Methods and compositions for producing aluminum tolerant alfalfa

Information

  • Patent Grant
  • 9456561
  • Patent Number
    9,456,561
  • Date Filed
    Tuesday, January 17, 2012
    12 years ago
  • Date Issued
    Tuesday, October 4, 2016
    8 years ago
Abstract
The invention relates to alfalfa plants and lines having aluminum tolerance. The invention also relates to parts of alfalfa plants from lines having aluminum tolerance, including seeds capable of growing aluminum tolerant alfalfa plants. Methods for the use and breeding of aluminum tolerant alfalfa plants are also provided.
Description
FIELD OF THE INVENTION

The invention relates to methods and compositions for producing alfalfa plants that tolerate the presence of aluminum in soil.


BACKGROUND OF THE INVENTION

Alfalfa (Medicago sativa subsp. sativa) is the most important forage legume in the United States. Alfalfa is tetraploid, having 4 homoeologous chromosomes for each of the 8 different chromosomes, for a total of 32 chromosomes. It is highly desirable for hay production and pasture for livestock because it produces more protein per hectare than grain or oilseed crops, and requires little or no nitrogen fertilizer because of its ability to carry out symbiotic nitrogen fixation. However, alfalfa is very sensitive to aluminum toxicity.


Aluminum (“Al”) toxicity causes similar symptoms in many plant species. Micromolar concentrations of Al+3 can damage the root system, sometimes within minutes of exposure. Damage to the root system then significantly reduces yields due to an insufficient intake of water and other nutrients. Heavy applications of limestone and P fertilizer are commonly used to prevent yield loss, but these amendments are often not economical or practical.


SUMMARY OF THE INVENTION

In a first aspect, there is provided a method for producing an aluminum tolerant alfalfa line or increasing the aluminum tolerance of an alfalfa line comprising introgres sing at least one chromosomal locus contributing to aluminum tolerance from a parent alfalfa plant into an alfalfa line. For example, the parent alfalfa plant may be an aluminum tolerant alfalfa plant, such as a plant that displays a reduction in one or more symptoms of aluminum toxicity relative to a control plant when the plant is in contact with aluminum (e.g., a 10%, 25%, 50%, 75%, or 90% reduction). Symptoms of aluminum toxicity that may be reduced in resistant plants include, but are not limited to, reduction or inhibition of root growth, increase in susceptibility to drought, nutrient deficiency, decreased yield, and leaf chlorosis and/or necrosis. In certain embodiments, the chromosomal locus maps between loci MTIC95-146A and BG285-309A, MtBA36F01F1-126A and BG181-164A, BF228-153 and AL81-228, or MTIC84-18793 and BG234-251A on linkage group 1; between loci RCS5744-229B33 and 1e04.tatc.4-1-232A or MTIC124-179B and MTIC169-113 on linkage group 3; between loci MTIC94-13538B and Mstir12038-216, AW347-324A and BF184-28404, 1a09ggt5-1-252B and BG171-192, Mstri10127-123 and BF71-229, Mstri11701-17389 and 1g05tct12-1-277, RCS4310-272B and MTIC332-1485860, or AL84-156A64A and Mstir11989-111 on linkage group 4; between loci TC105099-111 and 2c12.gga.5-1-165A, TC106861 and Mstri10743-120, Mstir10801-446A and Mstri10743-120, or AW389-482 and BG157-154 on linkage group 5; between loci BI98-15458A and 8E92-199 or MTIC250-133 and 3d03.atc.5-1-239B244 on linkage group 6; or between loci BG119-270 and MTIC183-170B or AW212-245A65 and BF26-289A96A04A on linkage group 7 (see e.g., marker maps provided in FIG. 5A-I). For example, the chromosomal locus may be linked to any of the markers in the regions between MTIC95-146A and BG285-309A, MtBA36F01F1-126A and BG181-164A, BF228-153 and AL81-228, or MTIC84-18793 and BG234-251A on chromosome 1; between RCS5744-229B33 and 1e04.tatc.4-1-232A or MTIC124-179B and MTIC169-113 on chromosome 3; between MTIC94-13538B and Mstir12038-216, AW347-324A and BF184-28404, 1a09ggt5-1-252B and BG171-192, Mstri10127-123 and BF71-229, Mstri11701-17389 and 1g05tct12-1-277, RCS4310-272B and MTIC332-1485860, or AL84-156A64A and Mstir11989-111 on chromosome 4; between TC105099-111 and 2c12.gga.5-1-165A, TC106861 and Mstri10743-120, Mstir10801-446A and Mstri10743-120, or AW389-482 and BG157-154 on chromosome 5; between BI98-15458A and 8E92-199 or MTIC250-133 and 3d03.atc.5-1-239B244 on chromosome 6; or between loci BG119-270 and MTIC183-170B or AW212-245A65 and BF26-289A96A04A on chromosome 7 as provided in the maps of FIG. 5A-I.


In some aspects, a method according to the invention comprises: (a) crossing a plant within the Medicago genus having aluminum tolerance with a Medicago sativa plant lacking substantial aluminum tolerance to form a first population; (b) selecting one or more members of said population having aluminum tolerance; and (c) backcrossing progeny obtained to plants of a Medicago sativa variety otherwise lacking the aluminum tolerance to obtain an introgressed variety comprising aluminum tolerance. In certain embodiments, steps (b) and (c) may be repeated until an aluminum tolerance trait has been introgressed into the genetic background of a plant line that initially lacked aluminum tolerance such that the introgressed plant comprises less than about 50%, 25%, 10%, 5%, or 1% genomic material from the initial aluminum tolerant plant. In some embodiments, the initial cross of step (a) further comprises using embryo rescue to form said first population. In certain embodiments, the steps are repeated about 1, 2, 3, 4, 5, 6, or more times.


In certain aspects, a less-aluminum-tolerant alfalfa line is an agronomically elite line. For example, the less-aluminum-tolerant alfalfa line may be a commercial Medicago sativa line, such as a line that is used to produce alfalfa hay or silage. The less aluminum tolerant alfalfa line may be a hybrid or inbred line. In certain specific embodiments, the less-aluminum-tolerant alfalfa line is any commercial variety that is well known to one skilled in the art.


In some aspects a less-aluminum-tolerant alfalfa parent plant or line may contribute loci that enhance aluminum tolerance in progeny lines. For example, in some cases, the less-aluminum-tolerant alfalfa parent plant is a Medicago sativa NECS-141 plant. Loci contributing to aluminum tolerance that may be introgressed from such a parent plant include, but are not limited to, chromosomal loci mapping between BF228-153 and AL81-228 on linkage group 1; between 1a09ggt5-1-252B and BG171-192, Mstri10127-123 and BF71-229, Mstri11701-17389 and 1g05tct12-1-277, or RCS4310-272B and MTIC332-1485860 on linkage group 4; or between MTIC250-133 and 3d03.atc.5-1-239B244 on linkage group 6.


In some aspects, a more-aluminum-tolerant plant is another member of the Medicago genus, other than Medicago sativa L., such as Medicago truncatula or Medicago trifolium. The plant may be a wild plant, or a hybrid or inbred line. In certain embodiments, the more-aluminum-tolerant alfalfa plant is Medicago sativa ssp. caerulea accession PI464724-25. In certain other embodiments the more-aluminum-tolerant alfalfa plant is a plant other than Medicago sativa ssp. caerulea accession PI464724-25. Loci contributing to aluminum tolerance that may be introgressed from a more aluminum tolerant parent plant include, but are not limited to, chromosomal loci mapping between MTIC95-146A and BG285-309A, MtBA36F01F1-126A and BG181-164A, or MTIC84-18793 and BG234-251A on linkage group 1; between RCS5744-229B33 and 1e04.tatc.4-1-232A or MTIC124-179B and MTIC169-113 on linkage group 3; between MTIC94-13538B and Mstir12038-216, AW347-324A and BF184-28404, or AL84-156A64A and Mstir11989-111 on linkage group 4; between TC105099-111 and 2c12.gga.5-1-165A, TC106861 and Mstri10743-120, Mstir10801-446A and Mstri10743-120, or AW389-482 and BG157-154 on linkage group 5; between B198-15458A and 8E92-199 on linkage group 6; or between BG119-270 and MTIC183-170B or AW212-245A65 and BF26-289A96A04A on linkage group 7.


In a further aspect, there is provided a method for introgressing aluminum tolerance into an alfalfa line by marker-assisted selection using a marker linked to a chromosomal locus that contributes to aluminum tolerance in an alfalfa plant. In certain embodiments, the marker may be a marker that detects chromosomal insertions, deletions or other polymorphisms, such as simple sequence repeats and single nucleotide polymorphisms (SNPs). In certain embodiments, a marker for use according to the invention is between markers MTIC95-146A and BG285-309A, MtBA36F01F1-126A and BG181-164A, BF228-153 and AL81-228, or MTIC84-18793 and BG234-251A on linkage group 1; between RCS5744-229B33 and 1e04.tatc.4-1-232A or MTIC124-179B and MTIC169-113 on linkage group 3; between MTIC94-13538B and Mstir12038-216, AW347-324A and BF184-28404, 1a09ggt5-1-252B and BG171-192, Mstri10127-123 and BF71-229, Mstri11701-17389 and 1g05tct12-1-277, RCS4310-272B and MTIC332-1485860, or AL84-156A64A and Mstir11989-111 on linkage group 4; between TC105099-111 and 2c12.gga.5-1-165A, TC106861 and Mstri10743-120, Mstir10801-446A and Mstri10743-120, or AW389-482 and BG157-154 on linkage group 5; between BI98-15458A and 8E92-199 or MTIC250-133 and 3d03.atc.5-1-239B244 on linkage group 6; or between BG119-270 and MTIC183-170B or AW212-245A65 and BF26-289A96A04A on linkage group 7. For example, the marker may be one of the markers detectable by one of the primer pairs provided in Table 1 or Table 5 (SEQ ID NOs:1-560).


In still a further aspect, there is provided an alfalfa line produced by methods according to the invention, wherein the line comprises aluminum tolerance and is agronomically elite. Progeny of such plants comprising aluminum tolerance and an agronomically elite phenotype are also included as part of the invention.


In yet a further aspect, the invention provides an alfalfa plant comprising aluminum tolerance wherein the plant is agronomically elite. For example, the alfalfa plant may be an inbred or hybrid plant. A tolerant alfalfa plant may display a reduction in one or more symptom of aluminum toxicity. Symptoms that may be reduced in a tolerant plant include, but are not limited to, reduction or inhibition of root growth, increase in susceptibility to drought, nutrient deficiency, decreased yield, and leaf chlorosis and/or necrosis. Progeny of such plants comprising aluminum tolerance and an agronomically elite phenotype are also included as part of the invention. Likewise, seeds of plants according to the invention are also provided wherein the seeds produce agronomically elite plants comprising aluminum tolerance. Transgenic alfalfa plants are also provided as part of the instant invention. In certain embodiments, the invention provides parts of a plant according to the invention. Plant parts included but are not limited to a leaf, an ovule, pollen or a cell.


Plants according to the invention may be homozygous or heterozygous for a chromosomal locus linked to an aluminum tolerance phenotype. In further embodiments, the invention provides a seed of a plant according to the invention wherein the seed comprises a chromosomal locus linked to aluminum tolerance.


In still a further aspect, an alfalfa plant according to the instant invention comprises at least one additional trait of agronomic interest.


In yet another aspect, a tissue culture of regenerable cells of an alfalfa plant according to the invention is provided. The tissue culture may be capable of regenerating alfalfa plants capable of expressing all of the physiological and morphological characteristics of the starting plant (e.g., aluminum tolerance), and of regenerating plants having substantially the same genotype as the starting plant. The regenerable cells in such tissue cultures may be derived, for example, from embryos, meristems, cotyledons, pollen, leaves, anthers, roots, root tips, pistil, flower, seed, or stalks. In still further embodiments, the invention provides alfalfa plants regenerated from a tissue culture of the invention wherein the plants comprise aluminum tolerance.


In a further aspect, the present invention provides a method of producing progeny of a plant according to the invention, the method comprising the steps of: (a) preparing a progeny plant derived from an aluminum tolerant plant, wherein said preparing comprises crossing a plant according to the invention with a second plant; and (b) crossing the progeny plant with itself or a second plant to produce a seed of a progeny plant of a subsequent generation. In further embodiments, the method may additionally comprise: (c) growing a progeny plant of a subsequent generation from said seed of a progeny plant of a subsequent generation and crossing the progeny plant of a subsequent generation with itself or a second plant; and repeating the steps for an additional 3-10 generations to produce further progeny plants. The derived plant may be an inbred line, and the aforementioned repeated crossing steps may be defined as comprising sufficient inbreeding to produce the inbred line. In the method, it may be desirable to select particular plants resulting from step (c) for continued crossing according to steps (b) and (c). By selecting plants having one or more desirable traits, an aluminum tolerant plant is obtained which possesses some of the desirable traits of the line/hybrid as well as potentially other selected traits.


In still a further aspect there is provided a method of vegetatively propagating an alfalfa plant according to the invention comprising the steps of: (a) collecting tissue capable of being propagated from a plant according to the invention; (b) cultivating said tissue to obtain proliferated shoots; (c) rooting said proliferated shoots to obtain rooted plantlets; and, optionally, (d) growing plants from the rooted plantlets.


In certain aspects, the present invention provides a method of producing food or feed comprising: (a) obtaining a plant according to the invention, wherein the plant has been cultivated to maturity, and (b) collecting plant tissue from the plant. Plants according to the invention comprise, in certain aspects, a commercial alfalfa variety comprising aluminum tolerance. Accordingly, alfalfa produced from such plants may be of any variety.


In further aspects, the invention provides a method of making a commercial product comprising obtaining alfalfa according the invention and producing a commercial product therefrom.


Embodiments discussed in the context of methods and/or compositions of the invention may be employed with respect to any other method or composition described herein. Thus, an embodiment pertaining to one method or composition may be applied to other methods and compositions of the invention as well.


As used herein the terms “encode” or “encoding” with reference to a nucleic acid are used to make the invention readily understandable by the skilled artisan, however these terms may be used interchangeably with “comprise” or “comprising” respectively.


As used herein the specification, “a” or “an” may mean one or more. As used herein in the claim(s), when used in conjunction with the word “comprising”, the words “a” or “an” may mean one or more than one.


The use of the term “or” in the claims is used to mean “and/or” unless explicitly indicated to refer to alternatives only or the alternatives are mutually exclusive, although the disclosure supports a definition that refers to only alternatives and “and/or.” As used herein “another” may mean at least a second or more.


Throughout this application, the term “about” is used to indicate that a value includes the inherent variation of error for the device, the method being employed to determine the value, or the variation that exists among the study subjects.


Other objects, features, and advantages of the present invention will become apparent from the following detailed description. It should be understood, however, that the detailed description and the specific examples, while indicating preferred embodiments of the invention, are given by way of illustration only, since various changes and modifications within the spirit and scope of the invention will become apparent to those skilled in the art from this detailed description.





BRIEF DESCRIPTION OF THE DRAWINGS

The following drawings form part of the present specification and are included to further demonstrate certain aspects of the present invention. The invention may be better understood by reference to one or more of these drawings in combination with the detailed description of specific embodiments presented herein.



FIG. 1: Callus relative growth ratio (callus growth in medium with aluminum/callus growth in medium without aluminum) of six genotypes grown in Blaydes callus induction medium with and without aluminum.



FIG. 2: Distribution of an aluminum-tolerant phenotype of the NECS141Altet4 mapping population. The phenotype graphed is the relative callus growth ratio at 8 weeks of growth in the callus bioassay.



FIG. 3: Phenotypes of three genotypes of tetraploid alfalfa after 18 days of growth in the whole-plant culture media assay.



FIG. 4: Frequency distribution of Al tolerance based on relative root growth from the NECSAltet4 population from the whole plant assay in media.



FIG. 5A-I: Consensus linkage map and QTLs from Altet-4 chromosomes 1, 3 to 7, and NECS-141 chromosomes 1, 4, and 6. Linkage map sections represent QTL regions identified from the callus bio-assay, whole plant assay in media, and soil-based assay (as indicated) identified from interval mapping. QTL likelihood plots based on significant LOD scores are shown for the following phenotypic assays: Callus-AVG=average of callus growth ratio; Al50=Relative root length in whole plant assay in media (pH7Al−/pH4Al+), with Al+ 50 μM; Al1K=Relative root length in whole plant assay in media (pH7Al−/pH4Al+) with Al+ 1 mM); Rdmr=Relative root biomass in soil-based assay (experiment 1=Rdmr1, and experiment 2=Rdmr2). X-axis=LOD score, Y axis, position in cM.



FIG. 6A-D: FIG. 6A, Altet-4: Mean callus growth ratio of QTL genotypes on chromosome 3 (74 cM) from callus bioassay. FIG. 6B, Altet-4: Mean relative dry matter of roots of QTL genotypes on chromosome 4 (4 cM) from soil-based evaluations (Experiment 2, un-limed/limed). FIG. 6C, Altet-4: Mean relative dry matter of roots of QTL genotypes on chromosome 4 (38 cM) from soil-based evaluations (Experiment 1, un-limed/limed). FIG. 6D, Altet-4: Mean relative root growth (pH4Al+ 50 μM/pH7Al−) of QTL genotypes on chromosome 7 (70 cM) from whole plant assay in media.



FIG. 7A-C: FIG. 7A, NECS-141: Mean relative root growth (pH4Al+ 1 mM/pH7 Al−) of QTL genotypes on chromosome 1 (98 cM) from whole plant assay in media. FIG. 7B, NECS-141: Mean relative root growth (pH4Al+ 50 μM/pH7 Al−) of QTL genotypes on chromosome 1 (98 cM) from whole plant assay in media. FIG. 7C, NECS-141: Mean relative dry matter of roots from QTL genotypes on chromosome 4 (32 cM) based on soil-based evaluations (Experiment 2, un-limed/limed).



FIG. 8: Genetic linkage maps of Altet-4 and NECS-141. Consensus linkage maps (left) and the four homologous linkage groups (H1-H4) (right) are shown for Chromosomes 1 through 8.



FIG. 9A-B: Al tolerance QTL on LG 1 explained 20.8% of the phenotypic variation for total callus weight ratio (TCWR) from the callus bio-assay. A) Composite map of LG 1 from Altet-4 and QTL likelihood plot. B) QTL allele effects at a given loci are based on the mean TCWR score of six possible allelic combinations. Error bars represent an average of the standard errors of all genotypes within each allelic combination. White numbers above the QTL genotype indicate the number of individuals with each allelic combination.



FIG. 10A-B: Al tolerance QTL on LG 4 of Altet-4 explained 15.2% of the phenotypic variation for total root length ratio (TRLR) in the whole plant assay in media. A) Composite map of LG 4 from Altet-4 and QTL likelihood plot. B) QTL allele effects at a given loci are based on the mean TRLR score of six possible allelic combinations. Error bars represent an average of the standard errors of all genotypes within each allelic combination. White numbers above the QTL genotype indicate the number of individuals with each allelic combination.



FIG. 11A-B: Al tolerance QTL on LG 7 of NECS-141 explained 21.7% of the phenotypic variation for total root length ratio (TRLR) from the whole plant assay in media. A) Composite map of LG 7 from NECS-141 and QTL likelihood plot. B) QTL allele effects at a given loci are based on the mean TRLR score of six possible allelic combinations. Error bars represent an average of the standard errors of all genotypes within each allelic combination. White numbers above the QTL genotype indicate the number of individuals with each allelic combination.





DETAILED DESCRIPTION OF THE INVENTION

The invention provides alfalfa exhibiting tolerance or enhanced tolerance to aluminum. Such plants can be referred to as aluminum tolerant alfalfa varieties. Methods of producing aluminum tolerant alfalfa plants are also provided. Also disclosed herein are methods of use and derivatives of the aluminum tolerant alfalfa plants. These findings can be used to enable implementation of effective molecular breeding strategies through SNP genotyping and other high-throughput platforms to accelerate the development of alfalfa cultivars with desirable agronomic characteristics that are adapted to a range of growing conditions, and are productive in acid and Al toxic soils.


The aluminum tolerant Medicago sativa alfalfa plants of the invention may bear one or more alleles conferring aluminum tolerance that have been introduced from other members of the Medicago genus employing techniques described herein. According to the invention, such traits may be introduced, for the first time, into agronomically elite varieties. Likewise, loci that contribute to aluminum tolerance have been identified in less-aluminum-tolerant plants. These loci can be introgressed or maintained in a line to enhance aluminum tolerance. Aluminum tolerant alfalfa plants of the present invention may thus display vigorous growth and other desirable properties for cultivation.


The invention also provides methods for introgression of aluminum tolerance into an alfalfa line. Through multiple rounds of backcrossing, chromosomal loci linked to aluminum tolerance may be introgressed into any other genotype according to the invention. This allows production of agronomically elite plants with aluminum tolerance. The backcrossing allows recovery of a starting genotype together with the desired aluminum tolerance alleles. For example, aluminum tolerant lines may comprise a genome that is 80%, 85%, 90%, 95%, 98%, or more Medicago sativa L. sequence from any particular background. Aluminum tolerant plants according to the invention may be defined, in certain embodiments, as “locus converted plants,” wherein essentially all of the desired morphological and physiological characteristics of a variety are recovered in addition to the characteristics of the single locus transferred into the variety via a backcrossing or by genetic transformation. Such lines may be heterozygous for chromosomal loci linked to aluminum tolerance or may be homozygous for such loci. Homozygous lines may have particular use, for example, as parents for selfing to produce inbred seed or crossing with a second elite alfalfa line for generating hybrid alfalfa seed.


Introgression of aluminum tolerance in accordance with the invention may be affected by marker-assisted selection. In particular, the invention provides genetic markers genetically linked to alleles conferring aluminum tolerance. Thus, tracking of markers linked to these loci allows efficient identification of progeny plants harboring aluminum tolerance. High-throughput breeding techniques using marker-assisted selection can be used to rapidly introgress loci into an agronomically elite background and thereby produce commercially viable aluminum tolerant lines. Introgression of aluminum tolerance in alfalfa may also be performed by genomic selection. Genomic selection (GS) predicts the breeding values of lines in a population by analyzing their phenotypes and marker scores (Heffner et al., Crop Sci. 49:1-12, 2009). GS incorporates all marker information in the prediction model, thus avoiding biased estimates of the marker effect and capturing more of the variation due to small effect quantitative trait loci (QTL).


As used herein, an “agronomically elite” alfalfa plant or line refers to plants or varieties exhibiting traits appropriate for commercial production, which are well known to those of skill in the art. For example, agronomically elite plants are capable of producing a commercial scale hay or silage yield. In certain aspects, agronomically elite plants and lines produce alfalfa of uniform size, color and quality. Agronomically elite lines may also exhibit desirable hardiness traits, such as disease resistance, cold tolerance, environmental stress tolerance, persistence, forage quality, and nutrient utilization, or use traits such as improved harvestability.


As used herein, a “control alfalfa plant” is any alfalfa plant susceptible to aluminum (aluminum susceptible), including typical commercially available and wild relatives of modern alfalfa plants. A control alfalfa plant is also grown under similar environmental conditions to a test plant according to the present disclosure.


As used herein, a “hybrid alfalfa plant” includes a plant resulting directly or indirectly from crosses between populations, breeds or cultivars within the species Medicago sativa. This also refers to plants resulting directly or indirectly from crosses between different species within the Medicago genus (e.g., interspecific hybrids resulting from crosses between Medicago sativa and Medicago truncatula or crosses between Medicago sativa and Medicago trifolium).


As used herein an “aluminum tolerant alfalfa plant” displays an increased tolerance to aluminum, or a decrease in the development of symptoms of aluminum susceptibility, when compared to the parental Medicago sativa plant or a control alfalfa line grown under similar environmental conditions.


As used herein, a descendent or progeny of a particular plant includes not only, without limitation, the products of any initial cross (be it a backcross or otherwise) between two plants, but all descendants whose pedigree traces back to the original cross. In an aspect of the present invention, the descendent contains about 50%, 25%, 12.5%, 6%, 3%, 1%, or less nuclear DNA from an aluminum tolerant alfalfa plant and expresses that genetic material to provide at least a portion of the plant's aluminum tolerance.


Aluminum tolerant alfalfa plants also include alfalfa cultivars, lines or varieties having tolerance to aluminum, referred to herein as aluminum tolerant alfalfa cultivars, aluminum tolerant alfalfa lines, or aluminum tolerant alfalfa varieties respectively. Aluminum tolerant alfalfa cultivars, aluminum tolerant alfalfa lines, or aluminum tolerant alfalfa varieties may have been bred and selected for at least aluminum tolerance and may also have been selected for other desirable traits.


As used herein, a “female parent” refers to an alfalfa plant that is the recipient of pollen from a male donor line, which successfully pollinates an egg. A female parent can be any alfalfa plant that is the recipient of pollen. Such female parents can be male sterile, for example, because of genetic male sterility, cytoplasmic male sterility, or because they have been subject to emasculation of the stamens. Genetic or cytoplasmic male sterility can be manifested in different manners, such as sterile pollen, malformed or stamenless flowers, positional sterility, and functional sterility.


As used herein, “cytoplasmic male sterility” refers to plants that are not usually capable of breeding from self-pollination, but are capable of breeding from cross-pollination.


As used herein, “linkage” or “genetic linkage” is a phenomenon wherein alleles on the same chromosome tend to segregate together more often than expected by chance if their transmission was independent.


As used herein, a “marker” is an indicator for the presence of at least one phenotype, genotype, or polymorphism. Markers include, but are not limited to, single nucleotide polymorphisms (SNPs), cleavable amplified polymorphic sequences (CAPS), amplified fragment length polymorphisms (AFLPs), restriction fragment length polymorphisms (RFLPs), simple sequence repeats (SSRs), simple sequence length polymorphisms (SSLPs), insertion(s)/deletion(s) (INDEL(s)), and random amplified polymorphic DNA (RAPD) sequences. A marker may be codominant and completely heritable (both alleles at a locus in a diploid heterozygote are readily detectable), with no environmental variance component, i.e., heritability of 1. A “nucleic acid marker” as used herein means a nucleic acid molecule that is capable of being a marker for detecting a polymorphism, phenotype, or both associated with aluminum tolerance. A “molecular marker” as used herein means a nucleic acid molecule that is capable of being a marker for detecting a polymorphism, phenotype, or both associated with aluminum tolerance. Genetic maps and markers for use in alfalfa are known in the art (Brummer et al., Theor Appl Genet 86:329-332, 1993; Echt et al., Genome 37:61-711993; Kiss et al., Mol Gen Genet 238:129-137, 1993; Brower et al., Crop Sci 40:1387-1396, 2000; Robins et al., Crop Sci 48:1780-1786, 2008; Robins et al., Crop Sci 47 1-10, 2007).


As used herein, a “desirable trait” or “desirable traits” that may be introduced into aluminum tolerant alfalfa plants by breeding may be directed to the alfalfa plant. Desirable alfalfa plant traits that may be independently selected include, but are not limited to, plant vigor, leaf shape, leaf length, leaf color, plant height, time to maturity, adaptation to field growth, persistance, forage quality, and resistance to one or more diseases or disease causing organisms. Any combination of desirable alfalfa traits may be combined with aluminum tolerance.


