ISOLATED POLYNUCLEOTIDES EXPRESSING OR MODULATING dsRNAs, TRANSGENIC PLANTS COMPRISING SAME AND USES THEREOF IN IMPROVING NITROGEN USE EFFICIENCY, ABIOTIC STRESS TOLERANCE, BIOMASS, VIGOR OR YIELD OF A PLANT

Abstract
A method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant is provided by expressing within the plant an exogenous polynucleotide at least 90% identical to SEQ ID NOs: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836. Also provided is a method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant by expressing within the plant an exogenous polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792. Also provided are polynucleotides and nucleic acid constructs for the generation of transgenic plants.
Description
FIELD AND BACKGROUND OF THE INVENTION

The present invention, in some embodiments thereof, relates to isolated polynucleotides expressing or modulating dsRNAs, transgenic plants comprising same and uses thereof in improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of plants.


Plant growth is reliant on a number of basic factors: light, air, water, nutrients, and physical support. All these factors, with the exception of light, are controlled by soil to some extent, which integrates non-living substances (minerals, organic matter, gases and liquids) and living organisms (bacteria, fungi, insects, worms, etc.). The soil's volume is almost equally divided between solids and water/gases. An adequate nutrition in the form of natural as well as synthetic fertilizers, may affect crop yield and quality, and its response to stress factors such as disease and adverse weather. The great importance of fertilizers can best be appreciated when considering the direct increase in crop yields over the last 40 years, and the fact that they account for most of the overhead expense in agriculture. Sixteen natural nutrients are essential for plant growth, three of which, carbon, hydrogen and oxygen, are retrieved from air and water. The soil provides the remaining 13 nutrients.


Nutrients are naturally recycled within a self-sufficient environment, such as a rainforest. However, when grown in a commercial situation, plants consume nutrients for their growth and these nutrients need to be replenished in the system. Several nutrients are consumed by plants in large quantities and are referred to as macronutrients. Three macronutrients are considered the basic building blocks of plant growth, and are provided as main fertilizers; Nitrogen (N), Phosphate (P) and Potassium (K). Yet, only nitrogen needs to be replenished every year since plants only absorb approximately half of the nitrogen fertilizer applied. A proper balance of nutrients is crucial; when too much of an essential nutrient is available, it may become toxic to plant growth. Utilization efficiencies of macronutrients directly correlate with yield and general plant tolerance, and increasing them will benefit the plants themselves and the environment by decreasing seepage to ground water.


Nitrogen is responsible for biosynthesis of amino and nucleic acids, prosthetic groups, plant hormones, plant chemical defenses, etc, and thus is utterly essential for the plant. For this reason, plants store nitrogen throughout their developmental stages, in the specific case of corn during the period of grain germination, mostly in the leaves and stalk. However, due to the low nitrogen use efficiency (NUE) of the main crops (e.g., in the range of only 30-70%), nitrogen supply needs to be replenished at least twice during the growing season. This requirement for fertilizer refill may become the rate-limiting element in plant growth and increase fertilizer expenses for the farmer. Limited land resources combined with rapid population growth will inevitably lead to added increase in fertilizer use. In light of this prediction, advanced, biotechnology-based solutions to allow stable high yields with an added potential to reduce fertilizer costs are highly desirable. Subsequently, developing plants with increased NUE will lower fertilizer input in crop cultivation, and allow growth on lower-quality soils.


The major agricultural crops (corn, rice, wheat, canola and soybean) account for over half of total human caloric intake, giving their yield and quality vast importance. They can be consumed either directly (eating their seeds which are also used as a source of sugars, oils and metabolites), or indirectly (eating meat products raised on processed seeds or forage). Various factors may influence a crop's yield, including but not limited to, quantity and size of the plant organs, plant architecture, vigor (e.g., seedling), growth rate, root development, utilization of water and nutrients (e.g., nitrogen), and stress tolerance. Plant yield may be amplified through multiple approaches; (1) enhancement of innate traits (e.g., dry matter accumulation rate, cellulose/lignin composition), (2) improvement of structural features (e.g., stalk strength, meristem size, plant branching pattern), and (3) amplification of seed yield and quality (e.g., fertilization efficiency, seed development, seed filling or content of oil, starch or protein). Increasing plant yield through any of the above methods would ultimately have many applications in agriculture and additional fields such as in the biotechnology industry.


Two main adverse environmental conditions, malnutrition (nutrient deficiency) and drought, elicit a response in the plant that mainly affects root architecture (Jiang and Huang (2001), Crop Sci 41:1168-1173; Lopez-Bucio et al. (2003), Curr Opin Plant Biol, 6:280-287; Morgan and Condon (1986), Aust J Plant Physiol 13:523-532), causing activation of plant metabolic pathways to maximize water assimilation. Improvement of root architecture, i.e. making branched and longer roots, allows the plant to reach water and nutrient/fertilizer deposits located deeper in the soil by an increase in soil coverage. Root morphogenesis has already shown to increase tolerance to low phosphorus availability in soybean (Miller et al., (2003), Funct Plant Biol 30:973-985) and maize (Zhu and Lynch (2004), Funct Plant Biol 31:949-958). Thus, genes governing enhancement of root architecture may be used to improve NUE and drought tolerance. An example for a gene associated with root developmental changes is ANR1, a putative transcription factor with a role in nitrate (NO3) signaling. When expression of ANR1 is down-regulated, the resulting transgenic lines are defective in their root response to localized supplies of nitrate (Zhang and Forde (1998), Science 270:407). Enhanced root system and/or increased storage capabilities, which are seen in responses to different environmental stresses, are strongly favorable at normal or optimal growing conditions as well.


Abiotic stress refers to a range of suboptimal conditions as water deficit or drought, extreme temperatures and salt levels, and high or low light levels. High or low nutrient level also falls into the category of abiotic stress. The response to any stress may involve both stress specific and common stress pathways (Pastori and Foyer (2002), Plant Physiol, 129: 460-468), and drains energy from the plant, eventually resulting in lowered yield. Thus, distinguishing between the genes activated in each pathway and subsequent manipulation of only specific relevant genes could lead to a partial stress response without the parallel loss in yield. Contrary to the complex polygenic nature of plant traits responsible for adaptations to adverse environmental stresses, information on miRNAs involved in these responses is very limited. The most common approach for crop and horticultural improvements is through cross breeding, which is relatively slow, inefficient, and limited in the degree of variability achieved because it can only manipulate the naturally existing genetic diversity. Taken together with the limited genetic resources (i.e., compatible plant species) for crop improvement, conventional breeding is evidently unfavorable. By creating a pool of genetically modified plants, one broadens the possibilities for producing crops with improved economic or horticultural traits.


SUMMARY OF THE INVENTION

According to an aspect of some embodiments of the present invention there is provided a method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant, the method comprising expressing within the plant an exogenous polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NOs: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836, wherein the nucleic acid sequence is capable of regulating nitrogen use efficiency of the plant, thereby improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of the plant.


According to an aspect of some embodiments of the present invention there is provided a transgenic plant exogenously expressing a polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NOs: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836, wherein the nucleic acid sequence is capable of regulating nitrogen use efficiency of the plant.


According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NO: 1-3, 8-57, 60, 65-113, 119-200, 2691-2792 (novel mirs predicted), wherein the nucleic acid sequence is capable of regulating nitrogen use efficiency of a plant.


According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention under the regulation of a cis-acting regulatory element.


According to an aspect of some embodiments of the present invention there is provided a method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant, the method comprising expressing within the plant an exogenous polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792, thereby improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant. According to an aspect of some embodiments of the present invention there is provided a transgenic plant exogenously expressing a polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792.


According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792.


According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention under the regulation of a cis-acting regulatory element.


According to some embodiments of the invention, the exogenous polynucleotide encodes a precursor of the nucleic acid sequence.


According to some embodiments of the invention, the precursor is at least 60% identical to SEQ ID NO: 256-259, 263, 264, 268-270, 272-309, 310-326, 1837-1841, 2269-2619, 2644-2658, 2691-2741 and 2793.


