	Shi et al., Plant Cell 11: 2393-2406
	ligand binding	(1999)
	2. Anion and	Gaymard et al., Cell 94: 647-655
	Cation fluxes	(1998)
		Jonak et al., Proc. Natl. Acad. Sci.
		93: 11274-79 (1996);
		Sheen, Proc. Natl. Acad. Sci. 95:
		975-80 (1998);
		Allen et al., Plant Cell 11: 1785-98
		(1999)
Carbon Fixation	3. Calvin Cycle	Wingler et al., Philo Trans R Soe
	5. Photorespiration	Lond B Biol Sci 355, 1517-1529
	6. Oxygen	(2000);
	evolution	Palecanda et al., Plant Mol Biol
	7. RuBisCO	46, 89-97 (2001);
	4. Chlorophyll	Baker et al., J Exp Bot 52, 615-621
	metabolism	(2001)
	(ii) Chloroplast	Chen et al., Acta Biochim Pol 41,
	Biogenesis	447-457 (1999)
	and	Imlau et al., PlantCell II, 309-322
	Metabolism	(1999)
	5. Fatty Acid and
	Lipid
	Biosynthesis
	(iii) Glyoxylate
	metabolism
	(iv) Sugar
	Transport
	(v) Starch
	Biosynthesis
	and
	Degradation
Hormone Perception and	(vi) Hormone	Tieman et al., Plant J 26, 47-58
Growth	Receptors	(2001)
	and	Hilpert et al., Plant J 26, 435-446
	Downstream	(2001)
	Pathways	Wenzel et al., Plant Phys 124,
	for	813-822 (2000)
	(a) ethylene	Dengler and Kang, Curr Opin
	(b) jasmonic acid	Plant Biol 4, 50-56 (2001)
	(c) brassinosteroid	Tantikanjana et al., Genes Dev 15,
	(d) gibberellin	1577-1580 (2001)
	(e) Auxin
	(f) cytokinin
	Activation Of Specific
	Kinases And
	Phosphatases
See Imbibition, Shoot Apical Meristem, Root and Leaf sections for more details

Other biological activities that are modulated by the leaf genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table, for example.

III.B.2.d. Use of Early Seedling Phase Genes, Gene Components and Products to Modulate Transcription Levels

The expression of many genes is “up regulated” or down regulated” in plants because some genes and their products are integrated into complex networks that regulate transcription of many other genes. Some early seedling phase genes, gene components and products are therefore useful for modifying the transcription of other genes and hence complex phenotypes, as described above. Profiles of leaf gene activities are described in the Table below with associated biological activities. “Up-regulated” profiles are those where the mRNA transcript levels are higher in young seedlings as compared to the sterilized seeds. “Down-regulated” profiles represent higher transcript levels in the plantlet as compared to sterilized seed only.

III.B.3. Size and Stature Genes, Gene Components and Products

Great agronomic value can result from modulating the size of a plant as a whole or of any of its organs. For example, the green revolution came about as a result of creating dwarf wheat plants, which produced a higher seed yield than taller plants because they could withstand higher levels and inputs of fertilizer and water. Size and stature genes elucidated here are capable of modifying the growth of either an organism as a whole or of localized organs or cells. Manipulation of such genes, gene components and products can enhance many traits of economic interest from increased seed and fruit size to increased lodging resistance. Many kinds of genes control the height attained by a plant and the size of the organs. For genes additional to the ones in this section other sections of the Application should be consulted.

III.B.3.a. Identification of Size and Stature Genes, Gene Components and Products

Size and stature genes identified herein are defined as genes, gene components and products capable of modulating one or more processes in growth and development, to produce changes in size of one or more organs. Examples of such stature genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, Knock-in, Knock-out, MA-diff and MA-clust. The biochemical functions of the protein products of many of these genes determined from comparisons with known proteins are also given in the Reference tables.

Size and Stature Genes, Gene Components and Products Identified by Phenotypic Observations

Mutant plants exhibiting increased or decreased stature in comparison to parental wild-type plants were used to identify size and stature genes. In these experiments, size and stature genes were identified by either (1) the ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The plants were then cultivated and stature genes were identified from plants that were smaller than the parental “wild-type”. The phenotypes and gene mutations associated with them are given in Tables Examples of phenotypes, biochemical activities, or transcript profiles that are modulated using these genes are described above and below.

Use of Size and Stature Genes, Gene Components and Products to Modulate Phenotypes

Typically, these genes can cause or regulate cell division, rate and time; and also cell size and shape. Many produce their effects via meristems. These genes can be divided into three classes. One class of genes acts during cytokinesis and/or karyokinesis, such as mitosis and/or meiosis. A second class is involved in cell growth; examples include genes regulating metabolism and nutrient uptake pathways. Another class includes genes that control pathways that regulate or constrain cell division and growth. Examples of these pathways include those specifying hormone biosynthesis, hormone sensing and pathways activated by hormones.

Size and stature genes and gene components are useful to selectively alter the size of organs and stems and so make plants specifically improved for agriculture, horticulture and other industries. There are a huge number of utilities. For example, reductions in height of specific ornamentals, crops and tree species can be beneficial, while increasing height of others may be beneficial.

Increasing the length of the floral stems of cut flowers in some species would be useful, while increasing leaf size in others would be economically attractive. Enhancing the size of specific plant parts, such as seeds, to enhance yields by stimulating hormone (Brassinolide) synthesis specifically in these cells would be beneficial. Another application would be to stimulate early flowering by altering levels of gibberellic acid in specific cells. Changes in organ size and biomass also results in changes in the mass of constituent molecules. This makes the utilities of size and stature genes useful for the production of valuable molecules in parts of plants, for extraction by the chemical and pharmaceutical industries.

Examples of phenotypes that can be modulated by the genes and gene components include cell size, cell shape, cell division, rate and direction, cell elongation, cell differentiation, stomata number, and trichome number. The genes of the invention are useful to regulate the development and growth of roots (primary, lateral, root hairs, root cap, apical meristem, epidermis, cortex, and stele); stem (pholem, xylem, nodes, internodes, and shoot apical meristem); leaves (cauline, rosette, and petioles); flowers (receptacle, sepals, petals, and tepals, including color, shape, size, number, and petal drop, androecium, stamen, anther, pollen, sterility, size, shape, weight, color, filament, gynoecium, carpel, ovary, style, stigma, ovule, size, shape, and number, pedicel and peduncle, flowering time, and fertilization); seeds (placenta, embryo, cotyledon, endosperm, suspensor, and seed coat (testa)); and fruits (pericarp—thickness, texture, exocarp, mesocarp, and endocarp. Traits can be modulated with the genes and gene products of this invention to affect the traits of a plant as a whole include architecture (such as branching, ornamental architecture, shade avoidance, planting density effects, and wind resistance) and vigor (such as increased biomass and drought tolerance).

To regulate any of the phenotype(s) above, activities of one or more of the sizing genes or gene products are modulated in an organism and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (Methods. Mol. Biol. 82:259-266 (1998)) and/or screened for variants as in Winkler et al., (Plant Physiol. 118: 743-50 1998) and visually inspected for the desired phenotype or metabolically and/or functionally assayed.

III.B.3.b. Use of Size and Stature Genes, Gene Components and Products to Modulate Biochemical Activities

Many metabolic and developmental processes can be modulated by size and stature genes and gene components to achieve the phenotypic characteristics exemplified above. Some of these are listed below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth and Development	Gibberellic Acid Biosynthesis	Swain SM, Tseng Ts,
	Gibberellic Acid Receptor and	Olszewski NE. Altered
	Downstream Pathways	expression of spindly affects
		gibberellin response and plant
		development. Plant Physiol
		2001 Jul; 126(3): 1174-85
		Hooley, R. Gibberellins:
		perception, transduction, and
		responses. Plant Mol. Biol.
		1994 26: 1529-1555.
		Hooley, R. Gibberellins:
		perception, transduction, and
		responses. Plant Mol. Biol.
		1994 26: 1529-1555.
		Perata, P, Matsukura, C,
		Vernieri, P, Yamaguchi, J,
		Sugar repression of a
		gibberellin-dependent
		signaling pathway in barley
		embryos. Plant Cell 1997
		9: 2197-2208.
	Brassinolide Biosynthesis	Noguchi T, Fujioka S, Choe S,
	Brassinolide Receptors,	Takatsuto S, Tax FE, Yoshida S,
	Degradation of Brassinolide	Feldmann KA. Biosynthetic
	Pathways affected by	pathways of brassinolide in
	Brassinolide	Arabidopsis. Plant Physiol
		2000 Sep; 124(1): 201-9
		Wang ZY, Seto H, Fujioka S,
		Yoshida S, Chory J. BRI1 is a
		critical component of a
		plasma-membrane receptor for
		plant steroids. Nature 2001
		Mar 15; 410(6826): 380-3
		Neff MM, Nguyen SM,
		Malancharuvil EJ, Fujioka S,
		Noguchi T, Seto H, Tsubuki M,
		Honda T, Takatsuto S,
		Yoshida S, Chory J. BAS1: A
		gene regulating brassinosteroid
		levels and light responsiveness
		in Arabidopsis. Proc Natl Acad
		Sci USA 1999 Dec
		21; 96(26): 15316-23
		Kang JG, Yun J, Kim DH,
		Chung KS, Fujioka S, Kim JI,
		Dae HW, Yoshida S,
		Takatsuto S, Song PS, Park CM.
		Light and brassinosteroid
		signals are integrated via a
		dark-induced small G protein
		in etiolated seedling growth.
		Cell 2001 Jun 1; 105(5): 625-36
	Cytokinin biosynthesis	Mok DW, Mok MC. Cytokinin
	Cytokinin receptor	metabolism and action. Annu
	Degradation of Cytokinin	Rev Plant Physiol Plant Mol
	Pathways affected by Cytokinin	Biol 2001; 52: 89-118
		Schmulling T. CREam of
		cytokinin signalling: receptor
		identified. Trends Plant Sci
		2001 Jul; 6(7): 281-4
		Mok DW, Mok MC. Cytokinin
		metabolism and action. Annu
		Rev Plant Physiol Plant Mol
		Biol 2001; 52: 89-118
		Seyedi M, Selstam E, Timko MP,
		Sundqvist C. The
		cytokinin 2-isopentenyladenine
		causes partial reversion to
		skotomorphogenesis and
		induces formation of
		prolamellar bodies and
		protochlorophyllide657 in the
		lip1 mutant of pea. Physiol
		Plant 2001 Jun; 112(2): 261-272
	Auxin Biosynthesis	Zhao Y, Christensen SK,
	Auxin Receptor	Fankhauser C, Cashman JR,
	Auxin Degradation	Cohen JD, Weigel D, Chory J.
	Pathways affected by Auxins	A role for flavin
	Auxin transport	monooxygenase-like enzymes
		in Auxin biosynthesis. Science
		2001 Jan 12; 291(5502): 306-9
		Abel S, Ballas N, Wong LM,
		Theologis A. DNA elements
		responsive to Auxin. Bioessays
		1996 Aug; 18(8): 647-54
		del Pozo JC, Estelle M.
		Function of the ubiquitin-
		proteosome pathway in Auxin
		response. Trends Plant Sci
		1999 Mar; 4(3): 107-112.
		Rahman A, Amakawa T, Goto N,
		Tsurumi S. Auxin is a
		positive regulator for ethylene-
		mediated response in the
		growth of Arabidopsis roots.
		Plant Cell Physiol 2001 Mar;
		42(3): 301-7
		Zhao Y, Christensen SK,
		Fankhauser C, Cashman JR,
		Cohen JD, Weigel D, Chory J.
		A role for flavin
		monooxygenase-like enzymes
		in Auxin biosynthesis. Science
		2001 Jan 12; 291(5502): 306-9
		Abel S, Ballas N, Wong LM,
		Theologis A. DNA elements
		responsive to Auxin. Bioessays
		1996 Aug; 18(8): 647-54
		del Pozo JC, Estelle M.
		Function of the ubiquitin-
		proteosome pathway in Auxin
		response. Trends Plant Sci
		1999 Mar; 4(3): 107-112.
		Rahman A, Amakawa T, Goto N,
		Tsurumi S. Auxin is a
		positive regulator for ethylene-
		mediated response in the
		growth of Arabidopsis roots.
		Plant Cell Physiol 2001 Mar;
		42(3): 301-7
		Gil P, Dewey E, Friml J, Zhao Y,
		Snowden KC, Putterill J,
		Palme K, Estelle M, Chory J.
		BIG: a calossin-like protein
		required for polar Auxin
		transport in Arabidopsis.
		Genes Dev. 2001 Aug
		1; 15(15): 1985-97
		Estelle M., Polar Auxin
		transport. New support for an
		old model. Plant Cell 1998
		Nov; 10(11): 1775-8
	Cell wall growth	Cosgrove DJ., Loosening of
		plant cell walls by expansins.
		Nature 2000 Sep
		21; 407(6802): 321-6

Other biological activities that are modulated by the stature genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table, for example.

Changes in the size, vigor, or yield of a plant are the result of modulation of the activities of one or more of these many size and stature genes and gene products. While size and stature polynucleotides and gene products can act alone, combinations of these polynucleotides and also with others that also affect growth and development are especially useful.

Use of Promoters of “Size and Stature” Genes

Promoters of “size and stature” genes are useful for controlling the transcription of any desired polynucleotides, both plant and non-plant. They can be discovered from the “size and stature” genes in the Reference Tables, and their patterns of activity from the MA Tables. When operably linked to any polynucleotide encoding a protein, and inserted into a plant, the protein will be synthesized in those cells in which the promoter is active. Many “size and stature” genes will function in meristems, so the promoters will be useful for expressing proteins in meristems. The promoters can be used to cause loss of, as well as synthesis of, specific proteins via antisense and sense suppression approaches.

III.B.4. Shoot-Apical Meristem Genes, Gene Components and Products

New organs, stems, leaves, branches and inflorescences develop from the stem apical meristem (SAM). The growth structure and architecture of the plant therefore depends on the behavior of SAMs. Shoot apical meristems (SAMs) are comprised of a number of morphologically undifferentiated, dividing cells located at the tips of shoots. SAM genes elucidated here are capable of modifying the activity of SAMs and thereby many traits of economic interest from ornamental leaf shape to organ number to responses to plant density.

III.B.4.a. Identification of Sam Genes, Gene Components and Products

SAM genes identified herein are defined as genes, gene components and products capable of modulating one or more processes or functions of SAMs as described below. Regulation of SAM genes and gene products are useful to control many plant traits including architecture, yield and vigor. Examples of such SAM genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, phenotype and MA-diff Tables. The functions of many of the protein products of these genes are also given in the Reference tables.

Sam Genes, Gene Components and Products Identified by Phenotypic Observations

SAM genes were discovered and characterized from a much larger set of genes by experiments designed to find genes that cause phenotypic changes in leaf morphology, such as cotyledon or leaf fusion. In these experiments, SAM genes were identified by either (1) ectopic expression of a cDNA in a plant or (2) mutagenesis of the plant genome. The plants were then cultivated and one or more of the following phenotypes, which varied from the parental “wild-type”, was observed:

I. Cotyledon

• • Fused

II. Leaves

• • Fused
  • Leaf placement on stems

III. Branching

• • Number

IV. Flowers

• • Petals fused
  • Altered bolting
  • Early bolting
  • Late bolting
  • Strong bolting
  • Weak bolting
  • Abnormal branching

For more experimental detail see the Example section below. The genes identified by these results of the phenotypes that are shown in Knock-in and Knock-out Tables.

Sam Genes, Gene Components and Products Identified by Differential Expression

SAM genes were also identified in experiments designed to find genes whose mRNA products are associated specifically or preferentially with SAMs. The concentration of mRNA products in the arabidopsis plant with the SHOOTMERISTEMLESS (STM) gene knocked-out was measured relative to the concentration in the parental, non-mutant plant. The Arabidopsis STM gene is required for embryonic SAM formation. The STM gene encodes a Knotted1 (Kn1) type of homeodomain protein. Homeodomain proteins regulate transcription of many genes in many species and have been shown to play a role in the regulation of translation as well. Seedlings homozygous for recessive loss-of-function alleles germinate with roots, a hypocotyl, and cotyledons, but no SAM is formed. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108478, 108479, 108480, 108481, 108598, 108535, 108536, 108435). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Meristem genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Meristem Genes Identified by Cluster Analyses of Differential Expression

Meristem Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Meristem genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108478, 108479, 108480, 108481, 108598, 108535, 108536, 108435 of the MA_diff table(s).

Meristem Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Meristem genes. A group in the MA_clust is considered a Meristem pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Meristem Genes Identified by Amino Acid Sequence Similarity

Meristem genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Meristem genes. Groups of Meristem genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Meristem pathway or network is a group of proteins that also exhibits Meristem functions/utilities.

Examples of phenotypes, biochemical activities, and transcription profiles that can be modulated by SAM genes and gene products are described above and below.

III.B.4.b. Use of Sam Genes Gene Components and Products to Modulate Phenotypes

With the SAM genes and gene products of the invention, Applicants provide the means to modulate one or more of the following types of SAMs:

1. Embryonic meristem

2. Vegetative lateral SAMs

3. Inflorescence lateral SAMs

4. Floral meristems

5. Adventitious SAM

The SAM genes of the instant invention are useful for modulating one or more processes of SAM structure and/or function including (I) cell size and division; (II) cell differentiation and organ primordia.

I. Cell Size and Division

A. Cell Properties

SAM genes and gene products can be used to modulate changes in cell size, cell division, rate and direction, and cell division symmetry.

A key attribute of the SAM is its capacity for self-renewal. The self-renewing initial cell population resides in the central zone of the SAM. A small number of slowly dividing initial cells (typically 2 to 4 per layer) act as a self-replenishing population, whereas some of their descendants, pushed out onto the flanks of the SAM, differentiate into leaves. Other descendants, displaced below the SAM, differentiate into stem. The immediate descendants of the initial cells divide further, amplifying the cell population before being incorporated into leaf or stem primordia.

The genes and gene components of this invention are useful for modulating any one or all of these cell division processes generally, as in timing and rate, for example. In addition, the polynucleotides and polypeptides of the invention can control the response of these processes to the internal plant programs associated with embryogenesis, hormone responses like cytokinin (inhibitory for root development, see section on cytokinin-responsive genes), coordination of growth and development with that of other plant organs (such as leaves, flowers, seeds, and fruits.

SAM genes can also be used to control the response of these processes to changes in the environment, including heat, cold, drought, high light and nutrition.

B. Sam Cell Patterns and Organization

Although SAMs appear as small regions of morphological undifferentiated dividing cells, a group of morphologically undifferentiated dividing cells does not necessarily constitute a SAM. Rather, evidence indicates that SAMs are highly organized or patterned regions of the plant in which many important events in early organogenesis occur. Thus, the term “SAM” is used to denote a highly organized structure and site of pattern formation. The invention also permits engineering of specific as well as overall features of SAM architecture including zones (central, peripheral, and rib), layers (l1, l2, and l3) and symmetry.

II Cell Differentiation and Organ Primordia

The apical meristem in many species first undergoes a vegetative phase whereby cells set aside from the apex become leaf primordia with an axillary vegetative meristem. Upon floral induction, the apical meristem is converted to an inflorescence meristem. The inflorescence meristem arises in the axils of modified leaves and is indeterminate, producing whorls or rings of floral organ primordia. In species which produce terminal flowers, the apical meristem is determinate and eventually adopts a third identity, that of a floral meristem. Examples of the plant properties that the genes and gene products of the invention can be used to modulate include indeterminacy (inhibiting or increasing differentiation and enhancing plant growth and yield), symmetry (symmetry of organs developed, and symmetry of arrangement of organs, such as leaves, petals, flowers, etc.), leaf fate and timing internode length modulation, such as longer internodes to increase shade avoidance and shorter internodes to favor leaf development), and floral fate and timing of flowering.

Uses of Plants Modified as Described Above Using Sam Genes, Gene Components and Products

Because SAMs determine the architecture of the plant, modified plants will be useful in many agricultural, horticultural, forestry and other industrial sectors. Plants with a different shape, numbers of flowers and seed and fruits will have altered yields of plant parts. For example, plants with more branches can produce more flowers, seed or fruits. Trees without lateral branches will produce long lengths of clean timber. Plants with greater yields of specific plant parts will be useful sources of constituent chemicals. Such plants will have, for example, more prolific leaf development, better optimized stem and shoot development, adventitious shoots, more flowers, seeds, and fruits, enhanced vigor (including growth rate of whole plant, including height, flowering time, etc., seedling, coleoptile elongation, young leaves, flowers, seeds, and fruit. higher yields based on biomass (fresh and dry weight during any time in plant life, including maturation and senescence), number of flowers, seed yield (number, size, weight, harvest index, content and composition, e.g. amino acid, jasmonate, oil, protein and starch) and fruit yield (number, size, weight, harvest index, content and composition, e.g. amino acid, jasmonate, oil, protein and starch).

To regulate any of the phenotype(s) above, activities of one or more of the SAM genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Dolan et al. (1993, Development 119: 71-84), Dolan et al. (1997, Development 124: 1789-98), Crawford and Glass (1998, Trends Plant Science 3: 389-95), Wang et al. (1998, PNAS USA 95: 15134-39), Gaxiola et al. (1998, PNAS USA 95: 4046-50), Apse et al. (1999, Science 285: 1256-58), Fisher and Long (1992, Nature 357: 655-60), Schneider et al. (1998, Genes Devel 12: 2013-21) and Hirsch (1999, Curr Opin Plant Biol. 2: 320-326).

III.B.4.c. Use of Sam Genes and Gene Components to Modulate Biochemical Activities

SAM genes and gene components are useful for modulating biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth, Differentiation	Leaf shape and inflorescence and	Chuck, G. et al., 1996 Plant Cell
And Development	flower morphology systems	8: 1227-1289.
	Activities of SAM	Schneeberger et al., 1998
	transcriptional regulatory	Development 125: 2857-2865.
	proteins.
	Meristem size and organ number	Kayes, J. M. and Clark, S. E.
	determinants	1998 Development 125: 3843-3851.
	Regulated by Receptor Kinases	Jeong, S. et al., 1999 Plant
	Receptor kinase location and	Cell 11: 1925-1934.
	activity.
	Meristem proliferation activities	Tantikanjana, T. Genes and
		Development. Jun. 15, 2001.
		15(12): 1577-1588.
Internode elongation	Hormone signaling pathways	Yamamuro, C. et al., 2000 Plant
		Cell. 12: 1591-1605.
Hormone	Levels of growth hormones	Kusaba, S. et al; 1998 Plant
Perception	including gibberellic acid, Auxin	Physiology 116(2): 471-476.
	and cytokinin.
	Gibberellic acid biosynthesis	Modulation of GA perception
	GA biosynthetic enzyme GA-20	and function can be assayed as
	oxidase is a required step in GA	described in Sakamoto, T. et al.
	biosynthesis. GA-20 oxidase is	2001 Genes and Development
	Regulated by some SAM gene	15: 581-590.
	products.
	Over expression of SAM genes	Sakamoto, T. et al. 2001.
	can lead to reduced internode	Genes and Development 15:
	elongation, reduced cell	581-590.
	elongation and reduced cell
	expansion.
	Cytokinin Receptor activity	Inoue, T. et al., Nature
		409: 1060-1063.
	SAM gene products can affect	Sieberer, T. et al., 2000 Current
	the activity of Auxin dependent	Biology 10: 1595-1598.
	postranscriptional gene protein	del Pozo, J. C.; Estelle, M.
	expression.	PNAS (USA) 1999.
		96(26): 15342-15347.
	SAM gene products can affect	Tantikanjana, T. Genes and
	Auxin Perception/metabolism in	Development. Jun. 15, 2001.
	the meristem to produce useful	15(12): 1577-1588.
	changes in plant architecture.
Leaf senescence	SAM gene products can increase	Ori, N. et al; Plant Cell. June,
	and decrease leaf senescence	1999. 11(6): 1073-1080.
	rate. This can be done by
	modulating cytokinin hormone
	levels.
	Cytokinin effect on cell division	Beemster, Gerrit T. S.; Baskin,
	and expansion.	Tobias I. 2000 Plant Physiology
		124: 1718-1727.
Adventitious shoot	Alter growth hormone status.	Kusaba, S. et al; 1998 Plant
formation		Physiology 116(2): 471-476
	Ectopic expression of SAM	Chuck, G. 1996 Plant Cell 8:
	genes in leaf or other non SAM	1227-1289.
	organs or tissue can produce
	shoots
	Pathways comprising
	isopentenyl transferase (ipt)

Other biological activities that can be modulated by the SAM genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

III.B.4.d. Use of Sam Genes, Gene Components and Products to Modulate Transcription Levels of Other Genes

The expression of many genes is “upregulated” or “downregulated” in the SAM mutants because some of the SAM genes are integrated into complex networks that regulate the transcription of many other genes. Some SAM genes and gene components are therefore useful for modifying the transcription of other genes and hence complex phenotypes as described above. Profiles of genes altered by SAM mutations and genes are described in the Table below with associated biological activities. “Up-regulated” profiles are for genes whose mRNA levels are higher in the stm plants as compared to parental wild-type plants; and vice-versa for “down-regulated” profiles.

		PHYSIOLOGICAL	EXAMPLES OF
	TYPE OF GENES	CONSEQUENCES OF	BIOCHEMICAL
	WHOSE	MODIFYING SAM	ACTIVITIES WHOSE
TRANSCRIPT	TRANSCRIPTS ARE	GENE PRODUCT	TRANSCRIPTS ARE
LEVELS	CHANGED	LEVELS	CHANGED
Up Regulated	Genes repressed by	Altered	Transporters
Transcripts	SAMs directly or	Auxin/cytokinin	Metabolic Enzymes
	indirectly	hormone ratio and	Cell Membrane
		perception.	Structure
		Increased/decreased	Kinases, Phosphatases,
		cell expansion -	G-Proteins
		promoting effects of	Transcription
		brassinosteroids and	Activators/Repressors
		gibberellic acids, due	Transcription
		to altered levels of	coactivators/corepressors
		biosynthetic pathway	Chromatin Structure
		enzymes and or the	And/Or Localized DNA
		amount of functional	Topology Proteins
		hormone receptor.	Cell Wall Proteins
		Increased or	Translational
		decreased rate of cell	activators/repressors
		division.	Cell wall proteins
		Altered planes of cell	involved in cell rigidity
		division	e.g. extensin, glycine
		Increased or	rich proteins.
		decreased rate and	Cell cycle regulatory
		extent of cell	proteins such as cyclins
		expansion.
		Increased or	and cyclin dependent
		decreased rigidity of	protein kinases (CDKs).
		cell ways.
Down-Regulated	Genes involved in SAM	Altered pattern of	Auxin transporter
Transcripts	cells and genes whose	organs immerging	proteins
	expression is induced by	from the meristem	Auxin receptor proteins
	SAMs	Increased or	Cytokinin receptor
		decreased the number	proteins
		of cells partitioned	Gibberellic acid receptor
		into a lateral organ.	proteins
		Altered apical	Brassinolide receptor
		dominance due to	proteins
		suppression of lateral	Hormone biosynthesis
		bud growth.	proteins
		Altered apical	Hormone degradation
		dominance due to	proteins
		releasing of axillary	Hormone conjugation
		meristems from	proteins
		repression.	Ubiquitin conjugating
		Increased/or	enzymes.
		decreased production	Receptor kinase signal
		of adventitious	transduction
		meristems.
		Increased potential to
		form somatic
		embryos.
		Altered cell signaling
		pathways
		Altered hormone
		levels

SAM genes and gene products can be modulated alone or in combination as described in the introduction. Of particular interest are combination of these genes and gene products with those that modulate hormone responsive pathways. Hormone responsive genes and gene products are described in more detail in the sections below.

Use of Sam Gene Promoters to Modify SAMs

Promoters of SAM genes, as described in the Reference tables, for example, can be used to modulate transcription of coding sequences in SAM cells to influence growth, differentiation or patterning of development or any of the phenotypes or biological activities above. For example, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as a SAM gene when the desired sequence is operably linked to the promoter of the SAM gene.

A specific instance is linking of a SAM gene promoter normally active in floral meristem primordia, to a phytotoxic protein coding sequence to inhibit apical meristem switching into an inflorescence and/or floral meristem, thereby preventing flowering.

SAM gene promoters can also be used to induce transcription of antisense RNA copies of a gene or an RNA variant to achieve reduced synthesis of a specific protein in specific SAM cells. This provides an alternative way to the example above, to prevent flowering.

			EXAMPLES OF
		PHYSIOLOGICAL	BIOCHEMICAL
	TYPE OF GENES	CONSEQUENCES	ACTIVITIES OF
	WHOSE	OF MODIFYING	GENE PRODUCTS
TRANSCRIPT	TRANSCRIPTS	GENE PRODUCT	WITH MODIFIED
LEVELS	ARE CHANGED	LEVELS	LEVELS
Up regulated	Genes involved in	Leaf cells	Transcription
Transcripts	leaf, stem and root	proliferate and	factors, signal
	cell differentiation,	differentiate;	transduction
	cell division, cell	Leaf structures	proteins, kinase
	expansion	form and expand	and phosphatases
	Genes involved in		Chromatin
	positive regulation of		remodeling
	root, stem and leaf		Hormone
	genes		biosynthesis
	Repressors of root		enzymes
	and other organ cell		Receptors
	types e.g. flowers
	Genes involved in	Photosynthesis	Light harvesting
	photosynthesis	and plastid	coupled to ATP
		differentiation	production
		Calvin cycle	Chlorophyll
		activated	biosynthesis
		Chloroplast	Ribulose
		biogenesis and	Bisphosphate
		plastid	carboxylase
		differentiation	Chloroplast
		activated	membranes
			synthesis
			Chloroplast
			ribosome
			biogenesis
	Other genes involved	Starch	Starch synthase
	in metabolism	biosynthesis	Nitrate reductase
		Lipid	Terpenoid
		biosynthesis	biosynthesis
		Nitrogen	Transcription
		metabolism -	factors
		NO3 reduced and	Transporters
		amino acids made	Kinases
		Secondary	Phosphatases and
		metabolites	signal
		produced	transduction
			protein
			Chromatin
			structure
			modulators
Down regulated genes	Genes involved in	Leaf genes	Transcription
	negative regulation	activated and leaf	factors
	of root, stem and leaf	functions induced	Signal
	genes	Other organs not	transduction
	Genes involved in	induced	proteins - kinases
	other organs e.g.	Leaf, stem and	and phosphatases
	flowers	root metabolic	Metabolic
		pathways induced	enzymes
			Chromatin
			remodeling
			proteins

While early seedling phase polynucleotides and gene products are used singly, combinations of these polynucleotides are often better to optimize new growth and development patterns. Useful combinations include different leaf polynucleotides and/or gene products with a hormone responsive polynucleotide. These combinations are useful because of the interactions that exist between hormone-regulated pathways, nutritional pathways and development.

Use of Early Seedling Phase Gene Promoters

Promoters of early seedling phase genes are useful for transcription of desired polynucleotides, both plant and non-plant. If the gene is expressed only in the post-germination seedling, or in certain kinds of leaf cells, the promoter is used to drive the synthesis of proteins specifically in those cells. For example, extra copies of carbohydrate transporter cDNAs operably linked to a early seedling phase gene promoter and inserted into a plant increase the “sink” strength of leaves. Similarly, early seedling phase promoters are used to drive transcription of metabolic enzymes that alter the oil, starch, protein, or fiber contents of the seedling. Alternatively, the promoters direct expression of non-plant genes that can, for instance, confer resistance to specific pathogen. Additionally the promoters are used to synthesize an antisense mRNA copy of a gene to inactivate the normal gene expression into protein. The promoters are used to drive synthesis of sense RNAs to inactivate protein production via RNA interference.

III.B.5. Vegetative-Phase Specific Responsive Genes, Gene Components and Products

Often growth and yield are limited by the ability of a plant to tolerate stress conditions, including water loss. To combat such conditions, plant cells deploy a battery of responses that are controlled by a phase shift, from so called juvenile to adult. These changes at distinct times involve, for example, cotyledons and leaves, guard cells in stomata, and biochemical activities involved with sugar and nitrogen metabolism. These responses depend on the functioning of an internal clock, that becomes entrained to plant development, and a series of downstream signaling events leading to transcription-independent and transcription-dependent stress responses. These responses involve changes in gene expression.

Manipulation of the activation of one or more genes controlling the phase changes is useful to modulate the biological processes and/or phenotypes listed below. Phase responsive genes and gene products can act alone or in combination. Useful combinations include phase responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants.

Phase responsive genes and gene products can function to either increase or dampen the above phenotypes or activities. Characterization of phase responsive genes was carried out using microarray technology. Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing about 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in a mutant of Arabidopsis thaliana, squint, that appears not to undergo phase changes and appears adult-like throughout its growth cycle, compared with wild type were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent. Ceres clones identified. The MA_diff tables reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which represent phase responsive genes. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Sqn (relating to SMD 7133, SMD 7137)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Phase responsive genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Phase Responsive Genes Identified by Cluster Analyses of Differential Expression

Phase Responsive Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of phase responsive genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Sqn (relating to SMD 7133, SMD 7137) of the MA_diff table(s).

Phase Responsive Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of phase responsive genes. A group in the MA_clust is considered a phase responsive pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Phase Responsive Genes Identified by Amino Acid Sequence Similarity

Phase responsive genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis phase responsive genes. Groups of phase responsive genes are identified in the Protein Grouping table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a phase responsive pathway or network is a group of proteins that also exhibits Phase responsive functions/utilities.

Further, promoters of phase responsive genes, as described in Reference tables, for example, are useful to modulate transcription that is induced by phase or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the phase responsive genes when the desired sequence is operably linked to a promoter of a phase responsive gene.

III.B.5.a. Use of Phase Responsive Genes to Modulate

PhenotypesPhase responsive genes and gene products are useful to or modulate one or more phenotype including timing phenotypes, dormancy, germination, cotyledon opening, first leaves, juvenile to adult transition, bolting, flowering, pollination, fertilization, seed development, seed set, fruit drop, senescence, epinasty, biomass, fresh and dry weight during any time in plant life, such as maturation, number of flowers, seeds, branches, and/or leaves, seed yield, including number, size, weight, and/or harvest index, fruit yield, including number, size, weight, and/or harvest index, plant development, time to fruit maturity, cell wall strengthening and reinforcement, stress tolerance, drought tolerance, flooding tolerance, and UV tolerance.

To regulate any of the phenotype(s) above, activities of one or more of the phase responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Anderson et al. (1997) Plant Cell 9: 1727-1743; Heintzen et al. (1997) Proc. Natl. Acad. Sci. USA 94: 8515-20; Schaffer et al. (1998) Cell 93:1219-1229; Somers et al. (1998) Development 125: 485-494; Somers et al. (1998) Science 282: 1488-1490; Wang and Tobin (1998) Cell 93: 1207-1217; Zhong et al. (1998) Plant Cell 10: 2005-2017; Sugano et al. (1998) Proc. Natl. Acad. Sci. USA 95: 11020-11025; Dowson-Day and Millar (1999) Plant J 17: 63-71; Green and Tobin (1999) Proc. Natl. Acad. Sci. USA 96: 4176-419; Staiger and Apel (1999) Mol. Gen. Genet. 261: 811-819; Strayer and Kay (1999) Curr. Opin. Plant Biol. 2:114-120; Strayer et. al. (2000) Science 289:768-771; Kreps et al. (2000) J Biol Rhythms (2000) 15:208-217; Nelson et al. (2000) Cell 101:331-340; Somers et al. (2000) Cell 101:319-329.

III.B.5.b. Use of Phase Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the phase responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations above and included in the table below:

	Biochemical Or Metabolic
Process	Activities And/Or Pathways	Citations including assays
Germination And	Cold, Light And Water	Bognar et al. (1999) Proc. Natl. Acad.
Seedling	Modulated Signal Transduction	Sci. USA 96: 14652-14657; Sugano et
Development	Pathways, Receptors, Kinases,	al (1999) Proc. Natl. Acad. Sci. USA
	PAS Domain Proteins	96: 12362-12366; Dowson-Day and
		Millar (1999) Plant J 17: 63-71;
		Somers et al. (2000) Cell 101: 319-329;
		Zhong et al. (1998) Plant Cell
		10: 2005-2017
Growth	Cold And Light Modulated	Nelson et al. (2000) Cell 101: 331-340;
Transitions And	Signal Transduction Pathways,	Fowler et al. (1999) EMBO J.
Flowering	Receptors, Kinases, PAS	18: 4679-4688
	Domain Protiens
Tuber Formation	Cold And Light Modulated	Yanovsky et al. (2000) Plant J. 23:
	Signal Transduction Pathways	223-232
METABOLISM
Lipid Metabolism	Membrane Lipid Synthesis	Bradley and Reddy (1997) J. Bacteriol.
	Including Omega-3 Fatty Acid	179: 4407-4410; Martin, M
	Desaturase, Lipases, Lipid	et al. 1999 Europe J. Biochem 262:
	Transfer Proteins	283-290
Sugar	Glycosylhydrolases,	Liu et al. (1996) Plant Physiol.
Metabolism	Glycosyltransferases,	112: 43-51; Millar and Kay (1996)
	Amylases, Sucrose Synthase,	Proc Natl Acad Sci USA 93: 15491-15496;
	CAB, Rubisco, Light Signal	Wang et al. (1997) Plant Cell
	Transduction	9: 491-507; Shinohara et al (1999) J.
		Biol. Chem. 273: 446-452
Nitrogen	Aminotransferases, Arginase,	Bradley and Reddy (1997) J.
Metabolism	Proteases And Vegetative	Bacteriol. 179: 4407-4410
	Storage Proteins, Aromatic
	Amino Acid Synthesis
Photorespiration	Mitochondrial, Chloroplast And	Zhong and McClung (1996) Mol. Gen.
	Peroxisomal Photorespiratory	Genet. 251: 196-203; McClung (1997)
	Enzymes, Serine	Free. Radic. Biol. Med. 23: 489-496;
	Hydroxymethyl Transferases,	McClung et al. (2000) Plant Physiol.
	Catalase	123: 381-392
Responses To	Expression Of Genes Involved	McClung (1997) Free Radic Biol Med
Environmental	In Responses To Drought, Salt,	23: 489-496; Shi et al. (2000) Proc.
Stress	UV	Natl. Acad. Sci. USA 97: 6896-6901

Other biological activities that can be modulated by the phase responsive genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Phase responsive genes are characteristically differentially transcribed in response to maturity of the cell, organ or tissue which depends on a timing mechanism, which is internal to an organism or cell. The Intensity Table reports the changes in transcript levels of various phase responsive genes in a plant.

The data from this experiment reveal a number of types of phase responsive genes and gene products. Profiles of some classes of phase responsive genes are shown in the table below with examples of which associated biological activities are modulated when the activities of one or more such genes vary in plants.

Transcript		Physiological	Examples Of Biochemical
Levels	Type Of Genes	Consequences	Activity
Up Regulated	Responders To	Adult phase	Metabolic Enzymes
Transcripts	mutation that confers	adoption	Change In Cell
	adult like phase	Metabolisms	Membrane Structure
	Genes induced in	Affected By phase	And Potential
	adult-like phase	change	Kinases And
		Synthesis Of	Phosphatases
		Secondary	Transcription
		Metabolites	Activators
		And/Or Proteins	Change In Chromatin
		Modulation Of	Structure And/Or
		Phase Response	Localized DNA
		Transduction	Topology
		Pathways
		Specific Gene
		Transcription
		Initiation
Down-	Responders To	Negative	Transcription Factors
Regulated	mutation that confers	Regulation of	Change In Protein
Transcripts	adult phase	adult phase	Structure By
	Genes repressed in	pathways	Phosphorylation
	adult-like phase	Changes In	(Kinases) Or
	Genes With	Pathways And	Dephosphoryaltion
	Discontinued	Processes	(Phosphatases)
	Expression Or	Operating In Cells	Change In Chromatin
	Unstable mRNA in	Changes In	Structure And/Or
	adult-like phase	Metabolic	DNA Topology
		pathways other	Stability Factors For
		than phase	Protein Synthesis And
		specific pathways	Degradation
			Metabolic Enzymes

Use of Promoters of Phase Responsive Genes

Promoters of phase responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the phase responsive genes where the desired sequence is operably linked to a promoter of a phase responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.C. Hormone Responsive Genes, Gene Components and Products

III.C.1. Abscissic Acid Responsive Genes, Gene Components and Products

Plant hormones are naturally occurring substances, effective in very small amounts, which act as signals to stimulate or inhibit growth or regulate developmental processes in plants. Abscisic acid (ABA) is a ubiquitous hormone in vascular plants that has been detected in every major organ or living tissue from the root to the apical bud. The major physiological responses affected by ABA are dormancy, stress stomatal closure, water uptake, abscission and senescence. In contrast to Auxins, cytokinins and gibberellins, which are principally growth promoters, ABA primarily acts as an inhibitor of growth and metabolic processes.

Changes in ABA concentration internally or in the surrounding environment in contact with a plant results in modulation of many genes and gene products. Examples of such ABA responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix tables, MA_diff, and MA_clust tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA products changed in concentration in response to application of ABA to plants.

While ABA responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different ABA responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of an ABA responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress and defence induced pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways.

Such ABA responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in ABA concentration or in the absence of ABA fluctuations. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108560, 108561, 108513, 108597). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

ABA genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

ABA Genes Identified by Cluster Analyses of Differential Expression

ABA Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of ABA genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108560, 108561, 108513, 108597 of the MA_diff table(s).

ABA Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of ABA genes. A group in the MA_clust is considered a ABA pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

ABA Genes Identified by Amino Acid Sequence Similarity

ABA genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis ABA genes. Groups of ABA genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a ABA pathway or network is a group of proteins that also exhibits ABA functions/utilities.

Further, promoters of ABA responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by ABA or any of the following phenotypes or biological activities below.

III.C.1.a. Use of Abscissic Acid Responsive Genes to Modulate Phenotypes

ABA responsive genes and gene products are useful to or modulate one or more of the following phenotypes including development such as cell growth (promotion of leaf cell elongation), fruit development (fruit drop and inhibition of parthenocarpy and ovary growth), seed development (maturation of zygotic and somatic embryos, embryo development, seed development and maturation, acquisition of desiccation tolerance, dormancy including control rate and timing of germination, prolongation of seed storage and viability, and inhibition of hydrolytic enzyme synthesis); growth of roots such as inhibition of root elongation under low water potential), stems, buds (such as promotion of dormancy and lateral/axillary bud formation), leaves, and inhibition of aba-induced growth and elongation; biomass (such as fresh and dry weight during any time in plant life, such as maturation), number, size, and weight of flowers and seeds); senescence (including abscission, leaf fall, and flower longevity); differentiation (including plastid/chloroplast differentiation and regulation of sterility); and stress responses (such as mediation of response to desiccation, drought, salt and cold).

To regulate any of the phenotype(s) above, activities of one or more of the ABA responsive genes or gene products can be modulated in an organism and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Koorneef and Karssen (1994, Seed dormancy and germination, In: Arabidopsis, Cold Spring Harbor Lab. Press, pp 314-334), Cramer et al (1998, J. Exptl. Botany 49:191-198), and White and Rivin (2000, Plant Physiol 122: 1089-97). Phillips et al. (1997) EMBO J 16: 4489-96; Nambara et al (1995) Development 121: 629-636; Hays et al (1999) Plant Physiol. 119: 1065-72; Filonova et al (2000) J Exptl Botany 51: 249-64; White et al (2000) Plant Physiol. 122: 1081-88; and Visser et al. (1998) Plant Mol Biol 37: 131-40; Rohde et al. (2000) Plant Cell 12:35-52; and Cramer et al. (1998) J. experimental Botany. 49: 191-198.

III.C.1.b. Use of Abscissic Acid Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the ABA responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES
PROCESS	AND/OR PATHWAYS	CITATIONS INCLUDING ASSAYS
Growth,	Farnesylation	Pei Et Al (1998) Science 282: 287-290;
Differentiation And		Cutler Et Al. (1996) Science
Development		273: 1239
	Nitrogen Metabolism	Goupil Et Al (1998) J Exptl Botany
		49: 1855-62
Water Conservation	Stomatal Development	Allen Et Al. (1999) Plant Cell 11:
And Resistance To	And Physiology	1785-1798
Drought And Other		Li Et Al. 2000 Science 287: 300-303
Related Stresses		Burnett Et Al 2000. J. Exptl Botany
		51: 197-205
		Raschke (1987) In: Stomatal
		Function Zeiger Et Al. Eds., 253-279
	Stress Response Pathways	Bush And Pages (1998) Plant Mol.
		Biol. 37: 425-35
	Inhibition Of Ethylene	Spollen Et Al (2000) Plant Physiol.
	Production Under Low	122: 967-976
	Water Potential
	Proline And Other	Hare Et Al. (1998) Plant, Cell And
	Osmolite Synthesis And	Environment 21: 535-553; Hare Et Al.
	Degradation	(1999) J. Exptl. Botany 50: 413-434
	Plasmalemma And	Macrobbie (1998) Philos Trans R Soc
	Tonoplast Ion Channel	Lond B Biol Sci 353: 1475-88; Li Et
	Changes	Al (2000) Science 287: 300-303;
		Barkla Et Al. (1999) Plant Physiol.
		120: 811-819
	Ca2+ Accumulation	Lacombe Et Al. (2000) Plant Cell 12:
		837-51; Wang Et Al. (1998) Plant
		Physiol 118: 1421-1429; Shi Et Al.
		(1999) Plant Cell 11: 2393-2406
	K+ Efflux	Gaymard Et Al. (1998) Cell 94: 647-655
	Activation Of Kinases	Jonak Et Al. (1996) Proc. Natl. Acad.
	And Phosphatases	Sci 93: 11274-79; Sheen (1998) Proc.
		Natl. Acad. Sci. 95: 975-80; Allen Et
		Al. (1999) Plant Cell 11: 1785-98

Other biological activities that can be modulated by the ABA responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

ABA responsive genes are characteristically differentially transcribed in response to fluctuating ABA levels or concentrations, whether internal or external to an organism or cell. The MA_diff reports the changes in transcript levels of various ABA responsive genes in entire seedlings at 1 and 6 hours after a plant was sprayed with a Hoagland's solution enriched with ABA as compared to seedlings sprayed with Hoagland's solution only.

The data from this time course can be used to identify a number of types of ABA responsive genes and gene products, including “early responders,” and “delayed ABA responders”, “early responder repressors” and “delayed repressors”. Profiles of these different ABA responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
TRANSCRIPT	TYPE OF	PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	GENES	CONSEQUENCES	ACTIVITY
Up Regulated	Early Responders	ABA Perception	Transcription Factors
Transcripts	To ABA	ABA Uptake	Transporters
(Level At 1 Hr ≅6 Hr)			Change In Cell Membrane
or			Structure
(Level At 1 Hr > 6 Hr)		Modulation Of ABA	Kinases And Phosphatases
		Response
		Transduction
		Pathways
		Specific Gene	Transcription Activators
		Transcription	Change In Chromatin
		Initiation	Structure And/Or
			Localized DNA Topology
Up Regulated	Delayed	Maintenance Of	Transcription Factors
Transcripts	Responders	Response To ABA	Specific Factors (Initiation
(Level At 1 Hr < 6 Hr)		Maintenance Of Seed	And Elongation) For
		Dormancy, Stress	Protein Synthesis
		Stomatal Closure,	Maintenance Of Mrna
		Water Uptake	Stability
		Control, Abscission	Maintenance Of Protein
		And Senescence	Stability
		Control Pathways	Maintenance Of Protein-
			Protein Interaction
Down-Regulated	Early Responder	Negative Regulation	Transcription Factors
Transcripts	Repressors Of	Of ABA Pathways	Change In Protein
(Level At 1 Hr ≅ 6 Hr)	ABA State Of	Released	Structure By
or	Metabolism	Changes In Pathways	Phosphorylation (Kinases)
(Level At 6 Hr > 1 Hr)	Genes With	And Processes	Or Dephosphoryaltion
	Discontinued	Operating In Cells	(Phosphatases)
	Expression Or		Change In Chromatin
	UnsTable mRNA		Structure And/Or DNA
	In Presence Of		Topology
	ABA
Down-Regulated	Delayed	Negative Regulation	Transcription Factors
Transcripts	Repressors Of	Of ABA Pathways	Kinases And Phosphatases
(Level At 1 Hr > 6 Hr)	ABA State Of	Released	Stability Of Factors For
	Metabolism	Maintenance Of	Protein Synthesis And
	Genes With	Pathways Released	Degradation
	Discontinued	From Repression
	Expression Or	Changes In Pathways
	UnsTable mRNA	And Processes
	In Presence Of	Operating In Cells
	ABA

Use of Promoters of ABA Responsive Genes

Promoters of ABA responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the ABA responsive genes where the desired sequence is operably linked to a promoter of a ABA responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.C.2. Auxin Responsive Genes, Gene Components and Products

Plant hormones are naturally occurring substances, effective in very small amounts that stimulate or inhibit growth or regulate developmental processes in plants. One of the plant hormones is indole-3-acetic acid (IAA), often referred to as Auxin.

Changes in Auxin concentration in the surrounding environment in contact with a plant or in a plant results in modulation of the activities of many genes and hence levels of gene products. Examples of such Auxin responsive genes and their products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. The genes were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to application of Auxin to plants.

Manipulation of one or more Auxin responsive gene activities are useful to modulate the biological activities and/or phenotypes listed below. Auxin response genes and gene products can act alone or in combination. Useful combinations include Auxin response genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of the levels of such proteins is especially useful for altering phenotypes and biochemical activities of plants. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108564, 108565, 108516, 108554, 108466, 107886, 107891, SMD 3743, and NAA (relating to SMD 3749, SMD 6338, SMD 6339)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

NAA genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

NAA Genes Identified by Cluster Analyses of Differential Expression

NAA Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of NAA genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108564, 108565, 108516, 108554, 108466, 107886, 107891, SMD 3743, and NAA (relating to SMD 3749, SMD 6338, SMD 6339) of the MA_diff table(s).

NAA Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of NAA genes. A group in the MA_clust is considered a NAA pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

NAA Genes Identified by Amino Acid Sequence Similarity

NAA genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis NAA genes. Groups of NAA genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a NAA pathway or network is a group of proteins that also exhibits NAA functions/utilities.

Such Auxin responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in Auxin concentration or in the absence of Auxin fluctuations. Further, promoters of Auxin responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by Auxin or any of the following phenotypes or biological activities below.

III.C.2.a. Use of Auxin Responsive Genes, Gene Components and Products to Modulate Phenotypes

Auxin responsive genes and gene products are useful to or modulate one or more phenotypes including growth, apical dominance, vascular growth, roots, inhibition of primary root elongation, increased lateral root formation, stems, lateral buds, lateral branching, reduction of branching, for high density growth per acre, for increased wood production, lateral organ initiation and/or positioning in apical meristem, organ formation, for example, fruit number in tomatoes, leaves, height/stature, e.g., taller crops or increase wood production, regeneration and differentiation of cultured cells or plantlets, biomass, fresh and dry weight during any time in plant life, such as maturation; number of flowers; number of seeds; number of branches; number of leaves; starch content, seed yield, including number, size, weight, harvest index, starch content, fruit yield, number, size, weight, harvest index, starch content, development, orienting cell growth, establishment and maintenance of plant axis, apical dominance, cell plate placement, polarised growth, initiation and/or development, of embryos morphogenic progression, e.g., from early radial to late axialized torpedo stages, differentiation of cells into morphologically different cell layers, cotyledon separation, fruit development, abscission, leading to modulation of fruit drop, parthenocarpy, seedless crops resulting from lack of seed set, vascularization, e.g. hypocotyl and cotyledon tissues, genetic control of vascular patterning and influences its maturation; specification of the sites where vascular differentiation will occur; determination of the direction and extent of vascular tissue formation, maintenance of the continuity of vascular development with plant growth, tropic responses, gravitropic responses, e.g. affecting roots and shoots, and modulation of phototropic sensitivity, e.g. increase growth under a reduced light spectrum.

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the Auxin responsive genes when the desired sequence is operably linked to a promoter of an Auxin responsive gene.

To modulate any of the phenotype(s) above, activities of one or more of the Auxin response genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and assayed, for example, in accordance with Bechtold and Pelletier (1998). Methods Mol. Biol. 82: 259-266; Clough and Bent (1998). 16: 735-743; Krysan et al. (1999). Plant Cell 11:2283-2290.

III.C.2.b. Use of Auxin Responsive Genes, Gene Components and Products to Biochemical Activities:

The activities of one or more of the Auxin responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Cell Growth and	Protein Ubiquitination	Gray et al. (1999) Genes and
Differentiation		Develop, 13: 1678-1691
		Bechtold and Pelletier (1998).
		Methods. Mol. Biol. 82: 259-266
	Cell Wall loosening and	Catala et al. (2000). Plant Physiol.
	Expansion	122: 527-534.
		Cosgrove, D. (1993). New Phytol.
		124: 1-23.
Auxin/Cytokinin Ratio	Changing Auxin and/or	Chen et al. (1988). Plant Physiol.
	cytokinin synthesis and/or	86: 822-825
	turnover	Tam et al. (2000). Plant Physiol.
		123: 589-595
		Bartel and Fink. (1995). Science
		268: 1745-1748.
		Prinsen et al. (1995). Quantifying
		phytohormones in transformed
		plants. In: Methods in Molecular
		Biology. 44: 245-262.
Auxin Transport	Channeling of polar Auxin	Reed et al. (1998). Plant Physiol.
	Transport	118: 1369-1378.
		Estelle, M. (1998). Plant Cell
		10: 1775-1778
	Auxin Efflux Between Cells	Reed et al. (1998). Plant Physiol.
		118: 1369-1378.
		Marchant et al. (1999). EMBO J.
		18: 2066-2073.
	Auxin Influx In and Out of a	Reed et al. (1998). Plant Physiol.
	Cell	118: 1369-1378.
		Marchant et al. (1999). EMBO J.
		18: 2066-2073.
	Electogenic Proton Symport	Young et al. (1999). Biochim
	of Auxin	Biophys Acta. 1415(2): 306-22
Signal Transduction	K+ Accumulation	Philippar et al. (1999). Proc. Natl.
		Acad. Sci. 96: 12186-12191
	Permeability of Cell	Marchant et al. (1999). EMBO J.
	Membranes	18: 2066-2073.
	Guanine-Nucleotide	Steinmann et al. (1999). Science
	Exchange	286: 316-318.
		Peyroche et al. (1996). Nature
		384: 479-481.
	Protein Phosphorylation	Christensen et al. (2000). Cell
		100: 469-478.
		Hirt (2000). Proc. Natl. Acad Sci.
		97: 2405-2407.
	Interaction with Ethylene	Madlung et al. (1999). Plant
	mode of action	Physiol. 120: 897-906.
		Xu et al. (1998). Plant Physiol.
		118: 867-874.
Protein Turnover	Localization of Polypeptides	Grebe et al. (2000). Plant Cell.
	with the basal End of Cells	12: 343-356

Other biological activities that can be modulated to by the Auxin responsive genes and their products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Domain section of the Reference Tables.

Auxin responsive genes are characteristically differentially transcribed in response to fluctuating Auxin levels or concentrations, whether internal or external to an organism or cell. The MA_diff(s) report(s) the changes in transcript levels of various Auxin responsive genes in the aerial parts of a seedling at 1 and 6 hours after the seedling was sprayed with a solution enriched with Auxin as compared to aerial parts of a seedling sprayed with water.

The data from this time course can be used to identify a number of types of Auxin responsive genes and gene products, including “early responders,” and “delayed responders.” Profiles of these different classes of Auxin responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
			BIOCHEMICAL
TRANSCRIPT	TYPE OF	PHYSIOLOGICAL	ACTIVITY OF GENE
LEVEL	GENES	CONSEQUENCES	PRODUCTS
Upregulated	Early	Auxin perception	Transcription factors
transcripts	responders to	Auxin	Transporters; channeling
(level at 1 hr	Auxin	Uptake/transport	of polar Auxin transport
≅6 hours)		Modulation of	Kinases and
(level at 1 hr > 6		Auxin response	phosphatases; protein
hours)		transduction	ubiqutination; guanine
		pathways	nucelotide exchange;
			changing Auxin and/or
			cytokininin synthesis
			and/or turnover;
			interaction with ethylene
			mode of action
		Initiating	Auxin metabolic
		transcription of	pathways
		specific gene(s)	Change in chromatin
			structure and/or DNA
			topology
			Transcriptional activators
			Change in activity of
			protein-protein
			interactions
		Modification of cell	Cell wall and cell growth
		walls	promoting pathways
		Modification of cell	Change in activity of
		structures	cytoskeletal proteins
			modulating cell structure
		Modification of	Metabolic enzymes
		metabolism	Coordination and control
			of central carbon and
			Auxin metabolism
Upregulated	“Delayed”	Completion and/or	Transcription factors
transcripts (level	Responders	Maintenance of	Changes in membrane
at 1 hr < 6 hr)		Auxin response	protein, membrane channel
			and/or transporter protein
			activity
		Initiating	Change in chromatin
		transcription of	structure and/or DNA
		specific gene(s)	topology
			Transcriptional activators
			Change in activity of
			protein-protein interactions
		Modification of cell	Cell wall proteins
		walls
		Modification of cell	Change(s) in activity of
		structures	cytoskeletal proteins
			modulating cell structure
		Modification of	Coordination and control of
		metabolism	central carbon and Auxin
			metabolism
			metabolic enzymes
Downregulated	Early repressor	Repression of	Transcription factors
transcripts	responders to	Auxin induced	Changes in activity of
(level at 1 hour ≅	Auxin	proteins released	cytoskeletal proteins
6 hours)	Genes for	Reorientation of	modulating cell structure
(level at 1 hour > 6	pathways	metabolism in	Changes in chromatin
hours)	diminished in	certain cells	structure and/or DNA
	presence of		topology
	Auxin		Changes in protein
			structure and/or function
			by phosphorylation
			(kinases) and/or
			dephosphorylation
			(phosphatases)
			Stability of factors for
			protein translation
			Changes in cell
			membrane structure
			Changes in chromatin
			and/or localized DNA
			topology
			Changes in protein-
			protein interaction
			Metabolic enzymes
Down-regulated	“Delayed”	Maintenance of	Transcription factors
transcripts	repressor	Auxin stimulated	Change in activity of
(level at 1 hour <	responders to	state(s) in certain	cytoskeletal proteins
6 hours)	Auxin	cells	modulating cell structure
	Genes for	Reorientation of	Changes in chromatin
	pathways	metabolism in	structure and/or DNA
	diminished in	certain cells	topology
	presence of		Changes in protein
	Auxin		structure and/or function
			by phosphorylation
			(kinases) and/or
			dephosphorylation
			(phosphatases)
			Stability of factors for
			protein translation
			Changes in cell
			membrane structure
			Changes in chromatin
			and/or localized DNA
			topology
			Changes in protein-
			protein interaction
			Metabolic enzymes

Use of Promoters of NAA Responsive Genes

Promoters of NAA responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the NAA responsive genes where the desired sequence is operably linked to a promoter of a NAA responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.C.3. Brassinosteroid Responsive Genes, Gene Components and Products:

Plant hormones are naturally occurring substances, effective in very small amounts, which act as signals to stimulate or inhibit growth or regulate developmental processes in plants. Brassinosteroids (BRs) are the most recently discovered, and least studied, class of plant hormones. The major physiological response affected by BRs is the longitudinal growth of young tissue via cell elongation and possibly cell division. Consequently, disruptions in BR metabolism, perception and activity frequently result in a dwarf phenotype. In addition, because BRs are derived from the sterol metabolic pathway, any perturbations to the sterol pathway can affect the BR pathway. In the same way, perturbations in the BR pathway can have effects on the later part of the sterol pathway and thus the sterol composition of membranes.

Changes in BR concentration in the surrounding environment or in contact with a plant result in modulation of many genes and gene products. Examples of such BR responsive genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant biomass and seed yield. These genes were discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA abundance changed in response to application of BRs to plants.

While BR responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different BR responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factors and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a BR responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108580, 108581, 108557, 108478, 108479, 108480, 108481). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

BR genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

BR Genes Identified by Cluster Analyses of Differential Expression

BR Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of BR genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108580, 108581, 108557, 108478, 108479, 108480, 108481 of the MA_diff table(s).

BR Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of BR genes. A group in the MA_clust is considered a BR pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

BR Genes Identified by Amino Acid Sequence Similarity

BR genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis BR genes. Groups of BR genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a BR pathway or network is a group of proteins that also exhibits BR functions/utilities.

Such BR responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in BR concentration or in the absence of BR fluctuations. Further, promoters of BR responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by BR or any of the following phenotypes or biological activities below.

III.C.3.a. Use of Brassinosteroid Responsive Genes to Modulate Phenotypes

Brassinosteroid responsive genes and gene products are useful to modulate one or more phenotypes including growth (promotes cell elongation, elongation accelerated at low temperatures for increased plant growth in marginal lands, acts in concert with other hormones to promote cell division); roots (inhibitory to root growth, and expression in roots would inhibit bud breaking due to higher auxin:cytokinin ratio in epicotyl); stems (inhibits radial growth while causing stem elongation, in low concentrations, promotes radial expansion, and increases biomass); height; seeds; promotes cell expansion in embryo and thus enhances germination; leaves; increase biomass; flowers, increase reproduction; biomass; fresh and dry weight during any time in plant life, such as maturation; number of flowers; number of seeds; number of branches; number of leaves; starch content; seed yield (including number, size, weight, harvest index, starch content; fruit yield, number, size, weight, harvest index, and starch content); development; morphogenesis; control of organ size and shape; development of new ornamentals; control of leaf size and shape; promotes leaf unrolling and enlargement; for development of new leafy ornamentals; seed development; inhibition of de-etiolation; dormancy; accelerated germination at low temperatures; root; gravitropism; senescence; promoted in light grown plants; inhibiting synthesis or perception could extend life span of desired tissues/organs; differentiation; vascularization; promotes xylem differentiation; increases xylem fiber length; resistance responses; increases resistance to pathogens; and tropic responses.

Gravitropic Responses Affecting Roots

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the BR responsive genes when the desired sequence is operably linked to a promoter of a BR responsive gene.

To improve any of the desired phenotype(s) above, activities of one or more of the BR response genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266, and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50, visually inspected for the desired phenotype and metabolically and/or functionally assayed according to Choe et al. (1999, Plant Cell 11:207-21 and Plant Physiol 119: 897-907), Yamamoto et al. (1997, Plant Cell Physiol 38:980-3), Asami and Yshida (1999, Trends in Plant Sciences, 4:348-353) and Azpiroz et al. (1998, Plant Cell 10:219-230)

III.C.3.b. Use of Brassinosteroid Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the BR responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR	CITATIONS
	METABOLIC ACTIVITIES	INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
BR Transport	BR Efflux Between Cells	B. Schulz and
		K. Feldmann,
		unpub. results
	BR Influx In And Out Of A	B. Schulz and
	Cell	K. Feldmann,
		unpub. results
Signal Transduction	Permeability Of Cell
	Membranes
	Protein Phosphorylation
Metabolism	Major Growth Coordinating
	Pathways

Other biological activities that can be modulated by the BR responsive genes and gene products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Domain section of the Reference Tables.

BR responsive genes are differentially transcribed in response to fluctuating BR levels or concentrations, whether internal or external to an organism or cell. The MA_diff table(s) report(s) the changes in transcript levels of various BR responsive genes in the aerial parts of a seedling at 1 and 6 hours after a plant was sprayed with a solution enriched with BR as compared to seedlings sprayed with water. The data from this time course can be used to identify a number of types of BR responsive genes and gene products, including “early responders,” “delayed responders.” Profiles of these different categories of BR responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up Regulated	Early	BR Perception	Transcription
Transcripts	Responders To		Factors
(Level At 1 Hr ≈ 6 Hr)	BR	BR Transport	Receptors
(Level At 1 Hr > 6 Hr)			Transporters
			Change In Cell
			Membrane Structure
		BR Biosynthesis	Feedback Regulated
		Feedback	Biosynthetic Genes
		Modulation Of	Kinases And
		BR Response	Phosphatases
		Transduction	2nd Messengers, Eg.,
		Pathways	Calmodulin
		Specific Gene	Transcription
		Transcription	Activators
		Initiation	Change In
			Chromatin Structure
			And/Or Localized
			DNA Topology
Up Regulated	Delayed	Maintenance Of	Transcription
Transcripts	Responders	Response To Br	Factors
(Level At 1 Hr < 6 Hr)			BR Biosynthetic
			Genes
			Specific Factors
			(Initiation And
			Elongation) For
			Protein Synthesis
			Maintenance Of
			Mrna Stability
			Maintenance Of
			Protein Stability
			Maintenance Of
			Protein-Protein
			Interaction
		Cell And Organ	Cell Wall
		Elongation	Elongation
		Gravitropism
Down-Regulated	Early Responder	Negative	Transcription
Transcripts	Repressors Of BR	Regulation Of	Factors
(Level At 1 Hr ≈ 6 Hr)	State Of Metabolism	BR Pathways	Change In Protein
(Level At 6 Hr > 1 Hr)	Genes With	Released	Structure By
	Discontinued	Changes In	Phosphorylation
	Expression Or	Pathways And	(Kinases) Or
	UnsTable Mrna In	Processes	Dephosphoryaltion
	Presence Of	Operating In	(Phosphatases)
	BR	Cells	Change In
			Chromatin Structure
			And/Or DNA
			Topology
Down-Regulated	Delayed	Negative	Transcription
Transcripts	Repressors Of	Regulation Of	Factors
(Level At 1 Hr > 6 Hr)	BR State Of	BR Pathways	Kinases And
	Metabolism	Released	Phosphatases
	Genes With	Maintenance Of	Stability Of Factors
	Discontinued	Pathways	For Protein
	Expression Or	Released From	Synthesis And
	UnsTable Mrna	Repression	Degradation
	In Presence Of	Changes In
	BR	Pathways And
		Processes
		Operating In
		Cells

Use of Promoters of BR Responsive Genes

Promoters of BR responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the BR responsive genes where the desired sequence is operably linked to a promoter of a BR responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.C.4. Cytokinin Responsive Genes, Gene Components and Products

Plant hormones are naturally occurring substances, effective in very small amounts, which act as signals to stimulate or inhibit growth or regulate developmental processes in plants. Cytokinins (BA) are a group of hormones that are best known for their stimulatory effect on cell division, although they also participate in many other processes and pathways. All naturally occurring BAs are aminopurine derivatives, while nearly all synthetic compounds with BA activity are 6-substituted aminopurine derivatives. One of the most common synthetic BAs used in agriculture is benzylaminopurine (BAP).

Changes in BA concentration in the surrounding environment or in contact with a plant results in modulation of many genes and gene products. Examples of such BA responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix tables, MA_diff and MA_clust. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to application of BA to plants.

While cytokinin responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different BA responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a BA responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108566, 108567, 108517). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

BA genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

BA Genes Identified by Cluster Analyses of Differential Expression

BA Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of BA genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108566, 108567, 108517 of the MA_diff table(s).

BA Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of BA genes. A group in the MA_clust is considered a BA pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

BA Genes Identified by Amino Acid Sequence Similarity

BA genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis BA genes. Groups of BA genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a BA pathway or network is a group of proteins that also exhibits BA functions/utilities.

Such BA responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in BA concentration or in the absence of BA fluctuations.

Further, promoters of BA responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by BA or any of the following phenotypes or biological activities below.

III.C.4.a. Use of Ba-Responsive Genes to Modulate Phenotypes

BA responsive genes and gene products are useful to or modulate one or more phenotypes including growth, roots (such as inhibition of elongation of root); stems (such as inhibition of elongation of hypocotyl); lateral buds (such as promotion of outgrowth for rapid production of multiple shoots as a source for grafting); leaves such as development (including cell growth, such as expansion of cotyledon and promotes cell enlargement for increased yield from leaf crops, chloroplast development such as delayed degradation of chloroplasts for increased photosynthesis and crop yield, cell division and senescence such as delays for delayed conversion from photosynthesis to salvage programs in leaves and for increased crop yield); differentiation such as regulation of morphogenesis for manipulating callus growth and shoot/root formation in culture; maintenance of shoot meristem such as for increased usable wood production, and reduced tiller number for denser crop planting regimes; nutrient metabolism for effects on seed size and effects on rate of seed set for increased seed yield; induction of ethylene biosynthesis for control of fruit ripening; and parthenocarpy for control of sexual reproduction and production of seedless fruits.

To regulate any of the phenotype(s) above, activities of one or more of the BA responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or molecularly or metabolically or functionally assayed according to Lohman et al (1994, Physil. Plant 92:322-328), Woolhouse (1983, In Agricultural Research-Strategies of Plant reproduction, Meudt, ed., 201-236), Medford et al. (1989, Plant Cell 1: 403-13), Vogel et al. (1998, Genetics 149:417-27), Ehnes and Roitsch (1997, Plant J 1: 539-48), Rotino et al. (1997, Nat. Biotchnol. 15: 1398-1401).

III.C.4.b. Use of Ba-Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the BA responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES AND/OR	CITATIONS
PROCESS	PATHWAYS	INCLUDING ASSAYS
Chloroplast	Photosynthesis	Benkova et al (1999) Plant
Functioning		Physil 121: 245-252
Induction And	Cell Cycle Phase	Riou-Khamlichi et al.
Maintenance Of	Transition	(1999) Science 283:
Cell Division		1541-44
Senescence	Cell Death/Apoptosis	Lohman et al. (1994)
		Physiol Plant 92: 322-328
Signal	Sensing Endogenous	Kakimoto (1996) Science
Transduction	Stimuli To	274: 982-985
	Trigger Growth And
	Shoot Formation

Other biological activities that can be modulated by the BA responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Domain section above.

BA responsive genes are characteristically differentially transcribed in response to fluctuating BA levels or concentrations, whether internal or external to an organism or cell. The MA_diff table reports the changes in transcript levels of various BA responsive genes in the aerial parts of a seedling at 1 and 6 hours after a plant was sprayed with a Hoagland's solution enriched with BA as compared to seedlings sprayed with Hoagland's solution only.

The data from this time course can be used to identify a number of types of BA responsive genes and gene products, including “early responders,” and “delayed responders.” Profiles of these different BA responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

GENE	FUNCTIONAL	TYPE OF	EXAMPLES OF
EXPRESSION	CATEGORY OF	BIOLOGICAL	BIOCHEMICAL
LEVELS	GENES	ACTIVITY	ACTIVITY
Up Regulated	Early	BA Perception	Transcription Factors
Transcripts	Responders To	BA Uptake	Transporters
(Level At 1 h ≅6 h)	BA	Modulation Of BA	Kinase, Receptor-Like
Or		Response	Protein Kinase
(Higher At 1 h		Transduction
Than 6 h)		Pathways
		Specific Gene	Ovule-Specific Homeotic
		Transcription	Protein, Secretory
		Initiation	Pathway
		Initiate And	Cell Division Control
		Coordinate Cell	Protein, Cyclins, Cyclin-
		Division	Dependent Protein
			Kinase (Cdpk), Cell
			Cycle Phosphatases,
			Mitosis-Specific
			Chromosome
			Segregation Protein,
			Mitotic Phosphoprotein,
			Dna Replication Proteins,
			Helicase Telomerase,
			Centromere Protein,
			tRNA Synthase
		Regulation Of	Senescence-Associated
		Pathways To	Protein, Bifunctional
		Senescence	Nuclease, Aba Pathway
			Genes, Ethylene Pathway
			Genes, Proteases,
			Nucleases, Pcd Genes
		Modulation Of	Calvin Cycle,
		Chloroplast Gene	Chlorophyll A/B Binding
		Expression And	Protein (Cab),
		Photosysthesis	Transketolase,
			Lipoxygenase,
			Chloroplast Rna
			Processing Protein,
			Chloroplast Envelope
			Membrane Protein.
		Modulation Of	Glutamate Synthase,
		Photorespiration And	Gogat, Asparagine
		Primary Nitrogen	Synthase, Catalase,
		Assimilation In	Peroxidase
		Leaves
		Expression
		Stress Response	Heat Shock Proteins,
			Gst
		Wax Biosynthesis	Fatty Acid Elongase-
			Like Protein, Very-Long-
			Chain Fatty Acid
			Condensing Enzyme, Coa
			Synthase
		Nutrient Metabolism	Vicilin Storage Protein
		Embryogenesis	Homeobox Domain
			Proteins
		Glycolysis,	Mutase,
		Gluconeogenesis	Phosphoglycerate Mutase
		Ripening	Pectate Lyase, Ethylene
			Pathway Genes
Upregulated	BA Late	BA Responsive	Transfactors, Kinases,
Transcripts	Responders	Pathways	Phosphatases, LRR's,
(Higher At 6 h			Dna Remodelling
Than 1 h)			Proteins, Cu-Binding
			Proteins
		Cell Wall Extension	Expansins, Extensins,
			Proline Rich Proteins
		Organogenesis	AP2 Domain Containing
			Proteins
		Modulate Activation	Transfactors Interacting
		Of Disease Defense	With Resistant Genes
		Genes
		Modulate Responses	Glycin-Rich Proteins,
		To External Stimuli	Wall-Associated
			Receptor Kinase (Wak)
		Osmotic Stress	Proline Oxidase
		Tolerance
Down-Regulated	Repressors Of BA	Regulation Of	Transfactors (Such As
Transcripts (Low	Pathway	Senescence-Related	Zinc-Finger Type),
At Both 1 h and		Gene Expression	Kinases, Phosphatases,
6 h)			G-Proteins, LRR
			Proteins, DNA
			Remodeling Protein
			Carbonyl Reductases
		Regulation Of Genes	Atpases
		Involved In	Oxygenase
		Maintenance Of	Octaprenyltransferase
		Apical Dominance.	Auxin Pathway Genes
			Auxin Binding Proteins

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the BA responsive genes when the desired sequence is operably linked to a promoter of a BA responsive gene.

III.C.5. Gibberellic Acid Responsive Genes, Gene Components and Products

Plant hormones are naturally occurring substances, effective in very small amounts, which act as signals to stimulate or inhibit growth or regulate developmental processes in plants. Gibberellic acid (GA) is a hormone in vascular plants that is synthesized in proplastids (giving rise to chloroplasts or leucoplasts) and vascular tissues. The major physiological responses affected by GA are seed germination, stem elongation, flower induction, anther development and seed and pericarp growth. GA is similar to Auxins, cytokinins and gibberellins, in that they are principally growth promoters.

Changes in GA concentration in the surrounding environment or in contact with a plant result in modulation of many genes and gene products. Examples of such GA responsive genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and biomass and seed yield. They were discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA products changed in concentration in response to application of nitrogen to plants.

While GA responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different GA responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways and/or segments of pathways are controlled by transcription factors and proteins that affect the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a GA responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common overlapping pathways. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108562, 108563, 108519, 108520, 108521, 108484, 108485, 108486). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

GA genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

GA Genes Identified by Cluster Analyses of Differential Expression

GA Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of GA genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108562, 108563, 108519, 108520, 108521, 108484, 108485, 108486 of the MA_diff table(s).

GA Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of GA genes. A group in the MA_clust is considered a GA pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

GA Genes Identified by Amino Acid Sequence Similarity

GA genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis GA genes. Groups of GA genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a GA pathway or network is a group of proteins that also exhibits GA functions/utilities.

Such GA responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in GA concentration or in the absence of GA fluctuations. Further, promoters of GA responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by GA or any of the following phenotypes or biological activities below.

III.C.5.a. Use of GA Responsive Genes to Modulate Phenotypes:

GA responsive genes and gene products are useful to or modulate one or more phenotypes including growth, promotes root growth, promotes cell division, promotes stem elongation, secondary (woody) growth, promotes growth in leaves, biomass, increase in stem and leaf mass, increase in xylem fiber length and biomass production, development, cell growth, fruit development, seed development, dormancy, breaks dormancy in seeds and buds, promotes trichome formation, decrease senescence, regulation of fertility, stress responses, and flowering time.

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the GA responsive genes when the desired sequence is operably linked to a promoter of a GA responsive gene.

To regulate any of the phenotype(s) above, activities of one or more of the GA response genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Hedden and Proebsting (1999, Plant Physiol. 119:365-370), Hedden and Phillips (1999, Current Opinion in Plant Biotech. 11:130-137), Perazza et al (1998, Plant Physiol. 117:375-383), Kende and Zeevart (1997, Plant Cell 9:1197-1210) and van der Knaap et al. (2000, Plant Physiol. 122:695-704).

III.C.5.b. Use of GA-Responsive Genes to Modulate Biochemical Activities:

The activities of one or more of the GA responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Cell Growth and	Biosynthesis of Gas	Hedden and Proebsting
Differentiation		(1999, Plant Physiol.
		119: 365-370)
	Cell wall loosening and cell	Cosgrove (1993, New
	expansion	Phytol. 124: 1-23)
	GA deactivation	Hedden and Proebsting
	Major growth promoting	(1999, Plant Physiol.
	metabolic pathways	119: 365-370)
Perception and Signal	Receptors	Koornneef and van der
Transduction		Veen (1980, TAG 58: 257-263)
	Synthesis of transcriptional	Bethke and Jones (1998,
	regulators	Curr. Opin. Plant Biol.
	Calcium and Calmodulin	1: 440-446)

Other biological activities that can be modulated by the GA responsive genes and gene products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Protein Domain table.

GA responsive genes are characteristically differentially transcribed in response to fluctuating GA levels or concentrations, whether internal or external to an organism or cell. The MA_diff table(s) report(s) the changes in transcript levels of various GA responsive genes in entire seedlings at 1 and 6 hours after a plant was sprayed with a Hoagland's solution enriched with GA as compared to seedlings sprayed with Hoagland's solution only.