The present invention provides for one or more aluminum tolerant alfalfa plants. The aluminum tolerance of any alfalfa plant provided herein can be a tolerance to high concentrations of aluminum or a tolerance to low concentrations of aluminum, wherein either the high or low concentration of aluminum would cause symptoms in a non-aluminum-tolerant alfalfa plant. The aluminum tolerance of an alfalfa plant provided herein can be measured by any means available in the art.


In one aspect, the aluminum tolerance of an alfalfa plant is determined using a callus or tissue culture assay. The assay may comprise inducing callus formation, transferring one part of the induced callus to a growth medium comprising aluminum, and a second part of the callus to a growth medium which does not comprise aluminum. The growth medium may be Blaydes callus induction medium, and the callus may be grown in controlled growth chambers at 25° C. and with an 18-hour light photoperiod. The assay may further comprise weighing the callus. The assay may further comprise comparing the relative weights or amount of growth between the two parts of the callus.


In another aspect, the aluminum tolerance of an alfalfa plant is determined using a whole-plant culture media assay. The assay may comprise growing vegetatively propagated alfalfa clones or stem cuttings in culture media comprising 400 μM CaCl2, 1.4% gel rite, 0 or 50 μM Al+3 in the form of AlCl3, and pH 7.0 or 4.0 adjusted using 1 N HCl, and the alfalfa may be grown in controlled-environment growth chambers at 25° C. with an 18-hour light photoperiod.


Root growth may be quantified using winRHIZO® software (Regent Instruments, Québec, Canada) to determine aluminum tolerance. For example, total root length, lateral root numbers, and branching may be quantified. The absolute root growth and ratio of root characteristics (biomass, length, and branching) after 3 weeks of growth in either aluminum-containing media or aluminum-free media may also be used for determining aluminum tolerance.


In another aspect, the alfalfa plants and lines provided herein demonstrate little or no aluminum toxicity symptoms after treatment with aluminum. In some aspects, an aluminum tolerant alfalfa genotype demonstrates aluminum toxicity symptoms in less than 10%, 9%, 8%, 7%, 6%, 5%, 4%, 3% 2%, or 1% of alfalfa plants of that genotype.


Aluminum tolerant alfalfa plants may exhibit a delay in the onset of aluminum toxicity symptoms relative to a non-tolerant control alfalfa plant. In some embodiments, the aluminum tolerant alfalfa plants exhibit a delay of 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, or more days in the onset of aluminum toxicity symptoms relative to a control alfalfa plant. In other embodiments, the aluminum tolerant alfalfa plants exhibit a delay of at least 7 or more days, 10 or more days, or 14 or more days in the onset of aluminum toxicity symptoms relative to a control alfalfa plant.


In one aspect, the alfalfa plant is a seedling at the time of aluminum exposure. In some aspects, the alfalfa plant is a seedling at the trifoliate leaf stage of development at the time of aluminum exposure. In one aspect, aluminum toxicity symptoms can be measured at any time after aluminum exposure of an alfalfa plant. In other aspects, symptoms can be measured 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, or more days after exposure. In another aspect, the alfalfa plant is any age of plant at the time of exposure.


In another aspect, the alfalfa plant is a callus at the time of aluminum exposure. In some aspects, the callus has been allowed to form for about two weeks in Blaydes callus induction medium before exposure. In one aspect, aluminum toxicity symptoms can be measured at any time after aluminum exposure of an alfalfa callus. In other aspects, symptoms can be measured 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, or more weeks after exposure. In another aspect, the alfalfa callus is any age of callus at the time of exposure.


In another aspect, the alfalfa plant is a vegetatively propagated alfalfa clone or stem cutting at the time of aluminum exposure. In some aspects, the vegetatively propagated alfalfa clone or stem cutting has been allowed to develop in medium comprising 400 μM CaCl2, 1.4% gel rite, 0 or 50 μM Al+3 in the form of AlCl3 before exposure. In one aspect, aluminum toxicity symptoms can be measured at any time after aluminum exposure of an alfalfa plant. In other aspects, symptoms can be measured 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, or more days after exposure. In another aspect, the alfalfa plant is any age of plant at the time of exposure.


Aluminum tolerant alfalfa plants of the present invention may exhibit an increase in callus relative growth ratios after exposure to aluminum when compared to the relative growth rate of a control alfalfa callus exposed to aluminum. In one aspect, the aluminum tolerant alfalfa callus exhibit a 1%, 2%, 5%, 10%, 15%, 20%, or more increase in callus relative growth ratio relative to a control alfalfa plant after exposure to aluminum.


The present invention provides for a seed of an alfalfa plant capable of producing an aluminum tolerant alfalfa plant. In one aspect, the aluminum tolerant alfalfa plant can be an open-pollinated variety, a hybrid parent inbred line, or a male sterile line.


The aluminum tolerant alfalfa plants of the present invention can be aluminum tolerant alfalfa lines adapted for field alfalfa production or any other growing environment. In one aspect, the aluminum tolerant alfalfa plants of the present invention are adapted for open field alfalfa production.


The present invention also provides for an intra-specific hybrid alfalfa plant having aluminum tolerance developed from aluminum tolerant alfalfa plants. In another aspect, those intra-specific hybrid alfalfa plants exhibit aluminum tolerance after exposure to aluminum.


Agronomically elite alfalfa plants appropriate for use in a commercial production field represent various aspects of the present invention. In one aspect, certain alfalfa traits, including, for example, hay or silage quality, may be important to the commercial value of the crop.


A further aspect of the invention relates to tissue cultures of the aluminum tolerant alfalfa plants described herein. As used herein, the term “tissue culture” indicates a composition comprising isolated cells of one or more types, or a collection of such cells organized into parts of a plant. Tissue culture includes, but is not limited to, compositions comprising protoplasts and calli. Tissue culture also includes, but is not limited to, compositions comprising plant cells that are present in intact plant tissues, or parts of plants, such as embryo, leaf, peduncle, pedicel, anther, meristem, tip and segments of root, stump and stem, explants, and the like. In one aspect, a tissue culture comprises embryos, protoplasts, meristematic cells, pollen, leaves, anthers, or cells derived from immature tissues of these plant parts. Means for preparing and maintaining plant tissue cultures are well known in the art. Examples of processes of tissue culturing and regeneration of alfalfa are described in, for example, Parrot and Bouton, Crop Sci., (1990) 30:387-389. In some aspects, tissue culture of the aluminum tolerant alfalfa plants described herein relates to the culture of protoplasts, calli, or plant cells, that are isolated from, or present in, intact parts of the aluminum tolerant alfalfa plants described herein. In another aspect, tissue culture refers to the culture of protoplasts, calli, or plant cells, that are isolated from, or present in, intact parts of one or more aluminum tolerant plants selected from the group consisting of Altet1, Altet2, Altet3, and/or Altet4, and aluminum tolerant descendants thereof, including those produced by crosses or backcrosses. In yet another aspect, tissue culture of the aluminum tolerant alfalfa plants described herein relates to the culture of protoplasts, calli, or plant cells, that are isolated from, or present in, intact parts of the aluminum tolerant plants described herein.


Once aluminum tolerant alfalfa plants are produced, the plants themselves can be cultivated in accordance with conventional procedures. Aluminum tolerant descendants of aluminum tolerant alfalfa plants may be obtained through sexual reproduction. The seeds resulting from sexual reproduction can be recovered from the aluminum tolerant alfalfa plants and planted or otherwise grown as a means of propagation. Aluminum tolerant descendants may also be obtained from aluminum tolerant alfalfa plants through asexual reproduction. Protoplast or propagules (e.g., cuttings, scions, or rootstocks) can be recovered from aluminum tolerant alfalfa plants, or parts thereof, and may be employed to propagate aluminum tolerant alfalfa plants.


The present invention also provides for and includes a container of alfalfa seeds in which alfalfa plants grown from greater than 50% of the seeds have resistance or partial aluminum tolerance. In another aspect, alfalfa plants grown from greater than 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 98%, or 99% of the alfalfa seeds in the container have aluminum tolerance. Another aspect of the invention relates to seeds from an alfalfa plant selected from the group consisting of Altet1, Altet2, Altet3, Altet4, and aluminum tolerant descendents thereof, wherein alfalfa plants grown from about 50%, or greater than 50%, of the seeds have resistance or partial aluminum tolerance.


The container of alfalfa seeds can contain any number, weight or volume of seeds. For example, a container can contain about, or greater than about, 10, 25, 50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1500, 2000, 2500, 3000, 3500, 4000, or more seeds. In another aspect, a container can contain about, or greater than about, 1 gram, 5, 10, 15, 20, 25, 50, 100, 250, 500, or 1,000 grams of seeds. Alternatively, the container can contain about or at least, or greater than, about 1 ounce, 2, 3, 4, 5, 6, 7, 8, 9, 10 ounces, 1 pound, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 pounds or more of seeds.


Containers of alfalfa seeds can be any container available in the art. For example, a container can be a box, a bag, a packet, a pouch, a tape roll, a foil, a pail, or a tube.


One aspect of the invention relates to dried, or otherwise processed alfalfa hay, produced by an alfalfa plant having a genome that comprises at least one genetic locus giving rise to aluminum tolerance when expressed in an alfalfa plant. Processed alfalfa can be in the form of, but is not limited to, hay, silage, haylage, fermented hay, or greenchop. In some aspects, the dried, or otherwise processed alfalfa, is from an alfalfa plant selected from one or more of the group consisting of Altet1, Altet2, Altet3 and/or Altet4, and aluminum tolerant descendents thereof.


The present invention includes and provides for Medicago sativa plants having at least one allele for an aluminum tolerance trait. The aluminum tolerant alfalfa plants can be either heterozygous or homozygous for the aluminum tolerance trait. In one embodiment, the aluminum tolerance trait can be linked to variations in a single gene (e.g., linked to one or more alleles of a single gene). In another embodiment, the aluminum tolerance trait can be linked to variations at one or one or more quantitative trait loci (QTL). In a yet another embodiment, the aluminum tolerant alfalfa plants are homozygous for the aluminum tolerance trait. In one aspect, the genetic loci derived from an aluminum tolerant alfalfa plant can be identified using genetic markers.


The present invention provides for an aluminum tolerant alfalfa plant having less than or equal to 50% of its genome derived from a non-M. sativa aluminum tolerant plant that can be crossed directly, or indirectly (e.g., through tissue culture manipulation, or through the use of a bridging species) with Medicago sativa. The present invention also provides for descendents of alfalfa plants having aluminum tolerance.


One aspect of the present invention provides for an aluminum tolerant alfalfa plant that contains a genetic marker or a complement to a genetic marker linked to one or more aluminum tolerance loci. Another aspect of the invention is an alfalfa plant that contains at least 1, 2, 3, or 4 sequences complementary to markers linked to an aluminum tolerance locus. In another aspect, an alfalfa plant can contain sequence complementary to any combination of markers linked to the aluminum tolerance locus.


As used herein linkage of two loci, including a marker sequence and an allele imparting a desired trait such as aluminum tolerance, may be genetic or physical or both. In one aspect of the invention, a nucleic acid marker and genetic locus conferring aluminum tolerance are genetically linked and, for example, are located less than 50 cM from one another. In particular embodiments, the marker and locus may exhibit a LOD score of greater than 2.0, as judged by interval mapping for the aluminum tolerance trait based on maximum likelihood methods described by Lander and Botstein, Genetics, 121:185-199 (1989), and implemented in the software package MAPMAKER (default parameters). In other embodiments, the marker and region conferring aluminum tolerance are genetically linked and exhibit a LOD score of greater than 3.0, or a LOD score of greater than 3.5, or a LOD score of about 4.0 based upon interval mapping.


In another aspect, the nucleic acid marker is genetically linked at a distance of between about 0 and about 49 centimorgans (cM) to the aluminum tolerance locus. In other embodiments, the distance between the nucleic acid marker and the aluminum tolerance locus is between about 0 and about 30 cM, or between about 0 and about 20 cM, or between about 0 and about 15 cM, or between about 0 and about 10 cM, or between about 0 and about 5 cM, or less. See, for example, FIG. 5 which provided relative distance in cM between identified loci.


In another aspect, the nucleic acid molecule may be physically linked to an aluminum tolerance locus. In some aspects, the nucleic acid marker specifically hybridizes to a nucleic acid molecule having a sequence that is within about 30 Mbp, or about 20 Mbp, or about 15 Mbp, or about 10 Mbp, or about 5 Mbp of an aluminum tolerance locus.


As used herein, two nucleic acid molecules are said to be capable of hybridizing to one another if the two molecules are capable of forming an anti-parallel, double-stranded nucleic acid structure. Conventional stringency conditions are described by Sambrook et al., Molecular Cloning, A Laboratory Manual, 2nd Ed., Cold Spring Harbor Press, Cold Spring Harbor, N.Y. (1989) and by Haymes et al., Nucleic Acid Hybridization, A Practical Approach, IRL Press, Washington, D.C. (1985). Departures from complete complementarity are therefore permissible, as long as such departures do not completely preclude the capacity of the molecules to form a double-stranded structure. Thus, in order for a nucleic acid molecule to serve as a primer or probe it need only be sufficiently complementary in sequence to be able to form a stable double-stranded structure under the particular solvent and salt concentrations employed.


Appropriate stringency conditions which promote DNA hybridization, for example, 6.0× sodium chloride/sodium citrate (SSC) at about 45° C., followed by a wash of 2.0×SSC at 50° C., are known to those skilled in the art or can be found in Current Protocols in Molecular Biology, John Wiley & Sons, N.Y. (1989), 6.3.1-6.3.6. In some embodiments, hybridization conditions can be high, moderate or low stringency conditions. High stringency conditions, for example, typically include a wash step at 65° C. in 0.2×SSC.


The specificity of hybridization can be affected by post-hybridization washes. For example, the salt concentration in the wash step can be selected from a low stringency of about 2.0×SSC at 50° C. to a moderate stringency of about 1.0×SSC at 50° C. to a high stringency of about 0.2×SSC at 50° C. In addition, the temperature in the wash step can be increased from low stringency conditions at room temperature, about 22° C., to moderate stringency conditions at about 50° C., to high stringency conditions at about 65° C. Both temperature and salt concentration may be varied, or either the temperature or the salt concentration may be held constant while the other variable is changed. In some aspects, the wash step can be performed for 5, 10, 15, 20, 25, 30, or more minutes. In another aspect, the wash step is performed for about 20 minutes. In yet another aspect, the wash step can be repeated 1, 2, 3, 4, or more times using the selected salt concentration, temperature, and time. In another aspect, the wash step is repeated twice.


A genetic marker profile of a plant may be predictive of the agronomic traits of a hybrid plant produced using that plant as a parent. For example, if an inbred plant having a known genetic marker profile and phenotype is crossed with a second inbred plant having a known genetic marker profile and phenotype, it is possible to predict the phenotype of the F1 hybrid based on the combined genetic marker profiles of the parent inbred plants. Methods for prediction of hybrid performance from genetic marker data are disclosed in U.S. Pat. No. 5,492,547, the disclosure of which is specifically incorporated herein by reference in its entirety. Such predictions may be made using any suitable genetic marker, for example, SSRs, INDELs, RFLPs, AFLPs, SNPs, or isozymes.


Additional markers, such as SSRs, AFLP markers, RFLP markers, RAPD markers, phenotypic markers, SNPs, isozyme markers, or microarray transcription profiles that are genetically linked to or correlated with aluminum tolerance can be utilized (Walton, Seed World 22-29 (July, 1993); Burow and Blake, Molecular Dissection of Complex Traits, 13-29, Eds. Paterson, CRC Press, New York (1988)). Methods to isolate such markers are known in the art. For example, locus-specific SSRs can be obtained by screening an alfalfa genomic library for SSRs, sequencing of “positive” clones, designing primers which flank the repeats, and amplifying genomic DNA with these primers.


The genetic linkage of marker molecules to aluminum tolerance can be established by a gene mapping model such as, without limitation, the flanking marker model reported by Lander and Botstein, Genetics, 121:185-199 (1989), and the interval mapping, based on maximum likelihood methods described by Lander and Botstein, Genetics, 121:185-199 (1989), and implemented in the software package MAPMAKER.


A maximum likelihood estimate (MLE) for the presence of a marker is calculated, together with an MLE assuming no trait effect, to avoid false positives. A log10 of an odds ratio (LOD) is then calculated as: LOD=log10 (MLE for the presence of a trait (MLE given no linked trait)).


The LOD score essentially indicates how much more likely the data are to have arisen assuming the presence of a resistance allele rather than in its absence. The LOD threshold value for avoiding a false positive with a given confidence, say 95%, depends on the number of markers and the length of the genome. Graphs indicating LOD thresholds are set forth in Lander and Botstein, Genetics, 121:185-199 (1989), and further described by Ars and Moreno-Gonzalez, Plant Breeding, Hayward, Bosemark, Romagosa (eds.) Chapman & Hall, London, pp. 314-331 (1993).


Selection of appropriate mapping or segregation populations is important in trait mapping. The choice of appropriate mapping population depends on the type of marker systems employed (Tanksley et al., Molecular mapping plant chromosomes. Chromosome structure and function: Impact of new concepts, J. P. Gustafson and R. Appels (eds.), Plenum Press, New York, pp. 157-173 (1988)). Consideration must be given to the source of parents (adapted vs. exotic) used in the mapping population. Chromosome pairing and recombination rates can be severely disturbed (suppressed) in wide crosses (adapted×exotic) and generally yield greatly reduced linkage distances. Wide crosses will usually provide segregating populations with a relatively large array of polymorphisms when compared to progeny in a narrow cross (adapted×adapted).


The present application provides a genetic complement of the alfalfa lines described herein. Further provided is a hybrid genetic complement, wherein the complement is formed by the combination of a haploid genetic complement from elite inbred alfalfa lines described herein and another haploid genetic complement. Means for determining such a genetic complement are well known in the art.


As used herein, the phrase “genetic complement” means an aggregate of nucleotide sequences, the expression of which defines the phenotype of a plant, such as a Medicago sativa alfalfa plant or a cell or tissue of that plant. By way of example, a Medicago sativa alfalfa plant is genotyped to determine a representative sample of the inherited markers it possesses. Markers may be inherited in codominant fashion so that the presence of both alleles at a diploid or tetraploid locus is readily detectable, and they are free of environmental variation, i.e., their heritability is close to, or equal to, 1. This genotyping is may be performed on at least one generation of the descendant plant for which the numerical value of the trait or traits of interest are also determined. The array of single locus genotypes is expressed as a profile of marker alleles, two at each locus for a diploid plant. The marker allelic composition of each locus can be either homozygous or heterozygous. Homozygosity is a condition where both alleles at a locus are characterized by the same conditions of the genome at a locus (e.g., the same nucleotide sequence). Heterozygosity refers to different conditions of the genome at a locus. Potentially any type of genetic marker could be used, for example, simple sequence repeats (SSRs), insertion/deletion polymorphism (INDEL), restriction fragment length polymorphisms (RFLPs), amplified fragment length polymorphisms (AFLPs), single nucleotide polymorphisms (SNPs), and isozymes.


Considerable genetic information can be obtained from a completely classified F2 population using a codominant marker system (Mather, Measurement of Linkage in Heredity: Methuen and Co., (1938)). An F2 population is the first generation of self or sib pollination after the hybrid seed is produced. Usually, a single F1 plant is self or sib pollinated to generate a population segregating for the nuclear-encoded genes in a Mendelian (1:2:1) fashion.


In contrast to the use of codominant markers, using dominant markers often requires progeny tests (e.g., F3 or back cross self families) to identify heterozygous individuals in the preceding generation. The information gathered can be equivalent to that obtained in a completely classified F2 population. This procedure is, however, often prohibitive because of the cost and time involved in progeny testing. Progeny testing of F2 individuals is often used in map construction where error is associated with single-plant phenotyping, or when sampling the plants for genotyping affects the ability to perform accurate phenotyping, or where trait expression is controlled by a QTL. Segregation data from progeny test populations (e.g., F3 or backcrossed or selfed families) can be used in trait mapping. Marker-assisted selection can then be applied to subsequent progeny based on marker-trait map associations (F2, F3), where linkage has not been completely disassociated by recombination events (i.e., linkage disequilibrium).


Recombinant inbred lines (RILs) (genetically related lines; usually >F5) can be used as a mapping population. RILs can be developed by selfing F2 plants, then selfing the resultant F3 plants, and repeating this generational selfing process, thereby increasing homozygosity. Information obtained from dominant markers can be maximized by using RILs because all loci are homozygous or nearly so. Under conditions of tight linkage (i.e., about <10% recombination), dominant and co-dominant markers evaluated in RIL populations provide more information per individual than either marker type in backcross populations (Reiter et al., Proc. Natl. Acad. Sci. (U.S.A.) 89:1477-1481, 1992). However, as the distance between markers becomes larger (i.e., loci become more independent), the information in RIL populations decreases dramatically when compared to codominant markers.


Backcross populations can be utilized as mapping populations. A backcross population (BC) can be created by crossing an F1 to one of its parents. Typically, backcross populations are created to recover the desirable traits (which may include most of the genes) from one of the recurrent parental (the parent that is employed in the backcrosses) while adding one or a few traits from the second parental, which is often referred to as the donor. A series of backcrosses to the recurrent parent can be made to recover most of the recurrent parent's desirable traits. Thus a population is created consisting of individuals nearly like the recurrent parent, wherein each individual carries varying amounts or a mosaic of genomic regions from the donor parent. Backcross populations can be useful for mapping dominant markers particularly if all loci in the recurrent parent are homozygous and the donor and recurrent parent have contrasting polymorphic marker alleles (Reiter et al., Proc. Natl. Acad. Sci. (U.S.A.) 89:1477-1481, 1992).


Information obtained from backcross populations using either codominant or dominant markers is less than that obtained from completely classified F2 populations because recombination events involving one, rather than two, gametes are sampled per plant. Backcross populations, however, are more informative (at low marker saturation) when compared to RILs as the distance between linked loci increases in RIL populations (i.e., about 15% recombination). Increased recombination can be beneficial for resolution of tight linkages, but may be undesirable in the construction of maps with low marker saturation.


Near-isogenic lines (NIL) created by many backcrosses to produce an array of individuals that are nearly identical in genetic composition except for the trait or genomic region under interrogation can be used as a mapping population. In mapping with NILs, only a portion of the loci are polymorphic between the parentals are expected to segregate in the highly homozygous NIL population. Those loci that are polymorphic in a NIL population, however, are likely to be linked to the trait of interest.


Bulk segregant analysis (BSA) is a method developed for the rapid identification of linkage between markers and traits of interest (Michelmore, et al., Proc. Natl. Acad. Sci. (U.S.A.) 88:9828-9832, 1991). In BSA, two bulk DNA samples are drawn from a segregating population originating from a single cross. These bulk samples contain individuals that are identical for a particular trait (e.g., resistant or susceptible to a particular pathogen) or genomic region but arbitrary at unlinked regions (i.e., heterozygous). Regions unlinked to the target trait will not differ between the bulked samples of many individuals in BSA.


In another aspect, the present invention provides a method of producing an aluminum tolerant alfalfa plant comprising: (a) crossing an aluminum tolerant alfalfa line with a second alfalfa line lacking aluminum tolerance to form a segregating population; (b) screening the population for aluminum tolerance; and (c) selecting one or more members of the population having said aluminum tolerance. In one aspect, plants are identified as aluminum tolerant prior to conducting one or more crosses. In one aspect, plants can be selected on the basis of partial or complete aluminum tolerance. In one aspect, the segregating population is self-crossed and the subsequent population is screened for resistance.


In another aspect, the present invention provides a method of introgressing aluminum tolerance into an alfalfa plant comprising: (a) crossing at least a first aluminum tolerant alfalfa line with a second alfalfa line to form a segregating population; (b) screening said population for aluminum tolerance; and (c) selecting at least one member of said population exhibiting aluminum tolerance. In one aspect, plants are identified as aluminum tolerant prior to conducting one or more crosses. In one aspect, the segregating population is self-crossed and the subsequent population is screened for resistance.


Aluminum tolerant alfalfa plants of the present invention can be part of, or generated from, a breeding program. The choice of breeding method depends on the mode of plant reproduction, the heritability of the trait(s) being improved, and the type of cultivar used commercially (e.g., F1 hybrid cultivar, pure line cultivar, etc). Selected, non-limiting approaches for breeding the plants of the present invention are set forth below. A breeding program can be enhanced using marker-assisted selection, or marker-assisted backcrossing, of the descendents of any cross. It is further understood that any commercial and non-commercial cultivars can be utilized in a breeding program. Factors such as, for example, emergence vigor, vegetative vigor, stress tolerance, disease resistance, branching, flowering, seed size, forage quality, and/or forage yield will generally dictate the choice.


For highly heritable traits, a choice of superior individual plants evaluated at a single location will be effective, whereas for traits with low heritability, selection should be based on statistical analyses (e.g., mean values) obtained from replicated evaluations of families of related plants. Popular selection methods commonly include pedigree selection, modified pedigree selection, mass selection, and recurrent selection. In some embodiments a backcross or recurrent breeding program is undertaken.


The complexity of inheritance influences choice of the breeding method. Backcross breeding can be used to transfer one or a few favorable genes for a highly heritable trait into a desirable cultivar. This approach has been used extensively for breeding disease-resistant cultivars. Various recurrent selection techniques are used to improve quantitatively inherited traits controlled by numerous genes. The use of recurrent selection in self-pollinating crops depends on the ease of pollination, the frequency of successful hybrids from each pollination, and the number of hybrid offspring from each successful cross.


Breeding lines can be tested and compared to appropriate standards in environments representative of the commercial target area(s) for two or more generations. The best lines are candidates as parents for new commercial cultivars; those still deficient in traits may be used as parents for hybrids, or to produce new populations for further selection.


One method of identifying a superior plant is to observe its performance relative to other experimental plants and to a widely grown standard cultivar. If a single observation is inconclusive, replicated observations can provide a better performance estimate. A breeder can select and cross two or more parental lines, followed by repeated self or sib pollinating and selection, producing many new genetic combinations.


The development of new alfalfa lines requires the preparation and selection of alfalfa varieties, the crossing of these varieties and selection of superior hybrid crosses. The hybrid seed can be produced by manual crosses between selected male-fertile parents or by using male sterility systems. Hybrids can be selected for certain single gene traits such as flower color, seed yield or herbicide resistance that indicate that the seed is truly a hybrid. Additional data on parental lines, as well as the phenotype of the hybrid, influence the breeder's decision whether to continue with the specific hybrid cross.


Pedigree breeding and recurrent selection breeding methods can be used to develop cultivars from breeding populations. Breeding programs combine desirable traits from two or more cultivars or various broad-based sources into breeding pools from which cultivars are developed by selfing and selection of desired phenotypes into parent lines. These lines are used to produce new cultivars. New cultivars can be evaluated to determine which have commercial potential.


Pedigree breeding is used commonly for the improvement of self-pollinating crops. Two parents who possess favorable, complementary traits are crossed to produce an F1. An F2 population is produced by selfing one or several F1's. Selection of the best individuals in the best families is performed. Replicated testing of families can begin in the F4 generation to improve the effectiveness of selection for traits with low heritability. At an advanced stage of inbreeding (i.e., F6 and F7), the best lines or mixtures of phenotypically similar lines are tested for potential release as new cultivars.