According to some embodiments of the invention, the exogenous polynucleotide encodes a miRNA or a precursor thereof.


According to some embodiments of the invention, the exogenous polynucleotide encodes a siRNA or a precursor thereof.


According to some embodiments of the invention, the exogenous polynucleotide is selected from the group consisting of SEQ ID NO: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836.


According to some embodiments of the invention, the polynucleotide encodes a precursor of the nucleic acid sequence.


According to some embodiments of the invention, the polynucleotide encodes a miRNA or a precursor thereof.


According to some embodiments of the invention, the polynucleotide encodes a siRNA or a precursor thereof.


According to some embodiments of the invention, the cis-acting regulatory element comprises a promoter.


According to some embodiments of the invention, the promoter comprises a tissue-specific promoter.


According to some embodiments of the invention, the tissue-specific promoter comprises a root specific promoter.


According to some embodiments of the invention, the polynucleotide encodes a miRNA-Resistant Target as set forth in SEQ ID NO: 616-815.


According to some embodiments of the invention, the isolated polynucleotide encodes a target mimic as set forth in SEQ ID NO: 822-1025.


According to some embodiments of the invention, the cis-acting regulatory element comprises a promoter.


According to some embodiments of the invention, the promoter comprises a tissue-specific promoter.


According to some embodiments of the invention, the tissue-specific promoter comprises a root specific promoter.


According to some embodiments of the invention, the method further comprising growing the plant under limiting nitrogen conditions.


According to some embodiments of the invention, the method further comprising growing the plant under abiotic stress.


According to some embodiments of the invention, the abiotic stress is selected from the group consisting of salinity, drought, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nutrient excess, atmospheric pollution and UV irradiation.


According to some embodiments of the invention, the plant being a monocotyledon.


According to some embodiments of the invention, the plant being a dicotyledon.


Implementation of the method and/or system of embodiments of the invention can involve performing or completing selected tasks manually, automatically, or a combination thereof. Moreover, according to actual instrumentation and equipment of embodiments of the method and/or system of the invention, several selected tasks could be implemented by hardware, by software or by firmware or by a combination thereof using an operating system.


For example, hardware for performing selected tasks according to embodiments of the invention could be implemented as a chip or a circuit. As software, selected tasks according to embodiments of the invention could be implemented as a plurality of software instructions being executed by a computer using any suitable operating system. In an exemplary embodiment of the invention, one or more tasks according to exemplary embodiments of method and/or system as described herein are performed by a data processor, such as a computing platform for executing a plurality of instructions. Optionally, the data processor includes a volatile memory for storing instructions and/or data and/or a non-volatile storage, for example, a magnetic hard-disk and/or removable media, for storing instructions and/or data. Optionally, a network connection is provided as well. A display and/or a user input device such as a keyboard or mouse are optionally provided as well.





BRIEF DESCRIPTION OF THE DRAWINGS

Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.


In the drawings:



FIG. 1 is a scheme of a binary vector that can be used according to some embodiments of the invention;



FIG. 2 is a schematic description of miRNA assay including two steps, stem-loop RT and real-time PCR. Stem-loop RT primers bind to at the 3′ portion of miRNA molecules and are reverse transcribed with reverse transcriptase. Then, the RT product is quantified using conventional TaqMan PCR that includes miRNA-specific forward primer and reverse primer. The purpose of tailed forward primer at 5′ is to increase its melting temperature (Tm) depending on the sequence composition of miRNA molecules (Slightly modified from Chen et al. 2005, Nucleic Acids Res 33(20):e179).





DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION

The present invention, in some embodiments thereof, relates to isolated polynucleotides expressing or modulating double stranded (ds) RNAs, transgenic plants comprising same and uses thereof in improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of plants.


Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not necessarily limited in its application to the details set forth in the following description or exemplified by the Examples. The invention is capable of other embodiments or of being practiced or carried out in various ways.


The doubling of agricultural food production worldwide over the past four decades has been associated with a 7-fold increase in the use of nitrogen (N) fertilizers. As a consequence, both the recent and future intensification of the use of nitrogen fertilizers in agriculture already has and will continue to have major detrimental impacts on the diversity and functioning of the non-agricultural neighbouring bacterial, animal, and plant ecosystems. The most typical examples of such an impact are the eutrophication of freshwater and marine ecosystems as a result of leaching when high rates of nitrogen fertilizers are applied to agricultural fields. In addition, there can be gaseous emission of nitrogen oxides reacting with the stratospheric ozone and the emission of toxic ammonia into the atmosphere. Furthermore, farmers are facing increasing economic pressures with the rising fossil fuels costs required for production of nitrogen fertilizers.


It is therefore of major importance to identify the critical steps controlling plant nitrogen use efficiency (NUE). Such studies can be harnessed towards generating new energy crop species that have a larger capacity to produce biomass with the minimal amount of nitrogen fertilizer.


While reducing the present invention to practice, the present inventors have uncovered dsRNA sequences that are differentially expressed in maize plants grown under nitrogen limiting conditions versus corn plants grown under conditions wherein nitrogen is a non-limiting factor. Following extensive experimentation and screening the present inventors have identified RNA interfering (RNAi) dsRNA molecules including siRNA and miRNA sequences that are upregulated or downregulated in roots and leaves, and suggest using same or sequences controlling same in the generation of transgenic plants having improved nitrogen use efficiency.


According to some embodiments, the newly uncovered dsRNA sequences relay their effect by affecting at least one of:


root architecture so as to increase nutrient uptake;


activation of plant metabolic pathways so as to maximize nitrogen absorption or localization; or alternatively or additionally


modulating plant surface permeability.


Each of the above mechanisms may affect water uptake as well as salt absorption and therefore embodiments of the invention further relate to enhancement of abiotic stress tolerance, biomass, vigor or yield of the plant.


Thus, according to an aspect of the invention there is provided a method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant, the method comprising expressing within the plant an exogenous polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NOs: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836, wherein the nucleic acid sequence is capable of regulating nitrogen use efficiency of the plant, thereby improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of the plant


As used herein the phrase “nitrogen use efficiency (NUE)” refers to a measure of crop production per unit of nitrogen fertilizer input. Fertilizer use efficiency (FUE) is a measure of NUE. Crop production can be measured by biomass, vigor or yield. The plant's nitrogen use efficiency is typically a result of an alteration in at least one of the uptake, spread, absorbance, accumulation, relocation (within the plant) and use of nitrogen absorbed by the plant. Improved NUE is with respect to that of a non-transgenic plant (i.e., lacking the transgene of the transgenic plant) of the same species and of the same developmental stage and grown under the same conditions.


As used herein the phrase “nitrogen-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of nitrogen (e.g., ammonium or nitrate) applied which is below the level needed for optimal plant metabolism, growth, reproduction and/or viability.


The phrase “abiotic stress” as used herein refers to any adverse effect on metabolism, growth, viability and/or reproduction of a plant. Abiotic stress can be induced by any of suboptimal environmental growth conditions such as, for example, water deficit or drought, flooding, freezing, low or high temperature, strong winds, heavy metal toxicity, anaerobiosis, high or low nutrient levels (e.g. nutrient deficiency), high or low salt levels (e.g. salinity), atmospheric pollution, high or low light intensities (e.g. insufficient light) or UV irradiation. Abiotic stress may be a short term effect (e.g. acute effect, e.g. lasting for about a week) or alternatively may be persistent (e.g. chronic effect, e.g. lasting for example 10 days or more). The present invention contemplates situations in which there is a single abiotic stress condition or alternatively situations in which two or more abiotic stresses occur.


According to an exemplary embodiment the abiotic stress refers to salinity.


According to another exemplary embodiment the abiotic stress refers to drought.


As used herein the phrase “abiotic stress tolerance” refers to the ability of a plant to endure an abiotic stress without exhibiting substantial physiological or physical damage (e.g. alteration in metabolism, growth, viability and/or reproductivity of the plant).