The data from this time course can be used to identify a number of types of GA responsive genes and gene products, including “early responders,” and “delayed responders.” Profiles of some GA responsive genes are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Early responders to	GA perception	Transcription factors
transcripts	GA	GA transport	Transporters
(level at 1 hr ≈ 6 hr)	Genes induced by	Modulation of GA	Change in cell
(level at 1 hr > 6 hr)	GA	response	membrane structure
		transduction	Kinases and
		pathways	phosphatases
		Specific gene	Transcription activators
		transcription	Change in chromatin
		initiation	structure and/or
		Growth stimulating	localized DNA topology
		pathway induction	Cell wall proteins
			Metabolic Enzymes
Up regulated	Maintenance of GA	Maintenance of	Transcription factors
transcripts	response	response to GA	Specific factors
(level at 1 hr < 6 hr)	“Delayed” responders	Induction of GA	(initiation and
		metabolic pathways	elongation) for protein
			synthesis
			Maintenance of mRNA
			stability
			Metabolic enzymes
Down-regulated	Early repressor	Negative regulation	Transcription factors
transcripts	responders to GA	of GA pathways	Calmodulin
(level at 1 hr ≈ 6 hr)	Genes repressed by	released	Change in protein
(level at 6 hr > 1 hr)	GA	Reduced activity of	structure by phosphorylation
	Genes whose	repressed pathways	(kinases) or
	activities are		dephosphoryaltion
	diminished or		(phosphatases)
	mRNAs are unsTable		Change in chromatin
	in the presence of GA		structure and/or DNA
			topology
Down-regulated	Delayed responders	Maintenance or GA	Transcription factors
transcripts	Genes repressed by	repressed pathways	Kinases and
(level at 1 hr > 6 hr)	GA		phosphatases
	Genes whose		Stability factors for
	activities are		protein translation
	diminished or		Metabolic enzymes
	mRNAs are unsTable
	in the presence of GA

Use of Promoters of GA Responsive Genes

Promoters of GA responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the GA responsive genes where the desired sequence is operably linked to a promoter of a GA responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.D. Metabolism Affecting Genes, Gene Components and Products

III.D.1. Nitrogen Responsive Genes, Gene Components and Products

Nitrogen is often the rate-limiting element in plant growth, and all field crops have a fundamental dependence on exogenous nitrogen sources. Nitrogenous fertilizer which is usually supplied as ammonium nitrate, potassium nitrate, or urea, typically accounts for 40% of the costs associated with crops, such as corn and wheat in intensive agriculture. Increased efficiency of nitrogen use by plants should enable the production of higher yields with existing fertilizer inputs and/or enable existing yields of crops to be obtained with lower fertilizer input, or better yields on soils of poorer quality. Also, higher amounts of proteins in the crops could also be produced more cost-effectively.

Changes in nitrogen concentration in the surrounding environment or in contact with a plant results in modulation of the activities of many genes and hence levels of gene products. Examples of such “nitrogen responsive” genes and gene products with these properties are shown in the Reference, Sequence, Protein Group, Protein Group Matrix tables, MA_diff, MA_clust, Knock-in and Knock-out tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to changing levels of available nitrogen to plants.

Manipulation of one or more “nitrogen responsive” gene activities is useful to modulate the biological activities and/or phenotypes listed below. “Nitrogen responsive” genes and gene products can act alone or in combination. Useful combinations include nitrogen responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of the levels of such proteins is especially useful for altering phenotypes and biochemical activities of plants. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108592, 108593, 108588, 108589, 108590, 108591, 108532, 108548, 108549, 108550, 108551, 108454, 108455, 108487, 108488, 108489, and Nitrogen (relating to SMD 3787, SMD 3789)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Nitrogen genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Nitrogen Genes Identified by Cluster Analyses of Differential Expression

Nitrogen Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Nitrogen genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108592, 108593, 108588, 108589, 108590, 108591, 108532, 108548, 108549, 108550, 108551, 108454, 108455, 108487, 108488, 108489, and Nitrogen (relating to SMD 3787, SMD 3789) of the MA_diff table(s).

Nitrogen Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Nitrogen genes. A group in the MA_clust is considered a Nitrogen pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Nitrogen Genes Identified by Amino Acid Sequence Similarity

Nitrogen genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Nitrogen genes. Groups of Nitrogen genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Nitrogen pathway or network is a group of proteins that also exhibits Nitrogen functions/utilities.

Such “nitrogen responsive” genes and gene products can function either to either increase or dampen the phenotypes and activities below, either in response to changes in nitrogen concentration or in the absence of nitrogen fluctuations.

Further, promoters of nitrogen responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by nitrogen or any of the following phenotypes or biological activities below.

III.D.5.a. Use of Nitrogen-Responsive Genes to Modulate Phenotypes

“Nitrogen responsive” genes and gene products can be used to alter or modulate one or more phenotypes including plant development, initiation of the reproduction cycle from a vegetative state (such as flower development time and time to fruit maturity); root development and initiation (such as root branching, lateral root, initiation and/or development, nodule formation and nitrogen assimilation from any nitrogen-fixing symbions), growth rate, whole plant (including height, flowering time, etc.), organs (such as flowers, fruits, stems, leaves, roots, and lateral roots), biomass (such as fresh and dry weight during any time in plant life, such as maturation); number, size, and weight of flowers; seeds; branches, and leaves); total plant nitrogen content, amino acid/protein content of whole plant or parts, seed yield (such as number, size, weight, harvest index and content and composition, e.g., amino acid, nitrogen, oil, protein, and carbohydrate) and fruit yield (such as number, size, weight, harvest index, content and composition, e.g., amino acid, nitrogen, oil, protein, carbohydrate, and water.

To regulate any of the phenotype(s) above, activities of one or more of the nitrogen responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and assayed, for example, in accordance to Zhang (1999) Proc. Natl. Acad. Sci. 96(11): 6529-34; or Zhang and Forde (1998) Science 279(5349):407-9; Scheible, W., Lauerer, M., Schultze, E.-D., Caboche, M., and Sitt, M. (1997). Plant J. 11, 671-691; Chevalier C, Bourgeois E, Just D, Raymond P. Plant J. 1996 January; 9(1):1-11.

III.D.5.b. Use of Nitrogen-Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the nitrogen responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations included in the Table below:

	Biochemical Or Metabolic
Process	Activities And/Or Pathways	Citations including assays
Nitrate And Ammonium	NO3− Influx And Efflux	Lejay et al. (1999) Plant J. 18(5):
Uptake and Assimilation		509-519
	Nitrate Channels	Liu et al. (1999) Plant Cell 11: 865-874;
		and
		Wang et al.(1998) Proc. Natl. Acad.
		Sci. USA 95: 15134-15139
	Changes In Membrane-	Meharg et al. (1995) J. Membr.
	Potential	Biol. 145: 49-66; and
		Wang et al. (1998), supra
Amino Acid Synthesis	Glutamine Synthesis And	Coruzzi et al. U.S. Pat. No.
	Then Biosynthesis Of Other	5,955,651; and
	Amino Acids	Oliveira et al. (1999) Plant. Phys.
		121: 301-309
	Asparagine Synthesis And	LAM ET AL. (1998) PLANT J.
	Then Biosynthesis Of Other	16(3): 345-353
	Amino Acids
Coordination Of Carbon	Light-Regulation Of Major	Lam et al. (1998), supra;
And Nitrogen Metabolism	Central Carbon And	Lejay et al. (1999), supra; and
	Nitrogen Metabolic	Oliveira et al. (1999), supra
	Pathways To Coordinate
	Growth
	Carbohydrate And Nitrogen	Lam et al. (1998) supra;
	Control Of Carbohydrate	Lejay et al. (1999) supra; and
	And Organic Nitrogen	Oliveira et al. (1999) supra
	Accumulation Pathways
Nitrogen Loading And	Nitrogen Transport From	Walker et al. (1999) 210(1): 9-18
Unloading	Source To Sinks	Elsheikh et al. (1997)
		51(2): 137-44.
Nitrogen Storage	Accumulation Of Amino	Johnson et al. (1990) Plant Cell
	Acids And/Or Storage	2(6): 525-32.
	Proteins In Vacuoles	Herman and Larkins (1999) Plant
		Cell. 11(4): 601-14.
Ammonium	Plastid Ammonium	Crawford (1995) Plant Cell
Detoxification	Storage/Glutamine	7(7): 859-68.
	Synthesis	Zhang and Forde (1998) Science
		279: 407-409.
Cell Growth	DIVISION AND/OR	Zhang and Forde (1998) Science
	ELONGATION	279: 407-409.
		Coruzzi et al. U.S. Pat. No.
		5,955,651

Other biological activities that can be modulated by the nitrogen responsive genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Domain section above.

Nitrogen responsive genes are characteristically differentially transcribed in response to fluctuating nitrogen levels or concentrations, whether internal or external to an organism or cell. The MA_diff table reports the changes in transcript levels of various nitrogen responsive genes in the aerial parts of a seedling at 2, 6, 9 and 12 hours after a plant was sprayed with a solution enriched with ammonium nitrate as compared to seedlings sprayed with water. The MA_diff reports the changes in transcript levels of various nitrogen responsive genes in roots at 12 and 24 hours that were cut from seedlings transferred from a high to low potassium nitrate environment compared to control seedlings transferred to a high potassium nitrate environment.

The data from this time course reveal a number of types of nitrogen responsive genes and gene products, including “early responders,” and “delayed nitrogen responders”. Profiles of the individual categories of nitrogen responsive genes are shown in the Tables below together with examples of the kinds of associated biological activities that are modulated when the activities of one or more such genes vary in plants.

Low to High Ammonium Nitrate Experiment
	Functional
Gene Expression	Category Of	Physiological
Levels	Gene	Consequences	Examples Of Gene Products
Upregulated	Early	Perception Of	Transcription Factors
Transcripts	Responders To	Nitrogen	Transporters
(Level At 2 h ≅ 6,	Nitrogen	Induced Nitrogen	Inhibitors Of Nitrogen
9 Or 12 h) Or		Uptake Into Cells	Fixation
(Level At 2 h > 6,		Induction Of Nitrogen	Components Of Pathways
9 Or 12 h)		Response Transduction	Released From Repression
		Pathways	Transaminases
		Initiation Of Specific	Amino Acid Biosynthetic
		Gene Transcription	Enzymes
Upregulated	Delayed	Maintenance Of High	Nitrogen Metabolic
Transcripts	Nitrogen	Nitrogen Metabolism	Pathway Enzymes
(Level At 2 h < 6,	Responders	And Growth	Transaminases
9, Or 12 h			Amino Acid Biosynthetic
			Enzymes
			Factors Induced In
			Coordination And Control
			Of Central Carbon And
			Nitrogen Metabolism
			Cell Wall And Cell
			Growth-Promoting
			Pathway Enzymes
			Storage Proteins
Down Regulated	Early	Negative Regulation	Transcription Factors
Transcripts	Responder	Of Nitrogen Utilization	Kinases And Phosphatases
(Level At 2 h ≅ 6,	Repressors Of	Pathways Released	Cytoskeletal Proteins
9 Or 12 h) Or	Nitrogen	Pathways Of C And N	Modulating Cell Structure
(Level At 6, 9 Or	Utilization	Metabolism Required	Chromatin Structure
12 h > 2 h)	Pathways	At Lower Levels	Regulatory Proteins
	Genes With	Decline In Presence Of	Metabolic Enzymes
	Discontinued	High Nitrogen	Transporters
	Expression Or		Proteins And Rna
	UnsTable Mrna		Turnover Systems
	Following
	Nitrogen
	Uptake
Level At 2 Hours >	Delayed	Negative Regulation	Transcription Factors
6, 9 Or 12 Hours	Response	Of Nitrogen Utilization	Kinases And Phosphatases
	Repressors Of	Pathways Released	Cytoskeletal Proteins
	Nitrogen	Pathways Of C And N	Modulating Cell Structure
	Utilization	Metabolism Required	Chromatin Structure
	Pathways	At Lower Levels	Regulatory Proteins
	Genes With	Decline In Presence Of	Metabolic Enzymes
	Discontinued	High Nitrogen	Transporters
	Expression Or		Protein And Rna Turnover
	UnsTable Mrna		Systems
	Following
	Nitrogen
	Uptake
High to Low Potassium Nitrate Experiments
			Examples Of Biochemical
Gene Expression	Functional	Type Of Biological	Activities Of Gene
Levels	Category Of Gene	Activity	Products
Upregulated	Early Responders	Perception Of Low	Transcription Factors -
Transcripts (Level	To Low Nitrate	Nitrate	Controlling Transcription
At 12 h~24 h)		Nitrogen Uptake Into	Transporters - Facilitating
(Level At		Cells	Transport
12 h > 24 h)		Low Nitrogen Signal	Cell Wall/Membrane
		Transduction Response	Structure Determining
		Pathways	Proteins
		Initiation Of Specific	Kinases And
		Gene Transcription	Phosphatases-
		Initiation Of Nitrogen	Regulating Signal
		Fixation	Transduction Pathways
			Cytoskeletal
			Proteins-Modulating Cell
			Structure
			Chromatin
			Structure And/Or Dna
			Topology Proteins
			Protein-Protein Interaction
			Participants
			Metabolic Enzymes-
			Nitrogen Turnover Enzymes
			And Pathway Components
Upregulated	Delayed Low	Maintenance Of Low	Transcription Factors -
Transcripts	Nitrate	Nitrogen Response	Controlling Transcription
(Level 12 h < 24 h)	Responders	Pathways (See the Table	Transporters - Facilitating
		Above)	Transport
			Cell Wall/Membrane
			Structure Determining
			Proteins
			Kinases And
			Phosphatases-
			Regulating Signal
			Transduction Pathways
			Cytoskeletal
			Proteins-Modulating Cell
			Structure
			Chromatin
			Structure And/Or Dna
			Topology Proteins
			Protein-Protein Interaction
			Participants
			Metabolic Enzymes-
			Nitrogen Turnover Enzymes
			And Pathway Components
Down-Regulated	Early Repressor	Negative Regulation Of	Transcription Factors
Transcripts (Level	Responders To	Low Nitrogen-Mediated	Cell
At 12 h~24 h)	Low Nitrate	Pathways And/Or	Wall/Membrane Structure
(Level At	Genes Whose	Responses Released	Determining Proteins
12 h > 24 h)	Expression Is	Pathways In C And N	Factors For
	Discontinued Or	Metabolism Required At	Promoting Protein
	Mrna Is UnsTable	Lower Levels Decline In	Translation
	In Presence Of	The Presence Of Low	Kinases And
	Low Nitrate	Nitrate	Phosphatases
			Cytoskeletal Proteins-
			Modulating Cell Structure
			Protein And Rna Turnover
			Systems
Down-Regulated	Delayed	Negative Regulation Of	Transcription Factors
Transcripts	Repressor	Low Nitrogen-Mediated	Cell
(Level At	Responders To	Pathways And/Or	Wall/Membrane Structure
12 h < 24 h)	Low Nitrate	Responses Released	Determining Proteins
	Genes Whose	Pathways In C And N	Factors For
	Expression Is	Metabolism Required At	Promoting Protein
	Discontinued Or	Lower Levels Decline In	Translation
	mRNA Is	The Presence Of Low	Kinases And
	UnsTable In	Nitrate	Phosphatases
	Presence Of Low		Cytoskeletal Proteins-
	Nitrate		Modulating Cell Structure
			Protein And Rna Turnover
			Systems
			Chromatin Structure
			And/Or Dna Topology
			Proteins

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the nitrogen responsive genes when the desired sequence is operably linked to a promoter of a nitrogen responsive gene.

III.D.2. Circadian Rhythm (Clock) Responsive Genes, Gene Components and Products

Often growth and yield are limited by the ability of a plant to tolerate stress conditions, including water loss. To combat such conditions, plant cells deploy a battery of responses that are controlled by an internal circadian clock, including the timed movement of cotyledons and leaves, timed movements in guard cells in stomata, and timed biochemical activities involved with sugar and nitrogen metabolism. These responses depend on the functioning of an internal circadian clock, that becomes entrained to the ambient light/dark cycle, and a series of downstream signaling events leading to transcription independent and transcription dependent stress responses.

A functioning circadian clock can anticipate dark/light transitions and prepare the physiology and biochemistry of a plant accordingly. For example, expression of a chlorophyll a/b binding protein (CAB) is elevated before daybreak, so that photosynthesis can operate maximally as soon as there is light to drive it. Similar considerations apply to light/dark transitions and to many areas of plant physiology such as sugar metabolism, nitrogen metabolism, water uptake and water loss, flowering and flower opening, epinasty, germination, perception of season, and senescence.

Manipulation of one or more clock gene activities is useful to modulate the biological processes and/or phenotypes listed below. Clock responsive genes and gene products can act alone or in combination. Useful combinations include clock responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Circadian (relating to SMD 2344, SMD 2359, SMD 2361, SMD 2362, SMD 2363, SMD 2364, SMD 2365, SMD 2366, SMD 2367, SMD 2368, SMD 3242)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Circadian genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Circadian Genes Identified by Cluster Analyses of Differential Expression

Circadian Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network;

A pathway or network of Circadian genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Circadian (relating to SMD 2344, SMD 2359, SMD 2361, SMD 2362, SMD 2363, SMD 2364, SMD 2365, SMD 2366, SMD 2367, SMD 2368, SMD 3242) of the MA_diff table(s).

Circadian Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Circadian genes. A group in the MA_clust is considered a Circadian pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Circadian Genes Identified by Amino Acid Sequence Similarity

Circadian genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Circadian genes. Groups of Circadian genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Circadian pathway or network is a group of proteins that also exhibits Circadian functions/utilities.

Such clock responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in daylength or in response to changes in light quality. Further, promoters of cirdadian (clock) responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by circadian or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the circadian (clock) responsive genes when the desired sequence is operably linked to a promoter of a circadian (clock) responsive gene.

The expression of many genes is modulated by the clock. Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing some 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in response to the circadian rhythm clock at various times through the 24 hour cycle relative to the controls were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones identified. The MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which represent clock responsive genes.

III.D.2.a. Use of Circadian Rhythm (Clock) Responsive Genes to Modulate Phenotypes

Clock responsive genes and gene products are useful to or modulate one or more phenotypes including timing phenotypes, dormancy, germination, cotyledon opening, first leaves, juvenile to adult transition, bolting, flowering, pollination, fertilization, seed development, seed set, fruit drop, senescence, epinasty, biomass, fresh and dry weight during any time in plant life, such as maturation, number of flowers, seeds, branches, and/or leaves, seed yield, including number, size, weight, and/or harvest index, fruit yield, including number, size, weight, and/or harvest index, plant development, time to fruit maturity, cell wall strengthening and reinforcement, stress tolerance, drought tolerance, flooding tolerance, and uv tolerance

To regulate any of the phenotype(s) above, activities of one or more of the clock responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Anderson et al. (1997) Plant Cell 9: 1727-1743; Heintzen et al. (1997) Proc. Natl. Acad. Sci. USA 94: 8515-20; Schaffer et al. (1998) Cell 93:1219-1229; Somers et al. (1998) Development 125: 485-494; Somers et al. (1998) Science 282: 1488-1490; Wang and Tobin (1998) Cell 93: 1207-1217; Zhong et al. (1998) Plant Cell 10: 2005-2017; Sugano et al. (1998) Proc. Natl. Acad. Sci. USA 95: 11020-11025; Dowson-Day and Millar (1999) Plant J 17: 63-71; Green and Tobin (1999) Proc. Natl. Acad. Sci. USA 96: 4176-419; Staiger and Apel (1999) Mol. Gen. Genet. 261: 811-819; Strayer and Kay (1999) Curr. Opin. Plant Biol. 2:114-120; Strayer et. al. (2000) Science 289:768-771; Kreps et al. (2000) J Biol Rhythms (2000) 15:208-217; Nelson et al. (2000) Cell 101:331-340; Somers et al. (2000) Cell 101:319-329.

III.D.2.b. Use of Active Clock Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the clock responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations above and included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Germination and seedling	Cold, light and water modulated	Bognar et al. (1999) Proc.
development	signal transduction pathways,	Natl. Acad. Sci. USA
	receptors, kinases, PAS domain	96: 14652-14657; Sugano et al
		(1999) Proc. Natl. Acad. Sci.
		USA 96: 12362-12366;
		Dowson-Day and Millar
		(1999) Plant J 17: 63-71;
		Somers et al. (2000) Cell
		101: 319-329; Zhong et al.
		(1998) Plant Cell 10: 2005-2017
Growth transitions and	Cold and light modulated signal	Nelson et al. (2000) Cell
flowering	transduction pathways,	101: 331-340; Fowler et al.
	receptors, kinases, PAS domain	(1999) EMBO J. 18: 4679-4688
Tuber formation	Cold and light modulated signal	Yanovsky et al. (2000) Plant
	transduction pathways	J. 23: 223-232
METABOLISM
Lipid metabolism	Membrane lipid synthesis	Bradley and Reddy (1997) J.
	including omega-3 fatty acid	Bacteriol. 179: 4407-4410;
	desaturase, lipases, lipid	Martin, M et al. 1999 Europe
	transfer proteins	J. Biochem 262: 283-290
Sugar metabolism	Glycosylhydrolases,	Liu et al. (1996) Plant
	glycosyltransferases, amylases,	Physiol. 112: 43-51; Millar
	sucrose synthase, CAB,	and Kay (1996) Proc Natl
	Rubisco, light signal	Acad Sci USA 93: 15491-15496;
	transduction	Wang et al. (1997)
		Plant Cell 9: 491-507;
		Shinohara et al (1999) J. Biol.
		Chem. 273: 446-452
Nitrogen metabolism	Aminotransferases, arginase,	Bradley and Reddy (1997) J.
	proteases and vegetative storage	Bacteriol. 179: 4407-4410
	proteins, aromatic amino acid
	synthesis
Photorespiration	Mitochondrial, chloroplast and	Zhong and McClung (1996)
	peroxisomal photorespiratory	Mol. Gen. Genet. 251: 196-203;
	enzymes, serine hydroxymethyl	McClung (1997) Free.
	transferases, catalase	Radic. Biol. Med. 23: 489-496;
		McClung et al. (2000)
		Plant Physiol. 123: 381-392
Responses to Environmental	Expression of genes involved in	McClung (1997) Free Radic
Stress	responses to drought, salt, UV	Biol Med 23: 489-496; Shi et
		al. (2000) Proc. Natl. Acad.
		Sci. USA 97: 6896-6901

Other biological activities that can be modulated by the clock responsive genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Clock responsive genes are characteristically differentially transcribed in response to fluctuations in an entrained oscillator, which is internal to an organism and cell. The MA_diff table(s) report(s) the changes in transcript levels of various clock responsive genes in a plant.

Profiles of clock responsive genes are shown in the table below with examples of which associated biological activities are modulated when the activities of one or more such genes vary in plants.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Responders to	Circadian rhythm	Metabolic enzymes
transcripts	circadian rhythm	perception	Change in cell
	Genes induced by	Metabolisms	membrane structure
	rythm	affected by	and potential
		Circadian rhythm	Kinases and
		Synthesis of	phosphatases
		secondary	Transcription
		metabolites	activators
		and/or proteins	Change in
		Modulation of	chromatin structure
		clock response	and/or localized
		transduction	DNA topology
		pathways	Enzymes in lipid,
		Specific gene	sugar and nitrogen
		transcription	metabolism
		initiation	Enzymes in
			photorespiration
			and photosynthesis
Down-regulated	Responders to	Negative	Transcription
transcripts	circadian rhythm.	regulation of	factors
	Repressors of	circadian	Change in protein
	circadian “state” of	pathways released	structure by
	metabolism	Changes in	phosphorylation
	Genes repressed by	pathways and	(kinases) or
	rhythm	processes	dephosphoryaltion
	Genes with	operating in cells	(phosphatases)
	discontinued	Changes in	Change in
	expression or	metabolism other	chromatin structure
	unsTable mRNA in	than circadian	and/or DNA
	presence of zinc	pathways	topology
			Stability of factors
			for protein
			synthesis and
			degradation
			Metabolic enzymes
			in light, sugar, lipid
			and nitrogen metabolism

Use of Promoters of Clock Responsive Genes

Promoters of Clock responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Clock responsive genes where the desired sequence is operably linked to a promoter of a Clock responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.D.3. Blue Light (Phototropism) Responsive Genes, Gene Components and Products

Phototropism is the orientation or growth of a cell, an organism or part of an organism in relation to a source of light. Plants can sense red (R), far-red (FR) and blue light in their environment and respond differently to particular ratios of these. For example, a low R:FR ratio enhances cell elongation and favors flowering over leaf production, but blue light regulated cryptochromes also appear to be involved in determining hypocotyl growth and flowering time.

Phototropism of Arabidopsis thaliana seedlings in response to a blue light source is initiated by nonphototropic hypocotyl 1 (NPH1), a blue light-activated serine-threonine protein kinase, but the downstream signaling events are not entirely known. Blue light treatment leads to changes in gene expression. These genes have been identified by comparing the levels of mRNAs of individual genes in dark-grown seedlings, compared with in dark grown seedlings treated with 1 hour of blue light. Auxin also affects blue light phototropism. The effect of Auxin on gene expression stimulated by blue light has been explored by studying mRNA levels in a mutant of Arabidopsis thaliana nph4-2, grown in the dark and, treated with blue light for 1 hour compared with wild type seedlings treated similarly. This mutant is disrupted for Auxin-related growth and Auxin-induced gene transcription. Gene expression was studied using microarray technology.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing some 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases over the controls were identified, compared to the Ceres full-length cDNA and genomic sequence databanks, and the equivalent Ceres clones identified. The MA_diff table(s) report(s) the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which represent blue light responsive genes and of those which are blue light responsive in the absence of nph4 gene activity. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Phototropism (relating to SMD 4188, SMD 6617, SMD 6619)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Blue Light genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Blue Light Genes Identified by Cluster Analyses of Differential Expression

Blue Light Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Blue Light genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Phototropism (relating to SMD 4188, SMD 6617, SMD 6619) of the MA_diff table(s).

Blue Light Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Blue Light genes. A group in the MA_clust is considered a Blue Light pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Blue Light Genes Identified by Amino Acid Sequence Similarity

Blue Light genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Blue Light genes. Groups of Blue Light genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Blue Light pathway or network is a group of proteins that also exhibits Blue Light functions/utilities.

III.D.3.a. Use of Blue Light Responsive Genes, Gene Components and Products to Modulate Phenotypes

Changes in blue light in a plant's surrounding environment result in modulation of many genes and gene products. Examples of such blue light response genes and gene products are shown in the REFERENCE and SEQUENCE Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield.

While blue light responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different blue light responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a blue light responsive polynucleotides and/or gene product with other environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress and pathogen induced pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways.

III.D.3.b. Use of Blue Light Responsive Genes, Gene Components and Products to Modulate Phenotypes

Blue light responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in blue light response concentration or in the absence of blue light responsive fluctuations. Further, promoters of blue light responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by blue light or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the blue light responsive genes when the desired sequence is operably linked to a promoter of a blue light responsive gene.

Blue light responsive genes and gene products can be used to alter or modulate one or more phenotypes including growth, roots (elongation or gravitropism) and stems (such as elongation), development of cell (such as growth or elongation), flower (including flowering time), seedling (including elongation), plant yield, and seed and fruit yield.

To regulate any of the phenotype(s) above, activities of one or more of the blue light responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Liscum and Briggs (1995, Plant Cell 7: 473-85), Vitha et al. (2000, Plant Physiol 122: 453-61), Stowe-Evance et al. (1998, Plant Physiol 118: 1265-75), Baum et al. (1999, PNAS USA 96: 13554-9), Huala et al. (1997) Science 278: 2120-2123), Kanegae et al. (2000, Plant Cell Physiol 41: 415-23), Khanna et al. (1999, Plant Mol Biol 39: 231-42), Sakai et al. (2000, Plant Cell 12: 225-36), Parks et al (1996, Plant Physiol 110: 155-62) and Janoudi et al. (1997, Plant Physiol 113: 975-79).

III.D.3.c. Use of Blue Light Responsive Genes, Gene Components and Products to Modulate Biochemical Activities

The activities of one or more of the blue light responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES AND/OR	CITATIONS INCLUDING
PROCESS	PATHWAYS	ASSAYS
Cell Growth and	Cell Elongation	Liscum and Briggs (1995) Plant
Development	Seedling	Cell 7: 473-85
	Stem
	Root	Vitha et al. (2000) Plant Physiol
		122: 453-61
Signalling	UV light Perception	Liscum and Briggs (1996) Plant
		Physiol 112: 291-96
	Far-red/Red light Perception	Parks et al. (1996) Plant Physiol
		110: 155-62
	Phosphorylation of cellular	Liscum and Briggs (1996) Plant
	and nuclear-localized	Physiol 112: 291-96
	proteins
	Activation and Synthesis of	Sakae et al. (2000) Plant Cell 12:
	Transcription Factors	225-36
	Ca+2 levels	Baum et al. (1999) PNAS USA
		96: 13554-9
		Pu and Robinson (1998) J Cell
		Sci 111: 3197-3207
	Auxin Concentration	Estelle (1998) Plant Cell 10:
		1775-8
		Reed et al. (1998) Plant Physiol
		118: 1369-78
	Inter-photoreceptors	Janoudi et al. (1997) Plant
		Physiol 113: 975-79

Other biological activities that can be modulated by blue light response genes and their products are listed in the REF Tables. Assays for detecting such biological activities are described in the Domain section of the REF Table.

The specific genes modulated by blue light, in wild type seedlings and in the mutant deficient in transmitting Auxin effects are given in the Reference and Sequence Tables. The kinds of genes discovered and some of their associated effects are given in the Table below.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Responders to no	Blue light	Transporters
transcripts	blue light in wild type	perception	Metabolic enzymes
	or to blue light in	Metabolism	Change in cell
	mutant lacking Auxin	affected by blue	membrane structure
	effects	light	and potential
		Synthesis of	Kinases and
		secondary	phosphatases
		metabolites and/or	Transcription
		proteins	activators
		Modulation of blue	Change in chromatin
		light transduction	structure and/or
		pathways	localized DNA
		Specific gene	topology
		transcription
		initiation
Down-regulated	Responders to no	Blue light	Transcription factors
transcripts	blue light in wild type	perception	Change in protein
	or to blue light in	Metabolism	structure by
	mutants lacking	affected by blue	phosphorylation
	Auxin effects	light	(kinases) or
	Genes with	Synthesis of	dephosphorylation
	discontinued	secondary	(phosphatases)
	expression or	metabolites and/or	Change in chromatin
	unsTable mRNA	proteins	structure and/or
	during response	Modulation of blue	DNA topology
		light transduction	Stability factors for
		pathways	protein synthesis and
		Specific gene	degradation
		transcription	Metabolic enzymes
		initiation
		Changes in
		pathways and
		processes
		operating in cells
		Changes in
		metabolic
		pathways other
		than phototropic
		blue light
		responsive
		pathways

Use of Promoters of Blue Light Responsive Genes

Promoters of Blue Light responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Blue Light responsive genes where the desired sequence is operably linked to a promoter of a Blue Light responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.D.4 Responsive Genes, Gene Components and Products

There has been a recent and significant increase in the level of atmospheric carbon dioxide. This rise in level is projected to continue over the next 50 years. The effects of the increased level of carbon dioxide on vegetation are just now being examined, generally in large scale, whole plant (often trees) experiments. Some researchers have initiated physiological experiments in attempts to define the biochemical pathways that are either affected by and/or are activated to allow the plant to avert damage from the elevated carbon dioxide levels. A genomics approach to this issue, using a model plant system, allows identification of those pathways affected by and/or as having a role in averting damage due to the elevated carbon dioxide levels and affecting growth. Higher agronomic yields can be obtained for some crops grown in elevated CO₂.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The U.S. Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing about 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in plants grown in higher CO₂ levels compared with plants grown at more normal CO₂ levels, were compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones were identified. The MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones cDNA sequences that change in response to CO₂.

Examples of CO₂ responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix tables, MA_diff and MA_clust tables. While CO₂ responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different CO₂ responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants.

Manipulation of one or more CO₂ responsive gene activities is useful to modulate the biological processes and/or phenotypes listed below. CO₂ responsive genes and gene products can act alone or in combination. Useful combinations include genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways.

CO₂ responsive genes and gene products can function to either increase or dampen the above phenotypes or activities. Further, promoters of CO₂ responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by CO₂ or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the CO₂ responsive genes when the desired sequence is operably linked to a promoter of a CO₂ responsive gene. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: CO2 (relating to SMD 7561, SMD 7562, SMD 7261, SMD 7263, SMD 3710, SMD 4649, SMD 4650)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

CO2 genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

CO2 Genes Identified by Cluster Analyses of Differential Expression

CO2 Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of CO2 genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID CO2 (relating to SMD 7561, SMD 7562, SMD 7261, SMD 7263, SMD 3710, SMD 4649, SMD 4650) of the MA_diff table(s).

CO2 Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of CO2 genes. A group in the MA_clust is considered a CO2 pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

CO2 Genes Identified by Amino Acid Sequence Similarity

CO2 genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis CO2 genes. Groups of CO2 genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a CO2 pathway or network is a group of proteins that also exhibits CO2 functions/utilities.

III.D.4.a. Use of Co2 Responsive Genes to Modulate Phenotypes

CO₂ responsive genes and gene products are useful to or modulate one or more phenotypes including catabolism, energy generation, atp, etc., metabolism, carbohydrate synthesis, growth rate, whole plant, including height, flowering time, etc., organs, flowers, fruits, stems, leaves, roots, lateral roots, biomass, fresh and dry weight during any time in plant life, such as maturation; number, size, and weight of flowers; seeds; branches; leaves; total plant nitrogen content, amino acid/protein content of whole plant or parts, seed yield (such as number, size, weight, harvest index, and content and composition, e.g., amino acid, nitrogen, oil, protein, and carbohydrate); fruit yield; number, size, weight, harvest index; content and composition, e.g., amino acid, nitrogen, oil, protein, carbohydrate, water; and photosynthesis (such as carbon dioxide fixation).

To improve any of the phenotype(s) above, activities of one or more of the CO₂ responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Saito et al. (1994, Plant Physiol. 106: 887-95), Takahashi et al (1997, Proc. Natl. Acad. Sci. USA 94: 11102-07) and Koprivova et al. (2000, Plant Physiol. 122: 737-46).

III.D.2. Use of CO₂ Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the CO₂ responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES AND/OR	CITATIONS INCLUDING
GENERAL CATEGORY	PATHWAYS	ASSAYS
Cell Division	Cell Cycle Control Genes	Masle (2000) Plant
		Physiol. 122: 1399-1415
Starch Biosynthesis	Starch Biosynthesis	Ludewig et al., (1998)
	Enzymes And Pathways	FEBS Lett. 429: 147-151
Photosynthesis	Photosynthetic Enzymes,	Cheng et al., (1998) Plant
	e.g., Rubisco	Physiol 166: 715-723
Respiration	Energy Metabolism	Musgrave et al., (1986)
	Pathways	Proc. Natl. Acad. Sci. USA
		83: 8157-8161
CO2 Uptake	Guard Cell Stomata	Allen et al., Plant Cell
	Control Systems	(1999) 11(9): 1785-1798
		Ichida et al., Plant Cell
		(1997) 9(10): 1843-1857
		Hedrich et al., EMBO J
		(1993) 12(3): 897-901
Coordination Of Carbon	Light-Regulation Of Major	Lam et al. (1998) Plant J.
And Nitrogen Metabolism	Central Carbon And	16(3): 345-353
	Nitrogen Metabolic	Lejay et al. (1999) Plant J.
	Pathways To Coordinate	18(5): 509-519; and
	Growth	Oliveira et al. (1999) Plant.
		Phys. 121: 301-309
	Carbohydrate And	Lam et al. (1998) supra;
	Nitrogen Control Of	Lejay et al. (1999) supra;
	Carbohydrate And Organic	and
	Nitrogen Accumulation	Oliveira et al. (1999) supra
	Pathways

Other biological activities that can be modulated by the CO₂ responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

CO₂ responsive genes are characteristically differentially transcribed in response to fluctuating CO₂ levels or concentrations, whether internal or external to an organism or cell. The MA_diff tables report the changes in transcript levels of various CO₂ responsive genes that are differentially expressed in response to high CO₂ levels.

Profiles of these different CO₂ responsive genes are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
TRANSCRIPT	TYPE OF	PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	GENES	CONSEQUENCES	ACTIVITY
Up Regulated	Responders	Changes In Generation Of	Transporters
Transcripts	To Higher	ATP	Catabolic And
	Levels Of	Changes In Catabolism	Anabolic Enzymes
	CO2	And Anabolism Enzymes	Change In Cell
	Genes	and Pathways	Membrane Structure
	Induced By	Activation Of Krebs Cycle	And Potential
	CO2	Specific Gene	Kinases And
		Transcription Initiation	Phosphatases
		Changes In Carbohydrate	Transcription
		Synthesis	Activators And
		Changes In Chloroplast	Repressors
		Structure	Change In
		Changes In Photosynthesis	Chromatin Structure
		Changes In Respiration	And/Or Localized
			DNA Topology
			Redox Control
Down-	Responders	Changes In Pathways And	Transcription
Regulated	To Higher	Processes Operating In	Factors
Transcripts	Levels Of	Cells	Change In Protein
	CO2	Changes In Catabolism and	Structure By
	Genes	Anabolism	Phosphorylation
	Repressed By	Changes in Chloroplast	(Kinases) Or
	CO2	Structure	Dephosphorylation
			(Phosphatases)
			Change In
			Chromatin Structure
			And/Or DNA
			Topology
			Stability Of Factors
			For Protein
			Synthesis And Degradation
			Metabolic Enzymes

Use of Promoters of CO2 Responsive Genes

Promoters of CO2 responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the CO2 responsive genes where the desired sequence is operably linked to a promoter of a CO2 responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.D.5. Mitochondria Electron Transport (Respiration) Genes, Gene Components and Products

One means to alter flux through metabolic pathways is to alter the levels of proteins in the pathways. Plant mitochondria contain many proteins involved in various metabolic processes, including the TCA cycle, respiration, and photorespiration and particularly the electron transport chain (mtETC). Most mtETC complexes consist of nuclearly-encoded mitochondrial proteins (NEMPs) and mitochondrially-encoded mitochondrial proteins (MEMPs). NEMPs are produced in coordination with MEMPs of the same complex and pathway and with other proteins in multi-organelle pathways. Enzymes involved in photorespiration, for example, are located in chloroplasts, mitochondria, and peroxisomes and many of the proteins are nuclearly-encoded. Manipulation of the coordination of protein levels within and between organelles can have critical and global consequences to the growth and yield of a plant. Genes which are manipulated by interfering with the mtETC have been characterized using microarray technology.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing about 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in the presence of the ETC inhibitor, 10 mM antimycin A compared with the control lacking antimycin A. were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones identified. The MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones that represent respiration responsive genes.

Examples of genes and gene products that are responsive to antimycin A block of respiration are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff and MA_clust tables. While respiration responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different respiration responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. Manipulation of one or more respiration responsive gene activities are useful to modulate the biological processes and/or phenotypes listed below.

Such respiration responsive genes and gene products can function to either increase or dampen the phenotypes or activities below. Further, promoters of respiration responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by respiration or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the respiration responsive genes when the desired sequence is operably linked to a promoter of a respiration responsive gene. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Mitchondria-Electron Transport (relating to SMD 8061, SMD 8063)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Mitchondria-Electron Transport genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Mitchondria-Electron Transport Genes Identified by Cluster Analyses of Differential Expression

Mitchondria-Electron Transport Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Mitchondria-Electron Transport genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Mitchondria-Electron Transport (relating to SMD 8061, SMD 8063) of the MA_diff table(s).

Mitchondria-Electron Transport Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Mitchondria-Electron Transport genes. A group in the MA_clust is considered a Mitchondria-Electron Transport pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Mitchondria-Electron Transport Genes Identified By Amino Acid Sequence Similarity

Mitchondria-Electron Transport genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Mitchondria-Electron Transport genes. Groups of Mitchondria-Electron Transport genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Mitchondria-Electron Transport pathway or network is a group of proteins that also exhibits Mitchondria-Electron Transport functions/utilities.

III.D.5.a. Use of Respiration Responsive Genes to Modulate Phenotypes

Respiration responsive genes and gene products are useful to or modulate one or more phenotypes including catabolism; energy generation, ATP, etc.; growth rate; whole plant, including height, flowering time, etc.; organs; flowers; fruits; stems; leaves; roots, lateral roots; biomass; fresh and dry weight during any time in plant life, such as maturation; number, size, and weight of flowers; seeds; branches; leaves; total plant nitrogen content; amino acid/protein content of whole plant or parts; seed yield (such as number, size weight, harvest index, and content and composition, e.g., amino acid, nitrogen, oil, protein, and carbohydrate); fruit yield; number, size, weight, harvest index; content and composition, e.g., amino acid, nitrogen, oil, protein, carbohydrate, water; and photosynthesis (such as carbon dioxide fixation).

To improve any of the phenotype(s) above, activities of one or more of the respiration responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Saito et al. (1994, Plant Physiol. 106: 887-95), Takahashi et al (1997, Proc. Natl. Acad. Sci. USA 94: 11102-07) and Koprivova et al. (2000, Plant Physiol. 122: 737-46).

III.D.5.b. Use of Respiration-Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the respiration responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS
PROCESS	AND/OR PATHWAYS	INCLUDING ASSAYS
Respiration and	Mitochondrial Electron	Passam et al. (1973)
energy-related	Transport Chain	Biochem Biophys. Acta
processes		325: 54-61
	Alternative oxidase pathway	Saisho et al. (1997) Plant
		Mol. Biol. 35: 585-600
		Vanlerberghe and
		McIntosh (1994) Plant
		Physiol. 105: 867-874
	ATP generation pathways	Mahler and Cordes (1966)
	ATP utilization pathways	In Biological Chemistry,
		Harper and Row
	Chloroplast energy related	Foyer et al. (1989) Arch.
	pathways	Biochem. Biophys. 268:
		687-697
		Mills et al. (1978)
		Biochem. Biophys. Acta
		504: 298-309
	Peroxisome energy related	Olsen (1998) Plant mol.
	pathways	Biol. 38: 163-89
	Cytoplasmic energy related	Roberts et al. (1995) Febs Letters
	pathways	373: 307-309
	Catabolism and Anabolism	Mahler and Cordes (1966) In
		Biological Chemistry, Harper and
		Row
	Aerobic versus anaerobic	Mahler and Cordes (1966) In
	pathways	Biological Chemistry, Harper and
		Row
Coordination of	Light-regulation of major	Lam et al. (1998) Plant J. 16(3):
Carbon and Nitrogen	central carbon and nitrogen	345-353
Metabolism	Metabolic pathways to	Lejay et al. (1999) Plant J. 18(5):
	coordinate growth	509-519; and
		Oliveira et al. (1999) Plant. Phys.
		121: 301-309
	Carbohydrate and nitrogen	Lam et al. (1998) Plant J. 16(3):
	control of carbohydrate and	345-353
	organic nitrogen accumulation	Lejay et al. (1999) Plant J. 18(5):
	pathways	509-519; and
		Oliveira et al. (1999) Plant. Phys.
		121: 301-309

Other biological activities that can be modulated by the respiration genes and gene products are listed in the REF Tables. Assays for detecting such biological activities are described in the Protein Domain table.

Respiration responsive genes are differentially expressed in response to inhibition of mitochondrial electron transport by antimycin A. The MA_diff table reports the changes in transcript levels of various respiration responsive genes that are differentially expressed in response to this treatment.

Profiles of these different respiration genes are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Responders to	Changes in	Transporters
transcripts	inhibition of	generation of ATP	Catabolic and
	mitochondrial	Alternate oxidase	anabolic enzymes
	electron transport	induction	Changes in cell
	respiration	Changes in	and organelle
	Genes induced by	catabolic and	membrane
	inhibition of	anabolic enzymes	structures and
	mitochondrial	and pathways	potentials
	electron transport	Specific gene	Kinases and
		transcription	phosphatases
		initiation	Transcription
		Changes in electron	activators
		transport proteins	Change in
			chromatin
			structure and/or
			localized DNA
			topology
			Redox control
Down-regulated	Responders to	Changes in ATP	Transcription
transcripts	inhibition of	generating	factors
	mitochondrial	pathways	Change in protein
	electron transport	Changes in	structure by
	Genes repressed by	pathways and	phosphorylation
	inhibition of	processes operating	(kinases) or
	mitochondrial	in cells	dephosphoryaltion
	electron transport	Induction of	(phosphatases)
		aerobic pathways	Transporters
		Changes in	Catabolic and
		catabolism and	anabolic enzymes
		anabolism	Changes in cell
			and organelle
			membrane
			structures and
			potentials
			Change in
			chromatin
			structure and/or
			localized DNA
			topology
			changes
			Stability factors
			for protein
			synthesis and
			degradation
			Metabolic
			enzymes
		Changes in redox	Changes in redox enzymes
		activities

Use of Promoters of Respiration Genes

Promoters of Respiration genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Respiration genes where the desired sequence is operably linked to a promoter of a Respiration gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.D.6. Protein Degradation Genes, Gene Components and Products

One of the components of molecular mechanisms that operate to support plant development is the “removal” of a gene product from a particular developmental circuit once the substrate protein is not functionally relevant anymore in temporal and/or spatial contexts. The “removal” mechanisms can be accomplished either by protein inactivation (e.g., phosphorylation or protein-protein interaction) or protein degradation most notably via ubiquitination-proteasome pathway. The ubiquitination-proteasome pathway is responsible for the degradation of a plethora of proteins involved in cell cycle, cell division, transcription, and signal transduction, all of which are required for normal cellular functions. Ubiquitination occurs through the activity of ubiquitin-activating enzymes (E1), ubiquitin-conjugating enzymes (E2), and ubiquitin-protein ligases (E3), which act sequentially to catalyze the attachment of ubiquitin (or other modifying molecules that are related to ubiquitin) to substrate proteins (Hochstrasser 2000, Science 289: 563). Ubiquitinated proteins are then routed to proteasomes for degradation processing [2000, Biochemistry and Molecular Biology of Plants, Buchanan, Gruissem, and Russel (eds), Amer. Soc. of Plant Physiologists, Rockville, Md.]. The degradation mechanism can be selective and specific to the concerned target protein (Joazeiro and Hunter 2001, Science 289: 2061; Sakamoto et al., 2001, PNAS Online 141230798). This selectivity and specificity may be one of the ways that the activity of gene products is modulated.

III.D.6.a. Identification of Protein Degradation Genes Gene Components and Products

“Protein degradation” genes identified herein are defined as genes, gene components and products associated with or dependant on the ubiquitination—proteasome protein degradation process. Examples of such “protein degradation” genes and gene products are shown in the Reference and Sequence Tables. The biochemical functions of the protein products of many of these genes are also given in the Reference, Sequence, Protein Group, Protein Group Matrix tables, MA_diff and MA_clust tables. Selected genes, gene components and gene products of the invention can be used to modulate many plant traits from architecture to yield to stress tolerance.

“Protein Degradation” Genes, Gene Components and Products Identified by Phenotypic Observations

“Protein degradation” genes herein were discovered and characterized from a much larger set of genes in experiments designed to find the genes associated with the increased number of lateral branches (and secondary inflorescences) that are formed per cauline node. In these experiments, “protein degradation” genes were identified using a mutant with these characteristics. The gene causing the changes was identified from the mutant gene carrying an inserted tag. The mutant plant was named 13B12-1 and the mutant was in the E2 conjugating enzyme gene of the ubiquitination process. Compared to “wild-type” parental plants, the mutant plants exhibited multiple lateral stems per node and multi-pistillated flowers. For more experimental detail, see Example section below.

Protein Degradation Genes, Gene Components and Products Identified by Differential Expression

“Protein degradation” genes were also identified by measuring the relative levels of mRNA products in the mutant plant 13B12-1 lacking the E2 conjugating enzyme versus a “wild-type” parental plant. Specifically, mRNAs were isolated from 13B12-1 and compared with mRNAs isolated from wild-type plants utilizing microarray procedures. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108451). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Protein Degradation genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Protein Degradation Genes Identified by Cluster Analyses of Differential Expression

Protein Degradation Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Protein Degradation genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108451 of the MA_diff table(s).

Protein Degradation Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Protein Degradation genes. A group in the MA_clust is considered a Protein Degradation pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Protein Degradation Genes Identified By Amino Acid Sequence Similarity

Protein Degradation genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Protein Degradation genes. Groups of Protein Degradation genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Protein Degradation pathway or network is a group of proteins that also exhibits Protein Degradation functions/utilities.

These differentially expressed genes include genes associated with the degradation process and the genes whose expression is disturbed by the aberrant ubiquitination.

Examples of phenotypes, biochemical activities, and transcription profiles that can be modulated using these genes, gene components and gene products are described above and below.

III.D.6.b. Use of “Protein Degradation” Genes, Gene Components and Products to Modulate Phenotypes

The “protein degradation” genes, their components and products of the instant invention are useful for modulating one or more processes required for post-translational modification (e.g., ubiquitination) and degradation or inactivation of substrate proteins and also the pathways and processes that are associated with protein inactivation that are important for either or all of the following: (i) cell proliferation; (ii) cell differentiation; and (iii) cell death. The “protein degradation” genes, gene components and gene products are useful to alter or modulate one or more phenotypes including cell proliferation and cell size.

The intracellular levels of many proteins are regulated by ubiquitin-proteasome proteolysis. Without proper regulation of protein levels, normal cell differentiation can be altered. Examples of cell differentiation and development can be modulated by the genes and gene products of this invention include root size (such as length of primary roots or length of lateral roots) and function; branching and stem formation (such as multiple pistils, multiple lateral stems or secondary inflorescence per cauline node, and internode length) and cell differentiation and/or development in response to hormones (such as Auxin).

Programmed cell death can result from specific and targeted degradation of critical substrate proteins (e.g., transcription factors, enzymes, and proteins involved in signal transduction). Thus, alteration of “protein degradation” genes, their gene products, and the corresponding substrate proteins that they are acting upon are useful to modulate the vigor and yield of the plant overall as well as distinct cells, organs, or tissues. Traits that can be modulated by these genes and gene products include sterility or reproduction and seedling lethality.

Uses of Plants that are Modified as Described Above

Genes that control fundamental steps in regulatory pathways, such as protein inactivation, that in turn influence cascades and networks of other genes and processes are extremely useful. They and their component parts can be used selectively to manipulate development in specific cells, tissues and organs, including meristems when genes are designed to inactivate the normal genes only in specific cells, tissues and organs or to promote protein production where it is not normally produced. They can also be used to promote/control cell death.

Other “protein degradation” genes described here are components of the pathways determining organ identity and phenotypes. These and their component parts are also useful for modifying the characteristics of specific cells, tissues and organs when regulated appropriately. Thus “protein degradation” genes have wide utility for achieving the following: better plant survival by decreased lodging; better responses to high plant density; better stress tolerance; better animal (including human) nutrition values; improved dietary mineral nutrition; more vigor, growth rate and yield in terms of biomass; root/tuber yield (in terms of number, size, weight, or harvest index); content and composition, e.g. amino acid, jasmonate, oil, protein and starch; number of flowers; seed yield (e.g. number, size, weight, harvest index, content and composition, e.g. amino acid, jasmonate, oil, protein and starch); and fruit yield (e.g. number, size, weight, harvest index, post harvest quality, content and composition, e.g. amino acid, jasmonate, oil, protein and starch).

To regulate any of the phenotype(s) above, activities of one or more of the “protein degradation” genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. In addition, a synthetic molecule containing specific domains from “protein degradation” genes or gene product and/or in combination with other domains from gene products that are not necessarily related to protein degradation pathway can be constructed to target the degradation or inactivation of specific substrate proteins. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Dolan et al. (1993, Development 119: 71-84), Dolan et al. (1997, Development 124: 1789-98), Crawford and Glass (1998, Trends Plant Science 3: 389-95), Wang et al. (1998, PNAS USA 95: 15134-39), Gaxiola et al. (1998, PNAS USA 95: 4046-50), Apse et al. (1999, Science 285: 1256-58), Fisher and Long (1992, Nature 357: 655-60), Schneider et al. (1998, Genes Devel 12: 2013-21) and Hirsch (1999, Curr Opin Plant Biol. 2: 320-326).

Use of Protein Degradation Genes, Gene Components and Products to Modulate Biochemical Activities

One or more of the “protein degradation” genes and their components can be used to modulate biochemical or metabolic activities, processes and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth, Differentiation and	Auxin response	Schwechheimer et al, Science 292:
Development		1379 (2001);
		Leyser et al, Nature 8: 161 (1993);
		Lasswell et al, Plant Cell 12: 2395
		(2000)
	Photomorphogenesis via leaf	Schwechheimer et al, Science 292:
	cells and meristems	1379 (2001)
	Apical dominance via shoot	Schwechheimer et al, Science 292:
	meristems	1379 (2001)
	Lateral root development via root	Xie et al, Genes Dev 14: 3024
	meristem	(2000)
	Hypocotyl, shoot elongation by	Nagpal et al, Plant Physiol 123: 563
	hormone controlled process	(2000)
Gene Expression and related	mRNA stability	Johnson et al, PNAS 97: 13991
cellular processes		(2000);
	Gene activation	Pham and Sauer, 289: 2357 (2000)
	Cell division and cell cycle	King et al, Cell 81: 279 (1995);
	control in meristems	Ciechanover et al, Cell 37: 57
		(1984);
		Finley et al, Cell 37: 43 (1984);
		Robzyk et al, Science 287: 501
		(2000)
	Chromatin remodeling	Roest et al, Cell 86: 799 (1996)
	Post-translational modification	Biederer et al, Science 278: 1806
	and organelle targeting of	(1997)
	proteins

Other biological activities that can be modulated by the “protein degradation” gene, gene components and products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

III.D.6.d. Use of Protein Degradation Genes, Gene Components and Products to Modulate Transcription Levels of Other Genes

The expression of many genes is “up regulated” or “down regulated” in the 13B12-1 mutant because some protein degradation genes and their products are integrated into complex networks that regulate transcription of many other genes. Some protein degradation genes are therefore useful for modifying the transcription of other genes and hence complex phenotypes, as described above. Profiles of “protein degradation” genes are described in the Table below with associated biological activities. “Up-regulated” profiles are those where the gene produces mRNA levels that are higher in the 13B12-1 as compared to wild-type plant; and vice-versa for “down-regulated” profiles.

			EXAMPLES OF
	TYPE OF GENES	PHYSIOLOGICAL	BIOCHEMICAL
	WHOSE	CONSEQUENCES OF	ACTIVITIES WHOSE
TRANSCRIPT	TRANSCRIPTS	MODIFYING GENE	TRANSCRIPTS ARE
LEVELS	ARE CHANGED	PRODUCT LEVELS	CHANGED
Up Regulated	Genes induced as	Shoot formation	Transcription
Transcripts	a consequence of	Lateral stem, lateral	Activators and
	mutant	and main	Repressors
	ubiquitination	inflorescence	Chromatin Structure
	degradation	development	and/or Localized
	system	Internode	DNA Topology
	Genes repressed	elongation	determining proteins
	by “protein	Node determination	Methylated DNA
	degradation”	and development	binding proteins
	system directly or	Root formation	Kinases,
	indirectly	Lateral root	Phosphatases
	Genes repressed	development	Signal transduction
	or mRNAs	Proper response to	pathway proteins
	degraded as a	Auxin and other	Transporters
	consequence of	growth regulators	Metabolic Enzymes
	mutant	Seed dormancy and	Cell cycle
	ubiquitination	seed development	checkpoint proteins
	degradation	Resistance to	Cell Membrane
	process	drought and other	Structure And
		forms of stress	Proteins
		Secondary	Cell Wall Proteins
		metabolite	Proteins involved in
		biosynthesis	secondary
			metabolism
			Seed storage
			metabolism
Down Regulated	Genes activated
Transcripts	by “protein
	degradation”
	systems directly
	or indirectly

“Protein degradation” genes and gene products can be modulated alone or in combination as described in the introduction. Of particular interest are combination of these genes and gene products with those that modulate hormone responses and/or metabolism. Hormone responsive and metabolism genes and gene products are described in more detail in the sections above. Such modification can lead to major changes in plant architecture and yield.

Use of Promoters and “Protein Degradation Genes, Gene Components and Products”

Promoters of “protein degradation” genes, as described in the Reference tables, for example, can be used to modulate transcription of any polynucleotide, plant or non plant to achieve synthesis of a protein in association with production of the ubiquitination-proteasome pathway or the various cellular systems associated with it. Additionally such promoters can be used to synthesize antisense RNA copies of any gene to reduce the amount of protein product produced, or to synthesize RNA copies that reduce protein formation by RNA interference. Such modifications can make phenotypic changes and produce altered plants as described above.

III.D.7. Carotenogenesis Responsive Genes, Gene Components and Products

Carotenoids serve important biochemical functions in both plants and animals. In plants, carotenoids function as accessory light harvesting pigments for photosynthesis and to protect chloroplasts and photosystem II from heat and oxidative damage by dissipating energy and scavenging oxygen radicals produced by high light intensities and other oxidative stresses. Decreases in yield frequently occur as a result of light stress and oxidative stress in the normal growth ranges of crop species. In addition light stress limits the geographic range of many crop species. Modest increases in oxidative stress tolerance would greatly improve the performance and growth range of many crop species. The development of genotypes with increased tolerance to light and oxidative stress would provide a more reliable means to minimize crop losses and diminish the use of energy-costly practices to modify the soil environment.

In animals carotenoids such as beta-carotene are essential provitamins required for proper visual development and function. In addition, their antioxidative properties are also thought to provide valuable protection from diseases such as cancer. Modest increases in carotenoid levels in crop species could produce a dramatic effect on plant nutritional quality. The development of genotypes with increased carotenoid content would provide a more reliable and effective nutritional source of Vitamin A and other carotenoid derived antioxidants than through the use of costly nutritional supplements.

Genetic changes produced through DNA mutation in a plant can result in the modulation of many genes and gene products. Examples of such mutation altered genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor, nutritional content and seed yield.

While carotenoid synthesis and/or oxidative stress responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different carotenoid biosynthetic polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of an carotenoid synthesis or oxidative stress protective polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in a common pathway.

Such carotenoid synthesis/oxidative stress tolerance genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in light intensity or in the absence of osmotic fluctuations. They were discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA products participate in carotenogenesis. These experiments made use of an Arabidopsis mutant (Or) having an accumulation of up to 500 times more beta-carotene than wild-type in non-photosynthetic tissues.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The USArabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing some 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in the mutant plant compared with wild type seedlings were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones identified. MA_diff Table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which represent Carotenoid synthesis/oxidative stress tolerance responsive genes. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Cauliflower (relating to SMD 5329, SMD 5330)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Carotenogenesis genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA diff tables with a “+” or “−” indication.

Carotenogenesis Genes Identified by Cluster Analyses of Differential Expression

Carotenogenesis Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Carotenogenesis genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Cauliflower (relating to SMD 5329, SMD 5330) of the MA_diff table(s).

Carotenogenesis Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Carotenogenesis genes. A group in the MA_clust is considered a Carotenogenesis pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Carotenogenesis Genes Identified by Amino Acid Sequence Similarity

Carotenogenesis genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Carotenogenesis genes. Groups of Carotenogenesis genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Carotenogenesis pathway or network is a group of proteins that also exhibits Carotenogenesis functions/utilities.

III.D.7.a. Use of Carotenoid Synthesis/Oxidative Stress Tolerance Responsive Genes, Gene Components and Products to Modulate Phenotypes

Carotenoid synthesis/oxidative, stress tolerance genes and gene products are useful to or modulate one or more phenotypes including growth rate; whole plant, including height, flowering time, etc.); seedling; organ (such as stem, leaves, roots, flowers, fruits, or seed yield, size, or weight); seed development; embryo; germination; cell differentiation; chloroplasts; plant nutrition; uptake and assimilation of organic compounds; uptake and assimilation of inorganic compounds; animal (including human) nutrition; improved dietary mineral nutrition; stress responses; drought; cold; and osmotic.

To improve any of the phenotype(s) above, activities of one or more of the Carotenoid synthesis/oxidative stress tolerance genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Friedrich, (1999, JAMA 282: 1508), Kumar et al. (1999, Phytochemistry 51: 847-51), La Rocca et al. (2000, Physiologia Plantarum 109: 51-7) and Bartley (1994, In: Ann Rev Plant Physiol Plant Molec Biol, Jones and Somerville, eds, Annual Reviews Inc, Palo Alto, Calif.).

III.D.7.b. Use of Carotenoid Synthesis/Oxidative Stress Tolerance Responsive Genes, Gene Components and Products to Modulate Biochemical Activities

The activities of one or more of the carotenoid synthesis/oxidative stress tolerance genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth,	Chloroplast biosynthesis	Kumar et al. (1999) Phytochemistry
Differentiation		51: 847-51
and Development		Fraser et al. (1994) Plant Physiol
		105: 405-13
Metabolism	Carotenoid biosynthesis	Kumar et al. (1999) Phytochemistry
		51: 847-51
	Herbicide resistance	La Rocca et al. (2000) Physiolgia
		Plantarum 109: 51-57
	Regulate abscisic acid levels	Tan et al. (1997) PNAS USA 94:
		12235-40
	Drought, cold and osmotic	Tan et al. (1997) PNAS USA 94:
	tolerance	12235-40

Other biological activities that can be modulated by the Carotenoid synthesis, oxidative stress tolerance genes and gene products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Protein Domain table.

Profiles of these different carotenoid synthesis/oxidative stress tolerance responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Genes induced during	Gene	Transporters
transcripts	carotenoid synthesis/	Repression/Induction	Metabolic
	oxidative stress	activity	enzymes
	tolerance activity	Cell cycle progression	Kinases and
		Chromatin	phosphatases
		condensation	Transcription
		Synthesis of	activators
		metabolites and/or	Change in
		proteins	chromatin
		Modulation of	structure and/or
		transduction pathways	localized DNA
		Specific gene	topology
		transcription initiation
Down-regulated	Genes repressed	Gene	Transcription
transcripts	during carotenoid	repression/induction	factors
	synthesis/oxidative	activity	Change in
	stress tolerance	Changes in pathways	protein structure
	activity	and processes	by
	Genes with	operating in cells	phosphorylation
	discontinued	Changes in	(kinases) or
	expression or	metabolism other than	dephosphorylation
	unsTable mRNA in	carotenoid	(phosphatases)
	conditions of reduced	synthesis/oxidative	Change in
	carotenoid	stress tolerance	chromatin
	synthesis/oxidative		structure and/or
	stress tolerance		DNA topology
			Stability of
			factors for
			protein synthesis
			and degradation
			Metabolic
			enzymes

Use of Promoters of Carotenogenesis Responsive Genes

Promoters of Carotenogenesis responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Carotenogenesis responsive genes where the desired sequence is operably linked to a promoter of a Carotenogenesis responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.D.8. Viability Genes, Gene Components and Products

Plants contain many proteins and pathways that when blocked or induced lead to cell, organ or whole plant death. Gene variants that influence these pathways can have profound effects on plant survival, vigor and performance. The critical pathways include those concerned with metabolism and development or protection against stresses, diseases and pests. They also include those involved in apoptosis and necrosis. The applicants have elucidated many such genes and pathways by discovering genes that when inactivated lead to cell or plant death.

Herbicides are, by definition, chemicals that cause death of tissues, organs and whole plants. The genes and pathways that are activated or inactivated by herbicides include those that cause cell death as well as those that function to provide protection. The applicants have elucidated these genes.

The genes defined in this section have many uses including manipulating which cells, tissues and organs are selectively killed, which are protected, making plants resistant to herbicides, discovering new herbicides and making plants resistant to various stresses.

III.D.8.a. Identification of Viability Genes, Gene Components and Products

Viability genes identified here are defined as genes, gene components and products capable of inhibiting cell, tissue, organ or whole plant death or protecting cells, organs and plants against death and toxic chemicals or stresses. Examples of such viability genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix tables, MA_diff, MA_clust, Knock-in and Knock-out tables. The biochemical functions of the protein products of many of these genes determined from comparisons with known proteins are also given in the Reference tables.

Viability Genes, Gene Components and Products Identified by Phenotypic Observations

These genes were discovered and characterized from a much larger set of genes by experiments designed to find genes that cause serious disturbances in progeny survival, seed germination, development, embryo and/or seedling growth. In these experiments, viability genes were identified by either (1) ectopic expression of a cDNA in a plant or (2) mutagenesis of a plant genome. The plants were then cultivated and one or more of the following phenotypes, which varied from the parental wild-type was observed:

• • A. Gametophytic loss of progeny seedlings (detected from a parent on the basis of a linked herbicide resistance gene showing abnormal segregation ratios, as revealed by treating with herbicide)
  • B. Embryo death, resulting in some cases to loss of seed
  • C. Pigment variation in cotyledons and leaves, including absence of chlorophyll, which leads to seedling death.
    • 1. Abinos
    • 2. Yellow/greens
  • D. Cotyledons produced but no or few leaves and followed by seedling death.
  • E. Very small plantlets

The genes identified in these experiments are shown in Tables X.

Viability Genes Gene Components and Products Identified by Differential Expression

Viability genes were also identified from a much larger set of genes by experiments designed to find genes whose mRNA products changed in concentration in response to applications of different herbicides to plants. Viability genes are characteristically differentially transcribed in response to fluctuating herbicide levels or concentrations, whether internal or external to an organism or cell. The MA_diff Table reports the changes in transcript levels of various viability genes in entire seedlings at 0, 4, 8, 12, 24, and 48 hours after a plant was sprayed with a Hoagland's nutrient solution enriched with either 2,4 D (Trimec), Glean, Grassgetter, Roundup, or Finale herbicides as compared to seedlings sprayed with Hoagland's solution only.

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108467, 107871, 107876, 108468, 107881, 108465, 107896, 108466, 107886, 107891, 108501). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Viability genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Viability Genes Identified by Cluster Analyses of Differential Expression

Viability Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Viability genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108467, 107871, 107876, 108468, 107881, 108465, 107896, 108466, 107886, 107891, 108501 of the MA_diff table(s).

Viability Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Viability genes. A group in the MA_clust is considered a Viability pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Viability Genes Identified by Amino Acid Sequence Similarity

Viability genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Viability genes. Groups of Viability genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Viability pathway or network is a group of proteins that also exhibits Viability functions/utilities.

It is assumed that those gene activity changes in response to the toxic herbicides are either responsible, directly or indirectly, for cell death or reflect activation of defense pathways. These genes are therefore useful for controlling plant viability.

Examples of phenotypes, biochemical activities, or transcript profiles that can be modulated using selected viability gene components are described above and below.

III.D.8.b. Use of Viability Genes, Gene Components and Products to Modulate Phenotypes

Deficiencies in viability genes can cause cell death at various rates and under various conditions. Viability genes can be divided into two classes; (1) those that lead to cell death under permissive growth conditions and (2) those that cause cell demise under restrictive conditions. Examples of the first class are viability genes which encode toxins or which participate in the programmed cell death pathway(s). Disruption of metabolic pathways, such as amino acid synthesis, may not cause death when the cell is supplemented with appropriate amino acids, but can cause death under more restrictive conditions.

Some deficiencies in viability genes identified cause the organism as a whole to die, while other genes cause death only of a specific subset of cells or organs. For example, genes identified from embryo viability phenotypes can cause an entire organism to die. In contrast, genes characterized from gametophytic lethals may inhibit cell growth only in a select set of cells. In addition, some viability genes may not cause an immediate demise. A seedling lethal phenotype is one such example, where a seed germinates and produces cotyledons but the plant dies before producing any true leaves. Yellow-green pigment mutants provide yet another set of examples. In some cases, the plant produces a number of yellow-green leaves but dies before producing any seed, due in part, to the necessity to produce chlorophyll in functioning chloroplasts to fix CO₂.

Viability genes, in which mutational deficiencies lead to death, carry no duplicates in the haploid plant genome. They thus may be especially likely to promote viability and vigor when expressed more optimally in a plant, in specific tissues or throughout the plant.

Proteins which lead to death when inactivated, and other proteins in the pathways in which they act, are potential targets for herbicides. In this kind of application, chemicals specifically capable of interacting with such proteins are discovered. Typically, this could be done by designing a gene involving the relevant viability gene, that also facilitates a rapid easily measured assay for the functioning of the protein product, and treating plants containing the new genes with the potential herbicides. Those chemicals specifically interfering with the protein activity can then easily be selected for further development.

Genes whose products interact directly with a herbicide can also be modified such that the herbicide no longer inactivates the protein. Such genes are useful for making herbicide resistant plants, valuable in agriculture.

Many of the genes activated or inactivated by the herbicides define genes involved in the pathways that protect the plant against damage and stresses. These genes and gene components, especially those regulating such pathways, are especially useful for enhancing the ability of plants to withstand specific stresses, including herbicides. [See the sections on Stress responsive genes, gene components and products.]

Genes that cause cellular death can be used to design new genes that cause death of specific cells and tissues and hence new valuable products. For example, activation of genes causing death in cells specifying seeds can be used to produce fruits lacking seeds. They can also be used to prevent cell death by pathogens and pests.

The genes and gene components of the instant invention are useful to modulate one or more processes that affect viability and vigor at the (1) cellular level; (2) organelle level; (3) organ level; or (4) overall organism level.

Phenotypes that are modulated by these genese and gene components include (1) at the cellular level: cell size, cell differentiation, cell division, cell longevity, cell position, and cytotoxins; (2) at the organelle level: chloroplasts and/or mitochondria; (3) at the organ level: flower number or size; seed size, number or composition (amino Acid, carbohydrates, lipid, and secondary metabolites); fruit size, number, or composition (amino Acid, carbohydrates, lipid, and secondary metabolites); fruit drop, fruit ripening; leaf (size, composition, amino acid, carbohydrates, lipid, and secondary metabolites, photoefficiency, abscission, or senescence); stem; or root; and (4) at the overall organism level: vigor (e.g. increased biomass), stress tolerance (e.g. cold, drought, heat, herbicide, oxidative, and salt); and pathogen resistance

To regulate any of the phenotype(s) above, activities of one or more of the viability genes or gene products can be modulated in an organism and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (Methods. Mol. Biol. 82:259-266 (1998)) and/or screened for variants as in Winkler et al., Plant Physiol. 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed.

III.D.8.c. Use of Viability Genes, Gene Components and Products to Modulate Biochemical Activities

The viability genes, their components and/or products can be used to modulate processes, biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Amino Acid Synthesis	Aceto-lactate synthase	Hershey et al. (1999) Plant
		Mol. Biol. 40, 795-806
Cell Wall Synthesis	Cellulose synthase	Peng et al. (2001) Plant
		Physiol. 126, 981-982
		Kawagoe and Delmer
		(1997) Genet Eng. 19, 63-87
Nucleotide Synthesis	Coenzyme A biosynthesis	Kupke et al. (2001) J. Biol.
		Chem. 276, 19190-19196
Lipid Synthesis	Oleosin biosynthesis	Singh et al. (2000)
		Biochem. Soc. Trans. 28,
		925-927
		Zou et al. (1996). Plant Mol.
		Biol. 31, 429-433
Hormone Signaling	Brassinolide and light signal	Kang et al. (2001) Cell 105,
Pathways	transduction	625-636
Hormone Biosynthesis	Cytokinin biosynthesis	Takei et al, (2001) J. Biol.
		Chem. 276, 26405-26410
Secondary Metabolites	Carotenoid biosynthesis	Estevez et al. (2001) J. Biol.
		Chem. 276, 22901-22909
		Carol and Kuntz (2001)
		Trendy Plant Sci. 6, 31-36
		Pogson and Rissler (2001)
		Phil. Trans. Roy. Soc. Lord.
		B 355, 1395-1400
Clearing of Toxic	Ubiquitination
Substances
Growth, Differentiation	Farnesylation	Pei et al (1998) Science 282:
And Development	Nitrogen Metabolism	287-290; Cutler et al. (1996)
		Science 273: 1239
		Goupil et al (1998) J Exptl
		Botany 49: 1855-62
Water Conservation And	Stomatal Development And	Allen et al. (1999) Plant
Resistance To Drought	Physiology	Cell 11: 1785-1798
And Other Related	Stress Response Pathways	Li et al. 2000 Science 287:
Stresses	Inhibition Of Ethylene	300-303
	Production Under Low Water	Burnett Et Al 2000. J. Exptl
	Potential	Botany 51: 197-205
	Proline And Other Osmolite	Raschke (1987) In: Stomatal
	Synthesis And Degradation	Function Zeiger et al. Eds.,
		253-279
		Bush And Pages (1998)
		Plant Mol. Biol. 37: 425-35
		Spollen Et Al (2000) Plant
		Physiol. 122: 967-976
		Hare et al. (1998) Plant, Cell
		And Environment 21: 535-553;
		Hare et al. (1999) J.
		Exptl. Botany 50: 413-434
Programmed cell death	Proteases	Kamens et al. (1995) J. Biol.
	DNA endonucleases	Chem. 270, 15250-15256
	Mitochondriae uncoupling	Wang et al. (2001)
	proteins	Anticancer Res. 21, 1789-1794
		Drake et al. (1996) Plant
		Mol. Biol 304, 755-767
		Mittler and Lam (1995)
		Plant Cell 7, 1951-1962
		Mittler and Lam (1995)
		Plant Physiol. 108, 489-493
		Thelen and Northcote
		(1989) Planta 179, 181-195
		Hanak and Jezek (2001)
		FEBS Lett. 495, 137-141
	Plasmalemma and Tonoplast	Macrobbie (1998) Philos
	Ion Channel Changes	Trans R Soc Lond B Biol
	Ca2+ Accumulation	Sci 353: 1475-88; Li et al
	K+ Efflux	(2000) Science 287: 300-303;
	Activation Of Kinases And	Barkla et al. (1999)
	Phosphatases	Plant Physiol. 120: 811-819
		Lacombe et al. (2000) Plant
		Cell 12: 837-51; Wang et
		al. (1998) Plant Physiol
		118: 1421-1429; Shi et al.
		(1999) Plant Cell 11: 2393-2406
		Gaymard et al. (1998) Cell
		94: 647-655
		Jonak et al. (1996) Proc.
		Natl. Acad. Sci 93: 11274-79;
		Sheen (1998) Proc. Natl.
		Acad. Sci. 95: 975-80; Allen
		et al. (1999) Plant Cell 11:
		1785-98

Other biological activities that can be modulated by the viability genes, their components and products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

III.D.8.d. Use of Viability Genes, Gene Components and Products to Modulate Transcript Levels of Other Genes

The expression of many genes is “up regulated” or “down regulated” following herbicide treatment and also in the leaf mutants, because some “viability” genes and their products are integrated into complex networks that regulate transcription of many other genes. Some “viability genes” are therefore useful for modifying the transcription of other genes and hence complex phenotypes, as described above. The data from differential expression experiments can be used to identify a number of types of transcript profiles of “viability genes”, including “early responders,” and “delayed responders”, “early responder repressors” and “delayed repressors”. Profiles of these different types responsive genes are shown in the Table below together with examples of the kinds of associated biological activities. “Up-regulated” profiles are those where the mRNA transcript levels are higher in the herbicide treated plants as compared to the untreated plants. “Down-regulated” profiles represent higher transcript levels in the untreated plant as compared to the herbicide treated plants.

		PHYSIOLOGICAL	EXAMPLES OF
	TYPE OF GENES	CONSEQUENCES	BIOCHEMICAL
	WHOSE	OF MODIFYING	ACTIVITIES WHOSE
TRANSCRIPT	TRANSCRIPTS ARE	GENE PRODUCT	TRANSCRIPTS ARE
LEVELS	CHANGED	LEVELS	CHANGED
Up Regulated	Early Responders	Suppression of	Transcription
Transcripts	To:	cell, tissue, organ	Factors
(Level At 4 Hr ≅ 0 Hr)	Gluphosinate	or plant death	Transporters
or	Chlorsulfuron	following:	Change In Cell
(Level At 4 Hr > 0 Hr)	Glyphosate	Herbicide	Membrane Structure
	and/or 2,4-D	treatment or	Kinases And
		tissue, organ or	Myrosinase-binding
		plant death	proteins
		following:	Sugar
		Herbicide	interconverting
		treatment or	enzymes
		under stress	Maintenance Of
			mRNA Stability
			Maintenance Of
			Protein Stability
			Maintenance Of
			Protein-Protein
			Interaction
			Protein
			translocation factors
			RNA-binding
			proteins
			Centromere and
			cytoskeleton
			proteins
			Lipases
			Zn/Cu transporters
			Cell wall structural
			proteins
Down-Regulated	Early Responder	Suppression of	Transcription
Transcripts	Repressors Of Stress	cell, tissue, organ	Factors
(Level At 0 Hr ≅ 4 Hr)	Response State Of	or plant death	Change In Protein
or	Metabolism	following:	Structure By
(Level At 0 Hr > 4 Hr)	Genes With	Herbicide	Phosphorylation
	Discontinued	treatment or	(Kinases) Or
	Expression Or UnsTable	under stress	Dephosphoryaltion
	mRNA In Presence Of	Activation of cell,	(Phosphatases)
	Herbicide or Abiotic	tissue, organ or	Change In
	Stress	plant death	Chromatin Structure
		following:	And/Or DNA
		Herbicide	Topology
		treatment or	H2O2 neutralizing
		under stress	proteins
		Zn/Cu transporters	Neutralizing
		Cell wall	proteins including
		structural proteins	SOD and GST
Down-Regulated	Delayed Responder	Suppression of	Transcription
Transcripts	Repressors Of ABA	cell, tissue, organ	Factors
(Level At 4 Hr > 12 Hr)	Function State Of	or plant death	Kinases And
	Metabolism	following:	Phosphatases
	Genes With	Herbicide	Stability Of Factors
	Discontinued	treatment or	For Protein
		under stress	Synthesis And
		Activation of cell,	Degradation
		tissue, organ or	Amino Acid
		plant death	biosynthesis
		following:	proteins including
		Herbicide	aspargive synthase
		treatment or
		under stress
	Expression Or Unstable		Ca-binding proteins
	mRNA In Presence Of		Lipid biosynthesis
	herbicide or Abiotic		proteins
	Stress		Lipases
			Zn/Cu transporters
			Cell wall structural
			proteins

While viability modulating polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development.