Backcross breeding and cross breeding have been used to transfer genes for a simply inherited, highly heritable trait into a desirable homozygous cultivar or inbred line, which is the recurrent parent. The source of the trait to be transferred is called the donor parent. The resulting plant obtained from a successful backcrossing program is expected to have the attributes of the recurrent parent (e.g., cultivar) and the desirable trait transferred from the donor parent. After the initial cross, individuals possessing the phenotype of the donor parent are selected and repeatedly crossed (backcrossed) to the recurrent parent. After multiple backcrossing generations with selection, the resulting line is expected to have the attributes of the recurrent parent (e.g., cultivar) and the desirable trait transferred from the donor parent.


Cross breeding or backcross breeding of an aluminum tolerant alfalfa plant may be conducted where the other parent (second alfalfa plant) is aluminum tolerant or the other parent is not aluminum tolerant.


Alfalfa plants generated of the invention may be generated using a single-seed descent procedure. The single-seed descent procedure, in the strict sense, refers to planting a segregating population, then selecting one plant in this and each subsequent generation to self and create the next generation. When the population has been advanced from the F2 to the desired level of inbreeding, the plants from which lines are derived will each trace to different F2 individuals. The number of plants in a population declines each generation due to failure of some seeds to germinate or some plants to produce at least one seed. As a result, not all of the F2 plants originally sampled in the population will be represented by a progeny when generation advance is completed.


Descriptions of other breeding methods that are commonly used for different traits and crops can be found in reference texts (e.g., Fehr, Principles of Cultivar Development Vol. 1, pp. 2-3, 1987).


In one aspect of the present invention, the source of aluminum tolerance trait for use in a breeding program is derived from a plant selected from the group consisting of Altet1, Altet2, Altet3, Altet4 and aluminum tolerant descendants thereof. In another aspect, the source of the aluminum tolerance trait for use in a breeding program is derived from a plant selected from the group consisting of Altet4 and aluminum tolerant descendants thereof.


Another aspect of the invention is directed to an inbred alfalfa plant, wherein said resistance is exhibited when said plant is in contact with aluminum. In one embodiment the inbred plant is an aluminum tolerant alfalfa plant. Also included in the invention is an alfalfa plant having a genome, wherein said genome comprises one or more genetic loci conferring aluminum tolerance, wherein said one or more genetic loci associated with one or more genetic markers linked thereto.


In one aspect, additional sources of aluminum tolerance for use in a breeding program can be identified by screening alfalfa germplasm for aluminum tolerance. In a yet another aspect, alfalfa plants can be screened for aluminum tolerance by identifying germplasm exhibiting reduced aluminum toxicity relative to a control alfalfa plant after inoculation or infection. In one aspect, alfalfa plants can be screened for aluminum tolerance using a method as described in Example 2. In another aspect, alfalfa plants can be screened for aluminum tolerance using a method as described in Example 3.


In another aspect, additional sources of aluminum tolerance for use in a breeding program can be identified by screening with one or more molecular markers linked to a genetic locus conferring aluminum tolerance.


In another aspect, aluminum tolerant alfalfa plants, varieties, lines or cultivars can be used in breeding programs to combine aluminum tolerance with additional traits of interest. In one aspect, aluminum tolerance can be combined with any additional trait, including other disease resistant traits, yield traits, and hay quality traits. Breeding programs can also be used to combine aluminum tolerance with one or more disease resistant traits. In another aspect, the traits that are combined can be co-inherited in subsequent crosses.


The present invention also provides for parts of the aluminum tolerant alfalfa plants produced by a method of the present invention. Parts of alfalfa plants, without limitation, include plant cells or parts of plant cells, seed, endosperm, meristem, flower, anther, ovule, pollen, callus, flowers, stems, roots, stalks or leaves, scions, and root stocks. In one embodiment of the present invention, the plant part is a seed.


The invention further provides for parts of an aluminum tolerant alfalfa plant having a genome, which comprises at least one genetic locus giving rise to aluminum tolerance in the alfalfa plant. In another embodiment, parts of alfalfa plants are derived from an alfalfa plant selected from the group consisting of Altet1, Altet2, Altet3 and Altet4, and aluminum tolerant descendants thereof.


One aspect of the invention includes a aluminum tolerant alfalfa plant, or the hay or seeds thereof, wherein the alfalfa plant, or the hay or seeds thereof, expresses one, or two, or three, or more independently selected desirable traits in addition to aluminum tolerance. In other aspects of the invention, the plants bearing one or more desirable traits in addition to aluminum tolerance display a greater than 10%, or a greater than 30%, or a greater than 60%, or a greater than 80% reduction in of aluminum toxicity symptoms relative to a non-resistant control plant upon exposure to aluminum. Another aspect of the present invention is directed to a method of producing an aluminum tolerant alfalfa plant comprising: crossing an aluminum tolerant alfalfa plant, or a plant from an aluminum tolerant alfalfa line, cultivar or variety with a second plant lacking aluminum tolerance but capable of donating one or more of the aforementioned desirable traits.


EXAMPLES

The following examples are included to demonstrate preferred embodiments of the invention. It should be appreciated by those of skill in the art that the techniques disclosed in the examples which follow represent techniques discovered by the inventors to function well in the practice of the invention, and thus can be considered to constitute preferred modes for its practice. However, those of skill in the art should, in light of the present disclosure, appreciate that many changes can be made in the specific embodiments which are disclosed and still obtain a like or similar result without departing from the spirit and scope of the invention.


Example 1
Generation of Plant Materials

The diploid Al-tolerant alfalfa Al-4 (Narasimhamoorthy et al., Theor Appl Genet 114:901-91, 2007b) was crossed with individual genotypes from the synthetic non-dormant tetraploid variety CUF 101 (Lehman et al., Crop Sci 23 398-399, 1983) to produce seeds from Altet-1 through Altet-4. Altet-4 (Al-tolerant) was manually crossed in the greenhouse with NECS-141 (semi-dormant breeding line developed in Iowa and derived from a strain cross between 5454, Oneida VR, and Apica). A total of 185 individuals from the NECS141Altet4 population were used for phenotyping and mapping. Of these, 110 F1 progeny were derived from Altet-4 as the maternal parent and 75 individuals had NECS-141 as the maternal parent. Individual F1 seeds were stored for 72 h at −20 C.°, scarified using sand-paper, and planted in a germination mix in the greenhouse. Stem cuttings of individual genotypes were collected from the greenhouse and sterilized using 70% EtOH for 5 min followed by rinsing 3X with sterilized double distilled water for 5 min. All genotypes were clonally propagated in modified MS medium (Murashige and Skoog, Physiol Plant 15:473-797, 1962) containing the MS basal salt mixture (PhytoTechnology Laboratories, product number M524) containing 2 mg/l of Indole-3-butyric acid (IBA) and 2% sucrose (Invitrogen, catalog number 15503-022) using the axillary and terminal meristems.


Example 2
Callus Bioassay Assay (CBA) for Evaluating Aluminum Tolerance

Individuals from the NECS141Altet4 population, NECS-141, Altet-1 through Altet-4, and the CUF101-derived genotypes 95-608 and 95-653, were evaluated for their Al-tolerance response using Blaydes medium (ALB) to induce callus formation (Parrot and Bouton, 1990). Half of a single 2-week-old callus was transferred to Blaydes media with Al (“ALB+” with 400 μM of Al supplied by AlCl3, pH 4.0) and the other half was transferred to Blaydes medium without Al (“ALB−” at pH 4.0) as previously described (Parrot and Bouton, Crop Sci 30:387-389, 1990). Individual calli were weighed and transferred to fresh ALB+ and ALB− media at one week intervals for 8 weeks to determine the relative growth rate of each genotype. The experimental design was a randomized complete block design with three replications, each of which consisted of five individual calli per genotype per treatment.


Example 3
Whole-Plant Assay (WPA) for Evaluating Aluminum Tolerance

Vegetatively propagated alfalfa clones (stem cuttings) from each individual in the mapping population were used to evaluate the same genotype across replications and treatments using a culture media adapted from Ma et al., (Nature 390:569-570, 1997) containing 200 μM CaCl2, 1.4% Gelzan, either 0, 50 μM or 1 mM Al supplied as AlCl3, and pH 7.0 or 4.0 adjusted using 1 N HCl. Apical stem cuttings were rooted in least macro salt (LMS) medium which consisted of 0.1 mM CaCl2, 500 μM KNO3 and 500 μM MgSO4 and 1.2% Gelzan. Cuttings with visually uniform root size and lateral root number were transferred to CaCl2 medium −Al and +Al (1 mM AlCl3). Plant evaluations using both the callus bioassay and the whole plant assay in media were conducted in controlled-environment growth chambers at 25° C. and 18 h light photoperiod. Quantification of total root length, lateral root numbers, and branching was performed using the winRHIZO® software (Regent Instruments, Québec, Canada) commonly used to identify quantitative differences in root branching and length (Jahufer et al., Crop Sci. 48:487-494, 2008; Zhu et al., Funct. Plant Biol. 32:749-762, 2005). The absolute root growth and ratio of root characteristics (biomass, length, and branching) after 2 weeks of growth in Al+ and Al− media were used as quantitative measurements to determine Al tolerance.


Example 4
Genotyping and QTL Identification

Genomic DNA from each individual from the NECS141Altet4 mapping population was extracted separately using DNeasy™ Plant Mini Kit (QIAGEN, Cat. No. 69104, Valencia, USA). A total of 1024 EST-SSR primer pairs distributed throughout the alfalfa linkage groups (Sledge et al., Theor Appl Genet 111:980-992, 2005) and those developed from alfalfa trichome ESTs (Mtri) were used to evaluate polymorphism between Altet-4, 95-608, and NECS-141 and genotyping as previously described (Zhang et al., Plant Methods 4:19, 2008). A total of 538 polymorphic SSR primers pairs were used for genotyping and to identify any selfed progeny (exemplary primers are provided in Table 1). Genes implicated in the Al tolerance response in other species, including those involved in organic acid synthesis (malate dehydrogenase, aluminum-activated malate transporter (ALMT), citrate synthase, citrate dehydrogenase, isocitrate dehydrogenase, oxalate oxidase, superoxide dismutase, acid phosphatases, peroxidases), signal transduction pathways, oxidative stress (phosphoenolpyruvate carboxylase, PEPC), and transporters (Ermolayev et al., Exp Bot 54:2745-2756, 2003; Maron et al., 2008; Tesfaye et al., Pl. Physiol. 127:1836-1844, 2001) were used to identify homologous genes in M. truncatula and to design molecular markers. Additional gene targets for marker development included Al responsive genes identified from transcript profiling in Medicago truncatula (Chandran et al., 2008).


Amplicons obtained using microsatellites were visualized and scored using GeneMapper™ 3.7 software. PCR reactions producing single amplification products using primers designed from putative orthologs of candidate genes implicated in Al tolerance were used to identify length polymorphism or sequenced with the BigDye® terminator v3.1 cycle sequencing kit (Applied Biosystems) and analyzed using an ABI3730 genetic analyzer to confirm amplification of the target sequence and identify candidate SNPs. Polymorphic amplicons segregating in the population were scored as described by Hackett et al. (J Hered 94:358-359, 2003). Simplex (1:1), duplex (5:1), and double simplex (3:1) markers were scored based on their segregation ratio in the population to achieve maximum resolution on the parental linkage map. Recombination frequencies and clustering of markers into linkage groups (LGs) was performed using the software TetraploidMap (Hackett et al., Genetics 159:1819-1832, 2001; Hackett et al., J. Hered. 98:727-729, 2007) previously used for mapping in alfalfa (Julier et al., BMC Plant Biol. 3:9, 2003; Robins et al., Crop Sci. 48:1780-1786, 2008; Robins et al., Crop Sci. 47:11-16, 2007). MapChart (Voorrips, J. Hered. 93:77-78, 2002) was used to construct the resulting linkage groups (LG). Interval mapping for autotetraploid species was implemented for QTL analysis as described by (Hackett et al., Genetics 159:1819-1832, 2001). The ‘TetraploidMap’ software program (Hackett and Luo, J Hered 94:358-359, 2003) was used for all analytical procedures for QTL interval mapping. Multiple regression analysis for each of the identified QTLs was performed to determine the allelic effect at each QTL region.









TABLE 1







 Alfalfa genomic and trichome EST-SSRs used to genotype the mapping populations.









Primer ID
Reverse primer sequence
Forward primer sequence





122161-41
CCACGTTGTTGAACAGTGGAAATG (SEQ ID
TGTAAAACGACGGCCAGTGCGAACTTGTTTCCGATGATGC (SEQ ID NO: 2)



NO: 1)






1a07.aac.
GAGCCATGTTGTTGGTGTTG (SEQ ID NO: 3)
TGTAAAACGACGGCCAGTTTGGTTGGTGGGGTTATCAT(SEQ ID NO: 4)


5-1







1a09.ggt.
TCTCTGGTCAGCACCAACTG (SEQ ID NO: 5)
TGTAAAACGACGGCCAGTGCATGGTGAGAGACGTCGTA (SEQ ID NO: 6)


5-1







1b08.aga.
TGGAGGGAAATGATTTAGCG (SEQ ID NO: 7)
TGTAAAACGACGGCCAGTAACGAAAACGAAAACGAACG (SEQ ID NO: 8)


7-1







1b11.gtg.
AACCTCCTCGACAACATTGG (SEQ ID NO: 9)
TGTAAAACGACGGCCAGTACCTGGGATTGGGTTAGGAC (SEQ ID NO: 10)


6-1







1b12.ttc.
GTCGTCGTAGAGTGGGGTGT(SEQ ID NO: 11)
TGTAAAACGACGGCCAGTGAGTGGCCATGGATTCAAAC (SEQ ID NO: 12)


5-1







1c06.tta.
CAAATGAGAGCACGTTGTGAA (SEQ ID NO: 13)
TGTAAAACGACGGCCAGTATCATATTGGCTTGGTGCAA (SEQ ID NO: 14)


6-1







1c09.gat.
TTTTCCATTCCCACCTACCA (SEQ ID NO: 15)
TGTAAAACGACGGCCAGTTTTGGAAAACACTTGCCCAC (SEQ ID NO: 16)


6-1







1c11.tgg.
TTGCCCTTTTGTCCAAGAAC (SEQ ID NO: 17)
TGTAAAACGACGGCCAGTGACGAGAGTCCCATCAGAGC (SEQ ID NO: 18)


5-1







1c12.tgt.
TTACGATCTGGCTTGGAACC (SEQ ID NO: 19)
TGTAAAACGACGGCCAGTCTCGACCTGCACGACAATTA (SEQ ID NO: 20)


5-1







1d06.gaa.
GAAGGTTTTGGGTGGTGATG (SEQ ID NO: 21)
TGTAAAACGACGGCCAGTCCATGGCTCTTTCCTACCAA (SEQ ID NO: 22)


6-1







1e04.aaat.
GACCGGGATTGATGGATATG (SEQ ID NO: 23)
TGTAAAACGACGGCCAGTAACAAGAGATGGGAGGAAAAA (SEQ ID


4-1

NO: 24)





1e04.tatc.
TGTTTCTGATCAGGGCATTG (SEQ ID NO: 25)
TGTAAAACGACGGCCAGTTCTAGGTATTCGCTGGCGTT(SEQ ID NO: 26)


4-1







1e08.gat.
ACTTCCTGACGGTCCTCCTT(SEQ ID NO: 27)
TGTAAAACGACGGCCAGTGGCGCATAATCACCATTACC (SEQ ID NO: 28)


5-1







1e08.tttc.
TCCTTCTGGACAAGAAACCG (SEQ ID NO: 29)
TGTAAAACGACGGCCAGTTCCATCACGACATATTTCACTTTT(SEQ ID


4-1

NO: 30)





1f02.tat.
TGATGCTGTCCTATGCCAAG (SEQ ID NO: 31)
TGTAAAACGACGGCCAGTTGGAAAAGGCTTTGACTGTTG (SEQ ID NO: 32)


6-1







1f08.att.
TGATGGATGCAATAGGGGAT(SEQ ID NO: 33)
TGTAAAACGACGGCCAGTTGACATCATATGCACGGTCC (SEQ ID NO: 34)


6-1







1f08.tat.
ATGAAGGTCATTGCAAGGCT(SEQ ID NO: 35)
TGTAAAACGACGGCCAGTCTGCTGACTTCTGTCTGGCA (SEQ ID NO: 36)


6-1







1f10.ttg.
AGTGCCGCTATGCTGCTATT(SEQ ID NO: 37)
TGTAAAACGACGGCCAGTTTGATCCATGTAGCCAACCC (SEQ ID NO: 38)


6-1







1f11.aatt.
TTGAAAAGACACGGGGAAGT(SEQ ID NO: 39)
TGTAAAACGACGGCCAGTCCACAAAAGCAGATGGTTGA (SEQ ID NO: 40)


4-1







1f11.caa.
TTGGTGAGAGCTGGTGATTG (SEQ ID NO: 41)
TGTAAAACGACGGCCAGTTTACCGCTTTTGGATTCTGG (SEQ ID NO: 42)


5-1







1g03.gaa.
TTTATCGGCGAAGAAGATCG (SEQ ID NO: 43)
TGTAAAACGACGGCCAGTTCCCGCTTCACTTCACTTTC (SEQ ID NO: 44)


5-1







1g05.cata.
CCCTAAATCAGGGGTTCAAA (SEQ ID NO: 45)
TGTAAAACGACGGCCAGTCACTCATTGCTGAGGGCATA (SEQ ID NO: 46)


17-1







1g05.tct.
TCAGAAATTCCCTCCCATTG (SEQ ID NO: 47)
TGTAAAACGACGGCCAGTAAGAATGACGAAGAGGCGAA (SEQ ID NO: 48)


12-1







1h03.aatt.
TGATTCAAGGATGGGAAAGC (SEQ ID NO: 49)
TGTAAAACGACGGCCAGTTGTCTTCCGTGGTCTCACTG (SEQ ID NO: 50)


4-1







1h03.ata.
GAGTTTCTGAATTCGCCGTC (SEQ ID NO: 51)
TGTAAAACGACGGCCAGTTCGGCATCAATCATGTCATC (SEQ ID NO: 52)


9-1







1h09.aat.
CGATAATTCACCCCCATGAC (SEQ ID NO: 53)
TGTAAAACGACGGCCAGTCACAATCAAATGCATAGCCG (SEQ ID NO: 54)


11-1







2a03.aga.
TCGAGAGCTCGGTATTCGAT(SEQ ID NO: 55)
TGTAAAACGACGGCCAGTATCCAAGGGCGGTAGAAGAC (SEQ ID NO: 56)


5-1







2a03.gaa.
TCGAGAGCTCGGTATTCGAT(SEQ ID NO: 57)
TGTAAAACGACGGCCAGTGTGTGGAAGAGACCGGAGAA (SEQ ID NO: 58)


8-1







2a03.tga.
AAGCACTCTGAGCCACCATT(SEQ ID NO: 59)
TGTAAAACGACGGCCAGTTGAGGAAATTCTTGGGAGGA (SEQ ID NO: 60)


5-1







2a07.tatt.
GCAGGGACGAAACCAGAATA (SEQ ID NO: 61)
TGTAAAACGACGGCCAGTTTGCACTTCCACTAAATGACTTG (SEQ ID


4-1

NO: 62)





2a09.aac.
CCCTCCAATCAAGAAACAGC (SEQ ID NO: 63)
TGTAAAACGACGGCCAGTCCCAATTCCAAACCAGAAAA (SEQ ID NO: 64)


6-1







2a09.ttta.
GACCATTGATCATGTCTCACG (SEQ ID NO: 65)
TGTAAAACGACGGCCAGTCCAGATTGCTTACCAGGGAC (SEQ ID NO: 66)


4-1







2c06.ctc.
AACAACCAAACTTGGCCTTG (SEQ ID NO: 67)
TGTAAAACGACGGCCAGTTGGTCGAAGGAAGCAGAGAT(SEQ ID NO: 68)


8-1







2c06.gat.
ACTTCCATTGCCGCTTCTAA (SEQ ID NO: 69)
TGTAAAACGACGGCCAGTTGTGGCGAAGTAACGAAGAA (SEQ ID NO: 70)


6-1







2c06.tta.
AAACCAATGATATCAAACTCCCTT(SEQ ID
TGTAAAACGACGGCCAGTAAAAAGTCATGCTACAAATCATAAAAA (SEQ


9-1
NO: 71)
ID NO: 72)





2c12.gga.
AAATGGATTCGAACTCACGC (SEQ ID NO: 73)
TGTAAAACGACGGCCAGTAAGAAGAAAAATGGCAGGAGG (SEQ ID


5-1

NO: 74)





2c12.tta.
AGCCTCAAGCAGTCGTTGAC (SEQ ID NO: 75)
TGTAAAACGACGGCCAGTGGAGGGGAGCAAATCTCTTT(SEQ ID NO: 76)


5-1







3c02.ata.
ACTCGCTCCCTAGGGTTTGT(SEQ ID NO: 77)
TGTAAAACGACGGCCAGTCCCCCAAATCCAAGAAGATT(SEQ ID NO: 78)


9-1







3d03.atc.
TGTGAACATCAGGAGGTGGA (SEQ ID NO: 79)
TGTAAAACGACGGCCAGTGTGAATGGTGGTCGTCTTCA (SEQ ID NO: 80)


5-1







3d03.cat.
AACCATGCGGTGGTTAGGTA (SEQ ID NO: 81)
TGTAAAACGACGGCCAGTCGTCATCATCATCATCACCA (SEQ ID NO: 82)


6-1







3d03.cat.
TGAATGGAATCATGCAGAGG (SEQ ID NO: 83)
TGTAAAACGACGGCCAGTAACGGGTGGTCTTGTGATTG (SEQ ID NO: 84)


7-1







3d03.tca.
TTTTCGATCATGCCATTTGA (SEQ ID NO: 85)
TGTAAAACGACGGCCAGTTTTGCACCAATGGGTAGTTC (SEQ ID NO: 86)


5-1







3e10.cag.
AGCATTTGCAGTGCTAGGGT(SEQ ID NO: 87)
TGTAAAACGACGGCCAGTACAGCAACAGCAACAACAGC (SEQ ID NO: 88)


6-1







3f10.gtt.
GAAGCTATTTGGGCGAGCTT(SEQ ID NO: 89)
TGTAAAACGACGGCCAGTCATTATGGCGTCATTTGATCC (SEQ ID NO: 90)


8-1







3g06.aga.
GACACCGTTTTCGGTGATTT(SEQ ID NO: 91)
TGTAAAACGACGGCCAGTTGAAACACGTTCCCACAAAG (SEQ ID NO: 92)


9-1







AA04
GAACTATCACCTTTCCCTTGGA (SEQ ID
TGTAAAACGACGGCCAGTATTCCGGTCGTCAGAATCAG (SEQ ID NO: 94)



NO: 93)






AA06
AGCAGGTGGAAGAATTGGTG (SEQ ID NO: 95)
TGTAAAACGACGGCCAGTCGCGTGTGTTTAGAGAGAGAGA (SEQ ID




NO: 96)





AC126014
TTCTTCTTGGACTTGCACCA (SEQ ID NO: 97)
TGTAAAACGACGGCCAGTTAAGGATGACCCAACCAAGC (SEQ ID NO: 98)





AC155884
TTCTTAGCTTGAAGGGCACG (SEQ ID NO: 99)
TGTAAAACGACGGCCAGTCCATTCCTGGTTGTCAGTCC (SEQ ID NO: 100)





AFct11
TTGTGTGGAAAGAATAGGAA (SEQ ID NO: 101)
TGTAAAACGACGGCCAGTGGACAGAGCAAAAGAACAAT(SEQ ID




NO: 102)





AFct45
GCCATCTTTTCTTTTGCTTC (SEQ ID NO: 103)
TGTAAAACGACGGCCAGTTAAAAAACGGAAAGAGTTGGTTAG (SEQ ID




NO: 104)





AI01
TTGAAAATTGGGAACGGAAA (SEQ ID NO: 105)
TGTAAAACGACGGCCAGTGTTGGAGTGGGAAATTGCAG (SEQ ID NO: 106)





AJ02
GGAAGAGGGAGAAGGAGATGA (SEQ ID
TGTAAAACGACGGCCAGTTCAATGGCGAACACTTTCAC (SEQ ID NO: 108)



NO: 107)






AL111
TGCAGCCAGGTGAATAACAA (SEQ ID NO: 109)
TGTAAAACGACGGCCAGTCATCTGATGGTGGTGATTGG (SEQ ID NO: 110)





AL64
CCAATATGTCACTCCTTGCTGA (SEQ ID
TGTAAAACGACGGCCAGTAGGTGGCAAGCCTAACTGAA (SEQ ID



NO: 111)
NO: 112)





AL79
TCCTCAACCAACCACTTCCT(SEQ ID NO: 113)
TGTAAAACGACGGCCAGTCCCCATTGACGCATTCTTAC (SEQ ID NO: 114)





AL81
GTGGTGGAGAAGGAGCAATC (SEQ ID NO: 115)
TGTAAAACGACGGCCAGTCAATCCTCCACCATCACCTT(SEQ ID NO: 116)





AL83
CGTTACCGTCACTGTCGTTG (SEQ ID NO: 117)
TGTAAAACGACGGCCAGTCAAACCTGATTCCGACCCTA (SEQ ID NO: 118)





AL84
CTGCACCCCCTAAAAATCAA (SEQ ID NO: 119)
TGTAAAACGACGGCCAGTCTCATTGCCCTTCTCACACA (SEQ ID NO: 120)





AL92
TGACTCTTGCATGCAGTTCC (SEQ ID NO: 121)
TGTAAAACGACGGCCAGTTGCTCCTCCTCTGCTTCTTC (SEQ ID NO: 122)





AL96
GCCCCCTCACGTTTTTATTT(SEQ ID NO: 123)
TGTAAAACGACGGCCAGTCAATTTTGGTTGGTTATGCTCA (SEQ ID




NO: 124)





AL97
TCCCTCTTACACCTCTCATGC (SEQ ID
TGTAAAACGACGGCCAGTTCTCCTTGGAATTGAACCTG (SEQ ID NO: 126)



NO: 125)






AL99
CAGAAATTTCCATGCCAAAA (SEQ ID NO: 127)
TGTAAAACGACGGCCAGTAGTTGTGGATTGGGTGAAGC (SEQ ID NO: 128)





AW107
AAACATCGGCTTCGGAAGTA (SEQ ID NO: 129)
TGTAAAACGACGGCCAGTTTTTTGAGCAGTGTAATGGTGTAA (SEQ ID




NO: 130)





AW108
CCATGGCGTCTACCCATTAT(SEQ ID NO: 131)
TGTAAAACGACGGCCAGTTTTTTCACAGCACTGAAGAGG (SEQ ID




NO: 132)





AW11
GACATTTGCAGACCACCATT(SEQ ID NO: 133)
TGTAAAACGACGGCCAGTATTCGCAGTGAGCTGATCCT(SEQ ID NO: 134)





AW123
CATGTTTCCGGTTCTGGTTT(SEQ ID NO: 135)
TGTAAAACGACGGCCAGTAGTCCCTGCAAAATCCCTTC (SEQ ID NO: 136)





AW134
TGGAAACAGCAAAACCACCT(SEQ ID NO: 137)
TGTAAAACGACGGCCAGTTCCGAAATCTGAAACCAACC (SEQ ID NO: 138)





AW150
TCCACAAATGTCTAAAACCAACA (SEQ ID
TGTAAAACGACGGCCAGTTTTTGTGTAGGGATGCAAAGG (SEQ ID



NO: 139)
NO: 140)