As used herein the term/phrase “biomass”, “biomass of a plant” or “plant biomass” refers to the amount (e.g., measured in grams of air-dry tissue) of a tissue produced from the plant in a growing season. An increase in plant biomass can be in the whole plant or in parts thereof such as aboveground (e.g. harvestable) parts, vegetative biomass, roots and/or seeds.


As used herein the term/phrase “vigor”, “vigor of a plant” or “plant vigor” refers to the amount (e.g., measured by weight) of tissue produced by the plant in a given time. Increased vigor could determine or affect the plant yield or the yield per growing time or growing area. In addition, early vigor (e.g. seed and/or seedling) results in improved field stand.


As used herein the term/phrase “yield”, “yield of a plant” or “plant yield” refers to the amount (e.g., as determined by weight or size) or quantity (e.g., numbers) of tissues or organs produced per plant or per growing season. Increased yield of a plant can affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time.


According to an exemplary embodiment the yield is measured by cellulose content.


According to another exemplary embodiment the yield is measured by oil content.


According to another exemplary embodiment the yield is measured by protein content.


According to another exemplary embodiment, the yield is measured by seed number per plant or part thereof (e.g., kernel).


A plant yield can be affected by various parameters including, but not limited to, plant biomass; plant vigor; plant growth rate; seed yield; seed or grain quantity; seed or grain quality; oil yield; content of oil, starch and/or protein in harvested organs (e.g., seeds or vegetative parts of the plant); number of flowers (e.g. florets) per panicle (e.g. expressed as a ratio of number of filled seeds over number of primary panicles); harvest index; number of plants grown per area; number and size of harvested organs per plant and per area; number of plants per growing area (e.g. density); number of harvested organs in field; total leaf area; carbon assimilation and carbon partitioning (e.g. the distribution/allocation of carbon within the plant); resistance to shade; number of harvestable organs (e.g. seeds), seeds per pod, weight per seed; and modified architecture [such as increase stalk diameter, thickness or improvement of physical properties (e.g. elasticity)].


As used herein the term “improving” or “increasing” refers to at least about 2%, at least about 3%, at least about 4%, at least about 5%, at least about 10%, at least about 15%, at least about 20%, at least about 25%, at least about 30%, at least about 35%, at least about 40%, at least about 45%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90% or greater increase in NUE, in tolerance to abiotic stress, in yield, in biomass or in vigor of a plant, as compared to a native or wild-type plants [i.e., plants not genetically modified to express the biomolecules (polynucleotides) of the invention, e.g., a non-transformed plant of the same species and of the same developmental stage which is grown under the same growth conditions as the transformed plant].


Improved plant NUE is translated in the field into either harvesting similar quantities of yield, while implementing less fertilizers, or increased yields gained by implementing the same levels of fertilizers. Thus, improved NUE or FUE has a direct effect on plant yield in the field.


The term “plant” as used herein encompasses whole plants, ancestors and progeny of the plants and plant parts, including seeds, shoots, stems, roots (including tubers), and isolated plant cells, tissues and organs. The plant may be in any form including suspension cultures, embryos, meristematic regions, callus tissue, leaves, gametophytes, sporophytes, pollen, and microspores.


As used herein the phrase “plant cell” refers to plant cells which are derived and isolated from disintegrated plant cell tissue or plant cell cultures.


As used herein the phrase “plant cell culture” refers to any type of native (naturally occurring) plant cells, plant cell lines and genetically modified plant cells, which are not assembled to form a complete plant, such that at least one biological structure of a plant is not present. Optionally, the plant cell culture of this aspect of the present invention may comprise a particular type of a plant cell or a plurality of different types of plant cells. It should be noted that optionally plant cultures featuring a particular type of plant cell may be originally derived from a plurality of different types of such plant cells.


Any commercially or scientifically valuable plant is envisaged in accordance with these embodiments of the invention. Plants that are particularly useful in the methods of the invention include all plants which belong to the super family Viridiplantae, in particular monocotyledonous and dicotyledonous plants including a fodder or forage legume, ornamental plant, food crop, tree, or shrub selected from the list comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp., Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp., Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaea plurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkea africana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camellia sinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens, Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermum mopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumis spp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeria japonica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergia monetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa, Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum, Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestis spp., Erythrina spp., Eucalyptus spp., Euclea schimperi, Eulalia vi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingia spp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycine javanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtia coleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus, Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffhelia dissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia, Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex, Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihot esculenta, Medicago saliva, Metasequoia glyptostroboides, Musa sapientum, Nicotianum spp., Onobrychis spp., Ornithopus spp., Oryza spp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petunia spp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photinia spp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus totara, Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopis cineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis, Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhus natalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosa spp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitys vefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghum bicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides, Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themeda triandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vaccinium spp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschia aethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brussels sprouts, cabbage, canola, carrot, cauliflower, celery, collard greens, flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean, straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize, wheat, barely, rye, oat, peanut, pea, lentil and alfalfa, cotton, rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, a tree, an ornamental plant, a perennial grass and a forage crop. Alternatively algae and other non-Viridiplantae can be used for the methods of the present invention.


According to some embodiments of the invention, the plant used by the method of the invention is a crop plant including, but not limited to, cotton, Brassica vegetables, oilseed rape, sesame, olive tree, palm oil, banana, wheat, corn or maize, barley, alfalfa, peanuts, sunflowers, rice, oats, sugarcane, soybean, turf grasses, barley, rye, sorghum, sugar cane, chicory, lettuce, tomato, zucchini, bell pepper, eggplant, cucumber, melon, watermelon, beans, hibiscus, okra, apple, rose, strawberry, chile, garlic, pea, lentil, canola, mums, arabidopsis, broccoli, cabbage, beet, quinoa, spinach, squash, onion, leek, tobacco, potato, sugarbeet, papaya, pineapple, mango, Arabidopsis thaliana, and also plants used in horticulture, floriculture or forestry, such as, but not limited to, poplar, fir, eucalyptus, pine, an ornamental plant, a perennial grass and a forage crop, coniferous plants, moss, algae, as well as other plants listed in World Wide Web (dot) nationmaster (dot) com/encyclopedia/Plantae.


According to a specific embodiment of the present invention, the plant comprises corn.


According to a specific embodiment of the present invention, the plant comprises sorghum.


As used herein, the phrase “exogenous polynucleotide” refers to a heterologous nucleic acid sequence which may not be naturally expressed within the plant or which overexpression in the plant is desired. The exogenous polynucleotide may be introduced into the plant in a stable or transient manner, so as to produce a ribonucleic acid (RNA) molecule. It should be noted that the exogenous polynucleotide may comprise a nucleic acid sequence which is identical or partially homologous to an endogenous nucleic acid sequence of the plant.


As mentioned the present teachings are based on the identification of RNA interfering molecular sequences (dsRNA, e.g., miRNAs and siRNAs) which modulate nitrogen use efficiency of plants.


According to some embodiments of the present aspect of the invention, the exogenous polynucleotide encodes an RNA interfering molecule.


Since its initial implementation, remarkable progress has been made in plant genetic engineering, and successful enhancements of commercially important crop plants have been reported (e.g., corn, cotton, soybean, canola, tomato). RNA interference (RNAi) is a remarkably potent technique and has steadily been established as the leading method for specific down-regulation/silencing of a target gene, through manipulation of one of two small RNA molecules, microRNAs (miRNAs) or small interfering RNAs (siRNAs). Both miRNAs and siRNAs are oligonucleotides (20-24 bps, i.e., the mature molecule) processed from longer RNA precursors by Dicer-like ribonucleases, although the source of their precursors is different (i.e., local single RNA molecules with imperfect stem-loop structures for miRNA, and long, double-stranded precursors potentially from bimolecular duplexes for siRNA). Additional characteristics that differentiate miRNAs from siRNAs are their sequence conservation level between related organisms (high in miRNAs, low to non-existent in siRNAs), regulation of genes unrelated to their locus of origin (typical for miRNAs, infrequent in siRNAs) and the genetic requirements for their respective functions are somewhat dissimilar in many organisms (Jones-Rhoades et al., 2006, Ann Rev Plant Biol 57:19-53). Despite all their differences, miRNAs and siRNAs are overall chemically and functionally similar and both are incorporated into silencing complexes, wherein they can guide post-transcriptional repression of multiple target genes, and thus function catalytically.