Use of Promoters of Viability Genes, Gene Components and Products

Promoters of viability genes can include those that are induced by (1) destructive chemicals, e.g. herbicides, (2) stress, or (3) death. These promoters can be linked operably to achieve expression of any polynucleotide from any organism. Specific promoters from viability genes can be selected to ensure transcription in the desired tissue or organ. Proteins expressed under the control of such promoters can include those that can induce or accelerate death or those that can protect plant cells organ death. For example, stress tolerance can be increased by using promoters of viability genes to drive transcription of cold tolerance proteins, for example. Alternatively, promoters induced by apoptosis can be utilized to drive transcription of antisense constructs that inhibit cell death.

III.D.9. Histone Deacetylase (Axel) Responsive Genes, Gene Components and Products

The deacetylation of histones is known to play an important role in regulating gene expression at the chromatin level in eukaryotic cells. Histone deacetylation is catalyzed by proteins known as histone deacetylases (HDAcs). HDAcs are found in multisubunit complexes that are recruited to specific sites on nuclear DNA thereby affecting chromatin architecture and target gene transcription. Mutations in plant HDAc genes cause alterations in vegetative and reproductive growth that result from changes in the expression and activities of HDAc target genes or genes whose expression is governed by HDAc target genes. For example, transcription factor proteins control whole pathways or segments of pathways and proteins also control the activity of signal transduction pathways. Therefore, manipulation of these types of protein levels is especially useful for altering phenotypes and biochemical activities.

Manipulation of one or more HDAc gene activities is useful to modulate the biological activities and/or phenotypes listed below. HDAc genes and gene products can act alone or in combination. Useful combinations include HDAc genes and/or gene products with similar biological activities, or members of the same, co-regulated or functionally related biochemical pathways. Such HDAc genes and gene products can function to either increase or dampen these phenotypes or activities.

Examples of genes whose expression is affected by alterations in HDAc activity are shown in the Reference and Sequence Tables. These genes and/or gene products are responsible for effects on traits such as inflorescence branching and seed production. They were discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA products are affected by a decrease in HDAc gene activity. These experiments made use of an Arabidopsis mutant having severely reduced mRNA levels for the histone deactylase gene AtHDAC1.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by simultaneously hybridizing two differentially labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing 10,000 non-redundant ESTs, selected from 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases over the controls were identified, compared to the Ceres full-length cDNA and genomic sequence databanks, and identical Ceres clones identified. MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which are HDAc genes. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Axel (relating to SMD 6654, SMD 6655)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Histone Deacetylase genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Histone Deacetylase Genes Identified by Cluster Analyses of Differential Expression

Histone Deacetylase Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Histone Deacetylase genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Axel (relating to SMD 6654, SMD 6655) of the MA_diff table(s).

Histone Deacetylase Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Histone Deacetylase genes. A group in the MA_clust is considered a Histone Deacetylase pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Histone Deacetylase Genes Identified by Amino Acid Sequence Similarity

Histone Deacetylase genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Histone Deacetylase genes. Groups of Histone Deacetylase genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Histone Deacetylase pathway or network is a group of proteins that also exhibits Histone Deacetylase functions/utilities.

III.D.9.a. Use of HDAc Genes, Gene Components and Products to Modulate Phenotypes

HDAc genes and gene products are useful to or modulate one or more phenotypes including growth rate; whole plant, including height, flowering time, etc.; seedling; organ; seed development; embryo; germination, and cell differentiation.

To improve any of the phenotype(s) above, activities of one or more of the HDAc genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Wu et al. (2000, Plant J 22: 19-27), Hu et al. (2000, J Biol Chem 275: 15254-64), Johnson and Turner (1999, Semin Cell Dev Biol 10: 179-88), Koyama et al. (2000, Blood 96: 1490-5), Wu et al. (2000, Plant J 22: 19-27), Li (1999, Nature Genetics 23: 5-6), Adams et al. (2000, Development 127: 2493-2502) and Lechner et al. (2000, Biochemistry 39: 1683-92).

III.D.9.b. Use of HDAc Development Genes, Gene Components and Products to Modulate Biochemical Activities

The activities of one or more of the HDAc genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth, Differentiation	Cell Differentiation	Koyama et al. (2000) Blood
And Development		96: 1490-5
	Cell Cycle Progression	Hu et al. (2000) J Biol Chem
		275: 15254-64
Metabolism	Chromatin Structure	Hu et al. (2000) J Biol Chem
		275: 15254-64
	Gene Transcription And	Johnson and Turner (1999)
	Chromatin Assembly	Semin Cell Dev Biol 10: 179-88
Reproduction And Seed	Seed Development	Wu et al. (2000) Plant J 22: 19-27
Development	Seed Germination	Lechner et al. (2000)
		Biochemistry 39: 1683-92
	Independent Embryo	Ohad et al. (1996) PNAS USA
	Fertilization	93: 5319-24
	Fertilization Independent	Chaudhury et al. (1997) PNAS
	Seed Development	USA 94: 4222-28
	Megagametogenesis	Christensen et al. (1997) Sex
		Plant Reproduc 10: 49-64

Other biological activities that can be modulated by the HDAc genes and gene products are listed in the REFERENCE Table. Assays for detecting such biological activities are described in the Protein Domain table.

Profiles of these different HDAc genes are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
		PHYSIOLOGICAL	BIOCHEMICAL
TRANSCRIPT LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up Regulated	Responders To	Gene Repression	Transporters
Transcripts	HDAc Activity	Activity	Metabolic enzymes
		Cell Cycle	Kinases and
		Progression	phosphatases
		Chromatin	Transcription
		Condensation	activators
		Synthesis Of	Change in
		Metabolites	chromatin structure
		And/Or Proteins	and/or localized
		Modulation Of	DNA topology
		Transduction
		Pathways
		Specific Gene
		Transcription
		Initiation
Down-Regulated	Responder To Hdac	Negative	Transcription
Transcripts	Inhibitors	Regulation Of	factors
	Genes With	Acetylation	Change in protein
	Discontinued	Pathways	structure by
	Expression Or	Changes In	phosphorylation
	UnsTable Mrna In	Pathways And	(kinases) or
	Presence Of Hdac	Processes	dephosphorylation
		Operating In Cells	(phosphatases)
		Changes In	Change in
		Metabolism	chromatin structure
			and/or DNA
			topology
			Stability of factors
			for protein synthesis
			and degradation
			Metabolic enzymes

Use of Promoters of Histone Deacetylase Responsive Genes

Promoters of Histone Deacetylase responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Histone Deacetylase responsive genes where the desired sequence is operably linked to a promoter of a Histone Deacetylase responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E. Stress Responsive Genes, Gene Components and Products

III.E.1. Cold Responsive Genes, Gene Components and Products

The ability to endure low temperatures and freezing is a major determinant of the geographical distribution and productivity of agricultural crops. Even in areas considered suitable for the cultivation of a given species or cultivar, can give rise to yield decreases and crop failures as a result of aberrant, freezing temperatures. Even modest increases (1-2° C.) in the freezing tolerance of certain crop species would have a dramatic impact on agricultural productivity in some areas. The development of genotypes with increased freezing tolerance would provide a more reliable means to minimize crop losses and diminish the use of energy-costly practices to modify the microclimate.

Sudden cold temperatures result in modulation of many genes and gene products, including promoters. Examples of such cold responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix tables, MA_diff and MA_clust tables These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to cold treatment.

Manipulation of one or more cold responsive gene activities is useful to modulate the biological activities and/or phenotypes listed below. Cold responsive genes and gene products can act alone or in combination. Useful combinations include cold responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of the levels of such proteins is especially useful for altering phenotypes and biochemical activities of plants. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108578, 108579, 108533, 108534). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Cold genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Cold Genes Identified by Cluster Analyses of Differential Expression

Cold Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Cold genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108578, 108579, 108533, 108534 of the MA_diff table(s).

Cold Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Cold genes. A group in the MA_clust is considered a Cold pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Cold Genes Identified by Amino Acid Sequence Similarity

Cold genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Cold genes. Groups of Cold genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Cold pathway or network is a group of proteins that also exhibits Cold functions/utilities.

Such cold responsive genes and their products can function to either increase or dampen the phenotypes and activities below either in response to cold treatment or in the absence of cold temperature fluctuations.

Further, promoters of cold responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by ABA or any of the following phenotypes or biological activities below.

III.E.1.a. Use of Cold-Responsive Genes to Modulate Phenotypes

Cold responsive genes and gene products are useful to or modulate one or more phenotypes including cold tolerance, below 7° C., for example, cells, organelles, proteins, dehydration resistance, growth rate, whole plant, including height, bolting time, etc., organs, biomass, fresh and dry weight during any time in plant life, such as maturation, number, size, and/or weight of flowers, seeds, branches, or leaves; seed yield in terms of number, size, weight, harvest index, or water content, fruit yield in terms of number, size, weight, harvest index, water content.

To regulate any of the phenotype(s) above, activities of one or more of the cold responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and assayed, for example, in accordance to Steponokus et al. (1993) Biochimica et Biophysica Acta 1145: 93-104; Quinn (1988) Symp Soc. Exp. Biol. 42: 237-258; Bectold and Pelletier (1998) Methods Mol. Biol. 82: 259-266; Kasuga et al. (1999) Nature Biotechnology 17: 287-291; Guy et al. (1998) Cryobiology 36: 301-314; or Liu et al. (1998) Plant Cell 10: 1391-1406.

III.E.1.b. Use of Cold-Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the cold responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations above and those included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES
PROCESS	AND/OR PATHWAYS	CITATIONS INCLUDING ASSAYS
Cold Tolerance	Viability Of Plant	Steponkus (1998) PNAS USA 95:
	Protoplasts At Low	14570-14575
	Temperatures.
	Viability Of Yeast At Low	Schirmer et al. (1994) Plant Cell 6:
	Temperatures.	1899-1909
	Complementation Of Yeast	Zentella et al. (1999) Plant
	Tsp Mutant	Physiology, 119: 1473-1482
	Viability Of E. Coli At Low	Yeh et. al. (1997) PNAS 94: 10967-10972
	Temperatures.
	Induction Of Cold Shock	Pearce (1999) Plant Growth
	Response Genes	Regulation 29: 47-76.
Lipid Composition	Altered Composition Of	Sayanova et al. (1999) Journal of
	Membrane Fatty Acids	Experimental Botany 50: 1647-1652
		Sayanova (1997) PNAS
		USA 94: 4211-4216
	ALTERATION OF	Porta et al. (1999) Plant and Cell
	LIPOXYGENASE	Physiology 40: 850-858.
	ENZYME
	ACCUMULATION AND
	ACTIVITY
Protein	PROTEIN	Wisniewski et al.(1999) Physiologia
Composition	DENATURATION	Plantarum 105: 600-608
	Protein Hydrophilicity	Steponkus (1998) PNAS USA 95:
		14570-14575
Modulation of	Induced Transcription	Current Protocols in Molecular
Transcription	Factors And Other Dna	Biology/edited by Frederick M.
Induced by Low	Binding Proteins	Ausubel .. [et al.]. New York:
Temperatures	Transcription Of	Published by Greene Pub. Associates
	Specific Genes	and Wiley-Interscience: J. Wiley,
		c1987.
		Steponkus (1998) PNAS USA 95:
		14570-14575
		Kadyrzhanova et al., Plant Mol Biol
		(1998) 36(6): 885-895; and
		Pearce et al., Plant Physiol (1998)
		117(3): 787-795
Signal	Plasma Membrane	Goodwin et al., Plant Mol Biol (1996)
Transduction	Proteins	31(4) 777-781; and
		Koike et al., Plant Cell Physiol (1997)
		38(6): 707-716
Oxygen	Glutathione	Kocsy et al., Planta (2000) 210(2):
Scavengers		295-301
	Accumulation Active O2	Tao et al., Cryobiology (1998)
	and H2O2 Scavengers	37(1): 38-45
Dehydration	Dehydrin	Ismail et al., Plant Physiol (1999)
		120(1): 237-244
	Transcription of mRNA	Kaye et al., Plant Physiol (1998)
		116(4): 1367-1377
Metabolism	Soluble Sugars and/or	Wanner et al., (1999) Plant Physiol
	Proline	120(2): 391-400
RNA/DNA	Stabilization of	Jiang, Weining et al., (1997) Journal of
Chaperone	RNA/DNA through	Biological Chemistry, 272: 196-202.
	RNA binding and	Fukunaga et al., (1999) Journal of
	modulation of RNA	Plant Research, 112: 263-272.
	translation through RNA
	binding and or
	unwinding.
Protein Chaperone	Stabilize protein	Forreiter and Nover (1998) Journal of
	structure and facilitate	Biosciences 23: 287-302
	protein folding

Other biological activities that can be modulated by the cold responsive genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Cold responsive genes are characteristically differentially expressed in response to fluctuating cold temperature levels, whether internal or external to an organism or cell. The MA_diff table reports the changes in transcript levels of various cold responsive genes in the aerial parts of seedlings at 1 and 6 hours at 4° C. in the dark as compared to aerial parts of seedlings covered with aluminium foil, and grown at 20° C. in the growth chamber.

The data from this time course can be used to identify a number of types of cold responsive genes and gene products, including “early responders” and “delayed responders”. Profiles of these different cold responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
GENE	FUNCTIONAL	TYPE OF	BIOCHEMICAL
EXPRESSION	CATEGORY OF	BIOLOGICAL	ACTIVITIES OF GENE
LEVELS	GENE	ACTIVITY	PRODUCTS
Upregulated Genes	Early	Perception Of	Transcription Factors
(Level At 1 h ≅ 6 h)	Responders To	Cold	Kinases And
or	Cold	Induction Of	Phosphatases
(Level At 1 h > 6 h)		Cold Response	Amino Acid Sugar And
		Signal	Metabolite Transporters
		Transduction	Carbohydrate Catabolic
		Pathways	And Anabolic Enzymes.
		Initiating	Lipid Biosynthesis
		Specific Gene	Enzymes
		Transcription	Lipid Modification
		Osmotic	Enzymes, Example
		Adjustment	Desaturases
		Alteration Of	Ice Crystal Binding
		Lipid	Proteins
		Composition.	Hydrophilic Proteins
		Ice Nucleation
		Inhibition
		Mitigation Of
		Dehydration By
		Sequestering
		Water
	Stress Response	Repression Of	Transcription Factors
		General	Kinases And
		Biochemical	Phosphatases
		Pathways To	Protein Stability Factors
		Optimize Cold	mRNA Stability Factors
		Response	mRNA Translation
		Pathways.	Factors
		Stabilization Of	Protein Turnover Factors
		Protein/Enzyme	Oxygen Radical
		Activity At Low	Scavengers, Example-
		Temperature	Peroxidases
		Protection	Energy Generation
		Against Oxidative	Enzymes EtOH
		Stress	Detoxification
		Anaerobic
		Metabolism
Upregulated Genes	Delayed	Respiration,	Transcription Factors
(Level At 1 h < 6 h)	Responders To	Photosynthesis	Kinases And
	Cold Stress	And Protein	Phosphatases
	Cold	Synthesis	Protein Stability Factors
	Acclimation	Carbohydrate	mRNA Stability Factors
	Genes	And Amino Acid	mRNA Translation
		Solute	Factors
		Accumulation	Protein Turnover Factors
		Increased Fatty	Oxygen Radical
		Acid Desaturation	Scavengers, Peroxidase
		To Increase Lipid	Metabolic Enzymes
		Membrane
		Stability
		Increased
		Accumulation Or
		Activity Of
		Oxidative Stress
		Protection Proteins
		Stabilization Of
		Protein/Enzyme
		Activity At Low
		Temperature
		Protection
		Against Oxidative
		Stress
		Extracellular
		Matrix
		Modification
	Stress Response	Stabilization Of	Transcription Factors
	Genes	Protein/Enzyme	Kinases And
		Activity At Low	Phosphatases
		Temperature	Protein Stability Factors
		Protection	mRNA Stability Factors
		Against Oxidative	mRNA Translation
		Stress	Factors
		Anaerobic	Protein Turnover Factors
		Metabolism	Oxygen Radical
			Scavengers, Example-
			Peroxidase
			Energy Generation
			Enzymes, Etoh
			Detoxification
Downregulated	Early	Negative	Transcription Factors
(Level At 1 h ≅ 6 h)	Responder	Regulation Of	Kinases And
(Level At 6 h > 1 h)	Repressors Of	Cold Signal	Phosphatases
	Cold Stress	Transduction	Protein Stability Factors
	Metabolism	Pathways Released	mRNA Stability Factors
			mRNA Translation
			Factors
			Protein Turnover Factors
	Genes With	Negative	Cold Repressed
	Discontinued	Regulation Of	Metabolic Pathway
	Expression Or	Cold Induced	Proteins
	UnsTable	Transcription	Factors Coordinating And
	mRNA In Cold	Reduced	Controlling Central C and
		Reduction In	N Metabolism
		Gene Expression	Storage Proteins
		In Pathways Not
		Required Under
		Cold Conditions
		Induced mRNA
		Turnover
Down-Regulated	Delayed	Maintenance Of	Transcription Factors
Transcripts	Responder	Cold Induced State	Kinases And
(Level At 1 h > 6 h)	Repressors Of	Of Metabolism	Phosphatases
	Cold Stress	Reduction In	Protein Stability Factors
	Metabolism	Gene Expression	mRNA Stability Factors
	Genes With	For Pathways Not	mRNA Translation
	Discontinued	Required Under	Factors
	Expression Or	Cold Conditions	Protein Turnover Factors
	UnsTable	Induced mRNA	Cold Repressed
	mRNA In Cold	Turnover	Metabolic Pathway
			Proteins
			Factors Coordinating And
			Controlling Central C and
			N Metabolism
			Storage Proteins

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the cold responsive genes when the desired sequence is operably linked to a promoter of a cold responsive gene.

III.E.2. Heat Responsive Genes, Gene Components and Products

The ability to endure high temperatures is a major determinant of the geographical distribution and productivity of agricultural crops. Decreases in yield and crop failure frequently occur as a result of aberrant, hot conditions even in areas considered suitable for the cultivation of a given species or cultivar. Only modest increases in the heat tolerance of crop species would have a dramatic impact on agricultural productivity. The development of genotypes with increased heat tolerance would provide a more reliable means to minimize crop losses and diminish the use of energy-costly practices to modify the microclimate.

Changes in temperature in the surrounding environment or in a plant microclimate results in modulation of many genes and gene products. Examples of such heat stress responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff and MA_clust tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to high temperatures.

While heat stress responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different heat stress responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a heat stress responsive polynucleotide and/or gene product with other environmentally responsive polynucleotide is also useful because of the interactions that exist between stress pathways, pathogen stimulated pathways, hormone-regulated pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles, but which participate in common or overlapping pathways. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108576, 108577, 108522, 108523). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Heat genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Heat Genes Identified by Cluster Analyses of Differential Expression

Heat Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Heat genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108576, 108577, 108522, 108523 of the MA_diff table(s).

Heat Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Heat genes. A group in the MA_clust is considered a Heat pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Heat Genes Identified by Amino Acid Sequence Similarity

Heat genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Heat genes. Groups of Heat genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Heat pathway or network is a group of proteins that also exhibits Heat functions/utilities.

Such heat stress responsive genes and gene products can function either to increase or dampen the above phenotypes or activities either in response to changes in temperature or in the absence of temperature fluctuations.

Further, promoters of heat responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by heat or any of the following phenotypes or biological activities below.

III.E.2.a. Use of Heat Stress Responsive Genes to Modulate Phenotypes

Heat stress responsive genes and gene products can be used to alter or modulate one or more phenotypes including heat tolerance (above 20° C., 23° C., 27° C., 30° C., 33° C., 37° C., 40° C. or 42° C.), heat tolerance of cells, of organelles, of proteins, of cells or organelles dehydration resistance, growth rate, whole plant, including height, bolting time, etc., organs, biomass, fresh and dry weight during any time in plant life, such as maturation, number, size, and weight of flowers, seeds, branches, or leaves; seed yield in number, size, weight, harvest index; fruit yield in terms of number, size, weight, or harvest index, stress responses such as mediation of response to desiccation, drought, salt, disease, wounding, cold and other stresses, and reproduction

To regulate any of the phenotype(s) above, activity of one or more of the heat stress responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Queitsch et al. (2000, The Plant Cell 12: 479-92).

III.E.2.b. Use of Heat Stress Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the heat stress responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL
	OR METABOLIC ACTIVITIES	CITATION INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAY
Cell Growth	Regulation And	Wisniewski et al.
and Differentiation	Molecular Chaperones	(1999) Physiolgia
	Maintenance Of Native	Plantarum 105:
		600-608
	Conformation (Cytosolic	Queitsch et al.
	Proteins)	(2000) The Plant
	Reactivation Of	Cell 12: 479-92
	Aggregation And Protein	Lee and Vierling
	Folding	(2000) Plant
	Autoregulation Of Heat	Physiol. 122: 189-197
	Shock Response	Schwechheimer
	Regulation Of	(1998) Plant Mol
	Translational Efficiency	Biol 36: 195-204
	Regulation Of Kinase	Shi et al. (1998)
	Activity	Genes and
	Regulation Of Calcium	Development 12:
	Mediated Signal	654-66
	Transduction	Wells et al. (1998)
		Genes and
		Development 12:
		3236-51
		Lis et al. (2000)
		Genes and
		Development 14:
		792-803
		Malho, R.(1999) Plant
		Biology 1: 487-494.
		Sheen, Jen.(1996)
		Science 274: 1900-1902.
		Farmer, P. et al., (1999.)
		Biochimica et Biophysica
		Acta 1434: 6-17.
Gene regulation	Transcriptional Regulation Of	Current Protocols in
	Heat Induced Proteins	Molecular Biology/edited
	Through DNA Binding	by Frederick M. Ausubel..
	Proteins.	[et al.]. New York:
	Transcriptional Regulation Of	Published by Greene Pub.
	Heat Induced Proteins	Associates and Wiley-
	Through Protein-Protein	Interscience: J. Wiley,
	Interactions Between DNA	c1987.
	Binding Proteins And	Steponkus (1998)
	Coactivators.	PNAS USA 95:
	Transcriptional Regulation Of	14570-14575
	Heat Induced Proteins	Gubler et al.
	Through Protein	(1999) Plant
	Phosphorylation And	Journal 17: 1-9
	Dephosphorylation	Glenn et al.
	Transcriptional Regulation Of	(1999) Journal of
	Thermal Stress Induced	Biological
	Genes By Protein-Protein	Chemistry, 274:
	Interactions.	36159-36167
	Translational Regulation Of	Zhou et al., (1997)
	Thermal Stress Induced	EMBO Journal16: 3207-3218.
	Messenger Rnas.	Sessa et al.,
	Transcriptional Regulation Of	(2000) EMBO Journal 19:
	Heat Induced Genes Through	2257-2269.
	Chromatin Remodeling.	Burnett et
		al., (2000) Journal
		of Experimental
		Botany. 51: 197-205.
		Osterlund et
		al., (2000) Nature
		405: 462-466.
		Gross and
		Watson (1998)
		Canadian Journal of
		Microbiology,
		44: 341-350
		Luo, R. X., Dean, D.C.
		(1999)
		Journal of the
		National Cancer
		Institute 91: 1288-1294.
		Chromatin protocols
		(1999) edited by Peter B.
		Becker. Totowa, N.J.:
		Humana Press.
Cell Structure	Thermal Stress Protection By	Goodwin et al. (1996)
	Plasma Membrane Anchored	Plant Mol Biol 31(4) 777-781;
	Or Secreted And/Or Cell	and
	Wall Associated Proteins.	Koike et al. (1997) Plant
		Cell Physiol 38(6): 707-716
Signal Transduction	Regulation Of Thermal Stress	Jonak (1996) Proceedings
	Pathways And Protein	of the National Academy of
	Activity By Protein Kinase	Sciences of the United
	And Protein Phosphatase	States of America, 93:
	Mediated Phosphorylation	11274-11279.
	And Dephosphorylation	Monroy.et al., (1998)
	Respectively.	Analytical Biochemistry
		265: 183-185.
Photosynthesis	Regulation Of	Schroda et al. (1999) The
	Photoprotection And Repair	Plant Cell 11: 1165-178
	Of Photosystem II	Oh and Lee (1996) J Plant
		Biol. 39: 301-07
Stress Response	Regulation Of Cytosol	Dat et al. (1998) Plant
	Peroxide Levels	Physiol 116: 1351-1357
	Regulation Of Heat Shock	Kurek et al. (1999) Plant
	Factor Binding	Physiol 119: 693-703
	Regulation Of Protein	Storozhenko et al. (1998)
	Stability During Thermal	Plant Physiol 118: 1005-14
	Stress	Soto et al. (1999) Plant
	Nucleocytoplasmic Export Of	Physiol 120: 521-28
	Heat Shock Protein Mrnas	Yeh et al. (1997) PNAS 94:
	Regulation/Reconfiguration	10967-10972
	Of Cell Architecture	Winkler et al. (1998) Plant
	Regulation Of Pathways For	Physiol 118: 743-50
	Reactivation Of “Damaged”	Saavedra et al. (1997)
	And/Or Denatured Proteins	Genes and Development
	Regulation Of Protein	11: 2845-2856
	Degradation During Thermal	Parsell and Lindquist
	Stress.	(1993). Ann. Rev. Genet.
	Regulation Of Osmotic	27: 437-496.
	Potential During Thermal	Parsell and Lindquist
	Stress.	(1993). Ann. Rev. Genet.
	Regulation Of Universal	27: 437-496.
	Stress Protein Homologue	Georgopoulos and Welch
	Activity By Phosphorylation	(1993). Ann Rev. Cell Biol.
	And Dephosphorylation.	9: 601-634.
	Regulation Of Dehydrin,	Vierstra, Richard D.
	LEA-Like And Other Heat	(1996) Plant Molecular
	STable Protein Accumulation	Biology, 32: 275-302.
		Vierstra, Richard D.;
		Callis, Judy. (1999) Plant
		Molecular Biology,
		41: 435-442.
		Liu, J. et al., (1998) Plant
		Science 134: 11-20.
		Freestone, P. 1997 et al.,
		Journal of Molecualr
		Biology, v. 274: 318-324.
		Robertson, A.J. (1994)
		Plant Physiology 105: 181-190.

Other biological activities that can be modulated by the heat stress responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Heat stress responsive genes are characteristically differentially transcribed in response to fluctuating temperatures, whether internal or external to an organism or cell. The MA_diff table reports the changes in transcript levels of various heat stress responsive genes in aerial tissues at 1 and 6 hours after plants were placed at 42° C. as compared to aerial tissues kept at 20° C. growth chamber temperature.

The data from this time course can be used to identify a number of types of heat stress responsive genes and gene products, including “early responders to heat stress,” “delayed responders to heat stress,” “early responder repressors,” and “delayed repressor responders.” Profiles of these different heat stress responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
GENE	FUNCTIONAL		BIOCHEMICAL
EXPRESSION	CATEGORY OF	PHYSIOLOGICAL	ACTIVITIES/GENE
LEVELS	GENE	CONSEQUENCES	PRODUCTS
Up Regulated	Early Responders	Heat Stress Perception	Transcription
Transcripts	To Heat Stress	Modulation Of Heat	Factors
(Level At 1 h ≈ 6 h)		Stress Response	Transporters
Or		Transduction	Changes In Cell
(Level At 1 h > 6 h)		Pathways	Membrane Structure
		Specific Gene	Kinases And
		Transcription	Phosphatases
		Initiation	Transcription
		Conditional Shift In	Activators
		Preferential	Changes In
		Translation Of	Chromatin Structure
		Transcripts	And/Or Localized
		Changes In Cell	Dna Topology
		Architecture To	Modification Of Pre-
		Optimize Cell	Existing Translation
		Adaptation To Heat	Factors By
		Stress	Phosphorylation
			(Kinases) Or
			Dephosphorylation
			(Phosphatases)
			Synthesis Of New
			Translation Factors
			Stability Of
			Mediators Of
			Protein-Protein
			Interaction
			Heat Shock Proteins
			Changes In
			Organelle
			Structures,
			Membranes And
			Energy-Related
			Activities
			Proteins To Catalyse
			Metabolic Turnover
Up Regulated	“Delayed”	Maintenance Of	Transcription
Transcripts	Responders	Response To Heat	Factors
(Level At 1 h < 6 h)	Maintenance Of	Stress	Specific Factors
	Heat Stress	Maintenance Of	(Initiation And
	Response	Protein Stability And	Elongation) For
		Conformation	Protein Synthesis
			Maintenance Of
			Mrna Stability
			Heat Shock Proteins
			Changes In
			Organelle
			Structures,
			Membranes And
			Energy-Related
			Activities
			Proteins To Catalyse
			Metabolic Turnover.
			Stability Of
			Mediators Of
			Protein-Protein
			Interaction
Down-Regulated	Early Responder	Negative Regulation	Transcription
Transcripts	Repressors Of	Of Heat Stress	Factors And
(Level At 1 h ≈ 6 h)	“Normal” State Of	Response Released	Activators
Or	Metabolism	Changes In	Change In Protein
(Level At 6 h > 1 h)	Genes With	Biochemical And	Structure By
	Discontinued	Signal Transduction	Phosphorylation
	Expression Or	Pathways And	(Kinases) Or
	UnsTable mRNA	Processes Operating In	Dephosphoryaltion
	In Presence Of	Cells	(Phosphatases)
	Heat Stress	Reorientation Of	Change In
		Metabolism	Chromatin Structure
			And/Or Dna
			Topology
Down-Regulated	Delayed	Maintenance Of Heat	Transcription
Transcripts	Repressors Of	Stress Response	Factors And
(Level At 1 hr >	“Normal” State Of	Maintenance Of	Activators
6 hr)	Metabolism	Pathways Released	Kinases And
	Genes With	From Repression	Phosphatases
	Discontinued	Changes In Pathways	Stability Of Factors
	Expression Or	And Processes	For Protein
	UnsTable mRNA	Operating In Cells	Translation
	In Presence Of	Reorientation Of
	Heat Stress	Metabolism

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the heat responsive genes when the desired sequence is operably linked to a promoter of a heat responsive gene.

III.E.3. Drought Responsive Genes, Gene Components and Products

The ability to endure drought conditions is a major determinant of the geographical distribution and productivity of agricultural crops. Decreases in yield and crop failure frequently occur as a result of aberrant, drought conditions even in areas considered suitable for the cultivation of a given species or cultivar. Only modest increases in the drought tolerance of crop species would have a dramatic impact on agricultural productivity. The development of genotypes with increased drought tolerance would provide a more reliable means to minimize crop losses and diminish the use of energy-costly practices to modify the microclimate.

Drought conditions in the surrounding environment or within a plant, results in modulation of many genes and gene products. Examples of such drought responsive genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to availability of water.

While drought responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different drought responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways, or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of the levels of such proteins is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a drought responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in a common pathway. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108572, 108573, 108502, 108503, 108504, 108556, 108482, 108483, 108473, 108474, 108477). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Drought genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Drought Genes Identified by Cluster Analyses of Differential Expression

Drought Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Drought genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108572, 108573, 108502, 108503, 108504, 108556, 108482, 108483, 108473, 108474, 108477 of the MA_diff table(s).

Drought Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Drought genes. A group in the MA_clust is considered a Drought pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Drought Genes Identified by Amino Acid Sequence Similarity

Drought genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Drought genes. Groups of Drought genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Drought pathway or network is a group of proteins that also exhibits Drought functions/utilities.

Such drought responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to drought conditions or in the absence of drought conditions. Further, promoters of drought responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by drought or any of the following phenotypes or biological activities below.

More specifically, drought responsive genes and gene products are useful to or modulate one or more phenotypes including growth, roots, stems, buds, leaves, development, cell growth, leaves, fruit development, seed development, senescence, stress responses, and mediates response to desiccation, drought, salt and cold.

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the drought responsive genes when the desired sequence is operably linked to a promoter of a drought responsive gene.

To produce the desired phenotype(s) above, one or more of the drought response genes or gene products can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Ruzin (1999, In: Plant Microtechnique and Microscopy, Oxford University Press, London) and Khanna-Chopra et al. (1999, BBRC 255:324-7).

Alternatively, the activities of one or more of the drought responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES
GENERAL CATEGORY	AND/OR PATHWAYS	ASSAY
Cell Growth and	Preservation of Leaf Sub-Cellular	Jagtap et al. (1998) J Exptl
Differentiation	Structures Including	Botany 49: 1715-1721
	Photosynthetic Apparatus
	Preservation of Cell Membrane	Munne-Bosch and Alegre
	Structures	(2000) Planta 210: 925-31
	Regulation of Stomatal	Menke et al. (2000) Plant
	development and Physiology	Physiol. 122: 677-686.
	Regulation of Factors Involved in	Harrak et al. (1999) Plant
	the Drought-adapted change in	Physiol. 121: 557-564.
	cell ultrastructure
Physiology	Modulation of Transpiration	Allen et al. (1999) Plant
		Cell 11: 1785-98
		Li et al. (2000) Science
		287: 300-303
		Burnett et al. (2000) J Exptl
		Bot 51: 197-205
		Raschke (1987) In:
		Stomatal function, Zeiger
		et al., Eds, 253-79
	Modulation of Photosynthesis	Sung and Krieg (1979)
		Plant Physiol 64: 852-56
	Regulation of Epicuticular Wax	Rhee et al. (1998) Plant
	Biosynthesis	Physiol 116: 901-11
	Regulation of Carotenoid	Alegre (2000) Planta 210:
	Biosynthesis	925-31
		Loggini et al (2000) Plant
		Physiol 119: 1091
Stress Response	Modulation of Leaf Rolling to	Taiz and Zeiger (1991) In:
	minimize water loss	Plant Physiology,
		Benjamin/Cummings
		Publishing Co., Redwood
		City, pp 346-70
	Modulation of Osmolite	Hare et al. (1998) Plant,
	Synthesis	Cell and Environment 21:
		535-553
		Huan et al. (2000) Plant
		Physiol 122: 747-756
	Regulation of gene	Hare et al. (1999) J. Exptl.
	transcriptional activity specific to	Botany 333: 413-434.
	the establishment of drought
	tolerance
	Regulation of protein degradation	Lee and Vierling (2000)
	and reactivation during drought	Plant Physiol. 122: 189-197
	stress condition
	Modulation/reconfiguration of	Lis et al. (2000) Genes and
	translation machineries	Development 14: 792-803
	(“recycling” mechanisms)
	adapTable to drought condition
Signal Transduction	Regulation of Ion Sequestration	Bush and Jones (1987) Cell
		Calcium 8: 455-72
	Regulation of Nuclear Targeted	Ferringno and Silver
	Protein Transport	(1999) Methods in Cell
		Biology 58: 107-22
	Regulation of Cytoplasmic Ca + 2	Shi et al. (1999) Plant Cell
		11: 2393-2406
	Regulation of Kinase Synthesis	Li et al. (2000) Science
	and Activity	287-300-03
	Modulation of Molecular	Mayhew et al (1996)
	Chaperone Activity	Nature 379: 420-26
		Kimura et al. (1995)
		Science 268: 1362-1365.

Other biological activities that can be modulated by the drought responsive genes and gene products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Protein Domain table.

Drought responsive genes are characteristically differentially transcribed in response to drought conditions, whether internal or external to an organism or cell. The MA_diff table(s) report(s) the changes in transcript levels of various drought responsive genes at 1 and 6 hours after aerial tissues were isolated and left uncovered at room temperature on 3 MM paper, as compared to isolated aerial tissues placed on 3 MM paper wetted with Hoagland's solution. The data from this time course can be used to identify a number of types of drought responsive genes and gene products, including “early responders,” and “delayed responders.” Profiles of these different drought responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
GENE	FUNCTIONAL		BIOCHEMICAL
EXPRESSION	CATEGORY OF	PHYSIOLOGICAL	ACTIVITIES OF GENE
LEVELS	GENE	CONSEQUENCES	PRODUCTS
Up regulated	Early responders to	Drought perception	Transcription factors
transcripts	drought	leading to the	Transporters
(level at 1 hr ≈ 6 hr)		establishment of
(level at 1 hr > 6 hr)		tolerance to drought
		Modulation of drought	Change in cell membrane
		response transduction	structure
		pathways	Kinases and phosphatases
		Specific gene	Transcription activators
		transcription initiation	Change in chromatin
			structure and/or localized
			DNA topology
		Conditional shift in	Modification of pre-
		preferential translation	existing translation factors
		of transcripts	by phosphorylation
			(kinases) or
			dephosphorylation
			(phosphatases)
			Synthesis of new
			translation factors
		Changes in cell	Stability of mediators of
		architecture to optimize	protein-protein interaction
		cell adaptation to heat
		stress
		Changes in cell	Synthesis and/or stability
		division cycle	of factors regulating cell
			division
Up regulated	Maintenance of	Maintenance of	Transcription factors
transcripts	drought response	response to drought and	Specific factors (initiation
(level at 1 hr < 6 hr)	“Delayed” responders	maintenance of	and elongation) for protein
		drought-tolerance	synthesis
		mechanisms	RNA-binding proteins
			effective for mRNA
			stability
			Change in chromatin
			structure and/or DNA
			topology
		Maintenance of	Stability of mediators of
		mechanisms effective	protein-protein interaction
		for ions sequestration,	Stability of factors to
		osmolite biosynthesis,	effectively utilize pre-
		nuclear protein	existing translation
		transport, regulation of	machinery (“recycling”
		cytoplasmic Ca+2, and	mechanisms) under
		regulation of proteins	drought condition
		effective for
		maintaining protein
		stability and
		conformation
		Maintenance of cellular	Stability of mediators of
		structures	protein-protein interaction
Down-regulated	Early responder	Negative regulation of	Transcription factors and
transcripts	repressors of “normal”	drought response	activators
(level at 1 hr ≈ 6 hr)	state of metabolism	inducible pathways	Change in protein structure
(level at 6 hr > 1 hr)	Genes with	released	by phosphorylation
	discontinued	Changes in	(kinases) or
	expression or	biochemical and signal	dephosphoryaltion
	unsTable mRNA in	transduction pathways	(phosphatases)
	presence of water	and processes operating	Change in chromatin
	stress	in cells	structure and/or DNA
			topology
Down-regulated	Delayed repressors of	Maintenance of	Transcription factors and
transcripts	“normal” state of	drought response	activators
(level at 1 hr > 6 hr)	metabolism	Maintenance of	Kinases and phosphatases
	Genes with	pathways released from	Stability of factors for
	discontinued	repression	protein translation
	expression or	Changes in pathways
	unsTable mRNA in	and processes operating
	presence of water	in cells
	stress

Use of Promoters of Drought Responsive Genes

Promoters of Drought responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Drought responsive genes where the desired sequence is operably linked to a promoter of a Drought responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E.4. Wounding Responsive Genes, Gene Components and Products

Plants are continuously subjected to various forms of wounding from physical attacks including the damage created by pathogens and pests, wind, and contact with other objects. Therefore, survival and agricultural yields depend on constraining the damage created by the wounding process and inducing defense mechanisms against future damage.

Plants have evolved complex systems to minimize and/or repair local damage and to minimize subsequent attacks by pathogens or pests or their effects. These involve stimulation of cell division and cell elongation to repair tissues, induction of programmed cell death to isolate the damage caused mechanically and by invading pests and pathogens, and induction of long-range signaling systems to induce protecting molecules, in case of future attack. The genetic and biochemical systems associated with responses to wounding are connected with those associated with other stresses such as pathogen attack and drought.

Wounding results in the modulation of activities of specific genes and, in consequence, of the levels of key proteins and metabolites. These genes, called here wounding responsive genes, are important for minimizing the damage induced by wounding from pests, pathogens and other objects. Examples of such wounding responsive genes, gene components and products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff, and MA_clust tables. They can be active in all parts of a plant and so where, when and to what extent they are active is crucial for agricultural performance and for the quality, visual and otherwise, of harvested products. They were discovered and characterized from a much larger set of genes by experiments designed to find genes whose products changed in response to wounding.

Manipulation of one or more wounding responsive gene activities is useful to modulate the biological activities and/or phenotypes listed below. Wounding responsive genes and gene products can act alone or in combination with genes induced in other ways. Useful combinations include wounding responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of the levels of such proteins is especially useful for altering phenotypes and biochemical activities of plants. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108574, 108575, 108524, 108525, and Wounding (relating to SMD 3714, SMD 3715)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Wounding genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Wounding Genes Identified by Cluster Analyses of Differential Expression

Wounding Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Wounding genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108574, 108575, 108524, 108525, and Wounding (relating to SMD 3714, SMD 3715) of the MA_diff table(s).

Wounding Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Wounding genes. A group in the MA_clust is considered a Wounding pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Wounding Genes Identified by Amino Acid Sequence Similarity

Wounding genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Wounding genes. Groups of Wounding genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Wounding pathway or network is a group of proteins that also exhibits Wounding functions/utilities.

Such wounding responsive genes and gene products can function either to increase or dampen the phenotypes and activities below, either in response to wounding or in the absence of wounding.

Further, promoters of wounding responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by wounding or any of the following phenotypes or biological activities below.

III.E.4.a. Use of Wounding-Responsive Genes to Modulate Phenotypes

Wounding responsive genes and gene products can be used to alter or modulate one or more phenotypes including growth rate; whole plant height, width, or flowering time; organs (such as coleoptile elongation, young leaves, roots, lateral roots, tuber formation, flowers, fruit, and seeds); biomass; fresh and dry weight during any time in plant life, such as at maturation; number of flowers; number of seedsm seed yield, number, size, weight, harvest index (such as content and composition, e.g., amino acid, nitrogen, oil, protein, and carbohydrate); fruit yield, number, size, weight, harvest index, post harvest quality, content and composition (e.g., amino acid, carotenoid, jasmonate, protein, and starch); seed and fruit development; germination of dormant and non-dormant seeds; seed viability, seed reserve mobilization, fruit ripening, initiation of the reproductive cycle from a vegetative state, flower development time, insect attraction for fertilization, time to fruit maturity, senescence; fruits, fruit drop; leaves; stress and disease responses; drought; heat and cold; wounding by any source, including wind, objects, pests and pathogens; uv and high light damage (insect, fungus, virus, worm, nematode damage).

To regulate any of the phenotype(s) above, activities of one or more of the wounding responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and assayed, for example, in accordance with Johnson et. al. (1998) Plant Physiol 116:643-649, Reymond et. al. (2000) Plant Cell 12 707-720, or Keith et. al. (1991) Proc. Nat. Acad. Sci. USA 888821 8825.

III.E.4.b. Use of Wounding-Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the wounding responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations included in the Table below:

	BIOLOGICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Plant Tissue	Cell Damage Repair; Cell	Flanders (1990) J. Cell Biol.
Proliferation	Division	110: 1111-1122
Wound Induced	Synthesis Of Jasmonic And	Reymond, P and Farmer E. E.
Pathways Providing	Salicylic Acids And The	Current Opinion in Plant
Defense Against	Pathways Induced By These	Biology 1998 1: 404-411
Pests And Pathogens	Signaling Molecules.	Creelman, RA and Mullet, J. E.
	Induction Of Jasmonic Acid	(1997) Ann Rev. Plant
	Independent Defense	Physiol Mol Biol 48: 355-387
	Pathways.	Leon et al. 1998 Mol Gen
	Induction Of Lipoxygenase,	Genet 254: 412-419
	Thionins And Nodulins	Titarentko et al. 1997 Plant
		Physiol 115: 817-826
	Cell Wall Degradation,	Rojo, E. et al. 1998. Plant J
	Ethylene Formation, Systemic	13: 153-165
	Signaling And Induction Of	Ryan, CA and Pearce, G.
	Defense Related Genes	1998. Ann Rev. Cell Dev.
		Biol 14: 1-17
	Specific Rnase Induction	Reymond, P. et al. 2000.
		Plant Cell 12: 707-720
		Glazebrook, J. 1999. Current
		Opinion in Plant Biol. 2: 280-286
		O'Donnel P. J., et al. 1996
		Science 274: 1914-1917
		Rojo et al. 1999. Plant J. 20:
		135-142
		Merkouropoulus G. et al.
		1999 Planta 208: 212-219
		Kariu et al. 1998. Bioscience
		Biotechnology and
		Biochemistry 62: 1144-1151
		Mcoann et al. 1997 PNAS 94:
		5473-5477
Other Stress Induced	Abscisic Acid Formation And	Carrera, E and Prat, S. 1998.
Pathways	Its Signaling Pathway	Plant J 15: 767-771
	Cold Responsive Genes and	Chao et. al. 1999. Plant
	Pathways	Physiol 120: 979-992
	Drought Induced Dehydrins
	And Pathways
Modified Lipid	Membrane Lipid Synthesis	Martin, M et al. 1999 Europe
Motabolism	Including Omega-3 Fatty	J. Biochem 262: 283-290
	Acid Desaturase
	Lipases
	Lipid Transfer Proteins
Modified Sugar And	Induction Of Glycohydrolases
Energy Metabolism	And Glycotransferases,
	Amylases
Modified Protein And	Induction Of
Nitrogen Metabolism	Aminotransferases, Arginase, Proteases
	And Vegetative
	Storage Proteins, Aromatic
	Amino Acid Synthesis
Secondary Metabolite	Aromatic Amino Acid	Keith, B et al. 1991 PNAS 88:
Induction	Synthesis And Secondary	8821-8825
	Metabolites

Other biological activities that can be modulated by wound responsive genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

The MA_diff table reports the changes in transcript levels of various wound responsive genes in the aerial parts of a plant, 1 and 6 hours after the plants were wounded with forceps. The comparison was made with aerial tissues from unwounded plants.

The data from this time course reveal a number of types of wound responsive genes and gene products, including “early responders,” and “delayed responders.” Profiles of the individual wounding responsive genes are shown in the Table below together with examples of the kinds of associated biological activities that are modulated when the activities of one or more such genes vary in plants.

			EXAMPLES OF
TRANSCRIPT	TYPES OF	PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	GENES	CONSEQUENCES	ACTIVITY
Up Regulated	Early Responders	Induction Of Key	Transcription Factors
Transcripts	To Wounding	Signaling Pathways	Kinases And
(Level At 1 h ≈ 6 h)		Within And Between	Phosphatases
Or		Cells
(Level At 1 h > 6 h)		Modulation Of	Jasmonic
		Wounding And Stress	Acid, Salicylic Acid
		Induced Signal	And Nitric Oxide
		Transduction Pathways	Pathway Proteins.
		Specific Gene	Glycohydrolases
		Transcription Initiation	Dehydrins
		Induction Of Repair	Rnases
		Processes Or Cell Death	Metabolic Enzymes
			Nodulins
			Cell Division And
			Cell Wall Proteins
		Reorientation Of	Cold Response
		Metabolism, Including	Proteins
		Management Of Active	Lipoxygenase
		Oxygen	Jacalin
			Proteins To Detoxify
			Active Oxygen
			Species
		Movement Of Wound	Systemin
		Induced Signals Through
		Plant
		Synthesis Of	Biosynthetic
		Phytoalexins And	Enzymes
		Secondary Metabolites
Up Related	Delayed	Maintenance Of	Transcription Factors
Transcripts	Responders	Defence Pathways	Kinases And
(Level At 1 h < 6 h)			Phosphatases
	Genes Involved In	Maintenance Of	Jasmonic
	Wounding	Reorientated Metabolism	Acid, Salicylic Acid
	Response At		And Nitric Oxide
	Distant Sites From		Pathway Proteins
	Wound.
	Genes Involved In	Maintenance Of Wound	Glycohydrolases
	Maintenance Of	Response	Dehydrins
	Wounding	Programmed Cell Death	Rnases
	Response	In Selected Cells	Metabolic Enzymes
		Reorientation Of	Nodulins
		Metabolism	Cold Response
			Proteins
			Lipoxygenase
			Jacalin
			Proteins To Detoxify
			Active Oxygen
			Species
			Cell Division And
			Cell Wall Proteins
		Movement Of Wound	Systemin
		Induced Signals Through
		Plant
		Synthesis Of	Biosynthetic
		Phytoalexins And	Enzymes
		Secondary Metabolites
Down-Regulated	Early	Negative Regulation Of	Transcription Factors
Transcripts	Responder	Wounding Response	Change In Protein
(Level At 1 h ≈ 6 h)	Repressors Of	Pathways Released	Structure By
Or	Wounding		Phosphory-Laton
(Level At 6 Hr > 1 h)	Response		(Kinases) Or
	State		Dephos-Phorylation
			(Phosphatases)
			Change In Chromatin
			Structure And Or
			Dna Topology
	Genes With	Changes In Pathways	Local Changes In
	Discontinued	And Processes Operating	Regulatory Proteins,
	Expression Or	In Cells	Metabolic Enzymes,
	UnsTable		Transporters Etc.
	mRNA
	Following
	Wounding
Down-Regulated	Delayed	Negative Regulation Of	Transcription
Transcripts	Repressors Of	Wounding Response	Factors,
(Level At 1 hr > 6 h)	Wounding	Pathways Released	Phosphatases,
	Response State		Kinases
			Changes In Protein
			Complex Structures
			Chromatin
			Restructuring
			Proteins
	Genes With	Change In Pathways And	Local Changes In
	Discontinued	Process Operating In	Regulatory Proteins,
	Expression Or	Cells	Metabolic Enzymes,
	UnsTable mRNA		Transporters Etc.
	Following	Programmed Cell Death	Most Proteins In
	Wounding		Selected Cells
			Undergoing Death

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the wounding responsive genes when the desired sequence is operably linked to a promoter of a wounding responsive gene.

III.E.5. Methyl Jasmonate (Jasmonate) Responsive Genes, Gene Components and Products

Jasmonic acid and its derivatives, collectively referred to as jasmonates, are naturally occurring derivatives of plant lipids. These substances are synthesized from linolenic acid in a lipoxygenase-dependent biosynthetic pathway. Jasmonates are signalling molecules which have been shown to be growth regulators as well as regulators of defense and stress responses. As such, jasmonates represent a separate class of plant hormones.

Changes in external or internal jasmonate concentration result in modulation of the activities of many genes and gene products. Examples of such “jasmonate responsive” genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield, especially when plants are growing in the presence of biotic or abiotic stresses. They were discovered and characterized from a much larger set of genes by experiments designed to find genes whose mRNA products changed in concentration in response to application of methyl jasmonate to plants.

Manipulation of one or more jasmonate responsive gene activities is useful to modulate the biological activities and/or phenotypes tested below. Jasmonate response genes and gene products can act alone or in combination. Useful combinations include jasmonate responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same co-regulated or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities Such jasmonate responsive genes and gene products can function to either increase or dampen the phenotypes or activities below either in response to changes in jasmonate concentration or in the absence of jasmonate fluctuations. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108568, 108569, 108555). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

MeJA genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

MeJA Genes Identified by Cluster Analyses of Differential Expression

MeJA Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of MeJA genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108568, 108569, 108555 of the MA_diff table(s).

MeJA Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of MeJA genes. A group in the MA_clust is considered a MeJA pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

MeJA Genes Identified by Amino Acid Sequence Similarity

MeJA genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis MeJA genes. Groups of MeJA genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a MeJA pathway or network is a group of proteins that also exhibits MeJA functions/utilities.

Further, promoters of jasmonate responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by jasmonate or any of the following phenotypes or biological activities below.

III.E.5.a. Use of Jasmonate Responsive Genes to Modulate Phenotypes:

Jasmonate responsive genes and their gene products can be used to alter or modulate one or more phenotypes including growth rate, whole plant (including height, flowering time, etc.), seedling, organ, coleoptile elongation, young leaves, roots, lateral roots, tuber formation, flowers, fruit, seeds, biomass; fresh and dry weight during any time in plant life, including maturation and senescence; number of flowers, number of seeds (including secondary metabolite accumulation, alkaloids, anthocyanins; paclitaxel and related taxanes, rosmarinic; seed yield (such as number, size, weight, harvest index, content and composition, e.g., amino acid, jasmonate, oil, protein, and starch); fruit yield (such as number, size, weight, harvest index, post harvest quality, content and composition e.g., amino acid, carotenoid, jasmonate, protein, starch); seed and fruit development; germination of dormant and non-dormant seeds; seed viability; seed reserve mobilization; fruit ripening (such as initiation of the reproductive cycle from a vegetative state); flower development time; insect attraction for fertilization; time to fruit maturity; senescence; fruits, fruit drop; leaves; stress and disease responses; drought; wounding; UV damage; and insect, fungus, virus, or worm damage.

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the jasmonate responsive genes when the desired sequence is operably linked to a promoter of a jasmonate responsive gene.

To improve any of the phenotype(s) above, activities of one or more of the jasmonate responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed, for example, in accordance to citations described below.

III.E.5.b. Use of Jasmonate-Responsive Genes to Modulate Biochemical Activities:

The activities of one or more of the jasmonate responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES AND/OR	CITATIONS INCLUDING
PROCESS	PATHWAYS	ASSAYS
Turnover of proteins	Induction of various	This study. Standard
	proteases, ubiquitin and	biochemical assays.
	proteosome components
	and turnover of RNA
	polymerases and
	translation initiation factors
	Reduction in many
	ribosomal proteins
Activation of nitrogen	Induction of glutamine	Crawford (1995) Plant Cell
metabolism	synthetase, many	7, 859-868
	aminotransferases,	This study. Standard
	vegetative storage proteins	biochemical assays.
Lipid turnover	Induction of various	This study. Standard
	lipases, desaturases, and	biochemical assays.
	reduction of lipid transfer
	protein mRNAs
Sugar metabolism	Induction of sugar	This study. Standard
	transporters, UDP	biochemical assays.
	glucosyltransferases, other
	transferases
Glycolysis and central	Induction of glycolytic	This study. Standard
carbon metabolism	related enzymes. Example,	biochemical assays.
	glucose 6-phosphate
	dehydrogenase,
	glyceraldehyde-3-
	phosphate dehydrogenase,
	phosphoglycerate kinase,
	phosphoglucomutase ATP
	synthase
Chlorosis	Degradation of	Tsuchiya et al. (1999) Proc.
	Chlorophyll	Natl. Acad. Sci. USA
		96: 15362-15367
	Inhibition of	Reinbothe et al. (1993) J.
	Photosynthesis Related	Biol. Chem. 268, 10606-10611
	Proteins
Carbon Assimilation and	Induction of chlorophyll ab	Reinbothe et al. (1993) J.
turnover	binding protein precursor	Biol. Chem. 268, 10606-10611
Jasmonate metabolism	Induction of lipid	This study. Standard
	biosynthesis, myrosinase	biochemical assays.
	and jacalin
Jasmonate mediated signal	Receptor binding	Cho and Pai (2000) Mol
transduction		Cells 10, 317-324
	Protein kinases	Lee et al. (1998) Mol. Gen.
		Genet. 259, 516-522
		Seo et al. (1999) Plant Cell
		11, 289-298
		Yoon et al. (1999) Plant Mol.
		Biol. 39, 991-1001
	Ubiquitination of	Xie et al. (1998) Science 280,
	Repressor Proteins	1091-1094
	Calcium Flux regulators	Bergey and Ryan (1999)
		Plant Mol. Biol. 40, 815-823
	Transcription Activators.	Xiang et al. (1996) Plant
	Example-induction of	Mol. Biol. 32, 415-426
	various zinc finger, myb	Menke et al. (1999) EMBO J.
	and AP-2 related factors	18, 4455-4463
Response to Cell	Lipid Peroxidation	Dubery et al. (2000) Mol.
Membrane Damage		Cell Biol. Res. Commun. 3,
		105-110
Cell Elongation	Inhibition of incorporation	Burnett et al. (1993) Plant
	of Glucose into Cell Wall	Physiol. 103, 41-48
	Saccharides
Cell Organization and	Reductions in	Ishikawa et al. (1994) Plant
Division	tropomyosin related	Mol. Biol. 26, 403-414
	proteins and certain cyclins
	Induction of actins and
	tubulins
Cell Wall Turnover and	Induction of cell wall	Creelman et al. (1992) Proc.
modulation	proteins, glycine-rich	Natl. Acad. Sci. USA 89,
	proteins, annexins, pectate	4938-4941
	lyase and pectin esterases	Garcia-Muniz et al. (1998)
	Reductions in various	Plant Mol. Biol. 38, 623-632
	dehydrins and expansins	Norman et al (1999) Mol.
		Plant Microbe Interact. 12,
		640-644
Stress, Disease, and	Induction of antifungal	Hildmann et al. (1992) Plant
Pathogen Resistance	proteins, wounding	Cell 4, 1157-1170
	responsive proteins,	Reinbothe et al. (1994) Proc.
	dehydrins, heat shock type	Natl. Acad. Sci. USA 91,
	proteins and elicitor	7012-7016
	response proteins	Moons et al. (1997) Plant
		Cell 9, 2243-2259
		Richard et al. (2000) Plant
		Mol. Biol. 43, 1-10
		Van Wees et al. (2000) Proc.
		Natl. Acad. Sci. USA 97,
		8711-8716
	Phytoalexin Biosynthesis	Creelman et al. (1992) Proc.
		Natl. Acad. Sci. USA 89,
		4938-4941
		Choi et al. (1994) Proc. Natl.
		Acad. Sci. USA 91, 2329-2333
	Biosynthesis of phenolics	Doares et al., (1995) Proc.
		Natl. Acad. Sci. USA 92,
		4095-5098
	Production of Protease	Botella et al. (1996) Plant
	Inhibitors	Physiol 112, 1201-1210
	Defense Gene	Mason et al. (1993) Plant
	Transcription in Response	Cell 5, 241-251
	to UV	Schaller et al. (2000) Planta
		210, 979-984
Secondary Metabolite	Fruit Cartenoid	Czapski and Saniewski
biosynthesis	Composition	(1992) J. Plant Physol. 139,
		265-268
	Palitaxel and Related	Yukimune et al. (1996)
	Taxanes	Nature Biotech. 14, 1129-1132
	Alkaloids	Aerts et al. (1994) Plant J. 4,
		635-643
		Geerlings et al. (2000) J.
		Biol. Chem. 275, 3051-3056
	Anthocyanins	Franceschi et al. (1991) Proc.
		Natl. Acad. Sci. USA 83,
		6745-6749
	Rosmarinic	Mizukami et al., (1993) Plant
		Cell Reprod. 12, 706-709
	Activation of Ethylene-	Czapski and Saniewski
	forming Enzyme and	(1992) J. Plant Physiol. 139,
	Production of Ethylene	265-268

Other biological activities that can be modulated by the jasmonate responsive genes and their products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Domain section of the Reference Tables.

Jasmonate responsive genes are characteristically differentially transcribed in response to fluctuating jasmonate levels or concentrations, whether internal or external to an organism or cell. The MA_diff table(s) report(s) the changes in transcript levels of various jasmonate responsive genes in the aerial parts of a seedling at 1 and 6 hours after being sprayed with Silwet L-77 solution enriched with methyl jasmonate as compared to seedlings sprayed with Silwet L-77 alone.

The data from this time course reveal a number of types of jasmonate responsive genes and gene products, including “early responders” and “delayed responders”. Profiles of the individual kinds of jasmonate responsive genes are shown in the Table below, together with examples of the kinds of associated biological activities that are modulated when the activities of such genes vary.

GENE	FUNCTIONAL	TYPE OF	EXAMPLES OF
EXPRESSION	CATEGORY OF	BIOLOGICAL	BIOCHEMICAL
LEVELS	GENE	ACTIVITY	ACTIVITY
Upregulated	Early Responders to	Binding and	Transcription Factors
genes	Jasmonate	Perception of	Transporters
(Level at 1 hour ≅		Jasmonate
6 hours).		Transduction of	Kinases, Phosphatases,
(Level at 1 hour >		Jasmonate signal	Leucine-rich Repeat
6 hours)		transduction response	Proteins (LRRs), GTP-
		pathways	binding proteins (G-
			proteins), calcium-
			binding proteins and
			calcium responsive
			proteins
		Initiation of Specific	Proteases, lipases,
		Gene Transcription to	glutamine synthetase
		reorientate	(GS), arginase,
		metabolism	aminotransferases,
			glycosyltransferases,
			sugar transporters, cell
			wall proteins, methyl
			transferases, glycolytic
			enzymes.
Upregulated	Delayed Jasmonate	Maintenance of	Enzymes of methyl
genes	Responders	Metabolism under	jasmonate-induced
(Level at 1 hour <		high Jasmonate	pathways, including
6 hours)			dehydrin, phytoalexin,
			phenolic, carotenoid,
			alkaloid and
			anthocyanin
			biosynthesis.
		Jasmonate signal	Transcription factors,
		Tranduction Response	Transporters, Kinases
		Pathways	and phosphatases
		Gene Transcription to	Proteases, Lipases,
		Reorientate	Glutaminae
		Metabolism	Synthetase, Arginase,
			Aminotransferases,
			Lipid Peroxidases,
			Glycosyltransferases,
			Sugar transporters,
			Cell Wall Proteins,
			Glycolytic Enzymes,
			Chlorophyll Binding
			Proteins
		Gene Transcription to	Transcription factors,
		Maintain Reorientated	kinases, phosphatases,
		Metabolism	LRRs, G-proteins
		Reorient Cell	Actins, Tubulins,
		Division and Cell	Myosins Cyclins,
		Development	Cyclin-dependent
			Kinases (CDPKs)
			Glycosyl Transferases,
			Glycosyl hydrolases,
			Expansins, Extensins,
			O-Methyl
			Transferases
			Arabinogalactan-
			proteins (AGPs),
			Enzymes of Lipid
			Biosynthesis, Cutinase
Down regulated	Early responders of	Relese of Suppression	Transcription Factors,
transcripts	Jasmonate	of Jasmonate Induced	Kinases, Phosphatases,
(level at 1 hour =		Pathways	LRRs, G-Proteins,
6 hours)			Chromatin
(level at 6 hours >			Restructuring proteins,
1 hour)	Genes with	Reorientation of	Ribosomal proteins,
	discontinued	metabolism	Translation Factors,
	expression or		Histones, RNA
	unsTable mRNA		polymerases, Pectin
	following Jasmonate		esterase, Lipid transfer
	uptake		proteins
Down regulated	Genes with	Negative Regulation	Transcription factors
transcripts	Discontinued	of Jasmonate Induced	Kinases, Phosphatases
(level at 1 hour >	expression or	Pathways Released.	Chromatin
6 hours)	UnsTable mRNA		Restructuring Proteins,
	Following Jasmonate		LRRs, G-proteins
	uptake
		Reorientation of	Ribosomal proteins,
		metabolism	Translation Factors,
			Histones
			RNA Polymerases,
			Cyclins
			Pectin esterase, Lipid
			Transfer Proteins

Use of Promoters of Jasmonate Responsive Genes

Promoters of Jasmonate responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Jasmonate responsive genes where the desired sequence is operably linked to a promoter of a Jasmonate responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E.6. Reactive Oxygen Responsive Genes, Gene Components and H2O2 Products

Often growth and yield are limited by the ability of a plant to tolerate stress conditions, including pathogen attack, wounding, extreme temperatures, and various other factors. To combat such conditions, plant cells deploy a battery of inducible defense responses, including triggering an oxidative burst. The burst of reactive oxygen intermediates occurs in time, place and strength to suggest it plays a key role in either pathogen elimination and/or subsequent signaling of downstream defense functions. For example, H₂O₂ can play a key role in the pathogen resistance response, including initiating the hypersensitive response (HR). HR is correlated with the onset of systemic acquired resistance (SAR) to secondary infection in distal tissues and organs.

Changes in reactive oxygen, such as H₂O₂ or O₂⁻, in the surrounding environment or in contact with a plant results in modulation of the activities of many genes and hence levels of gene products. Examples of such reactive oxygen responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff and MA_clust tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. The genes were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to application of reactive oxygen, such as H₂O₂, to plants.

Manipulation of one or more reactive oxygen responsive gene activities is useful to modulate the following biological activities and/or phenotypes listed below. Reactive oxygen responsive genes and gene products can act alone or in combination. Useful combinations include reactive oxygen responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants.

Such reactive oxygen responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in reactive oxygen concentration or in the absence of reactive oxygen fluctuations. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108582, 108583, 108537, 108538, 108558, and H2O2 (relating to SMD 7523)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Reactive Oxygen genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Reactive Oxygen Genes Identified by Cluster Analyses of Differential Expression

Reactive Oxygen Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Reactive Oxygen genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108582, 108583, 108537, 108538, 108558, and H2O2 (relating to SMD 7523) of the MA_diff table(s).

Reactive Oxygen Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Reactive Oxygen genes. A group in the MA_clust is considered a Reactive Oxygen pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Reactive Oxygen Genes Identified by Amino Acid Sequence Similarity

Reactive Oxygen genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Reactive Oxygen genes. Groups of Reactive Oxygen genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Reactive Oxygen pathway or network is a group of proteins that also exhibits Reactive Oxygen functions/utilities.

Further, promoters of reactive oxygen responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by reactive oxygen or any of the following phenotypes or biological activities below.

III.E.6.a. Use of Reactive Oxygen Responsive Genes to Modulate Phenotypes

Reactive oxygen responsive genes and gene products are useful to or modulate one or more phenotypes including pathogen tolerance and/or resistance; Avr/R locus sensitive; non-host sensitive; HR; SAR (e.g., where the reactive oxygen responsive gene and products are modulated in conjunction with any of the bacterial, fungal, virus, or other organism listed below); bacteria resistance, e.g. to Erwinia stewartii, Pseudomonas syringae, Pseudomonas tabaci, Stuart's wilt, etc.; fungal resistance including to downy mildews such as Scleropthora macrospora, Sclerophthora rayissiae, Sclerospora graminicola, Peronosclerospora sorghi, Peronosclerospora philippinensis, Peronosclerospora sacchari, Peronosclerospora maydis; rusts such as Puccinia sorphi, Puccinia polysora, Physopella zeae, etc.; other fungal diseases such as Cercospora zeae-maydis, Colletotrichum graminicola, Fusarium monoliforme, Exserohilum turcicum, Bipolaris maydis, Phytophthora parasitica, Peronospora tabacina, Septoria, etc.; virus or viroid resistance, e.g. to tobacco or cucumber mosaic virus, ringspot virus, necrosis virus, pelargonium leaf curl virus, red clover mottle virus, tomato bushy stunt virus, and like viruses; insect resistance, such as to aphids e.g. Myzus persicae; beetles, beetle larvae; etc.; nematodes, e.g. Meloidogyne incognita; lepidoptera, e.g. Heliothus spp. etc.; resistance specifically in primary or secondary leaves; stress tolerance; winter survival; cold tolerance; heavy metal tolerance, such as cadmium; physical wounding; increased organelle tolerance to redox stress, such as in mitochondria, and chloroplasts; cell death; apoptosis, including death of diseased tissue; senescence; fruit drop; biomass; fresh and dry weight during any time in plant life, such as maturation; number of flowers, seeds, branches, and/or leaves; seed yield, including number, size, weight, and/or harvest index; fruit yield, including number, size, weight, and/or harvest index; plant development; time to fruit maturity; cell wall strengthening and reinforcement; plant product quality, e.g. paper making quality); food additives; treatment of indications modulated by free radicals, and cancer

To regulate any of the phenotype(s) above, activities of one or more of the reactive oxygen responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and assayed, for example, in accordance to Alvarez et al., (1998) Cell 92: 773-784; Halhbrock and Scheel, (1989) Ann. Rev. Plant Physiol. Plant Mol. Biol. 40: 347-369; Lamb et al., (1997) Ann. Rev. Plant Mol. Biol. Plant Physio. 48: 251-275; Lapwood et al. (1984) Plant Pathol. 33: 13-20; Levine et al. (1996) Curr. Biol. 6: 427-437; McKersie et al., (2000) Plant Physiol. 122(4): 1427-1437; Olson and Vamer (1993) Plant J. 4: 887-892; Pastore et al., (2000), FEBS Lett 470(1): 88-92; Pastori et al., (1997) Plant Physiol. 113: 411-418. Romero-Puertas et al., (1999) Free Radic. Res. 1999 31 Suppl: S25-31; Shirataki et al., Anticancer Res 20(1A): 423-426 (2000); Wu et al., (1995) Plant Cell 7: 1357-1368;

III.E.6.b. Use of Reactive Oxygen Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the reactive oxygen responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations above and included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Reinforcement of	Modulation Of The Production Of	Bradley et al. 1992. Cell 70,
Cell Walls	ExtracTable Proline-Rich Protein	21-30
	Modulation Of Lignification	Mansouri et al. (1999) Physiol
		Plant 106: 355-362
Stress, Disease,	Induction Of Pathogenesis Related	Chamnongpol et. al.(1998)
Pathogen Resistance	Proteins, Phytoalexins And Many	Proc. Nat. Acad Sci USA
and Wounding	Defense Pathways.	12; 95: 5818-23.
	Induction Of Detoxifying	Davis et al. (1993)
	Enzymes Such As Glutathione S-	Phytochemistry 32: 607-611.
	Transferase And Ascorbate	Chen et. al. Plant J. (1996)
	Peroxidase	10: 955-966
	Disease Resistance	Gadea et. al.(1999) Mol Gen
		Genet 262: 212-219
		Wu et. al.(1995) Plant Cell 7:
		1357-68
	Reactive Oxygen Generation	Orozco-Cardenas and Ryan
	Following Wounding And	(1999) Proc. Nat. Acad. Sci.
	Changes In Physical Pressure	USA 25; 96: 6553-7.
		Yahraus et al. (1995) Plant
		Physiol. 109: 1259-1266
	Modulation Of Genes Involved In	LEGENDRE ET AL. (1993)
	Wound Repair And Cell Division	PLANT PHYSIOL. 102: 233-240
	Modulation Of Nitric Oxide	DELLEDONNE ET AL.
	Signaling	(1998) NATURE 394: 585-588
	Salicyclic Acid Accumulation And	DURNER AND KLESSIG
	Signaling	(1996) J. BIOL. CHEM.
		271: 28492-501
Programmed Cell	Induction Of Cell Death Pathway	LEVINE ET AL. (1996)
Death	Genes	CURR. BIOL. 6: 427-437.
		REYNOLDS ET. AL.(1998)
		BIOCHEM. J. 330: 115-20

Other biological activities that can be modulated by the reactive oxygen responsive genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Reactive oxygen responsive genes are characteristically differentially transcribed in response to fluctuating reactive oxygen levels or concentrations, whether internal or external to an organism or cell. The MA_diff table reports the changes in transcript levels of various reactive oxygen responsive genes in the aerial parts of a plant at 1 and 6 hours after the plant was sprayed with Silwett L-77 solution enriched with hydrogen peroxide as compared to plants sprayed with Silwett L-77 alone.

The data from this time course reveal a number of types of reactive oxygen responsive genes and gene products, including “early responders,” and “delayed responders”. Profiles of individual reactive oxygen responsive genes are shown in the Table below together with examples of which associated biological activities are modulated when the activities of one or more such genes vary in plants.

			EXAMPLES OF
GENE	FUNCTIONAL		BIOCHEMICAL
EXPRESSION	CATEGORY OF	PHYSIOLOGICAL	ACTIVITY
LEVELS	GENE	CONSequence	OF GENE PRODUCTS
Upregulated	Early Responders	Perceiving	Transcription Factors
transcripts	To	Reactive Oxygen	Kinases And Phosphatases
(Higher at 1 h	Reactive Oxygen	Reactive Oxygen	Transporters
Than 6 h)		Response	Glutathione S-Transferase
(Level at 1 h ≅		Transduction	Heat Shock Proteins
6 h)		Pathways	Salicylic Acid Response
		Initiating Specific	Pathway Proteins
		Gene Transcription	Jasmonic Acid Pathway
			Proteins
			Dehydrins
			Peroxidases
			Catalase
			Proteases
			Pathogen Response Proteins
			Ca 2+ Channel Blockers
			Phenylalanine Ammonia
			Lyase
Upregulated	Delayed Reactive	Maintenance Of	Transcription Factors
transcripts	Oxygen	Defence Pathways	Kinases And Phosphatases
(Lower at 1 h	Responders	To Control Active	Reactive Oxygen
Than 6 h)		Oxygen	Scavenging Enzymes
		Activation Of Cell	Cell Wall And Cell
		Death Pathways In	Division/Growth Promoting
		Specific Cells	Pathway Enzymes
			Pathogen Response
			Proteins
			Proteins Of Defence
			Pathways
			Proteases, Cellulases,
			Nucleases And Other
			Degrading Enzymes.
			Membrane Proteins
			Mitochondrial And
			Chloroplast Energy Related
			Proteins
Downregulated	Early Responder	Negative	Transcription Factors
transcripts	Repressors Of	Regulation Of	Kinases And Phosphatases
Level at 1 h ≅ 6 h	Reactive Oxygen	Reactive Oxygen-	Chromatin Remodelling
Level at 6 h > 1 h.	Response	Inducible Pathways	Proteins
	Pathways	Released
Down Regulated	Genes Of	Reduction In	Metabolic Enzymes In
Transcripts	Pathways That	Activities Of	Affected Cells
(Level at 1 h > 6 h	Are Minimized In	Pathways Not	Membrane Proteins And
	Response To	Maintained Under	Cell Wall Proteins
	Reactive Oxygen	High Reactive	Transcription Factors
	Delayed	Oxygen	Kinases And Phosphatases
	Responder	Negative	Chromatin Remodelling
	Repressors Of	Regulation Of	Proteins
	Reactive Oxygen	Reactive Oxygen
	Response	Inducible Pathways
	Pathways	Released
	Genes Of	Reduction In	Metabolic Enzymes In
	Pathways That	Activities Of	Affected Cells
	Are Minimised In	Pathways Not	Membrane Proteins And
	Response To	Maintained Under	Cell Wall Proteins
	Reactive Oxygen	Reactive Oxygen
		Programmed Cell	Many Proteins In Cells
		Death	Undergoing Cell Death Or In
			Damaged Cells

Further, promoters of reactive oxygen responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by reactive oxygen or any of the following phenotypes or biological activities below.

III.E.7. Salicylic Acid Responsive Genes, Gene Components and Products

Plant defense responses can be divided into two groups: constitutive and induced. Salicylic acid (SA) is a signaling molecule necessary for activation of the plant induced defense system known as systemic acquired resistance or SAR. This response, which is triggered by prior exposure to avirulent pathogens, is long lasting and provides protection against a broad spectrum of pathogens. Another induced defense system is the hypersensitive response (HR). HR is far more rapid, occurs at the sites of pathogen (avirulent pathogens) entry and precedes SAR. SA is also the key signaling molecule for this defense pathway.

Changes in SA concentration in the surrounding environment or within a plant results in modulation of many genes and gene products. Examples of such SA responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff and MA_clust tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to SA treatment.

While SA responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different SA responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of SA responsive polynucleotides and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress and pathogen induced pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common and overlapping pathways.

Such SA responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in SA concentration or in the absence of SA fluctuations. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108586, 108587, 108515, 108552, 108471, 108472, 108469, 108470, 107953, 107960, 108443, 108440, 108441, 108475, 108476). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

SA genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

SA Genes Identified by Cluster Analyses of Differential Expression

SA Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of SA genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108586, 108587, 108515, 108552, 108471, 108472, 108469, 108470, 107953, 107960, 108443, 108440, 108441, 108475, 108476 of the MA_diff table(s).

SA Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of SA genes. A group in the MA_clust is considered a SA pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

SA Genes Identified by Amino Acid Sequence Similarity

SA genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis SA genes. Groups of SA genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a SA pathway or network is a group of proteins that also exhibits SA functions/utilities.

Further, promoters of SA responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by SA or any of the following phenotypes or biological activities below.

III.E.7.a. Use of Salicylic Acid-Responsive Genes to Modulate Phenotypes

SA responsive genes and gene products are useful to or modulate one or more phenotypes including pathogen tolerance and/or resistance; Avr/R locus Interactions; non-host interactions; HR; SAR, e.g., SA responsive genes and/or products in conjunction with any of the organisms listed below; resistance to bacteria e.g. to Erwinia stewartii, Pseudomonas syringae, Pseudomonas tabaci, Stuart's wilt, etc.; resistance to fungi e.g. to Downy mildews such as Scleropthora macrospora, Sclerophthora rayissiae, Sclerospora graminicola, Peronosclerospora sorghi, Peronosclerospora philippinensis, Peronosclerospora sacchari, Peronosclerospora maydis; rusts such As Puccinia sorphi, Puccinia polysora, Physopella zeae, etc.; and to other fungal diseases e.g. Cercospora zeae-maydis, Colletotrichum graminicola, Fusarium monoliforme, Exserohilum turcicum, Bipolaris maydis, Phytophthora parasitica, Peronospora tabacina, Septoria, etc.; resistance to viruses or viroids e.g., to Tobacco or Cucumber Mosaic Virus, Ringspot Virus, Necrosis Virus, Pelargonium Leaf Curl Virus, Red Clover Mottle Virus, Tomato Bushy Stunt Virus, and like viruses; resistance to insects, such as to aphids e.g. Myzus persicae; to beetles and beetle larvae; to lepidoptera larvae e.g. Heliothus etc.; resistance to nematodes, e.g. Meloidogyne incognita etc.; local resistance in primary (infected) or secondary (uninfected) leaves; stress tolerance; winter survival; cold tolerance; salt tolerance; heavy metal tolerance, such as cadmium; tolerance to physical wounding; increased organelle tolerance to redox stress (such as in mitochondria, and chloroplasts); cell death; programmed cell death, including death of diseased tissue and during senescence); fruit drop; biomass; fresh and dry weight during any time in plant life, such as maturation; number of flowers, seeds, branches, and/or leaves; seed yield, including number, size, weight, and/or harvest index; fruit yield, including number, size, weight, and/or harvest index; plant development; time to fruit maturity; cell wall strengthening and reinforcement; plant product quality; e.g. paper making quality);food additives; treatment of indications modulated by free radicals; and cancer.