AW16
GTGGGGTTGGTGAGAGTGTT(SEQ ID NO: 141)
TGTAAAACGACGGCCAGTATCGTCCCCACTGTGTCTTC (SEQ ID NO: 142)





AW177
CAGCAAAATCCAATCCTTCAG (SEQ ID
TGTAAAACGACGGCCAGTTTCTCATCGTCACTCCAAAGAA (SEQ ID



NO: 143)
NO: 144)





AW186
TGCTTGAACTTTGAGTCTTGGA (SEQ ID
TGTAAAACGACGGCCAGTTCTCTCCATCATCACCATCATC (SEQ ID



NO: 145)
NO: 146)





AW193
GACAGAACCTTTGCCGATTTT(SEQ ID
TGTAAAACGACGGCCAGTGCACCAGCAGAGTAGAAGTAGC (SEQ ID



NO: 147)
NO: 148)





AW196
AACTCGCAGGTGTTTTATCGTT(SEQ ID
TGTAAAACGACGGCCAGTAATCTCAACCGCAACAAACTCT(SEQ ID



NO: 149)
NO: 150)





AW199
CATGGAGAAGCAGAACTGGAG (SEQ ID
TGTAAAACGACGGCCAGTCCAAACAACAACCAACTCTCTG (SEQ ID



NO: 151)
NO: 152)





AW201
CCGTCTTTACATGAATCCACAA (SEQ ID
TGTAAAACGACGGCCAGTCACAGTCATCATCCTTGCTCTC (SEQ ID



NO: 153)
NO: 154)





AW212
GGTTAGGGTTTTGGGTTTGAA (SEQ ID
TGTAAAACGACGGCCAGTGTCGAAATGGTTGCTTCTCTTT(SEQ ID



NO: 155)
NO: 156)





AW213
CATGTACGGGGATTGTTGTTTT(SEQ ID
TGTAAAACGACGGCCAGTACCCTTGTGGGTTCTTCTTCTT(SEQ ID



NO: 157)
NO: 158)





AW220
TGCTGCTGTGCCGTAGTAGATA (SEQ ID
TGTAAAACGACGGCCAGTGCCACAATTTTCTCATCATCAC (SEQ ID



NO: 159)
NO: 160)





AW232
AGCACTTTGTTCATCGTTCTGA (SEQ ID
TGTAAAACGACGGCCAGTAAGAGAGTATCGTGGAGCCGTA (SEQ ID



NO: 161)
NO: 162)





AW252
CTTGAGAAAGCGAAGGTTTTGT(SEQ ID
TGTAAAACGACGGCCAGTCTCGTTCATTAGCAGTTGCAGT(SEQ ID



NO: 163)
NO: 164)





AW254
CACATCTTCGTCATCATCTTCA (SEQ ID
TGTAAAACGACGGCCAGTTATATGCTTGTTGAGGCCACTG (SEQ ID



NO: 165)
NO: 166)





AW255
TGCTTGAACTTTGAGTCTTGGA (SEQ ID
TGTAAAACGACGGCCAGTTCTCTCCATCATCACCATCATC (SEQ ID



NO: 167)
NO: 168)





AW258
GAGTATCGGAAGAGGGTTGTTG (SEQ ID
TGTAAAACGACGGCCAGTAATTGGAACCTATCGTTGTCGT(SEQ ID



NO: 169)
NO: 170)





AW260
GCATAGGAACCAGCTCTAATGG (SEQ ID
TGTAAAACGACGGCCAGTACGAGGGATTGTTGTTTGAGAT(SEQ ID



NO: 171)
NO: 172)





AW285
CAACTGTGAACGCAAATCTCTC (SEQ ID
TGTAAAACGACGGCCAGTAACGACGCTCTTCGACTACTTC (SEQ ID



NO: 173)
NO: 174)





AW289
GGTGCTTTCATTACATCCCATA (SEQ ID
TGTAAAACGACGGCCAGTACGAGGCACACACTCTCTCTCT(SEQ ID



NO: 175)
NO: 176)





AW306
GTGTTCGTCGCATATCACCTC (SEQ ID
TGTAAAACGACGGCCAGTGCATTTCCCTCTCTTTCCATAA (SEQ ID



NO: 177)
NO: 178)





AW310
CAATGCAAGAAACCCTAAAAGC (SEQ ID
TGTAAAACGACGGCCAGTCCACTCAACCTCATCTCTCTACC (SEQ ID



NO: 179)
NO: 180)





AW317
TTTTCGATTAGGTCGTGGATCT(SEQ ID
TGTAAAACGACGGCCAGTACGCACATTTCCATTCTCATTC (SEQ ID



NO: 181)
NO: 182)





AW325
GCTTGTTGTTGTTGTTGATGCT(SEQ ID
TGTAAAACGACGGCCAGTTCTGTAAGAGGGTCACTGCGTA (SEQ ID



NO: 183)
NO: 184)





AW326
GCATATCCATTCCAAGTTCATC (SEQ ID
TGTAAAACGACGGCCAGTACTTTCTTCCTCATTGCTCTGC (SEQ ID



NO: 185)
NO: 186)





AW329771
ATCCCATTCAAGGAAACACC (SEQ ID NO: 187)
TGTAAAACGACGGCCAGTGGAATAATGCTGGTGGAAGC (SEQ ID




NO: 188)





AW334
CGATGTTTGTTTGAGCTAGTGA (SEQ ID
TGTAAAACGACGGCCAGTGAGAGAGAGAGAGAGCATTGAGC (SEQ ID



NO: 189)
NO: 190)





AW347
GAACGGGTTTGCGATCTTT(SEQ ID NO: 191)
TGTAAAACGACGGCCAGTCCATGTCTCTCAATCTTCGTCA (SEQ ID




NO: 192)





AW352
ATCTCCTCGTGTATTCCTTCCA (SEQ ID
TGTAAAACGACGGCCAGTACGTTCCTCCTTCATCTCGTAA (SEQ ID



NO: 193)
NO: 194)





AW359
TTCAAGGATCTGGTGATGATGA (SEQ ID
TGTAAAACGACGGCCAGTGAGGAAGAGGAAGAGGAGGAAG (SEQ ID



NO: 195)
NO: 196)





AW365
TGTTGGTAATGTTCAAGCTCCA (SEQ ID
TGTAAAACGACGGCCAGTCACCACTATCTCTTCCCTCACC (SEQ ID



NO: 197)
NO: 198)





AW369
AGAATTGAGACATGGCAGAGG (SEQ ID
TGTAAAACGACGGCCAGTGCGCTCATCATCTTCATCTAAA (SEQ ID



NO: 199)
NO: 200)





AW379
TTCTCGAAATCTTCTGCTCTCG (SEQ ID
TGTAAAACGACGGCCAGTGTCTCTCTCTATTCTCTTCCCTTTTC (SEQ ID



NO: 201)
NO: 202)





AW389
GCAGCCTTCAAATCTCCATAAC (SEQ ID
TGTAAAACGACGGCCAGTTCACTCTCTCACCAATCACCAC (SEQ ID



NO: 203)
NO: 204)





AW64
CATGTTTCCGGTTCTGGTTT(SEQ ID NO: 205)
TGTAAAACGACGGCCAGTAGTCCCTGCAAAATCCCTTC (SEQ ID NO: 206)





AW86
TTGTTGCAGCAATTAAGGAAGA (SEQ ID
TGTAAAACGACGGCCAGTATTGCCATTGCCTCTCTCAT(SEQ ID NO: 208)



NO: 207)






AW97
ACAAAAACTCTCCCGGCTTT(SEQ ID NO: 209)
TGTAAAACGACGGCCAGTCAAAACAATCAAACCAAAGATTG (SEQ ID




NO: 210)





AW98
ATTCATCCTTGCTCGTTTCG (SEQ ID NO: 211)
TGTAAAACGACGGCCAGTGATCAATTCGTGCAGAAGCA (SEQ ID NO: 212)





BE105
AAGGGCAAAACCGTAAAAGAGT(SEQ ID
TGTAAAACGACGGCCAGTATCACCCCAAACCACATCTATC (SEQ ID



NO: 213)
NO: 214)





BE112
AGCGAGATAGATTTCACCGAAG (SEQ ID
TGTAAAACGACGGCCAGTTTCATTTCATAGTTTTCCATTGC (SEQ ID



NO: 215)
NO: 216)





BE118
TGCAAACTTCACCGAATAGATG (SEQ ID
TGTAAAACGACGGCCAGTCTCCTTTGTAACGCAACAGCAG (SEQ ID



NO: 217)
NO: 218)





BE120
CATCATCCTTCATTTCCGATCT(SEQ ID
TGTAAAACGACGGCCAGTTCTCACATTCACATTCCATTCC (SEQ ID



NO: 219)
NO: 220)





BE123
TTGATGGGTAAAGGAGAAGGTG (SEQ ID
TGTAAAACGACGGCCAGTATCACAAGCCTCAACAGCCATA (SEQ ID



NO: 221)
NO: 222)





BE41
ACGCCTCTCTTTCCGATCTT(SEQ ID NO: 223)
TGTAAAACGACGGCCAGTTCACTCACACTCAACACACAACA (SEQ ID




NO: 224)





BE67
CACCAGCCTCTAAGCTCATTTT(SEQ ID
TGTAAAACGACGGCCAGTCTCCATTCTCCATTTCAATACC (SEQ ID



NO: 225)
NO: 226)





BE74
GCACAAGCAGCCATATTGATAG (SEQ ID
TGTAAAACGACGGCCAGTTACTGTCCCAATCTTCACAACG (SEQ ID



NO: 227)
NO: 228)





BE76
TGAAAGTTGAAGGATCTGGTGA (SEQ ID
TGTAAAACGACGGCCAGTGAGGAAGAGGAAGAGGAGGAAG (SEQ ID



NO: 229)
NO: 230)





BE84
TGGGATACTGATTTTCTGCTTC (SEQ ID
TGTAAAACGACGGCCAGTTCCGAACCCTACTTCCAAATTA (SEQ ID



NO: 231)
NO: 232)





BE85
CTGATTCGAGATTGGGATTGAT(SEQ ID
TGTAAAACGACGGCCAGTTTTCCTCTTATTATTCTTTCATACCC (SEQ ID



NO: 233)
NO: 234)





BE92
GATGAGGATGATGATGAATTGG (SEQ ID
TGTAAAACGACGGCCAGTAGTTCAAACCCTTACCCTTCA (SEQ ID



NO: 235)
NO: 236)





BF106
GTTTTCCTGGATATTTGGATGG (SEQ ID
TGTAAAACGACGGCCAGTTTCAATCTTCTCCTTTGATTGC (SEQ ID



NO: 237)
NO: 238)





BF111
TCAGTGAGAAGGTCGTTCATGT(SEQ ID
TGTAAAACGACGGCCAGTTGAGAGAGAGTTCGTGGGTTG (SEQ ID



NO: 239)
NO: 240)





BF119
GTGATGAAGCATTGGTGATGAT(SEQ ID
TGTAAAACGACGGCCAGTAATGGCGAACACTTTCACTCTT(SEQ ID



NO: 241)
NO: 242)





BF120
ATTTCAGAGGCAGATGGTGAAT(SEQ ID
TGTAAAACGACGGCCAGTTAGCAAAATGGGTCAACAAGTG (SEQ ID



NO: 243)
NO: 244)





BF132
AATCCAGCTTTGGAAGACTCAA (SEQ ID
TGTAAAACGACGGCCAGTTTCTTGTGGTGGTGATGAAAAC (SEQ ID



NO: 245)
NO: 246)





BF142
GTGTGTTCCCCAGTTCTCAGTT(SEQ ID
TGTAAAACGACGGCCAGTCATACCCTTCAAATCCAACCAT(SEQ ID



NO: 247)
NO: 248)





BF147
GATTGTTCTTTGGTAAGCCTCA (SEQ ID
TGTAAAACGACGGCCAGTACTGCAAGTGAAGAGGGAGAGA (SEQ ID



NO: 249)
NO: 250)





BF149
GCTTCTTTGGCTTTCTCTTCAA (SEQ ID
TGTAAAACGACGGCCAGTCGTTTCCCTCTCTCACTCACTT(SEQ ID



NO: 251)
NO: 252)





BF150
ATCAGAAACAGAAGCATCAGCA (SEQ ID
TGTAAAACGACGGCCAGTCTCCAAAACTCAAACTCAACCA (SEQ ID



NO: 253)
NO: 254)





BF184
CTAGACTTGCCGCTACTTTGG (SEQ ID
TGTAAAACGACGGCCAGTCAACAATCACCACACACATTGA (SEQ ID



NO: 255)
NO: 256)





BF215
GGAAACATAGATGAAGCAGCAA (SEQ ID
TGTAAAACGACGGCCAGTAGCAAGCAAAGAACAATCACAA (SEQ ID



NO: 257)
NO: 258)





BF218
TCGGATTTGGTTTTGAGTTTTC (SEQ ID
TGTAAAACGACGGCCAGTCTCAGGAGGTGCTGTTCTTCTT(SEQ ID



NO: 259)
NO: 260)





BF220
TGAGTTTTCAGATTCAGCAGGA (SEQ ID
TGTAAAACGACGGCCAGTATCATCGTCGTCGTGTTTATTG (SEQ ID



NO: 261)
NO: 262)





BF225
TTTTCATCTGTGCCCTGTAATG (SEQ ID
TGTAAAACGACGGCCAGTTCACTCACACTCAACACACAACA (SEQ ID



NO: 263)
NO: 264)





BF228
ATTAGAAGCTCCGTTACCGTCA (SEQ ID
TGTAAAACGACGGCCAGTATAACCAACTCCAAACCACACC (SEQ ID



NO: 265)
NO: 266)





BF24
TTGAAAATTGGGAACGGAAA (SEQ ID NO: 267)
TGTAAAACGACGGCCAGTGTTGGAGTGGGAAATTGCAG (SEQ ID NO: 268)





BF257
ATGCCAGGATGGTGATACATCT(SEQ ID
TGTAAAACGACGGCCAGTGGATTTGGGCGTGAGACTATAC (SEQ ID



NO: 269)
NO: 270)





BF26
TCAAAGTTGTTGTTCTGCTTGAA (SEQ ID




NO: 271)
TGTAAAACGACGGCCAGTTCTCACACCCCAAAAACACA (SEQ ID NO: 272)





BF56
TCAAAGTTGTTGTTCTGCTTGAA (SEQ ID




NO: 273)
TGTAAAACGACGGCCAGTTCTCACACCCCAAAAACACA (SEQ ID NO: 274)





BF65
AAGAGCAGAAGAAGGTTTGTCG (SEQ ID
TGTAAAACGACGGCCAGTACCTAAGCAAGCAAGGCAAA (SEQ ID



NO: 275)
NO: 276)





BF71
CGGTGAAATGGTGGAAGAAG (SEQ ID NO: 277)
TGTAAAACGACGGCCAGTTAACAAAACCCAACCCCATC (SEQ ID NO: 278)





BF79
GGTGTGGAGAGGGAGGGTAG (SEQ ID NO: 279)
TGTAAAACGACGGCCAGTCGAGGGATATTCTTTCCCTTAAA (SEQ ID




NO: 280)





BF97
CTACCTCCAGCAGAACCATGTC (SEQ ID
TGTAAAACGACGGCCAGTGTAACCATCCTTTGAGTTCGTCTG (SEQ ID



NO: 281)
NO: 282)





BG115
TGCATTTGTTAACGAGTGTGAA (SEQ ID
TGTAAAACGACGGCCAGTCCACAGAAGAAAGAAGAACTTGC (SEQ ID



NO: 283)
NO: 284)





BG119
TCGAGGCCAATAGAAGACCTAA (SEQ ID
TGTAAAACGACGGCCAGTGGTTCTCTTCCAATCCCTTCTT(SEQ ID



NO: 285)
NO: 286)





BG134
TTTTCAAGGAGGAGAAGATCCA (SEQ ID
TGTAAAACGACGGCCAGTACCCCACCTAACCCTCTACAGT(SEQ ID



NO: 287)
NO: 288)





BG142
TGTGGTGAAGAAACGGATAGAA (SEQ ID
TGTAAAACGACGGCCAGTAGTATCAATCTTTGGCGCTACC (SEQ ID



NO: 289)
NO: 290)





BG143
GGTAATCGTTGGCGTTGTTTAT(SEQ ID
TGTAAAACGACGGCCAGTTCAGGTAGTTGACGACGAAGAA (SEQ ID



NO: 291)
NO: 292)





BG157
CAACGCCTCCTCTTTCTCTGTA (SEQ ID
TGTAAAACGACGGCCAGTCTCAAAACCCTAACTTCTTCAACC (SEQ ID



NO: 293)
NO: 294)





BG166
CAACTGTGAACGCAAATCTCTC (SEQ ID
TGTAAAACGACGGCCAGTAACGACGCTCTTCGACTACTTC (SEQ ID



NO: 295)
NO: 296)





BG171
GGATCCAACCGAATTTCTTTC (SEQ ID
TGTAAAACGACGGCCAGTACCTAGCAACCCAAATCAGAAG (SEQ ID



NO: 297)
NO: 298)





BG172
CCTCGAAAAGATTACCGAACAC (SEQ ID
TGTAAAACGACGGCCAGTCGCCTTCTTCTTCAACACACTA (SEQ ID



NO: 299)
NO: 300)





BG178
TTCTCCTTGACCAACCTTGATT(SEQ ID
TGTAAAACGACGGCCAGTACCCACTCAACTCAACACACAC (SEQ ID



NO: 301)
NO: 302)





BG180
AGAAGGTGGAACACGTCTCTTC (SEQ ID
TGTAAAACGACGGCCAGTCTACAAGCCCAGATTTCAAAGG (SEQ ID



NO: 303)
NO: 304)





BG181
TTCGCAGTTCTTGAGTAGGTCA (SEQ ID
TGTAAAACGACGGCCAGTTACTTCATGTACCCCACAACCA (SEQ ID



NO: 305)
NO: 306)





BG186
TTGTCGATGAGTTCAACGTTTC (SEQ ID
TGTAAAACGACGGCCAGTACAACAAAACACAATGGGTGAC (SEQ ID



NO: 307)
NO: 308)





BG208
AGTAACCGCGAACCAAAGAGTA (SEQ ID
TGTAAAACGACGGCCAGTACACCTCGAACAAGATTCATCC (SEQ ID



NO: 309)
NO: 310)





BG218
ACCATATCCACAGGCATAATCC (SEQ ID
TGTAAAACGACGGCCAGTAATCCATACTCAAACCCACCAG (SEQ ID



NO: 311)
NO: 312)





BG222
ATCACGAGAACCGCCATAAGAT(SEQ ID
TGTAAAACGACGGCCAGTAGGGCTGATGAGGTGGATAAT(SEQ ID



NO: 313)
NO: 314)





BG229
GAACGGGTTTGCGATCTTT(SEQ ID NO: 315)
TGTAAAACGACGGCCAGTCCATGTCTCTCAATCTTCGTCA (SEQ ID




NO: 316)





BG231
GCATGTATGATTTACAGCTCCAAG (SEQ ID
TGTAAAACGACGGCCAGTCCACAGTTTCATTTTCTGTCCA (SEQ ID



NO: 317)
NO: 318)





BG232
TGCCTTTGATTAGTGCTGACAT(SEQ ID
TGTAAAACGACGGCCAGTCTCTGCTCCCATCTACTTCACA (SEQ ID



NO: 319)
NO: 320)





BG234
GCAACATACCATCCCCTAAAAG (SEQ ID
TGTAAAACGACGGCCAGTGCTGGAATACACCAAGCATGA (SEQ ID



NO: 321)
NO: 322)





BG248
ACATAAGCGACTGGAACAAACC (SEQ ID
TGTAAAACGACGGCCAGTGGATACAAAATCCACAAGCACA (SEQ ID



NO: 323)
NO: 324)





BG249
ACATAAGCGACTGGAACAAACC (SEQ ID
TGTAAAACGACGGCCAGTGGATACAAAATCCACAAGCACA (SEQ ID



NO: 325)
NO: 326)





BG257
ATTTCAGAGGCAGATGGTGAAT(SEQ ID
TGTAAAACGACGGCCAGTTAGCAAAATGGGTCAACAAGTG (SEQ ID



NO: 327)
NO: 328)





BG272
CAGGGGAATCAATCAGTCAAAG (SEQ ID
TGTAAAACGACGGCCAGTAAACAGAGAGACAGGAATTTGGA (SEQ ID



NO: 329)
NO: 330)





BG280
TGTTGAAGTTGGAGTTTTGGTG (SEQ ID
TGTAAAACGACGGCCAGTTCAGCAGTTAGTTTTGGTATGC (SEQ ID



NO: 331)
NO: 332)





BG281
GGTTGGAAACAAAGTCAGAACC (SEQ ID
TGTAAAACGACGGCCAGTACATCATCAACAGCAAAACCAG (SEQ ID



NO: 333)
NO: 334)





BG285
TGCTTCTTGGTTTCTCATCATC (SEQ ID
TGTAAAACGACGGCCAGTATGGTTATGTGGGTTGTGTTCA (SEQ ID



NO: 335)
NO: 336)





BG82
TTCCCATATGCAACAGACCTT(SEQ ID
TGTAAAACGACGGCCAGTAACGGTGGTGTGTTTATTGCT(SEQ ID



NO: 337)
NO: 338)





BG89
GGCAGGAACAGATCCTTGAA (SEQ ID NO: 339)
TGTAAAACGACGGCCAGTCGTAAACAAAGAAAAGCTTGAGAG (SEQ ID




NO: 340)





BG96
TTAACGAGGGTGGTGATGGT(SEQ ID NO: 341)
TGTAAAACGACGGCCAGTTCGATGTTATGGTAGCAGCAA (SEQ ID




NO: 342)





BI107
AGCAGTGATGTCTTGGCTATGT(SEQ ID
TGTAAAACGACGGCCAGTGTTTCCGGTTCTTTGTCGTTC (SEQ ID



NO: 343)
NO: 344)





BI113
AACATCGTAATGAGGAGGAGGA (SEQ ID
TGTAAAACGACGGCCAGTACAGTATCAGCAACACCAGCAG (SEQ ID



NO: 345)
NO: 346)





BI116
TCAACCCTTCAGATTTTCTTCC (SEQ ID
TGTAAAACGACGGCCAGTCACACTTTCTCGTTTGCTCTCT(SEQ ID



NO: 347)
NO: 348)





BI122
CAATTTCCTTAGTGGCCGTTAC (SEQ ID
TGTAAAACGACGGCCAGTTTATTAGCTGGGCTTTTCTTCG (SEQ ID



NO: 349)
NO: 350)





BI68
ATCAGCGTAAATTCTGGCCTTA (SEQ ID
TGTAAAACGACGGCCAGTCCATTCCAATCCACACTATCG (SEQ ID



NO: 351)
NO: 352)





BI75
CGTAGGAAGAAGGATCGAGTTC (SEQ ID
TGTAAAACGACGGCCAGTCCCAATTCAAAACGAAGAACC (SEQ ID



NO: 353)
NO: 354)





BI86
CGTCGAAGTCAAAATCAATCTC (SEQ ID
TGTAAAACGACGGCCAGTGAAAAGAAATCACCCCGAAGAT(SEQ ID



NO: 355)
NO: 356)





BI96
CTCATTCACCCAACCAAAATGT(SEQ ID
TGTAAAACGACGGCCAGTGGCTAATTCACCTGTTTCTGCT(SEQ ID



NO: 357)
NO: 358)





BI98
TCAACAGCCAACTCAAAGTGAT(SEQ ID
TGTAAAACGACGGCCAGTCATCAATCAACCCTTTCGTTTC (SEQ ID



NO: 359)
NO: 360)





MSCWSNP0386
TTAGAGATGGTAATTGCAGTGGAC (SEQ ID
TTGGTGGAAGTCATGTTTGG (SEQ ID NO: 362)



NO: 361)






MSCWSNP0406
AACAGGACTGTGTTGCACGTA (SEQ ID
CTGCTTCTGCTGATGGACAA (SEQ ID NO: 364)



NO: 363)






MSCWSNP0407
CCCACTGAGGGTACTCATGC (SEQ ID NO: 365)
AGCTGCAACAACTCCTCCAT(SEQ ID NO: 366)





MSCWSNP0453
GAAACTCAAAGGGCGATCACT(SEQ ID
AAGCGATATCAGAGGGTGGA (SEQ ID NO: 368)



NO: 367)






Mstir10581
CCTTGGCAGCTACAGGTACAG (SEQ ID
TGTAAAACGACGGCCAGTGTCTGCTGCTCCAGCTAAGAA (SEQ ID



NO: 369)
NO: 370)





Mstir10584
TCACATCAGCCCTAACATTCC (SEQ ID
TGTAAAACGACGGCCAGTCCAAATATCTTCGCTCTTCCA (SEQ ID



NO: 371)
NO: 372)





Mstir10649
GGATATCCTGGTGGAGGGTAA (SEQ ID
TGTAAAACGACGGCCAGTACAACCCCATTTCCAACTTTC (SEQ ID



NO: 373)
NO: 374)





Mstir10665
CCTCCAGGTCTAAGTCCCATT(SEQ ID
TGTAAAACGACGGCCAGTCCAATGCAGTTCGGTAATCC (SEQ ID NO: 376)



NO: 375)






Mstir10801
GGAGCAAACATTCTACCACCA (SEQ ID
TGTAAAACGACGGCCAGTTCACAAAACAAACCCTTCTTCT(SEQ ID



NO: 377)





NO: 378)





Mstir11087
TGACTTAGACACCACCGGAGT(SEQ ID
TGTAAAACGACGGCCAGTTCATCCATTCATTAAAACGCA (SEQ ID



NO: 379)
NO: 380)





Mstir11314
ATACACCATAGCACGAGACGC (SEQ ID
TGTAAAACGACGGCCAGTTAATTCGAGGAGGATTGTGGA (SEQ ID



NO: 381)
NO: 382)





Mstir11442
GGATCCATTACCAGACAGTGC (SEQ ID
TGTAAAACGACGGCCAGTTGATTTCACTTTAGCATCTTGTG (SEQ ID



NO: 383)
NO: 384)





Mstir11470
GGAGATGAAGAAGGAGATGGG (SEQ ID
TGTAAAACGACGGCCAGTTTGAAATAGTGCAAGAAGAACCC (SEQ ID



NO: 385)
NO: 386)





Mstir11523
TGTCACTTGTTCTGGTCCTTCT(SEQ ID
TGTAAAACGACGGCCAGTGGAGAGAGCAAAGTCTCTTCAA (SEQ ID



NO: 387)
NO: 388)





Mstir11989
CAGGAACATAACTGTGACCCG (SEQ ID
TGTAAAACGACGGCCAGTTCCTAATACCCCATTCATTGGT(SEQ ID



NO: 389)
NO: 390)





Mstir12038
GCCTTTAGGCCAATCAGAGAC (SEQ ID
TGTAAAACGACGGCCAGTAAGATTAGGGTTTGAGTAAGGGAA (SEQ ID



NO: 391)
NO: 392)





Mstir7231
ACATCTTCTGGAAGACCCGTT(SEQ ID
TGTAAAACGACGGCCAGTGGTAGTACTTCCTTCACTCTTCT(SEQ ID



NO: 393)
NO: 394)





Mstir7729
ATCTGGGAAGTGTGACCTCCT(SEQ ID
TGTAAAACGACGGCCAGTTCAAAACCTTGGTGTTGGTTG (SEQ ID



NO: 395)
NO: 396)