Thus, the exogenous polynucleotide encodes a dsRNA interfering molecule or a precursor thereof.


According to some embodiments the exogenous polynucleotide encodes a miRNA or a precursor thereof.


According to other embodiments the exogenous polynucleotide encodes a siRNA or a precursor thereof.


As used herein, the phrase “siRNA” (also referred to herein interchangeably as “small interfering RNA” or “silencing RNA”), is a class of double-stranded RNA molecules, 20-25 nucleotides in length. The most notable role of siRNA is its involvement in the RNA interference (RNAi) pathway, where it interferes with the expression of a specific gene.


The siRNA precursor relates to a long dsRNA structure (at least 90% complementarity) of at least 30 bp.


As used herein, the phrase “microRNA (also referred to herein interchangeably as “miRNA” or “miR”) or a precursor thereof” refers to a microRNA (miRNA) molecule acting as a post-transcriptional regulator. Typically, the miRNA molecules are RNA molecules of about 20 to 22 nucleotides in length which can be loaded into a RISC complex and which direct the cleavage of another RNA molecule, wherein the other RNA molecule comprises a nucleotide sequence essentially complementary to the nucleotide sequence of the miRNA molecule.


Typically, a miRNA molecule is processed from a “pre-miRNA” or as used herein a precursor of a pre-miRNA molecule by proteins, such as DCL proteins, present in any plant cell and loaded onto a RISC complex where it can guide the cleavage of the target RNA molecules.


Pre-microRNA molecules are typically processed from pri-microRNA molecules (primary transcripts). The single stranded RNA segments flanking the pre-microRNA are important for processing of the pri-miRNA into the pre-miRNA. The cleavage site appears to be determined by the distance from the stem-ssRNA junction (Han et al. 2006, Cell 125, 887-901, 887-901).


As used herein, a “pre-miRNA” molecule is an RNA molecule of about 100 to about 200 nucleotides, preferably about 100 to about 130 nucleotides which can adopt a secondary structure comprising a double stranded RNA stem and a single stranded RNA loop (also referred to as “hairpin”) and further comprising the nucleotide sequence of the miRNA (and its complement sequence) in the double stranded RNA stem. According to a specific embodiment, the miRNA and its complement are located about 10 to about 20 nucleotides from the free ends of the miRNA double stranded RNA stem. The length and sequence of the single stranded loop region are not critical and may vary considerably, e.g. between 30 and 50 nt (nucleotide) in length. The complementarity between the miRNA and its complement need not be perfect and about 1 to 3 bulges of unpaired nucleotides can be tolerated. The secondary structure adopted by an RNA molecule can be predicted by computer algorithms conventional in the art such as mFOLD. The particular strand of the double stranded RNA stem from the pre-miRNA which is released by DCL activity and loaded onto the RISC complex is determined by the degree of complementarity at the 5′ end, whereby the strand which at its 5′ end is the least involved in hydrogen bounding between the nucleotides of the different strands of the cleaved dsRNA stem is loaded onto the RISC complex and will determine the sequence specificity of the target RNA molecule degradation. However, if empirically the miRNA molecule from a particular synthetic pre-miRNA molecule is not functional (because the “wrong” strand is loaded on the RISC complex), it will be immediately evident that this problem can be solved by exchanging the position of the miRNA molecule and its complement on the respective strands of the dsRNA stem of the pre-miRNA molecule. As is known in the art, binding between A and U involving two hydrogen bounds, or G and U involving two hydrogen bounds is less strong that between G and C involving three hydrogen bounds. Exemplary hairpin sequences are provided in Tables 1 and 2 in the Examples section which follows.


Naturally occurring miRNA molecules may be comprised within their naturally occurring pre-miRNA molecules but they can also be introduced into existing pre-miRNA molecule scaffolds by exchanging the nucleotide sequence of the miRNA molecule normally processed from such existing pre-miRNA molecule for the nucleotide sequence of another miRNA of interest. The scaffold of the pre-miRNA can also be completely synthetic. Likewise, synthetic miRNA molecules may be comprised within, and processed from, existing pre-miRNA molecule scaffolds or synthetic pre-miRNA scaffolds. Some pre-miRNA scaffolds may be preferred over others for their efficiency to be correctly processed into the designed microRNAs, particularly when expressed as a chimeric gene wherein other DNA regions, such as untranslated leader sequences or transcription termination and polyadenylation regions are incorporated in the primary transcript in addition to the pre-microRNA.


According to the present teachings, the dsRNA molecules may be naturally occurring or synthetic.


Basically, siRNA and miRNA behave the same. Each can cleave perfectly complementary mRNA targets and decrease the expression of partially complementary targets.


Thus, the present teachings contemplate expressing an exogenous polynucleotide having a nucleic acid sequence at least 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98% 99% or 100% identical to SEQ ID NOs: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836, provided that they regulate nitrogen use efficiency.


Alternatively or additionally, the present teachings contemplate expressing an exogenous polynucleotide having a nucleic acid sequence at least 65%, 50%, 75%, 80%, 85%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98% 99% or 100% identical to SEQ ID NOs. 1-56, 62, 63, 110, 116, 117, 119-161, 200 (mature Tables 1, 3 and 7 representing the core maize genes), provided that they regulate nitrogen use efficiency.


Table 1 below illustrates exemplary miRNA sequences and precursors thereof which over expression are associated with modulation of nitrogen use efficiency. Likewise Table 3 provides similarly acting siRNA sequences.


The present invention envisages the use of homologous and orthologous sequences of the above RNA interfering molecules. At the precursor level use of homologous sequences can be done to a much broader extend. Thus, in such precursor sequences the degree of homology may be lower in all those sequences not including the mature miRNA or siRNA segment therein.


As used herein, the phrase “stem-loop precursor” refers to stem loop precursor RNA structure from which the miRNA can be processed. In the case of siRNA, the precursor is typically devoid of a stem-loop structure.


Thus, according to a specific embodiment, the exogenous polynucleotide encodes a stem-loop precursor of the nucleic acid sequence. Such a stem-loop precursor can be at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 95% or more identical to SEQ ID NOs: 2691-2741, 256-259, 2793, 272-309, 263, 264, 268, 269, 270, 310-326, 1837-1841, 2269-2619, 2644-2658 (homologs precursor Tables 1, 5 and 7), provided that it regulates nitrogen use efficiency.


Identity (e.g., percent identity) can be determined using any homology comparison software, including for example, the BlastN software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.


Homology (e.g., percent homology, identity+similarity) can be determined using any homology comparison software, including for example, the TBLASTN software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.


According to some embodiments of the invention, the term “homology” or “homologous” refers to identity of two or more nucleic acid sequences; or identity of two or more amino acid sequences.


Homologous sequences include both orthologous and paralogous sequences. The term “paralogous” relates to gene-duplications within the genome of a species leading to paralogous genes. The term “orthologous” relates to homologous genes in different organisms due to ancestral relationship. One option to identify orthologues in monocot plant species is by performing a reciprocal blast search. This may be done by a first blast involving blasting the sequence-of-interest against any sequence database, such as the publicly available NCBI database which may be found at: Hypertext Transfer Protocol://World Wide Web (dot) ncbi (dot) nlm (dot) nih (dot) gov. The blast results may be filtered. The full-length sequences of either the filtered results or the non-filtered results are then blasted back (second blast) against the sequences of the organism from which the sequence-of-interest is derived. The results of the first and second blasts are then compared. An orthologue is identified when the sequence resulting in the highest score (best hit) in the first blast identifies in the second blast the query sequence (the original sequence-of-interest) as the best hit. Using the same rational a paralogue (homolog to a gene in the same organism) is found. In case of large sequence families, the ClustalW program may be used [Hypertext Transfer Protocol://World Wide Web (dot) ebi (dot) ac (dot) uk/Tools/clustalw2/index (dot) html], followed by a neighbor-joining tree (Hypertext Transfer Protocol://en (dot) wikipedia (dot) org/wiki/Neighbor-joining) which helps visualizing the clustering.