To regulate any of the desired phenotype(s) above, activities of one or more of the SA responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Zhao et al. (1998, Plant Cell 10:359-70) and Alvarez et al. (1998, Cell 92: 733-84).

III.E.7.b. Use of Salicylic Acid-Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the SA responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATION INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Protection From Microbial	Systemic Acquired Resistance	Alvarez et al. (1998) Cell
Pathogens	(SAR)	92: 733-84
	Phytoalexin Biosynthesis	Lapwood et al. (1984) Plant
	PR Protein Biosynthesis	Pathol. 33: 13-20
	Local Resistance	Davis et al. (1993)
	Wound Response	Phytochemistry 32: 607-11
		Yahraus et al. (1995) Plant
		Physiol. 109: 1259-66
Cell Signaling	Modulation Of Reactive	Alvarez et al. (1998) Cell
	Oxygen Signaling	92: 773-784
	Modulation Of No Signaling	Delledonne et al. (1998)
		Nature 394: 585-588
Growth And Development	Lignification	Redman et al. (1999) Plant
		Physiol. 119: 795-804

Other biological activities that can be modulated by the SA responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Salicylic acid responsive genes are characteristically differentially transcribed in response to fluctuating SA levels or concentrations, whether internal or external to an organism or cell. The MA_diff table reports the changes in transcript levels of various SA responsive genes in entire seedlings at 1 and 6 hours after the seedling was sprayed with a Hoagland's solution enriched with SA as compared to seedlings sprayed with Hoagland's solution only.

The data from this time course can be used to identify a number of types of SA responsive genes and gene products, including “early responders” and “delayed responders.” Profiles of these different SA responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
GENE	FUNCTIONAL		BIOCHEMICAL
EXPRESSION	CATEGORY	PHYSIOLOGICAL	ACTIVITIES OF GENE
LEVELS	OF GENE	CONSEQUENCES	PRODUCTS
Upregulated Genes	Early	SA Perception	Transcription Factors
(Level At 1 h ≅ 6 h)	Responders To	SA Uptake	Transporters, Kinases,
Or	SA	Modulation Of SA	Phosphatases, G-
(Level At 1 h > 6 h)		Response Transduction	Proteins, LRR, DNA
		Pathways	Remodelling Proteins
Upregulated Genes	Delayed	Specific Defensegene	Proteases, PRProteins,
(Level At 1 h < 6 h)	Responders To	Transcription Initiation	Cellulases, Chitinases,
	SA	(E. G. Pr Genes, Pal	Cutinases, Other
			Degrading Enzymes, Pal,
			Proteins Of Defense
			Pathways, Cell Wall
			Proteins
			Epoxide Hydrolases,
			Methyl Transferases
Downregulated	Early	Negative Regulation	Transcription factors,
(Level At 1 h ≅ 6 h)	Responder	Of SA Inducible	kinases, phosphatases, G-
Or	Repressors To	Pathways Released	proteins, LRR,
(Level At 6 h > 1 h)	SA		transporters, calcium
	Genes With		binding proteins,
	Discontinued		chromatin remodelling
	Expression Or		protein
	UnsTable
	mRNA In The
	Presence Of SA
Down-Regulated	Delayed	Negative Regulation Of	Transcription Factors,
Transcripts	Responders To	SA Inducible Pathways	Kinases, Phosphatases,
(Level At 1 h > 6 h)	SA Metabolism	Released	G-Proteins, LRR,
	Genes With		Transporters, Calcium
	Discontinued		Binding Proteins,
	Expression Or		Chromatin Remodelling
	UnsTable		Protein
	mRNA In The
	Presence Of SA

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the SA responsive genes when the desired sequence is operably linked to a promoter of a SA responsive gene.

III.E.8. Nitric Oxide Responsive Genes, Gene Components and Products

The rate-limiting element in plant growth and yield is often its ability to tolerate suboptimal or stress conditions, including pathogen attack conditions, wounding and the presence of various other factors. To combat such conditions, plant cells deploy a battery of inducible defense responses, including synergistic interactions between nitric oxide (NO), reactive oxygen intermediates (ROS), and salicylic acid (SA). NO has been shown to play a critical role in the activation of innate immune and inflammatory responses in animals. At least part of this mammalian signaling pathway is present in plants, where NO is known to potentiate the hypersensitive response (HR). In addition, NO is a stimulator molecule in plant photomorphogenesis.

Changes in nitric oxide concentration in the internal or surrounding environment, or in contact with a plant, results in modulation of many genes and gene products. Examples of such nitric oxide responsive genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. They were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to nitric oxide treatment.

While nitric oxide responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different nitric oxide responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of the levels of such proteins is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a nitric oxide responsive polynucleotide and/or gene product with other environmentally responsive polynucleotides is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, pathogen stimulated pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108584, 108585, 108526, 108527, 108559). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

NO genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

NO Genes Identified by Cluster Analyses of Differential Expression

NO Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of NO genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108584, 108585, 108526, 108527, 108559 of the MA_diff table(s).

NO Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of NO genes. A group in the MA_clust is considered a NO pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

NO Genes Identified by Amino Acid Sequence Similarity

NO genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis NO genes. Groups of NO genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a NO pathway or network is a group of proteins that also exhibits NO functions/utilities.

Such nitric oxide responsive genes and gene products can function either to increase or dampen the above phenotypes or activities either in response to changes in nitric oxide concentration or in the absence of nitric oxide fluctuations. Further, promoters of nitric oxide responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by nitric oxide or any of the following phenotypes or biological activities below.

III.E.8.a. Use of Nitric Oxide-Responsive Genes to Modulate Phenotypes:

Nitric oxide responsive genes and gene products are useful to or modulate one or more phenotypes including Stress Responses, Mediation of response to stresses, Disease resistance, Growth, Roots, Stems, Leaves, Cells, Promotes leaf cell elongation, Biomass; Fresh and Dry Weight during any time in plant life, such as at maturation; Size and/or Weight; Flowers, Seeds, Branches, Leaves, Roots, Development, Seed Development, Dormancy; Control rate and timing of germination, Prolongs seed storage and viability; and Senescence.

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the nitric responsive genes when the desired sequence is operably linked to a promoter of a nitric responsive gene.

To regulate any of the desired phenotype(s) above, activities of one or more of the nitric oxide responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998) Methods. Mol. Biol. 82: 259-266 and/or screened for variants as described in Winkler et al. (1998) Plant Physiol. 118: 743-50 and visually inspected for the desired phenotype. Alternatively, plants can be metabolically and/or functionally assayed according to Beligni and Lamattina (2000) Planta 210: 215-21), Lapwood et al (1984) Plant Pathol 33: 13-20, and/or Brown and Botstein (1999) Nature Genet. 21: 33-37.

III.E.8.b. Use of Nitric Oxide-Responsive Genes to Modulate Biochemical Activities:

The activities of one or more of the nitric oxide responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Stress Response	Programmed Cell Death	Levine et al (1996) Curr.
		Biol 6: 427-37
		Sellins and Cohen (1991)
	Reactive Oxygen based Defence	Radiat. Res. 126: 88-95
	Pathways	Kumar and Klessig (2000)
		Mol. Plant Microbe
		Interact. 13: 347-351
Disease Resistance	Microbial Pathogen resistance	Lapwood et al (1984) Plant
	pathways	Pathol 33: 13-20
		Kumar and Klessig (2000)
		Mol. Plant microbe
		interact.13: 347-351
		Klessig et. al.(2000) Proc.
		Nat. Acad. Sci USA 97:
		8849-8855
		Delledonna et al(1998)
		Nature 394: 585-588
	Programmed Cell Death	Levine et al (1996) Curr.
		Biol 6: 427-437
		Sellins and Cohen (1991)
		Radiat. Res. 126: 88-95
	Cellular Protectant Gene	Brown and Botstein (1999)
	expression	Nat Genet 21: 33-37
	Phytoalexin Biosynthesis	Davis et al. (1993)
		Phytochemistry 32: 607-611
Signal Transduction	Regulation of hydrogen peroxide	Wu et al. (1995) Plant Cell
	signaling	7, 1357-1368
Reorientation of nitrogen	Induction of ribosomal proteins,	This study. Standard
metabolism	asparagine synthesis, proteases,	assays for detection of
	Rnases	changes
Reorientation of sugar and	Induction of sugar transporters,	This study. Standard
energy metabolism	ATPases, glycohydrolases, and	assays for detection of
	glycolytic enzymes, for example	changes

Other biological activities that can be modulated by the NO responsive genes and gene products are listed in the Reference Tables. Assays for detecting such biological activities are described in the Protein Domain table.

NO responsive genes are characteristically differentially transcribed in response to fluctuating NO levels or concentrations, whether internal or external to an organism or cell. The MA_diff table(s) report(s) the changes in transcript levels of various NO responsive genes in aerial tissues at 1 and 6 hours after a plant was sprayed with a Silwett L-77 solution enriched with 5 mM sodium nitroprusside, which is an NO donor. These changes are in comparison with plants sprayed with Silwett L-77 solution only.

The data from this time course can be used to identify a number of types of NO responsive genes and gene products, including “early responders” and “delayed responders” Profiles of these different nitric oxide responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

GENE	FUNCTIONAL		EXAMPLES OF
EXPRESSION	CATEGORY OF	PHYSIOLOGICAL	BIOCHEMICAL
LEVEL	GENE	CONSEQUENCES	ACTIVITY
Upregulated genes	Early responder	NO Perception	Transcription Factors
(level at 1 hour ≅ 6	repressors to NO	NO Uptake
hours)		Modulation of NO	Transporters
(level at 1 hour > 6		Response Transduction	Pathogen responsive
hours)		Pathways	proteins, salicylic and
			jasmonate pathway
			proteins
		Specific Gene	Proteins to provide
		Transcription Initiation	defence against active
		of Pathways to	oxygen e.g. glutathione
		Optimize NO Response	transferase, ascorbate
		Pathways	free radical reductase,
			ascorbate peroxidase,
			nitrilase, heat shock
			proteins
			Proteins to reorient
			metabolism
			e.g. proteases, Rnases,
			proteasomes,
			asparagine synthetase,
			glycohydrolases,
			transporters
			Proteins to inhibit
			transport of nitric oxide
			Degradation enzymes
Upregulated	Delayed NO	Maintenance of	NO Metabolic
transcripts	responders	metabolism in presence	Pathway enzymes
(level at 1 hour < 6		of High NO	Pathogen responsive
hours)		Maintenace of disease	proteins, salicylic and
		defence pathways	jasmonate pathway
			proteins
		Maintenance of	Proteins to provide
		pathways against	defence against active
		reactive oxygen	oxygen e.g. glutathione
		production	transferase, ascorbate
			free radical reductase,
			ascorbate peroxidase,
			nitrilase, heat shock
			proteins
		Maintenance of	Proteins to reorient
		different metabolic	and sustain metabolism
		programs	e.g. proteases, Rnases, proteasomes,
			asparagine
			synthetase, glycohydrolases,
			transporters,
			Proteins to inhibit
			transport of NO
		Selective cell death	Degradation enzymes
Down Regulated	Early responders of	Negative regulation of	Transcription factors
Transcripts	NO utilization	NO utilization	Kinases and
(level at 1 hours ≅ 6	pathways	pathways released	phosphatases
hours)			Chromatin
(level at 6 hours > 1			restructuring proteins
hour)	Genes with	Reorientation of	Transcription
	discontinued	metabolism	factors, metabolic
	expression or		enzymes, kinases and
	unsTable mRNA		phosphatases,
	following nitric oxide		transporters, ribosomal
	uptake		proteins
		Programmed cell death	Most proteins in cells
			undergoing cell death
Down Regulated	Delayed responder	Negative regulation of	Transcription factors
Transcripts	repressors of NO	NO utilization	Kinases and
(level at 1 hour > 6	stress metabolism	pathways released	phosphatases
hours)			Chromatin
			restructuring proteins
	Genes with	Reorientation of	Transcription
	discontinued	metabolism	factors, metabolic
	expression or		enzymes, kinases and
	unsTable		phosphatases,
	mRNA following		transporters, ribosomal
	nitric oxide uptake		proteins.
		Programmed cell death	Most proteins in cells
			undergoing
			programmed cell death

Use of Promoters of NO Responsive Genes

Promoters of NO responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the NO responsive genes where the desired sequence is operably linked to a promoter of a NO responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.9. Osmotic Stress Responsive Genes, Gene Components and Products

The ability to endure and recover from osmotic and salt related stress is a major determinant of the geographical distribution and productivity of agricultural crops. Osmotic stress is a major component of stress imposed by saline soil and water deficit. Decreases in yield and crop failure frequently occur as a result of aberrant or transient environmental stress conditions even in areas considered suitable for the cultivation of a given species or cultivar. Only modest increases in the osmotic and salt tolerance of a crop species would have a dramatic impact on agricultural productivity. The development of genotypes with increased osmotic tolerance would provide a more reliable means to minimize crop losses and diminish the use of energy-costly practices to modify the soil environment.

Changes in the osmotic concentration of the surrounding environment or within a plant results in modulation of many genes and gene products. Examples of such osmotic stress responsive genes and gene products, including salt responsive genes, are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff and MA_clust tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield.

While osmotic and/or salt stress responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different osmotic stress responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of an osmotic stress responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in a common pathway.

Such osmotic and/or salt stress responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in osmotic concentration or in the absence of osmotic fluctuations. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: 108570, 108571, 108541, 108542, 108553, 108539, 108540). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Osmotic Stress genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Osmotic Stress Genes Identified by Cluster Analyses of Differential Expression

Osmotic Stress Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Osmotic Stress genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID 108570, 108571, 108541, 108542, 108553, 108539, 108540 of the MA_diff table(s).

Osmotic Stress Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Osmotic Stress genes. A group in the MA_clust is considered a Osmotic Stress pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Osmotic Stress Genes Identified by Amino Acid Sequence Similarity

Osmotic Stress genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Osmotic Stress genes. Groups of Osmotic Stress genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Osmotic Stress pathway or network is a group of proteins that also exhibits Osmotic Stress functions/utilities.

Further, promoters of osmotic stress responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by osmotic stress or any of the following phenotypes or biological activities below.

III.E.9.a. Use of Osmotic Stress Responsive Genes to Modulate Phenotypes

Osmotic stress responsive genes and gene products are useful to or modulate one or more phenotypes including growth; roots; stems; leaves; development (such as cell growth by DNA synthesis and cell division, seed development (with regard to desiccation tolerance and dormancy, such as control rate of germination and prolongs seed storage and viability and senescence); stress responses; desiccation; drought; and salt.

To regulate any of the phenotype(s) above, activities of one or more of the osmotic stress responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to de Castro (1998, Phytochemistry 47: 689-694), Xu (1998, J Exp Bot 49: 573-582), Ausubel et al. (In: Current Protocols in Molecular Biology (1999) Volume 1, chapter 4, eds. Ausubel, Brent, Kingston, Moore, Seidman, Smith and Struhl, New York, N.Y.) and De Castro et al. (2000, Plant Physiol 122: 327-36)

III.E.9.b. Use of Osmotic Stress Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the osmotic stress responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR	CITATIONS
	METABOLIC ACTIVITIES	INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Cell Growth And	Regulation Of Osmolyte	Yoshu et al. (1995)
Differentiation	Synthesis	The Plant Journal
		7: 751-60
	Regulation Of Glycolate Pathway	Streb et al. (1993)
	And Photoinhibition Of	Physiologia
	Photosystem II In Response To	Plantarum. 88: 590-598
	Stress
Gene Regulation	Transcriptional Regulation Of	Current Protocols in
	Osmotic Stress Induced Proteins	Molecular Biology/edited
	Through DNA Binding Proteins	by Frederick M. Ausubel..
		[et al.]. NewYork:
		Published by Greene Pub.
		Associates and Wiley-
		Interscience: J. Wiley,
		c1987
	Transcriptional Regulation Of	Jonak (1996) Proceedings
	Osmotic Stress Induced Proteins	of the National Academy of
	Through Protein Phosphorylation	Sciences of the United
	And Dephosphorylation	States of America, 93:
		11274-11279;
		Monroy, A. et al.,
		(1998)
		Analytical Biochemistry
		265: 183-185;
	Regulation Of Osmotic Stress	McCright (1998) IN:
	Induced Gene Protein	Methods in Molecular
	Accumulation By Protein Protein	Biology; Protein
	Intereaction Between Osmotic	phosphatase protocols;
	Stress Regulated Genes And	Ludlow (1998) Humana
	Protein Phosphatase 2C	Press Inc.; Suite 808, 999
		Riverview Drive, Totowa,
		New Jersey
		07512, USA.: 263-277.
	Transcriptional Regulation Of	Luo and Dean (1999)
	Heat Induced Genes Through	Journal of the
	Chromatin Remodeling	National Cancer
		Institute 91: 1288-1294;
		Chromatin
		protocols (1999)
		edited by Peter B.
		Becker. Totowa,
		N.J.: Humana
		Press
	Activity Of Abcisic Acid	Gubler et al. (1999)
	Regulated DNA Binding Proteins	Plant Journal 17: 1-9
	Accumulation Of RNA Binding	Sato (1995)
	Proteins That Regulate Osmotic	Nucleic Acids Research 23:
	Stress	2161-2167.
Stress Response	Synthesis And Metabolism Of	Minocha et al.
	Osmoprotectants Such As	(1999) Plant
	Betaine, Proline And Trehalase	Physiol and
		Biochem 37: 597-603
	Regulation Of Sugar Transporters	Dejardin et al.
		(1999) Biochem J;
		344 Pt 2: 503-9
	Regulation Of Vacuolar	Gaxiola et al.
	Sodium/Proton Antiport Activity	(1999) PNAS USA
	And The Detoxification Of	96: 1480-1485
	Cations
	Regulation Of Intracellular Na+	Espinoza-Ruiz et
	And Li+ Ion Concentrations	al. (1999) The Plant
		Journal 20: 529-539
	Regulation Of Universal Stress	Freestone et al.
	Protein Homologue Activity By	(1997) Journal of
	Phosphorylation And	Molecular Biology,
	Dephosphorylation.	v. 274: 318-324
	Regulation/Maintenance Of	Walker (1996)
	Protein Stability During Thermal	Humana Press Inc.
	Stress	Suite 808, 999
		Riverview Drive,
		Totowa, New
		Jersey 07512, USA
	Regulation Of Protein	Vierstra (1996) Plant
	Degradation During Thermal	Molecular Biology, 32: 275-302.
	Stress.	Vierstra and Callis
		(1999) Plant
		Molecular Biology,
		41: 435-442
Signal Transduction	Activation Of Stress Response	Xinong et al.
	Genes	(1999) The Plant
		Journal 19: 569-578
	Salt Tolerance	Piao (1999) Plant
		Physiol 19: 1527-1534
	Calcium Mediated Stress	Subbaiah et al.
	Response	(1994) Plant
		Physiology
		105: 369-376
		Kudla et al. (1999)
		PNAS USA 96:
		4718-4723

Other biological activities that can be modulated by the osmotic stress responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Osmotic stress responsive genes are characteristically differentially transcribed in response to fluctuating osmotic stress levels or concentrations, whether internal or external to an organism or cell. MA_diff table reports the changes in transcript levels of various osmotic stress responsive genes in aerial tissues of plants at 1 and 6 hours after the plants were sprayed with Hoagland's solution containing 20% PEG as compared to aerial tissues from plants sprayed with Hoagland's solution only.

The data from this time course can be used to identify a number of types of osmotic stress responsive genes and gene products, including “early responding,” “sustained osmotic stress responders,” “repressors of osmotic stress pathways” and “osmotic stress responders.” Profiles of these different osmotic stress responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
GENE	FUNCTIONAL		BIOCHEMICAL
EXPRESSION	CATEGORY OF	PHYSIOLOGICAL	ACTIVITIES OF
LEVELS	GENES	CONSEQUENCES	GENE PRODUCTS
Up Regulated	Early Responders	Osmotic Stress	Transcription
Transcripts	To Osmotic	Perception	Factors
(Level At 1 Hour ≅	Stress	Osmolyte Uptake	Transcription
6 Hours)	Universal Stress	Modulation Of	Coactivators
(Level At 1 Hour >	Response Genes	Osmotic Stress	Membrane
6 Hours)	Osmotic Stress	Response Signal	Transporters
	Responders	Transduction Pathways	Proline
	Abscisic Acid	Specific Gene	Biosynthesis
	Biosynthesis And	Transcription	Selective Inhibition
	Perception	Initiation	Of Osmolyte
		Specific Gene	Transport
		Transcription	Protein
		Repression	Ubiquitination
		Translation Activation	Protein
		Translation	Degradation
		Repression	Rna Binding
		Repression Of	Proteins
		“Normal State”	Modification Of
		Pathways To Optimize	Protein Activity By
		Osmotic Stress	Phosphatases,
		Response	Kinases
		Activation Of Stress	Synthesis And Or
		Signaling Pathways	Activation Of
		Up Regulation Of	Oxide Hydrolases,
		Abscisic Acid	Suoeroxidedismutase,
		Biosynthesis Pathway	Iron Ascorbate
		Protein Accumulation	Peroxidase
		And Activity	Activation Of
		Scavenging Reactive	Signaling Pathway
		Oxygen Species	By Calcium
		Modification Of Cell	Binding Proteins,
		Wall Composition	Modification Of
		Up-Regulation Of	Protein Activity By
		Universal Stress	Protein-Protein
		Response Protein	Interaction
		Accumulation	Change In
			Chromatin
			Structure And/Or
			Localized Dna
			Topology
			Modification Of
			Pre-Existing
			Translation Factors
			By Phosphorylation
			(Kinases) Or
			Dephosphorylation
			(Phosphatases)
			Synthesis Of New
			Translation Factors
			Abscisic Acid
			Biosynthesis
Up Regulated	Sustained	Osmolyte Adjustment	Osmotic Stress
Transcripts	Osmotic Stress	And Adaptation	Metabolic
(Level At 1 Hr < 6 Hr)	Responders	Photosynthetic	Pathways
	Repressor Of	Activity Modification	Sugar Biosynthetic
	Osmotic Stress	Activation Of	Pathways
	Pathways	“Normal State”	Sugar Transporters
	Abscisic Acid	Biosynthesis Genes	Transcription
	Perception,	Negative Regulation	Factors
	Biosynthesis And	Of Osmotic Stress	Transcription
	Regulation	Pathways	Coactivators
		Negative Regulation	Membrane
		Of Abscisic Acid	Transporters
		Biosynthesis	Abscisic Acid
		Acivation Of Abscisic	Biosynthesis
		Acid Degradation
		Pathway
		Cell Wall
		Composition
		Modification
Down-Regulated	Early Responder	Metabolic Repression	Transcription
Transcripts	Repressors Of	Specific Gene	Factors
(Level At 1 Hr ≈ 6 Hr)	“Normal” State Of	Transcription	Transcription
(Level At 6 Hr > 1 Hr)	Metabolism	Initiation	Coactivators
	Negative Regulators	Specific Gene	Protein
	Of Abscisic Acid	Transcription	Degradation
	Biosynthesis And	Repression	Rna Binding
	Perception.	Translation Activation	Proteins
	Positive Regulators	Translation	Modification Of
	Of “Normal State”	Repression	Protein Activity By
	Metabolic Pathways.	Abscisic Acid	Phosphatases,
		Degradation	Kinases
		Protein Degradation	Activation Of
			Signaling Pathway
			By Calcium
			Binding Proteins,
			Modification Of
			Protein Activity By
			Protein-Protein
			Interaction
			Change In
			Chromatin
			Structure And/Or
			Localized Dna
			Topology
			Modification Of
			Pre-Existing
			Translation Factors
			By Phosphorylation
			(Kinases) Or
			Dephosphorylation
			(Phosphatases)
			Synthesis Of New
			Translation Factors
Down-Regulated	Repressors Of	Osmotic Stress	Transcription
Transcripts	“Normal” State Of	Adaptation	Factors
(Level At 1 Hr > 6 Hr)	Metabolism	Negative Regulation	Transcription
	Genes With	Of Abscisic Acid	Coactivators
	Discontinued	Biosynthesis	Protein
	Expression Or	Negative Regulation	Degradation
	UnsTable mRNA In	Of Osmotic Stress	Rna Binding
	Presence Of Osmotic	Response Pathways	Proteins
	Stress	Genes	Modification Of
	Repressor Of	Osmolyte Synthesis	Protein Activity By
	Osmotic Stress	And Osmolyte	Phosphatases,
	Pathways	Cellular Partitioning	Kinases
	Repressors Of	Readjustment	Activation Of
	Abscisic Acid	Activation Of	Signaling Pathway
	Biosynthesis,	“Normal State”	By Calcium
	Perception And	Metabolic Pathways	Binding Proteins,
	Regulation		Modification Of
			Protein Activity By
			Protein-Protein
			Interaction
			Change In
			Chromatin
			Structure And/Or
			Localized Dna
			Topology
			Modification Of
			Pre-Existing
			Translation Factors
			By Phosphorylation
			(Kinases) Or
			Dephosphorylation
			(Phosphatases)
			Synthesis Of New
			Translation Factors
			Sugar Biosynthetic
			Pathways
			Sugar Transporters

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the osmotic stress responsive genes when the desired sequence is operably linked to a promoter of an osmotic stress responsive gene.

III.E.10. Aluminum Responsive Genes, Gene Components and Products

Aluminum is toxic to plants in soluble form (Al³⁺). Plants grown under aluminum stress have inhibited root growth and function due to reduced cell elongation, inhibited cell division and metabolic interference. As an example, protein inactivation frequently results from displacement of the Mg2+ cofactor with aluminum. These types of consequences result in poor nutrient and water uptake. In addition, because stress perception and response occur in the root apex, aluminum exposure leads to the release of organic acids, such as citrate, from the root as the plant attempts to prevent aluminum uptake.

The ability to endure soluble aluminum is a major determinant of the geographical distribution and productivity of agricultural crops. Decreases in yield and crop failure frequently occur as a result of aberrant, hot conditions even in areas considered suitable for the cultivation of a given species or cultivar. Only modest increases in the aluminum tolerance of crop species would have a dramatic impact on agricultural productivity. The development of genotypes with increased aluminum tolerance would provide a more reliable means to minimize crop losses and diminish the use of costly practices to modify the environment.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by simultaneously hybridizing two differentially labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing 10,000 non-redundant ESTs, selected from 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases over the controls were identified, compared to the Ceres full-length cDNA and genomic sequence databanks, and identical Ceres clones identified. MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which are aluminum response responsive genes.

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Aluminum (relating to SMD 7304, SMD 7305)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Aluminum genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Aluminum Genes Identified by Cluster Analyses of Differential Expression

Aluminum Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Aluminum genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Aluminum (relating to SMD 7304, SMD 7305) of the MA_diff table(s).

Aluminum Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Aluminum genes. A group in the MA_clust is considered a Aluminum pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Aluminum Genes Identified by Amino Acid Sequence Similarity

Aluminum genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Aluminum genes. Groups of Aluminum genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Aluminum pathway or network is a group of proteins that also exhibits Aluminum functions/utilities.

III.E.10.a. Use of Aluminum Response Genes to Modulate Phenotypes

Changes in aluminum concentrations in a plant's surrounding environment results in modulation of many genes and gene products. Examples of such aluminum response genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield.

While aluminum responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different aluminum responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of a aluminum responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in a common pathway.

Such aluminum responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either

• • in response to changes in aluminum concentration or
  • in the absence of aluminum fluctuations.

More specifically, aluminum responsive genes and gene products are useful to or modulate one or more phenotypes including growth; roots (such as inhibition of root elongation); stems; leaves; whole plant; development (such as cell growth, elongation, and division) and mediates response to oxidative stress, calcium-mediated defense, antioxidant defense and pathogenesis.

To produce the desired phenotype(s) above, one or more of the aluminum response genes or gene products can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Li and Fleming (1999, FEBS Lett 461: 1-5), Delhaize et al. (1999, J Biol Chem 274: 7082-8), Sigimoto and Sakamoto (1997, Genes Genet Syst 72: 311-6), Esaki et al. (2000, Plant Physiol 122: 657-65), Leonard and Gerber (1988, Mutat Res 196: 247-57), Baisakhi et al. (2000, Mutat Res 465: 1-9), Ma (2000, Plant Cell Physiol 41: 383-90) and Koyama et al. (1999, Plant Cell 40: 482-8)

Alternatively, the activities of one or more of the aluminum responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC
GENERAL	ACTIVITIES AND/OR
CATEGORY	PATHWAYS	ASSAY
Cell Growth and	Phospholipase D (PLD)	Toda et al. (1999)
Development	activity	Biosci Biotechnol
		Biochem 63: 210-212
	Regulation of
	Phosphtidylserine
	Synthase (PSS)
	Cell wall strengthening	Hamel et al. (1998)
		Planta 205: 531-38
Stress Response	Regulation of oxidative	Esaki et al. (2000)
	stress	Plant Physiol 122:
		657-655
	Regulation of	Baisakhi et al.
	antioxidant defense and	(2000) Mutat Res
	DNA repair	465: 1-9
	Secretion of Organic	Koyama et al.
	Acids (e.g. maleate,	(1999) Plant Cell
	citrate) from root apex	40: 482-8
	Ca2+ mediated Defense	Plieth et al. (1999)
	Responses Against Low	Plant J 18: 634-50
	pH
Signaling	H+ transport	Degenhardt et al.
		(1988) Plant Physil
		117: 19-27
	Auxin transport	Rashotte et al.
		(2000) Plant
		Physiol 122: 481-90

Other biological activities that can be modulated by aluminum response genes and their products are listed in the REFERENCE Table. Assays for detecting such biological activities are described in the Protein Domain table.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	responders to	Aluminum	Transporters
transcripts	aluminum	perception	Metabolic enzymes
	application	Aluminum uptake	Change in cell
		and transport	membrane structure
		Aluminum	and potential
		metabolism	Kinases and
		Synthesis of	phosphatases
		secondary	Transcription
		metabolites and/or	activators
		proteins	Change in chromatin
		Modulation of	structure and/or
		aluminum	localized DNA
		response	topology
		transduction
		pathways
		Specific gene
		transcription
		initiation
Down-regulated	responder to	Negative	Transcription factors
transcripts	aluminum	regulation of	Change in protein
	repressors of	aluminum	structure by
	aluminum state of	pathways	phosphorylation
	metabolism	Changes in	(kinases) or
	Genes with	pathways and	dephosphorylation
	discontinued	processes	(phosphatases)
	expression or	operating in cells	Change in chromatin
	unsTable mRNA in	Changes in other	structure and/or DNA
	presence of aluminum	metabolisms than	topology
		aluminum	Stability of factors for
			protein synthesis and
			degradation
			Metabolic enzymes

Use of Promoters of Aluminum Responsive Genes

Promoters of Aluminum responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Aluminum responsive genes where the desired sequence is operably linked to a promoter of a Aluminum responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E.11. Cadmium Responsive Genes, Gene Components and Products

Cadmium (Cd) has both toxic and non-toxic effects on plants. Plants exposed to non-toxic concentrations of cadmium are blocked for viral disease due to the inhibition of systemic movement of the virus. Surprisingly, higher, toxic levels of Cd do not inhibit viral systemic movement, suggesting that cellular factors that interfere with the viral movement are triggered by non-toxic Cd concentrations but repressed in high Cd concentrations. Furthermore, exposure to non-toxic Cd levels appears to reverse posttranslational gene silencing, an inherent plant defense mechanism. Consequently, exploring the effects of Cd exposure has potential for advances in plant disease control in addition to soil bio-remediation and the improvement of plant performance in agriculture.

Changes in cadmium concentrations in a plant's surrounding environment results in modulation of many genes and gene products. Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by simultaneously hybridizing two differentially labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing some 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in plants treated with 10 μM cadmium compared with untreated plants were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and the equivalent Ceres clones identified. The MA_diff table(s) report(s) the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which represent cadmium responsive genes.

Examples of such cadmium responsive genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield.

While cadmium responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different cadmium responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants. In addition, the combination of a cadmium responsive polynucleotide and/or gene product with other environmentally responsive polynucleotides is also useful because of the interactions that exist between, for example, stress and pathogen induced pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways.

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Cadium (relating to SMD 7427, SMD 7428)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Cadium genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Cadium Genes Identified by Cluster Analyses of Differential Expression

Cadium Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Cadium genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Cadium (relating to SMD 7427, SMD 7428) of the MA_diff table(s).

Cadium Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Cadium genes. A group in the MA_clust is considered a Cadium pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Cadium Genes Identified by Amino Acid Sequence Similarity

Cadium genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Cadium genes. Groups of Cadium genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Cadium pathway or network is a group of proteins that also exhibits Cadium functions/utilities.

Such cadmium responsive genes and gene products can function to either increase or dampen phenotypes or activities either in response to changes in cadmium concentration or in the absence of cadmium fluctuations. Further, promoters of cadmium responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by cadmium or any of the following phenotypes or biological activities below.

III.E.11.a. Use of Cadmium Responsive Genes, Gene Components and Products to Modulate Phenotypes

Cadmium responsive genes and gene products are useful to or modulate one or more phenotypes including growth, roots, initiation and maintenance of cell division, stems, leaves, development, mitochondria, post-embryonic root meristem development, senescence, stress response, modulation of jasmonic acid and other stress control pathways, metabolic detoxification, heavy metals, plant and seed yield; and fruit yield.

Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the cadmium responsive genes when the desired sequence is operably linked to a promoter of a cadmium responsive gene.

To regulate any of the phenotype(s) above, activities of one or more of the cadmium responsive genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998) Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Ghoshroy et al. (1998, Plant J 13: 591-602), Citovsky et al. (1998, Plant J 16: 13-20), Clemens et al. (1999, EMBO J 18: 3325-33), Chen et al. (2000, Chemosphere 41: 229-34), Xian and Oliver (1998, Plant Cell 10: 1539-90), Romero-Peurtas et al. (1999, Free Rad Res 31: S25-31), Gaur and Noraho (1995, Biomed Environ Sci 8: 202-10), Thomine et al. (2000, PNAS USA 97: 4991-6), Howden et al. (1995, Plant Physiol 107: 1067-73), Kesseler and Brand (1994, Eur J Biochem 225: 907-22) and Vernoux et al. (2000, Plant Cell 12: 97-110).

III.E.10.b. Use of Cadmium-Responsive Genes, Gene Components and Products to Modulate Biochemical Activities

The activities of one or more of the cadmium responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth, Differentiation	Root Growth	Thomine et al. (2000) PNAS
and Development	Initiation and maintenance of	USA 97: 4991-6
	cell division	Vernoux et al. (2000) Plant Cell
	Resistance to Cadmium-	12: 97-110
	inhibition of root growth
Metabolism	Cadmium sensing	Howden et al. (1995) Plant
		Physiol 107: 1067-73
	Cadmium uptake and	Gaur and Noraho (1995) Biomed
	transport	Environ Sci 8: 202-10
	Decreased cadmium	Thomine et al. (2000) PNAS
	transport	USA 97: 4991-6
	Phytoremediation
	Inhibition of oxidative	Kesseler and Brand (1994) Eur.
	phophorylation	Biochem 225: 907-22
Plant Defenses	Viral resistance	Ghoshroy et al. (1998) Plant J
	Inhibition of systemic	13: 591-602
	movement of virus
	Block of viral disease
	Detoxification of heavy	Clemens et al. (1999) EMBO J
	metals	18: 3325-33
	Enhanced stress resistance	Romero-Peurtas et al. (1999)
		Free Rad Res 31: S25-31
	Cadmium resistance	Xiang and Oliver (1998) Plant
	via modulation of jasmonic	Cell 10: 1539-90
	acid signaling pathway
Signaling	Relief of post-translational	Citovsky et al. (1998) Plant J 16:
	gene silencing	13-20

Other biological activities that can be modulated by the cadmium responsive genes and gene products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Cadmium responsive genes are characteristically differentially transcribed in response to fluctuating cadmium levels or concentrations, whether internal or external to an organism or cell. The MA_diff table(s) report(s) the changes in transcript levels of various cadmium responsive genes following treatment with 10 μM cadmium, relative to untreated plants.

Profiles of some cadmium responsive genes are shown in the Table below together with examples of the kinds of associated biological activities.

			EXAMPLES OF
TRANSCRIPT	TYPE OF	PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	GENES	CONSEQUENCES	ACTIVITY
Up regulated	Responders to	Cadmium perception	Transporters
transcripts	cadmium	Cadmium uptake and	Metabolic enzymes
	Application	transport	Change in cell membrane
	Genes induced by	Cadmium metabolism	structure and potential
	cadmium	Synthesis of secondary	Kinases and
		metabolites and/or	Phosphatases
		proteins	Transcription activators
		Modulation of	Change in chromatin
		cadmium response	structure and/or localized
		transduction pathways	DNA topology
		Specific gene	RNA binding proteins
		transcription initiation
		Genes involved in
		inhibiting systemic
		movement of plant
		viral RNA
		Genes involved in post
		translational gene
		silencing
Down-regulated	Responders to	Negative regulation of	Transcription factors
transcripts	cadmium	cadmium pathways	Change in protein
	Genes repressed	released	structure by
	by cadmium	Changes in pathways	phosphorylation
	Genes with	and processes operating	(kinases) or
	discontinued	in cells	Dephosphoryaltion
	expression or	Changes in metabolism	(phosphatases)
	unsTable mRNA	other than cadmium	Change in chromatin
	in presence of	pathways	structure and/or DNA
	cadmium	Genes involved in	topology
		facilitating systemic	Factors for protein
		movement of plant	synthesis and degradation
		viral RNA	Metabolic enzymes
		Genes involved in	RNA binding proteins
		promoting post
		translational gene
		silencing

Use of Promoters of Cadmium Responsive Genes

Promoters of Cadmium responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Cadmium responsive genes where the desired sequence is operably linked to a promoter of a Cadmium responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.12. Disease Responsive Genes, Gene Components and Products

Often growth and yield are limited by the ability of a plant to tolerate stress conditions, including pathogen attack. To combat such conditions, plant cells deploy a battery of inducible defense responses, including the triggering of an oxidative burst and the transcription of pathogenesis-related protein (PR protein) genes. These responses depend on the recognition of a microbial avirulence gene product (avr) by a plant resistance gene product (R), and a series of downstream signaling events leading to transcription-independent and transcription-dependent disease resistance responses. Reactive oxygen species (ROS) such as H₂O₂ and NO from the oxidative burst plays a signaling role, including initiation of the hypersensitive response (HR) and induction of systemic acquired resistance (SAR) to secondary infection by unrelated pathogens. PR proteins are able to degrade the cell walls of invading microorganisms, and phytoalexins are directly microbicidal.

The presence of an avirulent pathogen and/or changes in the concentrations of O₂⁻, H₂O₂ and NO in the environment surrounding a plant cell modulate the activities of many genes and, therefore, the levels of many gene products. Examples of tobacco mosaic virus (TMV) responsive genes and gene products, many of them operating through an ROS signaling system, are shown in The Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield. The genes were discovered and characterized from a much larger set by experiments designed to find genes whose mRNA products changed in response to application of TMV to plants.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing some 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in response to TMV infection over the non infected controls were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones identified. The MA_diff table(s) report(s) the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which represent disease responsive genes.

Manipulation of one or more disease responsive gene activities is useful to modulate the biological processes and/or phenotypes listed below. Disease responsive genes and gene products can act alone or in combination. Useful combinations include disease responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants.

Such disease responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in active oxygen concentration or in the absence of active oxygen fluctuations. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Disease (relating to SMD 7342, SMD 7343)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Disease genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Disease Genes Identified by Cluster Analyses of Differential Expression

Disease Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Disease genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Disease (relating to SMD 7342, SMD 7343) of the MA_diff table(s).

Disease Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Disease genes. A group in the MA_clust is considered a Disease pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Disease Genes Identified by Amino Acid Sequence Similarity

Disease genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Disease genes. Groups of Disease genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Disease pathway or network is a group of proteins that also exhibits Disease functions/utilities.

Further, promoters of disease responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by disease or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the disease responsive genes when the desired sequence is operably linked to a promoter of a disease responsive gene.

III.E.12.a. Use of Disease Responsive Genes, Gene Components and Products to Modulate Phenotypes

Disease responsive genes and gene products are useful to or modulate one or more phenotypes including pathogen tolerance and/or resistance; Avr/R locus interactions; non-host interactions; HR; SAR; resistance to bacteria e.g. to Erwinia stewartii, Pseudomonas syringae, Pseudomonas tabaci, Stuart's wilt, etc.; resistance to fungi, e.g. to downy mildews such as Scleropthora macrospora, Sclerophthora rayissiae, Sclerospora graminicola, Peronosclerospora sorghi, Peronosclerospora philippinensis, Peronosclerospora sacchari, Peronosclerospora maydis; rusts such as Puccinia sorphi, Puccinia polysora, Physopella zeae, etc.; and to other fungal diseases e.g. Cercospora zeae-maydis, Colletotrichum graminicola, Fusarium monoliforme, Exserohilum turcicum, Bipolaris maydis, Phytophthora parasitica, Peronospora tabacina, Septoria, etc.; resistance to viruses or viroids e.g. to tobacco or cucumber mosaic virus, ringspot virus, necrosis virus, pelargonium leaf curl virus, red clover mottle virus, tomato bushy stunt virus, and like viruses; rrResistance to insects, such as to aphids e.g. Myzus persicae; to beetles and beetle larvae; to lepidoptera larvae, e.g. Heliothus etc.; resistance to Nematodes, e.g. Meloidogyne incognita etc.; local resistance in primary (infected) or secondary (uninfected) leaves; stress tolerance; winter survival; cold tolerance; salt tolerance; heavy metal tolerance, such as cadmium; tolerance to physical wounding; increased organelle tolerance to redox stress, such as in mitochondria, and chloroplasts; cell death; programmed cell death, including death of diseased tissue and during senescence; fruit drop; biomass; fresh and dry weight during any time in plant life, such as maturation; number of flowers, seeds, branches, and/or leaves; seed yield, including number, size, weight, and/or harvest index; fruit yield, including number, size, weight, and/or harvest index; plant development; time to fruit maturity; cell wall strengthening and reinforcement; plant product quality; paper making quality; food additives; treatment of indications modulated by free radicals; cancer; kinds of low molecular weight compounds such as phytoalexins; abundance of low molecular weight compounds such as phytoalexins; other phenotypes based on gene silencing.

To regulate any of the phenotype(s) above, activities of one or more of the disease responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and assayed, for example, in accordance to Alvarez et al., (1998) Cell 92: 773-784; Halhbrock and Scheel, (1989) Ann. Rev. Plant Physiol. Plant Mol. Biol. 40: 347-369; Lamb et al., (1997) Ann. Rev. Plant Mol. Biol. Plant Physiol. 48: 251-275; Lapwood et al. (1984) Plant Pathol. 33: 13-20; Levine et al. (1996) Curr. Biol. 6: 427-437; McKersie et al., (2000) Plant Physiol. 122: 1427-1437; Olson and Varner (1993) Plant J. 4: 887-892; Pastore et al., (2000), FEBS Lett 470: 88-92; Pastori et al., (1997) Plant Physiol. 113: 411-418; Romero-Puertas et al., (1999) Free Radic. Res. 1999 31 Suppl: S25-31; Shirataki et al., Anticancer Res 20: 423-426 (2000); Wu et al., (1995) Plant Cell 7: 1357-1368.

III.E.12.b. Use of Disease Responsive Genes, Gene Components and Products to Modulate Biochemical Activities

The activities of one or more of the disease responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations above and included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Resistance to Pathogens	Induction of ROS signaling	Wu et. al. (1995) Plant Cell 7:
	pathways	1357-68
	Modulation of nitric oxide	Delledonne et al. (1998) Nature
	signaling	394: 585-588
	Induction of PR proteins,	Chamnongpol et. al. (1998) Proc.
	phytoalexins, and defense	Nat. Acad Sci USA 12; 95: 5818-23.
	pathways	Davis et al. (1993)
		Phytochemistry 32: 607-611
	Induction of cellular	Chen et. al. Plant J. (1996)
	protectant genes such as	10: 955-966
	glutathione S-transferase	Gadea et. al. (1999) Mol Gen
	(GST) and ascorbate	Genet 262: 212-219
	peroxidase	Wu et.al.(1995) Plant Cell 7:
		1357-68
	ROS levels following	Orozco-Cardenas and Ryan
	wounding and changes in	(1999) Proc. Nat. Acad. Sci. USA
	physical pressure	25; 96: 6553-7.
		Yahraus et al. (1995) Plant
		Physiol. 109: 1259-1266
	Salicyclic acid levels and	Durner and Klessig (1996)
	signaling	J. Biol. Chem. 271: 28492-501
Responses to Wounding	Expression of genes Involved	Legendre et al. (1993) Plant
	in wound repair and cell	Physiol. 102: 233-240
	division
Responses to Environmental	Expression of genes involved	Shi et al. (2000) Proc. Natl. Acad.
Stress	in responses to drought, cold,	Sci. USA 97: 6896-6901
	salt, heavy metals
Reinforcement of Cell Walls	Modulation of the Production	Bradley et al. (1992) Cell 70, 21-30
	of ExtracTable Proline-Rich
	Protein
	Modulation of Lignification	Mansouri et al. (1999) Physiol.
		Plant 106: 355-362
Programmed Cell Death	Induction of PCD activating	Levine et al. (1996) Curr. Biol. 6:
	genes	427-437. Reynolds et.al. (1998)
		Biochem. J. 330: 115-20
	Suppression of PCD	Pennell and Lamb (1997) Plant
	suppressing genes	Cell 9, 1157-1168

Other biological activities that can be modulated by the disease responsive genes and their products are listed in the Reference Table. Assays for detecting such biological activities are described in the Protein Domain table.

Disease responsive genes are characteristically differentially transcribed in response to fluctuating levels of disease. The MA_diff table(s) report(s) the changes in transcript levels of various disease responsive genes in the aerial parts of a plant 3 days after the plant was sprayed with a suspension of TMV relative to control plants sprayed with water.

The data from this experiment reveal a number of types of disease responsive genes and gene products, including “early responders,” and “delayed responders”. Profiles of individual disease responsive genes are shown in the Table below with examples of which associated biological activities are modulated when the activities of one or more such genes vary in plants.

			EXAMPLES OF
GENE	FUNCTIONAL		BIOCHEMICAL
EXPRESSION	CATEGORY	PHYSIOLOGICAL	ACTIVITY
LEVELS	OF GENE	CONSequence	OF GENE PRODUCTS
Upregulated	Early	ROS Perception and	Transcription factors,
transcripts	Responders to	Response	kinases, phosphatases, GTP-
	Pathogens		binding proteins (G-
			proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodeling proteins
		Initiation of Gene	Glutathione S-transferase
		Transcription	(GST),
			heat shock proteins,
			salicylic acid (SA) response
			pathway proteins, jasmonate
			response pathway proteins,
			dehydrins, peroxidases,
			catalases
	Delayed	Initiation of Defence	Proteases, pathogen
	Responders to	Gene Transcription	response (PR) proteins,
	Pathogens		cellulases, chitinases,
			cutinases, glucanases, other
			degrading enzymes, calcium
			channel blockers,
			phenylalanine ammonia
			lyase, proteins of defense
			pathways, cell wall proteins
			incuding proline rich
			proteins and glycine rich
			proteins, epoxide hydrolase,
			methyl transferases
		Activation of cell death	Transcription factors
		pathways	kinases, phosphatases, DNA
			surveillance proteins, p53,
			proteases, endonucleases,
			GTP-binding proteins (G-
			proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins,
			mitochondrial and
			chloroplast energy related
			proteins, ribosome
			inactivating proteins
		Initiation of Cellular	Reactive oxygen scavenging
		Protectant Gene	enzymes, GST, catalase,
		Transcription	peroxidase, ascorbate
			oxidase
Downregulated	Early	Negative regulation of	Transcription factors,
transcripts	responders to	pathogen inducible	kinases, phosphatases, GTP-
	pathogens	pathways released	binding proteins (G-
			proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodelling proteins
	Genes repressed	Negative regulation of	Transcription factors,
	by TMV	ROS inducible	kinases, phosphatases, GTP-
		pathways released	binding proteins (G-
			proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodelling proteins
	Delayed	Negative regulation of	Transcription factors,
	Responders to	pathogen inducible	kinases, phosphatases, GTP-
	Pathogens	pathways released	binding proteins (G-
			proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodelling proteins
	Genes repressed	Negative regulation of	Transcription factors,
	by TMV	genes suppressing	kinases, phosphatases, GTP-
		programmed cell death	binding proteins (G-
		released	proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodelling proteins

Use of Promoters of Disease Responsive Genes

Promoters of Disease responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Disease responsive genes where the desired sequence is operably linked to a promoter of a Disease responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

II.E.13. Defense (LOL2) Responsive Genes, Gene Components and Products

Often growth and yield are limited by the ability of a plant to tolerate stress conditions, including pathogen attack. To combat such conditions, plant cells deploy a battery of inducible defense responses, including the triggering of an oxidative burst and the transcription of pathogenesis-related protein (PR protein) genes. Reactive oxygen species (ROS) such as H₂O₂ and NO from the oxidative burst play a signaling role, including initiation of the hypersensitive response (HR) and induction of systemic acquired resistance (SAR) to secondary infection by unrelated pathogens. Some PR proteins are able to degrade the cell walls of invading microorganisms, and phytoalexins are directly microbicidal. Other defense related pathways are regulated by salicylic acid (SA) or methyl jasmonate (MeJ).

These responses depend on the recognition of a microbial avirulence gene product (avr) by a plant resistance gene product (R), and a series of downstream signaling events leading to transcription-independent and transcription-dependent disease resistance responses. Current models suggest that R− gene-encoded receptors specifically interact with pathogen-encoded ligands to trigger a signal transduction cascade. Several components include ndr1 and eds1 loci. NDR1, EDS1, PR1, as well as PDF1.2, a MeJ regulated gene and Nim1, a SA regulated gene, are differentially regulated in plants with mutations in the LOL2 gene.

LOL2 shares a novel zinc finger motif with LSD1, a negative regulator of cell death and defense response. Due to an alternative splice site the LOL2 gene encodes two different proteins, one of which contains an additional, putative DNA binding motif. Northern analysis demonstrated that LOL2 transcripts containing the additional DNA binding motif are predominantly upregulated after treatment with both virulent and avirulent Pseudomonas syringae pv maculicola strains. Modulation in this gene can also confer enhanced resistance to virulent and avirulent Peronospora parasitica isolates

Examples of LOL2 responsive genes and gene products are shown in the Reference, Sequence, Protein Group, Protein Group Matrix, MA_diff and MA_clust tables. These genes and/or products are responsible for effects on traits such as plant vigor, disease resistance, and seed yield. The genes were discovered and characterized from a much larger set by microarray experiments designed to find genes whose mRNA products changed when the LOL2 gene was mutated in plants.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing some about 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in plants with the LOL2 mutation versus wildtype were obtained. Specifically, the plant line lol-2-2 tested, a loss of function mutation. The ESTs were compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones identified. The MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which represent LOL2 responsive genes.

Manipulation of one or more LOL2 responsive gene activities is useful to modulate the biological processes and/or phenotypes listed below. LOL2 responsive genes and gene products can act alone or in combination. Useful combinations include LOL2 responsive genes and/or gene products with similar transcription profiles, similar biological activities, or members of the same or functionally related biochemical pathways. Whole pathways or segments of pathways are controlled by transcription factor proteins and proteins controlling the activity of signal transduction pathways. Therefore, manipulation of such protein levels is especially useful for altering phenotypes and biochemical activities of plants.

Such LOL2 responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in active LOL2 gene or in the absence. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: lol2 (relating to SMD 8031, SMD 8032)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Defense genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Defense Genes Identified by Cluster Analyses of Differential Expression

Defense Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Defense genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID lol2 (relating to SMD 8031, SMD 8032) of the MA_diff table(s).

Defense Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Defense genes. A group in the MA dust is considered a Defense pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Defense Genes Identified by Amino Acid Sequence Similarity

Defense genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Defense genes. Groups of Defense genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Defense pathway or network is a group of proteins that also exhibits Defense functions/utilities.

Further, promoters of LOL2 responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by LOL2 responsive genes or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the LOL2 responsive genes when the desired sequence is operably linked to a promoter of a LOL2 responsive gene.

III.E.12.a. Use of Lol2 Responsive Genes, Gene Components and Products to Modulate Phenotypes

LOL2 responsive genes and gene products are useful to or modulate one or more phenotypes including pathogen tolerance and/or resistance; Avr/r locus interactions; Non-Host interactions; HR; SAR, e.g., disease responsive genes acting in conjunction with infection with any of the organisms listed below; resistance to bacteria e.g. to Erwinia stewartii, Pseudomonas syringae, Pseudomonas tabaci, Stuart's wilt, etc.; resistance to fungi e.g. to downy mildews such as Scleropthora macrospora, Sclerophthora rayissiae, Sclerospora graminicola, Peronosclerospora sorghi, Peronosclerospora philippinensis, Peronosclerospora sacchari, Peronosclerospora maydis; rusts such as Puccinia sorphi, Puccinia polysora, Physopella zeae, etc.; and to other fungal diseases e.g. Cercospora zeae-maydis, Colletotrichum graminicola, Fusarium monoliforme, Exserohilum turcicum, Bipolaris maydis, Phytophthora parasitica, Peronospora tabacina, Septoria, etc.; resistance to viruses or viroids e.g. to tobacco or cucumber mosaic virus, ringspot virus, necrosis virus, pelargonium leaf curl virus, red clover mottle virus, tomato bushy stunt virus, and like viruses; resistance to insects, such as to aphids e.g. Myzus persicae; to beetles and beetle larvae; to lepidoptera larvae, e.g. Heliothus etc.; resistance to nematodes, e.g. Meloidogyne incognita etc.; local resistance in primary (infected) or secondary (uninfected) leaves; stress tolerance; winter survival; cold tolerance; salt tolerance, heavy metal tolerance, such as cadmium; tolerance to physical wounding; increased organelle tolerance to redox stress, such as in mitochondria, and chloroplasts; cell death; programmed cell death, including death of diseased tissue and during senescence; fruit drop; biomass; fresh and dry weight during any time in plant life, such as maturation; number of flowers, seeds, branches, and/or leaves; seed yield, including number, size, weight, and/or harvest index; fruit yield, including number, size, weight, and/or harvest index; plant development; time to fruit maturity; cell wall strengthening and reinforcement; plant product quality; paper making quality; food additives; treatment of indications modulated by free radicals; cancer; kinds of low molecular weight compounds such as phytoalexins; abundance of low molecular weight compounds such as phytoalexins; and other phenotypes based on gene silencing.

To regulate any of the phenotype(s) above, activities of one or more of the LOL2 responsive genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and assayed, for example, in accordance to Alvarez et al., (1998) Cell 92: 773-784; Halhbrock and Scheel, (1989) Ann. Rev. Plant Physiol. Plant Mol. Biol. 40: 347-369; Lamb et al., (1997) Ann. Rev. Plant Mol. Biol. Plant Physiol. 48: 251-275; Lapwood et al. (1984) Plant Pathol. 33: 13-20; Levine et al. (1996) Curr. Biol. 6: 427-437; McKersie et al., (2000) Plant Physiol. 122: 1427-1437; Olson and Varner (1993) Plant J. 4: 887-892; Pastore et al., (2000), FEBS Lett 470: 88-92; Pastori et al., (1997) Plant Physiol. 113: 411-418; Romero-Puertas et al., (1999) Free Radic. Res. 1999 31 Suppl: S25-31; Shirataki et al., Anticancer Res 20: 423-426 (2000); Wu et al., (1995) Plant Cell 7: 1357-1368.

III.E.12.b. Use of Defense Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the defense (LOL2) responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities are documented and can be measured according to the citations above and included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Resistance To Pathogens	Induction Of ROS Signaling	Wu et. al. (1995) Plant Cell 7:
	Pathways	1357-68
	Modulation Of Nitric Oxide	Delledonne et al. (1998) Nature
	Signaling	394: 585-588
	Induction Of PR Proteins,	Chamnongpol et. al. (1998) Proc.
	Phytoalexins, And Defense	Nat. Acad Sci USA 12; 95: 5818-23.
	Pathways	Davis et al. (1993) Phytochemistry
		32: 607-611
	Induction Of Cellular	Chen et. al. Plant J. (1996) 10: 955-966
	Protectant Genes Such As	Gadea et. al. (1999) Mol Gen Genet
	Glutathione S-Transferase	262: 212-219
	(GST) And Ascorbate	Wu et. al. (1995) Plant Cell 7:
	Peroxidase	1357-68
	ROS Levels Following	Orozco-Cardenas and Ryan (1999)
	Wounding And Changes In	Proc. Nat. Acad. Sci. USA
	Physical Pressure	25; 96: 6553-7.
		Yahraus et al. (1995) Plant
		Physiol. 109: 1259-1266
	Salicyclic Acid Levels And	Durner and Klessig (1996)
	Signaling	J. Biol. Chem. 271: 28492-501
Responses To Wounding	Expression Of Genes Involved	Legendre et al. (1993) Plant
	In Wound Repair And Cell	Physiol. 102: 233-240
	Division
Responses To	Expression Of Genes Involved	Shi et al. (2000) Proc. Natl. Acad.
Environmental Stress	In Responses To Drought,	Sci. USA 97: 6896-6901
	Cold, Salt, Heavy Metals
Reinforcement Of Cell	Modulation Of The Production	Bradley et al. (1992) Cell 70, 21-30
Walls	Of ExtracTable Proline-Rich
	Protein
	Modulation Of Lignification	Mansouri et al. (1999) Physiol.
		Plant 106: 355-362
Programmed Cell Death	Induction Of Pcd Activating	Levine et al. (1996) Curr. Biol. 6:
	Genes	427-437. Reynolds et. al. (1998)
		Biochem. J. 330: 115-20
	Suppression Of PCD	Pennell and Lamb (1997) Plant
	Suppressing Genes	Cell 9, 1157-1168

Other biological activities that can be modulated by the LOL2 responsive genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

LOL2 responsive genes are characteristically differentially transcribed in response to fluctuating levels of disease. MA_diff table reports the changes in transcript levels of various LOL2 responsive genes in the lol-2 line versus control plants.

The data from this experiment reveal a number of types of LOL2 responsive genes and gene products. Profiles of individual LOL2 responsive genes are shown in the Table below with examples of which associated biological activities are modulated when the activities of one or more such genes vary in plants.

			EXAMPLES OF
GENE	FUNCTIONAL		BIOCHEMICAL
EXPRESSION	CATEGORY	PHYSIOLOGICAL	ACTIVITY
LEVELS	OF GENE	CONSequence	OF GENE PRODUCTS
Upregulated	Early	ROS Perception and	Transcription factors,
transcripts	Responders to	Response	kinases, phosphatases, GTP-
	the LOL2		binding proteins (G-
	Mutation		proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodeling proteins
		Initiation of Gene	Glutathione S-transferase
		Transcription	(GST),
			heat shock proteins,
			salicylic acid (SA) response
			pathway proteins, jasmonate
			response pathway proteins,
			dehydrins, peroxidases,
			catalases
	Delayed	Initiation of Defence	Proteases, pathogen
	Responders to	Gene Transcription	response (PR) proteins,
	the LOL2		cellulases, chitinases,
	Mutation		cutinases, glucanases, other
			degrading enzymes, calcium
			channel blockers,
			phenylalanine ammonia
			lyase, proteins of defense
			pathways, cell wall proteins
			incuding proline rich
			proteins and glycine rich
			proteins, epoxide hydrolase,
			methyl transferases
		Activation of cell death	Transcription factors
		pathways	kinases, phosphatases, DNA
			surveillance proteins, p53,
			proteases, endonucleases,
			GTP-binding proteins (G-
			proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins,
			mitochondrial and
			chloroplast energy related
			proteins, ribosome
			inactivating proteins
		Initiation of Cellular	Reactive oxygen scavenging
		Protectant Gene	enzymes, GST, catalase,
		Transcription	peroxidase, ascorbate
			oxidase
Downregulated	Early	Negative regulation of	Transcription factors,
transcripts	Responders to	LOL2 Mutation	kinases, phosphatases, GTP-
	the LOL2	inducible pathways	binding proteins (G-
	Mutation	released	proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodelling proteins
	Genes	Negative regulation of	Transcription factors,
	Repressed by	ROS inducible	kinases, phosphatases, GTP-
	the LOL2	pathways released	binding proteins (G-
	Mutation		proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodelling proteins
	Delayed	Negative regulation of	Transcription factors,
	Responders to	LOL2 Mutation	kinases, phosphatases, GTP-
	the LOL2	inducible pathways	binding proteins (G-
	Mutation	released	proteins), leucine rich repeat
			proteins (LRRs),
			transporters, calcium
			binding proteins, chromatin
			remodelling proteins
	Genes	Negative Regulation Of	Transcription Factors,
	Repressed By	Genes Suppressing	Kinases, Phosphatases,
	The LOL2	Programmed Cell	GTP-Binding Proteins (G-
	Mutation	Death Released	Proteins), Leucine Rich
			Repeat Proteins (Lrrs),
			Transporters, Calcium
			Binding Proteins,
			Chromatin Remodelling
			Proteins

Use of Promoters of Defense Responsive Genes

Promoters of Defense responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Defense responsive genes where the desired sequence is operably linked to a promoter of a Defense responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E.14. Iron Responsive Genes, Gene Components and Products

Iron (Fe) deficiency in humans is the most prevalent nutritional problem worldwide today. Increasing iron availability via diet is a sustainable malnutrition solution for many of the world's nations. One-third of the world's soils, however, are iron deficient. Consequently, to form a food-based solution to iron malnutrition, we need a better understanding of iron uptake, storage and utilization by plants. Furthermore, exposure to non-toxic Fe levels appears to affect inherent plant defense mechanisms. Consequently, exploring the effects of Fe exposure has potential for advances in plant disease resistance in addition to human nutrition.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by simultaneously hybridizing two differentially labeled fluorescent FeNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing 10,000 non-redundant ESTs, selected from 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases over the controls were identified, compared to the Ceres full length FeNA and genomic sequence databanks, and identical Ceres clones identified. MA_diff table reports the results of this analysis, indicating those Ceres clones that are up or down regulated over controls, thereby indicating the Ceres clones which are iron responsive genes.

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Iron (relating to SMD 7114, SMD 7115, SMD 7125)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Iron genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Iron Genes Identified by Cluster Analyses of Differential Expression

Iron Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Iron genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Iron (relating to SMD 7114, SMD 7115, SMD 7125) of the MA_diff table(s).

Iron Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Iron genes. A group in the MA_clust is considered a Iron pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Iron Genes Identified by Amino Acid Sequence Similarity

Iron genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Iron genes. Groups of Iron genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Iron pathway or network is a group of proteins that also exhibits Iron functions/utilities.

III.E.14.a. Use of Iron Responsive Genes to Modulate Phenotypes

Iron responsive genes and gene products are useful to or modulate one or more phenotypes including growth; roots; root hair formation; stems, leaves; development; senescence; plant nutrition; uptake and assimilation of organic compounds; uptake and assimilation of inorganic compounds; animal (including human) nutrition; improved dietary mineral nutrition; stress response metabolic detoxification; and heavy metals.

To improve any of the phenotype(s) above, activities of one or more of the iron responsive genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Schmidt et al. (2000, Plant Physiol 122:1109-18), Meagher (2000) Current Opinion in Plant Biology 3: 153-62), Deak (1999, Nature Biotechnology (1999, Nature Biotechnology 17: 192-96), Wei and Theil (2000, J. Biol Chem 275: 17488-93) and Vansuyt et al. (1997, FEBS Letters 410: 195-200).

III.E.14.b. Use of Iron-Responsive Genes, Gene Components and Products to Modulate Biochemical Activities

The activities of one or more of the iron responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC	CITATIONS
	ACTIVITIES	INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth,	Root Growth	Robinson et al. (1999)
Differentiation	Initiation of root	Nature 397: 694-97
and Development	hairs
Metabolisms	Iron sensing	Thomine et al. (2000)
	Iron uptake and transport	PNAS USA 97: 4991-6
	decreased iron	Thomine et al. (2000)
	transport	PNAS USA 97: 4991-6
		Zhu (1999) Plant
	phytoremediation	Physiol 119: 73-79
Plant Defenses	Protection from oxidative	Deak (1999) Nature
	damage	Biotechnology 17: 192-6
Signaling	Specific gene	Brand and Perrimon
	transcription gene	(1993) Development
	silencing	118: 401-415

Other biological activities that can be modulated by the iron responsive genes and gene products are listed in the REFERENCE Table. Assays for detecting such biological activities are described in the Protein Domain table.

Iron responsive genes are characteristically differentially transcribed in response to fluctuating iron levels or concentrations, whether internal or external to an organism or cell. MA_diff table reports the changes in transcript levels of various iron responsive genes.

The microarray comparison consists of probes prepared from root RNA of A. thaliana (Columbia) seedlings grown under iron-sufficient conditions and seedlings grown under iron-deficient. The data from this experiment reveal a number of types genes and gene products. Profiles of these different iron responsive genes are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	responders to iron	Iron perception	Transporters
transcripts	application	Iron uptake and	Metabolic enzymes
		transport	Change in cell
		Iron metabolism	membrane structure
		Synthesis of	and potential
		secondary	Kinases and
		metabolites	phosphatases
		and/or proteins	Transcription
		Modulation of	activators
		iron response	Change in chromatin
		transduction	structure and/or
		pathways	localized DNA
		Specific gene	topology
		transcription
		initiation
Down-regulated	responder to iron	Negative	Transcription factors
transcripts	repressors of iron state	regulation of iron	Change in protein
	of metabolism	pathways	structure by
	Genes with	Changes in	phosphorylation
	discontinued	pathways and	(kinases) or
	expression or	processes	dephosphoryaltion
	unsTable mRNA in	operating in cells	(phosphatases)
	presence of iron	Changes in other	Change in chromatin
		metabolisms than	structure and/or
		iron	DNA topology
			Stability of factors
			for protein synthesis
			and degradation
			Metabolic enzymes

Use of Promoters of Iron Responsive Genes

Promoters of Iron responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Iron responsive genes where the desired sequence is operably linked to a promoter of a Iron responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E.15. Shade Responsive Genes, Gene Components and Products

Plants sense the ratio of Red (R):Far Red (FR) light in their environment and respond differently to particular ratios. A low R:FR ratio, for example, enhances cell elongation and favors flowering over leaf production. The changes in R:FR ratios mimic and cause the shading response effects in plants. The response of a plant to shade in the canopy structures of agricultural crop fields influences crop yields significantly. Therefore manipulation of genes regulating the shade avoidance responses can improve crop yields. While phytochromes mediate the shade avoidance response, the down-stream factors participating in this pathway are largely unknown. One potential downstream participant, ATHB-2, is a member of the HD-Zip class of transcription factors and shows a strong and rapid response to changes in the R:FR ratio. ATHB-2 overexpressors have a thinner root mass, smaller and fewer leaves and longer hypocotyls and petioles. This elongation arises from longer epidermal and cortical cells, and a decrease in secondary vascular tissues, paralleling the changes observed in wild-type seedlings grown under conditions simulating canopy shade. On the other hand, plants with reduced ATHB-2 expression have a thick root mass and many larger leaves and shorter hypocotyls and petioles. Here, the changes in the hypocotyl result from shorter epidermal and cortical cells and increased proliferation of vascular tissue. Interestingly, application of Auxin is able to reverse the root phenotypic consequences of high ATHB-2 levels, restoring the wild-type phenotype. Consequently, given that ATHB-2 is tightly regulated by phytochrome, these data suggest that ATHB-2 may link the Auxin and phytochrome pathways in the shade avoidance response pathway.

Changes in R:FR ratios promote changes in gene expression. Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by hybridizing labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The US Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing about 10,000 non-redundant ESTs, selected from about 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases in plants given 4 hours of FR rich light after growth in high R:FR light compared with the controls of plants grown in high R:FR light only, were identified, compared to the Ceres full length cDNA and genomic sequence databanks, and equivalent Ceres clones identified. The MA_diff table(s) report(s) the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which are shade avoidance responsive genes.

Examples of far red light induced, shade avoidance responsive genes and gene products are shown in the Reference and Sequence Tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield.

While far red light, shade avoidance responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different shade avoidance responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of a shade avoidance responsive polynucleotide and/or gene product with another environmentally responsive polynucleotides is also useful because of the interactions that exist between hormone-regulated pathways, stress and pathogen induced pathways, nutritional pathways, light induced pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in common or overlapping pathways.

Such far red light induced shade avoidance responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either in response to changes in far red light or in the absence of far red light fluctuations. The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Shade (relating to SMD 8130, SMD 7230)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Shade genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Shade Genes Identified by Cluster Analyses of Differential Expression

Shade Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Shade genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Shade (relating to SMD 8130, SMD 7230) of the MA_diff table(s).

Shade Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Shade genes. A group in the MA_clust is considered a Shade pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Shade Genes Identified by Amino Acid Sequence Similarity

Shade genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Shade genes. Groups of Shade genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Shade pathway or network is a group of proteins that also exhibits Shade functions/utilities.

Further, promoters of shade avoidance responsive genes, as described in the Reference tables, for example, are useful to modulate transcription that is induced by shade avoidance or any of the following phenotypes or biological activities below. Further, any desired sequence can be transcribed in similar temporal, tissue, or environmentally specific patterns as the shade avoidance responsive genes when the desired sequence is operably linked to a promoter of a circadian (clock) responsive gene.

III.E.15.a. Use of Far Red Responsive, Shade Avoidance Response Genes to Modulate Phenotypes

High FR:R, shade avoidance responsive genes and gene products can be used to alter or modulate one or more phenotypes including growth; roots; elongation; lateral root formation; stems; elongation; expansion; leaves; expansion; carotenoid composition; development; cell; photosynthetic apparatus; efficiency; flower; flowering time; fruit; seed; dormancy; control rate and timing of germination; prolongs seed storage and viability; inhibition of hydrolytic enzyme synthesis; seed and fruit yield; senescence; abscission; leaf fall; flower longevity; differentiation; vascularization; and shade (avoidance) responses in plant architecture.

To regulate any of the phenotype(s) above, activities of one or more of the High FR:R light, shade avoidance responsive genes or gene products can be modulated and the plants tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and/or screened for variants as in Winkler et al. (1998) Plant Physiol 118: 743-50 and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Carabelli et al. (1996, PNAS USA 93: 3530-3535), Aguirrezabal and Tardieu (1996, J Exp Bot 47: 411-20), Heyer et al. (1995, Plant Physiol 109: 53-61), Garcia-Plazaola et al. (1997, J Exp Bot 48: 1667-74), Schwanz et al. (1996, J Exp Bot 47L 1941-50), Koehne et al. (1999, Biochem Biophys Acta 1412:94-107), Melis (1984, J Cell Biochem 24: 271-85), Steindeler et al. (1999, Development 126: 4235-45), Cruz (1997, J Exp Bot 48: 15-24), Stephanou and Manetas (1997, J Exp Bot 48: 1977-85), Grammatikopoulos et al (1999, J Exp Bot 50:517-21), Krause et al. (1999, Plant Physiol 121: 1349-58), Aukerman et al. (1997, Plant Cell 9: 1317-26), Wagner et al. (1997, Plant Cell 9: 731-43), Weinig (2000) Evolution Int J Org Evolution 54: 124-26), Cocburn et al. (1996, J Exp Bot 47: 647-53), Devlin et al. (1999, Plant Physiol 119: 909-15), Devlin et al. (1998, Plant Cell 10: 1479-87), Finlayson et al. (1998, Plant Physiol 116: 17-25), Morelli and Ruberti (2000, Plant Physiol 122: 621-26), Aphalo et al. (1999, J Exp Bot 50: 1629-34), Sims et al. (1999, J Exp Bot 50:50:645-53) and Ballare (1999, Trends Plant Sci 4: 97-102).

III.E.15.b. Use of Far Red Light, Shade Avoidance Responsive Genes to Modulate Biochemical Activities

The activities of one or more of the far red light, shade avoidance responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES AND/OR	CITATIONS INCLUDING
PROCESS	PATHWAYS	ASSAYS
Cell Growth and	Cell Elongation	Carabelli et al. (1996) PNAS USA
Differentiation		93: 3530-35
	Leaf Expansion	Heyer et al. (1995) Plant Physiol
		109: 53-61
Photosynthesis	Development of	Jagtap et al. (1998) J Exp Bot 49:
	Photosynthetic Apparatus	1715-21
		Melis (1984) J Cell Biochem 24:
		271-285
		McCain (1995) Biophys J 69: 1105-10
	Carotenoid Composition	Garcia-Plazaola et al (1997) J Exp
		Bot 48: 1667-74
Carbon/Nitrogen	Carbon and Nitrogen	Cruz (1997) J Exp Bot 48: 15-24
Metabolism	Assimilation
Far red light, shade		Newton AL, Sharpe BK, Kwan A,
avoidance response		Mackay JP, Crossley M. J Biol
binding by transcription		Chem. 2000May 19; 275(20): 15128-34;
factors		Lopez Ribera I, Ruiz-Avila L,
		Puigdomenech P. Biochem Biophys
		Res Commun. 1997 Jul.
		18; 236(2): 510-6; de Pater S, Greco
		V, Pham K, Memelink J, Kijne J.
		Nucleic Acids Res. 1996 Dec. 1;
		24(23): 4624-31.
Signaling	UV Light Perception	Stephanou and Manetas (1997) J
		Exp Bot 48: 1977-85
	Far-red/Red Light	Aukerman et al. (1997) Plant Cell
	Perception	9: 1317-26
		Wagner et al. (1997) Plant Cell 9:
		731-43
	Interaction of “Shade	Finlayson et al. (1998) Plant
	Factor” with Ethylene	Physiol 116: 17-25
	Production/Transduction
	Interaction of “Shade	Reed et al. (1998) Plant Physiol
	Factor” with Auxin	118: 1369-78
	Production/Transduction
	Plant to Plant signalling	Sims et al. (1999) J Exp Bot 50:
		645-53

Other biological activities that can be modulated by shade avoidance response genes and their products are listed in the REF TABLES. Assays for detecting such biological activities are described in the Protein Domain table.

High FR:R, shade avoidance responsive genes are differentially transcribed in response to high FR:R ratios. The microarray comparison to reveal such genes consisted of probes prepared from RNA isolated from the aerial tissues of A. thaliana (Columbia) two-week old seedlings grown in high R:FR ratios compared to seedlings grown in high R:FR ratios followed by 4 hours of FR-rich light treatment. The data from this experiment reveal a number of types genes and gene products and examples of the classes of genes are given in the Table below.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Responders to high	Far red light	Transporters
transcripts	FR:R light ratios	perception	Metabolic enzymes
	Genes induced by	Metabolism	Change in cell
	high FR:R light ratio	affected by far red	membrane structure
		light	and potential
		Synthesis of	Kinases and
		secondary	phosphatases
		metabolites and/or	Transcription
		proteins	activators
		Modulation of	Change in chromatin
		high FR:R light	structure and/or
		ratio transduction	localized DNA
		pathways	topology
		Specific gene	Leaf production
		transcription	factors
		initiation
Down-regulated	Responders to high	Changes in	Transcription factors
transcripts	FR:R light ratios	pathways and	Change in protein
	Genes repressed by	processes	structure by
	high FR:R light ratio	operating in cells	phosphorylation
	Genes with	Changes in	(kinases) or
	discontinued	metabolisms other	dephosphorylation
	expression or	than far red	(phosphatases)
	unsTable mRNA	stimulated	Change in chromatin
	during high FR:R	pathways	structure and/or DNA
	ratio light		topology
			Stability of factors for
			protein synthesis and
			degradation
			Metabolic enzymes
			Cell elongation factors
			Flowering promotion
			factors

Use of Promoters of Shade Avoidance Genes

Promoters of Shade Avoidance genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Shade Avoidance genes where the desired sequence is operably linked to a promoter of a Shade Avoidance gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E.16. Sulfur Responsive Genes, Gene Components and Products

Sulfur is one of the important macronutrients required by plants. It is taken up from the soil solution by roots as in the form of sulfate anion which higher plants are dependent on to fulfill their nutritional sulfur requirement. After uptake from the soil, sulfate is either accumulated and stored in vacuole or it is assimilated into various organic compounds, e.g. cysteine, glutathione, methionine, etc. Thus, plants also serve as nutritional sulfur sources for animals. Sulfur can be assimilated in one of two ways: it is either incorporated as sulfate in a reaction called sulfation, or it is first reduced to sulfide, the substrate for cysteine synthesis. In plants, majority of sulfur is assimilated in reduced form.

Sulfur comprises a small by vital fraction of the atoms in many protein molecules. As disulfide bridges, the sulfur atoms aid in stabilizing the folded proteins, such cysteine residues. Cys is the first sulfur-containing amino acids, which in proteins form disulfide bonds that may affect the tertiary structures and enzyme activities. This redox balance is mediated by the disulfide/thiol interchange of thioredoxin or glutaredoxin using NADPH as an electron donor. Sulfur can also become sulfhydryl (SH) groups participating in the active sites of some enzymes and some enzymes require the aid of small molecules that contain sulfur. In addition, the machinery of photosynthesis includes some sulfur-containing compounds, such as ferrodoxin. Thus, sulfate assimilation plays important roles not only in the sulfur nutrition but also in the ubiquitous process that may regulate the biochemical reactions of various metabolic pathways.