Mstir7771
CATACTATGGTGGTGGTTGGG (SEQ ID
TGTAAAACGACGGCCAGTCTCTTTAAGATTGCTTCTCTTGC (SEQ ID



NO: 397)
NO: 398)





Mstir8491
GGACGGTTTCGAACTTCTAGC (SEQ ID
TGTAAAACGACGGCCAGTCGAGGCATCTTCATCTTCAAC (SEQ ID



NO: 399)
NO: 400)





Mstir8637
GATAAAGCTCCCACAGTTCCC (SEQ ID
TGTAAAACGACGGCCAGTCTCTTTTCTCTTCAATTTTCAAT(SEQ ID



NO: 401)
NO: 402)





Mstir8931
TACAGTTGCCCATACAGGAGG (SEQ ID
TGTAAAACGACGGCCAGTCAAACAGGTGACGAGGTGAAT(SEQ ID



NO: 403)
NO: 404)





Mstir9329
ATCAAGATCGACTGAACCACG (SEQ ID
TGTAAAACGACGGCCAGTTTGGCTTTGATTGCTTCAACT(SEQ ID



NO: 405)
NO: 406)





Mstir9849
TGAGGCTTAACCTTAGGAGGC (SEQ ID
TGTAAAACGACGGCCAGTTTTCAAATCCAAGTGGTGGAG (SEQ ID



NO: 407)
NO: 408)





Mstri10127
GGGAAACCATTTCGTACCCTA (SEQ ID
TGTAAAACGACGGCCAGTAATTCCCAATTCTCATTCGTG (SEQ ID



NO: 409)
NO: 410)





Mstri10235
TTGCCATCGTAGAAAATGGTC (SEQ ID
TGTAAAACGACGGCCAGTCCTTAACACATTTTTGCTTCA (SEQ ID



NO: 411)
NO: 412)





Mstri10456
TGTCGTCTTTTGACCATTTCC (SEQ ID
TGTAAAACGACGGCCAGTTTATCATGTGCAGACAATACC (SEQ ID



NO: 413)
NO: 414)





Mstri10592
GATTAAACATACATGCAACATTGA (SEQ ID
TGTAAAACGACGGCCAGTGGTTGAAATCGACATGAGAGG (SEQ ID



NO: 415)
NO: 416)





Mstri10686
CCAACACTTTAAGCCTCCAAA (SEQ ID
TGTAAAACGACGGCCAGTTGTTCTCCTCTCTTCGTCTCTTG (SEQ ID



NO: 417)
NO: 418)





Mstri10743
CCGGTTCTGTTTGGTAGTGAA (SEQ ID
TGTAAAACGACGGCCAGTAACCAGAGAAAAATCCAACCA (SEQ ID



NO: 419)
NO: 420)





Mstri10866
CCTTAGGCACATTGAAAACCA (SEQ ID
TGTAAAACGACGGCCAGTTAAGGGTTCATGCTCACCATC (SEQ ID



NO: 421)
NO: 422)





Mstri11061
AACATGCACAATTAAGCATTCAA (SEQ ID
TGTAAAACGACGGCCAGTACCTGAAAGGCCACAAAAGAT(SEQ ID



NO: 423)
NO: 424)





Mstri11067
AATTCGGGTGGAATAACAAGC (SEQ ID
TGTAAAACGACGGCCAGTTTGCCTCGGATTATTACTTGTG (SEQ ID



NO: 425)
NO: 426)





Mstri11090
GCAATCACCTTAGCATTTTGG (SEQ ID
TGTAAAACGACGGCCAGTGCCAGTTTTGGGCAATTTTAT(SEQ ID



NO: 427)
NO: 428)





Mstri11131
GTTCAAGCATGGAAAGTTTGG (SEQ ID
TGTAAAACGACGGCCAGTGGGACCTAATATGATGAACTTACA (SEQ ID



NO: 429)
NO: 430)





Mstri11311
TGACAGTTTCCACAATCCTCC (SEQ ID
TGTAAAACGACGGCCAGTGACGAACTCTTTTCTTTTCTGACA (SEQ ID



NO: 431)
NO: 432)





Mstri11419
ACAAGAAGAAGATTGCGACGA (SEQ ID
TGTAAAACGACGGCCAGTTGAAGGAAGAAGGAAGAAGGAA (SEQ ID



NO: 433)
NO: 434)





Mstri11460
AATTTGGACTTTGATTGTGCG (SEQ ID
TGTAAAACGACGGCCAGTCAAGAACCAGATCATCAACAACA (SEQ ID



NO: 435)
NO: 436)





Mstri11539
AAATTTCTTTCCATTGGCTCC (SEQ ID
TGTAAAACGACGGCCAGTTTCATGAATTTGCTTCTATTGCAT(SEQ ID



NO: 437)
NO: 438)





Mstri11701
AGCTTTTTCAACGAGTTCAGC (SEQ ID
TGTAAAACGACGGCCAGTTTTCATCAACATCAAACACCG (SEQ ID



NO: 439)
NO: 440)





Mstri11744
TTCTTGGCTTCGACTTCTTCA (SEQ ID
TGTAAAACGACGGCCAGTCCGATTGGACTCGGAACTT(SEQ ID NO: 442)



NO: 441)






Mstri11748
GGATTTCGTTTGGGTTCATTT(SEQ ID
TGTAAAACGACGGCCAGTTCTGTAACACAGGCAGAGTCG (SEQ ID



NO: 443)
NO: 444)





Mstri7274
CACACATCAAAGCCCCTAAAA (SEQ ID
TGTAAAACGACGGCCAGTACTCCATCAACTGGTTCACCG (SEQ ID



NO: 445)
NO: 446)





Mstri7698
CAGTTGATGCATAGAAACGCA (SEQ ID
TGTAAAACGACGGCCAGTAAGCGATTTCATTAGTAGTTGT(SEQ ID



NO: 447)
NO: 448)





Mstri7807
TCACCAGCACATGAATCAAAA (SEQ ID
TGTAAAACGACGGCCAGTAACAACCTAGATTTTCTCGACC (SEQ ID



NO: 449)
NO: 450)





Mstri8119
AGGGTTGATGCAGATGTTACG (SEQ ID
TGTAAAACGACGGCCAGTATTGCAATCATCTTCTCCCCT(SEQ ID



NO: 451)
NO: 452)





Mstri8616
AACAATATGATCTGGCATGTCG (SEQ ID
TGTAAAACGACGGCCAGTGGAAGATCACCATTTTGTCCA (SEQ ID



NO: 453)
NO: 454)





Mstri8733
AGGTACAAGCCATGATGTCCA (SEQ ID
TGTAAAACGACGGCCAGTTTTCCAAACTTTCCTTCTTTTG (SEQ ID



NO: 455)
NO: 456)





Mstri8791
ACAAGAAGAAGATTGCGACGA (SEQ ID
TGTAAAACGACGGCCAGTTGAAGGAAGAAGGAAGAAGGAA (SEQ ID



NO: 457)
NO: 458)





Mstri8899
CGCAGCACATGTAACTTGAAA (SEQ ID
TGTAAAACGACGGCCAGTCACATTCTCTTCGTGCCCTC (SEQ ID NO: 460)



NO: 459)






Mstri8923
TCCGAAAAAGGTGACAGATTG (SEQ ID
TGTAAAACGACGGCCAGTGGCTCACAACAACAACAAAAT(SEQ ID



NO: 461)
NO: 462)





Mstri8930
CCAAACAGATCTAAAGTTCCCA (SEQ ID
TGTAAAACGACGGCCAGTTGCTTGATTATTGCTAATCGG (SEQ ID



NO: 463)
NO: 464)





Mstri8949
TAAATGCAAGGTAGGTGGTGG (SEQ ID
TGTAAAACGACGGCCAGTCGAGGACGAGTTCTGGTCAA (SEQ ID NO: 466)



NO: 465)






Mstri9154
AAGACCAAGAGGAATCACCGT(SEQ ID
TGTAAAACGACGGCCAGTTAATTTCATTCGCGATCACAC (SEQ ID



NO: 467)
NO: 468)





Mstri9223
TGAATGTGAGGAAGTGGGTTT(SEQ ID
TGTAAAACGACGGCCAGTCCGCCTCAAATAGTTATAAACTTC (SEQ ID



NO: 469)
NO: 470)





Mstri9326
AGTACTATTGCAATGGCGTGG (SEQ ID
TGTAAAACGACGGCCAGTGGTTTCGCTTGGAATTCTGAT(SEQ ID



NO: 471)
NO: 472)





Mstri9544
ATTTTTCCACTTCTGGTGGGA (SEQ ID
TGTAAAACGACGGCCAGTCAACACAATCATTTTGGGAGC (SEQ ID



NO: 473)
NO: 474)





Mstri9820
TCTTGTTGATATAATCTACGGAA (SEQ ID
TGTAAAACGACGGCCAGTCCTGATGGTCATCACTAAGCC (SEQ ID



NO: 475)
NO: 476)





Mstri9857
GGGACCCAATAACCGAAAATA (SEQ ID
TGTAAAACGACGGCCAGTTTTGATAAACCAATCTCCCACA (SEQ ID



NO: 477)
NO: 478)





Mt1D06
GAAGGTTTTGGGTGGTGATG (SEQ ID NO: 479)
TGTAAAACGACGGCCAGTCCATGGCTCTTTCCTACCAA (SEQ ID NO: 480)





Mt1G03
TGGTTGATCAATGTTCCTCCT(SEQ ID
TGTAAAACGACGGCCAGTAAAGAGATTGGGTCGGTGAA (SEQ ID



NO: 481)
NO: 482)





MtBA36F01F1
AATAAACACAGATTCCAAATCCA (SEQ ID
TGTAAAACGACGGCCAGTTCTTCATCGCTTTCTTCTATTTCA (SEQ ID



NO: 483)
NO: 484)





MtBC01G06F3
TCAGGACAAACTGCCATTTC (SEQ ID NO: 485)
TGTAAAACGACGGCCAGTTGCATTGAAGCAAATTAACGA (SEQ ID




NO: 486)





MTIC107
TACGTAGCCCCTTGCTCATT(SEQ ID NO: 487)
TGTAAAACGACGGCCAGTCAAACCATTTCCTCCATTGTG (SEQ ID




NO: 488)





MTIC124
TTGGGTTGTCAATAATGCTCA (SEQ ID
TGTAAAACGACGGCCAGTTTGTCACGAGTGTTGGAATTTT(SEQ ID



NO: 489)
NO: 490)





MTIC169
GCGTGCTAGGTTTGAGAGGA (SEQ ID NO: 491)
TGTAAAACGACGGCCAGTTCAAAACCCTAAAACCCTTTCTC (SEQ ID




NO: 492)





MTIC183
TTCTCTTCAAGTGGGAGGTA (SEQ ID NO: 493)
TGTAAAACGACGGCCAGTAAATGGAAGAAAGTGTCACG (SEQ ID




NO: 494)





MTIC19
TGCAACAGAAGAAGCAAAACA (SEQ ID
TGTAAAACGACGGCCAGTTCTAGAAAAAGCAATGATGTGAGA (SEQ ID



NO: 495)
NO: 496)





MTIC233
AAGGAACAATCCCAGTTTTT(SEQ ID NO: 497)
TGTAAAACGACGGCCAGTGCGTAACGTAACAACATTCA (SEQ ID




NO: 498)





MTIC238
CCTTAGCCAAGCAAGTAAAA (SEQ ID NO: 499)
TGTAAAACGACGGCCAGTTTCTTCTTCTAGGAATTTGGAG (SEQ ID




NO: 500)





MTIC247
TGAGAGCATTGATTTTTGTG (SEQ ID NO: 501)
TGTAAAACGACGGCCAGTTTCGCAGAACCTAAATTCAT(SEQ ID NO: 502)





MTIC248
GGATTGTGATGAAGAAATGG (SEQ ID NO: 503)
TGTAAAACGACGGCCAGTTATCTCCCTTCTCCTTCTCC (SEQ ID NO: 504)





MTIC249
GTGGGTGAGGATGTGTGTAT(SEQ ID NO: 505)
TGTAAAACGACGGCCAGTTAGGTCATGGCTATTGCTTC (SEQ ID NO: 506)





MTIC250
CGTTGATGATGTTCTTGATG (SEQ ID NO: 507)
TGTAAAACGACGGCCAGTGCCTGAACTATTGTGAATGG (SEQ ID




NO: 508)





MTIC258
TGAAATTCACATCAACTGGA (SEQ ID NO: 509)
TGTAAAACGACGGCCAGTCACCACCTTCACCTAAGAAA (SEQ ID




NO: 510)





MTIC304
AGCGTAAAGTAAAACCCTTTC (SEQ ID
TGTAAAACGACGGCCAGTTTGGGCTTAATTTGACTGAT(SEQ ID NO: 512)



NO: 511)






MTIC332
GGTCATACGAGCTCCTCCAT(SEQ ID NO: 513)
TGTAAAACGACGGCCAGTCCCTGGGTTTTTGATCCAG (SEQ ID NO: 514)





MTIC338
CATTGGTGGACGAGGTCTCT(SEQ ID NO: 515)
TGTAAAACGACGGCCAGTTCCCCTTAAGCTTCACTCTTTTC (SEQ ID




NO: 516)





MTIC343
CCATTGCGGTGGCTACTCT(SEQ ID NO: 517)
TGTAAAACGACGGCCAGTTCCGATCTTGCGTCCTAACT(SEQ ID NO: 518)





MTIC35
GGCAGGAACAGATCCTTGAA (SEQ ID NO: 519)
TGTAAAACGACGGCCAGTGAAGAAGAAAAAGAGATAGATCTGTGG




(SEQ ID NO: 520)





MTIC354
AACCTACGCTAGGGTTGCAG (SEQ ID NO: 521)
TGTAAAACGACGGCCAGTAAGTGCCAAAGAACAGGGTTT(SEQ ID




NO: 522)





MTIC452
TCACAAAAACTGCATAAAGC (SEQ ID NO: 523)
TGTAAAACGACGGCCAGTCTAGTGCCAACACAAAAACA (SEQ ID




NO: 524)





MTIC470
CCCTTCACAGAATGATTGAT(SEQ ID NO: 525)
TGTAAAACGACGGCCAGTGGTTCGTGTATTTGTTCGAT(SEQ ID NO: 526)





MTIC51
ACAAAAACTCTCCCGGCTTT(SEQ ID NO: 527)
TGTAAAACGACGGCCAGTAGTATAGTGATGAAGTGGTAGTGAACA (SEQ




ID NO: 528)





MTIC84
GGGAAAAGGTGTAGCCATTG (SEQ ID NO: 529)
TGTAAAACGACGGCCAGTTCTGAGAGAGAGACAAACAAAACAA (SEQ




ID NO: 530)





MTIC94
CAGGGTCAGAGCAACAATCA (SEQ ID NO: 531)
TGTAAAACGACGGCCAGTGCTACAACAGCGCTACATCG (SEQ ID




NO: 532)





MTIC95
AGGAAGGAGAGGGACGAAAG (SEQ ID NO: 533)
TGTAAAACGACGGCCAGTAAAGGTGTTGGGTTTTGTGG (SEQ ID NO: 534)





RCS0121
CTGCTTTGGTTTGGAAGAAA (SEQ ID NO: 535)
TGTAAAACGACGGCCAGTGGAAAGAATATGCAATTTCTCGAT(SEQ ID




NO: 536)





RCS1209
TGAACTTTGAAGCCACATTGA (SEQ ID
TGTAAAACGACGGCCAGTAAAATCCAGAAGCACGAGTGA (SEQ ID



NO: 537)
NO: 538)





RCS2510
GCCCTAAAAGTTGAAAGAGCA (SEQ ID
TGTAAAACGACGGCCAGTCACGAGGGAACACTTCATCA (SEQ ID NO: 540)



NO: 539)






RCS2936
CCAATGCAATTCGGTAATCC (SEQ ID NO: 541)
TGTAAAACGACGGCCAGTCGTTATTTATCCCTCCGGGT(SEQ ID NO: 542)





RCS4209
TCACAATGGGCACCTAATCA (SEQ ID NO: 543)
TGTAAAACGACGGCCAGTCAATTTTCGCTGACTGACCA (SEQ ID NO: 544)





RCS4310
GCCATTTGCTTCAACCTTGT(SEQ ID NO: 545)
TGTAAAACGACGGCCAGTGCCATTGCTGGAATCGTAAT(SEQ ID NO: 546)





RCS5452
GGGCAAAACAGGAAATGAAA (SEQ ID NO: 547)
TGTAAAACGACGGCCAGTATTCGATAAGGATGGCGATG (SEQ ID NO: 548)





RCS5744
TGTCGTCGTATCATTTCCGA (SEQ ID NO: 549)
TGTAAAACGACGGCCAGTGGAGATATGCTCATTCCCCA (SEQ ID NO: 550)





SNP1111
TTGAAAGCACAAGGTTTCAGC (SEQ ID
GTGACTTTGATGCCGGAGTT(SEQ ID NO: 552)



NO: 551)






TC105099
AGATAGGAATTTGGGTCGGG (SEQ ID NO: 553)
TGTAAAACGACGGCCAGTACAACCATGATGTGGGAATG (SEQ ID NO: 554)





TC106861
GCAGGGCTGAGACTCCAGTA (SEQ ID NO: 555)
TGTAAAACGACGGCCAGTAGCCCTGCTTTTTCTCCTCT(SEQ ID NO: 556)





TC85780-1
AAAGTGACATGATCCACAGG (SEQ ID NO: 557)
TGTAAAACGACGGCCAGTGCTAAGAAAGCATGGGGTTGTTGG (SEQ ID




NO: 558)





TC96233
GTGGCGTTTCAAATCCTTGT(SEQ ID NO: 559)
TGTAAAACGACGGCCAGTTTGACTCAAACACACCCCAA (SEQ ID NO: 560)









Example 5
Evaluation of Aluminum Tolerance Using the Callus Bioassay

The parental clones Altet-4 and NECS-141, and 185 F1 genotypes were evaluated for their Al-tolerance response using Blaydes medium (ALB) as previously described (Parrot and Bouton, Crop Sci 30:387-389, 1990). Leaves and petioles from the individual genotypes were used for callus induction. Half of a single 2-week old callus was transferred to Blaydes medium with Al (+ALB, pH 4.0 with 400 μM of Al supplied by AlCl3) and the other half was transferred to Blaydes medium without Al (−ALB, pH 4.0). Individual calli were weighed and transferred to fresh +ALB and −ALB medium at one week intervals for 8 weeks to determine the relative growth rate of each genotype. The experimental design for the callus bioassay using ALB medium included three replications with five individual calli per genotype per replication. Al tolerance (+ALB/−ALB) was estimated using the total callus weight ratio (TCWR) of each genotype grown in medium +Al and −Al.


The relative growth rate of Altet-4 calli in media Al+vs. Al− was consistently higher than any other genotype evaluated, including the other Altet genotypes (FIG. 1). Therefore, Altet-4 was used as the Al-tolerant parent to develop the population NECS141Altet4 segregating for Al tolerance. The phenotypic evaluations of Al tolerance in the NECS141Altet4 population using the callus bioassay exhibited a continuous and normal distribution consistent with polygenic inheritance (FIG. 2). The relative growth rates of the progeny ranged from 0.5 to >1.7 suggesting transgressive segregation for Al tolerance in this population.


Statistical analysis. Variation for Al tolerance from phenotypic evaluations in the callus bioassay and whole plant assay in media, and the correlations between phenotyping systems were determined using SAS 9.1 (SAS, Cary, N.C.). Statistical differences between genotypes were determined using PROC GLM and LSMEANS with genotype treated as a random variable and replication as fixed effect. PROC CORR was used to evaluate the correlation between callus growth and root growth in both assays. The normality of the Al tolerance phenotypic data from the segregating population was evaluated with the Shapiro-Wilk test (Shapiro and Wilk, Biometrika 52:591-611, 1965) using PROC UNIVARIATE.


Results.


Phenotypic evaluations of Al tolerance in the mapping population using the callus bioassay exhibited a continuous and normal distribution based on a Shapiro-Wilk (W) score of 0.92 (P<0.001) (FIG. 1A). The TCWR of Altet-4 (0.91) was higher than the TCWR of NECS-141 (0.74). The mean TCWR of the F1 progeny ranged from 0.50 to 1.70, with a population mean of 0.78 (sd=0.17) suggesting transgressive segregation for Al tolerance in this population.


Example 6
Evaluation of Aluminum Tolerance Using the Whole-Plant Culture Media Assay

Clonally propagated alfalfa (stem cuttings) from each individual in the mapping population were evaluated for Al-tolerance using the whole plant assay as previously described by Khu et al. (2011a, Crop Sci 52. doi:10.2135/cropsci2011.2105.0256). Briefly, the CaCl2 medium contains 200 μM 4 CaCl2, 1.4% Gelzan (G3251, PhytoTechnology Laboratories), and either 0 (pH 7 and pH 4) or 1 mM AlCl3 (pH 4). The pH was adjusted to pH 3 and pH 10.5 to obtain media with pH 4 and 7, respectively, after autoclaving due to the lack of buffering capacity. Apical stem cuttings were rooted in least macro salt (LMS) medium which consisted of 0.1 mM CaCl2, 500 μM KNO3 and 500 μM MgSO4 and 1.2% Gelzan. Cuttings with visually uniform root size and lateral root number were transferred to CaCl2 medium −Al and +Al (1 mM AlCl3). The experimental design included five replications with a single rooted cutting per replication and treatment combination (pH 7 −Al, pH 4 −Al, and pH 4 +Al). The total root length of each clone was measured after 14 d of growth in medium with pH 7 −Al, pH 4 −Al, and pH 4 +Al using the winRHIZO® software (Regent Instruments, Québec, Canada). Al tolerance (pH 4 +Al/pH 7 −Al) was estimated using the average total root length ratio (TRLR) of each genotype grown in media at pH 7 −Al and pH 4 +Al.


The relative root length (pH7/pH4Al+) of Altet-4 and NECS-141 resulting from WPA evaluations in media (FIGS. 3 & 4) was 0.93 and 0.43, respectively. The phenotypic evaluations of Al tolerance in the NECS141Altet4 population using the WPA also exhibited a continuous and normal distribution consistent with polygenic inheritance (FIG. 4). The relative root length of the progeny ranged from 0.23 to >1.26 again indicating transgressive segregation for Al tolerance in this population and confirming the ability of the assay to detect quantitative differences in Al tolerance. F1 progeny individuals with higher Al tolerance than the Al tolerant parent were observed in both the CBA and the WPA in media assays suggesting that both parents may be contributing positive alleles for Al tolerance.


Example 7
DNA Isolation and Genotyping

Genomic DNA from each F1 progeny in the mapping population was extracted separately using the DNeasy Plant Mini Kit (QIAGEN, Cat. No. 69104, Valencia, USA). A total of 755 SSR primer pairs from M. truncatula EST-SSRs (Eujayl et al. Theor Appl Genet 108:414-422, 2004; Julier et al. BMC Plant Biol 3:9, 2003; Sledge et al. Theor Appl Genet 111:980-992, 2005) and alfalfa genomic SSRs (Diwan et al. Theor Appl Genet 101:165-172, 2000), were used to screen for polymorphism between Altet-4 and NECS-141 as previously described by Zhang et al (Plant Methods 4:19, 2008). In addition to previously used SSR markers, 269 SSR primers developed from alfalfa trichome unigene sequences were used to screen for polymorphism between the two parents. Briefly, the total 4,485 Medicago sativa trichome unigenes, consisting of 3,406 singletons and 1,079 contigs or tentative consensus (TC) sequences, assembled from two EST libraries (MS_TRI1 and MS_TRI2) of glandular trichomes isolated from Medicago sativa stems and one EST library (MS_FAL_SSH) of cold-treated Medicago falcata L. subsp. falcata leaves were downloaded from the TrichOME database (Dai et al. Pl Physiol 152:44-54, 2010). Candidate SSRs were identified from the downloaded unigenes using the SSRIT Perl scripts (Kantety et al. Plant Mol Biol 48:501-510, 2002) for perfect SSR identification and the Sputnik software (espressosoftware.com/sputnik/index.html; Verified Aug. 8 2011) for imperfect SSR identification as previously described (Zhang et al. Plant Methods 4:19, 2008). PCR primers were designed using Primer3 (Rozen and Skaletsky, Primer3 on the WWW for general users and for biologist programmers. In: Misener S, Krawetz S A (eds) Bioinformatics Methods and Protocols. Humana Press, pp 365-386, 1999) to amplify the identified candidate SSR regions. PCR reactions were prepared in a 10 μl volume and contained 20 ng of template DNA, 2.5 mM MgCl2, 1×PCR buffer II (Applied Biosystems, Foster City, Calif., USA), 0.15 mM dNTPs, 1.0 pmol each of the reverse primer with an additional 18 nucleotides from the M13 forward sequencing universal primer (e.g. Schuelke Nature Biotechnol. 18:233-234, 2000) appended to the 5′end, 0.25 pmol of the forward primer (see Table 5), and 0.5 U GoTaq® DNA polymerase (Promega, Madison, Wis., USA). The M13 nucleotide sequences were labeled either with blue (6-FAM), green (HEX), yellow (NED) or red (PET) fluorescent tags. PCR products with different fluorescent labels and with different fragment sizes were pooled for detection. A total of 1.6 μl of pooled PCR products were combined with 12 μl of deionized formamide and 0.5 μl of GeneScan-500 LIZ internal size standard and analyzed on the ABI PRISM® 3730 Genetic Analyzer (Applied Biosystems, Foster City, Calif., USA). GeneMapper 3.7 software was used to analyze the DNA amplicons and assign allele scores.


Example 8
Genotype and QTL Identification

A total of 305 primers from the total legume SSR primer pairs evaluated were polymorphic between the parental genotypes Altet-4 and NECS-141. 212 SSR loci from Altet-4 and 226 loci from NECS-141 were captured in the genetic linkage map, which consists of eight consensus LGs representing the eight chromosomes in the alfalfa genome. The consensus map length of Altet-4 was 826 cM and 745 cM for NECS-141. The consensus parental maps were constructed from the 32 co-segregation groups for each parental genome. These co-segregation groups provide a more precise view of linkage relationships among marker alleles and facilitate identification of positive alleles for QTLs. Single factor analysis of variance (SF-ANOVA) and the non-parametric Kruskal-Wallis test identified significant markers associated with Al tolerance from the CBA on LGs 1, 3, 4, 5, 6, and 8 in the NECS141Altet4 population (Table 2). Interval mapping was performed for all Al tolerance screening methods utilized in this study. Based on phenotypic data from the CBA, whole plant assay in media and whole plant assay in soil, Al tolerance QTLs were identified on six LGs (Table 2 & FIG. 5).









TABLE 2







Single factor analysis for Al tolerance from the callus bioassay.