The miRNA or precursor sequences can be provided to the plant as naked RNA or expressed from a nucleic acid expression construct, where it is operaly linked to a regulatory sequence.


Interestingly, while screening for RNAi regulatory sequences, the present inventors have identified a number of miRNA and siRNA sequences which have never been described before.


Thus, according to an aspect of the invention there is provided an isolated polynucleotide having a nucleic acid sequence at least 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98% 99% or 100% identical to SEQ ID NO: 1-3, 8-57, 60, 65-113, 119-200 (Tables 1-7 predicted) or to the precursor sequence thereof, wherein the nucleic acid sequence is capable of regulating nitrogen use efficiency of a plant.


According to a specific embodiment, the isolated polynucleotide encodes a stem-loop precursor of the nucleic acid sequence.


According to a specific embodiment, the stem-loop precursor is at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 95% or more identical to the precursor sequence set forth in SEQ ID NOs: 2691-2792, (Tables 1-7 predicted precursors), provided that it regulates nitrogen use efficiency.


As mentioned, the present inventors have also identified RNAi sequences which are down regulated under nitrogen limiting conditions.


Thus, according to an aspect of the invention there is provided a method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant, the method comprising expressing within the plant an exogenous polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence at least 90% homologous to the sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792, (Tables 2, 4, 6), thereby improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant.


There are various approaches to down regulate RNAi sequences.


As used herein the term “down-regulation” refers to reduced activity or expression of the miRNA (at least 10%, 20%, 30%, 50%, 60%, 70%, 80%, 90% or 100% reduction in activity or expression) as compared to its activity or expression in a plant of the same species and the same developmental stage not expressing the exogenous polynucleotide.


Nucleic acid agents that down-regulate miR activity include, but are not limited to, a target mimic, a micro-RNA resistant gene and a miRNA inhibitor.


The target mimic or micro-RNA resistant target is essentially complementary to the microRNA provided that one or more of following mismatches are allowed:


(a) a mismatch between the nucleotide at the 5′ end of the microRNA and the corresponding nucleotide sequence in the target mimic or micro-RNA resistant target;


(b) a mismatch between any one of the nucleotides in position 1 to position 9 of the microRNA and the corresponding nucleotide sequence in the target mimic or micro-RNA resistant target; or


(c) three mismatches between any one of the nucleotides in position 12 to position 21 of the microRNA and the corresponding nucleotide sequence in the target mimic or micro-RNA resistant target provided that there are no more than two consecutive mismatches.


The target mimic RNA is essentially similar to the target RNA modified to render it resistant to miRNA induced cleavage, e.g. by modifying the sequence thereof such that a variation is introduced in the nucleotide of the target sequence complementary to the nucleotides 10 or 11 of the miRNA resulting in a mismatch.


Alternatively, a microRNA-resistant target may be implemented. Thus, a silent mutation may be introduced in the microRNA binding site of the target gene so that the DNA and resulting RNA sequences are changed in a way that prevents microRNA binding, but the amino acid sequence of the protein is unchanged. Thus, a new sequence can be synthesized instead of the existing binding site, in which the DNA sequence is changed, resulting in lack of miRNA binding to its target.


Tables 13 and 14 below provide non-limiting examples of target mimics and target resistant sequences that can be used to down-regulate the activity of the miRs/siRNAs of the invention.


According to a specific embodiment, the target mimic or micro-RNA resistant target is linked to the promoter naturally associated with the pre-miRNA recognizing the target gene and introduced into the plant cell. In this way, the miRNA target mimic or micro-RNA resistant target RNA will be expressed under the same circumstances as the miRNA and the target mimic or micro-RNA resistant target RNA will substitute for the non-target mimic/micro-RNA resistant target RNA degraded by the miRNA induced cleavage.


Non-functional miRNA alleles or miRNA resistant target genes may also be introduced by homologous recombination to substitute the miRNA encoding alleles or miRNA sensitive target genes.


Recombinant expression is effected by cloning the nucleic acid of interest (e.g., miRNA, target gene, silencing agent etc) into a nucleic acid expression construct under the expression of a plant promoter.


In other embodiments of the invention, synthetic single stranded nucleic acids are used as miRNA inhibitors. A miRNA inhibitor is typically between about 17 to 25 nucleotides in length and comprises a 5′ to 3′ sequence that is at least 90% complementary to the 5′ to 3′ sequence of a mature miRNA. In certain embodiments, a miRNA inhibitor molecule is 17, 18, 19, 20, 21, 22, 23, 24, or 25 nucleotides in length, or any range derivable therein. Moreover, a miRNA inhibitor has a sequence (from 5′ to 3′) that is or is at least 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, 99.1%, 99.2%, 99.3%, 99.4%, 99.5%, 99.6%, 99.7%, 99.8%, 99.9% or 100% complementary, or any range derivable therein, to the 5′ to 3′ sequence of a mature miRNA, particularly a mature, naturally occurring miRNA.


The polynucleotide sequences of the invention can be provided to the plant as naked RNA or expressed from a nucleic acid expression construct, where it is operaly linked to a regulatory sequence.


According to a specific embodiment of the invention, there is provided a nucleic acid construct comprising a nucleic acid sequence encoding a miRNA or siRNA or a precursor thereof as described herein, the nucleic acid sequence being under a transcriptional control of a regulatory sequence such as a fiber-cell specific promoter.


Alternatively or additionally, there is provided a nucleic acid construct comprising a nucleic acid sequence encoding an inhibitor of the miRNA or siRNA sequences as described herein, the nucleic acid sequence being under a transcriptional control of a regulatory sequence such as a fiber-cell specific promoter.


An exemplary nucleic acid construct which can be used for plant transformation include, the pORE E2 binary vector (FIG. 1) in which the relevant polynucleotide sequence is ligated under the transcriptional control of a promoter.


A coding nucleic acid sequence is “operably linked” or “transcriptionally linked to a regulatory sequence (e.g., promoter)” if the regulatory sequence is capable of exerting a regulatory effect on the coding sequence linked thereto. Thus the regulatory sequence controls the transcription of the miRNA or precursor thereof.


The term “regulatory sequence”, as used herein, means any DNA, that is involved in driving transcription and controlling (i.e., regulating) the timing and level of transcription of a given DNA sequence, such as a DNA coding for a miRNA or siRNA, precursor or inhibitor of same. For example, a 5′ regulatory region (or “promoter region”) is a DNA sequence located upstream (i.e., 5′) of a coding sequence and which comprises the promoter and the 5′-untranslated leader sequence. A 3′ regulatory region is a DNA sequence located downstream (i.e., 3′) of the coding sequence and which comprises suitable transcription termination (and/or regulation) signals, including one or more polyadenylation signals.


For the purpose of the invention, the promoter is a plant-expressible promoter. As used herein, the term “plant-expressible promoter” means a DNA sequence which is capable of controlling (initiating) transcription in a plant cell. This includes any promoter of plant origin, but also any promoter of non-plant origin which is capable of directing transcription in a plant cell, i.e., certain promoters of viral or bacterial origin. Thus, any suitable promoter sequence can be used by the nucleic acid construct of the present invention. According to some embodiments of the invention, the promoter is a constitutive promoter, a tissue-specific promoter or an inducible promoter (e.g. an abiotic stress-inducible promoter).


Suitable constitutive promoters include, for example, hydroperoxide lyase (HPL) promoter, CaMV 35S promoter (Odell et al, Nature 313:810-812, 1985); Arabidopsis At6669 promoter (see PCT Publication No. WO04081173A2); maize Ubi 1 (Christensen et al., Plant Sol. Biol. 18:675-689, 1992); rice actin (McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al, Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al, Physiol. Plant 100:456-462, 1997); GOS2 (de Pater et al, Plant J November; 2(6):837-44, 1992); ubiquitin (Christensen et al, Plant MoI. Biol. 18: 675-689, 1992); Rice cyclophilin (Bucholz et al, Plant MoI Biol. 25(5):837-43, 1994); Maize H3 histone (Lepetit et al, MoI. Gen. Genet. 231: 276-285, 1992); Actin 2 (An et al, Plant J. 10(1); 107-121, 1996) and Synthetic Super MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Other constitutive promoters include those in U.S. Pat. Nos. 5,659,026, 5,608,149; 5,608,144; 5,604,121; 5,569,597: 5,466,785; 5,399,680; 5,268,463; and 5,608,142.