Deficiency of sulfur leads to a marked chlorosis in younger leaves, which may become white in color. Other symptoms of sulfur deficiency also include weak stems and reduced growth. Adding sulfur fertilizer to plants can increase root development and a deeper green color of the leaves in sulfur-deficient plants. However, Sulfur is generally sufficient in soils for two reasons: it is a contaminant in potassium and other fertilizers and a product of industrial combustion. Sulfur limitation in plants is thus likely due to the limitation of the uptake and distribution of sulfate in plants. Seven cell type specific sulfate transporter genes have been isolated from Arabidopsis. In sulfate-starved plants, expression of the high-affinity transporter, AtST1-1, is induced in root epidermis and cortex for acquisition of sulfur. The low affinity transporter, AtST2-1 (AST68), accumulates in the root vascular tissue by sulfate starvation for root-to-shoot transport of sulfate. These studies have shown that the whole-plant process of sulfate transport is coordinately regulated by the expression of these 2 sulfate transporter genes under sulfur limited conditions. Recent studies have proposed that feeding of O-acetylserine, GSH and selenate may regulate the expression of AtST1-1 and AtST2-1 (AST68) in roots either positively or negatively. However, regulatory proteins that may directly control the expression of these genes have not been identified yet.

It has been established that there are regulatory interactions between assimilatory sulfate and nitrate reduction in plants. The two assimilatory pathways are very similar and well coordinated; deficiency for one element was shown to repress the other pathway. The coordination between them should be taken into consideration when one tries to alter one of pathways.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by simultaneously hybridizing two differentially labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing 10,000 non-redundant ESTs, selected from 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases over the controls were identified, compared to the Ceres full-length cDNA and genomic sequence databanks, and identical Ceres clones identified. MA_diff table reports the results of this analysis, indicating those Ceres clones which are up or down regulated over controls, thereby indicating the Ceres clones which are sulfur response responsive genes.

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Sulfur (relating to SMD 8034, SMD 8035)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Sulfur genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Sulfur Genes Identified by Cluster Analyses of Differential Expression

Sulfur Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Sulfur genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Sulfur (relating to SMD 8034, SMD 8035) of the MA_diff table(s).

Sulfur Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Sulfur genes. A group in the MA_clust is considered a Sulfur pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Sulfur Genes Identified by Amino Acid Sequence Similarity

Sulfur genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Sulfur genes. Groups of Sulfur genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Sulfur pathway or network is a group of proteins that also exhibits Sulfur functions/utilities.

III.E.16.a. Use of Sulfur Responsive Genes to Modulate Phenotypes

Sulfur responsive genes and gene products are useful to or modulate one or more phenotypes including growth; roots; stems; leaves; development; chloroplasts and mitochondria; fruit development; seed development; seed storage proteins; senescence; differentiation; plastid/chloroplast and mitochondria differentiation; protection against oxidative damage; regulation of enzymes via redox control by thiol groups; metabolic detoxification; photosynthesis; and carbon dioxide fixation.

To improve any of the phenotype(s) above, activities of one or more of the sulfur responsive genes or gene products can be modulated and tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed. As an example, a plant can be transformed according to Bechtold and Pelletier (1998, Methods. Mol. Biol. 82:259-266) and visually inspected for the desired phenotype or metabolically and/or functionally assayed according to Saito et al. (1994, Plant Physiol. 106: 887-95), Takahashi et al (1997, Proc. Natl. Acad. Sci. USA 94: 11102-07) and Koprivova et al. (2000, Plant Physiol. 122: 737-46).

III.E. 16.b. Use of Sulfur-Responsive Genes, Gene Components and Products to Modulate Biochemical Activities

The activities of one or more of the sulfur responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC ACTIVITIES	CITATIONS INCLUDING
PROCESS	AND/OR PATHWAYS	ASSAYS
Growth,	Root	Klein and Klein (1988) Mineral
Differentiation and	Leaf	Nutrition, In CM Wilson and J
Development	Stem	Gregory, eds Fundamentals of
	Chloroplast/Mitochondria	Plant Science. Harper and Row
	development/differentiation	Publishers, Inc., NY, p163
		Rost et al. (1984) The Absorption
		and Transport System, In R Bem,
		ed, Botany-A Brief Introduction to
		Plant Biology. John Wiley and
		Sons, NY, p96.
		Huluigue et al. (2000) Biochem
		Biophys Res Commun 271: 380-5
		Kapazoglou et al. (2000) Eur J
		Biochem 267: 352-60
	Seed storage protein	Kim et al. (1999) 209: 282-9
	synthesis
Metabolisms	Sulfate uptake and transport	Takahashi et al. (1997) Proc Natl
		Acad Sci USA 94: 11102-07
	Cysteine Biosynthesis	Saito et al. (1992) Proc Natl Acad
		Sci USA 89: 8078-82
		Hesse et al. (1999) Amino Acids
		16: 113-31
	Methionine biosynthesis	Bourgis et al. (1999) Plant Cell 11:
		1485-98
	Carbon dioxide fixation in	Buchana (1991) Arch Biochem
	photosynthesis	Biophys 288: 1-9
	Thioredoxin reduction	Leustek and Saito (1999) Plant
		Phyiol 120: 637-43
		Mamedova et al. (1999) FEBS
		Lett 462: 421-4
	Nitrogen metabolism	Koprivova et al. (2000) Plant
		Physiol. 122: 737-46
		Yamaguchi et al. (1999) Biosci
		Biotechnol Biochem 63: 762-6
Plant Defenses	Reduction of oxidative	May et al. (1998) J Expt Bio 49:
	stress - oxygen metabolism	649-67
	and reactive oxygen species	Kreuz et al. (1996) Plant Physiol
	Detoxification of toxins,	111: 349-53
	xenobiotics and heavy	Zhao et al. (1998) Plant Cell 10:
	metals	359-70
	Defense against pathogens	Kyung and Fleming (1997) J Food
	or microbes	Prot 60: 67-71
	Disease prevention by	Fahey et al. (1997) Proc Natl Acad
	secondary sulfur-containing	Sci USA 94: 10367-72
	compounds
	Activation of kinases and	Davis et al. (1999) Plant Cell 11:
	phosphatases	1179-90

Other biological activities that can be modulated by the sulfur responsive genes and gene products are listed in the REFERENCE Table. Assays for detecting such biological activities are described in the Protein Domain table.

Sulfur responsive genes are characteristically differentially transcribed in response to fluctuating sulfur levels or concentrations, whether internal or external to an organism or cell. MA_diff table reports the changes in transcript levels of various sulfur responsive genes.

Profiles of these different sulfur responsive genes are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENES	CONSEQUENCES	ACTIVITY
Up regulated	Responders to sulfur	Sulfur perception	Transporters
transcripts	Application	Sulfur uptake and	Metabolic enzymes
		transport	Change in cell
		Sulfur metabolism	membrane structure
		Synthesis of	and potential
		secondary	Kinases and
		metabolites and/or	phosphatases
		proteins	Transcription
		Modulation of	activators
		sulfur response	Change in chromatin
		transduction	structure and/or
		pathways	localized DNA
		Specific gene	topology
		transcription	Redox control
		initiation
Down-regulated	responder to sulfur	Negative	Transcription factors
transcripts	repressors of sulfur	regulation of	Change in protein
	state of metabolism	sulfur pathways	structure by
	Genes with	Changes in	phosphorylation
	discontinued	pathways and	(kinases) or
	expression or	processes	dephosphoryaltion
	unsTable mRNA in	operating in cells	(phosphatases)
	presence of sulfur	Changes in other	Change in chromatin
		metabolisms than	structure and/or DNA
		sulfur	topology
			Stability of factors for
			protein synthesis and
			degradation
			Metabolic enzymes

Use of Promoters of Sulfur Responsive Genes

Promoters of Sulfur responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Sulfur responsive genes where the desired sequence is operably linked to a promoter of a Sulfur responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

III.E.17. Zinc Responsive Genes, Gene Components and Products

Phytoremediation of soils contaminated with toxic levels of heavy metals requires the understanding of plant metal transport and tolerance. The numerous Arabidopsis thaliana studies have given scientists the potential for dissection and elucidation of plant micronutrient/heavy metal uptake and accumulation pathways. It has been shown altered regulation of ZNT1, a Zn/Cd transporter, contributes to high Zn uptake. Isolation and characterization of Zn/Cd hyperaccumulation genes may allow expression in higher biomass plant species for efficient contaminated soil clean up. Identification of additional Zn transport, tolerance and nutrition-related genes involved in heavy metal accumulation will enable manipulation of increased uptake (for phytoremediation) as well as limitation of uptake or leak pathways that contribute to toxicity in crop plants. Additionally, Zn-binding ligands involved in Zn homeostasis or tolerance may be identified, as well as factors affecting the activity or expression of Zn binding transcription factors. Gene products acting in concert to effect Zn uptake, which would not have been identified in complementation experiments, including multimeric transporter proteins, could also be identified.

Microarray technology allows monitoring of gene expression levels for thousands of genes in a single experiment. This is achieved by simultaneously hybridizing two differentially labeled fluorescent cDNA pools to glass slides that contain spots of DNA (Schena et al. (1995) Science 270: 467-70). The Arabidopsis Functional Genomics Consortium (AFGC) has recently made public the results from such microarray experiments conducted with AFGC chips containing 10,000 non-redundant ESTs, selected from 37,000 randomly sequenced ESTs generated from mRNA of different tissues and developmental stages.

The sequences of the ESTs showing at least two-fold increases or decreases over the controls were identified, compared to the Ceres full-length cDNA and genomic sequence databanks, and identical Ceres clones identified. The Zn response information was then used in conjunction with the existing annotation to attribute biological function or utility to the full-length cDNA and corresponding genomic sequence.

The MA_diff Table(s) reports the transcript levels of the experiment (see EXPT ID: Zinc (relating to SMD 7310, SMD 7311)). For transcripts that had higher levels in the samples than the control, a “+” is shown. A “−” is shown for when transcript levels were reduced in root tips as compared to the control. For more experimental detail see the Example section below.

Zinc genes are those sequences that showed differential expression as compared to controls, namely those sequences identified in the MA_diff tables with a “+” or “−” indication.

Zinc Genes Identified by Cluster Analyses of Differential Expression

Zinc Genes Identified by Correlation to Genes that are Differentially Expressed

As described above, the transcription profiles of genes that act together are well correlated. Applicants not only have identified the genes that are differentially expressed in the microarray experiments, but also have identified the genes that act in concert with them. The MA_clust table indicates groups of genes that have well correlated transcription profiles and therefore participate in the same pathway or network.

A pathway or network of Zinc genes is any group in the MA_clust that comprises a cDNA ID that also appears in Expt ID Zinc (relating to SMD 7310, SMD 7311) of the MA_diff table(s).

Zinc Genes Identified by Correlation to Genes that Cause Physiological Consequences

Additionally, the differential expression data and the phenotypic observations can be merged to identify pathways or networks of Zinc genes. A group in the MA_clust is considered a Zinc pathway or network if the group comprises a cDNA ID that also appears in Knock-in or Knock-out tables that causes one or more of the phenotypes described in section above.

Zinc Genes Identified by Amino Acid Sequence Similarity

Zinc genes from other plant species typically encode polypeptides that share amino acid similarity to the sequences encoded by corn and Arabidopsis Zinc genes. Groups of Zinc genes are identified in the Protein Group table. In this table, any protein group that comprises a peptide ID that corresponds to a cDNA ID member of a Zinc pathway or network is a group of proteins that also exhibits Zinc functions/utilities.

III.E.17.a. Use of Zn Transport, Tolerance and Nutrition-Related Genes to Modulate Phenotypes

Changes in zinc concentration in the surrounding environment or in contact with a plant results in modulation of many genes and gene products. Examples of such zinc responsive genes and gene products are shown in the Reference, Sequence tables, Protein Group, Protein Group Matrix, MA_diff, and MA_clust tables. These genes and/or products are responsible for effects on traits such as plant vigor and seed yield.

While zinc responsive polynucleotides and gene products can act alone, combinations of these polynucleotides also affect growth and development. Useful combinations include different zinc responsive polynucleotides and/or gene products that have similar transcription profiles or similar biological activities, and members of the same or similar biochemical pathways. In addition, the combination of a zinc responsive polynucleotide and/or gene product with another environmentally responsive polynucleotide is also useful because of the interactions that exist between hormone-regulated pathways, stress pathways, nutritional pathways and development. Here, in addition to polynucleotides having similar transcription profiles and/or biological activities, useful combinations include polynucleotides that may have different transcription profiles but which participate in a common pathway.

Such zinc responsive genes and gene products can function to either increase or dampen the above phenotypes or activities either

• • in response to changes in zinc concentration or
  • in the absence of zinc fluctuations.

Zn transport, tolerance and nutrition-related genes and gene products can be used to alter or modulate one or more phenotypes including Zn uptake; transport of Zn or other heavy metals into roots; epidermal/cortical uptake; Xylem loading; Zn compartmentation; Xylem unloading; Phloem loading; efflux from cells to apoplast; sequestration in vacuoles/subcellular compartments; Zn tolerance; chelation of Zn; transport of Zn; metabolic and transcriptional control; activity of Zn binding enzymes; and activity of Zn binding transcription factors.

To improve any of the phenotype(s) above, activities of one or more of the Zn transport, tolerance and nutrition-related genes or gene products can be modulated and the plants can be tested by screening for the desired trait. Specifically, the gene, mRNA levels, or protein levels can be altered in a plant utilizing the procedures described herein and the phenotypes can be assayed, for example, in accordance to Lasat M M, Pence N S, Garvin D F, Ebbs S D, Kochian L V. J Exp Bot. 2000 January; 51(342):71-9; Grotz N, Fox T, Connolly E, Park W, Guerinot M L, Eide D. Proc Natl Acad Sci USA. 1998 Jun. 9; 95(12):7220-4; Crowder M W, Maiti M K, Banovic L, Makaroff C A. FEBS Lett. 1997 Dec. 1; 418(3):351-4; Hart J J, Norvell W A, Welch R M, Sullivan L A, Kochian L V. Plant Physiol. 1998 September; 118(1):219-26.

III.E.17.b. Use of Zn Transport, Tolerance and Nutrition-Related Genes to Modulate Biochemical Activities

Alternatively, the activities of one or more of the zinc responsive genes can be modulated to change biochemical or metabolic activities and/or pathways such as those noted below. Such biological activities can be measured according to the citations included in the Table below:

	BIOCHEMICAL OR
	METABOLIC
	ACTIVITIES AND/OR	CITATIONS INCLUDING
PROCESS	PATHWAYS	ASSAYS
Zn Uptake and	Zn Influx	Lasat MM, Pence NS, Garvin DF,
Assimilation		Ebbs SD, Kochian LV. J Exp Bot.
		2000 January; 51(342): 71-9.
	Zn compartmentation	Hart JJ, Norvell WA, Welch RM,
		Sullivan LA, Kochian LV. Plant
		Physiol. 1998 September; 118(1): 219-26.
Zn binding by metabolic		Crowder MW, Maiti MK, Banovic L,
enzymes		Makaroff CA.FEBS Lett. 1997
		Dec. 1; 418(3): 351-4; Kenzior AL,
		Folk WR. FEBS Lett. 1998 Dec.
		4; 440(3): 425-9.
Zn binding by		Newton AL, Sharpe BK, Kwan A,
transcription factors		Mackay JP, Crossley M. J Biol
		Chem. 2000May19; 275(20): 15128-34;
		Lopez Ribera I, Ruiz-Avila L,
		Puigdomenech P. Biochem Biophys
		Res Commun. 1997 Jul.
		18; 236(2): 510-6; de Pater S, Greco V,
		Pham K, Memelink J, Kijne J.
		Nucleic Acids Res. 1996 Dec.
		1; 24(23): 4624-31.
Synthesis of proteins to		Schafer HJ, Greiner S,
chelate Zn and other		Rausch T, Haag-Kerwer A.
metals		FEBS Lett. 1997 Mar.
		10; 404(2-3): 216-20.
		Rauser WE.Cell Biochem
		Biophys. 1999; 31(1): 19-48.
Synthesis of metabolites		Rauser WE.Cell Biochem Biophys.
to chelate Zn and other		1999; 31(1): 19-48.
metals

Other biological activities that can be modulated by Zn transport, tolerance and nutrition-related genes and their products are listed in the Reference tables. Assays for detecting such biological activities are described in the Protein Domain table.

Zn transport, tolerance and nutrition-related genes are differentially transcribed in response to low Zn concentrations. The microarray comparison consists of probes prepared from root RNA of A. thaliana (Columbia) seedlings hydroponically grown in complete nutrient medium (control) and Zn deficient seedlings grown in −Zn nutrient medium (experimental). The data from this experiment reveal a number of types genes and gene products. MA_diff table reports the changes in transcript levels of various zinc responsive genes in entire seedlings at 1 and 6 hours after a plant was sprayed with a Hoagland's solution enriched with zinc as compared to seedlings sprayed with Hoagland's solution only.

The data from this time course can be used to identify a number of types of zinc responsive genes and gene products, including “early responding,” “high zinc responders,” “repressors of zinc deprivation pathways” and “zinc deprivation responders.” Profiles of these different zinc responsive genes are shown in the Table below with examples of associated biological activities.

			EXAMPLES OF
TRANSCRIPT		PHYSIOLOGICAL	BIOCHEMICAL
LEVELS	TYPE OF GENE	CONSequence	ACTIVITY
Upregulated	Early responders to	Zinc Perception	Transcription
transcripts (level at	Zinc	Zinc Uptake	Factors
1 hour ≅ 6 hours)		Modulation of Zinc	Transporters
(level at 1 hour > 6		Response Transduction
hours)		Pathways
		Specific Gene
		Transcription Initiation
	Zinc Deprivation	Repression of Pathways	Inhibit Transport of
	Responders	to Optimize Zinc	Zinc
		Response Pathways	Degradation
Level at 1 hour < 6	Delayed Zinc		Zinc Metabolic
hours	Responders		Pathways
	Repressor of Zinc	Negative Regulation of
	Deprivation Pathways	Zinc Pathways
Down Regulated	Early responder	Negative Regulators of	Suppressing Zinc
transcripts (Level	repressors of Zinc	Zinc Utilization Pathways	Requiring processes
at 1 hour ≅ 6	utilization Pathways
hours)
(Level at 6 hours >
1 hour)
Level at 1 hour > 6	Genes with	Changes in pathways and
hours	discontinued	processes operating I cells
	expression or
	unsTable mRNA
	following Zinc uptake

Use of Promoters of Zinc Responsive Genes

Promoters of Zinc responsive genes are useful for transcription of any desired polynucleotide or plant or non-plant origin. Further, any desired sequence can be transcribed in a similar temporal, tissue, or environmentally specific patterns as the Zinc responsive genes where the desired sequence is operably linked to a promoter of a Zinc responsive gene. The protein product of such a polynucleotide is usually synthesized in the same cells, in response to the same stimuli as the protein product of the gene from which the promoter was derived. Such promoter are also useful to produce antisense mRNAs to down-regulate the product of proteins, or to produce sense mRNAs to down-regulate mRNAs via sense suppression.

IV. Utilities of Particular Interest

Genes capable of modulating the phenotypes in the following table are useful produce the associated utilities in the table. Such genes can be identified by their cDNA ID number in the Knock-in and Knock-out Tables. That is, those genes noted in those Tables to have a phenotype as listed in the following column entitled “Phenotype Modulated by a Gene” are useful for the purpose identified in the corresponding position in the column entitled “Utilities”.

Phenotype
Modulated by a Gene	Utilities
Leaf shape	Cordate	decrease wind opacity,
	Cup-shaped	decrease lodging (plant fall over),
	Curled	increase biomass by making larger or
		different shaped leaves,
	Laceolate	improve the efficiency of mechanical
		harvesting,
	Lobed	decrease transpiration for better drought
		tolerance,
	Oval	changing leaf shape to collect and absorb
		water,
	Ovate	modulation of canopy structure and shading
		for altered irradiance close to the ground,
	Serrate	enhanced uptake of pesticides (herbicides,
		fungicides, etc),
	Trident	creation of ornamental leaf shapes,
	Undulate	increase resistance to pathogens by
		decreasing amount of water that collects on
		leaves,
	Vertically	change proporation of cell types in the
	Oblong	leaves for enhanced photosynthesis,
		decreased transpiration, and enhanced
	Other Shapes	accumulation of desirable compounds
		including secondary metabolites in
		specialized cells,
		decrease insect feeding,
	Long	decrease wind opacity,
	petioles
	Short	decrease lodging (plant fall over),
	petioles	increase biomass by better positioning of
		the leaf blade,
		decrease insect feeding,
		decrease transpiration for better drought
		tolerance,
		position leaves most effectively for
		photosynthetic efficiency
	Fused	ornamental applications to make distinctive
		plants,
Reduced	Short	increase or decrease the number of seeds in
fertility	siliques	a fruit,
		increasing fruit size,
		modulating fruit shape to better fit
		harvesting or packaging requirements,
		useful for controlling dehisence and seed
		scatter
	Reduced	useful in hybrid breeding programs,
	fertility	increasing fruit size,
	Sterility	production of seedless fruit,
		useful as targets for gametocides,
		modulating fruit shape to better fit
		harvesting or packaging requirements,
		useful for controlling dehisence and seed
		scatter
	Flower size	useful for edible flowers
		useful for flower derived products such as
		fragrances
		useful for modulating seed size and number
		in combination with seed-specific genes
		value in the ornamental industry
Stature	Large	increasing or decreasing plant biomass,
	Small	optimizing plant stature to increase yield
		under various diverse environmental
		conditions, e.g., when water or nutrients
		are limiting,
	Dwarfs	decreasing lodging,
		increasing fruit number and size,
		controlling shading and canopy effects
Meristems		Change plant architecture,
		increase or decrease number of leaves as
		well as change the types of leaves to
		increase biomass,
		improve photosynthetic efficiency,
		create new varieties of ornamental plants
		with enhanced leaf design,
		preventing flowering to opimize vegetative
		growth,
		control of apical dominace,
		increase or decrease flowering time to fit
		season, water or fertilizer schedules,
		change arrangement of leaves on the stem
		(phyllotaxy) to optimize plant density,
		decrease insect feeding,
		or decrease pathogen infection,
		increase number of trichome/glandular
		trichome producing leaves
		targets for herbicides,
		generate ectopic meristems and ectopic
		growth of vegetative and floral tissues and
		seeds and fruits
Stem	Strong	modify lignin content/composition for
		creation of harder woods or reduce
		difficulty/costs in pulping for
	Weak	paper production or increase
		digestibility of forage crops,
		decrease lodging,
		modify cell wall polysaccharides in stems
		and fruits for improved texture and
		nutrition.
		increase biomass
	Late/Early	Break the need for long vernalization of
	Bolting	vernalization-dependent crops, e.g., winter
		wheat, thereby increasing yield
		decrease or increase generaton time
		increase biomass
Lethals	Embryo-	produce seedless fruit,
	lethal	use as herbicide targets
	Embryo-	produce seedless fruit,
	defective	use as herbicide targets
	Seedling	use as herbicide targets,
		useful for metabolic engineering,
	Pigment-	use as herbicide targets,
	lethals	increase photosynthetic efficiency
Pigment	Dark Green	Increase nutritional value,
		enhanced photosynthesis and carbon
		dioxide combustion and therefore increase
		plant vigor and biomass,
		enhanced photosynthetic efficiency and
		therefore increase plant vigor and biomass,
		prolong vegetative development,
		enhanced protection against pathogens,
	YGV1	Useful as targets for herbicides,
		increase photosynthetic efficiency and
		therefore increase plant vigor and biomass,
	YGV2	Useful as targets for herbicides,
		control of change from embryonic to adult
		organs,
		increase metabolic efficiency,
		increase photosynthetic efficiency and
		therefore increased plant vigor and biomass,
	YGV3	Useful as targets for herbicides,
		nitrogen sensing/uptake/usage,
		increase metabolic efficiency and therefore
		increased plant vigor and biomass,
	Interveinal	to increase photosynthetic efficiency and
	chlorosis	therefore increase plant vigor and biomass
		to increase or decrease nitrogen transport
		and therefore increase plant vigor and
		biomass
		use as herbicide targets
		increase metabolic efficiency,
Roots	Short	to access water from rainfall,
	(primary	to access rhizobia spray application, for
	root)	anaerobic soils,
		useful to facilitate harvest of root crops,
	Thick	useful for increasing biomass of root crops,
	(primary	for preventing plants dislodging during
	root)	picking and harvesting,
		as root grafts, for animal feeds
	Branching	modulation allows betters access to water,
	(primary	minerals, fertilizers, rhizobia prevent soil
	root)	erosion,s
		increasing root biomass
		decrease root lodging,
	Long	modulation allows improved access to
	(lateral	water, nutrients, fertilizer, rhizobia, prevent
	roots)	soil erosion
		increase root biomass
		decrease root lodging
		modulation allows control on the depth of
		root growth in soil to access water and
		nutriennts
		modulation allows hormonal control of root
		growth and development (size)
	Agravitropic	modulation allows control on the depth of
		root growth in soil
	Curling	modulation allows hormonal control of root
	(primary	growth and development (size)
	root)	useful in anaerobic soils in allowing roots
		to stay close to surface
		harvesting of root crops
	Poor
	germination
Trichome	Reduced	Genes useful for decreasing transpiration,
	Number	increased production of glandular trichomes
	Glabrous	for oil or other secreted chemicals of value,
	Increased	use as deterrent for insect herbivory and
	Number	ovipostion
		modulation will increase resistance to UV
		light,
Wax mutants		decrease insect herbivory and oviposition,
		compostion changes for the cosmetics
		industry,
		decrease transpiration,
		provide pathogen resistance,
		UV protection,
		modulation of leaf runoff properties and
		improved access for herbicides and
		fertilizers
Cotyledons		modulation of seeds structure in legumes,
		increase nutritional value,
		improve seedling competion under field
		conditions,
Seeds	Transparent	genes useful for metabolic engineering
	testa	anthocyanin and flavonoid pathways
	Light	improved nutritional content
	Dark	decrease petal abscission
Flowers	Other	decrease pod shattering
Hypocotysl	Long	to improve germination rates
		to improve plant survivability
	Short	to improve germination rates
		to improve plant survivability

V. Enhanced Foods

Animals require external supplies of amino acids that they cannot synthesize themselves. Also, some amino acids are required in larger quantities. The nutritional values of plants for animals and humans can thus be modified by regulating the amounts of the constituent amino acids that occur as free amino acids or in proteins. For instance, higher levels of lysine and/or methionine would enhance the nutritional value of corn seed. Applicants herein provide several methods for modulating the amino acid content:

• • (1) expressing a naturally occurring protein that has a high percentage of the desired amino acid(s);
  • (2) expressing a modified or synthetic coding sequence that has an enhanced percentage of the desired amino acids; or
  • (3) expressing the protein(s) that are capable of synthesizing more of the desired amino acids.A specific example is expressing proteins with enhanced, for example, methionine content, preferentially in a corn or cereal seed used for animal nutrition or in the parts of plants used for nutritional purposes.

A protein is considered to have a high percentage of an amino acid if the amount of the desired amino acid is at least 1% of the total number of residues in a protein; more preferably 2% or greater. Amino acids of particular interest are tryptophan, lysine, methionine, phenylalanine, threonine leucine, valine, and isoleucine. Examples of naturally occurring proteins with a high percentage of any one of the amino acid of particular interest are listed in the Enhanced Amino Acid Table.

The sequence(s) encoding the selected protein(s), are operably linked to a promoter and other regulatory sequences and transformed into a plant as described below. The promoter is chosen optimally for promoting the desired level of expression of the protein in the selected organ e.g. a promoter highly functional in seeds. Modifications may be made to the sequence encoding the protein to ensure protein transport into, for example, organelles or storage bodies or its accumulation in the organ. Such modifications may include addition of signal sequences at or near the N terminus and amino acid residues to modify protein stability or appropriate glycosylation. Other modifications may be made to the transcribed nucleic acid sequence to enhance the stability or translatability of the mRNA, in order to ensure accumulation of more of the desired protein. Suitable versions of the gene construct and transgenic plants are selected on the basis of, for example, the improved amino acid content and nutritional value measured by standard biochemical tests and animal feeding trials.

VI. Use of Novel Genes to Facilitate Exploitation of Plants as Factories for the Synthesis of Valuable Molecules

Plants and their constituent cells, tissues, and organs are factories that manufacture small organic molecules such as sugars, amino acids, fatty acids, vitamins, etc., as well as macromolecules such as proteins, nucleic acids, oils/fats and carbohydrates. Plants have long been a source of pharmaceutically beneficial chemicals; particularly, the secondary metabolites and hormone-related molecules synthesized by plants. Plants can also be used as factories to produce carbohydrates or lipids that comprises a carbon backbone useful as precursors of plastics, fiber, fuel, paper, pulp, rubber, solvents, lubricants, construction materials, detergents, and other cleaning materials. Plants can also generate other compounds that are of economic value, such as dyes, flavors, and fragrances. Both the intermediates as well as the end-products of plant bio-synthetic pathways have been found useful.

With the polynucleotides and polypeptides of the instant invention, modification of both in-vitro and in-vivo synthesis of such products is possible. One method of increasing the amount of either the intermediates or the end-products synthesized in a cell is to increase the expression of one or more proteins in the synthesis pathway as discussed below. Another method of increasing production of an intermediate is to inhibit expression of protein(s) that synthesize the end-product from the intermediate. Levels of end-products and intermediates can also be modified by changing the levels of enzymes that specifically change or degrade them. The kinds of molecules made can be also be modified by changing the genes encoding specific enzymes performing reactions at specific steps of the biosynthetic pathway. These genes can be from the same or a different organism. The molecular structures in the biosynthetic pathways can thus be modified or diverted into different branches of a pathway to make novel end-products:

Novel genes comprising selected promoters and sequences encoding enzymes are transformed into the selected plant to modify the levels, composition and/or structure of, without limitation:

• • Terpenoids
  • Alkaloids
  • Hormones, including brassinosteriods
  • Flavonoids
  • Steroids
  • Vitamins such as
    • Retinol
    • Riboflavin
    • Thiamine
  • Caffeine
  • Morphine and other alkaloids
  • Peptides and amino acid synthesis
  • Antioxidants
  • Starches and lipids
  • Fatty acids
  • Fructose, mannose and other sugars
  • Glycerolipid
  • Citric acid
  • Lignin
  • Flavors
  • Fragrances
  • Essential oils
  • Colors or dyes
  • Gum
  • Gels
  • Waxes

The modifications are made by designing one or more novel genes per application comprising promoters, to ensure production of the enzyme(s) in the relevant cells, in the right amount, and polynucleotides encoding the relevant enzyme. The promoters and polynucleotides are the subject of this application. The novel genes are transformed into the relevant species using standard procedures. Their effects are measured by standard assays for the specific chemical/biochemical products.

These polynucleotides and proteins of the invention that participate in the relevant pathways and are useful for changing production of the above chemicals and biochemicals are identified in the Reference tables by their enzyme function. More specifically, proteins of the invention that have the enzymatic activity of one of the entries in the following table entitled “Enzymes Effecting Modulation of Biological Pathways” are of interest to modulate the corresponding pathways to produce precursors or final products noted above that are of industrial use. Biological activities of particular interest are listed below.

Other polynucleotides and proteins that regulate where, when and to what extent a pathway is active in a plant are extremely useful for modulating the synthesis and accumulation of valuable chemicals. These elements including transcription factors, proteins involved in signal transduction and other proteins in the control of gene expression are described elsewhere in this application.

Pathway
Name	Enzyme Description
		Comments
Alkaloid	Morphine 6-	Also acts on other alkaloids, including codeine,
biosynthesis I	dehydrogenase	normorphine and ethylmorphine, but only very
		slowly on 7,8-saturated derivatives such as
		dihydromorphine and dihydrocodeine In the
		reverse direction, also reduces naloxone to the
		6-alpha-hydroxy analog Activated by 2-
		mercaptoethanol
	Codeinone reductase	Stereospecifically catalyses the reversible
	(NADPH)	reduction of codeinone to codeine, which is a
		direct precursor of morphine in the opium
		poppy plant, Papaver somniferum
	Salutaridine reductase	Stereospecifically catalyses the reversible
	(NADPH)	reduction of salutaridine to salutaridinol, which
		is a direct precursor of morphinan alkaloids in
		the poppy plant, Papaver somniferum
	(S)-stylopine synthase	Catalyses an oxidative reaction that does not
		incorporate oxygen into the product Forms the
		second methylenedioxy bridge of the
		protoberberine alkaloid stylopine from
		oxidative ring closure of adjacent phenolic and
		methoxy groups of cheilanthifoline
	(S)-cheilanthifoline	Catalyses an oxidative reaction that does not
	synthase	incorporate oxygen into the product Forms the
		methylenedioxy bridge of the protoberberine
		alkaloid cheilanthifoline from oxidative ring
		closure of adjacent phenolic and methoxy
		groups of scoulerine
	Salutaridine synthase	Forms the morphinan alkaloid salutaridine by
		intramolecular phenol oxidation of reticuline
		without the incorporation of oxygen into the
		product
	(S)-canadine synthase	Catalyses an oxidative reaction that does not
		incorporate oxygen into the product Oxidation
		of the methoxyphenol group of the alkaloid
		tetrahydrocolumbamine results in the
		formation of the methylenedioxy bridge of
		canadine
	Protopine 6-	Involved in benzophenanthridine alkaloid
	monooxygenase	synthesis in higher plants
	Dihydrosanguinarine	Involved in benzophenanthridine alkaloid
	10-monooxygenase	synthesis in higher plants
	Monophenol	A group of copper proteins that also catalyse
	monooxygenase	the reaction of EC 1.10.3.1, if only 1,2-
		benzenediols are available as substrate
	L-amino acid oxidase
	1,2-dehydroreticulinium	Stereospecifically reduces the 1,2-
	reductase (NADPH)	dehydroreticulinium ion to (R)-reticuline,
		which is a direct precursor of morphinan
		alkaloids in the poppy plant, papaver
		somniferum The enzyme does not catalyse the
		reverse reaction to any significant extent under
		physiological conditions
	Dihydrobenzo-	Also catalyzes: dihydrochelirubine + O(2) =
	phenanthridine oxidase	chelirubine + H(2)O(2) Also catalyzes:
		dihydromacarpine + O(2) = macarpine +
		H(2)O(2) Found in higher plants Produces
		oxidized forms of the benzophenanthridine
		alkaloids
	Reticuline oxidase	The product of the reaction, (S)-scoulerine, is a
		precursor of protopine, protoberberine and
		benzophenanthridine alkaloid biosynthesis in
		plants Acts on (S)-reticuline and related
		compounds, converting the N-methyl group
		into the methylene bridge ({grave over ( )}berberine
		bridge[PRIME]) of (S)-
		tetrahydroprotoberberines
	3[PRIME]-hydroxy-N-	Involved in isoquinoline alkaloid metabolism
	methyl-(S)-coclaurine	in plants Has also been shown to catalyse the
	4[PRIME]-O-	methylation of (R,S)-laudanosoline, (S)-
	methyltransferase	3[PRIME]-hydroxycoclaurine and (R,S)-7-O-
		methylnoraudanosoline
	(S)-scoulerine 9-O-	The product of this reaction is a precursor for
	methyltransferase	protoberberine alkaloids in plants
	Columbamine O-	The product of this reaction is a protoberberine
	methyltransferase	alkaloid that is widely distributed in the plant
		kingdom Distinct in specificity from EC
		2.1.1.88
	10-hydroxydihydro-	Part of the pathway for synthesis of
	sanguinarine 10-O-	benzophenanthridine alkaloids in plants
	methyltransferase
	12-hydroxydi-	Part of the pathway for synthesis of
	hydrochelirubine 12-O-	benzophenanthridine alkaloid macarpine in
	methyltransferase	plants
	(R,S)-norcoclaurine 6-	Norcoclaurine is 6,7-dihydroxy-1-[(4-
	O-methyltransferase	hydroxyphenyl)methyl]-1,2,3,4-
		tetrahydroisoquinoline The enzyme will also
		catalyse the 6-O-methylation of (R,S)-
		norlaudanosoline to form 6-O-methyl-
		norlaudanosoline, but this alkaloid has not
		been found to occur in plants
	Salutaridinol 7-O-	At higher pH values the product, 7-O-
	acetyltransferase	acetylsalutaridinol, spontaneously closes the 4->
		5 oxide bridge by allylic elimination to form
		the morphine precursor thebaine From the
		opium poppy plant, Papaver somniferum
	Aspartate	Also acts on L-tyrosine, L-phenylalanine and
	aminotransferase	L-tryptophan. This activity can be formed from
		EC 2.6.1.57 by controlled proteolysis
	Tyrosine	L-phenylalanine can act instead of L-tyrosine
	aminotransferase	The mitochondrial enzyme may be identical
		with EC 2.6.1.1 The three isoenzymic forms
		are interconverted by EC 3.4.22.4
	Aromatic amino acid	L-methionine can also act as donor, more
	transferase	slowly Oxaloacetate can act as acceptor
		Controlled proteolysis converts the enzyme to
		EC 2.6.1.1
	Tyrosine decarboxylase	The bacterial enzyme also acts on 3-
		hydroxytyrosine and, more slowly, on 3-
		hydroxyphenylalanine
	Aromatic-L-amino-acid	Also acts on L-tryptophan, 5-hydroxy-L-
	decarboxylase	tryptophan and dihydroxy-L-phenylalanine
		(DOPA)
Alkaloid	Tropine dehydrogenase	Oxidizes other tropan-3-alpha-ols, but not the
biosynthesis		corresponding beta-derivatives
II
	Tropinone reductase
	Hyoscyamine (6S)-
	dioxygenase
	6-beta-
	hydroxyhyoscyamine
	epoxidase
	Amine oxidase (copper-	A group of enzymes including those oxidizing
	containing)	primary amines, diamines and histamine One
		form of EC 1.3.1.15 from rat kidney also
		catalyses this reaction
	Putrescine N-
	methyltransferase
	Ornithine
	decarboxylase
	Oxalyl-CoA
	decarboxylase
	Phenylalanine	May also act on L-tyrosine
	ammonia-lyase
Androgen and	3-beta-hydroxy-	Acts on 3-beta-hydroxyandrost-5-en-17-one to
estrogen	delta(5)-steroid	form androst-4-ene-3,17-dione and on 3-beta-
metabolism	dehydrogenase	hydroxypregn-5-en-20-one to form
		progesterone
	11-beta-hydroxysteroid
	dehydrogenase
	Estradiol 17-alpha-
	dehydrogenase
	3-alpha-hydroxy-5-
	beta-androstane-17-one
	3-alpha-dehydrogenase
	3-alpha (17-beta)-	Also acts on other 17-beta-hydroxysteroids, on
	hydroxysteroid	the 3-alpha-hydroxy group of pregnanes and
	dehydrogenase (NAD+)	bile acids, and on benzene dihydrodiol
		Different from EC 1.1.1.50 or EC 1.1.1.213
	3-alpha-hydroxysteroid	Acts on other 3-alpha-hydroxysteroids and on
	dehydrogenase (B-	9-,11- and 15-hydroxyprostaglandin B-
	specific)	specific with respect to NAD(+) or NADP(+)
		(cf. EC 1.1.1.213)
	3(or 17)beta-	Also acts on other 3-beta- or 17-beta-
	hydroxysteroid	hydroxysteroids (cf EC 1.1.1.209)
	dehydrogenase
	Estradiol 17 beta-	Also acts on (S)-20-hydroxypregn-4-en-3-one
	dehydrogenase	and related compounds, oxidizing the (S)-20-
		group B-specific with respect to NAD(P)(+)
	Testosterone 17-beta-
	dehydrogenase
	Testosterone 17-beta-	Also oxidizes 3-hydroxyhexobarbital to 3-
	dehydrogenase	oxohexobarbital
	(NADP+)
	Steroid 11-beta-	Also hydroxylates steroids at the 18-position,
	monooxygenase	and converts 18-hydroxycorticosterone into
		aldosterone
	Estradiol 6-beta-
	monooxygenase
	Androst-4-ene-3,17-	Has a wide specificity A single enzyme from
	dione monooxygenase	Cylindrocarpon radicicola (EC 1.14.13.54)
		catalyses both this reaction and that catalysed
		by EC 1.14.99.4
	3-oxo-5-alpha-steroid
	4-dehydrogenase
	3-oxo-5-beta-steroid 4-
	dehydrogenase
	UDP-	Family of enzymes accepting a wide range of
	glucuronosyltransferase	substrates, including phenols, alcohols, amines
		and fatty acids Some of the activities catalysed
		were previously listed separately as EC
		2.4.1.42, EC 2.4.1.59, EC 2.4.1.61, EC
		2.4.1.76, EC 2.4.1.77, EC 2.4.1.84, EC
		2.4.1.107 and EC 2.4.1.108 A temporary
		nomenclature for the various forms whose
		delineation is in a state of flux
	Steroid sulfotransferase	Broad specificity resembling EC 2.8.2.2, but
		also acts on estrone
	Alcohol	Primary and secondary alcohols, including
	sulfotransferase	aliphatic alcohols, ascorbate, chloramphenicol,
		ephedrine and hydroxysteroids, but not
		phenolic steroids, can act as acceptors (cf. EC
		2.8.2.15)
	Estrone sulfotransferase
	Arylsulfatase	A group of enzymes with rather similar
		specificities
	Steryl-sulfatase	Also acts on some related steryl sulfates
	17-alpha-
	hydroxyprogesterone
	aldolase
	Steroid delta-isomerase
C21-Steroid	3-beta-hydroxy-	Acts on 3-beta-hydroxyandrost-5-en-17-one to
hormone	delta(5)-steroid	form androst-4-ene-3,17-dione and on 3-beta-
metabolism	dehydrogenase	hydroxypregn-5-en-20-one to form
		progesterone
	11-beta-hydroxysteroid
	dehydrogenase
	20-alpha-	A-specific with respect to NAD(P)(+)
	hydroxysteroid
	dehydrogenase
	3-alpha-hydroxysteroid	Acts on other 3-alpha-hydroxysteroids and on
	dehydrogenase (B-	9-,11- and 15-hydroxyprostaglandin B-
	specific)	specific with respect to NAD(+) or NADP(+)
		(cf. EC 1.1.1.213)
	3-alpha(or 20-beta)-	The 3-alpha-hydroxyl group or 20-beta-
	hydroxysteroid	hydroxyl group of pregnane and androstane
	dehydrogenase	steroids can act as donors
	Steroid 11-beta-	Also hydroxylates steroids at the 18-position,
	monooxygenase	and converts 18-hydroxycorticosterone into
		aldosterone
	Corticosterone 18-
	monooxygenase
	Cholesterol	The reaction proceeds in three stages, with
	monooxygenase (side-	hydroxylation at C-20 and C-22 preceding
	chain cleaving)	scission of the side-chain at C-20
	Steroid 21-
	monooxygenase
	Progesterone 11-alpha-
	monooxygenase
	Steroid 17-alpha-
	monooxygenase
	Cholestenone 5-beta-
	reductase
	Cortisone beta-
	reductase
	Progesterone 5-alpha-	Testosterone and 20-alpha-hydroxy-4-pregnen-
	reductase	3-one can act in place of progesterone
	3-oxo-5-beta-steroid 4-
	dehydrogenase
	Steroid delta-isomerase
Flavonoids,	Coniferyl-alcohol	Specific for coniferyl alcohol; does not act on
stilbene and	dehydrogenase	cinnamyl alcohol, 4-coumaryl alcohol or
lignin		sinapyl alcohol
biosynthesis
	Cinnamyl-alcohol	Acts on coniferyl alcohol, sinapyl alcohol, 4-
	dehydrogenase	coumaryl alcohol and cinnamyl alcohol (cf. EC
		1.1.1.194)
	Dihydrokaempferol 4-	Also acts, in the reverse direction, on (+)-
	reductase	dihydroquercetin and (+)-dihydromyricetin
		Each dihydroflavonol is reduced to the
		corresponding cis-flavon-3,4-diol NAD(+) can
		act instead of NADP(+), more slowly Involved
		in the biosynthesis of anthocyanidins in plants
	Flavonone 4-reductase	Involved in the biosynthesis of 3-
		deoxyanthocyanidins from flavonones such as
		naringenin or eriodictyol
	Peroxidase
	Caffeate 3,4-
	dioxygenase
	Naringenin 3-
	dioxygenase
	Trans-cinnamate 4-	Also acts on NADH, more slowly
	monooxygenase
	Trans-cinnamate 2-
	monooxygenase
	Flavonoid 3[PRIME]-	Acts on a number of flavonoids, including
	monooxygenase	naringenin and dihydrokaempferol Does not
		act on 4-coumarate or 4-coumaroyl-CoA
	Monophenol	A group of copper proteins that also catalyse
	monooxygenase	the reaction of EC 1.10.3.1, if only 1,2-
		benzenediols are available as substrate
	Cinnamoyl-CoA	Also acts on a number of substituted
	reductase	cinnamoyl esters of coenzyme A
	Caffeoyl-CoA O-
	methyltransferase
	Luteolin O-	Also acts on luteolin-7-O-beta-D-glucoside
	methyltransferase
	Caffeate O-	3,4-dihydroxybenzaldehyde and catechol can
	methyltransferase	act as acceptor, more slowly
	Apigenin 4[PRIME]-O-	Converts apigenin into acacetin Naringenin
	methyltransferase	(5,7,4[PRIME]-trihydroxyflavonone) can also
		act as acceptor, more slowly
	Quercetin 3-O-	Specific for quercetin. Related enzymes bring
	methyltransferase	about the 3-O-methylation of other flavonols,
		such as galangin and kaempferol
	Isoflavone-7-O-beta-	The 6-position of the glucose residue of
	glucoside	formononetin can also act as acceptor Some
	6[PRIME][PRIME]-O-	other 7-O-glucosides of isoflavones, flavones
	malonyltransferase	and flavonols can also act, more slowly
	Pinosylvin synthase	Not identical with EC 2.3.1.74 or EC 2.3.1.95
	Naringenin-chalcone	In the presence of NADH and a reductase,
	synthase	6[PRIME]-deoxychalcone is produced
	Trihydroxystilbene	Not identical with EC 2.3.1.74 or EC 2.3.1.146
	synthase
	Quinate O-	Caffeoyl-CoA and 4-coumaroyl-CoA can also
	hydroxycinnamoyltransferase	act as donors, more slowly Involved in the
		biosynthesis of chlorogenic acid in sweet
		potato and, with EC 2.3.1.98 in the formation
		of caffeoyl-CoA in tomato
	Coniferyl-alcohol	Sinapyl alcohol can also act as acceptor
	glucosyltransferase
	2-coumarate O-beta-	Coumarinate (cis-2-hydroxycinnamate) does
	glucosyltransferase	not act as acceptor
	Scopoletin
	glucosyltransferase
	Flavonol-3-O-glucoside	Converts flavonol 3-O-glucosides to 3-O-
	L-rhamnosyltransferase	rutinosides Also acts, more slowly, on rutin,
		quercetin 3-O-galactoside and flavonol O3-
		rhamnosides
	Flavone 7-O-beta-	A number of flavones, flavonones and
	glucosyltransferase	flavonols can function as acceptors Different
		from EC 2.4.1.91
	Flavonol 3-O-	Acts on a variety of flavonols, including
	glucosyltransferase	quercetin and quercetin 7-O-glucoside
		Different from EC 2.4.1.81
	Flavone	7-O-beta-D-glucosides of a number of
	apiosyltransferase	flavonoids and of 4-substituted phenols can act
		as acceptors
	Coniferin beta-	Also hydrolyzes syringin, 4-cinnamyl alcohol
	glucosidase	beta-glucoside, and, more slowly, some other
		aryl beta-glycosides A plant cell-wall enzyme
		involved in the biosynthesis of lignin
	Beta-glucosidase	Wide specificity for beta-D-glucosides. Some
		examples also hydrolyse one or more of the
		following: beta-D-galactosides, alpha-L-
		arabinosides, beta-D-xylosides, and beta-D-
		fucosides
	Chalcone isomerase
	4-coumarate--CoA
	ligase
		Enzyme Comments
Ascorbate and aldarate	D-threo-aldose 1-	Acts on L-fucose, D-arabinose and L-
metabolism	dehydrogenase	xylose The animal enzyme was also
		shown to act on L-arabinose, and the
		enzyme from Pseudomonas caryophylli
		on L-glucose
	L-threonate 3-
	dehydrogenase
	Glucuronate reductase	Also reduces D-galacturonate May be
		identical with EC 1.1.1.2
	Glucuronolactone
	reductase
	L-arabinose 1-
	dehydrogenase
	L-galactonolactone	Acts on the 1,4-lactones of L-galactonic,
	oxidase	D-altronic, L-fuconic, D-arabinic and D-
		threonic acids Not identical with EC
		1.1.3.8 (cf. EC 1.3.2.3)
	L-gulonolactone	The product spontaneously isomerizes to
	oxidase	L-ascorbate
	L-ascorbate oxidase
	L-ascorbate peroxidase
	Ascorbate 2,3-
	dioxygenase
	2,5-dioxovalerate
	dehydrogenase
	Aldehyde	Wide specificity, including oxidation of
	dehydrogenase (NAD+)	D-glucuronolactone to D-glucarate
	Galactonolactone	Cf. EC 1.1.3.24
	dehydrogenase
	Monodehydroascorbate
	reductase (NADH)
	Glutathione
	dehydrogenase
	(ascorbate)
	L-arabinonolactonase
	Gluconolactonase	Acts on a wide range of hexono-1,5-
		lactones
	Uronolactonase
	1,4-lactonase	Specific for 1,4-lactones with 4-8 carbon
		atoms Does not hydrolyse simple
		aliphatic esters, acetylcholine, sugar
		lactones or substituted aliphatic lactones,
		e.g. 3-hydroxy-4-butyrolactone
	2-dehydro-3-
	deoxyglucarate aldolase
	L-arabinonate
	dehydratase
	Glucarate dehydratase
	5-dehydro-4-
	deoxyglucarate
	dehydratase
	Galactarate dehydratase
	2-dehydro-3-deoxy-L-
	arabinonate
	dehydratase
Carbon fixation	Malate dehydrogenase	Also oxidizes some other 2-
		hydroxydicarboxylic acids
	Malate dehydrogenase	Does not decarboxylates added
	(decarboxylating)	oxaloacetate
	Malate dehydrogenase	Also decarboxylates added oxaloacetate
	(oxaloacetate
	decarboxylating)
	(NADP+)
	Malate dehydrogenase	Activated by light
	(NADP+)
	Glyceraldehyde-3-
	phosphate
	dehydrogenase
	(NADP+)
	(phosphorylating)
	Transketolase	Wide specificity for both reactants, e.g.
		converts hydroxypyruvate and R—CHO
		into CO(2) and R—CHOH—CO—CH(2)OH
		Transketolase from Alcaligenes faecalis
		shows high activity with D-erythrose as
		acceptor
	Aspartate	Also acts on L-tyrosine, L-phenylalanine
	aminotransferase	and L-tryptophan. This activity can be
		formed from EC 2.6.1.57 by controlled
		proteolysis
	Alanine	2-aminobutanoate acts slowly instead of
	aminotransferase	alanine
	Sedoheptulokinase
	Phosphoribulokinase
	Pyruvate kinase	UTP, GTP, CTP, ITP and dATP can also
		act as donors Also phosphorylates
		hydroxylamine and fluoride in the
		presence of CO(2)
	Phosphoglycerate
	kinase
	Pyruvate, phosphate
	dikinase
	Fructose-	The animal enzyme also acts on
	bisphosphatase	sedoheptulose 1,7-bisphosphate
	Sedoheptulose-
	bisphosphatase
	Phosphoenolpyruvate
	carboxylase
	Ribulose-bisphosphate	Will utilize O(2) instead of CO(2),
	carboxylase	forming 3-phospho-D-glycerate and 2-
		phosphoglycolate
	Phosphoenolpyruvate
	carboxykinase (ATP)
	Fructose-bisphosphate	Also acts on (3S,4R)-ketose 1-phosphates
	aldolase	The yeast and bacterial enzymes are zinc
		proteins The enzymes increase electron-
		attraction by the carbonyl group, some
		(Class I) forming a protonated imine with
		it, others (Class II), mainly of microbial
		origin, polarizing it with a metal ion, e.g
		zinc
	Phosphoketolase
	Ribulose-phosphate 3-	Also converts D-erythrose 4-phosphate
	epimerase	into D-erythrulose 4-phosphate and D-
		threose 4-phosphate
	Triosephosphate
	isomerase
	Ribose 5-phosphate	Also acts on D-ribose 5-diphosphate and
	epimerase	D-ribose 5-triphosphate
Phenylalanine	(R)-4-	Also acts, more slowly, on (R)-3-
metabolism	hydroxyphenyllactate	phenyllactate, (R)-3-(indole-3-yl)lactate
	dehydrogenase	and (R)-lactate
	Hydroxyphenyl-	Also acts on 3-(3,4-
	pyruvate reductase	dihydroxyphenyl)lactate Involved with
		EC 2.3.1.140 in the biosynthesis of
		rosmarinic acid
	Aryl-alcohol	A group of enzymes with broad
	dehydrogenase	specificity towards primary alcohols with
		an aromatic or cyclohex-1-ene ring, but
		with low or no activity towards short-
		chain aliphatic alcohols
	Peroxidase
	Catechol 1,2-	Involved in the metabolism of nitro-
	dioxygenase	aromatic compounds by a strain of
		Pseudomonas putida
	2,3-dihydroxybenzoate
	3,4-dioxygenase
	3-carboxyethylcatechol
	2,3-dioxygenase
	Catechol 2,3-	The enzyme from Alcaligines sp. strain
	dioxygenase	O-1 has also been shown to catalyse the
		reaction: 3-Sulfocatechol + O(2) + H(2)O =
		2-hydroxymuconate + bisulfite. It has
		been referred to as 3-sulfocatechol 2,3-
		dioxygenase. Further work will be
		necessary to show whether or not this is a
		distinct enzyme
	4-
	hydroxyphenylpyruvate
	dioxygenase
	Protocatechuate 3,4-
	dioxygenase
	Hydroxyquinol 1,2-	The product isomerizes to 2-
	dioxygenase	maleylacetate (cis-hex-2-enedioate)
		Highly specific; catechol and pyrogallol
		are acted on at less than 1% of the rate at
		which benzene-1,2,4-triol is oxidized
	Protocatechuate 4,5-
	dioxygenase
	Phenylalanine 2-	Also catalyses a reaction similar to that
	monooxygenase	of EC 1.4.3.2, forming 3-phenylpyruvate,
		NH(3) and H(2)O(2), but more slowly
	Anthranilate 1,2-
	dioxygenase
	(deaminating,
	decarboxylating)
	Benzoate 1,2-	A system, containing a reductase which
	dioxygenase	is an iron-sulfur flavoprotein (FAD), and
		an iron-sulfur oxygenase
	Toluene dioxygenase	A system, containing a reductase which
		is an iron-sulfur flavoprotein (FAD), an
		iron-sulfur oxygenase, and a ferredoxin
		Some other aromatic compounds,
		including ethylbenzene, 4-xylene and
		some halogenated toluenes, are converted
		into the corresponding cis-dihydrodiols
	Naphthalene 1,2-	A system, containing a reductase which
	dioxygenase	is an iron-sulfur flavoprotein (FAD), an
		iron-sulfur oxygenase, and ferredoxin
	Benzene 1,2-	A system, containing a reductase which
	dioxygenase	is an iron-sulfur flavoprotein, an iron-
		sulfur oxygenase and ferredoxin
	Salicylate 1-
	monooxygenase
	Trans-cinnamate 4-	Also acts on NADH, more slowly
	monooxygenase
	Benzoate 4-
	monooxygenase
	4-hydroxybenzoate 3-	Most enzymes from Pseudomonas are
	monooxygenase	highly specific for NAD(P)H (cf EC
		1.14.13.33)
	3-hydroxybenzoate 4-	Also acts on a number of analogs of 3-
	monooxygenase	hydroxybenzoate substituted in the 2, 4, 5
		and 6 positions
	3-hydroxybenzoate 6-	Also acts on a number of analogs of 3-
	monooxygenase	hydroxybenzoate substituted in the 2, 4, 5
		and 6 positions NADPH can act instead
		of NADH, more slowly
	4-hydroxybenzoate 3-	The enzyme from Corynebacterium
	monooxygenase	cyclohexanicum is highly specific for 4-
	(NAD(P)H)	hydroxybenzoate, but uses NADH and
		NADPH at approximately equal rates (cf.
		EC 1.14.13.2). It is less specific for
		NADPH than EC 1.14.13.2
	Anthranilate 3-	The enzyme from Aspergillus niger is an
	monooxygenase	iron protein; that from the yeast.
	(deaminating)	Trichosporon cutaneum is a flavoprotein
		(FAD)
	Melilotate 3-
	monooxygenase
	Phenol 2-	Also active with resorcinol and O-cresol
	monooxygenase
	Mandelate 4-
	monooxygenase
	3-hydroxybenzoate 2-
	monooxygenase
	4-cresol dehydrogenase	Phenazine methosulfate can act as
	(hydroxylating)	acceptor A quinone methide is probably
		formed as intermediate The product is
		oxidized further to 4-hydroxybenzoate
	Benzaldehyde
	dehydrogenase (NAD+)
	Aminomuconate-	Also acts on 2-hydroxymuconate
	semialdehyde	semialdehyde
	dehydrogenase
	Phenylacetaldehyde
	dehydrogenase
	4-carboxy-2-	Does not act on unsubstituted aliphatic or
	hydroxymuconate-6-	aromatic aldehydes or glucose NAD(+)
	semialdehyde	can replace NADP(+), but with lower
	dehydrogenase	affinity
	Aldehyde
	dehydrogenase
	(NAD(P)+)
	Benzaldehyde
	dehydrogenase
	(NADP+)
	Coumarate reductase
	Cis-1,2-
	dihydrobenzene-1,2-
	diol dehydrogenase
	Cis-1,2-dihydro-1,2-	Also acts, at half the rate, on cis-
	dihydroxynaphthalene	anthracene dihydrodiol and cis-
	dehydrogenase	phenanthrene dihydrodiol
	2-enoate reductase	Acts, in the reverse direction, on a wide
		range of alkyl and aryl alpha,beta-
		unsaturated carboxylate ions 2-butenoate
		was the best substrate tested
	Maleylacetate reductase
	Phenylalanine	The enzyme from Bacillus badius and
	dehydrogenase	Sporosarcina ureae are highly specific for
		L-phenylalanine, that from Bacillus
		sphaericus also acts on L-tyrosine
	L-amino acid oxidase
	Amine oxidase (flavin-	Acts on primary amines, and usually also
	containing)	on secondary and tertiary amines
	Amine oxidase (copper-	A group of enzymes including those
	containing)	oxidizing primary amines, diamines and
		histamine One form of EC 1.3.1.15 from
		rat kidney also catalyses this reaction
	D-amino-acid	Acts to some extent on all D-amino acids
	dehydrogenase	except D-aspartate and D-glutamate
	Aralkylamine	Phenazine methosulfate can act as
	dehydrogenase	acceptor Acts on aromatic amines and,
		more slowly, on some long-chain
		aliphatic amines, but not on methylamine
		or ethylamine (cf EC 1.4.99.3)
	Glutamine N-
	phenylacetyltransferase
	Acetyl-CoA C-
	acyltransferase
	D-amino-acid N-
	acetyltransferase
	Phenylalanine N-	Also acts, more slowly, on L-histidine
	acetyltransferase	and L-alanine
	Glycine N-	Not identical with EC 2.3.1.13 or EC
	benzoyltransferase	2.3.1.68
	Aspartate	Also acts on L-tyrosine, L-phenylalanine
	aminotransferase	and L-tryptophan. This activity can be
		formed from EC 2.6.1.57 by controlled
		proteolysis
	D-alanine	Acts on the D-isomers of leucine,
	aminotransferase	aspartate, glutamate, aminobutyrate,
		norvaline and asparagine
	Tyrosine	L-phenylalanine can act instead of L-
	aminotransferase	tyrosine The mitochondrial enzyme may
		be identical with EC 2.6.1.1 The three
		isoenzymic forms are interconverted by
		EC 3.4.22.4
	Aromatic amino acid	L-methionine can also act as donor, more
	transferase	slowly Oxaloacetate can act as acceptor
		Controlled proteolysis converts the
		enzyme to EC 2.6.1.1
	Histidinol-phosphate
	aminotransferase
	3-oxoadipate CoA-
	transferase
	3-oxoadipate enol-	Acts on the product of EC 4.1.1.44
	lactonase
	Carboxymethylene-
	butenolidase
	2-pyrone-4,6-	The product isomerizes to 4-
	dicarboxylate lactonase	oxalmesaconate
	Hippurate hydrolase	Acts on various N-benzoylamino acids
	Amidase
	Acylphosphatase
	2-hydroxymuconate-
	semialdehyde hydrolase
	Aromatic-L-amino-acid	Also acts on L-tryptophan, 5-hydroxy-L-
	decarboxylase	tryptophan and dihydroxy-L-
		phenylalanine (DOPA)
	Phenylpyruvate	Also acts on indole-3-pyruvate
	decarboxylase
	4-carboxymucono-
	lactone decarboxylase
	O-pyrocatechuate
	decarboxylase
	Phenylalanine	Also acts on tyrosine and other aromatic
	decarboxylase	amino acids
	4-hydroxybenzoate
	decarboxylase
	Protocatechuate
	decarboxylase
	Benzoylformate
	decarboxylase
	4-oxalocrotonate	Involved in the meta-cleavage pathway
	decarboxylase	for the degradation of phenols, cresols
		and catechols
	4-hydroxy-4-methyl-2-	Also acts on 4-hydroxy-4-methyl-2-
	oxoglutarate aldolase	oxoadipate and 4-carboxy-4-hydroxy-2-
		oxohexadioate
	2-oxopent-4-enoate	Also acts, more slowly, on cis-2-oxohex-
	hydratase	4-enoate, but not on the trans-isomer
	Phenylalanine	May also act on L-tyrosine
	ammonia-lyase
	Phenylalanine racemase
	(ATP-hydrolysing)
	Mandelate racemase
	Phenylpyruvate	Also acts on other arylpyruvates
	tautomerase
	5-carboxymethyl-2-
	hydroxymuconate
	delta-isomerase
	Muconolactone delta-
	isomerase
	Muconate	Also acts, in the reverse reaction, on 3-
	cycloisomerase	methyl-cis-cis-hexa-dienedioate and,
		very slowly, on cis-trans-hexadienedioate
		Not identical with EC 5.5.1.7 or EC
		5.5.1.11
	3-carboxy-cis,cis-
	muconate
	cycloisomerase
	Carboxy-cis,cis-
	muconate cyclase
	Chloromuconate	Spontaneous elimination of HCl produces
	cycloisomerase	cis-4-carboxymethylenebut-2-en-4-olide
		Also acts in reverse direction on 2-
		chloro-cis,cis-muconate Not identical
		with EC 5.5.1.1 or EC 5.5.1.11
	Phenylacetate--CoA	Phenoxyacetate can replace phenylacetate
	ligase
	Benzoate--CoA ligase	Also acts on 2-, 3- and 4-fluorobenzoate,
		but only very slowly on the
		corresponding chlorobenzoates
	4-hydroxybenzoate--
	CoA ligase
	Phenylacetate--CoA	Also acts, more slowly, on acetate,
	ligase	propanoate and butanoate, but not on
		hydroxy derivatives of phenylacetate and
		related compounds
Phenylalanine, tyrosine	Quinate 5-
and tryptophan biosynthesis	dehydrogenase
	Shikimate 5-
	dehydrogenase
	Quinate dehydrogenase
	(pyrroloquinoline-
	quinone)
	Phenylalanine 4-
	monooxygenase
	Prephenate	This enzyme in the enteric bacteria also
	dehydrogenase	possesses chorismate mutase activity (EC
		5.4.99.5) and converts chorismate into
		prephenate
	Prephenate
	dehydrogenase
	(NADP+)
	Cyclohexadienyl	Also acts on prephenate and D-
	dehydrogenase	prephenyllactate (cf. EC 1.3.1.12)
	2-methyl-branched-	From Ascaris suum The reaction
	chain-enoyl-CoA	proceeds only in the presence of another
	reductase	flavoprotein (ETF = [PRIME]Electron-
		Transferring Flavoprotein[PRIME])
	Phenylalanine	The enzyme from Bacillus badius and
	dehydrogenase	Sporosarcina ureae are highly specific for
		L-phenylalanine, that from Bacillus
		sphaericus also acts on L-tyrosine
	L-amino acid oxidase
	Anthranilate	In some organisms, this enzyme is part of
	phosphoribosyl-	a multifunctional protein together with
	transferase	one or more components of the system
		for biosynthesis of tryptophan (EC
		4.1.1.48, EC 4.1.3.27, EC 4.2.1.20, and
		EC 5.3.1.24)
	3-phosphoshikimate 1-
	carboxyvinyl-
	transferase
	Aspartate	Also acts on L-tyrosine, L-phenylalanine
	aminotransferase	and L-tryptophan. This activity can be
		formed from EC 2.6.1.57 by controlled
		proteolysis
	Tyrosine	L-phenylalanine can act instead of L-
	aminotransferase	tyrosine The mitochondrial enzyme may
		be identical with EC 2.6.1.1 The three
		isoenzymic forms are interconverted by
		EC 3.4.22.4
	Aromatic amino acid	L-methionine can also act as donor, more
	transferase	slowly Oxaloacetate can act as acceptor
		Controlled proteolysis converts the
		enzyme to EC 2.6.1.1
	Histidinol-phosphate
	aminotransferase
	Shikimate kinase
	Indole-3-glycerol-	In some organisms, this enzyme is part of
	phosphate synthase	a multifunctional protein together with
		one or more components of the system
		for biosynthesis of tryptophan (EC
		2.4.2.18, EC 4.1.3.27, EC 4.2.1.20, and
		EC 5.3.1.24)
	2-dehydro-3-
	deoxyphosphoheptonate
	aldolase
	Anthranilate synthase	In some organisms, this enzyme is part of
		a multifunctional protein together with
		one or more components of the system
		for biosynthesis of tryptophan (EC
		2.4.2.18, EC 4.1.1.48, EC 4.2.1.20, and
		EC 5.3.1.24) The native enzyme in the
		complex with uses either glutamine or
		(less efficiently) NH(3). The enzyme
		separated from the complex uses NH(3)
		only
	3-dehydroquinate
	dehydratase
	Phosphopyruvate	Also acts on 3-phospho-D-erythronate
	hydratase
	Tryptophan synthase	Also catalyses the conversion of serine
		and indole into tryptophan and water and
		of indoleglycerol phosphate into indole
		and glyceraldehyde phosphate In some
		organisms, this enzyme is part of a
		multifunctional protein together with one
		or more components of the system for
		biosynthesis of tryptophan (EC 2.4.2.18,
		EC 4.1.1.48, EC 4.1.3.27, and EC
		5.3.1.24)
	Prephenate dehydratase	This enzyme in the enteric bacteria also
		possesses chorismate mutase activity and
		converts chorismate into prephenate
	Carboxycyclohexadienyl	Also acts on prephenate and D-
	dehydratase	prephenyllactate Cf. EC 4.2.1.51
	3-dehydroquinate	The hydrogen atoms on C-7 of the
	synthase	substrate are retained on C-2 of the
		products
	Chorismate synthase	Shikimate is numbered so that the
		double-bond is between C-1 and C-2, but
		some earlier papers numbered in the
		reverse direction
	Phosphoribosylanthranilate	In some organisms, this enzyme is part of
	isomerase	a multifunctional protein together with
		one or more components of the system
		for biosynthesis of tryptophan (EC
		2.4.2.18, EC 4.1.1.48, EC 4.1.3.27, and
		EC 4.2.1.20)
	Chorismate mutase
	Tyrosine--tRNA ligase
	Phenylalanine--tRNA
	ligase
Starch and sucrose	UDP-glucose 6-	Also acts on UDP-2-deoxyglucose
metabolism	dehydrogenase
	Glucoside 3-	The enzyme acts on D-glucose, D-
	dehydrogenase	galactose, D-glucosides and D-
		galactosides, but D-glucosides react more
		rapidly than D-galactosides
	CDP-4-dehydro-6-	Two proteins are involved but no partial
	deoxyglucose reductase	reaction has been observed in the
		presence of either alone
	Phosphorylase	The recommended name should be
		qualified in each instance by adding the
		name of the natural substance, e.g.
		maltodextrin phosphorylase, starch
		phosphorylase, glycogen phosphorylase
	Levansucrase	Some other sugars can act as D-fructosyl
		acceptors
	Glycogen (starch)	The recommended name varies according
	synthase	to the source of the enzyme and the
		nature of its synthetic product Glycogen
		synthase from animal tissues is a
		complex of a catalytic subunit and the
		protein glycogenin The enzyme requires
		glucosylated glycogenin as a primer; this
		is the reaction product of EC 2.4.1.186 A
		similar enzyme utilizes ADP-glucose (Cf.
		EC 2.4.1.21)
	Cellulose synthase	Involved in the synthesis of cellulose A
	(UDP-forming)	similar enzyme utilizes GDP-glucose (Cf.
		EC 2.4.1.29)
	Sucrose synthase
	Sucrose-phosphate
	synthase
	Alpha,alpha-trehalose-	See also EC 2.4.1.36
	phosphate synthase
	(UDP-forming)
	UDP-	Family of enzymes accepting a wide
	glucuronosyltransferase	range of substrates, including phenols,
		alcohols, amines and fatty acids Some of
		the activities catalysed were previously
		listed separately as EC 2.4.1.42, EC
		2.4.1.59, EC 2.4.1.61, EC 2.4.1.76, EC
		2.4.1.77, EC 2.4.1.84, EC 2.4.1.107 and
		EC 2.4.1.108 A temporary nomenclature
		for the various forms whose delineation
		is in a state of flux
	1,4-alpha-glucan	Converts amylose into amylopectin The
	branching enzyme	recommended name requires a
		qualification depending on the product,
		glycogen or amylopectin, e.g. glycogen
		branching enzyme, amylopectin
		branching enzyme. The latter has
		frequently been termed Q-enzyme
	Cellobiose
	phosphorylase
	Starch (bacterial	The recommended name various
	glycogen) synthase	according to the source of the enzyme
		and the nature of its synthetic product,
		e.g. starch synthase, bacterial glycogen
		synthase A similar enzyme utilizes UDP-
		glucose (Cf. EC 2.4.1.11)
	4-alpha-	An enzymic activity of this nature forms
	glucanotransferase	part of the mammalian and Yeast
		glycogen branching system (see EC
		3.2.1.33)
	Cellulose synthase	Involved in the synthesis of cellulose A
	(GDP-forming)	similar enzyme utilizes UDP-glucose (Cf.
		EC 2.4.1.12)
	1,3-beta-glucan
	synthase
	Phenol beta-	Acts on a wide range of phenols
	glucosyltransferase
	Amylosucrase
	Polygalacturonate 4-
	alpha-
	galacturonosyltransferase
	Dextransucrase
	Alpha,alpha-trehalose
	phosphorylase
	Sucrose phosphorylase	In the forward reaction, arsenate may
		replace phosphate In the reverse reaction
		various ketoses and L-arabinose may
		replace D-fructose
	Maltose phosphorylase
	1,4-beta-D-xylan
	synthase
	Hexokinase	D-glucose, D-mannose, D-fructose,
		sorbitol and D-glucosamine can act as
		acceptors ITP and dATP can act as
		donors The liver isoenzyme has
		sometimes been called glucokinase
	Phosphoglucokinase
	Glucose-1,6-	D-glucose 6-phosphate can act as
	bisphosphate synthase	acceptor, forming D-glucose 1,6-
		bisphosphate
	Glucokinase	A group of enzymes found in
		invertebrates and microorganisms highly
		specific for glucose
	Fructokinase
	Glucose-1-phosphate
	phosphodismutase
	Protein-N(PI)-	Comprises a group of related enzymes
	phosphohistidine-sugar	The protein substrate is a phosphocarrier
	phosphotransferase	protein of low molecular mass (9.5 Kd) A
		phosphoenzyme intermediate is formed
		The enzyme translocates the sugar it
		phosphorylates into bacteria Aldohexoses
		and their glycosides and alditols are
		phosphorylated on O-6; fructose and
		sorbose on O-1 Glycerol and
		disaccharides are also substrates
	Glucose-1-phosphate
	adenylyltransferase
	Glucose-1-phosphate
	cytidylyltransferase
	Glucose-1-phosphate	Also acts, more slowly, on D-mannose 1-
	guanylyltransferase	phosphate
	UTP--glucose-1-
	phosphate
	uridylyltransferase
	Pectinesterase
	Trehalose-phosphatase
	Sucrose-phosphatase
	Glucose-6-phosphatase	Wide distribution in animal tissues Also
		catalyses potent transphosphorylations
		from carbamoyl phosphate, hexose
		phosphates, pyrophosphate,
		phosphoenolpyruvate and nucleoside di-
		and triphosphates, to D-glucose, D-
		mannose, 3-methyl-D-glucose, or 2-
		deoxy-D-glucose (cf. EC 2.7.1.62, EC
		2.7.1.79, and EC 3.9.1.1)
	Alpha-amylase	Acts on starch, glycogen and related
		polysaccharides and oligosaccharides in a
		random manner; reducing groups are
		liberated in the alpha-configuration
	Oligo-1,6-glucosidase	Also hydrolyses palatinose The enzyme
		from intestinal mucosa is a single
		polypeptide chain also catalysing the
		reaction of EC 3.2.1.48
	Maltose-6[PRIME]-	Hydrolyses a variety of 6-phospho-D-
	phosphate glucosidase	glucosides, including maltose 6-
		phosphate, alpha[PRIME]alpha-trehalose
		6-phosphate, sucrose 6-phosphate and p-
		nitrophenyl-alpha-D-glucopyranoside 6-
		phosphate (as a chromogenic substrate)
		The enzyme is activated by Fe(II),
		Mn(II), Co(II) and Ni(II). It is rapidly
		inactivated in air
	Polygalacturonase
	Beta-amylase	Acts on starch, glycogen and related
		polysaccharides and oligosaccharides
		producing beta-maltose by an inversion
	Alpha-glucosidase	Group of enzymes whose specificity is
		directed mainly towards the
		exohydrolysis of 1,4-alpha-glucosidic
		linkages, and that hydrolyse
		oligosaccharides rapidly, relative to
		polysaccharides, which are hydrolysed
		relatively slowly, or not at all The
		intestinal enzyme also hydrolyses
		polysaccharides, catalysing the reactions
		of EC 3.2.1.3, and, more slowly,
		hydrolyses 1,6-alpha-D-glucose links
	Beta-glucosidase	Wide specificity for beta-D-glucosides.
		Some examples also hydrolyse one or
		more of the following: beta-D-
		galactosides, alpha-L-arabinosides, beta-
		D-xylosides, and beta-D-fucosides
	Beta-fructofuranosidase	Substrates include sucrose Also catalyses
		fructotransferase reactions
	Alpha,alpha-trehalase
	Glucan 1,4-alpha-	Most forms of the enzyme can rapidly
	glucosidase	hydrolyse 1,6-alpha-D-glucosidic bonds
		when the next bond in sequence is 1,4,
		and some preparations of this enzyme
		hydrolyse 1,6- and 1,3-alpha-D-
		glucosidic bonds in other polysaccharides
		This entry covers all such enzymes acting
		on polysaccharides more rapidly than on
		oligosaccharides EC 3.2.1.20 from
		mammalian intestine can catalyse similar
		reactions
	Beta-glucuronidase
	Amylo-1,6-glucosidase	In mammals and yeast this enzyme is
		linked to a glycosyltransferase similar to
		EC 2.4.1.25; together these two activities
		constitute the glycogen debranching
		system
	Xylan 1,4-beta-	Also hydrolyses xylobiose Some other
	xylosidase	exoglycosidase activities have been
		found associated with this enzyme in
		sheep liver
	Glucan endo-1,3-beta-	Very limited action on mixed-link (1,3-
	D-glucosidase	1,4-)-beta-D-glucans Hydrolyses
		laminarin, paramylon and pachyman
		Different from EC 3.2.1.6
	Cellulase	Will also hydrolyse 1,4-linkages in beta-
		D-glucans also containing 1,3-linkages
	Sucrose alpha-	This enzyme is isolated from intestinal
	glucosidase	mucosa as a single polypeptide chain also
		displaying activity towards isomaltose
		(oligo-1,6-glucosidase, cf. EC 3.2.1.10)
	Cyclomaltodextrinase	Also hydrolyses linear maltodextrin
	Glucan 1,3-beta-	Acts on oligosaccharides but very slowly
	glucosidase	on laminaribiose
	Levanase
	Galacturan 1,4-alpha-
	galacturonidase
	Glucan 1,4-beta-	Acts on 1,4-beta-D-glucans and related
	glucosidase	oligosaccharides Cellobiose is
		hydrolysed, very slowly
	Cellulose 1,4-beta-
	cellobiosidase
	Alpha,alpha-
	phosphotrehalase
	ADP-sugar	Has a distinct specificity from the UDP-
	diphosphatase	sugar pyrophosphatase (EC 3.6.1.45)
	Nucleotide	Substrates include NAD(+), NADP(+),
	pyrophosphatase	FAD, CoA and also ATP and ADP
	UDP-glucuronate
	decarboxylase
	CDP-glucose 4,6-
	dehydratase
	CDP-abequose
	epimerase
	UDP-glucuronate 4-
	epimerase
	Glucose-6-phosphate	Also catalyses the anomerization of D-
	isomerase	glucose 6-phosphate
	Phosphoglucomutase	Maximum activity is only obtained in the
		presence of alpha-D-glucose 1,6-
		bisphosphate. This bisphosphate is an
		intermediate in the reaction, being
		formed by transfer of a phosphate residue
		from the enzyme to the substrate, but the
		dissociation of bisphosphate from the
		enzyme complex is much slower than the
		overall isomerization Also, more slowly,
		catalyses the interconversion of 1-
		phosphate and 6-phosphate isomers of
		many other alpha-D-hexoses, and the
		interconversion of alpha-D-ribose 1-
		phosphate and 5-phosphate
	Beta-
	phosphoglucomutase
	Maltose alpha-D-
	glucosyltransferase
Tryptophan metabolism	Indole-3-lactate
	dehydrogenase
	Indole-3-acetaldehyde
	reductase (NADH)
	Indole-3-acetaldehyde
	reductase (NADPH)
	3-hydroxyacyl-CoA	Also oxidizes S-3-hydroxyacyl-N-
	dehydrogenase	acylthioethanolamine and S-3-
		hydroxyacylhydrolipoate Some enzymes
		act, more slowly, with NADP(+) Broad
		specificity to acyl chain-length (cf. EC
		1.1.1.211)
	O-aminophenol oxidase	Isophenoxazine may be formed by a
		secondary condensation from the initial
		oxidation product
	Catalase	This enzyme can also act as a peroxidase
		(EC 1.11.1.7) for which several organic
		substances, especially ethanol, can act as
		a hydrogen donor A manganese protein
		containing Mn(III) in the resting state,
		which also belongs here, is often called
		pseudocatalase Enzymes from some
		microorganisms, such as Penicillium
		simplicissimum, which exhibit both
		catalase and peroxidase activity, have
		sometimes been referred to as catalase-
		peroxidase
	7,8-
	dihydroxykynurenate
	8,8A-dioxygenase
	Tryptophan 2,3-	Broad specificity towards tryptamine and
	dioxygenase	derivatives including D- and L-
		tryptophan, 5-hydroxytryptophan and
		serotonin
	Indole 2,3-dioxygenase	The enzyme from jasminum is a
		flavoprotein containing copper, and
		forms anthranilate as the final product
		One enzyme from Tecoma stans is also a
		flavoprotein containing copper and uses
		three atoms of oxygen per molecule of
		indole, to form anthranil (3,4-
		benzisoxazole) A second enzyme from
		Tecoma stans, which is not a
		flavoprotein, uses four atoms of oxygen
		and forms anthranilate as the final
		product
	2,3-dihydroxyindole
	2,3-dioxygenase
	Indoleamine-pyrrole	Acts on many substituted and
	2,3-dioxygenase	unsubstituted indoleamines, including
		melatonin Involved in the degradation of
		melatonin
	3-hydroxyanthranilate	The product of the reaction
	3,4-dioxygenase	spontaneously rearrange to quinolinic
		acid (quin)
	Tryptophan 2-
	monooxygenase
	Tryptophan 2[PRIME]-	Acts on a number of indolyl-3-alkane
	dioxygenase	derivatives, oxidizing the 3-side-chain in
		the 2[PRIME]-position. Best substrates
		are L-tryptophan and 5-hydroxy-L-
		tryptophan
	Kynurenine 3-
	monooxygenase
	Unspecific	Acts on a wide range of substrates
	monooxygenase	including many xenobiotics, steroids,
		fatty acids, vitamins and prostaglandins
		Reactions catalysed include
		hydroxylation, epoxidation, N-oxidation,
		sulfooxidation, N-, S- and O-
		dealkylations, desulfation, deamination,
		and reduction of azo, nitro, and N-oxide
		groups
	Anthranilate 3-
	monooxygenase
	Tryptophan 5-	Activated by phosphorylation, catalysed
	monooxygenase	by a CA(2+)-activated protein kinase
	Kynurenine 7,8-
	hydroxylase
	Aldehyde	Wide specificity, including oxidation of
	dehydrogenase (NAD+)	D-glucuronolactone to D-glucarate
	Aminomuconate-	Also acts on 2-hydroxymuconate
	semialdehyde	semialdehyde
	dehydrogenase
	Aldehyde oxidase	Also oxidizes quinoline and pyridine
		derivatives May be identical with EC
		1.1.3.22
	Indole-3-acetaldehyde	Also oxidizes indole-3-aldehyde and
	oxidase	acetaldehyde, more slowly
	Oxoglutarate	Component of the multienzyme 2-
	dehydrogenase	oxoglutarate dehydrogenase complex
	(lipoamide)
	Kynurenate-7,8-
	dihydrodiol
	dehydrogenase
	Glutaryl-CoA
	dehydrogenase
	L-amino acid oxidase
	Amine oxidase (flavin-	Acts on primary amines, and usually also
	containing)	on secondary and tertiary amines
	Amine oxidase (copper-	A group of enzymes including those
	containing)	oxidizing primary amines, diamines and
		histamine One form of EC 1.3.1.15 from
		rat kidney also catalyses this reaction
	Acetylindoxyl oxidase
	Acetylserotonin O-	Some other hydroxyindoles also act as
	methyltransferase	acceptor, more slowly
	Indole-3-pyruvate C-
	methyltransferase
	Amine N-	A wide range of primary, secondary, and
	methyltransferase	tertiary amines can act as acceptors,
		including tryptamine, aniline, nicotine
		and a variety of drugs and other
		xenobiotics
	Aralkylamine N-	Narrow specificity towards
	acetyltransferase	aralkylamines, including serotonin Not
		identical with EC 2.3.1.5
	Acetyl-CoA C-
	acetyltransferase
	Tryptophan	Also acts on 5-hydroxytryptophan and, to
	aminotransferase	a lesser extent on the phenyl amino acids
	Kynurenine--	Also acts on 3-hydroxykynurenine
	oxoglutarate
	aminotransferase
	Thioglucosidase	Has a wide specificity for thioglycosides
	Amidase
	Formamidase	Also acts, more slowly, on acetamide,
		propanamide and butanamide
	Arylformamidase	Also acts on other aromatic
		formylamines
	Nitrilase	Acts on a wide range of aromatic nitriles
		including (indole-3-yl)-acetonitrile and
		also on some aliphatic nitriles, and on the
		corresponding acid amides (cf. EC
		4.2.1.84)
	Kynureninase	Also acts on 3[PRIME]-
		hydroxykynurenine and some other (3-
		arylcarbonyl)-alanines
	Aromatic-L-amino-acid	Also acts on L-tryptophan, 5-hydroxy-L-
	decarboxylase	tryptophan and dihydroxy-L-
		phenylalanine (DOPA)
	Phenylpyruvate	Also acts on indole-3-pyruvate
	decarboxylase
	Aminocarboxymuconate-	The product rearranges non-enzymically
	semialdehyde	to picolinate
	decarboxylase
	Tryptophanase	Also catalyses the synthesis of
		tryptophan from indole and serine Also
		catalyses 2,3-elimination and beta-
		replacement reactions of some indole-
		substituted tryptophan analogs of L-
		cysteine, L-serine and other 3-substituted
		amino acids
	Enoyl-CoA hydratase	Acts in the reverse direction With cis-
		compounds, yields (3R)-3-hydroxyacyl-
		CoA (cf. EC 4.2.1.74)
	Nitrile hydratase	Acts on short-chain aliphatic nitriles,
		converting them into the corresponding
		acid amides Does not act on these amides
		or on aromatic nitriles (cf EC 3.5.5.1)
	Tryptophan--tRNA
	ligase
Tyrosine metabolism	Alcohol dehydrogenase	Acts on primary or secondary alcohols or
		hemiacetals The animal, but not the
		yeast, enzyme acts also on cyclic
		secondary alcohols
	(R)-4-	Also acts, more slowly, on (R)-3-
	hydroxyphenyllactate	phenyllactate, (R)-3-(indole-3-yl)lactate
	dehydrogenase	and (R)-lactate
	Hydroxyphenylpyruvate	Also acts on 3-(3,4-
	reductase	dihydroxyphenyl)lactate Involved with
		EC 2.3.1.140 in the biosynthesis of
		rosmarinic acid
	Aryl-alcohol	A group of enzymes with broad
	dehydrogenase	specificity towards primary alcohols with
		an aromatic or cyclohex-1-ene ring, but
		with low or no activity towards short-
		chain aliphatic alcohols
	Catechol oxidase	Also acts on a variety of substituted
		catechols Many of these enzymes also
		catalyse the reaction listed under EC
		1.14.18.1; this is especially true for the
		classical tyrosinase
	Iodide peroxidase
	3,4-
	dihydroxyphenylacetate
	2,3-dioxygenase
	4-
	hydroxyphenylpyruvate
	dioxygenase
	Stizolobate synthase	The intermediate product undergoes ring
		closure and oxidation, with NAD(P)(+)
		as acceptor, to stizolobic acid
	Stizolobinate synthase	The intermediate product undergoes ring
		closure and oxidation, with NAD(P)(+)
		as acceptor, to stizolobinic acid
	Gentisate 1,2-
	dioxygenase
	Homogentisate 1,2-
	dioxygenase
	4-hydroxyphenylacetate	Also acts on 4-hydroxyhydratropate
	1-monooxygenase	forming 2-methylhomogentisate and on
		4-hydroxyphenoxyacetate forming
		hydroquinone and glycolate
	4-hydroxyphenylacetate
	3-monooxygenase
	Tyrosine N-
	monooxygenase
	Hydroxyphenylacetonitrile
	2-monooxygenase
	Tyrosine 3-	Activated by phosphorylation, catalysed
	monooxygenase	by EC 2.7.1.128
	Dopamine-beta-	Stimulated by fumarate
	monooxygenase
	Monophenol	A group of copper proteins that also
	monooxygenase	catalyse the reaction of EC 1.10.3.1, if
		only 1,2-benzenediols are available as
		substrate
	Succinate-
	semialdehyde
	dehydrogenase
	(NAD(P)+)
	Aryl-aldehyde	Oxidizes a number of aromatic
	dehydrogenase	aldehydes, but not aliphatic aldehydes
	Aldehyde	Wide specificity, including oxidation of
	dehydrogenase (NAD+)	D-glucuronolactone to D-glucarate
	4-carboxy-2-	Does not act on unsubstituted aliphatic or
	hydroxymuconate-6-	aromatic aldehydes or glucose NAD(+)
	semialdehyde	can replace NADP(+), but with lower
	dehydrogenase	affinity
	Aldehyde
	dehydrogenase
	(NAD(P)+)
	4-	With EC 4.2.1.87, brings about the
	hydroxyphenylacetalde	metabolism of octopamine in
	hyde dehydrogenase	Pseudomonas
	Aldehyde oxidase	Also oxidizes quinoline and pyridine
		derivatives May be identical with EC
		1.1.3.22
	L-amino acid oxidase
	Amine oxidase (flavin-	Acts on primary amines, and usually also
	containing)	on secondary and tertiary amines
	Amine oxidase (copper-	A group of enzymes including those
	containing)	oxidizing primary amines, diamines and
		histamine One form of EC 1.3.1.15 from
		rat kidney also catalyses this reaction
	Aralkylamine	Phenazine methosulfate can act as
	dehydrogenase	acceptor Acts on aromatic amines and,
		more slowly, on some long-chain
		aliphatic amines, but not on methylamine
		or ethylamine (cf EC 1.4.99.3)
	Phenol O-	Acts on a wide variety of simple alkyl-,
	methyltransferase	methoxy- and halo-phenols
	Tyramine N-	Has some activity on phenylethylamine
	methyltransferase	analogs
	Phenylethanolamine N-	Acts on various phenylethanolamines;
	methyltransferase	converts noradrenalin into adrenalin
	Catechol O-	The mammalian enzymes act more
	methyltransferase	rapidly on catecholamines such as
		adrenaline or noradrenaline than on
		catechols
	Glutamine N-
	phenylacetyltransferase
	Rosmarinate synthase	Involved with EC 1.1.1.237 in the
		biosynthesis of rosmarinic acid
	Hydroxymandelonitrile	3,4-dihydroxymandelonitrile can also act
	glucosyltransferase	as acceptor
	Aspartate	Also acts on L-tyrosine, L-phenylalanine
	aminotransferase	and L-tryptophan. This activity can be
		formed from EC 2.6.1.57 by controlled
		proteolysis
	Dihydroxyphenylalanine
	aminotransferase
	Tyrosine	L-phenylalanine can act instead of L-
	aminotransferase	tyrosine The mitochondrial enzyme may
		be identical with EC 2.6.1.1 The three
		isoenzymic forms are interconverted by
		EC 3.4.22.4
	Aromatic amino acid	L-methionine can also act as donor, more
	transferase	slowly Oxaloacetate can act as acceptor
		Controlled proteolysis converts the
		enzyme to EC 2.6.1.1
	Histidinol-phosphate
	aminotransferase
	Fumarylacetoacetase	Also acts on other 3,5- and 2,4-dioxo
		acids
	Acylpyruvate hydrolase	Acts on formylpyruvate, 2,4-
		dioxopentanoate, 2,4-dioxohexanoate and
		2,4-dioxoheptanoate
	Tyrosine decarboxylase	The bacterial enzyme also acts on 3-
		hydroxytyrosine and, more slowly, on 3-
		hydroxyphenylalanine
	Aromatic-L-amino-acid	Also acts on L-tryptophan, 5-hydroxy-L-
	decarboxylase	tryptophan and dihydroxy-L-
		phenylalanine (DOPA).
	Gentisate
	decarboxylase
	5-oxopent-3-ene-1,2,5-
	tricarboxylate
	decarboxylase
	Tyrosine phenol-lyase	Also slowly catalyses pyruvate formation
		from D-tyrosine, S-methyl-L-cysteine,
		L-cysteine, L-serine and D-serine
	(S)-norcoclaurine	The reaction makes a 6-membered ring
	synthase	by forming a bond between C-6 of the
		3,4-dihydroxyphenyl group of the
		dopamine and C-1 of the aldehyde in the
		imine formed between the substrates The
		product is the precursor of the
		benzylisoquinoline alkaloids in plants
		Will also catalyse the reaction of 4-(2-
		aminoethyl)benzene-1,2-diol + (3,4-
		dihydroxyphenyl)acetaldehyde to form
		(S)-norlaudanosoline, but this alkaloid
		has not been found to occur in plants
	Dihydroxyphenylalanine
	ammonia-lyase
	Phenylalanine	May also act on L-tyrosine
	ammonia-lyase
	Maleylacetoacetate	Also acts on maleylpyruvate
	isomerase
	Maleylpyruvate
	isomerase
	Phenylpyruvate	Also acts on other arylpyruvates
	tautomerase
	5-carboxymethyl-2-
	hydroxymuconate
	delta-isomerase
	Tyrosine 2,3-
	aminomutase
	Phenylacetate--CoA	Also acts, more slowly, on acetate,
	ligase	propanoate and butanoate, but not on
		hydroxy derivatives of phenylacetate and
		related compounds