Average progeny callus

P value
P value



Linkage
growth ratio (Al+/Al−)
Standard
of
of Kruskal-













Markers
group
absent
present
error
ANOVA
Wallis test















608Altet4 population


















MTIC233-135
1
0.98
0.91
0.031
0.037
0.043


MTIC247-130
1
0.89
0.97
0.031
0.02
0.015


MTIC19-154-2
2
0.96
0.90
0.031
0.026
0.035


MTIC51-146
3
1.24
0.92
0.068
0.002
0.000


AW289-312
4
0.91
0.99
0.032
0.028
0.011


2c12gga5-1-171
5
0.86
0.96
0.036
0.003
0.007


2c06ctc8-1-200
5
1.02
0.92
0.038
0.018
0.008


3d03atc5-1-246
6
0.88
0.97
0.033
0.002
0.008


AW64-202
7
0.90
0.98
0.031
0.019
0.010


1b11caa6-1-273
7
0.97
0.91
0.031
0.043
0.050


AW166-203
Un-linked
1.05
0.91
0.040
0.011
0.001


RCS5743-222
Un-linked
0.91
0.98
0.031
0.029
0.015


RCS1812-142
Un-linked
0.97
0.89
0.031
0.007
0.005











NECS141Altet4 population

















u-MTIC233-145
1
0.85
0.76
0.042
0.037
0.039


1c09gat6-1-211
3
0.87
0.76
0.041
0.026
0.008


1h09aat11-1-233
4
0.75
0.84
0.034
0.031
0.009


MTIC249-125
4
1.09
0.77
0.123
0.019
0.010


2c06gat6-1-128
5
0.83
0.74
0.031
0.024
0.011


MTIC250-133
6
0.74
0.82
0.030
0.031
0.010


BF26-306
7
0.82
0.73
0.030
0.01
0.006
















TABLE 3







Al tolerance QTLs identified in the NECS141Altet4 population


based on interval mapping from three phenotypic assays (callus


bioassay, whole plant assay in media, and soil-based assay).











Callus bio-assay
Whole plant assay
Soil-based assay














LG
Parents
Position (cM)
R2†
Position
R2
Position
R2

















1
Altet-4




72 (Rdmr1)
9.6




4
10.9


14 (Rdmr2)
7.7



NECS-141


98 (Al50)
17.3






100
14.2
98 (Al1K)
26.9




3
Altet-4
74
25.2






4
Altet-4




38 (Rdmr1)
29.7








 4 (Rdmr2)
20.2



NECS-141
98
15.9












32 (Rdmr2)
20.6


5
Altet-4
62
14.1






6
Altet-4




102 (Rdmr2) 
13.1



NECS-141
8
7.8






7
Altet-4


70 (Al50)
19.5






52
16.2
72 (Al1K)
9.9





R2† = % variance explained;


Al50 = Relative root length in whole plant assay in media (pH 7Al−/pH 4Al+), with 50 μM Al;


Al1K = Relative root length in whole plant assay in media (pH 7Al−/pH 4Al+) with 1 mM Al;


Rdmr1: relative dry matter of roots between limed and un-limed soil from soil-based experiment 1;


Rdmr2: relative dry matter of roots between limed and un-limed soil in soil-based experiment 2.






Significant QTLs for Al tolerance on LGs 1, 3, 4, 5 and 7 were identified in which Altet-4 contributed the positive allele (FIG. 5). In the callus bioassay (“CBA”), the QTL for Al tolerance on LG-3 (74 cM) explained 25.2% of the variation in the Al tolerance response. Using interval mapping, a QTL for callus growth was also identified at 90 cM on LG 1 from Altet-4. This QTL explained 20.8% of the phenotypic variation for total callus weight (“TCWR”). The allelic effect at each Al tolerance QTL was estimated using the mean phenotypic value for all progeny with a given allele at a particular locus and used to evaluate the performance of individuals with a given allelic composition (FIG. 6). For the Al tolerance QTL on LG-3, the allelic combination ‘Q13’ at 74 cM from homologous chromosomes H1 and H3 contributed by Altet-4, has higher Al tolerance compared to all other possible allelic combinations at this loci (FIG. 6A). A QTL for Al tolerance based on the CBA and the whole plant assay (“WPA”) was identified on LG-7 and explains 19.5% of the variation observed in relative root length (Table 3 & FIG. 5I). In this case, Altet-4 contributes the positive alleles and ‘Q13’ represents the most desirable allelic combination (FIG. 6D). This QTL for Al tolerance was significant at both Al concentrations used in the WPA (Al50 and Al1K) suggesting a potential mechanism of tolerance independent of Al concentration.


Three Al tolerance QTLs were identified on chromosomes 1, 4, and 6 in the NECS-141 parental linkage map. Although NECS-141 has lower phenotypic values than Altet-4 (FIGS. 2 & 3; Table 4), positive alleles for Al tolerance from NECS-141 were identified (FIG. 5B, 5E, 5H). These findings indicate that while NECS-141 is phenotypically poor, it may posses some alleles capable of increasing the trait value. A previous study in diploid alfalfa also identified Al tolerance QTLs from the Al sensitive parent (Sledge et al., Crop Sci 42:1121-1128, 2002). Others have also identified QTL alleles enhancing the trait value from a phenotypically inferior parent (Tanksley and Nelson, Theor Appl Genet 92:191-203, 1996; Ali et al., Theor Appl Genet 101:756-7662000; Lou et al., Euphytica 158:87-94, 2007). The QTL for Al tolerance from NECS-141 located on chromosome 1 (98 cM) explain 26.9% of the variation in relative root length (Table 3). The mean relative root growth with QTL genotypes from the WPA at two different Al concentrations indicates that ‘Q34’ is the most desirable allelic combination at this locus (FIGS. 7A & 7B).









TABLE 4







Al tolerance of alfalfa genotypes obtained from


soil-based assay and whole plant assay in media.











Genotypes
Whole plant assay
Soil-based assay







95-608
0.56 (2)§
0.54 (2)



NECS-141
0.52 (3)
0.31 (3)



Altet-4
0.97 (1)
0.71 (1)








Ratio of total root length (pH 7 Al−/pH 4 Al+ at 50 μM)





Ratio of root dry matter (unlimed/limed)





§Rankings of genotypes based on performance, 1: most Al tolerant; 3: least Al tolerant.







Soil-based assays were performed twice in the greenhouse using replicates in time (experiment 1 and experiment 2). The two experiments showed significant covariance (data not shown) and thus each set of experimental data was analyzed separately. Soil-based phenotypic data from experiment 1 and 2 was used to identify two QTLs for Al tolerance on chromosome 1 and 4 from Altet-4 (Table 3, FIG. 5A & FIG. 5D). In experiment 2, QTLs for Al tolerance were identified on chromosomes 1, 4 and 6 (Table 3). In all three cases, Altet-4 contributed the positive allele for Al tolerance. The most desirable allelic combination at both Al tolerance QTLs identified on chromosomes 4 is ‘Q23’ (FIG. 6B & FIG. 6C).


All publications and patent applications cited herein are incorporated by reference to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference.


Although certain embodiments have been described in detail above, those having ordinary skill in the art will clearly understand that many modifications are possible in the embodiments without departing from the teachings thereof. All such modifications are intended to be encompassed within the invention as disclosed.


Example 9
Linkage Map Construction and QTL Analysis

Linkage and QTL analysis were performed using the TetraploidMap software (Hackett et al., J Hered 98:727-729, 2007) previously used for mapping in tetraploid alfalfa (Julier et al., BMC Plant Biol 3:9, 2003; Robins et al., Crop Sci 47 1-10, 2007; Robins et al., Crop Sci 48:1780-1786, 2008) and tetraploid potato (Bradshaw et al., Theor Appl Genet 116:193-211, 2008; Khu et al., Am J Potato Res 85:129-139, 2008). The parental genotypes were determined based on the observed parent and offspring marker score (Luo et al., Theor Appl Genet 100:1067-1073, 2000). Markers were assigned to a given LG based on the location of previously mapped SSR markers (Julier et al., BMC Plant Biol 3:9, 2003; Narasimhamoorthy et al., Theor Appl Genet 114:901-91, 2007b; Robins et al., Crop Sci 47 1-10, 2007) and simplex coupling linkages. The EM algorithm was used to calculate the recombination frequency and LOD score to identify the most likely phase of markers on the same LG (Luo et al., Genetics 157:1369-1385, 2001). A simulated annealing algorithm (Hackett and Luo, J Hered 94:358-359, 2003) was used to identify the most accurate order of markers and distance between markers.


Multi-allelic SSR markers with either three or four alleles representing different homologous chromosomes were used to identify F1 genotypes that inherited products of double reduction. Once the allelic combination of each F1 genotype was identified, markers located in the interval between this locus and the distal end of the chromosome were evaluated to confirm double reduction in that F1 genotype. The 27 F1 genotypes resulting from double reduction identified in this study were not included in the corresponding linkage map and QTL analysis because a reliable model for analyzing double reduction is not available (Bradshaw et al., Theor Appl Genet 116:193-211, 2008).


Single-factor analysis of variance (SF-ANOVA) and interval mapping were performed using the TetraploidMap software as described by Hackett et al. (Genetics 159:1819-1832, 2001) and Bradshaw et al. (Theor Appl Genet 116:193-211, 2008). The inheritance of each marker allele in the F1 progeny representing homologous chromosomes i and j from the parental genotypes were denoted using Qij. For each marker allele combination, the mean value of all genotypes containing the allele was compared to the mean value of the individuals without the allele. A maximum-likelihood approach for fitting QTL models was evaluated with separate means for each of the possible QTL genotypes (gametes Q1Q2, Q1Q3, Q1Q4, Q2Q3, Q2Q4, and Q3Q4) using a 2 cM window along the chromosome as previously described (Hackett, 2001). Significant QTLs were identified based on LOD scores greater than 3.0 and a threshold value determined using 500 permutations. After the significant QTLs were identified, four models were evaluated using the simplex allele (absent Qi versus present Qi) and six models were evaluated for the dominant duplex allele on the pairs of homologous chromosomes (e.g., Q1Q2+Q1Q3+ Q1Q4+ Q2Q3+ Q2Q4 versus Q3Q4) and compared them using the likelihood ratio test. Biallelic genotypes are reported for each marker combination with less than 5% missing data points. Interval mapping was performed using the permutation test with 500 iterations to declare significance (P<0.05).


A total of 257 primer pairs (Table 5) from the 1,024 legume SSR primer pairs evaluated were polymorphic between the parental genotypes Altet-4 and NECS-141. For Altet-4, 283 SSR alleles were scored (Table 6). Of these, 198 were segregating in a 1:1 ratio (simplex) and 59 segregated in a 5:1 ratio (duplex). Among these, 70 co-dominant SSR combinations were identified by significant repulsion linkage and clustering analysis. For NECS-141, 231 SSR alleles segregated in a 1:1 ratio and 48 segregated in a 5:1 ratio. Among these, a total of 64 co-dominant SSR combinations were identified. SSR markers were used to construct linkage maps for the eight LGs corresponding to the eight alfalfa chromosomes. A total of 185 SSR loci from Altet-4 and 205 loci from NECS-141 were captured in the parental genetic linkage maps, with 115 loci in common between the two parental maps. The consensus maps covered 761 cM for Altet-4 and 721 cM for NECS-141, and included the 32 co-segregating homologous chromosomes (4 homologs for each of the eight chromosomes) for each parental genome (FIG. 9). Each homologous linkage group contained, on average, eleven SSR loci. The linkage maps generated in this study include multi-allelic co-dominant SSR markers not previously included in any tetraploid alfalfa linkage maps (Brouwer and Osborn, Crop Sci 40:1387-1396, 1999; Julier et al., BMC Plant Biol 3:9, 2003; Robins et al., Crop Sci 47 1-10, 2007; Sledge et al., Theor Appl Genet 111:980-992, 2005). Twenty-six double simplex markers (segregating in a 3:1 ratio) associated with a simplex coupling linkage group were identified in both parental simplex LGs. Segregation distortion was identified in 27% of the markers scored in this population, which is similar to levels of distortion in other alfalfa mapping studies performed using F1 mapping populations (Julier et al., BMC Plant Biol 3:9, 2003; Robins et al., Crop Sci 47 1-10, 2007).









TABLE 5







List of SSR primer pairs used for linkage mapping and QTL identification in alfalfa











Primer ID
Reverse primer sequence
Forward primer sequence
LG
Amplicon size range





122161-41
CCACGTTGTTGAACAGTGGAAATG
GCGAACTTGTTTCCGATGATGC
1
413-447



(SEQ ID NO: 1)
(SEQ ID NO: 2)







1a07aac5-1
GAGCCATGTTGTTGGTGTTG
TTGGTTGGTGGGGTTATCAT
3
144-162



(SEQ ID NO: 3)
(SEQ ID NO: 4)







la09ggt5-1
TCTCTGGTCAGCACCAACTG
GCATGGTGAGAGACGTCGTA
4
250-252



(SEQ ID NO: 5)
(SEQ ID NO: 6)







1b08aga7-1
TGGAGGGAAATGATTTAGCG
AACGAAAACGAAAACGAACG
8
175-190



(SEQ ID NO: 7)
(SEQ ID NO: 8)







1b11caa6-1
AACCTCCTCGACAACATTGG
AACTCAAACCCGAACAATGC
7
254-281



(SEQ ID NO: 9)
(SEQ ID NO: 561)







1b11gtg6-1
AACCTCCTCGACAACATTGG
ACCTGGGATTGGGTTAGGAC
7
313-328



(SEQ ID NO: 9)
(SEQ ID NO: 10)







1b12ttc5-1
GTCGTCGTAGAGTGGGGTGT
GAGTGGCCATGGATTCAAAC
4
245-248



(SEQ ID NO: 11)
(SEQ ID NO: 12)







1c06tta6-1
CAAATGAGAGCACGTTGTGAA
ATCATATTGGCTTGGTGCAA
6
214-265



(SEQ ID NO: 13)
(SEQ ID NO: 14)







1c09gat6-1
TTTTCCATTCCCACCTACCA
TTTGGAAAACACTTGCCCAC
3
202-211



(SEQ ID NO: 15)
(SEQ ID NO: 16)







1c11tgg5-1
TTGCCCTTTTGTCCAAGAAC
GACGAGAGTCCCATCAGAGC
5
116-169



(SEQ ID NO: 17)
(SEQ ID NO: 18)







1c12tgt5-1
TTACGATCTGGCTTGGAACC
CTCGACCTGCACGACAATTA
5
100-235



(SEQ ID NO: 19)
(SEQ ID NO: 20)







1d06gaa6-1
GAAGGTTTTGGGTGGTGATG
CCATGGCTCTTTCCTACCAA
2
189-192



(SEQ ID NO: 21)
(SEQ ID NO: 22)







1e04aaat4-1
GACCGGGATTGATGGATATG
AACAAGAGATGGGAGGAAAAA
3
162-166



(SEQ ID NO: 23)
(SEQ ID NO: 24)







1e04tatc4-1
TGTTTCTGATCAGGGCATTG
TCTAGGTATTCGCTGGCGTT
3
232-244



(SEQ ID NO: 25)
(SEQ ID NO: 26)







1e08gat5-1
ACTTCCTGACGGTCCTCCTT
GGCGCATAATCACCATTACC
8
238-244



(SEQ ID NO: 27)
(SEQ ID NO: 28)







1e08tttc4-1
TCCTTCTGGACAAGAAACCG
TCCATCACGACATATTTCACTTTT
8
342-343



(SEQ ID NO: 29)
(SEQ ID NO: 30)







1f02tat6-1
TGATGCTGTCCTATGCCAAG
TGGAAAAGGCTTTGACTGTTG
5
321-335



(SEQ ID NO: 31)
(SEQ ID NO: 32)







1f08att6-1
TGATGGATGCAATAGGGGAT
TGACATCATATGCACGGTCC
6
116-119



(SEQ ID NO: 33)
(SEQ ID NO: 34)







1f08tat6-1
ATGAAGGTCATTGCAAGGCT
CTGCTGACTTCTGTCTGGCA
4
262-324



(SEQ ID NO: 35)
(SEQ ID NO: 36)







1f10ttg6-1
AGTGCCGCTATGCTGCTATT
TTGATCCATGTAGCCAACCC
5
210-263



(SEQ ID NO: 37)
(SEQ ID NO: 38)







1f11aatt4-1
TTGAAAAGACACGGGGAAGT
CCACAAAAGCAGATGGTTGA
6
192-195



(SEQ ID NO: 39)
(SEQ ID NO: 40)







1f11caa5-1
TTGGTGAGAGCTGGTGATTG
TTACCGCTTTTGGATTCTGG
4
313-317



(SEQ ID NO: 41)
(SEQ ID NO: 42)







1g03gaa5-1
TTTATCGGCGAAGAAGATCG
TCCCGCTTCACTTCACTTTC
8
155-220



(SEQ ID NO: 43)
(SEQ ID NO: 44)







1g05cata17-1
CCCTAAATCAGGGGTTCAAA
CACTCATTGCTGAGGGCATA
2
139-173



(SEQ ID NO: 45)
(SEQ ID NO: 46)







1g05tct12-1
TCAGAAATTCCCTCCCATTG
AAGAATGACGAAGAGGCGAA
4
268-277



(SEQ ID NO: 47)
(SEQ ID NO: 48)







1h03aatt4-1
TGATTCAAGGATGGGAAAGC
TGTCTTCCGTGGTCTCACTG
1
202-229



(SEQ ID NO: 49)
(SEQ ID NO: 50)







1h03ata9-1
GAGTTTCTGAATTCGCCGTC
TCGGCATCAATCATGTCATC
1
300-303



(SEQ ID NO: 51)
(SEQ ID NO: 52)







1h09aat11-1
CGATAATTCACCCCCATGAC
CACAATCAAATGCATAGCCG
4
218-237



(SEQ ID NO: 53)
(SEQ ID NO: 54)







2a03aga5-1
TCGAGAGCTCGGTATTCGAT
ATCCAAGGGCGGTAGAAGAC
4
279-284



(SEQ ID NO: 55)
(SEQ ID NO: 56)







2a03gaa8-1
TCGAGAGCTCGGTATTCGAT
GTGTGGAAGAGACCGGAGAA
4
230-236



(SEQ ID NO: 57)
(SEQ ID NO: 58)







2a03tga5-1
AAGCACTCTGAGCCACCATT
TGAGGAAATTCTTGGGAGGA
8
277-292



(SEQ ID NO: 59)
(SEQ ID NO: 60)







2a07tatt4-1
GCAGGGACGAAACCAGAATA
TTGCACTTCCACTAAATGACTTG
5
316-318



(SEQ ID NO: 61)
(SEQ ID NO: 62)







2a09aac6-1
CCCTCCAATCAAGAAACAGC
CCCAATTCCAAACCAGAAAA
8
256-282



(SEQ ID NO: 63)
(SEQ ID NO: 64)







2a09ttta4-1
GACCATTGATCATGTCTCACG
CCAGATTGCTTACCAGGGAC
3
276-303



(SEQ ID NO: 65)
(SEQ ID NO: 66)







2c06ctc8-1
AACAACCAAACTTGGCCTTG
TGGTCGAAGGAAGCAGAGAT
5
173-200



(SEQ ID NO: 67)
(SEQ ID NO: 68)







2c06gat6-1
ACTTCCATTGCCGCTTCTAA
TGTGGCGAAGTAACGAAGAA
5
128-137



(SEQ ID NO: 69)
(SEQ ID NO: 70)







2c06tta9-1
AAACCAATGATATCAAACTCCCTT
AAAAAGTCATGCTACAAATCATAAAAA
3
244-304



(SEQ ID NO: 71)
(SEQ ID NO: 72)







2c12gga5-1
AAATGGATTCGAACTCACGC
AAGAAGAAAAATGGCAGGAGG
5
165-174



(SEQ ID NO: 73)
(SEQ ID NO: 74)







2c12tta5-1
AGCCTCAAGCAGTCGTTGAC
GGAGGGGAGCAAATCTCTTT
5
316-319



(SEQ ID NO: 75)
(SEQ ID NO: 76)







3d03atc5-1
TGTGAACATCAGGAGGTGGA
GTGAATGGTGGTCGTCTTCA
6
206-268



(SEQ ID NO: 79)
(SEQ ID NO: 80)







3d03cat6-1
AACCATGCGGTGGTTAGGTA
CGTCATCATCATCATCACCA
6
175-181



(SEQ ID NO: 81)
(SEQ ID NO: 82)







3d03cat7-1
TGAATGGAATCATGCAGAGG
AACGGGTGGTCTTGTGATTG
6
284-313



(SEQ ID NO: 83)
(SEQ ID NO: 84)







3d03tca5-1
TTTTCGATCATGCCATTTGA
TTTGCACCAATGGGTAGTTC
6
207-226



(SEQ ID NO: 85)
(SEQ ID NO: 86)







3e10cag6-1
AGCATTTGCAGTGCTAGGGT
ACAGCAACAGCAACAACAGC
1
187-196



(SEQ ID NO: 87)
(SEQ ID NO: 88)







3f10gtt8-1
GAAGCTATTTGGGCGAGCTT
CATTATGGCGTCATTTGATCC
4
190-197



(SEQ ID NO: 89)
(SEQ ID NO: 90)







3g06aga9-1
GACACCGTTTTCGGTGATTT
TGAAACACGTTCCCACAAAG
2
295-301



(SEQ ID NO: 91)
(SEQ ID NO: 92)







AA04
GAACTATCACCTTTCCCTTGGA
ATTCCGGTCGTCAGAATCAG
4
306-315



(SEQ ID NO: 93)
(SEQ ID NO: 94)







AA06
AGCAGGTGGAAGAATTGGTG
CGCGTGTGTTTAGAGAGAGAGA
5
177-179



(SEQ ID NO: 95)
(SEQ ID NO: 96)







AC126014
TTCTTCTTGGACTTGCACCA
TAAGGATGACCCAACCAAGC
4
301-308



(SEQ ID NO: 97)
(SEQ ID NO: 98)







AC155884
TTCTTAGCTTGAAGGGCACG
CCATTCCTGGTTGTCAGTCC
2
154-162



(SEQ ID NO: 99)
(SEQ ID NO: 100)







AFct11
TTGTGTGGAAAGAATAGGAA
GGACAGAGCAAAAGAACAAT
6
203-210



(SEQ ID NO: 101)
(SEQ ID NO: 102)







AFct45
GCCATCTTTTCTTTTGCTTC
TAAAAAACGGAAAGAGTTGGTTAG
7
153-162



(SEQ ID NO: 103)
(SEQ ID NO: 104)







AI01
TTGAAAATTGGGAACGGAAA
GTTGGAGTGGGAAATTGCAG
7
196-200



(SEQ ID NO: 105)
(SEQ ID NO: 106)







AJ02
GGAAGAGGGAGAAGGAGATGA
TCAATGGCGAACACTTTCAC
1
222-231



(SEQ ID NO: 107)
(SEQ ID NO: 108)







AL111
TGCAGCCAGGTGAATAACAA
CATCTGATGGTGGTGATTGG
8
197-200



(SEQ ID NO: 109)
(SEQ ID NO: 110)







AL64
CCAATATGTCACTCCTTGCTGA
AGGTGGCAAGCCTAACTGAA
8
237-240



(SEQ ID NO: 111)
(SEQ ID NO: 112)







AL79
TCCTCAACCAACCACTTCCT
CCCCATTGACGCATTCTTAC
8
259-268



(SEQ ID NO: 113)
(SEQ ID NO: 114)







AL81
GTGGTGGAGAAGGAGCAATC
CAATCCTCCACCATCACCTT
1
228-257



(SEQ ID NO: 115)
(SEQ ID NO: 116)







AL83
CGTTACCGTCACTGTCGTTG
CAAACCTGATTCCGACCCTA
1
153-159



(SEQ ID NO: 117)
(SEQ ID NO: 118)







AL84
CTGCACCCCCTAAAAATCAA
CTCATTGCCCTTCTCACACA
4
156-164



(SEQ ID NO: 119)
(SEQ ID NO: 120)







AL92
TGACTCTTGCATGCAGTTCC
TGCTCCTCCTCTGCTTCTTC
8
201-209



(SEQ ID NO: 121)
(SEQ ID NO: 122)







AL96
GCCCCCTCACGTTTTTATTT
CAATTTTGGTTGGTTATGCTCA
8
150-155



(SEQ ID NO: 123)
(SEQ ID NO: 124)







AL97
TCCCTCTTACACCTCTCATGC
TCTCCTTGGAATTGAACCTG
6
144-194



(SEQ ID NO: 125)
(SEQ ID NO: 126)







AL99
CAGAAATTTCCATGCCAAAA
AGTTGTGGATTGGGTGAAGC
2
167-176



(SEQ ID NO: 127)
(SEQ ID NO: 128)







AW107
AAACATCGGCTTCGGAAGTA
TTTTTGAGCAGTGTAATGGTGTAA
3
203-205



(SEQ ID NO: 129)
(SEQ ID NO: 130)







AW108
CCATGGCGTCTACCCATTAT
TTTTTCACAGCACTGAAGAGG
3
220-223



(SEQ ID NO: 131)
(SEQ ID NO: 132)







AW11
GACATTTGCAGACCACCATT
ATTCGCAGTGAGCTGATCCT
8
214-237



(SEQ ID NO: 133)
(SEQ ID NO: 134)







AW123
CATGTTTCCGGTTCTGGTTT
AGTCCCTGCAAAATCCCTTC
7
200-207



(SEQ ID NO: 135)
(SEQ ID NO: 136)







AW134
TGGAAACAGCAAAACCACCT
TCCGAAATCTGAAACCAACC
4
201-227



(SEQ ID NO: 137)
(SEQ ID NO: 138)







AW150
TCCACAAATGTCTAAAACCAACA
TTTTGTGTAGGGATGCAAAGG
7
186-193



(SEQ ID NO: 139)
(SEQ ID NO: 140)







AW16
GTGGGGTTGGTGAGAGTGTT
ATCGTCCCCACTGTGTCTTC
2
207-234



(SEQ ID NO: 141)
(SEQ ID NO: 142)







AW177
CAGCAAAATCCAATCCTTCAG
TTCTCATCGTCACTCCAAAGAA
7
288-291



(SEQ ID NO: 143)
(SEQ ID NO: 144)







AW186
TGCTTGAACTTTGAGTCTTGGA
TCTCTCCATCATCACCATCATC
8
237-240



(SEQ ID NO: 145)
(SEQ ID NO: 146)







AW196
AACTCGCAGGTGTTTTATCGTT
AATCTCAACCGCAACAAACTCT
5
209-217



(SEQ ID NO: 149)
(SEQ ID NO: 150)







AW199
CATGGAGAAGCAGAACTGGAG
CCAAACAACAACCAACTCTCTG
1
318-333



(SEQ ID NO: 151)
(SEQ ID NO: 152)







AW201
CCGTCTTTACATGAATCCACAA
CACAGTCATCATCCTTGCTCTC
8
286-299



(SEQ ID NO: 153)
(Nucleotides 19 through 40 






of SEQ ID NO: 154)







AW212
GGTTAGGGTTTTGGGTTTGAA
GTCGAAATGGTTGCTTCTCTTT
7
242-272



(SEQ ID NO: 155)
(Nucleotides 19 through 40 






of SEQ ID NO: 156)







AW213
CATGTACGGGGATTGTTGTTTT
ACCCTTGTGGGTTCTTCTTCTT
3
262-270



(SEQ ID NO: 157)
(Nucleotides 19 through 40 






of SEQ ID NO: 158)







AW232
AGCACTTTGTTCATCGTTCTGA
AAGAGAGTATCGTGGAGCCGTA
4
189-198



(SEQ ID NO: 161)
(Nucleotides 19 through 40 






of SEQ ID NO: 162)







AW252
CTTGAGAAAGCGAAGGTTTTGT
CTCGTTCATTAGCAGTTGCAGT
7
142-144



(SEQ ID NO: 163)
(Nucleotides 19 through 40 






of SEQ ID NO: 164)