Suitable tissue-specific promoters include, but not limited to, leaf-specific promoters [such as described, for example, by Yamamoto et al., Plant J. 12:255-265, 1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al., Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18, 1993; Orozco et al., Plant MoI. Biol. 23:1129-1138, 1993; and Matsuoka et al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993], seed-preferred promoters [e.g., from seed specific genes (Simon, et al., Plant MoI. Biol. 5. 191, 1985; Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al., Plant MoI. Biol. 14: 633, 1990), Brazil Nut albumin (Pearson′ et al., Plant MoI. Biol. 18: 235-245, 1992), legumin (Ellis, et al. Plant MoI. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al., MoI. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221: 43-47, 1987), Zein (Matzke et al., Plant MoI Biol, 143) 323-32 1990), napA (Stalberg, et al., Planta 199: 515-519, 1996), Wheat SPA (Albanietal, Plant Cell, 9: 171-184, 1997), sunflower oleosin (Cummins, et al, Plant MoI. Biol. 19: 873-876, 1992)], endosperm specific promoters [e.g., wheat LMW and HMW, glutenin-1 (MoI Gen Genet 216:81-90, 1989; NAR 17:461-2), wheat a, b and g gliadins (EMBO3: 1409-15, 1984), Barley ltrl promoter, barley Bl, C, D hordein (Theor Appl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; MoI Gen Genet 250:750-60, 1996), Barley DOF (Mena et al., The Plant Journal, 116(1): 53-62, 1998), Biz2 (EP99106056.7), Synthetic promoter (Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolamin NRP33, rice-globulin GIb-I (Wu et al., Plant Cell Physiology 39(8) 885-889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant MoI. Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68, 1997), maize ESR gene family (Plant J 12:235-46, 1997), sorghum gamma-kafirin (PMB 32:1029-35, 1996); e.g., the Napin promoter], embryo specific promoters [e.g., rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX (Postma-Haarsma et al, Plant MoI. Biol. 39:257-71, 1999), rice oleosin (Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters [e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant MoI. Biol. 15, 95-109, 1990), LAT52 (Twell et al., MoI. Gen Genet. 217:240-245; 1989), apetala-3]. Also contemplated are root-specific promoters such as the ROOTP promoter described in Vissenberg K, et al. Plant Cell Physiol. 2005 January; 46(1):192-200.


The nucleic acid construct of some embodiments of the invention can further include an appropriate selectable marker and/or an origin of replication.


The nucleic acid construct of some embodiments of the invention can be utilized to stably or transiently transform plant cells. In stable transformation, the exogenous polynucleotide is integrated into the plant genome and as such it represents a stable and inherited trait. In transient transformation, the exogenous polynucleotide is expressed by the cell transformed but it is not integrated into the genome and as such it represents a transient trait.


When naked RNA or DNA is introduced into a cell, the polynucleotides may be synthesized using any method known in the art, including either enzymatic syntheses or solid-phase syntheses. These are especially useful in the case of short polynucleotide sequences with or without modifications as explained above. Equipment and reagents for executing solid-phase synthesis are commercially available from, for example, Applied Biosystems. Any other means for such synthesis may also be employed; the actual synthesis of the oligonucleotides is well within the capabilities of one skilled in the art and can be accomplished via established methodologies as detailed in, for example: Sambrook, J. and Russell, D. W. (2001), “Molecular Cloning: A Laboratory Manual”; Ausubel, R. M. et al., eds. (1994, 1989), “Current Protocols in Molecular Biology,” Volumes I-III, John Wiley & Sons, Baltimore, Md.; Perbal, B. (1988), “A Practical Guide to Molecular Cloning,” John Wiley & Sons, New York; and Gait, M. J., ed. (1984), “Oligonucleotide Synthesis”; utilizing solid-phase chemistry, e.g. cyanoethyl phosphoramidite followed by deprotection, desalting, and purification by, for example, an automated trityl-on method or HPLC.


There are various methods of introducing foreign genes into both monocotyledonous and dicotyledonous plants (Potrykus, L, Annu. Rev. Plant. Physiol, Plant. MoI. Biol. (1991) 42:205-225; Shimamoto et al., Nature (1989) 338:274-276).


The principle methods of causing stable integration of exogenous DNA into plant genomic DNA include two main approaches:


(i) Agrobacterium-mediated gene transfer (e.g., T-DNA using Agrobacterium tumefaciens or Agrobacterium rhizogenes); see for example, Klee et al. (1987) Annu. Rev. Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes, eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds. Kung, S, and Arntzen, C. J., Butterworth Publishers, Boston, Mass. (1989) p. 93-112.


(ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 52-68; including methods for direct uptake of DNA into protoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNA uptake induced by brief electric shock of plant cells: Zhang et al. Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986) 319:791-793. DNA injection into plant cells or tissues by particle bombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al. Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990) 79:206-209; by the use of micropipette systems: Neuhaus et al., Theor. Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant. (1990) 79:213-217; glass fibers or silicon carbide whisker transformation of cell cultures, embryos or callus tissue, U.S. Pat. No. 5,464,765 or by the direct incubation of DNA with germinating pollen, DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman, G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p. 197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.


The Agrobacterium system includes the use of plasmid vectors that contain defined DNA segments that integrate into the plant genomic DNA. Methods of inoculation of the plant tissue vary depending upon the plant species and the Agrobacterium delivery system. A widely used approach is the leaf disc procedure which can be performed with any tissue explant that provides a good source for initiation of whole plant differentiation. See, e.g., Horsch et al. in Plant Molecular Biology Manual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. A supplementary approach employs the Agrobacterium delivery system in combination with vacuum infiltration. The Agrobacterium system is especially viable in the creation of transgenic dicotyledonous plants.


According to a specific embodiment of the present invention, the exogenous polynucleotide is introduced into the plant by infecting the plant with a bacteria, such as using a floral dip transformation method (as described in further detail in Example 6, of the Examples section which follows).


There are various methods of direct DNA transfer into plant cells. In electroporation, the protoplasts are briefly exposed to a strong electric field. In microinjection, the DNA is mechanically injected directly into the cells using very small micropipettes. In microparticle bombardment, the DNA is adsorbed on microprojectiles such as magnesium sulfate crystals or tungsten particles, and the microprojectiles are physically accelerated into cells or plant tissues.


Following stable transformation plant propagation is exercised. The most common method of plant propagation is by seed. Regeneration by seed propagation, however, has the deficiency that due to heterozygosity there is a lack of uniformity in the crop, since seeds are produced by plants according to the genetic variances governed by Mendelian rules. Basically, each seed is genetically different and each will grow with its own specific traits. Therefore, it is preferred that the transformed plant be produced such that the regenerated plant has the identical traits and characteristics of the parent transgenic plant. For this reason it is preferred that the transformed plant be regenerated by micropropagation which provides a rapid, consistent reproduction of the transformed plants.


Micropropagation is a process of growing new generation plants from a single piece of tissue that has been excised from a selected parent plant or cultivar. The new generation plants which are produced are genetically identical to, and have all of the characteristics of, the original plant. Micropropagation allows mass production of quality plant material in a short period of time and offers a rapid multiplication of selected cultivars in the preservation of the characteristics of the original transgenic or transformed plant. The advantages of cloning plants are the speed of plant multiplication and the quality and uniformity of plants produced.