VII. Promoters as Sentinels

Useful promoters include those that are capable of facilitating preferential transcription, i.e. tissue-specific or developmentally regulated gene expression and being a component of facile systems to evaluate the metabolic/physiological state of a plant cell, tissue or organ. Many such promoters are included in this application. Operably linking a sequence to these promoters that can act as a reporter and inserting the construct into a plant allows detection of the preferential in plantar transcription. For example, the quantitative state of responses to environmental conditions can be detected by using a plant having a construct that contains a stress-inducible promoter linked to and controlling expression of a sequence encoding GFP. The greater the stress promoter is induced, the greater the levels of fluorescence from GFP will be produced and this provides a measure of the level of stress being expressed by the plant and/or the ability of the plant to respond internally to the stress.

More specifically, using this system the activities of any metabolic pathway (catabolic and anabolic), stress-related pathways as on any plant gene repeated activity can be monitored. In addition, assays can be developed using this sentinel system to select for superior genotypes with greater yield characteristics or to select for plants with altered responses to chemical, herbicide, or plant growth regulators or to identify chemical, herbicides or plant growth regulators by their response on such sentinels.

Specifically, a promoter that is regulated in plants in the desired way, is operably linked to a reporter such as GFP, RFP, etc., and the constructs are introduced into the plant of interest. The behavior of the reporter is monitored using technologies typically specific for that reporter. With GFP, RFP, etc., it could typically be by microscopy of whole plants, organs, tissues or cells under excitation by an appropriate wavelength of UV light.

VIII. How to Make Different Embodiments of the Invention

The invention relates to (I) polynucleotides and methods of use thereof, such as

IA. Probes, Primers and Substrates;

IB. Methods of Detection and Isolation;

• • B.1. Hybridization;
  • B.2. Methods of Mapping;
  • B.3. Southern Blotting;
  • B.4. Isolating cDNA from Related Organisms;
  • B.5. Isolating and/or Identifying Orthologous Genes

IC. Methods of Inhibiting Gene Expression

• • C.1. Antisense
  • C.2. Ribozyme Constructs;
  • C.3. Chimeraplasts;
  • C.4 Co-Suppression;
  • C.5. Transcriptional Silencing
  • C.6. Other Methods to Inhibit Gene Expression

ID. Methods of Functional Analysis;

IE. Promoter Sequences and Their Use;

IF. UTRs and/or Intron Sequences and Their Use; and

IG. Coding Sequences and Their Use.

The invention also relates to (II) polypeptides and proteins and methods of use thereof, such as

IIA. Native Polypeptides and Proteins

• • A.1 Antibodies
  • A.2 In Vitro Applications

IIB. Polypeptide Variants, Fragments and Fusions

• • B.1 Variants
  • B.2 Fragments
  • B.3 Fusions

The invention also includes (III) methods of modulating polypeptide production, such as

IIIA. Suppression

• • A.1 Antisense
  • A.2 Ribozymes
  • A.3 Co-suppression
  • A.4 Insertion of Sequences into the Gene to be Modulated
  • A.5 Promoter Modulation
  • A.6 Expression of Genes containing Dominant-Negative Mutations

IIIB. Enhanced Expression

• • B.1 Insertion of an Exogenous Gene
  • B.2 Promoter Modulation

The invention further concerns (IV) gene constructs and vector construction, such as

IVA. Coding Sequences

IVB. Promoters

IVC. Signal Peptides

The invention still further relates to

V. Transformation Techniques

I. Polynucleotides

Exemplified SDFs of the invention represent fragments of the genome of corn, wheat, rice, soybean or Arabidopsis and/or represent mRNA expressed from that genome. The isolated nucleic acid of the invention also encompasses corresponding fragments of the genome and/or cDNA complement of other organisms as described in detail below.

Polynucleotides of the invention can be isolated from polynucleotide libraries using primers comprising sequences similar to those described, in the attached Reference, Sequences Protein Group, and Protein Group Matrix Tables or complements thereof. See, for example, the methods described in Sambrook et al., supra.

Alternatively, the polynucleotides of the invention can be produced by chemical synthesis. Such synthesis methods are described below.

It is contemplated that the nucleotide sequences presented herein may contain some small percentage of errors. These errors may arise in the normal course of determination of nucleotide sequences. Sequence errors can be corrected by obtaining seeds deposited under the accession numbers cited above, propagating them, isolating genomic DNA or appropriate mRNA from the resulting plants or seeds thereof, amplifying the relevant fragment of the genomic DNA or mRNA using primers having a sequence that flanks the erroneous sequence, and sequencing the amplification product.

I.A. Probes, Primers and Substrates

SDFs of the invention can be applied to substrates for use in array applications such as, but not limited to, assays of global gene expression, for example under varying conditions of development, growth conditions. The arrays can also be used in diagnostic or forensic methods (WO95/35505, U.S. Pat. No. 5,445,943 and U.S. Pat. No. 5,410,270).

Probes and primers of the instant invention will hybridize to a polynucleotide comprising a sequence in or encoded by those in the Reference, Sequence, Protein Group, and Protein Group Matrix tables or fragments or complement thereof. Though many different nucleotide sequences can encode an amino acid sequence, the sequences of the reference and Sequence table or sequences that encode polypeptides or fragments thereof described in Protein Group and Protein Group Matrix tables are generally preferred for encoding polypeptides of the invention. However, the sequence of the probes and/or primers of the instant invention need not be identical to those in the Reference and Sequence tables or the complements thereof. For example, some variation in probe or primer sequence and/or length can allow additional family members to be detected, as well as orthologous genes and more taxonomically distant related sequences. Similarly, probes and/or primers of the invention can include additional nucleotides that serve as a label for detecting the formed duplex or for subsequent cloning purposes.

Probe length will vary depending on the application. For use as primers, probes are 12-40 nucleotides, preferably 18-30 nucleotides long. For use in mapping, probes are preferably 50 to 500 nucleotides, preferably 100-250 nucleotides long. For Southern hybridizations, probes as long as several kilobases can be used as explained below.

The probes and/or primers can be produced by synthetic procedures such as the triester method of Matteucci et al. J. Am. Chem. Soc. 103:3185 (1981); or according to Urdea et al. Proc. Natl. Acad. 80:7461 (1981) or using commercially available automated oligonucleotide synthesizers.

I.B. Methods of Detection and Isolation

The polynucleotides of the invention can be utilized in a number of methods known to those skilled in the art as probes and/or primers to isolate and detect polynucleotides, including, without limitation: Southerns, Northerns, Branched DNA hybridization assays, polymerase chain reaction, and microarray assays, and variations thereof. Specific methods given by way of examples, and discussed below include:

Hybridization

Methods of Mapping

Southern Blotting

Isolating cDNA from Related Organisms

Isolating and/or Identifying Orthologous Genes.

Also, the nucleic acid molecules of the invention can used in other methods, such as high density oligonucleotide hybridizing assays, described, for example, in U.S. Pat. Nos. 6,004,753; 5,945,306; 5,945,287; 5,945,308; 5,919,686; 5,919,661; 5,919,627; 5,874,248; 5,871,973; 5,871,971; and 5,871,930; and PCT Pub. Nos. WO 9946380; WO 9933981; WO 9933870; WO 9931252; WO 9915658; WO 9906572; WO 9858052; WO 9958672; and WO 9810858.

B.1. Hybridization

The isolated SDFs of the Reference and Sequence tables or SDFs encoding polypeptides of the Protein Group and Protein Group Matrix tables or fragments thereof of the present invention can be used as probes and/or primers for detection and/or isolation of related polynucleotide sequences through hybridization. Hybridization of one nucleic acid to another constitutes a physical property that defines the subject SDF of the invention and the identified related sequences. Also, such hybridization imposes structural limitations on the pair. A good general discussion of the factors for determining hybridization conditions is provided by Sambrook et al. (“Molecular Cloning, a Laboratory Manual, 2nd ed., c. 1989 by Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y.; see esp., chapters 11 and 12). Additional considerations and details of the physical chemistry of hybridization are provided by G. H. Keller and M. M. Manak “DNA Probes”, 2^nd Ed. pp. 1-25, c. 1993 by Stockton Press, New York, N.Y.

Depending on the stringency of the conditions under which these probes and/or primers are used, polynucleotides exhibiting a wide range of similarity to those in the Reference and Sequence or encoding polypeptides of the Protein Group and Protein Group Matrix tables or fragments thereof can be detected or isolated. When the practitioner wishes to examine the result of membrane hybridizations under a variety of stringencies, an efficient way to do so is to perform the hybridization under a low stringency condition, then to wash the hybridization membrane under increasingly stringent conditions.

When using SDFs to identify orthologous genes in other species, the practitioner will preferably adjust the amount of target DNA of each species so that, as nearly as is practical, the same number of genome equivalents are present for each species examined. This prevents faint signals from species having large genomes, and thus small numbers of genome equivalents per mass of DNA, from erroneously being interpreted as absence of the corresponding gene in the genome.

The probes and/or primers of the instant invention can also be used to detect or isolate nucleotides that are “identical” to the probes or primers. Two nucleic acid sequences or polypeptides are said to be “identical” if the sequence of nucleotides or amino acid residues, respectively, in the two sequences is the same when aligned for maximum correspondence as described below.

Isolated polynucleotides within the scope of the invention also include allelic variants of the specific sequences presented in the Reference, Sequence, Protein Group, and Protein Group Matrix tables. The probes and/or primers of the invention can also be used to detect and/or isolate polynucleotides exhibiting at least 80% sequence identity with the sequences of the reference, Sequence or encoding polypeptides of the Protein Group and Protein Group Matrix tables or fragments thereof.

With respect to nucleotide sequences, degeneracy of the genetic code provides the possibility to substitute at least one base of the base sequence of a gene with a different base without causing the amino acid sequence of the polypeptide produced from the gene to be changed. Hence, the DNA of the present invention may also have any base sequence that has been changed from a sequence in the Reference, Sequence, Protein Group, and Protein Group Matrix tables by substitution in accordance with degeneracy of genetic code. References describing codon usage include: Carels et al., J. Mol. Evol. 46: 45 (1998) and Fennoy et al., Nucl. Acids Res. 21(23): 5294 (1993).

B.2. Mapping

The isolated SDF DNA of the invention can be used to create various types of genetic and physical maps of the genome of corn, Arabidopsis, soybean, rice, wheat, or other plants. Some SDFs may be absolutely associated with particular phenotypic traits, allowing construction of gross genetic maps. While not all SDFs will immediately be associated with a phenotype, all SDFs can be used as probes for identifying polymorphisms associated with phenotypes of interest. Briefly, one method of mapping involves total DNA isolation from individuals. It is subsequently cleaved with one or more restriction enzymes, separated according to mass, transferred to a solid support, hybridized with SDF DNA and the pattern of fragments compared. Polymorphisms associated with a particular SDF are visualized as differences in the size of fragments produced between individual DNA samples after digestion with a particular restriction enzyme and hybridization with the SDF. After identification of polymorphic SDF sequences, linkage studies can be conducted. By using the individuals showing polymorphisms as parents in crossing programs, F2 progeny recombinants or recombinant inbreds, for example, are then analyzed. The order of DNA polymorphisms along the chromosomes can be determined based on the frequency with which they are inherited together versus independently. The closer two polymorphisms are together in a chromosome the higher the probability that they are inherited together. Integration of the relative positions of all the polymorphisms and associated marker SDFs can produce a genetic map of the species, where the distances between markers reflect the recombination frequencies in that chromosome segment.

The use of recombinant inbred lines for such genetic mapping is described for Arabidopsis by Alonso-Blanco et al. (Methods in Molecular Biology, vol. 82, “Arabidopsis Protocols”, pp. 137-146, J. M. Martinez-Zapater and J. Salinas, eds., c. 1998 by Humana Press, Totowa, N.J.) and for corn by Burr (“Mapping Genes with Recombinant Inbreds”, pp. 249-254. In Freeling, M. and V. Walbot (Ed.), The Maize Handbook, c. 1994 by Springer-Verlag New York, Inc.: New York, N.Y., USA; Berlin Germany; Burr et al. Genetics (1998) 118: 519; Gardiner, J. et al., (1993) Genetics 134: 917). This procedure, however, is not limited to plants and can be used for other organisms (such as yeast) or for individual cells.

The SDFs of the present invention can also be used for simple sequence repeat (SSR) mapping. Rice SSR mapping is described by Morgante et al. (The Plant Journal (1993) 3: 165), Panaud et al. (Genome (1995) 38: 1170); Senior et al. (Crop Science (1996) 36: 1676), Taramino et al. (Genome (1996) 39: 277) and Ahn et al. (Molecular and General Genetics (1993) 241: 483-90). SSR mapping can be achieved using various methods. In one instance, polymorphisms are identified when sequence specific probes contained within an SDF flanking an SSR are made and used in polymerase chain reaction (PCR) assays with template DNA from two or more individuals of interest. Here, a change in the number of tandem repeats between the SSR-flanking sequences produces differently sized fragments (U.S. Pat. No. 5,766,847). Alternatively, polymorphisms can be identified by using the PCR fragment produced from the SSR-flanking sequence specific primer reaction as a probe against Southern blots representing different individuals (U. H. Refseth et al., (1997) Electrophoresis 18: 1519).

Genetic and physical maps of crop species have many uses. For example, these maps can be used to devise positional cloning strategies for isolating novel genes from the mapped crop species. In addition, because the genomes of closely related species are largely syntenic (that is, they display the same ordering of genes within the genome), these maps can be used to isolate novel alleles from relatives of crop species by positional cloning strategies.

The various types of maps discussed above can be used with the SDFs of the invention to identify Quantitative Trait Loci (QTLs). Many important crop traits, such as the solids content of tomatoes, are quantitative traits and result from the combined interactions of several genes. These genes reside at different loci in the genome, oftentimes on different chromosomes, and generally exhibit multiple alleles at each locus. The SDFs of the invention can be used to identify QTLs and isolate specific alleles as described by de Vicente and Tanksley (Genetics 134:585 (1993)). In addition to isolating QTL alleles in present crop species, the SDFs of the invention can also be used to isolate alleles from the corresponding QTL of wild relatives. Transgenic plants having various combinations of QTL alleles can then be created and the effects of the combinations measured. Once a desired allele combination has been identified, crop improvement can be accomplished either through biotechnological means or by directed conventional breeding programs (for review see Tanksley and McCouch, Science 277:1063 (1997)).

In another embodiment, the SDFs can be used to help create physical maps of the genome of corn, Arabidopsis and related species. Where SDFs have been ordered on a genetic map, as described above, they can be used as probes to discover which clones in large libraries of plant DNA fragments in YACs, BACs, etc. contain the same SDF or similar sequences, thereby facilitating the assignment of the large DNA fragments to chromosomal positions. Subsequently, the large BACs, YACs, etc. can be ordered unambiguously by more detailed studies of their sequence composition (e.g. Marra et al. (1997) Genomic Research 7:1072-1084) and by using their end or other sequences to find the identical sequences in other cloned DNA fragments. The overlapping of DNA sequences in this way allows large contigs of plant sequences to be built that, when sufficiently extended, provide a complete physical map of a chromosome. Sometimes the SDFs themselves will provide the means of joining cloned sequences into a contig.

The patent publication WO95/35505 and U.S. Pat. Nos. 5,445,943 and 5,410,270 describe scanning multiple alleles of a plurality of loci using hybridization to arrays of oligonucleotides. These techniques are useful for each of the types of mapping discussed above.

Following the procedures described above and using a plurality of the SDFs of the present invention, any individual can be genotyped. These individual genotypes can be used for the identification of particular cultivars, varieties, lines, ecotypes and genetically modified plants or can serve as tools for subsequent genetic studies involving multiple phenotypic traits.

B.3 Southern Blot Hybridization

The sequences from Reference and Sequence and those encoding polypeptides of Protein Group and Protein Group Matrix tables or fragments thereof can be used as probes for various hybridization techniques. These techniques are useful for detecting target polynucleotides in a sample or for determining whether transgenic plants, seeds or host cells harbor a gene or sequence of interest and thus might be expected to exhibit a particular trait or phenotype.

In addition, the SDFs from the invention can be used to isolate additional members of gene families from the same or different species and/or orthologous genes from the same or different species. This is accomplished by hybridizing an SDF to, for example, a Southern blot containing the appropriate genomic DNA or cDNA. Given the resulting hybridization data, one of ordinary skill in the art could distinguish and isolate the correct DNA fragments by size, restriction sites, sequence and stated hybridization conditions from a gel or from a library.

Identification and isolation of orthologous genes from closely related species and alleles within a species is particularly desirable because of their potential for crop improvement. Many important crop traits, such as the solid content of tomatoes, result from the combined interactions of the products of several genes residing at different loci in the genome. Generally, alleles at each of these loci can make quantitative differences to the trait. By identifying and isolating numerous alleles for each locus from within or different species, transgenic plants with various combinations of alleles can be created and the effects of the combinations measured. Once a more favorable allele combination has been identified, crop improvement can be accomplished either through biotechnological means or by directed conventional breeding programs (Tanksley et al. Science 277:1063 (1997)).

The results from hybridizations of the SDFs of the invention to, for example, Southern blots containing DNA from another species can also be used to generate restriction fragment maps for the corresponding genomic regions. These maps provide additional information about the relative positions of restriction sites within fragments, further distinguishing mapped DNA from the remainder of the genome.

Physical maps can be made by digesting genomic DNA with different combinations of restriction enzymes.

Probes for Southern blotting to distinguish individual restriction fragments can range in size from 15 to 20 nucleotides to several thousand nucleotides. More preferably, the probe is 100 to 1,000 nucleotides long for identifying members of a gene family when it is found that repetitive sequences would complicate the hybridization. For identifying an entire corresponding gene in another species, the probe is more preferably the length of the gene, typically 2,000 to 10,000 nucleotides, but probes 50-1,000 nucleotides long might be used. Some genes, however, might require probes up to 1,500 nucleotides long or overlapping probes constituting the full-length sequence to span their lengths.

Also, while it is preferred that the probe be homogeneous with respect to its sequence, it is not necessary. For example, as described below, a probe representing members of a gene family having diverse sequences can be generated using PCR to amplify genomic DNA or RNA templates using primers derived from SDFs that include sequences that define the gene family.

For identifying corresponding genes in another species, the next most preferable probe is a cDNA spanning the entire coding sequence, which allows all of the mRNA-coding fragment of the gene to be identified. Probes for Southern blotting can easily be generated from SDFs by making primers having the sequence at the ends of the SDF and using corn or Arabidopsis genomic DNA as a template. In instances where the SDF includes sequence conserved among species, primers including the conserved sequence can be used for PCR with genomic DNA from a species of interest to obtain a probe.

Similarly, if the SDF includes a domain of interest, that fragment of the SDF can be used to make primers and, with appropriate template DNA, used to make a probe to identify genes containing the domain. Alternatively, the PCR products can be resolved, for example by gel electrophoresis, and cloned and/or sequenced. Using Southern hybridization, the variants of the domain among members of a gene family, both within and across species, can be examined.

B.4.1 Isolating DNA from Related Organisms

The SDFs of the invention can be used to isolate the corresponding DNA from other organisms. Either cDNA or genomic DNA can be isolated. For isolating genomic DNA, a lambda, cosmid, BAC or YAC, or other large insert genomic library from the plant of interest can be constructed using standard molecular biology techniques as described in detail by Sambrook et al. 1989 (Molecular Cloning: A Laboratory Manual, 2^nd ed. Cold Spring Harbor Laboratory Press, New York) and by Ausubel et al. 1992 (Current Protocols in Molecular Biology, Greene Publishing, New York).

To screen a phage library, for example, recombinant lambda clones are plated out on appropriate bacterial medium using an appropriate E. coli host strain. The resulting plaques are lifted from the plates using nylon or nitrocellulose filters. The plaque lifts are processed through denaturation, neutralization, and washing treatments following the standard protocols outlined by Ausubel et al. (1992). The plaque lifts are hybridized to either radioactively labeled or non-radioactively labeled SDF DNA at room temperature for about 16 hours, usually in the presence of 50% formamide and 5×SSC (sodium chloride and sodium citrate) buffer and blocking reagents. The plaque lifts are then washed at 42° C. with 1% Sodium Dodecyl Sulfate (SDS) and at a particular concentration of SSC. The SSC concentration used is dependent upon the stringency at which hybridization occurred in the initial Southern blot analysis performed. For example, if a fragment hybridized under medium stringency (e.g., Tm−20° C.), then this condition is maintained or preferably adjusted to a less stringent condition (e.g., Tm−30° C.) to wash the plaque lifts. Positive clones show detectable hybridization e.g., by exposure to X-ray films or chromogen formation. The positive clones are then subsequently isolated for purification using the same general protocol outlined above. Once the clone is purified, restriction analysis can be conducted to narrow the region corresponding to the gene of interest. The restriction analysis and succeeding subcloning steps can be done using procedures described by, for example Sambrook et al. (1989) cited above.

The procedures outlined for the lambda library are essentially similar to those used for YAC library screening, except that the YAC clones are harbored in bacterial colonies. The YAC clones are plated out at reasonable density on nitrocellulose or nylon filters supported by appropriate bacterial medium in petri plates. Following the growth of the bacterial clones, the filters are processed through the denaturation, neutralization, and washing steps following the procedures of Ausubel et al. 1992. The same hybridization procedures for lambda library screening are followed.

To isolate cDNA, similar procedures using appropriately modified vectors are employed. For instance, the library can be constructed in a lambda vector appropriate for cloning cDNA such as λgt11. Alternatively, the cDNA library can be made in a plasmid vector. cDNA for cloning can be prepared by any of the methods known in the art, but is preferably prepared as described above. Preferably, a cDNA library will include a high proportion of full-length clones.

B. 5. Isolating and/or Identifying Orthologous Genes

Probes and primers of the invention can be used to identify and/or isolate polynucleotides related to those in the Reference, Sequence, Protein Group, and Protein Group Matrix tables. Related polynucleotides are those that are native to other plant organisms and exhibit either similar sequence or encode polypeptides with similar biological activity. One specific example is an orthologous gene. Orthologous genes have the same functional activity. As such, orthologous genes may be distinguished from homologous genes. The percentage of identity is a function of evolutionary separation and, in closely related species, the percentage of identity can be 98 to 100%. The amino acid sequence of a protein encoded by an orthologous gene can be less than 75% identical, but tends to be at least 75% or at least 80% identical, more preferably at least 90%, most preferably at least 95% identical to the amino acid sequence of the reference protein.

To find orthologous genes, the probes are hybridized to nucleic acids from a species of interest under low stringency conditions, preferably one where sequences containing as much as 40-45% mismatches will be able to hybridize. This condition is established by T_m−40° C. to Tm−48° C. (see below). Blots are then washed under conditions of increasing stringency. It is preferable that the wash stringency be such that sequences that are 85 to 100% identical will hybridize. More preferably, sequences 90 to 100% identical will hybridize and most preferably only sequences greater than 95% identical will hybridize. One of ordinary skill in the art will recognize that, due to degeneracy in the genetic code, amino acid sequences that are identical can be encoded by DNA sequences as little as 67% identical or less. Thus, it is preferable, for example, to make an overlapping series of shorter probes, on the order of 24 to 45 nucleotides, and individually hybridize them to the same arrayed library to avoid the problem of degeneracy introducing large numbers of mismatches.

As evolutionary divergence increases, genome sequences also tend to diverge. Thus, one of skill will recognize that searches for orthologous genes between more divergent species will require the use of lower stringency conditions compared to searches between closely related species. Also, degeneracy of the genetic code is more of a problem for searches in the genome of a species more distant evolutionarily from the species that is the source of the SDF probe sequences.

Therefore the method described in Bouckaert et al., U.S. Ser. No. 60/121,700 Atty. Dkt. No. 2750-117P, Client Dkt. No. 00010.001, filed Feb. 25, 1999, hereby incorporated in its entirety by reference, can be applied to the SDFs of the present invention to isolate related genes from plant species which do not hybridize to the corn Arabidopsis, soybean, rice, wheat, and other plant sequences of the reference, Sequence, Protein Group, and Protein Group Matrix tables.

Identification of the relationship of nucleotide or amino acid sequences among plant species can be done by comparing the nucleotide or amino acid sequences of SDFs of the present application with nucleotide or amino acid sequences of other SDFs such as those present in applications listed in the table below:

The SDFs of the invention can also be used as probes to search for genes that are related to the SDF within a species. Such related genes are typically considered to be members of a gene family. In such a case, the sequence similarity will often be concentrated into one or a few fragments of the sequence. The fragments of similar sequence that define the gene family typically encode a fragment of a protein or RNA that has an enzymatic or structural function. The percentage of identity in the amino acid sequence of the domain that defines the gene family is preferably at least 70%, more preferably 80 to 95%, most preferably 85 to 99%. To search for members of a gene family within a species, a low stringency hybridization is usually performed, but this will depend upon the size, distribution and degree of sequence divergence of domains that define the gene family. SDFs encompassing regulatory regions can be used to identify coordinately expressed genes by using the regulatory region sequence of the SDF as a probe.

In the instances where the SDFs are identified as being expressed from genes that confer a particular phenotype, then the SDFs can also be used as probes to assay plants of different species for those phenotypes.

I.C. Methods to Inhibit Gene Expression

The nucleic acid molecules of the present invention can be used to inhibit gene transcription and/or translation. Example of such methods include, without limitation:

Antisense Constructs;

Ribozyme Constructs;

Chimeraplast Constructs;

Co-Suppression;

Transcriptional Silencing; and

Other Methods of Gene Expression.

C.1 Antisense

In some instances it is desirable to suppress expression of an endogenous or exogenous gene. A well-known instance is the FLAVOR-SAVOR™ tomato, in which the gene encoding ACC synthase is inactivated by an antisense approach, thus delaying softening of the fruit after ripening. See for example, U.S. Pat. No. 5,859,330; U.S. Pat. No. 5,723,766; Oeller, et al, Science, 254:437-439 (1991); and Hamilton et al, Nature, 346:284-287 (1990). Also, timing of flowering can be controlled by suppression of the FLOWERING LOCUS C (FLC); high levels of this transcript are associated with late flowering, while absence of FLC is associated with early flowering (S. D. Michaels et al., Plant Cell 11:949 (1999). Also, the transition of apical meristem from production of leaves with associated shoots to flowering is regulated by TERMINAL FLOWER1, APETALA1 and LEAFY. Thus, when it is desired to induce a transition from shoot production to flowering, it is desirable to suppress TFL1 expression (S. J. Liljegren, Plant Cell 11:1007 (1999)). As another instance, arrested ovule development and female sterility result from suppression of the ethylene forming enzyme but can be reversed by application of ethylene (D. De Martinis et al., Plant Cell 11:1061 (1999)). The ability to manipulate female fertility of plants is useful in increasing fruit production and creating hybrids.

In the case of polynucleotides used to inhibit expression of an endogenous gene, the introduced sequence need not be perfectly identical to a sequence of the target endogenous gene. The introduced polynucleotide sequence will typically be at least substantially identical to the target endogenous sequence.

Some polynucleotide SDFs in the Reference, Sequence, Protein Group, and Protein Group Matrix tables represent sequences that are expressed in corn, wheat, rice, soybean Arabidopsis and/or other plants. Thus the invention includes using these sequences to generate antisense constructs to inhibit translation and/or degradation of transcripts of said SDFs, typically in a plant cell.

To accomplish this, a polynucleotide segment from the desired gene that can hybridize to the mRNA expressed from the desired gene (the “antisense segment”) is operably linked to a promoter such that the antisense strand of RNA will be transcribed when the construct is present in a host cell. A regulated promoter can be used in the construct to control transcription of the antisense segment so that transcription occurs only under desired circumstances.

The antisense segment to be introduced generally will be substantially identical to at least a fragment of the endogenous gene or genes to be repressed. The sequence, however, need not be perfectly identical to inhibit expression. Further, the antisense product may hybridize to the untranslated region instead of or in addition to the coding sequence of the gene. The vectors of the present invention can be designed such that the inhibitory effect applies to other proteins within a family of genes exhibiting homology or substantial homology to the target gene.

For antisense suppression, the introduced antisense segment sequence also need not be full length relative to either the primary transcription product or the fully processed mRNA. Generally, a higher percentage of sequence identity can be used to compensate for the use of a shorter sequence. Furthermore, the introduced sequence need not have the same intron or exon pattern, and homology of non-coding segments may be equally effective. Normally, a sequence of between about 30 or 40 nucleotides and the full length of the transcript can be used, though a sequence of at least about 100 nucleotides is preferred, a sequence of at least about 200 nucleotides is more preferred, and a sequence of at least about 500 nucleotides is especially preferred.

C.2. Ribozymes

It is also contemplated that gene constructs representing ribozymes and based on the SDFs in the Reference and Sequence tables or those encoding polypeptides of the Protein Group and Protein Group Matrix tables and fragment thereof are an object of the invention. Ribozymes can also be used to inhibit expression of genes by suppressing the translation of the mRNA into a polypeptide. It is possible to design ribozymes that specifically pair with virtually any target RNA and cleave the phosphodiester backbone at a specific location, thereby functionally inactivating the target RNA. In carrying out this cleavage, the ribozyme is not itself altered, and is thus capable of recycling and cleaving other molecules, making it a true enzyme. The inclusion of ribozyme sequences within antisense RNAs confers RNA-cleaving activity upon them, thereby increasing the activity of the constructs.

A number of classes of ribozymes have been identified. One class of ribozymes is derived from a number of small circular RNAs, which are capable of self-cleavage and replication in plants. The RNAs replicate either alone (viroid RNAs) or with a helper virus (satellite RNAs). Examples include RNAs from avocado sunblotch viroid and the satellite RNAs from tobacco ringspot virus, lucerne transient streak virus, velvet tobacco mottle virus, solanum nodiflorum mottle virus and subterranean clover mottle virus. The design and use of target RNA-specific ribozymes is described in Haseloff et al. Nature, 334:585 (1988).

Like the antisense constructs above, the ribozyme sequence fragment necessary for pairing need not be identical to the target nucleotides to be cleaved, nor identical to the sequences in the Reference and Sequence tables or those encoding polypeptide of the Protein Group and Protein Group Matrix tables or fragments thereof. Ribozymes may be constructed by combining the ribozyme sequence and some fragment of the target gene which would allow recognition of the target gene mRNA by the resulting ribozyme molecule. Generally, the sequence in the ribozyme capable of binding to the target sequence exhibits a percentage of sequence identity with at least 80%, preferably with at least 85%, more preferably with at least 90% and most preferably with at least 95%, even more preferably, with at least 96%, 97%, 98% or 99% sequence identity to some fragment of a sequence in the Reference, Sequence, Protein Group, and Protein Group Matrix tables or the complement thereof. The ribozyme can be equally effective in inhibiting mRNA translation by cleaving either in the untranslated or coding regions. Generally, a higher percentage of sequence identity can be used to compensate for the use of a shorter sequence. Furthermore, the introduced sequence need not have the same intron or exon pattern, and homology of non-coding segments may be equally effective.

C.3. Chimeraplasts

The SDFs of the invention, such as those described by Reference, Sequence, Protein Group, and Protein Group Matrix tables, can also be used to construct chimeraplasts that can be introduced into a cell to produce at least one specific nucleotide change in a sequence corresponding to the SDF of the invention. A chimeraplast is an oligonucleotide comprising DNA and/or RNA that specifically hybridizes to a target region in a manner which creates a mismatched base-pair. This mismatched base-pair signals the cell's repair enzyme machinery which acts on the mismatched region resulting in the replacement, insertion or deletion of designated nucleotide(s). The altered sequence is then expressed by the cell's normal cellular mechanisms. Chimeraplasts can be designed to repair mutant genes, modify genes, introduce site-specific mutations, and/or act to interrupt or alter normal gene function (U.S. Pat. Nos. 6,010,907 and 6,004,804; and PCT Pub. No. WO99/58723 and WO99/07865).

C.4. Sense Suppression

The SDFs of the reference, Sequence, Protein Group, and Protein Group Matrix tables of the present invention are also useful to modulate gene expression by sense suppression. Sense suppression represents another method of gene suppression by introducing at least one exogenous copy or fragment of the endogenous sequence to be suppressed.

Introduction of expression cassettes in which a nucleic acid is configured in the sense orientation with respect to the promoter into the chromosome of a plant or by a self-replicating virus has been shown to be an effective means by which to induce degradation of mRNAs of target genes. For an example of the use of this method to modulate expression of endogenous genes see, Napoli et al., The Plant Cell 2:279 (1990), and U.S. Pat. Nos. 5,034,323, 5,231,020, and 5,283,184. Inhibition of expression may require some transcription of the introduced sequence.

For sense suppression, the introduced sequence generally will be substantially identical to the endogenous sequence intended to be inactivated. The minimal percentage of sequence identity will typically be greater than about 65%, but a higher percentage of sequence identity might exert a more effective reduction in the level of normal gene products. Sequence identity of more than about 80% is preferred, though about 95% to absolute identity would be most preferred. As with antisense regulation, the effect would likely apply to any other proteins within a similar family of genes exhibiting homology or substantial homology to the suppressing sequence.

C.5. Transcriptional Silencing

The nucleic acid sequences of the invention, including the SDFs of the reference, Sequence, Protein Group, and Protein Group Matrix tables, and fragments thereof, contain sequences that can be inserted into the genome of an organism resulting in transcriptional silencing. Such regulatory sequences need not be operatively linked to coding sequences to modulate transcription of a gene. Specifically, a promoter sequence without any other element of a gene can be introduced into a genome to transcriptionally silence an endogenous gene (see, for example, Vaucheret, H et al. (1998) The Plant Journal 16: 651-659). As another example, triple helices can be formed using oligonucleotides based on sequences from Reference, Sequence, Protein Group, and Protein Group Matrix tables, fragments thereof, and substantially similar sequence thereto. The oligonucleotide can be delivered to the host cell and can bind to the promoter in the genome to form a triple helix and prevent transcription. An oligonucleotide of interest is one that can bind to the promoter and block binding of a transcription factor to the promoter. In such a case, the oligonucleotide can be complementary to the sequences of the promoter that interact with transcription binding factors.

C.6. Other Methods to Inhibit Gene Expression

Yet another means of suppressing gene expression is to insert a polynucleotide into the gene of interest to disrupt transcription or translation of the gene.

Low frequency homologous recombination can be used to target a polynucleotide insert to a gene by flanking the polynucleotide insert with sequences that are substantially similar to the gene to be disrupted. Sequences from Reference, Sequence, Protein Group, and Protein Group Matrix tables, fragments thereof, and substantially similar sequence thereto can be used for homologous recombination.

In addition, random insertion of polynucleotides into a host cell genome can also be used to disrupt the gene of interest. Azpiroz-Leehan et al., Trends in Genetics 13:152 (1997). In this method, screening for clones from a library containing random insertions is preferred to identifying those that have polynucleotides inserted into the gene of interest. Such screening can be performed using probes and/or primers described above based on sequences from Reference, Sequence, Protein Group, and Protein Group Matrix tables, fragments thereof, and substantially similar sequence thereto. The screening can also be performed by selecting clones or R₁ plants having a desired phenotype.

I.D. Methods of Functional Analysis

The constructs described in the methods under I.C. above can be used to determine the function of the polypeptide encoded by the gene that is targeted by the constructs.

Down-regulating the transcription and translation of the targeted gene in the host cell or organisms, such as a plant, may produce phenotypic changes as compared to a wild-type cell or organism. In addition, in vitro assays can be used to determine if any biological activity, such as calcium flux, DNA transcription, nucleotide incorporation, etc., are being modulated by the down-regulation of the targeted gene.

Coordinated regulation of sets of genes, e.g., those contributing to a desired polygenic trait, is sometimes necessary to obtain a desired phenotype. SDFs of the invention representing transcription activation and DNA binding domains can be assembled into hybrid transcriptional activators. These hybrid transcriptional activators can be used with their corresponding DNA elements (i.e., those bound by the DNA-binding SDFs) to effect coordinated expression of desired genes (J. J. Schwarz et al., Mol. Cell. Biol. 12:266 (1992), A. Martinez et al., Mol. Gen. Genet. 261:546 (1999)).

The SDFs of the invention can also be used in the two-hybrid genetic systems to identify networks of protein-protein interactions (L. McAlister-Henn et al., Methods 19:330 (1999), J. C. Hu et al., Methods 20:80 (2000), M. Golovkin et al., J. Biol. Chem. 274:36428 (1999), K. Ichimura et al., Biochem. Biophys. Res. Comm. 253:532 (1998)). The SDFs of the invention can also be used in various expression display methods to identify important protein-DNA interactions (e.g. B. Luo et al., J. Mol. Biol. 266:479 (1997)).

I.E. Promoters

The SDFs of the invention are also useful as structural or regulatory sequences in a construct for modulating the expression of the corresponding gene in a plant or other organism, e.g. a symbiotic bacterium. For example, promoter sequences associated to SDFs of the reference, Sequence, Protein Group, and Protein Group Matrix tables of the present invention can be useful in directing expression of coding sequences either as constitutive promoters or to direct expression in particular cell types, tissues, or organs or in response to environmental stimuli.

With respect to the SDFs of the present invention a promoter is likely to be a relatively small portion of a genomic DNA (gDNA) sequence located in the first 2000 nucleotides upstream from an initial exon identified in a gDNA sequence or initial “ATG” or methionine codon or translational start site in a corresponding cDNA sequence. Such promoters are more likely to be found in the first 1000 nucleotides upstream of an initial ATG or methionine codon or translational start site of a cDNA sequence corresponding to a gDNA sequence. In particular, the promoter is usually located upstream of the transcription start site. The fragments of a particular gDNA sequence that function as elements of a promoter in a plant cell will preferably be found to hybridize to gDNA sequences presented and described in the Reference table at medium or high stringency, relevant to the length of the probe and its base composition.

Promoters are generally modular in nature. Promoters can consist of a basal promoter that functions as a site for assembly of a transcription complex comprising an RNA polymerase, for example RNA polymerase II. A typical transcription complex will include additional factors such as TF_IIB, TF_IID, and TF_IIE. Of these, TF_IID appears to be the only one to bind DNA directly. The promoter might also contain one or more enhancers and/or suppressors that function as binding sites for additional transcription factors that have the function of modulating the level of transcription with respect to tissue specificity and of transcriptional responses to particular environmental or nutritional factors, and the like.

Short DNA sequences representing binding sites for proteins can be separated from each other by intervening sequences of varying length. For example, within a particular functional module, protein binding sites may be constituted by regions of 5 to 60, preferably 10 to 30, more preferably 10 to 20 nucleotides. Within such binding sites, there are typically 2 to 6 nucleotides that specifically contact amino acids of the nucleic acid binding protein. The protein binding sites are usually separated from each other by 10 to several hundred nucleotides, typically by 15 to 150 nucleotides, often by 20 to 50 nucleotides. DNA binding sites in promoter elements often display dyad symmetry in their sequence. Often elements binding several different proteins, and/or a plurality of sites that bind the same protein, will be combined in a region of 50 to 1,000 basepairs.

Elements that have transcription regulatory function can be isolated from their corresponding endogenous gene, or the desired sequence can be synthesized, and recombined in constructs to direct expression of a coding region of a gene in a desired tissue-specific, temporal-specific or other desired manner of inducibility or suppression. When hybridizations are performed to identify or isolate elements of a promoter by hybridization to the long sequences presented in the Reference tables, conditions are adjusted to account for the above-described nature of promoters. For example short probes, constituting the element sought, are preferably used under low temperature and/or high salt conditions. When long probes, which might include several promoter elements are used, low to medium stringency conditions are preferred when hybridizing to promoters across species.

If a nucleotide sequence of an SDF, or part of the SDF, functions as a promoter or fragment of a promoter, then nucleotide substitutions, insertions or deletions that do not substantially affect the binding of relevant DNA binding proteins would be considered equivalent to the exemplified nucleotide sequence. It is envisioned that there are instances where it is desirable to decrease the binding of relevant DNA binding proteins to silence or down-regulate a promoter, or conversely to increase the binding of relevant. DNA binding proteins to enhance or up-regulate a promoter and vice versa. In such instances, polynucleotides representing changes to the nucleotide sequence of the DNA-protein contact region by insertion of additional nucleotides, changes to identity of relevant nucleotides, including use of chemically-modified bases, or deletion of one or more nucleotides are considered encompassed by the present invention. In addition, fragments of the promoter sequences described by Reference tables and variants thereof can be fused with other promoters or fragments to facilitate transcription and/or transcription in specific type of cells or under specific conditions.

Promoter function can be assayed by methods known in the art, preferably by measuring activity of a reporter gene operatively linked to the sequence being tested for promoter function. Examples of reporter genes include those encoding luciferase, green fluorescent protein, GUS, neo, cat and bar.

I.F. UTRs and Junctions

Polynucleotides comprising untranslated (UTR) sequences and intron/exon junctions are also within the scope of the invention. UTR sequences include introns and 5′ or 3′ untranslated regions (5′ UTRs or 3′ UTRs). Fragments of the sequences shown in the Reference and Sequence tables can comprise UTRs and intron/exon junctions.

These fragments of SDFs, especially UTRs, can have regulatory functions related to, for example, translation rate and mRNA stability. Thus, these fragments of SDFs can be isolated for use as elements of gene constructs for regulated production of polynucleotides encoding desired polypeptides.

Introns of genomic DNA segments might also have regulatory functions. Sometimes regulatory elements, especially transcription enhancer or suppressor elements, are found within introns. Also, elements related to stability of heteronuclear RNA and efficiency of splicing and of transport to the cytoplasm for translation can be found in intron elements. Thus, these segments can also find use as elements of expression vectors intended for use to transform plants.

Just as with promoters UTR sequences and intron/exon junctions can vary from those shown in the Reference and Sequence tables. Such changes from those sequences preferably will not affect the regulatory activity of the UTRs or intron/exon junction sequences on expression, transcription, or translation unless selected to do so. However, in some instances, down- or up-regulation of such activity may be desired to modulate traits or phenotypic or in vitro activity.

I.G. Coding Sequences

Isolated polynucleotides of the invention can include coding sequences that encode polypeptides comprising an amino acid sequence encoded by sequences described in the Reference and Sequence tables or an amino acid sequence presented in the Reference, Sequence, Protein Group, and Protein Group Matrix tables.

A nucleotide sequence encodes a polypeptide if a cell (or a cell free in vitro system) expressing that nucleotide sequence produces a polypeptide having the recited amino acid sequence when the nucleotide sequence is transcribed and the primary transcript is subsequently processed and translated by a host cell (or a cell free in vitro system) harboring the nucleic acid. Thus, an isolated nucleic acid that encodes a particular amino acid sequence can be a genomic sequence comprising exons and introns or a cDNA sequence that represents the product of splicing thereof. An isolated nucleic acid encoding an amino acid sequence also encompasses heteronuclear RNA, which contains sequences that are spliced out during expression, and mRNA, which lacks those sequences.

Coding sequences can be constructed using chemical synthesis techniques or by isolating coding sequences or by modifying such synthesized or isolated coding sequences as described above.

In addition to coding sequences encoding the polypeptide sequences of the reference, Sequence, Protein Group, and Protein Group Matrix tables, which are native to corn, Arabidopsis, soybean, rice, wheat, and other plants, the isolated polynucleotides can be polynucleotides that encode variants, fragments, and fusions of those native proteins. Such polypeptides are described below in part II.

In variant polynucleotides generally, the number of substitutions, deletions or insertions is preferably less than 20%, more preferably less than 15%; even more preferably less than 10%, 5%, 3% or 1% of the number of nucleotides comprising a particularly exemplified sequence. It is generally expected that non-degenerate nucleotide sequence changes that result in 1 to 10, more preferably 1 to 5 and most preferably 1 to 3 amino acid insertions, deletions or substitutions will not greatly affect the function of an encoded polypeptide. The most preferred embodiments are those wherein 1 to 20, preferably 1 to 10, most preferably 1 to 5 nucleotides are added to, or deleted from and/or substituted in the sequences specifically disclosed in the Reference and Sequence tables or polynucleotides that encode polypeptides of the Protein Group, and Protein Group Matrix tables or fragments thereof.

Insertions or deletions in polynucleotides intended to be used for encoding a polypeptide preferably preserve the reading frame. This consideration is not so important in instances when the polynucleotide is intended to be used as a hybridization probe.

II. Polypeptides and Proteins

IIA. Native Polypeptides and Proteins

Polypeptides within the scope of the invention include both native proteins as well as variants, fragments, and fusions thereof. Polypeptides of the invention are those encoded by any of the six reading frames of sequences shown in the Reference and Sequence tables, preferably encoded by the three frames reading in the 5′ to 3′ direction of the sequences as shown.

Native polypeptides include the proteins encoded by the sequences shown in the Reference and Sequence tables. Such native polypeptides include those encoded by allelic variants.

Polypeptide and protein variants will exhibit at least 75% sequence identity to those native polypeptides of the Reference and Sequence tables. More preferably, the polypeptide variants will exhibit at least 85% sequence identity; even more preferably, at least 90% sequence identity; more preferably at least 95%, 96%, 97%, 98%, or 99% sequence identity. Fragments of polypeptide or fragments of polypeptides will exhibit similar percentages of sequence identity to the relevant fragments of the native polypeptide. Fusions will exhibit a similar percentage of sequence identity in that fragment of the fusion represented by the variant of the native peptide.

Polypeptide and protein variants of the invention will exhibit at least 75% sequence identity to those motifs or consensus sequences of the Protein Group and Protein Group Matrix tables. More preferably, the polypeptide variants will exhibit at least 85% sequence identity; even more preferably, at least 90% sequence identity; more preferably at least 95%, 96%, 97%, 98%, or 99% sequence identity. Fragments of polypeptide or fragments of polypeptides will exhibit similar percentages of sequence identity to the relevant fragments of the native polypeptide that are indicated in the Protein Group table. Fusions will exhibit a similar percentage of sequence identity in that fragment of the fusion represented by the variant of the native peptide.

Furthermore, polypeptide variants will exhibit at least one of the functional properties of the native protein. Such properties include, without limitation, protein interaction, DNA interaction, biological activity, immunological activity, receptor binding, signal transduction, transcription activity, growth factor activity, secondary structure, three-dimensional structure, etc. As to properties related to in vitro or in vivo activities, the variants preferably exhibit at least 60% of the activity of the native protein; more preferably at least 70%, even more preferably at least 80%, 85%, 90% or 95% of at least one activity of the native protein.

One type of variant of native polypeptides comprises amino acid substitutions, deletions and/or insertions. Conservative substitutions are preferred to maintain the function or activity of the polypeptide.

Within the scope of percentage of sequence identity described above, a polypeptide of the invention may have additional individual amino acids or amino acid sequences inserted into the polypeptide in the middle thereof and/or at the N-terminal and/or C-terminal ends thereof. Likewise, some of the amino acids or amino acid sequences may be deleted from the polypeptide.

A.1 Antibodies

Isolated polypeptides can be utilized to produce antibodies. Polypeptides of the invention can generally be used, for example, as antigens for raising antibodies by known techniques. The resulting antibodies are useful as reagents for determining the distribution of the antigen protein within the tissues of a plant or within a cell of a plant. The antibodies are also useful for examining the production level of proteins in various tissues, for example in a wild-type plant or following genetic manipulation of a plant, by methods such as Western blotting.

Antibodies of the present invention, both polyclonal and monoclonal, may be prepared by conventional methods. In general, the polypeptides of the invention are first used to immunize a suitable animal, such as a mouse, rat, rabbit, or goat. Rabbits and goats are preferred for the preparation of polyclonal sera due to the volume of serum obtainable, and the availability of labeled anti-rabbit and anti-goat antibodies as detection reagents. Immunization is generally performed by mixing or emulsifying the protein in saline, preferably in an adjuvant such as Freund's complete adjuvant, and injecting the mixture or emulsion parenterally (generally subcutaneously or intramuscularly). A dose of 50-200 μg/injection is typically sufficient. Immunization is generally boosted 2-6 weeks later with one or more injections of the protein in saline, preferably using Freund's incomplete adjuvant. One may alternatively generate antibodies by in vitro immunization using methods known in the art, which for the purposes of this invention is considered equivalent to in vivo immunization.

Polyclonal antisera is obtained by bleeding the immunized animal into a glass or plastic container, incubating the blood at 25° C. for one hour, followed by incubating the blood at 4° C. for 2-18 hours. The serum is recovered by centrifugation (e.g., 1,000×g for 10 minutes). About 20-50 ml per bleed may be obtained from rabbits.

Monoclonal antibodies are prepared using the method of Kohler and Milstein, Nature 256: 495 (1975), or modification thereof. Typically, a mouse or rat is immunized as described above. However, rather than bleeding the animal to extract serum, the spleen (and optionally several large lymph nodes) is removed and dissociated into single cells. If desired, the spleen cells can be screened (after removal of nonspecifically adherent cells) by applying a cell suspension to a plate, or well, coated with the protein antigen. B-cells producing membrane-bound immunoglobulin specific for the antigen bind to the plate, and are not rinsed away with the rest of the suspension. Resulting B-cells, or all dissociated spleen cells, are then induced to fuse with myeloma cells to form hybridomas, and are cultured in a selective medium (e.g., hypoxanthine, aminopterin, thymidine medium, “HAT”). The resulting hybridomas are plated by limiting dilution, and are assayed for the production of antibodies which bind specifically to the immunizing antigen (and which do not bind to unrelated antigens). The selected Mab-secreting hybridomas are then cultured either in vitro (e.g., in tissue culture bottles or hollow fiber reactors), or in vivo (as ascites in mice).

Other methods for sustaining antibody-producing B-cell clones, such as by EBV transformation, are known.

If desired, the antibodies (whether polyclonal or monoclonal) may be labeled using conventional techniques. Suitable labels include fluorophores, chromophores, radioactive atoms (particularly ³²P and ¹²⁵I), electron-dense reagents, enzymes, and ligands having specific binding partners. Enzymes are typically detected by their activity. For example, horseradish peroxidase is usually detected by its ability to convert 3,3′,5,5′-tetramethylbenzidine (TNB) to a blue pigment, quantifiable with a spectrophotometer.

A.2 In Vitro Applications of Polypeptides

Some polypeptides of the invention will have enzymatic activities that are useful in vitro. For example, the soybean trypsin inhibitor (Kunitz) family is one of the numerous families of proteinase inhibitors. It comprises plant proteins which have inhibitory activity against serine proteinases from the trypsin and subtilisin families, thiol proteinases and aspartic proteinases. Thus, these peptides find in vitro use in protein purification protocols and perhaps in therapeutic settings requiring topical application of protease inhibitors.

Delta-aminolevulinic acid dehydratase (EC 4.2.1.24) (ALAD) catalyzes the second step in the biosynthesis of heme, the condensation of two molecules of 5-aminolevulinate to form porphobilinogen and is also involved in chlorophyll biosynthesis (Kaczor et al. (1994) Plant Physiol. 1-4: 1411-7; Smith (1988) Biochem. J. 249: 423-8; Schneider (1976) Z. naturforsch. [C] 31: 55-63). Thus, ALAD proteins can be used as catalysts in synthesis of heme derivatives. Enzymes of biosynthetic pathways generally can be used as catalysts for in vitro synthesis of the compounds representing products of the pathway.

Polypeptides encoded by SDFs of the invention can be engineered to provide purification reagents to identify and purify additional polypeptides that bind to them. This allows one to identify proteins that function as multimers or elucidate signal transduction or metabolic pathways. In the case of DNA binding proteins, the polypeptide can be used in a similar manner to identify the DNA determinants of specific binding (S. Pierrou et al., Anal. Biochem. 229:99 (1995), S. Chusacultanachai et al., J. Biol. Chem. 274:23591 (1999), Q. Lin et al., J. Biol. Chem. 272:27274 (1997)).

II.B. Polypeptide Variants, Fragments and Fusions

Generally, variants, fragments, or fusions of the polypeptides encoded by the maximum length sequence (MLS) can exhibit at least one of the activities of the identified domains and/or related polypeptides described in Sections (C) and (D) of The Reference tables corresponding to the MLS of interest.

II.B.(1) Variants

A type of variant of the native polypeptides comprises amino acid substitutions. Conservative substitutions, described above (see II.), are preferred to maintain the function or activity of the polypeptide. Such substitutions include conservation of charge, polarity, hydrophobicity, size, etc. For example, one or more amino acid residues within the sequence can be substituted with another amino acid of similar polarity that acts as a functional equivalent, for example providing a hydrogen bond in an enzymatic catalysis. Substitutes for an amino acid within an exemplified sequence are preferably made among the members of the class to which the amino acid belongs. For example, the nonpolar (hydrophobic) amino acids include alanine, leucine, isoleucine, valine, proline, phenylalanine, tryptophan and methionine. The polar neutral amino acids include glycine, serine, threonine, cysteine, tyrosine, asparagine, and glutamine. The positively charged (basic) amino acids include arginine, lysine and histidine. The negatively charged (acidic) amino acids include aspartic acid and glutamic acid.

Within the scope of percentage of sequence identity described above, a polypeptide of the invention may have additional individual amino acids or amino acid sequences inserted into the polypeptide in the middle thereof and/or at the N-terminal and/or C-terminal ends thereof. Likewise, some of the amino acids or amino acid sequences may be deleted from the polypeptide. Amino acid substitutions may also be made in the sequences; conservative substitutions being preferred.

One preferred class of variants are those that comprise (1) the domain of an encoded polypeptide and/or (2) residues conserved between the encoded polypeptide and related polypeptides. For this class of variants, the encoded polypeptide sequence is changed by insertion, deletion, or substitution at positions flanking the domain and/or conserved residues.

Another class of variants includes those that comprise an encoded polypeptide sequence that is changed in the domain or conserved residues by a conservative substitution.

Yet another class of variants includes those that lack one of the in vitro activities, or structural features of the encoded polypeptides. One example is polypeptides or proteins produced from genes comprising dominant negative mutations. Such a variant may comprise an encoded polypeptide sequence with non-conservative changes in a particular domain or group of conserved residues.

II.A.(2) Fragments

Fragments of particular interest are those that comprise a domain identified for a polypeptide encoded by an MLS of the instant invention and variants thereof. Also, fragments that comprise at least one region of residues conserved between an MLS encoded polypeptide and its related polypeptides are of great interest. Fragments are sometimes useful as polypeptides corresponding to genes comprising dominant negative mutations are.

II.A.(3) Fusions

Of interest are chimeras comprising (1) a fragment of the MLS encoded polypeptide or variants thereof of interest and (2) a fragment of a polypeptide comprising the same domain. For example, an AP2 helix encoded by a MLS of the invention fused to second AP2 helix from ANT protein, which comprises two AP2 helices. The present invention also encompasses fusions of MLS encoded polypeptides, variants, or fragments thereof fused with related proteins or fragments thereof.

Definition of Domains

The polypeptides of the invention may possess identifying domains as shown in The Reference tables. Specific domains within the MLS encoded polypeptides are indicated in The Reference tables. In addition, the domains within the MLS encoded polypeptide can be defined by the region that exhibits at least 70% sequence identity with the consensus sequences listed in the detailed description below of each of the domains.

The majority of the protein domain descriptions given in the protein domain table are obtained from Prosite (available on the internet), and Pfam (also available on the internet). Examples of domain descriptions are listed in the Protein Domain table.

A. Activities of Polypeptides Comprising Signal Peptides

Polypeptides comprising signal peptides are a family of proteins that are typically targeted to (1) a particular organelle or intracellular compartment, (2) interact with a particular molecule or (3) for secretion outside of a host cell. Example of polypeptides comprising signal peptides include, without limitation, secreted proteins, soluble proteins, receptors, proteins retained in the ER, etc.

These proteins comprising signal peptides are useful to modulate ligand-receptor interactions, cell-to-cell communication, signal transduction, intracellular communication, and activities and/or chemical cascades that take part in an organism outside or within of any particular cell.

One class of such proteins are soluble proteins which are transported out of the cell. These proteins can act as ligands that bind to receptor to trigger signal transduction or to permit communication between cells.

Another class is receptor proteins which also comprise a retention domain that lodges the receptor protein in the membrane when the cell transports the receptor to the surface of the cell. Like the soluble ligands, receptors can also modulate signal transduction and communication between cells.

In addition the signal peptide itself can serve as a ligand for some receptors. An example is the interaction of the ER targeting signal peptide with the signal recognition particle (SRP). Here, the SRP binds to the signal peptide, halting translation, and the resulting SRP complex then binds to docking proteins located on the surface of the ER, prompting transfer of the protein into the ER.

A description of signal peptide residue composition is described below in Subsection IV.C.1.

III. Methods of Modulating Polypeptide Production

It is contemplated that polynucleotides of the invention can be incorporated into a host cell or in-vitro system to modulate polypeptide production. For instance, the SDFs prepared as described herein can be used to prepare expression cassettes useful in a number of techniques for suppressing or enhancing expression.

An example are polynucleotides comprising sequences to be transcribed, such as coding sequences, of the present invention can be inserted into nucleic acid constructs to modulate polypeptide production. Typically, such sequences to be transcribed are heterologous to at least one element of the nucleic acid construct to generate a chimeric gene or construct.

Another example of useful polynucleotides are nucleic acid molecules comprising regulatory sequences of the present invention. Chimeric genes or constructs can be generated when the regulatory sequences of the invention linked to heterologous sequences in a vector construct. Within the scope of invention are such chimeric gene and/or constructs.

Also within the scope of the invention are nucleic acid molecules, whereof at least a part or fragment of these DNA molecules are presented in the Reference and Sequence tables or polynucleotide encoding polypeptides of the Protein Group or Protein Group Matrix tables of the present application, and wherein the coding sequence is under the control of its own promoter and/or its own regulatory elements. Such molecules are useful for transforming the genome of a host cell or an organism regenerated from said host cell for modulating polypeptide production.

Additionally, a vector capable of producing the oligonucleotide can be inserted into the host cell to deliver the oligonucleotide.

More detailed description of components to be included in vector constructs are described both above and below.

Whether the chimeric vectors or native nucleic acids are utilized, such polynucleotides can be incorporated into a host cell to modulate polypeptide production. Native genes and/or nucleic acid molecules can be effective when exogenous to the host cell.

Methods of modulating polypeptide expression includes, without limitation:

Suppression methods, such as

• • Antisense
  • Ribozymes
  • Co-suppression
  • Insertion of Sequences into the Gene to be Modulated
  • Regulatory Sequence Modulation.

as well as Methods for Enhancing Production, such as

• • Insertion of Exogenous Sequences; and
  • Regulatory Sequence Modulation.

III.A. Suppression

Expression cassettes of the invention can be used to suppress expression of endogenous genes which comprise the SDF sequence. Inhibiting expression can be useful, for instance, to tailor the ripening characteristics of a fruit (Oeller et al., Science 254:437 (1991)) or to influence seed size (WO98/07842) or to provoke cell ablation (Mariani et al., Nature 357: 384-387 (1992).

As described above, a number of methods can be used to inhibit gene expression in plants, such as antisense, ribozyme, introduction of exogenous genes into a host cell, insertion of a polynucleotide sequence into the coding sequence and/or the promoter of the endogenous gene of interest, and the like.

III.A.1. Antisense

An expression cassette as described above can be transformed into host cell or plant to produce an antisense strand of RNA. For plant cells, antisense RNA inhibits gene expression by preventing the accumulation of mRNA which encodes the enzyme of interest, see, e.g., Sheehy et al., Proc. Nat. Acad. Sci. USA, 85:8805 (1988), and Hiatt et al., U.S. Pat. No. 4,801,340.

III.A.2. Ribozymes

Similarly, ribozyme constructs can be transformed into a plant to cleave mRNA and down-regulate translation.

III.A.3. Co-Suppression

Another method of suppression is by introducing an exogenous copy of the gene to be suppressed. Introduction of expression cassettes in which a nucleic acid is configured in the sense orientation with respect to the promoter has been shown to prevent the accumulation of mRNA. A detailed description of this method is described above.

III.A.4. Insertion of Sequences into the Gene to be Modulated

Yet another means of suppressing gene expression is to insert a polynucleotide into the gene of interest to disrupt transcription or translation of the gene.

Homologous recombination could be used to target a polynucleotide insert to a gene using the Cre-Lox system (A. C. Vergunst et al., Nucleic Acids Res. 26:2729 (1998), A. C. Vergunst et al., Plant Mol. Biol. 38:393 (1998), H. Albert et al., Plant J. 7:649 (1995)).

In addition, random insertion of polynucleotides into a host cell genome can also be used to disrupt the gene of interest. Azpiroz-Leehan et al., Trends in Genetics 13:152 (1997). In this method, screening for clones from a library containing random insertions is preferred for identifying those that have polynucleotides inserted into the gene of interest. Such screening can be performed using probes and/or primers described above based on sequences from the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables, fragments thereof, and substantially similar sequence thereto. The screening can also be performed by selecting clones or any transgenic plants having a desired phenotype.

III.A.5. Regulatory Sequence Modulation

The SDFs described in the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables, and fragments thereof are examples of nucleotides of the invention that contain regulatory sequences that can be used to suppress or inactivate transcription and/or translation from a gene of interest as discussed in I.C.5.

III.A.6. Genes Comprising Dominant-Negative Mutations

When suppression of production of the endogenous, native protein is desired it is often helpful to express a gene comprising a dominant negative mutation. Production of protein variants produced from genes comprising dominant negative mutations is a useful tool for research Genes comprising dominant negative mutations can produce a variant polypeptide which is capable of competing with the native polypeptide, but which does not produce the native result. Consequently, over expression of genes comprising these mutations can titrate out an undesired activity of the native protein. For example, The product from a gene comprising a dominant negative mutation of a receptor can be used to constitutively activate or suppress a signal transduction cascade, allowing examination of the phenotype and thus the trait(s) controlled by that receptor and pathway. Alternatively, the protein arising from the gene comprising a dominant-negative mutation can be an inactive enzyme still capable of binding to the same substrate as the native protein and therefore competes with such native protein.

Products from genes comprising dominant-negative mutations can also act upon the native protein itself to prevent activity. For example, the native protein may be active only as a homo-multimer or as one subunit of a hetero-multimer. Incorporation of an inactive subunit into the multimer with native subunit(s) can inhibit activity.

Thus, gene function can be modulated in host cells of interest by insertion into these cells vector constructs comprising a gene comprising a dominant-negative mutation.

III.B. Enhanced Expression

Enhanced expression of a gene of interest in a host cell can be accomplished by either (1) insertion of an exogenous gene; or (2) promoter modulation.

III.B.1. Insertion of an Exogenous Gene

Insertion of an expression construct encoding an exogenous gene can boost the number of gene copies expressed in a host cell.

Such expression constructs can comprise genes that either encode the native protein that is of interest or that encode a variant that exhibits enhanced activity as compared to the native protein. Such genes encoding proteins of interest can be constructed from the sequences from the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables, fragments thereof, and substantially similar sequence thereto.

Such an exogenous gene can include either a constitutive promoter permitting expression in any cell in a host organism or a promoter that directs transcription only in particular cells or times during a host cell life cycle or in response to environmental stimuli.

III.B.2. Regulatory Sequence Modulation

The SDFs of the Reference and Sequence tables, and fragments thereof, contain regulatory sequences that can be used to enhance expression of a gene of interest. For example, some of these sequences contain useful enhancer elements. In some cases, duplication of enhancer elements or insertion of exogenous enhancer elements will increase expression of a desired gene from a particular promoter. As other examples, all 11 promoters require binding of a regulatory protein to be activated, while some promoters may need a protein that signals a promoter binding protein to expose a polymerase binding site. In either case, over-production of such proteins can be used to enhance expression of a gene of interest by increasing the activation time of the promoter.

Such regulatory proteins are encoded by some of the sequences in the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables, fragments thereof, and substantially similar sequences thereto.

Coding sequences for these proteins can be constructed as described above.