AW254
CACATCTTCGTCATCATCTTCA
TATATGCTTGTTGAGGCCACTG
7
210-216



(SEQ ID NO: 165)
(Nucleotides 19 through 40 






of SEQ ID NO: 166)







AW255
TGCTTGAACTTTGAGTCTTGGA
TCTCTCCATCATCACCATCATC
8
234-243



(SEQ ID NO: 167)
(Nucleotides 19 through 40 






of SEQ ID NO: 168)







AW258
GAGTATCGGAAGAGGGTTGTTG
AATTGGAACCTATCGTTGTCGT
8
240-243



(SEQ ID NO: 169)
(Nucleotides 19 through 40 






of SEQ ID NO: 170)







AW285
CAACTGTGAACGCAAATCTCTC
AACGACGCTCTTCGACTACTTC
4
119-140



(SEQ ID NO: 173)
(Nucleotides 19 through 40 






of SEQ ID NO: 174)







AW289
GGTGCTTTCATTACATCCCATA
ACGAGGCACACACTCTCTCTCT
4
301-307



(SEQ ID NO: 175)
(Nucleotides 19 through 40 






of SEQ ID NO: 176)







AW306
GTGTTCGTCGCATATCACCTC
GCATTTCCCTCTCTTTCCATAA
3
242-247



(SEQ ID NO: 177)
(Nucleotides 19 through 40 






of SEQ ID NO: 178)







AW310
CAATGCAAGAAACCCTAAAAGC
CCACTCAACCTCATCTCTCTACC
2
327-353



(SEQ ID NO: 179)
(Nucleotides 19 through 41 






of SEQ ID NO: 180)







AW325
GCTTGTTGTTGTTGTTGATGCT
TCTGTAAGAGGGTCACTGCGTA
8
160-172



(SEQ ID NO: 183)
(Nucleotides 19 through 40 






of SEQ ID NO: 184)







AW326
GCATATCCATTCCAAGTTCATC
ACTTTCTTCCTCATTGCTCTGC
7
199-206



(SEQ ID NO: 185)
(Nucleotides 19 through 40 






of SEQ ID NO: 186)







AW329771
ATCCCATTCAAGGAAACACC
GGAATAATGCTGGTGGAAGC
7
244-254



(SEQ ID NO: 187)
(Nucleotides 19 through 38 






of SEQ ID NO: 188)







AW334
CGATGTTTGTTTGAGCTAGTGA
GAGAGAGAGAGAGAGCATTGAGC
8
240-247



(SEQ ID NO: 189)
(Nucleotides 19 through 41 






of SEQ ID NO: 190)







AW347
GAACGGGTTTGCGATCTTT
CCATGTCTCTCAATCTTCGTCA
4
321-324



(SEQ ID NO: 191)
(Nucleotides 19 through 40 






of SEQ ID NO: 192)







AW352
ATCTCCTCGTGTATTCCTTCCA
ACGTTCCTCCTTCATCTCGTAA
7
207-212



(SEQ ID NO: 193)
(Nucleotides 19 through 40 






of SEQ ID NO: 194)







AW359
TTCAAGGATCTGGTGATGATGA
GAGGAAGAGGAAGAGGAGGAAG
5
175-184



(SEQ ID NO: 195)
(Nucleotides 19 through 40 






of SEQ ID NO: 196)







AW365
TGTTGGTAATGTTCAAGCTCCA
CACCACTATCTCTTCCCTCACC
1
261-273



(SEQ ID NO: 197)
(Nucleotides 19 through 40 






of SEQ ID NO: 198)







AW369
AGAATTGAGACATGGCAGAGG
GCGCTCATCATCTTCATCTAAA
5
103-169



(SEQ ID NO: 199)
(Nucleotides 19 through 40 






of SEQ ID NO: 200)







AW379
TTCTCGAAATCTTCTGCTCTCG
GTCTCTCTCTATTCTCTTCCCTTTTC
3
165-174



(SEQ ID NO: 201)
(Nucleotides 19 through 44 






of SEQ ID NO: 202)







AW389
GCAGCCTTCAAATCTCCATAAC
TCACTCTCTCACCAATCACCAC
5
482-497



(SEQ ID NO: 203)
(Nucleotides 19 through 40 






of SEQ ID NO: 204)







AW64
CATGTTTCCGGTTCTGGTTT
AGTCCCTGCAAAATCCCTTC
7
200-207



(SEQ ID NO: 205)
(Nucleotides 19 through 38 






of SEQ ID NO: 206)







AW86
TTGTTGCAGCAATTAAGGAAGA
ATTGCCATTGCCTCTCTCAT
1
174-222



(SEQ ID NO: 207)
(Nucleotides 19 through 38 






of SEQ ID NO: 208)







AW97
ACAAAAACTCTCCCGGCTTT
CAAAACAATCAAACCAAAGATTG
3
220-232



(SEQ ID NO: 209)
(Nucleotides 19 through 41 






of SEQ ID NO: 210)







AW98
ATTCATCCTTGCTCGTTTCG
GATCAATTCGTGCAGAAGCA
2
205-232



(SEQ ID NO: 211)
(Nucleotides 19 through 38 






of SEQ ID NO: 212)







BE105
AAGGGCAAAACCGTAAAAGAGT
ATCACCCCAAACCACATCTATC
1
236-242



(SEQ ID NO: 213)
(Nucleotides 19 through 40 






of SEQ ID NO: 214)







BE114
ATGAAGCTGTTGTTGTTGCAGT
CCACCTCATCACTCCGTAAAA
3
198-220



(SEQ ID NO: 562)
(SEQ ID NO: 563) 







BE118
TGCAAACTTCACCGAATAGATG
CTCCTTTGTAACGCAACAGCAG
8
233-241



(SEQ ID NO: 217)
(Nucleotides 19 through 40 






of SEQ ID NO: 218)







BE120
CATCATCCTTCATTTCCGATCT
TCTCACATTCACATTCCATTCC
5
234-234



(SEQ ID NO: 219)
(Nucleotides 19 through 40 






of SEQ ID NO: 220)







BE123
TTGATGGGTAAAGGAGAAGGTG
ATCACAAGCCTCAACAGCCATA
7
211-229



(SEQ ID NO: 221)
(Nucleotides 19 through 40 






of SEQ ID NO: 222)







BE41
ACGCCTCTCTTTCCGATCTT
TCACTCACACTCAACACACAACA
3
212-223



(SEQ ID NO: 223)
(Nucleotides 19 through 41 






of SEQ ID NO: 224)







BE67
CACCAGCCTCTAAGCTCATTTT
CTCCATTCTCCATTTCAATACC
3
167-182



(SEQ ID NO: 225)
(Nucleotides 19 through 40 






of SEQ ID NO: 226)







BE74
GCACAAGCAGCCATATTGATAG
TACTGTCCCAATCTTCACAACG
7
238-267



(SEQ ID NO: 227)
(Nucleotides 19 through 40 






of SEQ ID NO: 228)







BE76
TGAAAGTTGAAGGATCTGGTGA
GAGGAAGAGGAAGAGGAGGAAG
5
182-191



(SEQ ID NO: 229)
(Nucleotides 19 through 40 






of SEQ ID NO: 230)







BE84
TGGGATACTGATTTTCTGCTTC
TCCGAACCCTACTTCCAAATTA
4
223-229



(SEQ ID NO: 231)
(Nucleotides 19 through 40 






of SEQ ID NO: 232)







BE85
CTGATTCGAGATTGGGATTGAT
TTTCCTCTTATTATTCTTTCATACCC
3
233-246



(SEQ ID NO: 233)
(Nucleotides 19 through 44 






of SEQ ID NO: 234)







BE92
GATGAGGATGATGATGAATTGG
AGTTCAAACCCTTACCCTTCA
6
190-199



(SEQ ID NO: 235)
(Nucleotides 19 through 39 






of SEQ ID NO: 236)







BF106
GTTTTCCTGGATATTTGGATGG
TTCAATCTTCTCCTTTGATTGC
5
214-218



(SEQ ID NO: 237)
(Nucleotides 19 through 40 






of SEQ ID NO: 238)







BF111
TCAGTGAGAAGGTCGTTCATGT
TGAGAGAGAGTTCGTGGGTTG
2
170-205



(SEQ ID NO: 239)
(Nucleotides 19 through 39 






of SEQ ID NO: 240)







BF119
GTGATGAAGCATTGGTGATGAT
AATGGCGAACACTTTCACTCTT
1
119-159



(SEQ ID NO: 241)
(Nucleotides 19 through 40 






of SEQ ID NO: 242)







BF120
ATTTCAGAGGCAGATGGTGAAT
TAGCAAAATGGGTCAACAAGTG
3
224-226



(SEQ ID NO: 243)
(Nucleotides 19 through 40 






of SEQ ID NO: 244)







BF132
AATCCAGCTTTGGAAGACTCAA
TTCTTGTGGTGGTGATGAAAAC
7
205-214



(SEQ ID NO: 245)
(Nucleotides 19 through 40 






of SEQ ID NO: 246)







BF142
GTGTGTTCCCCAGTTCTCAGTT
CATACCCTTCAAATCCAACCAT
7
263-266



(SEQ ID NO: 247)
(Nucleotides 19 through 40 






of SEQ ID NO: 248)







BF147
GATTGTTCTTTGGTAAGCCTCA
ACTGCAAGTGAAGAGGGAGAGA
5
147-150



(SEQ ID NO: 249)
(Nucleotides 19 through 40 






of SEQ ID NO: 250)







BF149
GCTTCTTTGGCTTTCTCTTCAA
CGTTTCCCTCTCTCACTCACTT
6
103-113



(SEQ ID NO: 251)
(Nucleotides 19 through 40 






of SEQ ID NO: 252)







BF150
ATCAGAAACAGAAGCATCAGCA
CTCCAAAACTCAAACTCAACCA
2
274-277



(SEQ ID NO: 253)
(Nucleotides 19 through 40 






of SEQ ID NO: 254)







BF184
CTAGACTTGCCGCTACTTTGG
CAACAATCACCACACACATTGA
4
284-304



(SEQ ID NO: 255)
(Nucleotides 19 through 40 






of SEQ ID NO: 256)







BF215
GGAAACATAGATGAAGCAGCAA
AGCAAGCAAAGAACAATCACAA
2
230-237



(SEQ ID NO: 257)
(Nucleotides 19 through 40 






of SEQ ID NO: 258)







BF218
TCGGATTTGGTTTTGAGTTTTC
CTCAGGAGGTGCTGTTCTTCTT
8
243-245



(SEQ ID NO: 259)
(Nucleotides 19 through 40 






of SEQ ID NO: 260)







BF220
TGAGTTTTCAGATTCAGCAGGA
ATCATCGTCGTCGTGTTTATTG
3
287-308



(SEQ ID NO: 261)
(Nucleotides 19 through 40 






of SEQ ID NO: 262)







BF223
AATAGGGTTTGATTGAGGAGCA
CGACGAACAGAAGCTAAGAGATG
4
124-136



(SEQ ID NO: 564)
(SEQ ID NO: 565) 







BF225
TTTTCATCTGTGCCCTGTAATG
TCACTCACACTCAACACACAACA
3
190-201



(SEQ ID NO: 263)
(Nucleotides 19 through 41 






of SEQ ID NO: 264)







BF228
ATTAGAAGCTCCGTTACCGTCA
ATAACCAACTCCAAACCACACC
1
143-153



(SEQ ID NO: 265)
(Nucleotides 19 through 40 






of SEQ ID NO: 266)







BF24
TTGAAAATTGGGAACGGAAA
GTTGGAGTGGGAAATTGCAG
7
196-200



(SEQ ID NO: 267)
(Nucleotides 19 through 38 






of SEQ ID NO: 268)







BF257
ATGCCAGGATGGTGATACATCT
GGATTTGGGCGTGAGACTATAC
3
412-430



(SEQ ID NO: 269)
(Nucleotides 19 through 40 






of SEQ ID NO: 270)







BF26
TCAAAGTTGTTGTTCTGCTTGAA
TCTCACACCCCAAAAACACA
7
289-306



(SEQ ID NO: 271)
(Nucleotides 19 through 38 






of SEQ ID NO: 272)







BF71
CGGTGAAATGGTGGAAGAAG
TAACAAAACCCAACCCCATC
4
216-229



(SEQ ID NO: 277)
(Nucleotides 19 through 38 






of SEQ ID NO: 278)







BF79
GGTGTGGAGAGGGAGGGTAG
CGAGGGATATTCTTTCCCTTAAA
3
182-197



(SEQ ID NO: 279)
(Nucleotides 19 through 41 






of SEQ ID NO: 280)







BF97
CTACCTCCAGCAGAACCATGTC
GTAACCATCCTTTGAGTTCGTCTG
8
249-252



(SEQ ID NO: 281)
(Nucleotides 19 through 42 






of SEQ ID NO: 282)







BG115
TGCATTTGTTAACGAGTGTGAA
CCACAGAAGAAAGAAGAACTTGC
3
208-230



(SEQ ID NO: 283)
(Nucleotides 19 through 41 






of SEQ ID NO: 284)







BG119
TCGAGGCCAATAGAAGACCTAA
GGTTCTCTTCCAATCCCTTCTT
7
265-281



(SEQ ID NO: 285)
(Nucleotides 19 through 40 






of SEQ ID NO: 286)







BG134
TTTTCAAGGAGGAGAAGATCCA
ACCCCACCTAACCCTCTACAGT
5
190-203



(SEQ ID NO: 287)
(Nucleotides 19 through 40 






of SEQ ID NO: 288)







BG137
CAGAGCAATAAGAACACCAGGA
ACTCTTCCTCGCCACTTCAAC
1
320-323



(SEQ ID NO: 566)
(SEQ ID NO: 567)







BG143
GGTAATCGTTGGCGTTGTTTAT
TCAGGTAGTTGACGACGAAGAA
2
125-134



(SEQ ID NO: 291)
(Nucleotides 19 through 40 






of SEQ ID NO: 292)







BG157
CAACGCCTCCTCTTTCTCTGTA
CTCAAAACCCTAACTTCTTCAACC
5
146-154



(SEQ ID NO: 293)
(Nucleotides 19 through 42 






of SEQ ID NO: 294)







BG166
CAACTGTGAACGCAAATCTCTC
AACGACGCTCTTCGACTACTTC
4
120-141



(SEQ ID NO: 295)
(Nucleotides 19 through 40 






of SEQ ID NO: 296)







BG171
GGATCCAACCGAATTTCTTTC
ACCTAGCAACCCAAATCAGAAG
4
192-195



(SEQ ID NO: 297)
(Nucleotides 19 through 40 






of SEQ ID NO: 298)







BG172
CCTCGAAAAGATTACCGAACAC
CGCCTTCTTCTTCAACACACTA
4
190-194



(SEQ ID NO: 299)
(Nucleotides 19 through 40 






of SEQ ID NO: 300)







BG178
TTCTCCTTGACCAACCTTGATT
ACCCACTCAACTCAACACACAC
7
212-226



(SEQ ID NO: 301)
(Nucleotides 19 through 40 






of SEQ ID NO: 302)







BG180
AGAAGGTGGAACACGTCTCTTC
CTACAAGCCCAGATTTCAAAGG
1
159-172



(SEQ ID NO: 303)
(Nucleotides 19 through 40 






of SEQ ID NO: 304)







BG181
TTCGCAGTTCTTGAGTAGGTCA
TACTTCATGTACCCCACAACCA
1
162-167



(SEQ ID NO: 305)
(Nucleotides 19 through 40 






of SEQ ID NO: 306)







BG186
TTGTCGATGAGTTCAACGTTTC
ACAACAAAACACAATGGGTGAC
8
166-189



(SEQ ID NO: 307)
(Nucleotides 19 through 40 






of SEQ ID NO: 308)







BG208
AGTAACCGCGAACCAAAGAGTA
ACACCTCGAACAAGATTCATCC
1
220-226



(SEQ ID NO: 309)
(Nucleotides 19 through 40 






of SEQ ID NO: 310)







BG218
ACCATATCCACAGGCATAATCC
AATCCATACTCAAACCCACCAG
2
285-301



(SEQ ID NO: 311)
(Nucleotides 19 through 40 






of SEQ ID NO: 312)







BG222
ATCACGAGAACCGCCATAAGAT
AGGGCTGATGAGGTGGATAAT
4
228-237



(SEQ ID NO: 313)
(Nucleotides 19 through 39 






of SEQ ID NO: 314)







BG229
GAACGGGTTTGCGATCTTT
CCATGTCTCTCAATCTTCGTCA
4
321-323



(SEQ ID NO: 315)
(Nucleotides 19 through 40 






of SEQ ID NO: 316)







BG231
GCATGTATGATTTACAGCTCCAAG
CCACAGTTTCATTTTCTGTCCA
2
383-399



(SEQ ID NO: 317)
(Nucleotides 19 through 40 






of SEQ ID NO: 318)







BG232
TGCCTTTGATTAGTGCTGACAT
CTCTGCTCCCATCTACTTCACA
8
167-172



(SEQ ID NO: 319)
(Nucleotides 19 through 40 






of SEQ ID NO: 320)







BG234
GCAACATACCATCCCCTAAAAG
GCTGGAATACACCAAGCATGA
1
217-251



(SEQ ID NO: 321)
(Nucleotides 19 through 40 






of SEQ ID NO: 322)







BG248
ACATAAGCGACTGGAACAAACC
GGATACAAAATCCACAAGCACA
1
284-348



(SEQ ID NO: 323)
(Nucleotides 19 through 40 






of SEQ ID NO: 324)







BG257
ATTTCAGAGGCAGATGGTGAAT
TAGCAAAATGGGTCAACAAGTG
3
223-230



(SEQ ID NO: 327)
(Nucleotides 19 through 40 






of SEQ ID NO: 328)







BG272
CAGGGGAATCAATCAGTCAAAG
AAACAGAGAGACAGGAATTTGGA
3
446-456



(SEQ ID NO: 329)
(Nucleotides 19 through 41 






of SEQ ID NO: 330)







BG280
TGTTGAAGTTGGAGTTTTGGTG
TCAGCAGTTAGTTTTGGTATGC
2
126-149



(SEQ ID NO: 331)
(Nucleotides 19 through 40 






of SEQ ID NO: 332)







BG281
GGTTGGAAACAAAGTCAGAACC
ACATCATCAACAGCAAAACCAG
7
195-198



(SEQ ID NO: 333)
(Nucleotides 19 through 40 






of SEQ ID NO: 334)







BG285
TGCTTCTTGGTTTCTCATCATC
ATGGTTATGTGGGTTGTGTTCA
1
309-316



(SEQ ID NO: 335)
(Nucleotides 19 through 40 






of SEQ ID NO: 336)







BG82
TTCCCATATGCAACAGACCTT
AACGGTGGTGTGTTTATTGCT
3
195-204



(SEQ ID NO: 337)
(Nucleotides 19 through 39 






of SEQ ID NO: 338)







BG96
TTAACGAGGGTGGTGATGGT
TCGATGTTATGGTAGCAGCAA
3
184-191



(SEQ ID NO: 341)
(Nucleotides 19 through 39 






of SEQ ID NO: 342)







BI107
AGCAGTGATGTCTTGGCTATGT
GTTTCCGGTTCTTTGTCGTTC
5
354-429



(SEQ ID NO: 343)
(Nucleotides 19 through 39 






of SEQ ID NO: 344)







BI113
AACATCGTAATGAGGAGGAGGA
ACAGTATCAGCAACACCAGCAG
8
241-253



(SEQ ID NO: 345)
(Nucleotides 19 through 40 






of SEQ ID NO: 346)







BI116
TCAACCCTTCAGATTTTCTTCC
CACACTTTCTCGTTTGCTCTCT
8
218-226



(SEQ ID NO: 347)
(Nucleotides 19 through 40 






of SEQ ID NO: 348)







BI122
CAATTTCCTTAGTGGCCGTTAC
TTATTAGCTGGGCTTTTCTTCG
7
366-369



(SEQ ID NO: 349)
(Nucleotides 19 through 40 






of SEQ ID NO: 350)







BI68
ATCAGCGTAAATTCTGGCCTTA
CCATTCCAATCCACACTATCG
5
261-276



(SEQ ID NO: 351)
(Nucleotides 19 through 39 






of SEQ ID NO: 352)







BI75
CGTAGGAAGAAGGATCGAGTTC
CCCAATTCAAAACGAAGAACC
4
187-193



(SEQ ID NO: 353)
(Nucleotides 19 through 39 






of SEQ ID NO: 344)







BI86
CGTCGAAGTCAAAATCAATCTC
GAAAAGAAATCACCCCGAAGAT
8
223-249



(SEQ ID NO: 355)
(Nucleotides 19 through 40 






of SEQ ID NO: 356)







BI96
CTCATTCACCCAACCAAAATGT
GGCTAATTCACCTGTTTCTGCT
4
195-197



(SEQ ID NO: 357)
(Nucleotides 19 through 40 






of SEQ ID NO: 358)







BI98
TCAACAGCCAACTCAAAGTGAT
CATCAATCAACCCTTTCGTTTC
6
154-164



(SEQ ID NO: 359)
(Nucleotides 19 through 40 






of SEQ ID NO: 360)







MsTri7698
CAGTTGATGCATAGAAACGCA
AAGCGATTTCATTAGTAGTTGT
8
194-196



(SEQ ID NO: 447)
(Nucleotides 19 through 40 






of SEQ ID NO: 448)







MsTri7729
ATCTGGGAAGTGTGACCTCCT
TCAAAACCTTGGTGTTGGTTG
4
295-300



(SEQ ID NO: 395)
(Nucleotides 19 through 39 






of SEQ ID NO: 396)







MsTri7771
CATACTATGGTGGTGGTTGGG
CTCTTTAAGATTGCTTCTCTTGC
8
368-393



(SEQ ID NO: 397)
(Nucleotides 19 through 41 






of SEQ ID NO: 398)







MsTri7807
TCACCAGCACATGAATCAAAA
AACAACCTAGATTTTCTCGACC
8
238-242



(SEQ ID NO: 449)
(Nucleotides 19 through 40 






of SEQ ID NO: 450)







MsTri8119
AGGGTTGATGCAGATGTTACG
ATTGCAATCATCTTCTCCCCT
3
270-282



(SEQ ID NO: 451)
(Nucleotides 19 through 39 






of SEQ ID NO: 452)







MsTri8491
GGACGGTTTCGAACTTCTAGC
CGAGGCATCTTCATCTTCAAC
7
206-222



(SEQ ID NO: 399)
(Nucleotides 19 through 39 






of SEQ ID NO: 400)







MsTri8616
AACAATATGATCTGGCATGTCG
GGAAGATCACCATTTTGTCCA
7
274-281



(SEQ ID NO: 453)
(Nucleotides 19 through 39 






of SEQ ID NO: 454)







MsTri8637
GATAAAGCTCCCACAGTTCCC
CTCTTTTCTCTTCAATTTTCAAT
3
232-238



(SEQ ID NO: 401)
(Nucleotides 19 through 41 






of SEQ ID NO: 402)







MsTri8733
AGGTACAAGCCATGATGTCCA
TTTCCAAACTTTCCTTCTTTTG
6
188-205



(SEQ ID NO: 455)
(Nucleotides 19 through 40 






of SEQ ID NO: 456)







MsTri8791
ACAAGAAGAAGATTGCGACGA
TGAAGGAAGAAGGAAGAAGGAA
6
178-180



(SEQ ID NO: 457)
(Nucleotides 19 through 40 






of SEQ ID NO: 458)







MsTri8899
CGCAGCACATGTAACTTGAAA
CACATTCTCTTCGTGCCCTC
8
340-397



(SEQ ID NO: 459)
(Nucleotides 19 through 38 






of SEQ ID NO: 460)







MsTri8923
TCCGAAAAAGGTGACAGATTG
GGCTCACAACAACAACAAAAT
8
168-192



(SEQ ID NO: 461)
(Nucleotides 19 through 39 






of SEQ ID NO: 462)







MsTri8930
CCAAACAGATCTAAAGTTCCCA
TGCTTGATTATTGCTAATCGG
3
103-112



(SEQ ID NO: 463)
(Nucleotides 19 through 39 






of SEQ ID NO: 464)







MsTri8931
TACAGTTGCCCATACAGGAGG
CAAACAGGTGACGAGGTGAAT
3
131-150



(SEQ ID NO: 403)
(Nucleotides 19 through 39 






of SEQ ID NO: 404)







MsTri8949
TAAATGCAAGGTAGGTGGTGG
CGAGGACGAGTTCTGGTCAA
7
100-145



(SEQ ID NO: 465)
(Nucleotides 19 through 38 






of SEQ ID NO: 466)







MsTri9154
AAGACCAAGAGGAATCACCGT
TAATTTCATTCGCGATCACAC
1
157-166



(SEQ ID NO: 467)
(Nucleotides 19 through 39 






of SEQ ID NO: 468)







MsTri9223
TGAATGTGAGGAAGTGGGTTT
CCGCCTCAAATAGTTATAAACTTC
8
140-162



(SEQ ID NO: 469)
(Nucleotides 19 through 42 






of SEQ ID NO: 470)







MsTri9326
AGTACTATTGCAATGGCGTGG
GGTTTCGCTTGGAATTCTGAT
3
105-107



(SEQ ID NO: 471)
(Nucleotides 19 through 39 






of SEQ ID NO: 472)







MsTri9329
ATCAAGATCGACTGAACCACG
TTGGCTTTGATTGCTTCAACT
2
117-123



(SEQ ID NO: 405)
(Nucleotides 19 through 39 






of SEQ ID NO: 406)







MsTri9475
TGCATGTAATATCTATCTTTGGAA
CCAAACCCTAGGAGTCTGAGGT
6
146-146



(SEQ ID NO: 568)
(SEQ ID NO: 569)







MsTri9544
ATTTTTCCACTTCTGGTGGGA
CAACACAATCATTTTGGGAGC
5
159-177



(SEQ ID NO: 473)
(Nucleotides 19 through 39 






of SEQ ID NO: 474)







MsTri9820
TCTTGTTGATATAATCTACGGAA
CCTGATGGTCATCACTAAGCC
8
116-120



(SEQ ID NO: 475)
(Nucleotides 19 through 39 






of SEQ ID NO: 476)







MsTri9849
TGAGGCTTAACCTTAGGAGGC
TTTCAAATCCAAGTGGTGGAG
5
161-167



(SEQ ID NO: 407)
(Nucleotides 19 through 39 






of SEQ ID NO: 408)







MsTri10127
GGGAAACCATTTCGTACCCTA
AATTCCCAATTCTCATTCGTG
4
123-134



(SEQ ID NO: 409)
(Nucleotides 19 through 39 






of SEQ ID NO: 410)







MsTri10235
TTGCCATCGTAGAAAATGGTC
CCTTAACACATTTTTGCTTCA
2
353-368



(SEQ ID NO: 411)
(Nucleotides 19 through 39 






of SEQ ID NO: 412)







MsTri10456
TGTCGTCTTTTGACCATTTCC
TTATCATGTGCAGACAATACC
1
283-296



(SEQ ID NO: 413)
(Nucleotides 19 through 39 






of SEQ ID NO: 414)







MsTri10581
CCTTGGCAGCTACAGGTACAG
GTCTGCTGCTCCAGCTAAGAA
7
306-316



(SEQ ID NO: 369)
(Nucleotides 19 through 39 






of SEQ ID NO: 370)