Micropropagation is a multi-stage procedure that requires alteration of culture medium or growth conditions between stages. Thus, the micropropagation process involves four basic stages: Stage one, initial tissue culturing; stage two, tissue culture multiplication; stage three, differentiation and plant formation; and stage four, greenhouse culturing and hardening. During stage one, initial tissue culturing, the tissue culture is established and certified contaminant-free. During stage two, the initial tissue culture is multiplied until a sufficient number of tissue samples are produced to meet production goals. During stage three, the tissue samples grown in stage two are divided and grown into individual plantlets. At stage four, the transformed plantlets are transferred to a greenhouse for hardening where the plants' tolerance to light is gradually increased so that it can be grown in the natural environment.


Although stable transformation is presently preferred, transient transformation of leaf cells, meristematic cells or the whole plant is also envisaged by the present invention.


Transient transformation can be effected by any of the direct DNA transfer methods described above or by viral infection using modified plant viruses. Viruses that have been shown to be useful for the transformation of plant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus (BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation of plants using plant viruses is described in U.S. Pat. No. 4,855,237 (bean golden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese Published Application No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); and Gluzman, Y. et al., Communications in Molecular Biology: Viral Vectors, Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirus particles for use in expressing foreign DNA in many hosts, including plants are described in WO 87/06261. According to some embodiments of the invention, the virus used for transient transformations is avirulent and thus is incapable of causing severe symptoms such as reduced growth rate, mosaic, ring spots, leaf roll, yellowing, streaking, pox formation, tumor formation and pitting. A suitable avirulent virus may be a naturally occurring avirulent virus or an artificially attenuated virus. Virus attenuation may be effected by using methods well known in the art including, but not limited to, sub-lethal heating, chemical treatment or by directed mutagenesis techniques such as described, for example, by Kurihara and Watanabe (Molecular Plant Pathology 4:259-269, 2003), Galon et al. (1992), Atreya et al. (1992) and Huet et al. (1994).


Suitable virus strains can be obtained from available sources such as, for example, the American Type culture Collection (ATCC) or by isolation from infected plants. Isolation of viruses from infected plant tissues can be effected by techniques well known in the art such as described, for example by Foster and Tatlor, Eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), VoI 81)”, Humana Press, 1998. Briefly, tissues of an infected plant believed to contain a high concentration of a suitable virus, preferably young leaves and flower petals, are ground in a buffer solution (e.g., phosphate buffer solution) to produce a virus infected sap which can be used in subsequent inoculations.


Construction of plant RNA viruses for the introduction and expression of non-viral exogenous polynucleotide sequences in plants is demonstrated by the above references as well as by Dawson, W. O. et al, Virology (1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French et al. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990) 269:73-76; and U.S. Pat. No. 5,316,931.


When the virus is a DNA virus, suitable modifications can be made to the virus itself. Alternatively, the virus can first be cloned into a bacterial plasmid for ease of constructing the desired viral vector with the foreign DNA. The virus can then be excised from the plasmid. If the virus is a DNA virus, a bacterial origin of replication can be attached to the viral DNA, which is then replicated by the bacteria. Transcription and translation of this DNA will produce the coat proteins which will encapsidate the viral DNA. If the virus is an RNA virus, the virus is generally cloned as a cDNA and inserted into a plasmid. The plasmid is then used to make all of the constructions. The RNA virus is then produced by transcribing the viral sequence of the plasmid and translation of the viral genes to produce the coat protein(s) which encapsidate the viral RNA.


In one embodiment, a plant viral nucleic acid is provided in which the native coat protein coding sequence has been deleted from a viral nucleic acid, a non-native plant viral coat protein coding sequence and a non-native promoter, preferably the subgenomic promoter of the non-native coat protein coding sequence, capable of expression in the plant host, packaging of the recombinant plant viral nucleic acid, and ensuring a systemic infection of the host by the recombinant plant viral nucleic acid, has been inserted. Alternatively, the coat protein gene may be inactivated by insertion of the non-native nucleic acid sequence within it, such that a protein is produced. The recombinant plant viral nucleic acid may contain one or more additional non-native subgenomic promoters. Each non-native subgenomic promoter is capable of transcribing or expressing adjacent genes or nucleic acid sequences in the plant host and incapable of recombination with each other and with native subgenomic promoters. Non-native (foreign) nucleic acid sequences may be inserted adjacent the native plant viral subgenomic promoter or the native and a non-native plant viral subgenomic promoters if more than one nucleic acid sequence is included. The non-native nucleic acid sequences are transcribed or expressed in the host plant under control of the subgenomic promoter to produce the desired products.


In a second embodiment, a recombinant plant viral nucleic acid is provided as in the first embodiment except that the native coat protein coding sequence is placed adjacent one of the non-native coat protein subgenomic promoters instead of a non-native coat protein coding sequence.


In a third embodiment, a recombinant plant viral nucleic acid is provided in which the native coat protein gene is adjacent its subgenomic promoter and one or more non-native subgenomic promoters have been inserted into the viral nucleic acid. The inserted non-native subgenomic promoters are capable of transcribing or expressing adjacent genes in a plant host and are incapable of recombination with each other and with native subgenomic promoters. Non-native nucleic acid sequences may be inserted adjacent the non-native subgenomic plant viral promoters such that the sequences are transcribed or expressed in the host plant under control of the subgenomic promoters to produce the desired product.


In a fourth embodiment, a recombinant plant viral nucleic acid is provided as in the third embodiment except that the native coat protein coding sequence is replaced by a non-native coat protein coding sequence.


The viral vectors are encapsidated by the coat proteins encoded by the recombinant plant viral nucleic acid to produce a recombinant plant virus. The recombinant plant viral nucleic acid or recombinant plant virus is used to infect appropriate host plants. The recombinant plant viral nucleic acid is capable of replication in the host, systemic spread in the host, and transcription or expression of foreign gene(s) (isolated nucleic acid) in the host to produce the desired sequence.


In addition to the above, the nucleic acid molecule of the present invention can also be introduced into a chloroplast genome thereby enabling chloroplast expression.


A technique for introducing exogenous nucleic acid sequences to the genome of the chloroplasts is known. This technique involves the following procedures. First, plant cells are chemically treated so as to reduce the number of chloroplasts per cell to about one. Then, the exogenous nucleic acid is introduced via particle bombardment into the cells with the aim of introducing at least one exogenous nucleic acid molecule into the chloroplasts. The exogenous nucleic acid is selected such that it is integratable into the chloroplast's genome via homologous recombination which is readily effected by enzymes inherent to the chloroplast. To this end, the exogenous nucleic acid includes, in addition to a gene of interest, at least one nucleic acid stretch which is derived from the chloroplast's genome. In addition, the exogenous nucleic acid includes a selectable marker, which serves by sequential selection procedures to ascertain that all or substantially all of the copies of the chloroplast genomes following such selection will include the exogenous nucleic acid. Further details relating to this technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507 which are incorporated herein by reference.


Regardless of the method of transformation, propagation or regeneration, the present invention also contemplates a transgenic plant exogenously expressing the polynucleotide of the invention.


According to a specific embodiment, the transgenic plant exogenously expresses a polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NOs: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836 (Tables 1, 3, 5), wherein the nucleic acid sequence is capable of regulating nitrogen use efficiency of the plant.


According to further embodiments, the exogenous polynucleotide encodes a precursor of the nucleic acid sequence.


According to yet further embodiments, the stem-loop precursor is at least 60% identical to SEQ ID NO: 256-259, 263, 264, 268-270, 272-309, 310-326, 1837-1841, 2269-2619, 2644-2658, 2691-2741 and 2793 (precursor sequences of Tables 1, 3 and 5). More specifically the exogenous polynucleotide is selected from the group consisting of SEQ ID NO: 1-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836, 256-259, 263, 264, 268-270, 272-309, 310-326, 1837-1841, 2269-2619, 2644-2658, 2691-2741 and 2793.


Alternatively, there is provided a transgenic plant exogenously expressing a polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792 (Tables 2, 4, 6).


More specifically, the transgenic plant expresses the nucleic acid agent of Tables 13 and 14, e.g., the polynucleotides selected from the group consisting of SEQ ID NOs: 616-815 and 822-1025.