IV. Gene Constructs and Vector Construction

To use isolated SDFs of the present invention or a combination of them or parts and/or mutants and/or fusions of said SDFs in the above techniques, recombinant DNA vectors which comprise said SDFs and are suitable for transformation of cells, such as plant cells, are usually prepared. The SDF construct can be made using standard recombinant DNA techniques (Sambrook et al. 1989) and can be introduced to the species of interest by Agrobacterium-mediated transformation or by other means of transformation (e.g., particle gun bombardment) as referenced below.

The vector backbone can be any of those typical in the art such as plasmids, viruses, artificial chromosomes, BACs, YACs and PACs and vectors of the sort described by

(a) BAC: Shizuya et al., Proc. Natl. Acad. Sci. USA 89: 8794-8797 (1992); Hamilton et al., Proc. Natl. Acad. Sci. USA 93: 9975-9979 (1996);

(b) YAC: Burke et al., Science 236:806-812 (1987);

(c) PAC: Sternberg N. et al., Proc Natl Acad Sci USA. January; 87(1):103-7 (1990);

(d) Bacteria-Yeast Shuttle Vectors: Bradshaw et al., Nucl Acids Res 23: 4850-4856 (1995);

(e) Lambda Phage Vectors: Replacement Vector, e.g., Frischauf et al., J. Mol Biol 170: 827-842 (1983); or Insertion vector, e.g., Huynh et al., In: Glover N M (ed) DNA Cloning: A practical Approach, Vol. 1 Oxford: IRL Press (1985);

(f) T-DNA gene fusion vectors: Walden et al., Mol Cell Biol 1: 175-194 (1990); and

(g) Plasmid vectors: Sambrook et al., infra.

Typically, a vector will comprise the exogenous gene, which in its turn comprises an SDF of the present invention to be introduced into the genome of a host cell, and which gene may be an antisense construct, a ribozyme construct chimeraplast, or a coding sequence with any desired transcriptional and/or translational regulatory sequences, such as promoters, UTRs, and 3′ end termination sequences. Vectors of the invention can also include origins of replication, scaffold attachment regions (SARs), markers, homologous sequences, introns, etc.

A DNA sequence coding for the desired polypeptide, for example a cDNA sequence encoding a full length protein, will preferably be combined with transcriptional and translational initiation regulatory sequences which will direct the transcription of the sequence from the gene in the intended tissues of the transformed plant.

For example, for over-expression, a plant promoter fragment may be employed that will direct transcription of the gene in all tissues of a regenerated plant. Alternatively, the plant promoter may direct transcription of an SDF of the invention in a specific tissue (tissue-specific promoters) or may be otherwise under more precise environmental control (inducible promoters).

If proper polypeptide production is desired, a polyadenylation region at the 3′-end of the coding region is typically included. The polyadenylation region can be derived from the natural gene, from a variety of other plant genes, or from T-DNA.

The vector comprising the sequences from genes or SDF or the invention may comprise a marker gene that confers a selectable phenotype on plant cells. The vector can include promoter and coding sequence, for instance. For example, the marker may encode biocide resistance, particularly antibiotic resistance, such as resistance to kanamycin, G418, bleomycin, hygromycin, or herbicide resistance, such as resistance to chlorosulfuron or phosphinotricin.

IV.A. Coding Sequences

Generally, the sequence in the transformation vector and to be introduced into the genome of the host cell does not need to be absolutely identical to an SDF of the present invention. Also, it is not necessary for it to be full length, relative to either the primary transcription product or fully processed mRNA. Furthermore, the introduced sequence need not have the same intron or exon pattern as a native gene. Also, heterologous non-coding segments can be incorporated into the coding sequence without changing the desired amino acid sequence of the polypeptide to be produced.

IV.B. Promoters

As explained above, introducing an exogenous SDF from the same species or an orthologous SDF from another species are useful to modulate the expression of a native gene corresponding to that SDF of interest. Such an SDF construct can be under the control of either a constitutive promoter or a highly regulated inducible promoter (e.g., a copper inducible promoter). The promoter of interest can initially be either endogenous or heterologous to the species in question. When re-introduced into the genome of said species, such promoter becomes exogenous to said species. Over-expression of an SDF transgene can lead to co-suppression of the homologous endogeneous sequence thereby creating some alterations in the phenotypes of the transformed species as demonstrated by similar analysis of the chalcone synthase gene (Napoli et al., Plant Cell 2:279 (1990) and van der Krol et al., Plant Cell 2:291 (1990)). If an SDF is found to encode a protein with desirable characteristics, its over-production can be controlled so that its accumulation can be manipulated in an organ- or tissue-specific manner utilizing a promoter having such specificity.

Likewise, if the promoter of an SDF (or an SDF that includes a promoter) is found to be tissue-specific or developmentally regulated, such a promoter can be utilized to drive or facilitate the transcription of a specific gene of interest (e.g., seed storage protein or root-specific protein). Thus, the level of accumulation of a particular protein can be manipulated or its spatial localization in an organ- or tissue-specific manner can be altered.

IV.C Signal Peptides

SDFs of the present invention containing signal peptides are indicated in the Reference, Sequence, the Protein Group and Protein Group Matrix tables. In some cases it may be desirable for the protein encoded by an introduced exogenous or orthologous SDF to be targeted (1) to a particular organelle intracellular compartment, (2) to interact with a particular molecule such as a membrane molecule or (3) for secretion outside of the cell harboring the introduced SDF. This will be accomplished using a signal peptide.

Signal peptides direct protein targeting, are involved in ligand-receptor interactions and act in cell to cell communication. Many proteins, especially soluble proteins, contain a signal peptide that targets the protein to one of several different intracellular compartments. In plants, these compartments include, but are not limited to, the endoplasmic reticulum (ER), mitochondria, plastids (such as chloroplasts), the vacuole, the Golgi apparatus, protein storage vessicles (PSV) and, in general, membranes. Some signal peptide sequences are conserved, such as the Asn-Pro-Ile-Arg amino acid motif found in the N-terminal propeptide signal that targets proteins to the vacuole (Marty (1999) The Plant Cell 11: 587-599). Other signal peptides do not have a consensus sequence per se, but are largely composed of hydrophobic amino acids, such as those signal peptides targeting proteins to the ER (Vitale and Denecke (1999) The Plant Cell 11: 615-628). Still others do not appear to contain either a consensus sequence or an identified common secondary sequence, for instance the chloroplast stromal targeting signal peptides (Keegstra and Cline (1999) The Plant Cell 11: 557-570). Furthermore, some targeting peptides are bipartite, directing proteins first to an organelle and then to a membrane within the organelle (e.g. within the thylakoid lumen of the chloroplast; see Keegstra and Cline (1999) The Plant Cell 11: 557-570). In addition to the diversity in sequence and secondary structure, placement of the signal peptide is also varied. Proteins destined for the vacuole, for example, have targeting signal peptides found at the N-terminus, at the C-terminus and at a surface location in mature, folded proteins. Signal peptides also serve as ligands for some receptors.

These characteristics of signal proteins can be used to more tightly control the phenotypic expression of introduced SDFs. In particular, associating the appropriate signal sequence with a specific SDF can allow sequestering of the protein in specific organelles (plastids, as an example), secretion outside of the cell, targeting interaction with particular receptors, etc. Hence, the inclusion of signal proteins in constructs involving the SDFs of the invention increases the range of manipulation of SDF phenotypic expression. The nucleotide sequence of the signal peptide can be isolated from characterized genes using common molecular biological techniques or can be synthesized in vitro.

In addition, the native signal peptide sequences, both amino acid and nucleotide, described in the Reference, Sequence, Protein Group or Protein Group Matrix tables can be used to modulate polypeptide transport. Further variants of the native signal peptides described in the Reference, Sequence, Protein Group or Protein Group Matrix tables are contemplated. Insertions, deletions, or substitutions can be made. Such variants will retain at least one of the functions of the native signal peptide as well as exhibiting some degree of sequence identity to the native sequence.

Also, fragments of the signal peptides of the invention are useful and can be fused with other signal peptides of interest to modulate transport of a polypeptide.

V. Transformation Techniques

A wide range of techniques for inserting exogenous polynucleotides are known for a number of host cells, including, without limitation, bacterial, yeast, mammalian, insect and plant cells.

Techniques for transforming a wide variety of higher plant species are well known and described in the technical and scientific literature. See, e.g. Weising et al., Ann. Rev. Genet. 22:421 (1988); and Christou, Euphytica, v. 85, n. 1-3:13-27, (1995).

DNA constructs of the invention may be introduced into the genome of the desired plant host by a variety of conventional techniques. For example, the DNA construct may be introduced directly into the genomic DNA of the plant cell using techniques such as electroporation and microinjection of plant cell protoplasts, or the DNA constructs can be introduced directly to plant tissue using ballistic methods, such as DNA particle bombardment. Alternatively, the DNA constructs may be combined with suitable T-DNA flanking regions and introduced into a conventional Agrobacterium tumefaciens host vector. The virulence functions of the Agrobacterium tumefaciens host will direct the insertion of the construct and adjacent marker into the plant cell DNA when the cell is infected by the bacteria (McCormac et al., Mol. Biotechnol. 8:199 (1997); Hamilton, Gene 200:107 (1997)); Salomon et al. EMBO J. 3:141 (1984); Herrera-Estrella et al. EMBO J. 2:987 (1983).

Microinjection techniques are known in the art and well described in the scientific and patent literature. The introduction of DNA constructs using polyethylene glycol precipitation is described in Paszkowski et al. EMBO J. 3:2717 (1984). Electroporation techniques are described in Fromm et al. Proc. Natl. Acad. Sci. USA 82:5824 (1985). Ballistic transformation techniques are described in Klein et al. Nature 327:773 (1987). Agrobacterium tumefaciens-mediated transformation techniques, including disarming and use of binary or co-integrate vectors, are well described in the scientific literature. See, for example Hamilton, C M., Gene 200:107 (1997); Müller et al. Mol. Gen. Genet. 207:171 (1987); Komari et al. Plant J. 10:165 (1996); Venkateswarlu et al. Biotechnology 9:1103 (1991) and Gleave, A P., Plant Mol. Biol. 20:1203 (1992); Graves and Goldman, Plant Mol. Biol. 7:34 (1986) and Gould et al., Plant Physiology 95:426 (1991).

Transformed plant cells which are derived by any of the above transformation techniques can be cultured to regenerate a whole plant that possesses the transformed genotype and thus the desired phenotype such as seedlessness. Such regeneration techniques rely on manipulation of certain phytohormones in a tissue culture growth medium, typically relying on a biocide and/or herbicide marker which has been introduced together with the desired nucleotide sequences. Plant regeneration from cultured protoplasts is described in Evans et al., Protoplasts Isolation and Culture in “Handbook of Plant Cell Culture,” pp. 124-176, MacMillan Publishing Company, New York, 1983; and Binding, Regeneration of Plants, Plant Protoplasts, pp. 21-73, CRC Press, Boca Raton, 1988. Regeneration can also be obtained from plant callus, explants, organs, or parts thereof. Such regeneration techniques are described generally in Klee et al. Ann. Rev. of Plant Phys. 38:467 (1987). Regeneration of monocots (rice) is described by Hosoyama et al. (Biosci. Biotechnol. Biochem. 58:1500 (1994)) and by Ghosh et al. (J. Biotechnol. 32:1 (1994)). The nucleic acids of the invention can be used to confer desired traits on essentially any plant.

Thus, the invention has use over a broad range of plants, including species from the genera Anacardium, Arachis, Asparagus, Atropa, Avena, Brassica, Citrus, Citrullus, Capsicum, Carthamus, Cocos, Coffea, Cucumis, Cucurbita, Daucus, Elaeis, Fragaria, Glycine, Gossypium, Helianthus, Heterocallis, Hordeum, Hyoscyamus, Lactuca, Linum, Lolium,Lupinus, Lycopersicon, Malus, Manihot, Majorana, Medicago, Nicotiana, Olea, Oryza, Panieum, Pannesetum, Persea, Phaseolus, Pistachia, Pisum, Pyrus, Prunus, Raphanus, Ricinus, Secale, Senecio, Sinapis, Solanum, Sorghum, Theobromus, Trigonella, Triticum, Vicia, Vitis, Vigna, and, Zea.

One of skill will recognize that after the expression cassette is stably incorporated in transgenic plants and confirmed to be operable, it can be introduced into other plants by sexual crossing. Any of a number of standard breeding techniques can be used, depending upon the species to be crossed.

The particular sequences of SDFs identified are provided in the attached Reference and Sequence tables.

IX. Definitions

The following terms are utilized throughout this application:

Allelic variant: An “allelic variant” is an alternative form of the same SDF, which resides at the same chromosomal locus in the organism. Allelic variations can occur in any portion of the gene sequence, including regulatory regions. Allelic variants can arise by normal genetic variation in a population. Allelic variants can also be produced by genetic engineering methods. An allelic variant can be one that is found in a naturally occurring plant, including a cultivar or ecotype. An allelic variant may or may not give rise to a phenotypic change, and may or may not be expressed. An allele can result in a detectable change in the phenotype of the trait represented by the locus. A phenotypically silent allele can give rise to a product.

Alternatively spliced messages: Within the context of the current invention, “alternatively spliced messages” refers to mature mRNAs originating from a single gene with variations in the number and/or identity of exons, introns and/or intron-exon junctions.

Chimeric: The term “chimeric” is used to describe genes, as defined supra, or contructs wherein at least two of the elements of the gene or construct, such as the promoter and the coding sequence and/or other regulatory sequences and/or filler sequences and/or complements thereof, are heterologous to each other.

Constitutive Promoter: Promoters referred to herein as “constitutive promoters” actively promote transcription under most, but not necessarily all, environmental conditions and states of development or cell differentiation. Examples of constitutive promoters include the cauliflower mosaic virus (CaMV) 35S transcript initiation region and the 1′ or 2′ promoter derived from T-DNA of Agrobacterium tumefaciens, and other transcription initiation regions from various plant genes, such as the maize ubiquitin-1 promoter, known to those of skill.

Coordinately Expressed: The term “coordinately expressed,” as used in the current invention, refers to genes that are expressed at the same or a similar time and/or stage and/or under the same or similar environmental conditions.

Domain: Domains are fingerprints or signatures that can be used to characterize protein families and/or parts of proteins. Such fingerprints or signatures can comprise conserved (1) primary sequence, (2) secondary structure, and/or (3) three-dimensional conformation. Generally, each domain has been associated with either a family of proteins or motifs. Typically, these families and/or motifs have been correlated with specific in-vitro and/or in-vivo activities. A domain can be any length, including the entirety of the sequence of a protein. Detailed descriptions of the domains, associated families and motifs, and correlated activities of the polypeptides of the instant invention are described below. Usually, the polypeptides with designated domain(s) can exhibit at least one activity that is exhibited by any polypeptide that comprises the same domain(s).

Endogenous: The term “endogenous,” within the context of the current invention refers to any polynucleotide, polypeptide or protein sequence which is a natural part of a cell or organisms regenerated from said cell.

Exogenous: “Exogenous,” as referred to within, is any polynucleotide, polypeptide or protein sequence, whether chimeric or not, that is initially or subsequently introduced into the genome of an individual host cell or the organism regenerated from said host cell by any means other than by a sexual cross. Examples of means by which this can be accomplished are described below, and include Agrobacterium-mediated transformation (of dicots—e.g. Salomon et al. EMBO J. 3:141 (1984); Herrera-Estrella et al. EMBO J. 2:987 (1983); of monocots, representative papers are those by Escudero et al., Plant J. 10:355 (1996), Ishida et al., Nature Biotechnology 14:745 (1996), May et al., Bio/Technology 13:486 (1995)), biolistic methods (Armaleo et al., Current Genetics 17:97 1990)), electroporation, in planta techniques, and the like. Such a plant containing the exogenous nucleic acid is referred to here as a T₀ for the primary transgenic plant and T₁ for the first generation. The term “exogenous” as used herein is also intended to encompass inserting a naturally found element into a non-naturally found location.

Filler sequence: As used herein, “filler sequence” refers to any nucleotide sequence that is inserted into DNA construct to evoke a particular spacing between particular components such as a promoter and a coding region and may provide an additional attribute such as a restriction enzyme site.

Gene: The term “gene,” as used in the context of the current invention, encompasses all regulatory and coding sequence contiguously associated with a single hereditary unit with a genetic function (see FIG. 1). Genes can include non-coding sequences that modulate the genetic function that include, but are not limited to, those that specify polyadenylation, transcriptional regulation, DNA conformation, chromatin conformation, extent and position of base methylation and binding sites of proteins that control all of these. Genes comprised of “exons” (coding sequences), which may be interrupted by “introns” (non-coding sequences), encode proteins. A gene's genetic function may require only RNA expression or protein production, or may only require binding of proteins and/or nucleic acids without associated expression. In certain cases, genes adjacent to one another may share sequence in such a way that one gene will overlap the other. A gene can be found within the genome of an organism, artificial chromosome, plasmid, vector, etc., or as a separate isolated entity.

Gene Family: “Gene family” is used in the current invention to describe a group of functionally related genes, each of which encodes a separate protein.

Heterologous sequences: “Heterologous sequences” are those that are not operatively linked or are not contiguous to each other in nature. For example, a promoter from corn is considered heterologous to an Arabidopsis coding region sequence. Also, a promoter from a gene encoding a growth factor from corn is considered heterologous to a sequence encoding the corn receptor for the growth factor. Regulatory element sequences, such as UTRs or 3′ end termination sequences that do not originate in nature from the same gene as the coding sequence originates from, are considered heterologous to said coding sequence. Elements operatively linked in nature and—contiguous to each other are not heterologous to each other. On the other hand, these same elements remain operatively linked but become heterologous if other filler sequence is placed between them. Thus, the promoter and coding sequences of a corn gene expressing an amino acid transporter are not heterologous to each other, but the promoter and coding sequence of a corn gene operatively linked in a novel manner are heterologous.

Homologous gene: In the current invention, “homologous gene” refers to a gene that shares sequence similarity with the gene of interest. This similarity may be in only a fragment of the sequence and often represents a functional domain such as, examples including without limitation a DNA binding domain, a domain with tyrosine kinase activity, or the like. The functional activities of homologous genes are not necessarily the same.

Inducible Promoter: An “inducible promoter” in the context of the current invention refers to a promoter which is regulated under certain conditions, such as light, chemical concentration, protein concentration, conditions in an organism, cell, or organelle, etc. A typical example of an inducible promoter, which can be utilized with the polynucleotides of the present invention, is PARSK1, the promoter from the Arabidopsis gene encoding a serine-threonine kinase enzyme, and which promoter is induced by dehydration, abscissic acid and sodium chloride (Wang and Goodman, Plant J. 8:37 (1995)) Examples of environmental conditions that may affect transcription by inducible promoters include anaerobic conditions, elevated temperature, or the presence of light.

Intergenic region: “Intergenic region,” as used in the current invention, refers to nucleotide sequence occurring in the genome that separates adjacent genes.

Mutant gene: In the current invention, “mutant” refers to a heritable change in DNA sequence at a specific location. Mutants of the current invention may or may not have an associated identifiable function when the mutant gene is transcribed.

Orthologous Gene In the current invention “orthologous gene” refers to a second gene that encodes a gene product that performs a similar function as the product of a first gene. The orthologous gene may also have a degree of sequence similarity to the first gene. The orthologous gene may encode a polypeptide that exhibits a degree of sequence similarity to a polypeptide corresponding to a first gene. The sequence similarity can be found within a functional domain or along the entire length of the coding sequence of the genes and/or their corresponding polypeptides.

Percentage of sequence identity: “Percentage of sequence identity,” as used herein, is determined by comparing two optimally aligned sequences over a comparison window, where the fragment of the polynucleotide or amino acid sequence in the comparison window may comprise additions or deletions (e.g., gaps or overhangs) as compared to the reference sequence (which does not comprise additions or deletions) for optimal alignment of the two sequences. The percentage is calculated by determining the number of positions at which the identical nucleic acid base or amino acid residue occurs in both sequences to yield the number of matched positions, dividing the number of matched positions by the total number of positions in the window of comparison and multiplying the result by 100 to yield the percentage of sequence identity. Optimal alignment of sequences for comparison may be conducted by the local homology algorithm of Smith and Waterman Add. APL. Math. 2:482 (1981), by the homology alignment algorithm of Needleman and Wunsch J. Mol. Biol. 48:443 (1970), by the search for similarity method of Pearson and Lipman Proc. Natl. Acad. Sci. (USA) 85: 2444 (1988), by computerized implementations of these algorithms (GAP, BESTFIT, BLAST, PASTA, and TFASTA in the Wisconsin Genetics Software Package, Genetics Computer Group (GCG), 575 Science Dr., Madison, Wis.), or by inspection. Given that two sequences have been identified for comparison, GAP and BESTFIT are preferably employed to determine their optimal alignment. Typically, the default values of 5.00 for gap weight and 0.30 for gap weight length are used. The term “substantial sequence identity” between polynucleotide or polypeptide sequences refers to polynucleotide or polypeptide comprising a sequence that has at least 80% sequence identity, preferably at least 85%, more preferably at least 90% and most preferably at least 95%, even more preferably, at least 96%, 97%, 98% or 99% sequence identity compared to a reference sequence using the programs.

Plant Promoter: A “plant promoter” is a promoter capable of initiating transcription in plant cells and can drive or facilitate transcription of a fragment of the SDF of the instant invention or a coding sequence of the SDF of the instant invention. Such promoters need not be of plant origin. For example, promoters derived from plant viruses, such as the CaMV35S promoter or from Agrobacterium tumefaciens such as the T-DNA promoters, can be plant promoters. A typical example of a plant promoter of plant origin is the maize ubiquitin-1 (ubi-1) promoter known to those of skill.

Promoter: The term “promoter,” as used herein, refers to a region of sequence determinants located upstream from the start of transcription of a gene and which are involved in recognition and binding of RNA polymerase and other proteins to initiate and modulate transcription. A basal promoter is the minimal sequence necessary for assembly of a transcription complex required for transcription initiation. Basal promoters frequently include a “TATA box” element usually located between 15 and 35 nucleotides upstream from the site of initiation of transcription. Basal promoters also sometimes include a “CCAAT box” element (typically a sequence CCAAT) and/or a GGGCG sequence, usually located between 40 and 200 nucleotides, preferably 60 to 120 nucleotides, upstream from the start site of transcription.

Public sequence: The term “public sequence,” as used in the context of the instant application, refers to any sequence that has been deposited in a publicly accessible database. This term encompasses both amino acid and nucleotide sequences. Such sequences are publicly accessible, for example, on the BLAST databases on the NCBI FTP web site (accessible at ncbi.nlm.gov/blast). The database at the NCBI GTP site utilizes “gi” numbers assigned by NCBI as a unique identifier for each sequence in the databases, thereby providing a non-redundant database for sequence from various databases, including GenBank, EMBL, DBBJ, (DNA Database of Japan) and PDB (Brookhaven Protein Data Bank).

Regulatory Sequence The term “regulatory sequence,” as used in the current invention, refers to any nucleotide sequence that influences transcription or translation initiation and rate, and stability and/or mobility of the transcript or polypeptide product. Regulatory sequences include, but are not limited to, promoters, promoter control elements, protein binding sequences, 5′ and 3′ UTRs, transcriptional start site, termination sequence, polyadenylation sequence, introns, certain sequences within a coding sequence, etc.

Related Sequences: “Related sequences” refer to either a polypeptide or a nucleotide sequence that exhibits some degree of sequence similarity with a sequence described by The Reference tables and The Sequence tables.

Scaffold Attachment Region (SAR): As used herein, “scaffold attachment region” is a DNA sequence that anchors chromatin to the nuclear matrix or scaffold to generate loop domains that can have either a transcriptionally active or inactive structure (Spiker and Thompson (1996) Plant Physiol. 110: 15-21).

Sequence-determined DNA fragments (SDFs): “Sequence-determined DNA fragments” as used in the current invention are isolated sequences of genes, fragments of genes, intergenic regions or contiguous DNA from plant genomic DNA or cDNA or RNA the sequence of which has been determined.

Signal Peptide: A “signal peptide” as used in the current invention is an amino acid sequence that targets the protein for secretion, for transport to an intracellular compartment or organelle or for incorporation into a membrane. Signal peptides are indicated in the tables and a more detailed description located below.

Specific Promoter: In the context of the current invention, “specific promoters” refers to a subset of inducible promoters that have a high preference for being induced in a specific tissue or cell and/or at a specific time during development of an organism. By “high preference” is meant at least 3-fold, preferably 5-fold, more preferably at least 10-fold still more preferably at least 20-fold, 50-fold or 100-fold increase in transcription in the desired tissue over the transcription in any other tissue. Typical examples of temporal and/or tissue specific promoters of plant origin that can be used with the polynucleotides of the present invention, are: PTA29, a promoter which is capable of driving gene transcription specifically in tapetum and only during anther development (Koltonow et al., Plant Cell 2:1201 (1990); RCc2 and RCc3, promoters that direct root-specific gene transcription in rice (Xu et al., Plant Mol. Biol. 27:237 (1995); TobRB27, a root-specific promoter from tobacco (Yamamoto et al., Plant Cell 3:371 (1991)). Examples of tissue-specific promoters under developmental control include promoters that initiate transcription only in certain tissues or organs, such as root, ovule, fruit, seeds, or flowers. Other suitable promoters include those from genes encoding storage proteins or the lipid body membrane protein, oleosin. A few root-specific promoters are noted above.

Stringency: “Stringency” as used herein is a function of probe length, probe composition (G+C content), and salt concentration, organic solvent concentration, and temperature of hybridization or wash conditions. Stringency is typically compared by the parameter T_m, which is the temperature at which 50% of the complementary molecules in the hybridization are hybridized, in terms of a temperature differential from T_m. High stringency conditions are those providing a condition of T_m−5° C. to T_m−10° C. Medium or moderate stringency conditions are those providing T_m−20° C. to T_m−29° C. Low stringency conditions are those providing a condition of T_m−40° C. to T_m−48° C. The relationship of hybridization conditions to T_m (in ° C.) is expressed in the mathematical equation

T _m=81.5−16.6(log₁₀[Na⁺])+0.41(% G+C)−(600/N)  (1)

where N is the length of the probe. This equation works well for probes 14 to 70 nucleotides in length that are identical to the target sequence. The equation below for T_m of DNA-DNA hybrids is useful for probes in the range of 50 to greater than 500 nucleotides, and for conditions that include an organic solvent (formamide).

T _m=81.5+16.6 log {[Na⁺]/(1+0.7[Na⁺])}+0.41(% G+C)−500/L0.63(% formamide)  (2)

where L is the length of the probe in the hybrid. (P. Tijessen, “Hybridization with Nucleic Acid Probes” in Laboratory Techniques in Biochemistry and Molecular Biology, P. C. vand der Vliet, ed., c. 1993 by Elsevier, Amsterdam.) The T_m of equation (2) is affected by the nature of the hybrid; for DNA-RNA hybrids T_m is 10-15° C. higher than calculated, for RNA-RNA hybrids T_m is 20-25° C. higher. Because the T_m decreases about 1° C. for each 1% decrease in homology when a long probe is used (Bonner et al., J. Mol. Biol. 81:123 (1973)), stringency conditions can be adjusted to favor detection of identical genes or related family members.

Equation (2) is derived assuming equilibrium and therefore, hybridizations according to the present invention are most preferably performed under conditions of probe excess and for sufficient time to achieve equilibrium. The time required to reach equilibrium can be shortened by inclusion of a hybridization accelerator such as dextran sulfate or another high volume polymer in the hybridization buffer.

Stringency can be controlled during the hybridization reaction or after hybridization has occurred by altering the salt and temperature conditions of the wash solutions used. The formulas shown above are equally valid when used to compute the stringency of a wash solution. Preferred wash solution stringencies lie within the ranges stated above; high stringency is 5-8° C. below T_m, medium or moderate stringency is 26-29° C. below T_m and low stringency is 45-48° C. below T_m.

Substantially free of: A composition containing A is “substantially free of” B when at least 85% by weight of the total A+B in the composition is A. Preferably, A comprises at least about 90% by weight of the total of A+B in the composition, more preferably at least about 95% or even 99% by weight. For example, a plant gene or DNA sequence can be considered substantially free of other plant genes or DNA sequences.

Translational start site: In the context of the current invention, a “translational start site” is usually an ATG in the cDNA transcript, more usually the first ATG. A single cDNA, however, may have multiple translational start sites.

Transcription start site: “Transcription start site” is used in the current invention to describe the point at which transcription is initiated. This point is typically located about 25 nucleotides downstream from a TFIID binding site, such as a TATA box. Transcription can initiate at one or more sites within the gene, and a single gene may have multiple transcriptional start sites, some of which may be specific for transcription in a particular cell-type or tissue.

Untranslated region (UTR): A “UTR” is any contiguous series of nucleotide bases that is transcribed, but is not translated. These untranslated regions may be associated with particular functions such as increasing mRNA message stability. Examples of UTRs include, but are not limited to polyadenylation signals, terminations sequences, sequences located between the transcriptional start site and the first exon (5′ UTR) and sequences located between the last exon and the end of the mRNA (3′ UTR).

Variant: The term “variant” is used herein to denote a polypeptide or protein or polynucleotide molecule that differs from others of its kind in some way. For example, polypeptide and protein variants can consist of changes in amino acid sequence and/or charge and/or post-translational modifications (such as glycosylation, etc).

X. Examples

The invention is illustrated by way of the following examples. The invention is not limited by these examples as the scope of the invention is defined solely by the claims following.

Example 1

cDNA Preparation

A number of the nucleotide sequences disclosed in the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables, herein as representative of the SDFs of the invention can be obtained by sequencing genomic DNA (gDNA) and/or cDNA from corn plants grown from HYBRID SEED # 35A19, purchased from Pioneer Hi-Bred International, Inc., Supply Management, P.O. Box 256, Johnston, Iowa 50131-0256.

A number of the nucleotide sequences disclosed in the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables, herein as representative of the SDFs of the invention can also be obtained by sequencing genomic DNA from Arabidopsis thaliana, Wassilewskija ecotype or by sequencing cDNA obtained from mRNA from such plants as described below. This is a true breeding strain. Seeds of the plant are available from the Arabidopsis Biological Resource Center at the Ohio State University, under the accession number CS2360. Seeds of this plant were deposited under the terms and conditions of the Budapest Treaty at the American Type Culture Collection, Manassas, Va. on Aug. 31, 1999, and were assigned ATCC No. PTA-595.

Other methods for cloning full-length cDNA are described, for example, by Seki et al., Plant Journal 15:707-720 (1998) “High-efficiency cloning of Arabidopsis full-length cDNA by biotinylated Cap trapper”; Maruyama et al., Gene 138:171 (1994) “Oligo-capping a simple method to replace the cap structure of eukaryotic mRNAs with oligoribonucleotides”; and WO 96/34981.

Tissues were, or each organ was, individually pulverized and frozen in liquid nitrogen. Next, the samples were homogenized in the presence of detergents and then centrifuged. The debris and nuclei were removed from the sample and more detergents were added to the sample. The sample was centrifuged and the debris was removed. Then the sample was applied to a 2M sucrose cushion to isolate polysomes. The RNA was isolated by treatment with detergents and proteinase K followed by ethanol precipitation and centrifugation. The polysomal RNA from the different tissues was pooled according to the following mass ratios: 15/15/1 for male inflorescences, female inflorescences and root, respectively. The pooled material was then used for cDNA synthesis by the methods described below.

Starting material for cDNA synthesis for the exemplary corn cDNA clones with sequences presented in the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables was poly(A)-containing polysomal mRNAs from inflorescences and root tissues of corn plants grown from HYBRID SEED # 35A19. Male inflorescences and female (pre- and post-fertilization) inflorescences were isolated at various stages of development. Selection for poly(A) containing polysomal RNA was done using oligo d(T) cellulose columns, as described by Cox and Goldberg, “Plant Molecular Biology: A Practical Approach”, pp. 1-35, Shaw ed., c. 1988 by IRL, Oxford. The quality and the integrity of the polyA+ RNAs were evaluated.

Starting material for cDNA synthesis for the exemplary Arabidopsis cDNA clones with sequences presented in the Reference and Sequence tables or polynucleotides encoding polypeptides of the Protein Group or Protein Group Matrix tables was polysomal RNA isolated from the top-most inflorescence tissues of Arabidopsis thaliana Wassilewskija (Ws.) and from roots of Arabidopsis thaliana Landsberg erecta (L. er.), also obtained from the Arabidopsis Biological Resource Center. Nine parts inflorescence to every part root was used, as measured by wet mass. Tissue was pulverized and exposed to liquid nitrogen. Next, the sample was homogenized in the presence of detergents and then centrifuged. The debris and nuclei were removed from the sample and more detergents were added to the sample. The sample was centrifuged and the debris was removed and the sample was applied to a 2M sucrose cushion to isolate polysomal RNA. Cox et al., “Plant Molecular Biology: A Practical Approach”, pp. 1-35, Shaw ed., c. 1988 by IRL, Oxford. The polysomal RNA was used for cDNA synthesis by the methods described below. Polysomal mRNA was then isolated as described above for corn cDNA. The quality of the RNA was assessed electrophoretically.

Following preparation of the mRNAs from various tissues as described above, selection of mRNA with intact 5′ ends and specific attachment of an oligonucleotide tag to the 5′ end of such mRNA was performed using either a chemical or enzymatic approach. Both techniques take advantage of the presence of the “cap” structure, which characterizes the 5′ end of most intact mRNAs and which comprises a guanosine generally methylated once, at the 7 position.

The chemical modification approach involves the optional elimination of the 2′,3′-cis diol of the 3′ terminal ribose, the oxidation of the 2′,3′-cis diol of the ribose linked to the cap of the 5′ ends of the mRNAs into a dialdehyde, and the coupling of the such obtained dialdehyde to a derivatized oligonucleotide tag. Further detail regarding the chemical approaches for obtaining mRNAs having intact 5′ ends are disclosed in International Application No. WO96/34981 published Nov. 7, 1996.

The enzymatic approach for ligating the oligonucleotide tag to the intact 5′ ends of mRNAs involves the removal of the phosphate groups present on the 5′ ends of uncapped incomplete mRNAs, the subsequent decapping of mRNAs having intact 5′ ends and the ligation of the phosphate present at the 5′ end of the decapped mRNA to an oligonucleotide tag. Further detail regarding the enzymatic approaches for obtaining mRNAs having intact 5′ ends are disclosed in Dumas Milne Edwards J. B. (Doctoral Thesis of Paris VI University, Le clonage des ADNc complets: difficultes et perspectives nouvelles. Apports pour l'étude de la régulation de l'expression de la tryptophane hydroxylase de rat, 20 Dec. 1993), EPO 625572 and Kato et al., Gene 150:243-250 (1994).

In both the chemical and the enzymatic approach, the oligonucleotide tag has a restriction enzyme site (e.g. an EcoRI site) therein to facilitate later cloning procedures. Following attachment of the oligonucleotide tag to the mRNA, the integrity of the mRNA is examined by performing a Northern blot using a probe complementary to the oligonucleotide tag.

For the mRNAs joined to oligonucleotide tags using either the chemical or the enzymatic method, first strand cDNA synthesis is performed using an oligo-dT primer with reverse transcriptase. This oligo-dT primer can contain an internal tag of at least 4 nucleotides, which can be different from one mRNA preparation to another. Methylated dCTP is used for cDNA first strand synthesis to protect the internal EcoRI sites from digestion during subsequent steps. The first strand cDNA is precipitated using isopropanol after removal of RNA by alkaline hydrolysis to eliminate residual primers.

Second strand cDNA synthesis is conducted using a DNA polymerase, such as Klenow fragment and a primer corresponding to the 5′ end of the ligated oligonucleotide. The primer is typically 20-25 bases in length. Methylated dCTP is used for second strand synthesis in order to protect internal EcoRI sites in the cDNA from digestion during the cloning process.

Following second strand synthesis, the full-length cDNAs are cloned into a phagemid vector, such as pBlueScript™ (Stratagene). The ends of the full-length cDNAs are blunted with T4 DNA polymerase (Biolabs) and the cDNA is digested with EcoRI. Since methylated dCTP is used during cDNA synthesis, the EcoRI site present in the tag is the only hemi-methylated site; hence the only site susceptible to EcoRI digestion. In some instances, to facilitate subcloning, an Hind III adapter is added to the 3 end of full-length cDNAs.

The full-length cDNAs are then size fractionated using either exclusion chromatography (AcA, Biosepra) or electrophoretic separation which yields 3 to 6 different fractions. The full-length cDNAs are then directionally cloned either into pBlueScript™ using either the EcoRI and SmaI restriction sites or, when the Hind III adapter is present in the full-length cDNAs, the EcoRI and Hind III restriction sites. The ligation mixture is transformed, preferably by electroporation, into bacteria, which are then propagated under appropriate antibiotic selection.

Clones containing the oligonucleotide tag attached to full-length cDNAs are selected as follows.

The plasmid cDNA libraries made as described above are purified (e.g. by a column available from Qiagen). A positive selection of the tagged clones is performed as follows. Briefly, in this selection procedure, the plasmid DNA is converted to single stranded DNA using phage F1 gene II endonuclease in combination with an exonuclease (Chang et al., Gene 127:95 (1993)) such as exonuclease III or T7 gene 6 exonuclease. The resulting single stranded DNA is then purified using paramagnetic beads as described by Fry et al., Biotechniques 13: 124 (1992). Here the single stranded DNA is hybridized with a biotinylated oligonucleotide having a sequence corresponding to the 3′ end of the oligonucleotide tag. Preferably, the primer has a length of 20-25 bases. Clones including a sequence complementary to the biotinylated oligonucleotide are selected by incubation with streptavidin coated magnetic beads followed by magnetic capture. After capture of the positive clones, the plasmid DNA is released from the magnetic beads and converted into double stranded DNA using a DNA polymerase such as ThermoSequenase™ (obtained from Amersham Pharmacia Biotech). Alternatively, protocols such as the Gene Trapper™ kit (Gibco BRL) can be used. The double stranded DNA is then transformed, preferably by electroporation, into bacteria. The percentage of positive clones having the 5′ tag oligonucleotide is typically estimated to be between 90 and 98% from dot blot analysis.

Following transformation, the libraries are ordered in microtiter plates and sequenced. The Arabidopsis library was deposited at the American Type Culture Collection on Jan. 7, 2000 as “E-coli liba 010600” under the accession number PTA-1161.

I. Example 2

Southern Hybridizations

The SDFs of the invention can be used in Southern hybridizations as described above. The following describes extraction of DNA from nuclei of plant cells, digestion of the nuclear DNA and separation by length, transfer of the separated fragments to membranes, preparation of probes for hybridization, hybridization and detection of the hybridized probe.

The procedures described herein can be used to isolate related polynucleotides or for diagnostic purposes. Moderate stringency hybridization conditions, as defined above, are described in the present example. These conditions result in detection of hybridization between sequences having at least 70% sequence identity. As described above, the hybridization and wash conditions can be changed to reflect the desired percentage of sequence identity between probe and target sequences that can be detected.

In the following procedure, a probe for hybridization is produced from two PCR reactions using two primers from genomic sequence of Arabidopsis thaliana. As described above, the particular template for generating the probe can be any desired template.

The first PCR product is assessed to validate the size of the primer to assure it is of the expected size. Then the product of the first PCR is used as a template, with the same pair of primers used in the first PCR, in a second PCR that produces a labeled product used as the probe.

Fragments detected by hybridization, or other bands of interest, can be isolated from gels used to separate genomic DNA fragments by known methods for further purification and/or characterization.

Buffers for Nuclear DNA Extraction

1. 10×HB

	1000 ml
40 mM spermidine	10.2 g	Spermine (Sigma S-2876) and
		spermidine (Sigma S-2501)
10 mM spermine	3.5 g	Stabilize chromatin and the nuclear
		membrane
0.1 M EDTA	37.2 g	EDTA inhibits nuclease
(disodium)
0.1 M Tris	12.1 g	Buffer
0.8 M KCl	59.6 g	Adjusts ionic strength for stability of
		nuclei

• • Adjust pH to 9.5 with 10 N NaOH. It appears that there is a nuclease present in leaves. Use of pH 9.5 appears to inactivate this nuclease.2. 2 M sucrose (684 g per 1000 ml)
  • Heat about half the final volume of water to about 5° C. Add the sucrose slowly then bring the mixture to close to final volume; stir constantly until it has dissolved. Bring the solution to volume.3.

Sarkosyl solution (lyses nuclear membranes)
1000 ml
N-lauroyl sarcosine (Sarkosyl) 20.0 g
0.1 M Tris                     12.1 g
0.04 M EDTA (Disodium)         14.9 g

• • Adjust the pH to 9.5 after all the components are dissolved and bring up to the proper volume.4.
  • 20% Triton X-100
  • 80 ml Triton X-100
  • 320 ml 1×HB (w/o β-ME and PMSF)
  • Prepare in advance; Triton takes some time to dissolve

A. Procedure

• 1.

Prepare 1X “H” buffer (keep ice-cold during use)
1000 ml
10X HB      100 ml
2 M sucrose 250 ml a non-ionic osmoticum
Water       634 ml

• • Added just before use:

100 mM PMSF*      10 ml a protease inhibitor; protects nuclear
                  membrane proteins
β-mercaptoethanol 1 ml inactivates nuclease by reducing
                  disulfide bonds
*100 mM PMSF (phenyl methyl sulfonyl fluoride, Sigma P-7626) (add 0.0875 g to 5 ml 100% ethanol)

• 2. Homogenize the tissue in a blender (use 300-400 ml of 1×HB per blender). Be sure that you use 5-10 ml of HB buffer per gram of tissue. Blenders generate heat so be sure to keep the homogenate cold. It is necessary to put the blenders in ice periodically.
• 3. Add the 20% Triton X-100 (25 ml per liter of homogenate) and gently stir on ice for 20 min. This lyses plastid, but not nuclear, membranes.
• 4. Filter the tissue suspension through several nylon filters into an ice-cold beaker. The first filtration is through a 250-micron membrane; the second is through an 85-micron membrane; the third is through a 50-micron membrane; and the fourth is through a 20-micron membrane. Use a large funnel to hold the filters. Filtration can be sped up by gently squeezing the liquid through the filters.
• 5. Centrifuge the filtrate at 1200×g for 20 min. at 4° C. to pellet the nuclei.
• 6. Discard the dark green supernatant. The pellet will have several layers to it. One is starch; it is white and gritty. The nuclei are gray and soft. In the early steps, there may be a dark green and somewhat viscous layer of chloroplasts.
  • Wash the pellets in about 25 ml cold H buffer (with Triton X-100) and resuspend by swirling gently and pipetting. After the pellets are resuspended.
  • Pellet the nuclei again at 1200-1300×g. Discard the supernatant.
  • Repeat the wash 3-4 times until the supernatant has changed from a dark green to a pale green. This usually happens after 3 or 4 resuspensions. At this point, the pellet is typically grayish white and very slippery. The Triton X-100 in these repeated steps helps to destroy the chloroplasts and mitochondria that contaminate the prep.
  • Resuspend the nuclei for a final time in a total of 15 ml of H buffer and transfer the suspension to a sterile 125 ml Erlenmeyer flask.
• 7. Add 15 ml, dropwise, cold 2% Sarkosyl, 0.1 M Tris, 0.04 M EDTA solution (pH 9.5) while swirling gently. This lyses the nuclei. The solution will become very viscous.
• 8. Add 30 grams of CsCl and gently swirl at room temperature until the CsCl is in solution. The mixture will be gray, white and viscous.
• 9. Centrifuge the solution at 11,400×g at 4° C. for at least 30 min. The longer this spin is, the firmer the protein pellicle.
• 10. The result is typically a clear green supernatant over a white pellet, and (perhaps) under a protein pellicle. Carefully remove the solution under the protein pellicle and above the pellet. Determine the density of the solution by weighing 1 ml of solution and add CsCl if necessary to bring to 1.57 g/ml. The solution contains dissolved solids (sucrose etc) and the refractive index alone will not be an accurate guide to CsCl concentration.
• 11. Add 20 μl of 10 mg/ml EtBr per ml of solution.
• 12. Centrifuge at 184,000×g for 16 to 20 hours in a fixed-angle rotor.
• 13. Remove the dark red supernatant that is at the top of the tube with a plastic transfer pipette and discard. Carefully remove the DNA band with another transfer pipette. The DNA band is usually visible in room light; otherwise, use a long wave UV light to locate the band.
• 14. Extract the ethidium bromide with isopropanol saturated with water and salt. Once the solution is clear, extract at least two more times to ensure that all of the EtBr is gone. Be very gentle, as it is very easy to shear the DNA at this step. This extraction may take a while because the DNA solution tends to be very viscous. If the solution is too viscous, dilute it with TE.
• 15. Dialyze the DNA for at least two days against several changes (at least three times) of TE (10 mM Tris, 1 mM EDTA, pH 8) to remove the cesium chloride.
• 16. Remove the dialyzed DNA from the tubing. If the dialyzed DNA solution contains a lot of debris, centrifuge the DNA solution at least at 2500×g for 10 min. and carefully transfer the clear supernatant to a new tube. Read the A260 concentration of the DNA.
• 17. Assess the quality of the DNA by agarose gel electrophoresis (1% agarose gel) of the DNA. Load 50 ng and 100 ng (based on the OD reading) and compare it with known and good quality DNA. Undigested lambda DNA and a lambda-HindIII-digested DNA are good molecular weight makers.

Protocol for Digestion of Genomic DNA

Protocol:

• 1. The relative amounts of DNA for different crop plants that provide approximately a balanced number of genome equivalent is given in Table 3. Note that due to the size of the wheat genome, wheat DNA will be underrepresented. Lambda DNA provides a useful control for complete digestion.
• 2. Precipitate the DNA by adding 3 volumes of 100% ethanol. Incubate at −20° C. for at least two hours. Yeast DNA can be purchased and made up at the necessary concentration, therefore no precipitation is necessary for yeast DNA.
• 3. Centrifuge the solution at 11,400×g for 20 min. Decant the ethanol carefully (be careful not to disturb the pellet). Be sure that the residual ethanol is completely removed either by vacuum desiccation or by carefully wiping the sides of the tubes with a clean tissue.
• 4. Resuspend the pellet in an appropriate volume of water. Be sure the pellet is fully resuspended before proceeding to the next step. This may take about 30 min.
• 5. Add the appropriate volume of 10× reaction buffer provided by the manufacturer of the restriction enzyme to the resuspended DNA followed by the appropriate volume of enzymes. Be sure to mix it properly by slowly swirling the tubes.
• 6. Set-up the lambda digestion-control for each DNA that you are digesting.
• 7. Incubate both the experimental and lambda digests overnight at 37° C. Spin down condensation in a microfuge before proceeding.
• 8. After digestion, add 2 μl of loading dye (typically 0.25% bromophenol blue, 0.25% xylene cyanol in 15% Ficoll or 30% glycerol) to the lambda-control digests and load in 1% TPE-agarose gel (TPE is 90 mM Tris-phosphate, 2 mM EDTA, pH 8). If the lambda DNA in the lambda control digests are completely digested, proceed with the precipitation of the genomic DNA in the digests.
• 9. Precipitate the digested DNA by adding 3 volumes of 100% ethanol and incubating in −20° C. for at least 2 hours (preferably overnight).
  • EXCEPTION: Arabidopsis and yeast DNA are digested in an appropriate volume; they don't have to be precipitated.
• 10. Resuspend the DNA in an appropriate volume of TE (e.g., 22 μl×50 blots=1100 μl) and an appropriate volume of 10× loading dye (e.g., 2.4 μl×50 blots=120 μl). Be careful in pipetting the loading dye—it is viscous. Be sure you are pipetting the correct volume.

TABLE 3
Some guide points in digesting genomic DNA.
			Genome
			Equivalent
		Size	to 2 μg	Amount
		Relative to	Arabidopsis	of DNA
Species	Genome Size	Arabidopsis	DNA	per blot
Arabidopsis	120 Mb	1X	1X	2 μg
Brassica	1,100 Mb	9.2X	0.54X	10 μg
Corn	2,800 Mb	23.3X	0.43X	20 μg
Cotton	2,300 Mb	19.2X	0.52X	20 μg
Oat	11,300 Mb	94X	0.11X	20 μg
Rice	400 Mb	3.3X	0.75X	5 μg
Soybean	1,100 Mb	9.2X	0.54X	10 μg
Sugarbeet	758 Mb	6.3X	0.8X	10 μg
Sweetclover	1,100 Mb	9.2X	0.54X	10 μg
Wheat	16,000 Mb	133X	0.08X	20 μg
Yeast	15 Mb	0.12X	1X	0.25 μg

Protocol for Southern Blot Analysis

The digested DNA samples are electrophoresed in 1% agarose gels in 1×TPE buffer. Low voltage; overnight separations are preferred. The gels are stained with EtBr and photographed.

• 1. For blotting the gels, first incubate the gel in 0.25 N HCl (with gentle shaking) for about 15 min.
• 2. Then briefly rinse with water. The DNA is denatured by 2 incubations. Incubate (with shaking) in 0.5 M NaOH in 1.5 M NaCl for 15 min.
• 3. The gel is then briefly rinsed in water and neutralized by incubating twice (with shaking) in 1.5 M Tris pH 7.5 in 1.5 M NaCl for 15 min.
• 4. A nylon membrane is prepared by soaking it in water for at least 5 min, then in 6×SSC for at least 15 min. before use. (20×SSC is 175.3 g NaCl, 88.2 g sodium citrate per liter, adjusted to pH 7.0.)
• 5. The nylon membrane is placed on top of the gel and all bubbles in between are removed. The DNA is blotted from the gel to the membrane using an absorbent medium, such as paper toweling and 6×SCC buffer. After the transfer, the membrane may be lightly brushed with a gloved hand to remove any agarose sticking to the surface.
• 6. The DNA is then fixed to the membrane by UV crosslinking and baking at 80° C. The membrane is stored at 4° C. until use.

B. Protocol for PCR Amplification of Genomic Fragments in Arabidopsis

Amplification Procedures:

1. Mix the following in a 0.20 ml PCR tube or 96-well PCR plate:

Volume	Stock	Final Amount or Conc.
0.5	μl	~10 ng/μl genomic DNA1	5 ng
2.5	μl	10X PCR buffer	20 mM Tris, 50 mM KCl
0.75	μl	50 mM MgCl2	1.5 mM
1	μl	10 pmol/μl Primer 1 (Forward)	10 pmol
1	μl	10 pmol/μl Primer 2 (Reverse)	10 pmol
0.5	μl	5 mM dNTPs	0.1 mM
0.1	μl	5 units/μl Platinum Taq ™ (Life	1 units
		Technologies, Gaithersburg,
		MD) DNA Polymerase
(to 25	μl)	Water
1 Arabidopsis DNA is used in the present experiment, but the procedure is a general one.

2. The template DNA is amplified using a Perkin Elmer 9700 PCR machine:

1) 94° C. for 10 min. followed by

	2)	3)	4)
	5 cycles:	5 cycles:	25 cycles:
	94° C. - 30 sec	94° C. - 30 sec	94° C. - 30 sec
	62° C. - 30 sec	58° C. - 30 sec	53° C. - 30 sec
	72° C. - 3 min	72° C. - 3 min	72° C. - 3 min

5) 72° C. for 7 min. Then the reactions are stopped by chilling to 4° C.

The procedure can be adapted to a multi-well format if necessary.

Quantification and Dilution of PCR Products:

• 1. The product of the PCR is analyzed by electrophoresis in a 1% agarose gel. A linearized plasmid DNA can be used as a quantification standard (usually at 50, 100, 200, and 400 ng). These will be used as references to approximate the amount of PCR products. HindIII-digested Lambda DNA is useful as a molecular weight marker. The gel can be run fairly quickly; e.g., at 100 volts. The standard gel is examined to determine that the size of the PCR products is consistent with the expected size and if there are significant extra bands or smeary products in the PCR reactions.
• 2. The amounts of PCR products can be estimated on the basis of the plasmid standard.
• 3. For the small number of reactions that produce extraneous bands, a small amount of DNA from bands with the correct size can be isolated by dipping a sterile 10-μl tip into the band while viewing though a UV Transilluminator. The small amount of agarose gel (with the DNA fragment) is used in the labeling reaction.

C. Protocol for PCR-DIG-Labeling of DNA

Solutions:

• • Reagents in PCR reactions (diluted PCR products, 10×PCR Buffer, 50 mM MgCl₂, 5 U/μl Platinum Taq Polymerase, and the primers)
  • 10× dNTP+DIG-11-dUTP [1:5]: (2 mM dATP, 2 mM dCTP, 2 mM dGTP, 1.65 mM dTTP, 0.35 mM DIG-11-dUTP)
  • 10× dNTP+DIG-11-dUTP [1:10]: (2 mM dATP, 2 mM dCTP, 2 mM dGTP, 1.81 mM dTTP, 0.19 mM DIG-11-dUTP)
  • 10× dNTP+DIG-11-dUTP [1:15]: (2 mM dATP, 2 mM dCTP, 2 mM dGTP, 1.875 mM dTTP, 0.125 mM DIG-11-dUTP)
  • TE buffer (10 mM Tris, 1 mM EDTA, pH 8)
  • Maleate buffer: In 700 ml of deionized distilled water, dissolve 11.61 g maleic acid and 8.77 g NaCl. Add NaOH to adjust the pH to 7.5. Bring the volume to 1 L. Stir for 15 min. and sterilize.
  • 10% blocking solution: In 80 ml deionized distilled water, dissolve 1.16 g maleic acid. Next, add NaOH to adjust the pH to 7.5. Add 10 g of the blocking reagent powder (Boehringer Mannheim, Indianapolis, Ind., Cat. no. 1096176). Heat to 60° C. while stirring to dissolve the powder. Adjust the volume to 100 ml with water. Stir and sterilize.
  • 1% blocking solution: Dilute the 10% stock to 1% using the maleate buffer.
  • Buffer 3 (100 mM Tris, 100 mM NaCl, 50 mM MgCl₂, pH9.5). Prepared from autoclaved solutions of 1M Tris pH 9.5, 5 M NaCl, and 1 M MgCl₂ in autoclaved distilled water.

Procedure:

• 1. PCR reactions are performed in 25 μl volumes containing:

                              PCR buffer                1X
                              MgCl2                     1.5 mM
                              10X dNTP + DIG-11-dUTP    1X (please see the note below)
                              Platinum Taq ™ Polymerase 1 unit
                              10 pg probe DNA
                              10 pmol primer 1
Note:
                              Use for:
10X dNTP + DIG-11-dUTP (1:5)  <1 kb
10X dNTP + DIG-11-dUTP (1:10) 1 kb to 1.8 kb
10X dNTP + DIG-11-dUTP (1:15) >1.8 kb

• 2. The PCR reaction uses the following amplification cycles:
  • 1) 94° C. for 10 min.

	2)	3)	4)
	5 cycles:	5 cycles:	25 cycles:
	95° C. - 30 sec	95° C. - 30 sec	95° C. - 30 sec
	61° C. - 1 min	59° C. - 1 min	51° C. - 1 min
	73° C. - 5 min	75° C. - 5 min	73° C. - 5 min

• • 5) 72° C. for 8 min. The reactions are terminated by chilling to 4° C. (hold).
• 3. The products are analyzed by electrophoresis—in a 1% agarose gel, comparing to an aliquot of the unlabelled probe starting material.
• 4. The amount of DIG-labeled probe is determined as follows:
  • Make serial dilutions of the diluted control DNA in dilution buffer (TE: 10 mM Tris and 1 mM EDTA, pH 8) as shown in the following table:

DIG-labeled control		Final Conc. (Dilution
DNA starting conc.	Stepwise Dilution	Name)
5 ng/μl	1 μl in 49 μl TE	100 pg/μl (A)
100 pg/μl (A)	25 μl in 25 μl TE	50 pg/μl (B)
50 pg/μl (B)	25 μl in 25 μl TE	25 pg/μl (C)
25 pg/μl (C)	20 μl in 30 μl TE	10 pg/μl (D)

• • a. Serial deletions of a DIG-labeled standard DNA ranging from 100 pg to 10 pg are spotted onto a positively charged nylon membrane, marking the membrane lightly with a pencil to identify each dilution.
  • b. Serial dilutions (e.g., 1:50, 1:2500, 1:10,000) of the newly labeled DNA probe are spotted.
  • c. The membrane is fixed by UV crosslinking.
  • d. The membrane is wetted with a small amount of maleate buffer and then incubated in 1% blocking solution for 15 min at room temp.
  • e. The labeled DNA is then detected using alkaline phosphatase conjugated anti-DIG antibody (Boehringer Mannheim, Indianapolis, Ind., cat. no. 1093274) and an NBT substrate according to the manufacture's instruction.
  • f. Spot intensities of the control and experimental dilutions are then compared to estimate the concentration of the PCR-DIG-labeled probe.

D. Prehybridization and Hybridization of Southern Blots

Solutions:

100%   Formamide purchased from Gibco
20X    SSC (1X = 0.15 M NaCl, 0.015 M Na3citrate)
per L: 175 g NaCl
       87.5 g Na3citrate 2H20
20%    Sarkosyl (N-lauroyl-sarcosine)
20%    SDS (sodium dodecyl sulphate)
10%    Blocking Reagent: In 80 ml deionized distilled water, dissolve
       1.16 g maleic acid.
       Next, add NaOH to adjust the pH to 7.5. Add 10 g of the
       blocking reagent powder.
       Heat to 60° C. while stirring to dissolve the powder.
       Adjust the volume to 100 ml with water. Stir and sterilize.

Prehybridization Mix:

Final		Volume
Concentration	Components	(per 100 ml)	Stock
50%	Formamide	50 ml	100%
5X	SSC	25 ml	20X
0.1%	Sarkosyl	0.5 ml	20%
0.02%	SDS	0.1 ml	20%
2%	Blocking Reagent	20 ml	10%
	Water	4.4 ml

General Procedures:

• 1. Place the blot in a heat-sealable plastic bag and add an appropriate volume of prehybridization solution (30 ml/100 cm²) at room temperature. Seal the bag with a heat sealer, avoiding bubbles as much as possible. Lay down the bags in a large plastic tray (one tray can accommodate at least 4-5 bags). Ensure that the bags are lying flat in the tray so that the prehybridization solution is evenly distributed throughout the bag. Incubate the blot for at least 2 hours with gentle agitation using a waver shaker.
• 2. Denature DIG-labeled DNA probe by incubating for 10 min. at 98° C. using the PCR machine and immediately cool it to 4° C.
• 3. Add probe to prehybridization solution (25 ng/ml; 30 ml=750 ng total probe) and mix well but avoid foaming. Bubbles may lead to background.
• 4. Pour off the prehybridization solution from the hybridization bags and add new prehybridization and probe solution mixture to the bags containing the membrane.
• 5. Incubate with gentle agitation for at least 16 hours.
• 6. Proceed to medium stringency post-hybridization wash:
  • Three times for 20 min. each with gentle agitation using 1×SSC, 1% SDS at 60° C.
  • All wash solutions must be prewarmed to 60° C. Use about 100 ml of wash solution per membrane.
  • To avoid background keep the membranes fully submerged to avoid drying in spots; agitate sufficiently to avoid having membranes stick to one another.
• 7. After the wash, proceed to immunological detection and CSPD development.E. Procedure for Immunological Detection with CSPD

Solutions:

Buffer 1:         Maleic acid buffer (0.1 M maleic acid, 0.15 M NaCl;
                  adjusted to pH 7.5 with NaoH)
Washing buffer:   Maleic acid buffer with 0.3% (v/v) Tween 20.
Blocking stock    10% blocking reagent in buffer 1. Dissolve (10X
solution          concentration): blocking reagent powder (Boehringer
                  Mannheim, Indianapolis, IN, cat. no. 1096176) by
                  constantly stirring on a 65° C. heating block or heat
                  in a microwave, autoclave and store at 4° C.
Buffer 2          Dilute the stock solution 1:10 in Buffer 1.
(1X blocking
solution):
Detection buffer: 0.1 M Tris, 0.1 M NaCl, pH 9.5

Procedure:

• 1. After the post-hybridization wash the blots are briefly rinsed (1-5 min.) in the maleate washing buffer with gentle shaking.
• 2. Then the membranes are incubated for 30 min. in Buffer 2 with gentle shaking.
• 3. Anti-DIG-AP conjugate (Boehringer Mannheim, Indianapolis, Ind., cat. no. 1093274) at 75 mU/ml (1:10,000) in Buffer 2 is used for detection. 75 ml of solution can be used for 3 blots.
• 4. The membrane is incubated for 30 min. in the antibody solution with gentle shaking.
• 5. The membrane are washed twice in washing buffer with gentle shaking. About 250 mls is used per wash for 3 blots.
• 6. The blots are equilibrated for 2-5 min in 60 ml detection buffer.
• 7. Dilute CSPD (1:200) in detection buffer. (This can be prepared ahead of time and stored in the dark at 4° C.).
  • The following steps must be done individually. Bags (one for detection and one for exposure) are generally cut and ready before doing the following steps.
• 8. The blot is carefully removed from the detection buffer and excess liquid removed without drying the membrane. The blot is immediately placed in a bag and 1.5 ml of CSPD solution is added. The CSPD solution can be spread over the membrane. Bubbles present at the edge and on the surface of the blot are typically removed by gentle rubbing. The membrane is incubated for 5 min. in CSPD solution.
• 9. Excess liquid is removed and the membrane is blotted briefly (DNA side up) on Whatman 3MM paper. Do not let the membrane dry completely.
• 10. Seal the damp membrane in a hybridization bag and incubate for 10 min at 37° C. to enhance the luminescent reaction.
• 11. Expose for 2 hours at room temperature to X-ray film. Multiple exposures can be taken. Luminescence continues for at least 24 hours and signal intensity increases during the first hours.

Example 3

Microarray Experiments and Results

Example 3

Microarray Experiments and Results

1. Sample Tissue Preparation

(a) Roots

Seeds of Arabidopsis thaliana (Ws) were sterilized in full strength bleach for less than 5 min., washed more than 3 times in sterile distilled deionized water and plated on MS agar plates. The plates were placed at 4° C. for 3 nights and then placed vertically into a growth chamber having 16 hr light/8 hr dark cycles, 23° C., 70% relative humidity and ˜11,000 LUX. After 2 weeks, the roots were cut from the agar, flash frozen in liquid nitrogen and stored at −80° C. (EXPT REP: 108439 and 108434)

(b) Root Hairless Mutants

Plants mutant at the rhl gene locus lack root hairs. This mutation is maintained as a heterozygote.

Seeds of Arabidopsis thaliana (Landsberg erecta) mutated at the rhi gene locus were sterilized using 30% bleach with 1 ul/ml 20% Triton-X 100 and then vernalized at 4° C. for 3 days before being plated onto GM agar plates. Plates were placed in growth chamber with 16 hr light/8 hr. dark, 23° C., 14,500-15,900 LUX, and 70% relative humidity for germination and growth.

After 7 days, seedlings were inspected for root hairs using a dissecting microscope. Mutants were harvested and the cotyledons removed so that only root tissue remained. Tissue was then flash frozen in liquid nitrogen and stored at −80 C. (EXPT REP: 108433) Arabidopsis thaliana (Landsberg erecta) seedlings grown and prepared as above were used as controls. (EXPT REP: 108433)

Alternatively, seeds of Arabidopsis thaliana (Landsberg erecta), heterozygous for the rhl1 (root hairless) mutation, were surface-sterilized in 30% bleach containing 0.1% Triton X-100 and further rinsed in sterile water. They were then vernalized at 4° C. for 4 days before being plated onto MS agar plates. The plates were maintained in a growth chamber at 24° C. with 16 hr light/8 hr dark for germination and growth. After 10 days, seedling roots that expressed the phenotype (i.e. lacking root hairs) were cut below the hypocotyl junction, frozen in liquid nitrogen and stored at −80° C. Those seedlings with the normal root phenotype (heterozygous or wt) were collected as described for the mutant and used as controls.

(c) Rosette Leaves, Stems, and Siliques

Arabidopsis thaliana (Ws) seed was vernalized at 4° C. for 3 days before sowing in Metro-mix soil type 350. Flats were placed in a growth chamber having 16 hr light/8 hr dark, 80% relative humidity, 23° C. and 13,000 LUX for germination and growth. After 3 weeks, rosette leaves, stems, and siliques (see EXPT REP: 108436, 108437 and 108438) were harvested, flash frozen in liquid nitrogen and stored at −80° C. until use. After 4 weeks, siliques (<5 mm, 5-10 mm and >10 mm) were harvested, flash frozen in liquid nitrogen and stored at −80° C. until use. 5 week old whole plants (used as controls) were harvested, flash frozen in liquid nitrogen and kept at −80° C. until RNA was isolated.

(d) Trichomes

Arabidopsis thaliana (Colombia glabrous) inflorescences were used as a control and CS8143 (hairy inflorescence ecotype) inflorescences, having increased trichomes, were used as the experimental sample.

Approximately 10 μl of each type of seed was sown on a flat of 350 soil (containing 0.03% marathon) and vernalized at 4° C. for 3 days. Plants were then grown at room temperature under florescent lighting. Young inflorescences were collected at 30 days for the control plants and 37 days for the experimental plants. Each inflorescence was cut into one-half inch (½″) pieces, flash frozen in liquid nitrogen and stored at −80° C. until RNA was isolated.

(e) Germination

Arabidopsis thaliana seeds (ecotype Ws) were sterilized in bleach and rinsed with sterile water. The seeds were placed in 100 mm petri plates containing soaked autoclaved filter paper. Plates were foil-wrapped and left at 4° C. for 3 nights to vernalize. After cold treatment, the foil was removed and plates were placed into a growth chamber having 16 hr light/8 hr dark cycles, 23° C., 70% relative humidity and ˜11,000 lux. Seeds were collected 1 d (EXPT REP: 108461), 2 d (EXPT REP: 108462), 3 d (EXPT REP: 108463) and 4 d (EXPT REP: 108464) later, flash frozen in liquid nitrogen and stored at −80° C. until RNA was isolated.

(f) Shoot Apical Meristem

Arabidopsis thaliana (Landsberg erecta) plants mutant at the stm gene locus lack shoot meristems, produce aerial rosettes, have a reduced number of flowers per inflorescence, as well as a reduced number of petals, stamens and carpels, and is female sterile. This mutation is maintained as a heterozygote.

Seeds of Arabidopsis thaliana (Landsberg erecta) mutated at the stm locus were sterilized using 30% bleach with 1 ul/ml 20% Triton-X100. The seeds were vernalized at 4° C. for 3 days before being plated onto GM agar plates. Half were then put into a 22° C., 24 hr light growth chamber and half in a 24° C. 16 hr light/8 hr dark growth chamber having 14,500-15,900 LUX, and 70% relative humidity for germination and growth.

After 7 days, seedlings were examined for leaf primordia using a dissecting microscope. Presence of leaf primordia indicated a wild type phenotype. Mutants were selected based on lack of leaf primordia. Mutants were then harvested and hypocotyls removed leaving only tissue in the shoot region. Tissue was then flash frozen in liquid nitrogen and stored at −80° C.

Control tissue was isolated from 5 day old Landsberg erecta seedlings grown in the same manner as above. Tissue from the shoot region was harvested in the same manner as the stm tissue, but only contained material from the 24° C., 16 hr light/8 hr dark long day cycle growth chamber. (EXPT REP: 108453)

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 8 days. Seedlings were carefully removed from the sand and the outer layers of leaf shealth removed. About 2 mm sections were cut and flash frozen in liquid nitrogen prior to storage at −80° C. The tissues above the shoot apices (˜1 cm long) were cut, treated as above and used as control tissue.

(g) Abscissic Acid (ABA)

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in trays and left at 4° C. for 4 days to vernalize. They were then transferred to a growth chamber having grown 16 hr light/8 hr dark, 13,000 LUX, 70% humidity, and 20° C. and watered twice a week with 1 L of 1× Hoagland's solution. Approximately 1,000 14 day old plants were spayed with 200-250 mls of 100 μM ABA in a 0.02% solution of the detergent Silwet L-77. Whole seedlings, including roots, were harvested within a 15 to 20 minute time period at 1 hr and 6 hr after treatment, flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 100 μM ABA for treatment. Control plants were treated with water. After 6 hr and 24 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(h) Auxin Responsive

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in trays and left at 4° C. for 4 days to vernalize. They were then transferred to a growth chamber having 16 hr light/8 hr dark, 13,000 LUX, 70% humidity, 20° C. and watered twice a week with 1 L of 1× Hoagland's solution (recipe recited in Feldmann et al., (1987) Mol. Gen. Genet. 208: 1-9 and described as complete nutrient solution). Approximately 1,000 14 day old plants were spayed with 200-250 mls of 100 μM NAA in a 0.02% solution of the detergent Silwet L-77. Aerial tissues (everything above the soil line) were harvested within a 15 to 20 minute time period 1 hr and 6 hrs after treatment, flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 100 μM NAA for treatment. Control plants were treated with water. After 6 hr and 24 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(i) Cytokinin

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in trays and left at 4° C. for 4 days to vernalize. They were then transferred to a growth chamber having 16 hr light/8 hr dark, 13,000 LUX, 70% humidity, 20° C. temperature and watered twice a week with 1 L of 1× Hoagland's solution. Approximately 1,000 14 day old plants were spayed with 200-250 mls of 100 μM BA in a 0.02% solution of the detergent Silwet L-77. Aerial tissues (everything above the soil line) were harvested within a 15 to 20 minute time period 1 hr and 6 hrs after treatment, flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 100 μM BA for treatment. Control plants were treated with water. After 6 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(j) Brassinosteroid Responsive

Two separate experiments were performed, one with epi-brassinolide and one with the brassinosteroid biosynthetic inhibitor brassinazole.

In the epi-brassinolide experiments, seeds of wild-type Arabidopsis thaliana (ecotype Wassilewskija) and the brassinosteroid biosynthetic mutant dwf4-1 were sown in trays and left at 4° C. for 4 days to vernalize. They were then transferred to a growth chamber having 16 hr light/8 hr dark, 11,000 LUX, 70% humidity and 22° C. temperature. Four week old plants were spayed with a 1 μM solution of epi-brassinolide and shoot parts (unopened floral primordia and shoot apical meristems) harvested three hours later. Tissue was flash-frozen in liquid nitrogen and stored at −80° C. (EXPT REP 108480)

In the brassinazole experiments, seeds of wild-type Arabidopsis thaliana (ecotype Wassilewskija) were grown as described above. Four week old plants were spayed with a 1 μM solution of brassinazole and shoot parts (unopened floral primordia and shoot apical meristems) harvested three hours later. Tissue was flash-frozen in liquid nitrogen and stored at −80° C. (EXPT REP 108481)

In addition to the spray experiments, tissue was prepared from two different mutants; (1) a dwf4-1 knock out mutant (EXPT REP: 108478) and (2) a mutant overexpressing the dwf4-1 gene (EXPT REP: 108479).

Seeds of wild-type Arabidopsis thaliana (ecotype Wassilewskija) and of the dwf4-1 knock out and overexpressor mutants were sown in trays and left at 4° C. for 4 days to vernalize. They were then transferred to a growth chamber having 16 hr light/8 hr dark, 11,000 LUX, 70% humidity and 22° C. temperature. Tissue from shoot parts (unopened floral primordia and shoot apical meristems) was flash-frozen in liquid nitrogen and stored at −80° C.

Another experiment was completed with seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in trays and left at 4° C. for 4 days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr. dark) conditions, 13,000 LUX light intensity, 70% humidity, 20° C. temperature and watered twice a week with 1 L 1× Hoagland's solution (recipe recited in Feldmann et al., (1987) Mol. Gen. Genet. 208: 1-9 and described as complete nutrient solution). Approximately 1,000 14 day old plants were spayed with 200-250 mls of 0.1 μM Epi-Brassinolite in 0.02% solution of the detergent Silwet L-77. At 1 hr. and 6 hrs. after treatment aerial tissues were harvested within a 15 to 20 minute time period and flash-frozen in liquid nitrogen.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 0.1 μM epi-brassinolide for treatment. Control plants were treated with distilled deionized water. After 24 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(k) Gibberillic Acid

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in trays and left at 4° C. for 4 days to vernalize. They were then transferred to a growth chamber having 16 hr light/8 hr. dark, 13,000 LUX, 70% humidity, 20° C. and watered twice a week with 1 L of 1× Hoagland's solution. Approximately 1,000 14 day old plants were spayed with 200-250 mls of 100 μM gibberillic acid in a 0.02% solution of the detergent Silwet L-77. At 1 hr. and 6 hrs. after treatment, aerial tissues (everything above the soil line) were harvested within a 15 to 20 minute time period, flash-frozen in liquid nitrogen and stored at −80° C.

Alternatively, seeds of Arabidopsis thaliana (ecotype Ws) were sown in Metro-mix soil type 350 and left at 4° C. for 3 days to vernalize. They were then transferred to a growth chamber having 16 hr light/8 hr dark, 13,000 LUX, 80% humidity, 20° C. temperature and watered every four days with 1.5 L water. 14 days after germination, plants were sprayed with 100 μM gibberillic acid or with water. Aerial tissues were harvested 1 hr (EXPT REP: 108484), 6 hrs (EXPT REP: 108485), 12 hrs (EXPT REP: 108486), and 24 hrs post-treatment, flash frozen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 100 μM gibberillic acid for treatment. Control plants were treated with water. After 1 hr, 6 hr and 12 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(l) Nitrogen: High to Low

Wild type Arabidopsis thaliana seeds (ecotpye Ws) were surface sterilized with 30% Clorox, 0.1% Triton X-100 for 5 minutes. Seeds were then rinsed with 4-5 exchanges of sterile double distilled deionized water. Seeds were vernalized at 4° C. for 2-4 days in darkness. After cold treatment, seeds were plated on modified 1×MS media (without NH₄NO₃ or KNO₃), 0.5% sucrose, 0.5 g/L MES pH5.7, 1% phytagar and supplemented with KNO₃ to a final concentration of 60 mM (high nitrate modified 1×MS media). Plates were then grown for 7 days in a Percival growth chamber at 22° C. with 16 hr. light/8 hr dark.

Germinated seedlings were then transferred to a sterile flask containing 50 mL of high nitrate modified 1×MS liquid media. Seedlings were grown with mild shaking for 3 additional days at 22° C. in 16 hr. light/8 hr dark (in a Percival growth chamber) on the high nitrate modified 1×MS liquid media.

After three days of growth on high nitrate modified 1×MS liquid media, seedlings were transferred either to a new sterile flask containing 50 mL of high nitrate modified 1×MS liquid media or to low nitrate modified 1×MS liquid media (containing 20 □M KNO₃). Seedlings were grown in these media conditions with mild shaking at 22° C. in 16 hr light/8 hr dark for the appropriate time points and whole seedlings harvested for total RNA isolation via the Trizol method (LifeTech). The time points used for the microarray experiments were 10 min. (EXPT REP: 108454) and 1 hour (EXPT REP: 108455) time points for both the high and low nitrate modified 1×MS media.

Alternatively, seeds that were surface sterilized in 30% bleach containing 0.1% Triton X-100 and further rinsed in sterile water, were planted on MS agar, (0.5% sucrose) plates containing 50 mM KNO₃ (potassium nitrate). The seedlings were grown under constant light (3500 LUX) at 22° C. After 12 days, seedlings were transferred to MS agar plates containing either 1 mM KNO₃ or 50 mM KNO₃. Seedlings transferred to agar plates containing 50 mM KNO₃ were treated as controls in the experiment. Seedlings transferred to plates with 1 mM KNO₃ were rinsed thoroughly with sterile MS solution containing 1 mM KNO₃. There were ten plates per transfer. Root tissue was collected and frozen in 15 mL Falcon tubes at various time points which included 1 hour, 2 hours, 3 hours, 4 hours, 6 hours, 9 hours, 12 hours, 16 hours, and 24 hours.

Maize 35A19 Pioneer hybrid seeds were sown on flats containing sand and grown in a Conviron growth chamber at 25° C., 16 hr light/8 hr dark, ˜13,000 LUX and 80% relative humidity. Plants were watered every three days with double distilled deionized water. Germinated seedlings are allowed to grow for 10 days and were watered with high nitrate modified 1×MS liquid media (see above). On day 11, young corn seedlings were removed from the sand (with their roots intact) and rinsed briefly in high nitrate modified 1×MS liquid media. The equivalent of half a flat of seedlings were then submerged (up to their roots) in a beaker containing either 500 mL of high or low nitrate modified 1×MS liquid media (see above for details).

At appropriate time points, seedlings were removed from their respective liquid media, the roots separated from the shoots and each tissue type flash frozen in liquid nitrogen and stored at −80° C. This was repeated for each time point. Total RNA was isolated using the Trizol method (see above) with root tissues only.

Corn root tissues isolated at the 4 hr and 16 hr time points were used for the microarray experiments. Both the high and low nitrate modified 1×MS media were used.

(m) Nitrogen: Low to High

Arabidopsis thaliana ecotype Ws seeds were sown on flats containing 4 L of a 1:2 mixture of Grace Zonolite vermiculite and soil. Flats were watered with 3 L of water and vernalized at 4° C. for five days. Flats were placed in a Conviron growth chamber having 16 hr light/8 hr dark at 20° C., 80% humidity and 17,450 LUX. Flats were watered with approximately 1.5 L of water every four days. Mature, bolting plants (24 days after germination) were bottom treated with 2 L of either a control (100 mM mannitol pH 5.5) or an experimental (50 mM ammonium nitrate, pH 5.5) solution. Roots, leaves and siliques were harvested separately 30, 120 and 240 minutes after treatment, flash frozen in liquid nitrogen and stored at −80° C.

Hybrid maize seed (Pioneer hybrid 35A19) were aerated overnight in deionized water. Thirty seeds were plated in each flat, which contained 4 liters of Grace zonolite vermiculite. Two liters of water were bottom fed and flats were kept in a Conviron growth chamber with 16 hr light/8 hr dark at 20° C. and 80% humidity. Flats were watered with 1 L of tap water every three days. Five day old seedlings were treated as described above with 2 L of either a control (100 mM mannitol pH 6.5) solution or 1 L of an experimental (50 mM ammonium nitrate, pH 6.8) solution. Fifteen shoots per time point per treatment were harvested 10, 90 and 180 minutes after treatment, flash frozen in liquid nitrogen and stored at −80° C.