MsTri10592
GATTAAACATACATGCAACATTGA
GGTTGAAATCGACATGAGAGG
8
151-161



(SEQ ID NO: 415)
(Nucleotides 19 through 39 






of SEQ ID NO: 416)







MsTri10649
GGATATCCTGGTGGAGGGTAA
ACAACCCCATTTCCAACTTTC
1
293-317



(SEQ ID NO: 373)
(Nucleotides 19 through 39 






of SEQ ID NO: 374)







MsTri10686
CCAACACTTTAAGCCTCCAAA
TGTTCTCCTCTCTTCGTCTCTTG
5
126-132



(SEQ ID NO: 417)
(Nucleotides 19 through 41 






of SEQ ID NO: 418)







MsTri10743
CCGGTTCTGTTTGGTAGTGAA
AACCAGAGAAAAATCCAACCA
5
111-120



(SEQ ID NO: 419)
(Nucleotides 19 through 39 






of SEQ ID NO: 420)







MsTri10801
GGAGCAAACATTCTACCACCA
TCACAAAACAAACCCTTCTTCT
5
432-448



(SEQ ID NO: 377)
(Nucleotides 19 through 40 






of SEQ ID NO: 378)







MsTri10866
CCTTAGGCACATTGAAAACCA
TAAGGGTTCATGCTCACCATC
3
334-340



(SEQ ID NO: 421)
(Nucleotides 19 through 39 






of SEQ ID NO: 422)







MsTri11061
AACATGCACAATTAAGCATTCAA
ACCTGAAAGGCCACAAAAGAT
5
100-111



(SEQ ID NO: 423)
(Nucleotides 19 through 39 






of SEQ ID NO: 424)







MsTri11067
AATTCGGGTGGAATAACAAGC
TTGCCTCGGATTATTACTTGTG
3
137-171



(SEQ ID NO: 425)
(Nucleotides 19 through 40 






of SEQ ID NO: 426)







MsTri11087
TGACTTAGACACCACCGGAGT
TCATCCATTCATTAAAACGCA
3
209-219



(SEQ ID NO: 379)
(Nucleotides 19 through 39 






of SEQ ID NO: 380)







MsTri11090
GCAATCACCTTAGCATTTTGG
GCCAGTTTTGGGCAATTTTAT
2
187-189



(SEQ ID NO: 427)
(Nucleotides 19 through 39 






of SEQ ID NO: 428)







MsTri11131
GTTCAAGCATGGAAAGTTTGG
GGGACCTAATATGATGAACTTACA
8
180-188



(SEQ ID NO: 429)
(Nucleotides 19 through 42 






of SEQ ID NO: 430)







MsTri11311
TGACAGTTTCCACAATCCTCC
GACGAACTCTTTTCTTTTCTGACA
5
305-317



(SEQ ID NO: 431)
(Nucleotides 19 through 42 






of SEQ ID NO: 432)







MsTri11314
ATACACCATAGCACGAGACGC
TAATTCGAGGAGGATTGTGGA
5
131-137



(SEQ ID NO: 381)
(Nucleotides 19 through 39 






of SEQ ID NO: 382)







MsTri11419
ACAAGAAGAAGATTGCGACGA
TGAAGGAAGAAGGAAGAAGGAA
6
177-180



(SEQ ID NO: 433)
(Nucleotides 19 through 40 






of SEQ ID NO: 434)







MsTri11460
AATTTGGACTTTGATTGTGCG
CAAGAACCAGATCATCAACAACA
7
295-306



(SEQ ID NO: 435)
(Nucleotides 19 through 41 






of SEQ ID NO: 436)







MsTri11470
GGAGATGAAGAAGGAGATGGG
TTGAAATAGTGCAAGAAGAACCC
8
306-319



(SEQ ID NO: 385)
(Nucleotides 19 through 41 






of SEQ ID NO: 386)







MsTri11523
TGTCACTTGTTCTGGTCCTTCT
GGAGAGAGCAAAGTCTCTTCAA
2
136-142



(SEQ ID NO: 387)
(Nucleotides 19 through 40 






of SEQ ID NO: 388)







MsTri11701
AGCTTTTTCAACGAGTTCAGC
TTTCATCAACATCAAACACCG
4
173-189



(SEQ ID NO: 439)
(Nucleotides 19 through 39 






of SEQ ID NO: 440)







MsTri11744
TTCTTGGCTTCGACTTCTTCA
CCGATTGGACTCGGAACTT
2
330-373



(SEQ ID NO: 441)
(Nucleotides 19 through 37 






of SEQ ID NO: 442)







MsTri11748
GGATTTCGTTTGGGTTCATTT
TCTGTAACACAGGCAGAGTCG
4
310-316



(SEQ ID NO: 443)
(Nucleotides 19 through 39 






of SEQ ID NO: 444)







MsTri11989
CAGGAACATAACTGTGACCCG
TCCTAATACCCCATTCATTGGT
4
111-112



(SEQ ID NO: 389)
(Nucleotides 19 through 40 






of SEQ ID NO: 390)







MsTri12038
GCCTTTAGGCCAATCAGAGAC
AAGATTAGGGTTTGAGTAAGGGAA
4
211-216



(SEQ ID NO: 391)
(Nucleotides 19 through 42 






of SEQ ID NO: 392)







Mt1D06
GAAGGTTTTGGGTGGTGATG
CCATGGCTCTTTCCTACCAA
7
167-189



(SEQ ID NO: 479)
(Nucleotides 19 through 38 






of SEQ ID NO: 480)







Mt1G03
TGGTTGATCAATGTTCCTCCT
AAAGAGATTGGGTCGGTGAA
8
238-269



(SEQ ID NO: 481)
(Nucleotides 19 through 38 






of SEQ ID NO: 482)







MtBA36F01F1
AATAAACACAGATTCCAAATCCA
TCTTCATCGCTTTCTTCTATTTCA
1
126-145



(SEQ ID NO: 483)
(Nucleotides 19 through 42 






of SEQ ID NO: 484)







MtBC01G06F3
TCAGGACAAACTGCCATTTC
TGCATTGAAGCAAATTAACGA
1
177-189



(SEQ ID NO: 485)
(Nucleotides 19 through 39 






of SEQ ID NO: 486)







MTIC107
TACGTAGCCCCTTGCTCATT
CAAACCATTTCCTCCATTGTG
1
170-184



(SEQ ID NO: 487)
(Nucleotides 19 through 39 






of SEQ ID NO: 488)







MTIC124
TTGGGTTGTCAATAATGCTCA
TTGTCACGAGTGTTGGAATTTT
3
135-192



(SEQ ID NO: 489)
(Nucleotides 19 through 40 






of SEQ ID NO: 490)







MTIC169
GCGTGCTAGGTTTGAGAGGA
TCAAAACCCTAAAACCCTTTCTC
3
 99-113



(SEQ ID NO: 491)
(Nucleotides 19 through 41 






of SEQ ID NO: 492)







MTIC19
TGCAACAGAAGAAGCAAAACA
TCTAGAAAAAGCAATGATGTGAGA
2
149-166



(SEQ ID NO: 495)
(Nucleotides 19 through 42 






of SEQ ID NO: 496)







MTIC233
AAGGAACAATCCCAGTTTTT
GCGTAACGTAACAACATTCA
1
145-170



(SEQ ID NO: 497)
(Nucleotides 19 through 38 






of SEQ ID NO: 498)







MTIC238
CCTTAGCCAAGCAAGTAAAA
TTCTTCTTCTAGGAATTTGGAG
5
140-144



(SEQ ID NO: 499)
(Nucleotides 19 through 40 






of SEQ ID NO: 500)







MTIC247
TGAGAGCATTGATTTTTGTG
TTCGCAGAACCTAAATTCAT
1
125-131



(SEQ ID NO: 501)
(Nucleotides 19 through 38 






of SEQ ID NO: 502)







MTIC248
GGATTGTGATGAAGAAATGG
TATCTCCCTTCTCCTTCTCC
8
137-154



(SEQ ID NO: 503)
(Nucleotides 19 through 38 






of SEQ ID NO: 504)







MTIC249
GTGGGTGAGGATGTGTGTAT
TAGGTCATGGCTATTGCTTC
4
122-131



(SEQ ID NO: 505)
(Nucleotides 19 through 38 






of SEQ ID NO: 506)







MTIC250
CGTTGATGATGTTCTTGATG
GCCTGAACTATTGTGAATGG
6
133-136



(SEQ ID NO: 507)
(Nucleotides 19 through 38 






of SEQ ID NO: 508)







MTIC258
TGAAATTCACATCAACTGGA
CACCACCTTCACCTAAGAAA
1
147-151



(SEQ ID NO: 509)
(Nucleotides 19 through 38 






of SEQ ID NO: 510)







MTIC304
AGCGTAAAGTAAAACCCTTTC
TTGGGCTTAATTTGACTGAT
2
159-175



(SEQ ID NO: 511)
(Nucleotides 19 through 38 






of SEQ ID NO: 512)







MTIC332
GGTCATACGAGCTCCTCCAT
CCCTGGGTTTTTGATCCAG
4
148-163



(SEQ ID NO: 513)
(Nucleotides 19 through 37 






of SEQ ID NO: 514)







MTIC338
CATTGGTGGACGAGGTCTCT
TCCCCTTAAGCTTCACTCTTTTC
3
181-196



(SEQ ID NO: 515)
(Nucleotides 19 through 41 






of SEQ ID NO: 516)







MTIC343
CCATTGCGGTGGCTACTCT
TCCGATCTTGCGTCCTAACT
6
140-160



(SEQ ID NO: 517)
(Nucleotides 19 through 38 






of SEQ ID NO: 518)







MTIC35
GGCAGGAACAGATCCTTGAA
GAAGAAGAAAAAGAGATAGATCTGTGG
7
129-132



(SEQ ID NO: 519)
(Nucleotides 19 through 45 






of SEQ ID NO: 520)







MTIC354
AACCTACGCTAGGGTTGCAG
AAGTGCCAAAGAACAGGGTTT
2
244-257



(SEQ ID NO: 521)
(Nucleotides 19 through 39 






of SEQ ID NO: 522)







MTIC452
TCACAAAAACTGCATAAAGC
CTAGTGCCAACACAAAAACA
2
114-126



(SEQ ID NO: 523)
(Nucleotides 19 through 38 






of SEQ ID NO: 524)







MTIC51
ACAAAAACTCTCCCGGCTTT
AGTATAGTGATGAAGTGGTAGTGAACA
3
141-154



(SEQ ID NO: 527)
(Nucleotides 19 through 45 






of SEQ ID NO: 528)







MTIC82
GAGAGGATTTCGGTGATGT
CACTTTCCACACTCAAACCA
7
138-142



(SEQ ID NO: 570)
(SEQ ID NO: 571) 







MTIC84
GGGAAAAGGTGTAGCCATTG
TCTGAGAGAGAGACAAACAAAACAA
1
183-193



(SEQ ID NO: 529)
(Nucleotides 19 through 43 






of SEQ ID NO: 530)







MTIC95
AGGAAGGAGAGGGACGAAAG
AAAGGTGTTGGGTTTTGTGG
1
146-148



(SEQ ID NO: 533)
(Nucleotides 19 through 38 






of SEQ ID NO: 534)







RCS0121
CTGCTTTGGTTTGGAAGAAA
GGAAAGAATATGCAATTTCTCGAT
2
 92-100



(SEQ ID NO: 535)
(Nucleotides 19 through 42 






of SEQ ID NO: 536)







RCS1209
TGAACTTTGAAGCCACATTGA
AAAATCCAGAAGCACGAGTGA
4
109-111



(SEQ ID NO: 537)
(Nucleotides 19 through 39 






of SEQ ID NO: 538)







RCS2510
GCCCTAAAAGTTGAAAGAGCA
CACGAGGGAACACTTCATCA
6
122-220



(SEQ ID NO: 539)
(Nucleotides 19 through 38 






of SEQ ID NO: 540)







RCS2936
CCAATGCAATTCGGTAATCC
CGTTATTTATCCCTCCGGGT
8
141-376



(SEQ ID NO: 541)
(Nucleotides 19 through 38 






of SEQ ID NO: 542)







RCS4209
TCACAATGGGCACCTAATCA
CAATTTTCGCTGACTGACCA
2
157-158



(SEQ ID NO: 543)
(Nucleotides 19 through 38 






of SEQ ID NO: 544)







RCS4310
GCCATTTGCTTCAACCTTGT
GCCATTGCTGGAATCGTAAT
4
269-272



(SEQ ID NO: 545)
(Nucleotides 19 through 38 






of SEQ ID NO: 546)







TC105099
AGATAGGAATTTGGGTCGGG
ACAACCATGATGTGGGAATG
5
111-117



(SEQ ID NO: 553)
(Nucleotides 19 through 38 






of SEQ ID NO: 554)







TC106861
GCAGGGCTGAGACTCCAGTA
AGCCCTGCTTTTTCTCCTCT
5
245-247



(SEQ ID NO: 555)
(Nucleotides 19 through 38 






of SEQ ID NO: 556)







TC85780-1
AAAGTGACATGATCCACAGG
GCTAAGAAAGCATGGGGTTGTTGG
5
276-283



(SEQ ID NO: 557)
(Nucleotides 19 through 42 






of SEQ ID NO: 558)
















TABLE 6







Number of simplex, duplex, double simplex and co-dominant


SSR markers used to construct tetraploid linkage maps


in each of the parental alfalfa genotypes.










Altet-4
NECS-141















LG
1:1
5:1
3:1
Co-dominant
1:1
5:1
3:1
Co-dominant


















1
20
12
4
7
23
9
4
5


2
23
14
3
9
26
2
3
6


3
19
5
7
8
41
8
7
13


4
38
8
5
17
24
3
5
8


5
33
3
6
10
22
7
6
7


6
29
2
1
11
19
2
1
4


7
22
2
0
5
28
11
0
8


8
14
13
0
3
48
6
0
13


Total
198
59
26
70
231
48
26
64









Example 10
Further QTL Analysis Using SF-ANOVA from Callus and Whole Plant Assays

Twenty markers associated with the response to Al in the callus bioassay were identified using SF-ANOVA (Table 7). Of these markers, 14 were associated with decreasing total callus weight ratio (TCWR) and six with increasing TCWR. Forty-one markers relevant to Al tolerance in the whole plant assay were also found using SF-ANOVA. Of these, 21 markers were associated with increasing total root length ratio (TRLR) and 20 markers were associated with decreasing TRLR.


Using interval mapping, a QTL for callus growth was identified at 90 cM on LG 1 from Altet-4 (FIG. 9A). This QTL explained 20.8% of the phenotypic variation for TCWR. The average TCWR score of the allelic combination Q12 (0.97) was higher than the other possible allelic combinations at this locus, which had an average TCWR score of 0.75 (FIG. 9B). All allelic combinations were represented by at least 16 individuals. These results suggest that a recessive allele providing increased Al-tolerance is present on homologues 1 and 2 in a duplex condition. The SF-ANOVA did not identify a marker with a positive association for TCWR in LG 1 of Altet-4, likely due to the lack of a duplex marker associated with Q1 and Q2 in the QTL region. However, two simplex markers on homolog H3 in the region of the QTL decreased TCWR (Table 7).


Two QTLs for Al tolerance were identified based on interval mapping of the root growth differences in the whole plant assay on LG 4 of Altet-4 (FIG. 10) and LG 7 of NECS-14 (FIG. 11). These QTL explained 15.2% and 21.7% of the variation, respectively, and again suggested the presence of recessive alleles that improve Al tolerance. For the Al tolerance QTL from Altet-4 located on LG 4 (FIG. 10B), the average TRLR of allelic combination Q34 (0.72) was higher than the average TRLR from all other allelic combinations (0.52). The results from the SF-ANOVA show that among the Altet-4 markers on LG 4, five simplex markers on homologs H3 and H4 were positively associated with Al tolerance, while one simplex marker on homolog H1 and one duplex marker bridging homolog H1 and H2 were negatively associated with Al tolerance (Table 7).


Interval mapping was used to identify additional QTLs for Al tolerance on LGs 4 and 7 (FIGS. 10-11) from evaluations at the whole plant level. Soil-based evaluations of the Altet-4×NECS-141 population identified a QTL for root dry weight ratio that represents the relative root growth in unlimed vs limed soil conditions associated with the same markers on LG 4 (data not shown). These represent novel Al tolerance QTLs not previously identified in diploids using the callus bioassay. These QTL are apparently relevant at the whole plant level but not in callus. The lack of correlation between Al tolerance responses in the callus bioassay and whole plant assay suggests that although similar stress responses may be involved, these systems capture different tolerance mechanisms. Al tolerance evaluations at the whole plant level may thus capture defense mechanisms at the cell level as well as complex organ responses, including changes in root growth. The primary effects of growth inhibition due to Al+3 occur at or near the root tip (Kochian et al. Ann Rev. Pl. Biol. 55:459-493, 2004). Alternatively, the additional Al tolerance QTL may have been identified due to the increase in marker density compared to the relatively sparse genetic map used in a diploid mapping study (Narasimhamoorthy et al. TAG 114:901-909, 2007), or they represent QTL that are only relevant at the tetraploid level due to allelic interactions or gene expression changes. Additionally, the tetraploid and diploid populations used to identify Al tolerance QTL differ in their genetic background. The identification of QTLs may vary on the genetic background of the populations used (Monteros et al. Crop Sci. 48:2223-2234, 2008; Tang and Scarth Pl. Breeding 123:254-261, 2004). In Oryza sativa L., the effect of genetic background on QTLs identified was greater than the environmental effects (Liao et al. TAG 103:104-111, 2001).


Al tolerance QTL on LG 7 of NECS-141 explained 21.7% of the phenotypic variation for total root length ratio (TRLR) from the whole plant assay in media. For the Al tolerance QTL identified from the whole plant assay on LG 7 from NECS-141, the average TRLR of the allelic combination Q23 (0.75), was higher than the average TRLR of all other allelic combinations (0.50) (FIG. 11B). No marker significantly associated with the Al tolerance phenotype on LG 7 was identified in the SF-ANOVA, likely due to the absence of markers covering homologs H2 and H3 of NECS-141 in this region (e.g. FIG. 8). However, four simplex markers on homologous chromosome H1 were negatively associated with TRLR thus providing additional evidence showing that the recessive allele on H2 and H3 increases Al tolerance at the whole plant level (Table 7).









TABLE 7







Additional significant markers associated with Al tolerance in alfalfa from the callus bioassay


(CBA) and whole plant assay in media (WPA-M) based on single-factor ANOVA (p < 0.05).
















LGa
Hb
cM
Parent
Marker
Effectc
Mean(0)d
Mean(1)e
SEDf
p value










Callus bioassay
















LG1
H3
75.7
Altet-4
MTIC233-149A

0.817
0.745
0.035
0.041



H3
57.1
Altet-4
MtBA36F01F1-126A

0.828
0.740
0.034
0.011


LG3
H12
50.1
NECS-141
1c09gat6-1-211

0.878
0.772
0.047
0.025



H12
59.8
NECS-141
MsTri9326-107

0.863
0.771
0.044
0.039


LG4
H1
41.1
Altet-4
1h09aat11-1-237

0.825
0.752
0.035
0.041



H14
55.2
Altet-4
MsTri11701-176

0.908
0.774
0.054
0.015



H2
25.3
NECS-141
1h09aat11-1-233
+
0.756
0.831
0.036
0.037


LG5
H4
0
Altet-4
2c06gat6-1-128A

0.847
0.751
0.034
0.006



H4
21.3
Altet-4
BG157-154

0.829
0.737
0.034
0.008



H4
88.1
NECS-141
2c06gat6-1-137
+
0.754
0.827
0.034
0.036


LG6
H2
67.9
NECS-141
3d03atc5-1-244
+
0.752
0.829
0.034
0.025



H2
77.5
NECS-141
MTIC250-133
+
0.751
0.823
0.034
0.039



H1
72.1
NECS-141
MTIC343-140

0.823
0.737
0.034
0.015



H2
72.1
NECS-141
MTIC343-143
+
0.749
0.838
0.034
0.009


LG7
H1
56.2
Altet-4
1b11gtg6-1-313A
+
0.762
0.832
0.035
0.048



H4
8.4
Altet-4
BF26-296A

0.824
0.752
0.034
0.036



H4
6.5
Altet-4
BF56-296A

0.824
0.752
0.034
0.036



H2
53.4
Altet-4
AW212-265

0.829
0.732
0.035
0.007



H1
1.0
NECS-141
BF26-306

0.839
0.740
0.033
0.004



H1
0.1
NECS-141
BF56-306

0.837
0.743
0.033
0.006







Whole plant assay in media
















LG1
H24
68.6
NECS-141
BG137-323

0.582
0.481
0.041
0.013



H1
90.7
NECS-141
BG248-348
+
0.469
0.527
0.029
0.046


LG2
H34
90.9
Altet-4
BF111-173A

0.629
0.530
0.044
0.025



H4
10.9
NECS-141
AW16-234

0.580
0.510
0.035
0.046



H4
8.2
NECS-141
MTIC19-160

0.585
0.507
0.035
0.026


LG3
H3
8.1
Altet-4
BE41-223
+
0.469
0.528
0.029
0.044



H3
5.4
Altet-4
BF220-299
+
0.468
0.531
0.029
0.031



H3
8.5
Altet-4
BF225-201
+
0.469
0.528
0.029
0.044



H4
6.2
Altet-4
BG115-227A

0.527
0.459
0.029
0.021



H3
5.0
Altet-4
MsTri8931-131
+
0.470
0.531
0.029
0.038



H14
16.6
Altet-4
BG272-456

0.582
0.469
0.036
0.002



H1
55.5
NECS-141
BF120-224
+
0.469
0.530
0.029
0.039



H3
61.6
NECS-141
MtBA36F01F1-140

0.522
0.458
0.030
0.032


LG4
H3
67.5
Altet-4
1g05tct12-1-268A
+
0.463
0.537
0.029
0.013



H3
73.1
Altet-4
AW232-195
+
0.463
0.535
0.029
0.014



H1
26.3
Altet-4
AW260-254

0.532
0.456
0.029
0.009



H4
24.8
Altet-4
BE84-229A
+
0.462
0.530
0.029
0.022



H12
27.3
Altet-4
BG166-132A

0.589
0.478
0.039
0.005



H4
31.5
Altet-4
MsTri9857-193A
+
0.468
0.526
0.029
0.049



H3
48.7
Altet-4
RCS1209-109A
+
0.467
0.538
0.029
0.016


LG5
H14
16.2
Altet-4
MsTri11314-131

0.547
0.479
0.034
0.048



H4
54.6
NECS-141
2c12tta5-1-316

0.525
0.456
0.029
0.021



H3
62.3
NECS-141
AW369-169
+
0.451
0.536
0.029
0.004



H12
96.7
NECS-141
AW389-486

0.569
0.480
0.039
0.025



H3
96.7
NECS-141
AW389-489
+
0.460
0.526
0.029
0.026



H3
95.7
NECS-141
MsTri10801-447
+
0.454
0.532
0.029
0.007


LG6
H1
0
Altet-4
1f11aatt4-1-192A

0.533
0.471
0.030
0.037



H3
51.2
Altet-4
3d03cat7-1-303A
+
0.441
0.516
0.033
0.024



H23
28.4
Altet-4
BF149-107A
+
0.431
0.511
0.037
0.033



H14
66.0
Altet-4
MTIC250-136A

0.544
0.476
0.032
0.034



H3
72.3
Altet-4
MTIC343-160
+
0.410
0.509
0.043
0.023



H1
0
NECS-141
1c06tta6-1-214

0.525
0.463
0.029
0.034



H2
67.9
NECS-141
3d03atc5-1-244
+
0.466
0.527
0.029
0.038



H1
26.4
NECS-141
BI98-164

0.523
0.463
0.029
0.045


LG7
H1
57.4
NECS-141
BF142-266

0.528
0.459
0.029
0.019



H1
1.0
NECS-141
BF26-306

0.533
0.459
0.029
0.011



H1
0.1
NECS-141
BF56-306

0.529
0.462
0.029
0.023


LG8
H2
87.3
Altet-4
BI86-223
+
0.460
0.522
0.030
0.038



H12
21.3
NECS-141
AW186-237
+
0.379
0.500
0.058
0.042



H12
20.3
NECS-141
AW255-234
+
0.376
0.503
0.062
0.046



H13
75.2
NECS-141
MsTri11470-319

0.579
0.463
0.063
0.069






aLinkage group




bHomologous chromosome number




cEffect: (+) presence of the marker increases the trait value; (−) absence of the marker increases the trait value




dMean of individuals with marker genotype 0 (absent)




eMean of individuals with marker genotype 1 (present)




fstandard error of the difference between marker class means






Claims
  • 1. A method for increasing the aluminum tolerance of an alfalfa line, said method comprising introgressing at least one chromosomal locus contributing to aluminum tolerance from a parent alfalfa plant into a selected alfalfa line, wherein said chromosomal locus maps between loci Mstri9857-18793A97 and AW260-24554 on linkage group 4.
  • 2. The method of claim 1, wherein the aluminum tolerant alfalfa plant is an agronomically elite plant.
  • 3. The method of claim 1, wherein the aluminum tolerant alfalfa plant is a hybrid or inbred plant.
  • 4. The method of claim 1, wherein the introgressing is by marker-assisted selection using at least a first genetic marker linked to said chromosomal locus.
  • 5. The method of claim 4, wherein the marker is selected from one of those detectable using a primer pair in Table 1.
  • 6. The method of claim 1, wherein the parent alfalfa plant is Altet-4.
  • 7. The method of claim 1, wherein the parent alfalfa plant is a Medicago sativa NECS-141 plant.
  • 8. The method of claim 1, wherein the parent alfalfa plant exhibits at least a 50% reduction in aluminum sensitivity relative to the less aluminum tolerant alfalfa line.
  • 9. The method of claim 8, wherein the parent alfalfa plant displays at least a 75% reduction in aluminum sensitivity relative to the less aluminum tolerant alfalfa line.
  • 10. The method of claim 1 further comprising producing an alfalfa seed by crossing the aluminum tolerant plant with itself or a second alfalfa plant and allowing seed to form.
  • 11. A method for obtaining an alfalfa plant comprising an allele conferring aluminum tolerance, said method comprising: a) obtaining nucleic acids from an alfalfa plant comprising at least a first allele that confers aluminum tolerance, wherein said allele maps between loci Mstri9857-18793A97 and AW260-24554 on linkage group 4;b) assaying said nucleic acids for the presence of at least a first genetic marker that is genetically linked to said allele; andc) selecting the alfalfa plant based on the presence of said genetic marker.
  • 12. The method of claim 11, wherein the alfalfa plant is a progeny of a plant of Altet-4.
  • 13. The method of claim 11, wherein the alfalfa plant is a progeny of a plant of a Medicago sativa NECS-141 plant.
INCORPORATION OF SEQUENCE LISTING

A computer readable form of the sequence listing is contained in the file named “NBLE077_ST25.txt” which is 103 kb (measured in MS-Windows) and was created on Dec. 2, 2013, which is filed herewith and herein incorporated by reference. This application claims the benefit of priority of U.S. Provisional Application Ser. No. 61/433,205, filed on Jan. 15, 2011, the disclosure of which is incorporated herein by reference in its entirety.

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Related Publications (1)
Number Date Country
20120185961 A1 Jul 2012 US
Provisional Applications (1)
Number Date Country
61433205 Jan 2011 US