Alternatively, seeds of Arabidopsis thaliana (ecotype Wassilewskija) were left at 4° C. for 3 days to vernalize. They were then sown on vermiculite in a growth chamber having 16 hours light/8 hours dark, 12,000-14,000 LUX, 70% humidity, and 20° C. They were bottom-watered with tap water, twice weekly. Twenty-four days old plants were sprayed with either water (control) or 0.6% ammonium nitrate at 4 μL/cm² of tray surface. Total shoots and some primary roots were cleaned of vermiculite, flash-frozen in liquid nitrogen and stored at −80° C.

(n) Methyl Jasmonate

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in trays and left at 4° C. for 4 days to vernalize before being transferred to a growth chamber having 16 hr light/8 hr. dark, 13,000 LUX, 70% humidity, 20° C. temperature and watered twice a week with 1 L of a 1× Hoagland's solution. Approximately 1,000 14 day old plants were spayed with 200-250 mls of 0.001% methyl jasmonate in a 0.02% solution of the detergent Silwet L-77. At 1 hr and 6 hrs after treatment, whole, seedlings, including roots, were harvested within a 15 to 20 minute time period, flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 0.001% methyl jasmonate for treatment. Control plants were treated with water. After 24 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(o) Salicylic Acid

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in trays and left at 4° C. for 4 days to vernalize before being transferred to a growth chamber having 16 hr light/8 hr. dark, 13,000 LUX, 70% humidity, 20° C. temperature and watered twice a week with 1 L of a 1× Hoagland's solution. Approximately 1,000 14 day old plants were spayed with 200-250 mls of 5 mM salicylic acid (solubilized in 70% ethanol) in a 0.02% solution of the detergent Silwet L-77. At 1 hr and 6 hrs after treatment, whole seedlings, including roots, were harvested within a 15 to 20 minute time period flash-frozen in liquid nitrogen and stored at −80° C.

Alternatively, seeds of wild-type Arabidopsis thaliana (ecotype Columbia) and mutant CS3726 were sown in soil type 200 mixed with osmocote fertilizer and Marathon insecticide and left at 4° C. for 3 days to vernalize. Flats were incubated at room temperature with continuous light. Sixteen days post germination plants were sprayed with 2 mM SA, 0.02% SilwettL-77 or control solution (0.02% SilwettL-77. Aerial parts or flowers were harvested 1 hr (EXPT REP: 108471 and 108472), 4 hr (EXPT REP: 108469 and 108470), 6 hr (EXPT REP: 108440), 24 hr (EXPT REP: 108443, 107953 and 107960) and 3 weeks (EXPT REP: 108475, 108476) post-treatment flash frozen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 2 mM SA for treatment. Control plants were treated with water. After 12 hr and 24 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(p) Wounding

Seeds of Arabidopsis thaliana (Wassilewskija) were sown in trays and left at 4° C. for three days to vernalize before being transferred to a growth chamber having 16 hr light/8 hr dark, 12,000-14,000 LUX, 70% humidity and 20° C. After 14 days, the leaves were wounded with forceps. Aerial tissues were harvested 1 hour and 6 hours after wounding. Aerial tissues from unwounded plants served as controls. Tissues were flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were wounded (one leaf nicked by scissors) and placed in 1-liter beakers of water for treatment. Control plants were treated not wounded. After 1 hr and 6 hr aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(q) Drought Stress

Seeds of Arabidopsis thaliana (Wassilewskija) were sown in pots and left at 4° C. for three days to vernalize before being transferred to a growth chamber having 16 hr light/8 hr dark, 150,000-160,000 LUX, 20° C. and 70% humidity. After 14 days, aerial tissues were cut and left to dry on 3MM Whatman paper in a petri-plate for 1 hour and 6 hours. Aerial tissues exposed for 1 hour and 6 hours to 3 MM Whatman paper wetted with 1× Hoagland's solution served as controls. Tissues were harvested, flash-frozen in liquid nitrogen and stored at −80° C.

Alternatively, Arabidopsis thaliana (Ws) seed was vernalized at 4° C. for 3 days before sowing in Metromix soil type 350. Flats were placed in a growth chamber with 23° C., 16 hr light/8 hr. dark, 80% relative humidity, ˜13,000 LUX for germination and growth. Plants were watered with 1-1.5 L of water every four days. Watering was stopped 16 days after germination for the treated samples, but continued for the control samples. Rosette leaves and stems (EXPT REP 108477, 108482 and 108483), flowers (see EXPT REP: 108473, 108474) and siliques were harvested 2 d, 3 d, 4 d, 5 d, 6 d and 7 d (EXPT REP: 108473) after watering was stopped. Tissue was flash frozen in liquid nitrogen and kept at −80° C. until RNA was isolated. Flowers and siliques were also harvested on day 8 from plants that had undergone a 7 d drought treatment followed by 1 day of watering (EXPT REP: 108474). Control plants (whole plants) were harvested after 5 weeks, flash frozen in liquid nitrogen and stored as above.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in empty 1-liter beakers at room temperature for treatment. Control plants were placed in water. After 1 hr, 6 hr, 12 hr and 24 hr aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(r) Osmotic Stress

Seeds of Arabidopsis thaliana (Wassilewskija) were sown in trays and left at 4° C. for three days to vernalize before being transferred to a growth chamber having 16 hr light/8 hr dark, 12,000-14,000 LUX, 20° C., and 70% humidity. After 14 days, the aerial tissues were cut and placed on 3 MM Whatman paper in a petri-plate wetted with 20% PEG (polyethylene glycol-M_r 8,000) in 1× Hoagland's solution. Aerial tissues on 3 MM Whatman paper containing 1× Hoagland's solution alone served as the control. Aerial tissues were harvested at 1 hour and 6 hours after treatment, flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 20% PEG (polyethylene glycol-M_r 8,000) for treatment. Control plants were treated with water. After 1 hr and 6 hr aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 150 mM NaCl for treatment. Control plants were treated with water. After 1 hr, 6 hr, and 24 hr aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(s) Heat Shock Treatment

Seeds of Arabidopsis thaliana (Wassilewskija) were sown in trays and left at 4° C. for three days to vernalize before being transferred to a growth chamber with 16 hr light/8 hr dark, 12,000-14,000 LUX, 70% humidity and 20° C., fourteen day old plants were transferred to a 42° C. growth chamber and aerial tissues were harvested 1 hr and 6 hr after transfer. Control plants were left at 20° C. and aerial tissues were harvested. Tissues were flashfrozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers containing 42° C. water for treatment. Control plants were treated with water at 25° C. After 1 hr and 6 hr aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(t) Cold Shock Treatment

Seeds of Arabidopsis thaliana (Wassilewskija) were sown in trays and left at 4° C. for three days to vernalize before being transferred to a growth chamber having 16 hr light/8 hr dark, 12,000-14,000 LUX, 20° C. and 70% humidity. Fourteen day old plants were transferred to a 4° C. dark growth chamber and aerial tissues were harvested 1 hour and 6 hours later. Control plants were maintained at 20° C. and covered with foil to avoid exposure to light. Tissues were flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers containing 4° C. water for treatment. Control plants were treated with water at 25° C. After 1 hr and 6 hr aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(u) Oxidative Stress—Hydrogen Peroxide Treatment

Seeds of Arabidopsis thaliana (Wassilewskija) were sown in trays and left at 4° C. for three days to vernalize. Before being transferred to a growth chamber having 16 hr light/8 hr dark, 12,000-14,000 LUX, 20° C. and 70% humidity. Fourteen day old plants were sprayed with 5 mM H₂O₂ (hydrogen peroxide) in a 0.02% Silwett L-77 solution. Control plants were sprayed with a 0.02% Silwett L-77 solution. Aerial tissues were harvested 1 hour and 6 hours after spraying, flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 5 mM H₂O₂ for treatment. Control plants were treated with water. After 1 hr, 6 hr and 24 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(v) Nitric Oxide Treatment

Seeds of Arabidopsis thaliana (Wassilewskija) were sown in trays and left at 4° C. for three days to vernalize before being transferred to a growth chamber having 16 hr light/8 hr dark, 12,000-14,000 LUX, 20° C. and 70% humidity. Fourteen day old plants were sprayed with 5 mM sodium nitroprusside in a 0.02% Silwett L-77 solution. Control plants were sprayed with a 0.02% Silwett L-77 solution. Aerial tissues were harvested 1 hour and 6 hours after spraying, flash-frozen in liquid nitrogen and stored at −80° C.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 7 days. Seedlings were carefully removed from the sand and placed in 1-liter beakers with 5 mM nitroprusside for treatment. Control plants were treated with water. After 1 hr, 6 hr and 12 hr, aerial and root tissues were separated and flash frozen in liquid nitrogen prior to storage at −80° C.

(w) S4 Immature Buds, Inflorescence Meristem

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. Inflorescences containing immature floral buds [stages 1-12; Smyth et al., 1990] as well as the inflorescence meristem were harvested and flash frozen in liquid nitrogen.

(x) S5 Flowers (Opened)

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. Mature, unpollinated flowers [stages 12-14; Smyth et al. 1990] were harvested and flash frozen in liquid nitrogen.

(y) S6 Siliques (All Stages)

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. Siliques bearing developing seeds containing post fertilization through pre-heart stage [0-72 hours after fertilization (HAF)], heart-through early curled cotyledon stage [72-120 HAF] and late-curled cotyledon stage [>120 HAF] embryos were harvested separately and pooled prior to RNA isolation in a mass ratio of 1:1:1. The tissues were then flash frozen in liquid nitrogen. Description of the stages of Arabidopsis embryogenesis used were reviewed by Bowman (1994).

(z) Arabidopsis Endosperm

mea/mea Fruits 0-10 mm

Seeds of Arabidopsis thaliana heterozygous for the fertilization-independent endosperm1 (fie1) [Ohad et al., 1996; ecotype Landsberg erecta (Ler)] were sown in pots and left at 4° C. for two to three days to vernalize. Kiyosue et al. (1999) subsequently determined that fie1 was allelic to the gametophytic maternal effect mutant medea (Grossniklaus et al., 1998). Imbibed seeds were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 1-2 siliques (fruits) bearing developing seeds just prior to dessication [9 days after flowering (DAF)] were selected from each plant and were hand-dissected to identify wild-type, mea/+ heterozygotes, and mea/mea homozygous mutant plants. At this stage, homozygous mea/mea plants produce short siliques that contain >70% aborted seed and can be distinguished from those produced by wild-type (100% viable seed) and mea/+ heterozygous (50% viable seed) plants (Ohad et al., 1996; Grossniklaus et al., 1998; Kiyosue et al., 1999). Siliques 0-10 mm in length containing developing seeds 0-9 DAF produced by homozygous mea/mea plants were harvested and flash frozen in liquid nitrogen.

Pods 0-10 mm (Control Tissue for Sample 70)

Seeds of Arabidopsis thaliana heterozygous for the fertilization-independent endosperm1 (fie1) [Ohad et al., 1996; ecotype Landsberg erecta (Ler)] were sown in pots and left at 4° C. for two to three days to vernalize. Kiyosue et al. (1999) subsequently determined that fie1 was allelic to the gametophytic maternal effect mutant medea (Grossniklaus et al., 1998). Imbibed seeds were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 1-2 siliques (fruits) bearing developing seeds just prior to dessication [9 days after flowering (DAF)] were selected from each plant and were hand-dissected to identify wild-type, mea/+ heterozygotes, and mea/mea homozygous mutant plants. At this stage, homozygous mea/mea plants produce short siliques that contain >70% aborted seed and can be distinguished from those produced by wild-type (100% viable seed) and mea/+ heterozygous (50% viable seed) plants (Ohad et al., 1996; Grossniklaus et al., 1998; Kiyosue et al., 1999). Siliques 0-10 mm in length containing developing seeds 0-9 DAF produced by segregating wild-type plants were opened and the seeds removed. The remaining tissues (pods minus seed) were harvested and flash frozen in liquid nitrogen.

(aa) Arabidopsis Seeds

Fruits (Pod+Seed) 0-5 mm

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 3-4 siliques (fruits) bearing developing seeds were selected from at least 3 plants and were hand-dissected to determine what developmental stage(s) were represented by the enclosed embryos. Description of the stages of Arabidopsis embryogenesis used in this determination were summarized by Bowman (1994). Silique lengths were then determined and used as an approximate determinant for embryonic stage. Siliques 0-5 mm in length containing post fertilization through pre-heart stage [0-72 hours after fertilization (HAF)] embryos were harvested and flash frozen in liquid nitrogen.

Fruits (Pod+Seed) 5-10 mm

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 3-4 siliques (fruits) bearing developing seeds were selected from at least 3 plants and were hand-dissected to determine what developmental stage(s) were represented by the enclosed embryos. Description of the stages of Arabidopsis embryogenesis used in this determination were summarized by Bowman (1994). Silique lengths were then determined and used as an approximate determinant for embryonic stage. Siliques 5-10 mm in length containing heart-through early upturned-U-stage [72-120 hours after fertilization (HAF)] embryos were harvested and flash frozen in liquid nitrogen.

Fruits (Pod+Seed)>10 mm

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 3-4 siliques (fruits) bearing developing seeds were selected from at least 3 plants and were hand-dissected to determine what developmental stage(s) were represented by the enclosed embryos. Description of the stages of Arabidopsis embryogenesis used in this determination were summarized by Bowman (1994). Silique lengths were then determined and used as an approximate determinant for embryonic stage. Siliques >10 mm in length containing green, late upturned-U-stage [>120 hours after fertilization (HAF)-9 days after flowering (DAF)] embryos were harvested and flash frozen in liquid nitrogen.

Green Pods 5-10 mm (Control Tissue for Samples 72-74)

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 3-4 siliques (fruits) bearing developing seeds were selected from at least 3 plants and were hand-dissected to determine what developmental stage(s) were represented by the enclosed embryos. Description of the stages of Arabidopsis embryogenesis used in this determination were summarized by Bowman (1994). Silique lengths were then determined and used as an approximate determinant for embryonic stage. Green siliques 5-10 mm in length containing developing seeds 72-120 hours after fertilization (HAF)] were opened and the seeds removed. The remaining tissues (green pods minus seed) were harvested and flash frozen in liquid nitrogen.

Green Seeds from Fruits >10 mm

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 3-4 siliques (fruits) bearing developing seeds were selected from at least 3 plants and were hand-dissected to determine what developmental stage(s) were represented by the enclosed embryos. Description of the stages of Arabidopsis embryogenesis used in this determination were summarized by Bowman (1994). Silique lengths were then determined and used as an approximate determinant for embryonic stage. Green siliques >10 mm in length containing developing seeds up to 9 days after flowering (DAF)] were opened and the seeds removed and harvested and flash frozen in liquid nitrogen.

Brown Seeds from Fruits >10 mm

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 3-4 siliques (fruits) bearing developing seeds were selected from at least 3 plants and were hand-dissected to determine what developmental stage(s) were represented by the enclosed embryos. Description of the stages of Arabidopsis embryogenesis used in this determination were summarized by Bowman (1994). Silique lengths were then determined and used as an approximate determinant for embryonic stage. Yellowing siliques >10 mm in length containing brown, dessicating seeds >11 days after flowering (DAF)] were opened and the seeds removed and harvested and flash frozen in liquid nitrogen.

Green/Brown Seeds from Fruits >10 mm

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature. 3-4 siliques (fruits) bearing developing seeds were selected from at least 3 plants and were hand-dissected to determine what developmental stage(s) were represented by the enclosed embryos. Description of the stages of Arabidopsis embryogenesis used in this determination were summarized by Bowman (1994). Silique lengths were then determined and used as an approximate determinant for embryonic stage. Green siliques >10 mm in length containing both green and brown seeds >9 days after flowering (DAF)] were opened and the seeds removed and harvested and flash frozen in liquid nitrogen.

Mature Seeds (24 Hours After Imbibition)

Mature dry seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown onto moistened filter paper and left at 4° C. for two to three days to vernalize. Imbibed seeds were then transferred to a growth chamber [16 hr light: 8 hr dark conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature], the emerging seedlings harvested after 48 hours and flash frozen in liquid nitrogen.

Mature Seeds (Dry)

Seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 70% humidity, and 22° C. temperature and taken to maturity. Mature dry seeds are collected, dried for one week at 28° C., and vernalized for one week at 4° C. before used as a source of RNA.

Ovules

Seeds of Arabidopsis thaliana heterozygous for pistillata (pi) [ecotype Landsberg erecta (Ler)] were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light: 8 hr dark) conditions, 7000-8000 LUX light intensity, 76% humidity, and 24° C. temperature. Inflorescences were harvested from seedlings about 40 days old. The inflorescences were cut into small pieces and incubated in the following enzyme solution (pH 5) at room temperature for 0.5-1 hr.: 0.2% pectolyase Y-23, 0.04% pectinase, 5 mM MES, 3% Sucrose and MS salts (1900 mg/l KNO₃, 1650 mg/l NH₄NO₃, 370 mg/l MgSO₄.7H₂O, 170 mg/l KH₂PO₄, 440 mg/l CaCl₂.2H₂O, 6.2 mg/l H₂BO₃, 15.6 mg/l MnSO₄.4H₂O, 8.6 mg/l ZnSO₄.7H₂O, 0.25 mg/l NaMoO₄.2H₂O, 0.025 mg/l CuCO₄.5H₂O, 0.025 mg/l CoCl₂.6H₂O, 0.83 mg/l KI, 27.8 mg/l FeSO₄.7H₂O, 37.3 mg/l Disodium EDTA, pH 5.8). At the end of the incubation the mixture of inflorescence material and enzyme solution was passed through a size 60 sieve and then through a sieve with a pore size of 125 μm. Ovules greater than 125 μm in diameter were collected, rinsed twice in B5 liquid medium (2500 mg/l KNO₃, 250 mg/l MgSO₄.7H₂O, 150 mg/l NaH2PO₄.H₂O, 150 mg/l CaCl₂.2H₂O, 134 mg/l (NH₄)₂ CaCl₂.SO₄, 3 mg/l H₂BO₃, 10 mg/l MnSO₄.4H₂O, 2 ZnSO₄.7H₂O, 0.25 mg/l NaMoO₄.2H₂O, 0.025 mg/l CuCO₄.5H₂O, 0.025 mg/l CoCl₂.6H₂O, 0.75 mg/l KI, 40 mg/l EDTA sodium ferric salt, 20 g/l sucrose, 10 mg/l Thiamine hydrochloride, 1 mg/l Pyridoxine hydrochloride, 1 mg/l Nicotinic acid, 100 mg/l myo-inositol, pH 5.5)), rinsed once in deionized water and flash frozen in liquid nitrogen. The supernatant from the 125 μm sieving was passed through subsequent sieves of 50 μm and 32 μm. The tissue retained in the 32 μm sieve was collected and mRNA prepared for use as a control.

(bb) Herbicide Treatment

Arabidopsis thaliana (Ws) seeds were sterilized for 5 min. with 30% bleach, 50 μl Triton in a total volume of 50 ml. Seeds were vernalized at 4° C. for 3 days before being plated onto GM agar plates at a density of about 144 seeds per plate. Plates were incubated in a Percival growth chamber having 16 hr light/8 hr dark, 80% relative humidity, 22° C. and 11,000 LUX for 14 days.

Plates were sprayed (˜0.5 mls/plate) with water, Finale (1.128 g/L), Glean (1.88 g/L), RoundUp (0.01 g/L) or Trimec (0.08 g/L). Tissue was collected and flash frozen in liquid nitrogen at the following time points: 0, 1, 2, 4 (EXPT REP: 107871 (Finale), 107881 (Glean), 107896 (Round-up) and 107886 (Trimec)), 8, 12 (EXPT REP: 108467 (Finale), 108468 (Glean), 108465 (Round-up) and 108466, 107891 (Trimec)), and 24 hours. Frozen tissue was stored at −80° C. prior to RNA isolation.

(cc) Ap2

Seeds of Arabidopsis thaliana (ecotype Landesberg erecta) and floral mutant apetala2 (Jofuku et al., 1994, Plant Cell 6:1211-1225) were sown in pots and left at 4° C. for two to three days to vernalize. They were then transferred to a growth chamber. Plants were grown under long-day (16 hr light, 8 hr dark) conditions 7000-8000 LUX light intensity, 70% humidity and 22° C. temperature. Inflorescences containing immature floral buds (stages 1-7; Bowman, 1994) as wel as the inflorescence meristem were harvested and flashfrozen. Polysomal polyA+ RNA was isolated from tissue according to Cox and Goldberg, 1988).

(dd) Protein Degradation

Arabidopsis thaliana (ecotype Ws) wild-type and 13B12-1 (homozygous) mutant seed were sown in pots containing Metro-mix 350 soil and incubated at 4° C. for four days. Vernalized seeds were germinated in the greenhouse (16 hr light/8 hr dark) over a 7 day period. Mutant seedlings were sprayed with 0.02% (active ingredient) Finale to confirm their transgenic standing. Plants were grown until the mutant phenotype (either multiple pistils in a single flower and/or multiple branching per node) was apparent. Young inflorescences immediately forming from the multiple-branched stems were cut and flash frozen in liquid nitrogen. Young inflorescences from wild-type plants grown in parallel and under identical conditions were collected as controls. All collected tissue was stored at −80° C. until RNA isolation. (EXPT REP 108451)

(ee) Root Tips

Seeds of Arabidopsis thaliana (ecotye Ws) were placed on MS plates and vernalized at 4° C. for 3 days before being placed in a 25° C. growth chamber having 16 hr light/8 hr dark, 70% relative humidity and about 3 W/m². After 6 days, young seedlings were transferred to flasks containing B5 liquid medium, 1% sucrose and 0.05 mg/l indole-3-butyric acid. Flasks were incubated at room temperature with 100 rpm agitation. Media was replaced weekly. After three weeks, roots were harvested and incubated for 1 hr with 2% pectinase, 0.2% cellulase, pH 7 before straining through a #80 (Sigma) sieve. The root body material remaining on the sieve (used as the control) was flash frozen and stored at −80° C. until use. The material that passed through the #80 sieve was strained through a #200 (Sigma) sieve and the material remaining on the sieve (root tips) was flash frozen and stored at −80° C. until use. Approximately 10 mg of root tips were collected from one flask of root culture.

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. Covered flats were watered every three days for 8 days. Seedlings were carefully removed from the sand and the root tips (˜2 mm long) were removed and flash frozen in liquid nitrogen prior to storage at −80° C. The tissues above the root tips (˜1 cm long) were cut, treated as above and used as control tissue.

(ff) rt1

The rt1 allele is a variation of rt1 rootless1 and is recessive. Plants displaying the rt1 phenotype have few or no secondary roots.

Seed from plants segregating for rt1 were sown on sand and placed in a growth chamber having 16 hr light/8 hr dark, 13,000 LUX, 70% humidity and 20° C. temperature. Plants were watered every three days with tap water. Eleven (11) day old seedlings were carefully removed from the sand, keeping the roots intact. rt1-type seedlings were separated from their wild-type counterparts and the root tissue isolated. Root tissue from normal seedlings (control) and rtl mutants were flash frozen in liquid nitrogen and stored at −80° C. until use.

(gg) Imbibed Seed

Seeds of maize hybrid 35A (Pioneer) were sown in water-moistened sand in covered flats (10 rows, 5-6 seed/row) and covered with clear, plastic lids before being placed in a growth chamber having 16 hr light (25° C.)/8 hr dark (20° C.), 75% relative humidity and 13,000-14,000 LUX. One day after sowing, whole seeds were flash frozen in liquid nitrogen prior to storage at −80° C. Two days after sowing, embryos and endosperm were isolated and flash frozen in liquid nitrogen prior to storage at −80° C. On days 3-6, aerial tissues, roots and endosperm were isolated and flash frozen in liquid nitrogen prior to storage at −80° C.

(hh) Rough Sheath2-R (rs2-R) Mutants (1400-6/S-17)

This experiment was conducted to identify abnormally expressed genes in the shoot apex of rough sheath2-R (rs2-R) mutant plants. rs2 encodes a myb domain DNA binding protein that functions in repression of several shoot apical meristem expressed homeobox genes. Two homeobox gene targets are known for rs2 repression, rough sheath1, liguleless 3. The recessive loss of function phenotype of rs2-R homozygous plants is described in Schneeberger et al. 1998 Development 125: 2857-2865.

The seed stock genetically segregates 1:1 for rs2-R/rs2-R:rs2-R/+

Preparation of tissue samples: 160 seedlings pooled from 2 and 3 week old plants grown in sand. Growth conditions; Conviron #107 @ 12 hr days/12 hr night, 25° C., 75% humidity. Shoot apex was dissected to include leaf three and older. (Pictures available upon request).

1) rough sheath2-R homozygous (mutant) shoot apex2) rough sheath2-R heterozygous (wt, control) shoot apex

(ii) Leaf Mutant 3642:

Mutant 3642 is a recessive mutation that causes abnormal leaf development. The leaves of mutant 3642 plants are characterized by leaf twisting and irregular leaf shape. Mutant 3642 plants also exhibit abnormally shaped floral organs which results in reduced fertility.

Seed segregating for the mutant phenotype was sown in Metro-mix 350 soil and grown in a Conviron growth chamber with watering by sub-irrigation twice a week. Environmental conditions were set at 20 degrees Celsius, 70% humidity with an 8 hour day, 16 hour night light regime. Plants were harvested after 4 weeks of growth and the entire aerial portion of the plant was harvested and immediately frozen in liquid nitrogen and stored at −80 C. Mutant phenotype plants were harvested separately from normal phenotype plants, which serve as the control tissue.

(jj) Flowers (Green, White or Buds)

Approximately 10 μl of Arabidopsis thaliana seeds (ecotype Ws) were sown on 350 soil (containing 0.03% marathon) and vernalized at 4 C for 3 days. Plants were then grown at room temperature under fluorescent lighting until flowering. Flowers were harvested after 28 days in three different categories. Buds that had not opened at all and were completely green were categorized as “flower buds” (also referred to as green buds by the investigator). Buds that had started to open, with white petals emerging slightly were categorized as “green flowers” (also referred to as white buds by the investigator). Flowers that had opened mostly (with no silique elongation) with white petals completely visible were categorized as “white flowers” (also referred to as open flowers by the investigator). Buds and flowers were harvested with forceps, flash frozen in liquid nitrogen and stored at −80 C until RNA was isolated.

2. Microarray Hybridization Procedures

Microarray technology provides the ability to monitor mRNA transcript levels of thousands of genes in a single experiment. These experiments simultaneously hybridize two differentially labeled fluorescent cDNA pools to glass slides that have been previously spotted with cDNA clones of the same species. Each arrayed cDNA spot will have a corresponding ratio of fluorescence that represents the level of disparity between the respective mRNA species in the two sample pools. Thousands of polynucleotides can be spotted on one slide, and each experiment generates a global expression pattern.

Coating Slides

The microarray consists of a chemically coated microscope slide, referred herein as a “chip” with numerous polynucleotide samples arrayed at a high density. The poly-L-lysine coating allows for this spotting at high density by providing a hydrophobic surface, reducing the spreading of spots of DNA solution arrayed on the slides. Glass microscope slides (Gold Seal #3010 manufactured by Gold Seal Products, Portsmouth, N.H., USA) were coated with a 0.1% W/V solution of Poly-L-lysine (Sigma, St. Louis, Mo.) using the following protocol:

1. Slides were placed in slide racks (Shandon Lipshaw #121). The racks were then put in chambers (Shandon Lipshaw #121).2. Cleaning solution was prepared:

70 g NaOH was dissolved in 280 mL ddH₂O.

420 mL 95% ethanol was added. The total volume was 700 mL (=2×350 mL); it was stirred until completely mixed.

If the solution remained cloudy, ddH₂O was added until clear.

3. The solution was poured into chambers with slides; the chambers were covered with glass lids. The solution was mixed on an orbital shaker for 2 hr.4. The racks were quickly transferred to fresh chambers filled with ddH₂O. They were rinsed vigorously by plunging racks up and down.

Rinses were repeated 4× with fresh ddH₂O each time, to remove all traces of NaOH-ethanol.

5. Polylysine solution was prepared:

0 mL poly-L-lysine+70 mL tissue culture PBS in 560 mL water, using plastic graduated cylinder and beaker.

6. Slides were transferred to polylysine solution and shaken for 1 hr.7. The rack was transferred to a fresh chambers filled with ddH₂O. It was plunged up and down 5× to rinse.8. The slides were centrifuged on microtiter plate carriers (paper towels were placed below the rack to absorb liquid) for 5 min. @ 500 rpm. The slide racks were transferred to empty chambers with covers.9. Slide racks were dried in a 45 C oven for 10 min.10. The slides were stored in a closed plastic slide box.11. Normally, the surface of lysine coated slides was not very hydrophobic immediately after this process, but became increasingly hydrophobic with storage. A hydrophobic surface helped ensure that spots didn't run together while printing at high densities. After they aged for 10 days to a month the slides were ready to use. However, coated slides that have been sitting around for long periods of time were usually too old to be used. This was because they developed opaque patches, visible when held to the light, and these resulted in high background hybridization from the fluorescent probe.

Alternatively, precoated glass slides were purchased from TeleChem Internation, Inc. (Sunnyvale, Calif., 94089; catalog number SMM-25, Superamine substrates).

PCR Amplification of cDNA Clone Inserts

Polynucleotides were amplified from Arabidopsis cDNA clones using insert specific probes. The resulting 100 uL PCR reactions were purified with Qiaquick 96 PCR purification columns (Qiagen, Valencia, Calif., USA) and eluted in 30 uL of 5 mM Tris. 8.5 uL of the elution were mixed with 1.5 uL of 20×SSC to give a final spotting solution of DNA in 3×SSC. The concentrations of DNA generated from each clone varied between 10-100 ng/ul, but were usually about 50 ng/ul.

Arraying of PCR Products on Glass Slides

PCR products from cDNA clones were spotted onto the poly-L-Lysine coated glass slides using an arrangement of quill-tip pins (ChipMaker 3 spotting pins; Telechem, International, Inc., Sunnyvale, Calif., USA) and a robotic arrayer (PixSys 3500, Cartesian Technologies, Irvine, Calif., USA). Around 0.5 nl of a prepared PCR product was spotted at each location to produce spots with approximately 100 um diameters. Spot center-to-center spacing was from 180 um to 210 um depending on the array. Printing was conducted in a chamber with relative humidity set at 50%.

Slides containing maize sequences were purchased from Agilent Technology (Palo Alto, Calif. 94304).

Post-Processing of Slides

After arraying, slides were processed through a series of steps—rehydration, UV cross-linking, blocking and denaturation—required prior to hybridization. Slides were rehydrated by placing them over a beaker of warm water (DNA face down), for 2-3 sec, to distribute the DNA more evenly within the spots, and then snap dried on a hot plate (DNA side, face up). The DNA was then cross-linked to the slides by UV irradiation (60-65 mJ; 2400 Stratalinker, Stratagene, La Jolla, Calif., USA).

Following this a blocking step was performed to modify remaining free lysine groups, and hence minimize their ability to bind labeled probe DNA. To achieve this the arrays were placed in a slide rack. An empty slide chamber was left ready on an orbital shaker. The rack was bent slightly inwards in the middle, to ensure the slides would not run into each other while shaking. The blocking solution was prepared as follows:

3×350-ml glass chambers (with metal tops) were set to one side, and a large round Pyrex dish with dH₂O was placed ready in the microwave. At this time, 15 ml sodium borate was prepared in a 50 ml conical tube.6-g succinic anhydride was dissolved in approx. 325-350 mL 1-methyl-2-pyrrolidinone. Rapid addition of reagent was crucial.a. Immediately after the last flake of the succinic anhydride dissolved, the 15-mL sodium borate was added.b. Immediately after the sodium borate solution mixed in, the solution was poured into an empty slide chamber.c. The slide rack was plunged rapidly and evenly in the solution. It was vigorously shaken up and down for a few seconds, making sure slides never left the solution.d. It was mixed on an orbital shaker for 15-20 min. Meanwhile, the water in the Pyrex dish (enough to cover slide rack) was heated to boiling.

Following this, the slide rack was gently plunge in the 95 C water (just stopped boiling) for 2 min. Then the slide rack was plunged 5× in 95% ethanol. The slides and rack were centrifuged for 5 min. @ 500 rpm. The slides were loaded quickly and evenly onto the carriers to avoid streaking. The arrays were used immediately or store in slide box.

The Hybridization process began with the isolation of mRNA from the two tissues (see “Isolation of total RNA” and “Isolation of mRNA”, below) in question followed by their conversion to single stranded cDNA (see “Generation of probes for hybridization”, below). The cDNA from each tissue was independently labeled with a different fluorescent dye and then both samples were pooled together. This final differentially labeled cDNA pool was then placed on a processed microarray and allowed to hybridize (see “Hybridization and wash conditions”, below).

Isolation of Total RNA

Approximately 1 g of plant tissue was ground in liquid nitrogen to a fine powder and transferred into a 50-ml centrifuge tube containing 10 ml of Trizol reagent. The tube was vigorously vortexed for 1 min and then incubated at room temperature for 10-20 min. on an orbital shaker at 220 rpm. Two ml of chloroform was added to the tube and the solution vortexed vigorously for at least 30-sec before again incubating at room temperature with shaking. The sample was then centrifuged at 12,000×g (10,000 rpm) for 15-20 min at 4° C. The aqueous layer was removed and mixed by inversion with 2.5 ml of 1.2 M NaCl/0.8 M Sodium Citrate and 2.5 ml of isopropyl alcohol added. After a 10 min. incubation at room temperature, the sample was centrifuged at 12,000×g (10,000 rpm) for 15 min at 4° C. The pellet was washed with 70% ethanol, re-centrifuged at 8,000 rpm for 5 min and then air dried at room temperature for 10 min. The resulting total RNA was dissolved in either TE (10 mM Tris-HCl, 1 mM EDTA, pH 8.0) or DEPC (diethylpyrocarbonate) treated deionized water (RNAse-free water). For subsequent isolation of mRNA using the Qiagen kit, the total RNA pellet was dissolved in RNAse-free water.

Isolation of mRNA

mRNA was isolated using the Qiagen Oligotex mRNA Spin-Column protocol (Qiagen, Valencia, Calif.). Briefly, 500 μl OBB buffer (20 mM Tris-Ci, pH 7.5, 1 M NaCl, 2 mM EDTA, 0.2% SDS) was added to 500 μl of total RNA (0.5-0.75 mg) and mixed thoroughly. The sample was first incubated at 70° C. for 3 min, then at room temperature for 10 minutes and finally centrifuged for 2 min at 14,000-18,000×g. The pellet was resuspended in 400 μl OW2 buffer (10 mM Tris-Cl, pH 7.5, 150 mM NaCl, 1 mM EDTA) by vortexing, the resulting solution placed on a small spin column in a 1.5 ml RNase-free microcentrifuge tube and centrifuged for 1 min at 14,000-18,000×g. The spin column was transferred to a new 1.5 ml RNase-free microcentrifuge tube and washed with 400 μl of OW2 buffer. To release the isolated mRNA from the resin, the spin column was again transferred to a new RNase-free 1.5 ml microcentrifuge tube, 20-100 μl 70° C. OEB buffer (5 mM Tris-Cl, pH 7.5) added and the resin resuspended in the resulting solution via pipeting. The mRNA solution was collected after centrifuging for 1 min at 14,000-18,000×g.

Alternatively, mRNA was isolated using the Stratagene Poly(A) Quik mRNA Isolation Kit (Startagene, La Jolla, Calif.). Here, up to 0.5 mg of total RNA (maximum volume of 1 ml) was incubated at 65° C. for 5 minutes, snap cooled on ice and 0.1× volumes of 10× sample buffer (10 mM Tris-HCl (pH 7.5), 1 mM EDTA (pH 8.0) 5 M NaCl) added. The RNA sample was applied to a prepared push column and passed through the column at a rate of ˜1 drop every 2 sec. The solution collected was reapplied to the column and collected as above. 200 μl of high salt buffer (10 mM Tris-HCl (pH 7.5), 1 mM EDTA, 0.5 NaCl) was applied to the column and passed through the column at a rate of ˜1 drop every 2 sec. This step was repeated and followed by three low salt buffer (10 mM Tris-HCl (pH 7.5), 1 mM EDTA, 0.1 M NaCl) washes preformed in a similar manner. mRNA was eluted by applying to the column four separate 200 μl aliquots of elution buffer (10 mM Tris-HCl (pH 7.5), 1 mM EDTA) preheated to 65° C. Here, the elution buffer was passed through the column at a rate of 1 drop/sec. The resulting mRNA solution was precipitated by adding 0.1× volumes of 10× sample buffer, 2.5 volumes of ice-cold 100% ethanol, incubating overnight at −20° C. and centrifuging at 14,000-18,000×g for 20-30 min at 4° C. The pellet was washed with 70% ethanol and air dried for 10 min. at room temperature before resuspension in RNase-free deionized water.

Preparation of Yeast Controls

Plasmid DNA was isolated from the following yeast clones using Qiagen filtered maxiprep kits (Qiagen, Valencia, Calif.): YAL022c(Fun26), YAL031c(Fun21), YBR032w, YDL131w, YDL182w, YDL194w, YDL196w, YDR050c and YDR116c. Plasmid DNA was linearized with either BsrBI (YAL022c(Fun26), YAL031c(Fun21), YDL131w, YDL182w, YDL194w, YDL196w, YDR050c) or AflIII (YBR032w, YDR116c) and isolated.

In Vitro Transcription of Yeast Clones

The following solution was incubated at 37° C. for 2 hours: 17 μl of isolated yeast insert DNA (1 μg), 20 μl 5× buffer, 10 μl 100 mM DTT, 2.5 μl (100 U) RNasin, 20 μl 2.5 mM (ea.) rNTPs, 2.7 μl (40 U) SP6 polymerase and 27.8 μl RNase-free deionized water. 2 μl (2 U) Ampli DNase I was added and the incubation continued for another 15 min. 10 μl 5M NH₄OAC and 100 μl phenol:chloroform:isoamyl alcohol (25:24:1) were added, the solution vortexed and then centrifuged to separate the phases. To precipitate the RNA, 250 μl ethanol was added and the solution incubated at −20° C. for at least one hour. The sample was then centrifuged for 20 min at 4° C. at 14,000-18,000×g, the pellet washed with 500 μl of 70% ethanol, air dried at room temperature for 10 min and resuspended in 100 μl of RNase-free deionized water. The precipitation procedure was then repeated.

Alternatively, after the two-hour incubation, the solution was extracted with phenol/chloroform once before adding 0.1 volume 3M sodium acetate and 2.5 volumes of 100% ethanol. The solution was centrifuged at 15,000 rpm, 4° C. for 20 minutes and the pellet resuspended in RNase-free deionized water. The DNase I treatment was carried out at 37° C. for 30 minutes using 2 U of Ampli DNase I in the following reaction condition: 50 mM Tris-HCl (pH 7.5), 10 mM MgCl₂. The DNase I reaction was then stopped with the addition of NH₄OAC and phenol:chloroform:isoamyl alcohol (25:24:1), and RNA isolated as described above.

0.15-2.5 ng of the in vitro transcript RNA from each yeast clone were added to each plant mRNA sample prior to labeling to serve as positive (internal) probe controls.

Generation of Probes for Hybridization

Generation of Labeled Probes for Hybridization from First-Strand cDNA

Hybridization probes were generated from isolated mRNA using an Atlas™ Glass Fluorescent Labeling Kit (Clontech Laboratories, Inc., Palo Alto, Calif., USA). This entails a two step labeling procedure that first incorporates primary aliphatic amino groups during cDNA synthesis and then couples fluorescent dye to the cDNA by reaction with the amino functional groups. Briefly, 5 μg of oligo(dT)₁₈ primer d(TTTTTTTTTTTTTTTTTTV) was mixed with Poly A+mRNA (1.5-2 μg mRNA isolated using the Qiagen-Oligotex mRNA Spin-Column protocol or the Stratagene Poly(A) Quik mRNA Isolation protocol (Stratagene, La Jolla, Calif., USA)) in a total volume of 25 μl. The sample was incubated in a thermocycler at 70° C. for 5 min, cooled to 48° C. and 10 μl of 5× cDNA Synthesis Buffer (kit supplied), 5 μl 10× dNTP mix (dATP, dCTP, dGTP, dTTP and aminoallyl-dUTP; kit supplied), 7.5 μl deionized water and 2.5 μl MMLV Reverse Transcriptase (500 U) added. The reaction was then incubated at 48° C. for 30 minutes, followed by 1 hr incubation at 42° C. At the end of the incubation the reaction was heated to 70° C. for 10 min, cooled to 37° C. and 0.5 μl (5 U) RNase H added, before incubating for 15 min at 37° C. The solution was vortexed for 1 min after the addition of 0.5 μl 0.5 M EDTA and 5 μl of QuickClean Resin (kit supplied) then centrifuged at 14,000-18,000×g for 1 min. After removing the supernatant to a 0.45 μm spin filter (kit supplied), the sample was again centrifuged at 14,000-18,000×g for 1 min, and 5.5 μl 3 M sodium acetate and 137.5 μl of 100% ethanol added to the sample before incubating at −20° C. for at least 1 hr. The sample was then centrifuged at 14,000-18,000×g at 4° C. for 20 min, the resulting pellet washed with 500 μl 70% ethanol, air-dried at room temperature for 10 min and resuspended in 10 μl of 2× fluorescent labeling buffer (kit provided). 10 μl each of the fluorescent dyes Cy3 and Cy5 (Amersham Pharmacia (Piscataway, N.J., USA); prepared according to Atlas™ kit directions of Clontech) were added and the sample incubated in the dark at room temperature for 30 min.

The fluorescently labeled first strand cDNA was precipitated by adding 2 μl 3M sodium acetate and 50 μl 100% ethanol, incubated at −20° C. for at least 2 hrs, centrifuged at 14,000-18,000×g for 20 min, washed with 70% ethanol, air-dried for 10 min and dissolved in 100 μl of water.

Alternatively, 3-4 μg mRNA, 2.5 (˜8.9 ng of in vitro translated mRNA) μl yeast control and 3 μg oligo dTV (TTTTTTTTTTTTTTTTTT(A/C/G); Sequence ID No.: X) were mixed in a total volume of 24.7 μl. The sample was incubated in a thermocycler at 70° C. for 10 min. before chilling on ice. To this, 8 μl of 5× first strand buffer (SuperScript II RNase H-Reverse Transcriptase kit from Invitrogen (Carlsbad, Calif. 92008); cat no. 18064022), 0.8° C. of aa-dUTP/dNTP mix (50×; 25 mM dATP, 25 mM dGTP, 25 mM dCTP, 15 mM dTTP, 10 mM aminoallyl-dUTP), 4 μl of 0.1 M DTT and 2.5 μl (500 units) of Superscript R.T.II enzyme (Stratagene) were added. The sample was incubated at 42° C. for 2 hours before a mixture of 10° C. of 1M NaOH and 10° C. of 0.5 M EDTA were added. After a 15 minute incubation at 65° C., 25 μl of 1 M Tris pH 7.4 was added. This was mixed with 450 μl of water in a Microcon 30 column before centrifugation at 11,000×g for 12 min. The column was washed twice with 450 μl (centrifugation at 11,000 g, 12 min.) before eluting the sample by inverting the Microcon column and centrifuging at 11,000×g for 20 seconds. Sample was dehydrated by centrifugation under vacuum and stored at −20° C.

Each reaction pellet was dissolved in 9 μl of 0.1 M carbonate buffer (0.1M sodium carbonate and sodium bicarbonate, pH=8.5-9) and 4.5 μl of this placed in two microfuge tubes. 4.5 μl of each dye (in DMSO) were added and the mixture incubated in the dark for 1 hour. 4.5 μl of 4 M hydroxylamine was added and again incubated in the dark for 15 minutes.

Regardless of the method used for probe generation, the probe was purified using a Qiagen PCR cleanup kit (Qiagen, Valencia, Calif., USA), and eluted with 100 ul EB (kit provided). The sample was loaded on a Microcon YM-30 (Millipore, Bedford, Mass., USA) spin column and concentrated to 4-5 ul in volume. Probes for the maize microarrays were generated using the Fluorescent Linear Amplification Kit (cat. No. G2556A) from Agilent Technologies (Palo Alto, Calif.).

Hybridization and Wash Conditions

The following Hybridization and Washing Condition were developed:

Hybridization Conditions:

Labeled probe was heated at 95° C. for 3 min and chilled on ice. Then 25 □L of the hybridization buffer which was warmed at 42 C was added to the probe, mixing by pipetting, to give a final concentration of:

50% formamide

4×SSC

0.03% SDS

5×Denhardt's solution0.1 μg/ml single-stranded salmon sperm DNA

The probe was kept at 42 C. Prior to the hybridization, the probe was heated for 1 more min., added to the array, and then covered with a glass cover slip. Slides were placed in hybridization chambers (Telechem, Sunnyvale, Calif.) and incubated at 42° C. overnight.

Washing Conditions:

A. Slides were washed in 1×SSC+0.03% SDS solution at room temperature for 5 minutes,B. Slides were washed in 0.2×SSC at room temperature for 5 minutes,C. Slides were washed in 0.05×SSC at room temperature for 5 minutes.

After A, B, and C, slides were spun at 800×g for 2 min. to dry. They were then scanned.

Maize microarrays were hybridized according to the instructions included Fluorescent Linear Amplification Kit (cat. No. G2556A) from Agilent Technologies (Palo Alto, Calif.).

Scanning of Slides

The chips were scanned using a ScanArray 3000 or 5000 (General Scanning, Watertown, Mass., USA). The chips were scanned at 543 and 633 nm, at 10 um resolution to measure the intensity of the two fluorescent dyes incorporated into the samples hybridized to the chips.

Data Extraction and Analysis

The images generated by scanning slides consisted of two 16-bit TIFF images representing the fluorescent emissions of the two samples at each arrayed spot. These images were then quantified and processed for expression analysis using the data extraction software Imagene™ (Biodiscovery, Los Angeles, Calif., USA). Imagene output was subsequently analyzed using the analysis program Genespring™ (Silicon Genetics, San Carlos, Calif., USA). In Genespring, the data was imported using median pixel intensity measurements derived from Imagene output. Background subtraction, ratio calculation and normalization were all conducted in Genespring. Normalization was achieved by breaking the data in to 32 groups, each of which represented one of the 32 pin printing regions on the microarray. Groups consist of 360 to 550 spots. Each group was independently normalized by setting the median of ratios to one and multiplying ratios by the appropriate factor.

The results of the microarray experiments are reported in the MA_DIFF Table as described above in the section entitled “Brief Description of the Individual Tables”.

Example 4

AFLP Experiments and Results

Production of Samples

mRNA was prepared from 27 plant tissues. Based on preliminary cDNA-AFLP analysis with a few primer combinations, 11 plant tissues and/or pooled samples were selected. Samples were selected to give the greatest representation of unique band upon electrophoresis. The final 11 samples or pooled samples used in the cDNA-AFLP analysis were:

S1 Dark adapted seedlings

S2 Roots/Etiolated Seedlings

S3 Mature leaves, soil grownS4 Immature buds, inflorescence meristemS5 Flowers openedS6 Siliques, all stagesS7 Senescing leaves (just beginning to yellow)S8 Callus Inducing medium

Callus shoot induction

Callus root induction

S9 Wounding

Methyl-j asmonate-treated

S10 Oxidative stress

Drought stress

Oxygen Stress-flooding

S11 Heat treated light grown seedling

Cold treated light grown seedlings

cDNA from each of the 11 samples was digested with two restriction endonucleases, namely TaqI and MseI. TaqI and MseI adapters were then ligated to the restriction enzyme fragments. Using primers to these adapters that were specific in sequence (i.e. without extensions), the restriction fragments were subjected to cycles of non-radioactive pre-amplification.

Selective PCR

In order to limit the number of fragments or bands on each lane of the AFLP gel, fragments were subjected to another round of selective radioactive polymerase chain amplification. The TaqI primers used in this amplification were 5′-labelled with P³³. For these amplifications, the TaqI primers had two extra nucleotides at their 3′ end and the MseI primers had three extra nucleotides at their 3′ end. This resulted in 16 primer designs for the TaqI primer and 64 primer designs for the MseI primer. Altogether, this gave rise to a total of 1024 primer designs. Fragments generated in this selective amplification protocol were run with labeled molecular weight markers on polyacrylamide gels to separate fragments in the size range of 100-600 nucleotides.

Following gel electrophoresis, profiles were analyzed with a phosphoimager. From these images, electronic files, giving the mobilities of all bands on the gels and their intensities in each of the samples, were compiled.

All unique bands were cut out of the gels. The gel pieces were placed in 96 well plates for elution and their plate designation was linked to their electrophoretic mobilities recorded in the electronic files. The eluted fragments were then subjected to another round of amplification, this time using reamplification primers (see below). After amplification, DNA fragments were sequenced.

A computer database was established linking the mobilities of all the bands observed on the cDNA-AFLP gels with the sequence of the correspondingly isolated fragment. The sequence allowed for identification of the gene from which the cDNA-AFLP fragment was derived, allowing for a linkage of band mobility with the transcript of a specific gene. Also linked to the band mobilities were their intensities recorded for each of the eleven samples used in constructing the database.

This cDNA-AFLP analysis with TaqI/MseI and 1024 primer combinations was repeated using the enzymes NlaIII in place of TaqI, and Csp6I in place of MseI.

Using the Database for the Transcript Profiling of Experimental Samples

Experimental Samples were subjected to cDNA-AFLP as described above, resulting in electronic files recording band mobilities and intensities. Through use of the database established above, band mobilities could be linked to specific cDNAs, and therefore genes. Furthermore, the linkage with the intensities in the respective samples allowed for the quantification of specific cDNAs in these samples, and thus the relative concentration of specific transcripts in the samples, indicating the level to which specific genes were expressed.

Reamplification Primers

99G24   CGCCAGGGTTTTCCCAGTCACGAC|ACGACTCACT|gatgagtcctgagtaa|
M13 forward        +10     MseI + 0
99G20   AGCGGATAACAATTTCACACAGGA|CACACTGGTA|tagactgcgtaccga|
M13 reverse       +10      TaqI + 0

Purification of the Reamplifiction Reaction Before Sequencing

5 μl reamplification reaction0.25 μl 10×PCR buffer

0.33 μl Shrimp Alkaline Phosphatase (Amersham Life Science)

0.033 μl Exonuclease I (USB)

0.297 μl SAP dilution buffer

1.59 μl MQ

7.5 μl total

30′ 37° C.

10′ 80° C.

4° C.

Sample Preparation

S1: Dark adapted seedlings: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. After 8 days, the seedlings were foil-wrapped and harvested after two days.S2: Roots/Etiolated seedlings: Seeds of Arabidopsis thaliana (wassilewskija) were germinated on solid germination media (1×MS salts, 1×MS vitamins, 20 g/L sucrose, 50 mg/L MES pH 5.8) in the dark. Tissues were harvested 14 days later.S3: Mature leaves, soil grown: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. Leaves were harvested 17 days later from plants that had not yet bolted.S4: Immature buds, inflorescence meristem: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark.S5: Flowers, opened: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark.S6: Siliques, all stages: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark.S7: Senescing leaves (just beginning to yellow): Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. When the plant had leaves that were less than 50% yellow, the leaves that were just beginning to yellow were harvested.

S8:

Callus Inducing Medium: Seeds of Arabidopsis thaliana (wassilewskija) were surface sterilized (1 min-75% Ethanol, 6 min-bleach 100%+Tween 20, rinse) and incubated on MS medium containing 2,4-Dichlorophenoxyacetic acid (2,4-D) 1 mg/l and Kinetin 1 mg/l in the dark for 3 weeks to generate primary callus.

Hypocotyls and roots of the seedling were swollen after a week after incubation in this callus induction medium and subsequently callus was initiated from these swollen areas.

Callus shoot induction: Primary calluses were transferred to the fresh callus induction medium for another 2 weeks growth to generate secondary callus. Secondary callus were transferred to shoot induction medium containing MS basal medium and Benzyladenine (BA) 2 mg/l and Naphthaleneacetic acid (NAA)). 1 mg/l for 2 weeks growth in the light before it was harvested and frozen and sent to Keygene. Many shoot meristems were observed under the microscope.

Callus root induction: Secondary calluses were transferred to root induction medium containing MS basal medium, sucrose 1% and Indolebutyric acid (IBA) 0.05 mg/l in the dark. Many root primordia were observed under microscope after 10 days in the root induction medium. Those callus tissue were harvested and frozen and sent to Keygene.

S9:

Wounding: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. After 20 days, leaves of plants were wounded with pliers. Wounded leaves were harvested 1 hour and 4 hours after wounding.

Methyl jasmonate treatment: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. After 13 days, plants were sprayed with 0.001% methyl jasmonate. Leaves were harvested 1.5 hours and 6 hours after spraying

S10:

Oxidative stress: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. After 24 days, a few leaves were inoculated with a mixture of 2.5 mM D-glucose, 2.5 U/mL glucose oxidase in 20 mM sodium phosphate buffer pH 6.5. After an hour, 3 hours, or 5 hours after inoculation, whole plant, except for the inoculated leaves, was harvested. This sample was mixed with sample from plants that were sitting in full sun (152,000 LUX) for 2 hours or four hours.

Drought stress: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. After 20 days, aerial tissues were harvested and left to dry in 3MM Whatman paper for 1 hour or 4 hours.

Oxygen stress: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. After 21 days, the plant was flooded by immersing its pot in a beaker of tap water. After 6 days, the upper tissues were harvested.

S11: Heat-treated light grown seedlings: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. Over a 5 hour period, the temperature was raised to 42° C. at the rate of approximately 4° C. per hour. After 1 hour at 42° C., the aerial tissues were collected. This sample was mixed with an equal volume of sample that went through a heat-recovery treatment namely bringing down the temperature to 22° C. from 42° C. over a 5 hour period at the rate of 4° C. per hour.

Cold-treated light grown seedlings: Seeds of Arabidopsis thaliana (wassilewskija) were sown in pots and left at 4° C. for two to three days to vernalize. They were transferred to a growth chamber after three days. The intensity of light in the growth chamber was 7000-8000 LUX, temperature was 22° C., with 16 h light and 8 h dark. After 18 days, the plant was transferred to 4° C. for an hour before the aerial tissues were harvested. This sample was mixed with aerial tissues from another plant that was transferred to 4° C. for 27 hours before being harvested.

Analysis of Data:

Intensity: The intensity of the band corresponds to the value in each lane marked S1, S2 etc.P-values: The data shows P-values of each of the samples 1-11. P-values are calculated using the following formula 2*(1-NORMDIST(ABS(Sx-AVERAGE(of S1 to S11, not including Sx))/STDEV(of S1 to S11 not including Sx),0,1,TRUE)) using Excel functions.

The equivalent mathematical formula of P-value is as follows:

∫φ(x) dx, integrated from a to ∞,

where φ(x) is a normal distribution:

where a=|Sx−μ|

σ(S1 . . . S11, not including Sx);

where μ=is the average of the intensities of all samples except Sx,

$=\frac{\left(\Sigma S1\dots \mathrm{Sn}\right)-\mathrm{Sx}}{n-1}$

where σ(S1 . . . S11, not including Sx)=the standard deviation of all sample intensities except Sx.

Results:

The results are shown in the MA_diff tables.

Example 5

Transformation of Carrot Cells

Transformation of plant cells can be accomplished by a number of methods, as described above. Similarly, a number of plant genera can be regenerated from tissue culture following transformation. Transformation and regeneration of carrot cells as described herein is illustrative.

Single cell suspension cultures of carrot (Daucus carota) cells are established from hypocotyls of cultivar Early Nantes in B₅ growth medium (O. L. Gamborg et al., Plant Physiol. 45:372 (1970)) plus 2,4-D and 15 mM CaCl₂ (B₅-44 medium) by methods known in the art. The suspension cultures are subcultured by adding 10 ml of the suspension culture to 40 ml of B₅-44 medium in 250 ml flasks every 7 days and are maintained in a shaker at 150 rpm at 27° C. in the dark.

The suspension culture cells are transformed with exogenous DNA as described by Z. Chen et al. Plant Mol. Bio. 36:163 (1998). Briefly, 4-days post-subculture cells are incubated with cell wall digestion solution containing 0.4 M sorbitol, 2% driselase, 5 mM MES (2-[N-Morpholino]ethanesulfonic acid) pH 5.0 for 5 hours. The digested cells are pelleted gently at 60×g for 5 min. and washed twice in W5 solution containing 154 mM NaCl, 5 mM KCl, 125 mM CaCl₂ and 5 mM glucose, pH 6.0. The protoplasts are suspended in MC solution containing 5 mM MES, 20 mM CaCl₂, 0.5 M mannitol, pH 5.7 and the protoplast density is adjusted to about 4×10⁶ protoplasts per ml.

15-60 μg of plasmid DNA is mixed with 0.9 ml of protoplasts. The resulting suspension is mixed with 40% polyethylene glycol (MW 8000, PEG 8000), by gentle inversion a few times at room temperature for 5 to 25 min. Protoplast culture medium known in the art is added into the PEG-DNA-protoplast mixture. Protoplasts are incubated in the culture medium for 24 hour to 5 days and cell extracts can be used for assay of transient expression of the introduced gene. Alternatively, transformed cells can be used to produce transgenic callus, which in turn can be used to produce transgenic plants, by methods known in the art. See, for example, Nomura and Komamine, Plt. Phys. 79:988-991 (1985), Identification and Isolation of Single Cells that Produce Somatic Embryos in Carrot Suspension Cultures.

Example 6

Phenotype Screens and Results

A: Triparental Mating and Vacuum Infiltration Transformation of Plants

Standard laboratory techniques are as described in Sambrook et al. (1989) unless otherwise stated. Single colonies of Agrobacterium C58C1Rif, E. coli helper strain HB101 and the E. coli strain containing the transformation construct to be mobilized into Agrobacterium were separately inoculated into appropriate growth media and stationary cultures produced. 100 μl of each of the three cultures were mixed gently, plated on YEB (5 g Gibco beef extract, Ig Bacto yeast extract, Ig Bacto peptone, 5 g sucrose, pH 7.4) solid growth media and incubated overnight at 28° C. The bacteria from the triparental mating were collected in 2 ml of lambda buffer (20 mM Tris (pH 7.5), 100 mM NaCl, 10 mM MgCl₂) and serial dilutions made. An aliquot of the each dilution was then plated and incubated for 2 days at 28° C. on YEB plates supplemented with 100 μg/ml rifampicin and 100 μg/ml carbenicillin for calculation of the number of acceptor cells and on YEB plates supplemented with 100 μg/ml rifampicin, 100 μg/ml carbenicillin and 100 μg/ml spectinomycin for selection of transconjugant cells. The cointegrate structure of purified transconjugants was verified via Southern blot hybridization.

A transconjugant culture was prepared for vacuum infiltration by inoculating 1 ml of a stationary culture arising from a single colony into liquid YEB media and incubating at 28° C. for approximately 20 hours with shaking (220 rpm) until the OD taken at 600 nm was 0.8-1.0. The culture was then pelleted (8000 rpm, 10 min, 4° C. in a Sorvall SLA 3000 rotor) and the bacteria resuspended in infiltration medium (0.5×MS salts, 5% w/v sucrose, 10 μg/l BAP, 200 μl/l Silwet L-77, pH 5.8) to a final OD₆₀₀ of 1.0. This prepared transconjugant culture was used within 20 minutes of preparation.

Wild-type plants for vacuum infiltration were grown in 4-inch pots containing Metromix 200 and Osmocote. Briefly, seeds of Arabidopsis thaliana (ecotype Wassilewskija) were sown in pots and left at 4° C. for two to four days to vernalize. They were then transferred to 22-25° C. and grown under long-day (16 hr light: 8 hr dark) conditions, sub-irrigated with water. After bolting, the primary inflorescence was removed and, after four to eight days, the pots containing the plants were inverted in the vacuum chamber to submerge all of the plants in the prepared transconjugant culture. Vacuum was drawn for two minutes before pots were removed, covered with plastic wrap and incubated in a cool room under darkness or very low light for one to two days. The plastic wrap was then removed, the plants returned to their previous growing conditions and subsequently produced (TI) seed collected.

B: Selection of T-DNA Insertion Lines

Approximately 10,750 seeds from the initial vacuum infiltrated plants were sown per flat of Metromix 350 soil. Flats were vernalized for four to five days at 4° C. before being transferred to 22-25° C. and grown under long-day (16 hr light: 8 hr dark) conditions, sub-irrigated with water. Approximately seven to ten days after germination, the (T1) seedlings were sprayed with 0.02% Finale herbicide (AgrEvo). After another five to seven days, herbicide treatment was repeated. Herbicide resistant T1 plants were allowed to self-pollinate and T2 seed were collected from each individual. In the few cases where the T1 plant produced few seed, the T2 seed was planted in bulk, the T2 plants allowed to self-pollinate and T3 seed collected.

C: Phenotype Screening

Approximately 40 seed from each T2 (or T3) line were planted in a 4-inch pot containing either Sunshine mix or Metromix 350 soil. Pots were vernalized for four to five days at 4° C. before being transferred to 22-25° C. and grown under long-day (16 hr light: 8 hr dark) conditions, sub-irrigated with water. A first phenotype screen was conducted by visually inspecting the seedlings five to seven days after germination and aberrant phenotypes noted. Plants were then sprayed with Finale herbicide within four days (i.e. about seven to nine days after germination). The second visual screen was conducted on surviving T2 (or T3) plants about sixteen to seventeen days after germination and the final screen was conducted after the plants had bolted and formed siliques. Here, the third and fourth green siliques were collected and aberrant phenotypes noted. The Knock-in and Knock-out Tables contain descriptions of identified phenotypes.

Alternative, seed were surface sterilized and transferred to agar solidified medium containing Murashige and Skoog salts (1×), 1% sucrose (wt/v) pH 5.7 before autoclaving. Seed were cold treated for 48 hours and transferred to long days [16 hours light and 8 hours dark], 25° C. Plants were screened at 5 and 10 days.

In another screen, seed were surface sterilized and transferred to agar solidified medium containing Murashige and Skoog salts (1×), and combinations of various nitrogen and sucrose amounts as specified below:

Medium 1: no sucrose, 20.6 mM NH₄NO₃, 18.8 mM KNO₃;

Medium 2: 0.5% sucrose, 20.6 mM NH₄NO₃, 18.8 mM KNO₃;

Medium 3: 3% sucrose, 20.6 mM NH₄NO₃, 18.8 mM KNO₃;

Medium 4: no sucrose, 20.6 μM NH₄NO₃, 18.8 μM KNO₃;

Medium 5: 0.5% sucrose, 20.6 μM NH₄NO₃, 18.8 μM KNO₃; and

Medium 6: 3% sucrose, 20.6 μM NH₄NO₃, 18.8 μM KNO₃.

The 0.5% sucrose was the control concentration for the sucrose. The low nitrogene, 20.6 μM NH₄NO₃, 18.8 μM KNO₃, is the control for the nitrogen. Seed were cold treated for 48 hours and transferred to long days [16 hours light and 8 hours dark], 25° C. Plants were screened at 2, 5, and 10 days.

D: TAIL-PCR and Fragment Sequencing

Rosette leaves were collected from each putative mutant and crushed between parafilm and FTA paper (Life Technologies). Two 2 mm² hole punches were isolated from each FTA sample and washed according to the manufacturer's instructions by vortexing with 200 ul of the provided FTA purification reagent. The FTA reagent was removed and the washing procedure repeated two more times. The sample was then washed twice with 200 ul of FTA TE (10 mM Tris, 0.1 mM EDTA, pH 8.0) and vortexing prior to PCR.

Primers used for TAIL-PCR are as follows:

AD2:
5′ NGTCGASWGANAWGAA 3′ (128-fold degeneracy)
S = G or C, W = A or T, and N = A, G, C, or T
LB1:
5′ GTTTAACTGCGGCTCAACTGTCT 3′
LB2:
5′ CCCATAGACCCTTACCGCTTTAGTT 3′
LB3:
5′ GAAAGAAAAAGAGGTATAACTGGTA 3′

The extent to which the left and right borders of the T-DNA insert were intact was measured for each line by PCR. The following components were mixed for PCR: 1 2 mm² FTA sample, 38.75 μl distilled water, 5 μl 10× Platinum PCR buffer (Life Technologies), 2 μl 50 mM MgCl₂, 1 μl 10 mM dNTPs, 1 μl 10 μM primer LB1 (or RB1 for analysis of the right border), 1 μl 10 μM primer LB3R (or RB3R for analysis of the right border) and 1.25 U Platinum Taq (Life Technologies). Cycling conditions were: 94° C., 10 sec.; thirty cycles of 94° C., 1 sec.—54° C., 1 sec.—72° C., 1 sec.; 72° C., 4 sec. The expected band size for an intact left border is bp, while an intact right border generates a bp band.

Fragments containing left or right border T-DNA sequence and adjacent genomic DNA sequence were obtained via PCR. First product PCR reactions use the following reaction mixture: 1 2 mm² FTA sample, 12.44 μl distilled water, 2 μl 10× Platinum PCR buffer (Life Technologies), 0.6 μl 50 mM MgCl₂, 0.4 μl 10 mM dNTPs, 0.4 μl 10 μM primer LB1 (or RB1 for analysis of the right border), 3 μl 20 μM primer AD2 and 0.8 U Platinum Taq (Life Technologies). Cycling conditions for these reactions were: 93° C., 1 min.; 95° C., 1 min.; three cycles of 94° C., 45 sec.—62° C., 1 min.—72° C., 2.5 min.; 94° C., 45 sec.; 25° C., 3 min.; ramp to 72° C. in 3 min.; 72° C., 2.5 min.; fourteen cycles of 94° C., 20 sec.—68° C., 1 min.—72° C., 2.5 min.—94° C., 20 sec.—68° C., 1 min.—72° C., 2.5 min.—94° C., 20 sec.—44° C., 1 min.—72° C., 2.5 min.; 72° C., 5 min.; end; ˜4.5 hrs. For second product PCR reactions 1 μl of a 1:50 dilution of the first PCR product reaction was mixed with 13.44 μl distilled water, 2 μl 10× Platinum PCR buffer (Life Technologies), 0.6 μl 50 mM MgCl₂, 0.4 μl 10 mM dNTPs, 0.4 μl 10 μM primer LB2 (or RB2 for analysis of the right border), 2 μl 20 μM primer AD2 and 0.8 U Platinum Taq (Life Technologies). Second product cycling conditions were: eleven cycles of 94° C., 20 sec.—64° C., 1 min.—72° C., 2.5 min.—94° C., 20 sec.—64° C., 1 min.—72° C., 2.5 min.—94° C., 20 sec.—44° C., 1 min.; 72° C., 5 min.; end; ˜3 hrs. Third product PCR reactions were prepared by first diluting 2 μl of the second PCR product with 98 μl of distilled water and then adding 1 μl of the dilution to 13.44 μl distilled water, 2 μl 10× Platinum PCR buffer (Life Technologies), 0.6 μl 50 mM MgCl₂, 0.4 μl 10 mM dNTPs, 0.4 μl 10 μM primer LB3 (or RB3 for analysis of the right border), 2 μl 20 μM primer AD2 and 0.8 U Platinum Taq (Life Technologies). Third product cycling conditions were: twenty cycles of 94° C., 38 sec.—44° C., 1 min.—72° C., 2.5 min.; 72° C., 5 min.; end; ˜2 hrs. Aliquots of the first, second and third PCR products were electrophoresed on 1% TAE (40 mM Tris-acetate, 1 mM EDTA) to determine their size.

Reactions were purified prior to sequencing by conducting a final PCR reaction. Here, 0.25 μl Platinum PCR Buffer (Life Technologies), 0.1 μl 50 mM MgCl₂, 3.3 U SAP shrimp alkaline phosphatase, 0.33 U Exonuclease and 1.781 μl distilled water were added to a 5 μl third product and the reaction cycled at 37° C., 30 min.; 80° C., 10 min.; 4° C. indefinitely.

Di-deoxy “Big Dye” sequencing was conducted on Perkin-Elmer 3700 or 377 machines.

Knock-In Experiments

For the following examples, a two-component system was constructed in a plant to ectopically express the desired cDNA.

First, a plant was generated by inserting a sequence encoding a transcriptional activator downstream of a desired promoter, thereby creating a first component where the desired promoter facilitates expression of the activator generated a plant. The first component also is referred to as the activator line.

Next, the second component is constructed by linking a desired cDNA to a sequence that the transcriptional activator can bind to and facilitate expression of the desired cDNA. The second component can be inserted into the activator line by transformation. Alternatively, the second component can be inserted into a separate plant, also referred to as the target line. Then, the target and activator lines can be crossed to generate progeny that have both components.

Two component lines were generated by both means.

Part I—From Crosses

Target lines containing cDNA constructs are generated using the Agrobacterium-mediated transformation. Selected target lines are genetically crossed to activation lines (or promoter lines). Generally, the promoter lines used are as described above. Evaluation of phenotypes is done on the resulting F1 progenies.

Part II—From Type I Supertransformation

Promoter activation lines (generally Vascular/Ovule/Young Seed/Embryo line, Seed/Epidermis/Ovary/Fruit line, Roots/Shoots/Ovule line, and Vasculature/Meristem are transformed with cDNA constructs using the Agrobacterium mediated transformation. Selected transformants (and their progenies) are evaluated for changes in phenotypes. The table for the knock-in of the Type I supertransformation comprises the following information

• • Clone ID,
  • Pfam,
  • Gemini ID
  • Trans. Unique ID (which indicates what promoter activation line was transformed
  • S Ratio: segregation ratio after the transformed plants are selected for the marker.
  • Assay
  • Stage: phenotype was observed
  • Feature: Where the phenotype was observed
  • Phenotype
  • P Ratio: phenotype ratio
  • Comments

Part III—From Type II Supertransformation

Target lines generated using the procedure mentioned in Part I are transformed with T-DNA construct containing constitutive promoter. Selected transformants (and their progenies) are evaluated for changes in phenotypes.

An additional deposit of an E. coli Library, E. coliLibAO21800, was made at the American Type Culture Collection in Manassas, Va., USA on Feb. 22, 2000 to meet the requirements of Budapest Treaty for the international recognition of the deposit of microorganisms. This deposit was assigned ATCC accession no. PTA-1411. Additionally, ATCC Library deposits; PTA-1161, PTA-1411 and PTA-2007 were made at the American Type Culture Collection in Manassas, Va., USA on; Jan. 7, 2000, Feb. 23, 2000 and Jun. 8, 2000 respectively, to meet the requirements of Budapest Treaty for the international recognition of the deposit of microorganisms.

The invention being thus described, it will be apparent to one of ordinary skill in the art that various modifications of the materials and methods for practicing the invention can be made. Such modifications are to be considered within the scope of the invention as defined by the following claims.

Each of the references from the patent and periodical literature cited herein is hereby expressly incorporated in its entirety by such citation.

Claims

1. An isolated nucleic acid molecule comprising: a) a nucleotide sequence comprising a full length open reading frame which encodes an amino acid sequence exhibiting at least 85% sequence identity to an amino acid sequence in the Sequence Listing;b) a nucleotide sequence that is complementary to any one of the nucleotide sequences according to paragraph (a);c) a nucleotide sequence capable of hybridizing to a nucleotide sequence according to any one of paragraphs (a)-(c) under conditions that permit formation of a nucleic acid duplex at a temperature from about 5° C. to 10° C. below the melting temperature of the nucleic acid duplex; ord) a nucleotide sequence comprising a full length reading frame which has at least 85% sequence identity to a nucleotide sequence in the Sequence Listing,with the proviso that (a) said amino acid sequence is not SEQ ID NO. 1016630 (peptide ID 4338956), SEQ ID NO. 3626759 (peptide ID 4338956), SEQ ID NO. 1016631 (peptide ID 4338957), SEQ ID NO. 3626760 (peptide ID 4338957), SEQ ID NO. 1344534 (peptide ID 4839246), SEQ ID NO. 3204584 (peptide ID 4839246), SEQ ID NO. 900077 (peptide ID 4839246), SEQ ID NO. 1344535 (peptide ID 4839247), SEQ ID NO. 3204585 (peptide ID 4839247), SEQ ID NO. 900078 (peptide ID 4839247), SEQ ID NO. 1275031 (peptide ID 4273024), SEQ ID NO. 177276 (peptide ID 4273024), SEQ ID NO. 3135077 (peptide ID 4273024), SEQ ID NO. 803473 (peptide ID 4273024), SEQ ID NO. 1275032 (peptide ID 4270325), SEQ ID NO. 177277 (peptide ID 4273025), SEQ ID NO. 3135078 (peptide ID 4273025), SEQ ID NO. 803474 (peptide ID 4273025), SEQ ID NO. 3983472 (Ceres SEQ ID NO. 1941385) or SEQ ID NO. 3983473 (Ceres SEQ ID NO. 1941386); and (b) said nucleotide sequence in the Sequence Listing is not SEQ ID NO. 1016629 (cDNA ID 4338955), SEQ ID NO. 3626758 (cDNA ID 4338955), SEQ ID NO. 1344533 (cDNA ID 4839245), SEQ ID NO. 3204583 (cDNA ID 4839245), SEQ ID NO. 900076 (cDNA ID 4839245), SEQ ID NO. 1275030 (cDNA ID 4273023), SEQ ID NO. 177275 (cDNA ID 4273023), SEQ ID NO. 3135076 (cDNA ID 4273023), SEQ ID NO. 803472 (cDNA ID 4273023) or SEQ ID NO. 3983471 (Ceres SEQ ID NO. 1941384).

2. An isolated nucleic acid molecule comprising a nucleic acid having a nucleotide sequence which exhibits at least 95% sequence identity to a) a nucleotide sequence shown in Tables 1 or 2 or a fragment thereof; orb) a complement of a nucleotide sequence described in Tables 1 or 2 or a fragment thereof,with the proviso that said nucleotide sequence is not SEQ ID NO. 1016629 (cDNA ID 4338955), SEQ ID NO. 3626758 (cDNA ID 4338955), SEQ ID NO. 1344533 (cDNA ID 4839245), SEQ ID NO. 3204583 (cDNA ID 4839245), SEQ ID NO. 900076 (cDNA ID 4839245), SEQ ID NO. 1275030 (cDNA ID 4273023), SEQ ID NO. 177275 (cDNA ID 4273023), SEQ ID NO. 3135076 (cDNA ID 4273023), SEQ ID NO. 803472 (cDNA ID 4273023) or SEQ ID NO. 3983471 (Ceres SEQ ID NO. 1941384).

3. (canceled)

4. (canceled)

5. (canceled)

6. A vector construct comprising: a) a first nucleic acid having a regulatory sequence capable of causing transcription and/or translation; andb) a second nucleic acid having the sequence of the isolated nucleic acid molecule according to claim 1;wherein said first and second nucleic acids are operably linked and wherein said second nucleic acid is heterologous to any element in said vector construct.

7. The vector construct according to claim 6, wherein said first nucleic acid is native to said second nucleic acid.

8. The vector construct according to claim 6, wherein said first nucleic acid is heterologous to said second nucleic acid.

9. A host cell comprising an isolated nucleic acid molecule according to claim 1, wherein said nucleic acid molecule is flanked by exogenous sequence.

10. A host cell comprising a vector construct of claim 6.

11. An isolated polypeptide comprising an amino acid sequence a) exhibiting at least 85% sequence identity to an amino acid sequence in the Sequence Listing; andb) capable of exhibiting at least one of the biological activities shown in Tables 1 or 2,with the proviso that said amino acid sequence is not SEQ ID NO. 1016630 (peptide ID 4338956), SEQ ID NO. 3626759 (peptide ID 4338956), SEQ ID NO. 1016631 (peptide ID 4338957), SEQ ID NO. 3626760 (peptide ID 4338957), SEQ ID NO. 1344534 (peptide ID 4839246) SEQ ID NO. 3204584 (peptide ID 4839246), SEQ ID NO. 900077 (peptide ID 4839246), SEQ ID NO. 1344535 (peptide ID 4839247) SEQ ID NO. 3204585 (peptide ID 4839247), SEQ ID NO. 900078 (peptide ID 4839247), SEQ ID NO. 1275031 (peptide ID 4273024), SEQ ID NO. 177276 (peptide ID 4273024), SEQ ID NO. 3135077 (peptide ID 4273024), SEQ ID NO. 803473 (peptide ID 4273024) SEQ ID NO. 1275032 (peptide ID 4270325), SEQ ID NO. 177277 (peptide ID 4273025) SEQ ID NO. 3135078 (peptide ID 4273025), SEQ ID NO. 803474 (peptide ID 4273025), SEQ ID NO. 3983472 (Ceres SEQ ID NO. 1941385) or SEQ ID NO. 3983473 (Ceres SEQ ID NO. 1941386).

12. An antibody capable of binding the isolated polypeptide of claim 11.

13. A method of introducing an isolated nucleic acid into a host cell comprising: a) providing an isolated nucleic acid molecule according to claim 1; andb) contacting said isolated nucleic with said host cell under conditions that permit insertion of said nucleic acid into said host cell.

14. A method of transforming a host cell which comprises contacting a host cell with a vector construct according to claim 6.

15. A method of modulating transcription and/or translation of a nucleic acid in a host cell comprising: a) providing the host cell of claim 9; andb) culturing said host cell under conditions that permit transcription or translation.

16. A method for detecting a nucleic acid in a sample which comprises: a) providing an isolated nucleic acid molecule according to claim 1;b) contacting said isolated nucleic acid molecule with a sample under conditions which permit a comparison of the sequence of said isolated nucleic acid molecule with the sequence of DNA in said sample; andc) analyzing the result of said comparison.

17. A plant or cell of a plant which comprises a nucleic acid molecule according to claim 1 which is exogenous or heterologous to said plant or plant cell.

18. A plant or cell of a plant which comprises a vector construct according to claim 6.

19. A plant which has been regenerated from a plant cell according to claim 17.

20. A plant which has been regenerated from a plant cell according to claim 1.