Also contemplated are hybrids of the above described transgenic plants. A “hybrid plant” refers to a plant or a part thereof resulting from a cross between two parent plants, wherein one parent is a genetically engineered plant of the invention (transgenic plant expressing an exogenous RNAi sequence or a precursor thereof). Such a cross can occur naturally by, for example, sexual reproduction, or artificially by, for example, in vitro nuclear fusion. Methods of plant breeding are well-known and within the level of one of ordinary skill in the art of plant biology.


Since nitrogen use efficiency, abiotic stress tolerance as well as yield, vigor or biomass of the plant can involve multiple genes acting additively or in synergy (see, for example, in Quesda et al., Plant Physiol. 130:951-063, 2002), the invention also envisages expressing a plurality of exogenous polynucleotides in a single host plant to thereby achieve superior effect on the efficiency of nitrogen use, yield, vigor and biomass of the plant.


Expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing multiple nucleic acid constructs, each including a different exogenous polynucleotide, into a single plant cell. The transformed cell can then be regenerated into a mature plant using the methods described hereinabove. Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing into a single plant-cell a single nucleic-acid construct including a plurality of different exogenous polynucleotides. Such a construct can be designed with a single promoter sequence which can transcribe a polycistronic messenger RNA including all the different exogenous polynucleotide sequences. Alternatively, the construct can include several promoter sequences each linked to a different exogenous polynucleotide sequence.


The plant cell transformed with the construct including a plurality of different exogenous polynucleotides can be regenerated into a mature plant, using the methods described hereinabove.


Alternatively, expressing a plurality of exogenous polynucleotides can be effected by introducing different nucleic acid constructs, including different exogenous polynucleotides, into a plurality of plants. The regenerated transformed plants can then be cross-bred and resultant progeny selected for superior yield or fiber traits as described above, using conventional plant breeding techniques.


Expression of the miRNAs/siRNAs of the present invention or precursors thereof can be qualified using methods which are well known in the art such as those involving gene amplification e.g., PCR or RT-PCR or Northern blot or in-situ hybridization.


According to some embodiments of the invention, the plant expressing the exogenous polynucleotide(s) is grown under stress (nitrogen or abiotic) or normal conditions (e.g., biotic conditions and/or conditions with sufficient water, nutrients such as nitrogen and fertilizer). Such conditions, which depend on the plant being grown, are known to those skilled in the art of agriculture, and are further, described above.


According to some embodiments of the invention, the method further comprises growing the plant expressing the exogenous polynucleotide(s) under abiotic stress or nitrogen limiting conditions. Non-limiting examples of abiotic stress conditions include, water deprivation, drought, excess of water (e.g., flood, waterlogging), freezing, low temperature, high temperature, strong winds, heavy metal toxicity, anaerobiosis, nutrient deficiency, nutrient excess, salinity, atmospheric pollution, intense light, insufficient light, or UV irradiation, etiolation and atmospheric pollution.


Thus, the invention encompasses plants exogenously expressing the polynucleotide(s), the nucleic acid constructs of the invention.


Methods of determining the level in the plant of the RNA transcribed from the exogenous polynucleotide are well known in the art and include, for example, Northern blot analysis, reverse transcription polymerase chain reaction (RT-PCR) analysis (including quantitative, semi-quantitative or real-time RT-PCR) and RNA-m situ hybridization.


The sequence information and annotations uncovered by the present teachings can be harnessed in favor of classical breeding. Thus, sub-sequence data of those polynucleotides described above, can be used as markers for marker assisted selection (MAS), in which a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (e.g., tolerance to abiotic stress). Nucleic acid data of the present teachings (DNA or RNA sequence) may contain or be linked to polymorphic sites or genetic markers on the genome such as restriction fragment length polymorphism (RFLP), microsatellites and single nucleotide polymorphism (SNP), DNA fingerprinting (DFP), amplified fragment length polymorphism (AFLP), expression level polymorphism, and any other polymorphism at the DNA or RNA sequence.


Examples of marker assisted selections include, but are not limited to, selection for a morphological trait (e.g., a gene that affects form, coloration, male sterility or resistance such as the presence or absence of awn, leaf sheath coloration, height, grain color, aroma of rice); selection for a biochemical trait (e.g., a gene that encodes a protein that can be extracted and observed; for example, isozymes and storage proteins); selection for a biological trait (e.g., pathogen races or insect biotypes based on host pathogen or host parasite interaction can be used as a marker since the genetic constitution of an organism can affect its susceptibility to pathogens or parasites).


The polynucleotides described hereinabove can be used in a wide range of economical plants, in a safe and cost effective manner.


Plant lines exogenously expressing the polynucleotide of the invention can be screened to identify those that show the greatest increase of the desired plant trait.


Thus, according to an additional embodiment of the present invention, there is provided a method of evaluating a trait of a plant, the method comprising: (a) expressing in a plant or a portion thereof the nucleic acid construct; and (b) evaluating a trait of a plant as compared to a wild type plant of the same type; thereby evaluating the trait of the plant.


Thus, the effect of the transgene (the exogenous polynucleotide) on different plant characteristics may be determined any method known to one of ordinary skill in the art.


Thus, for example, tolerance to limiting nitrogen conditions may be compared in transformed plants {i.e., expressing the transgene) compared to non-transformed (wild type) plants exposed to the same stress conditions (other stress conditions are contemplated as well, e.g. water deprivation, salt stress e.g. salinity, suboptimal temperature, osmotic stress, and the like), using the following assays.


Methods of qualifying plants as being tolerant or having improved tolerance to abiotic stress or limiting nitrogen levels are well known in the art and are further described hereinbelow.


Fertilizer use efficiency—To analyze whether the transgenic plants are more responsive to fertilizers, plants are grown in agar plates or pots with a limited amount of fertilizer, as described, for example, in Yanagisawa et al (Proc Natl Acad Sci USA. 2004; 101:7833-8). The plants are analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain. The parameters checked are the overall size of the mature plant, its wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf verdure is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots, oil content, etc. Similarly, instead of providing nitrogen at limiting amounts, phosphate or potassium can be added at increasing concentrations. Again, the same parameters measured are the same as listed above. In this way, nitrogen use efficiency (NUE), phosphate use efficiency (PUE) and potassium use efficiency (KUE) are assessed, checking the ability of the transgenic plants to thrive under nutrient restraining conditions.


Nitrogen use efficiency—To analyze whether the transgenic plants (e.g., Arabidopsis plants) are more responsive to nitrogen, plant are grown in 0.75-3 millimolar (mM, nitrogen deficient conditions) or 6-10 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 25 days or until seed production. The plants are then analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain/seed production. The parameters checked can be the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, are identified as nitrogen use efficient plants.


Nitrogen Use efficiency assay using plantlets—The assay is done according to Yanagisawa-S. et al. with minor modifications (“Metabolic engineering with Dof1 transcription factor in plants: Improved nitrogen assimilation and growth under low-nitrogen conditions” Proc. Natl. Acad. Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for 7-10 days in 0.5×MS [Murashige-Skoog] supplemented with a selection agent are transferred to two nitrogen-limiting conditions: MS media in which the combined nitrogen concentration (NH4NO3 and KNO3) was 0.75 mM (nitrogen deficient conditions) or 6-15 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 30-40 days and then photographed, individually removed from the Agar (the shoot without the roots) and immediately weighed (fresh weight) for later statistical analysis. Constructs for which only T1 seeds are available are sown on selective media and at least 20 seedlings (each one representing an independent transformation event) are carefully transferred to the nitrogen-limiting media. For constructs for which T2 seeds are available, different transformation events are analyzed. Usually, 20 randomly selected plants from each event are transferred to the nitrogen-limiting media allowed to grow for 3-4 additional weeks and individually weighed at the end of that period. Transgenic plants are compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS) under the same promoter or transgenic plants carrying the same promoter but lacking a reporter gene are used as control.


Nitrogen determination—The procedure for N (nitrogen) concentration determination in the structural parts of the plants involves the potassium persulfate digestion method to convert organic N to NO3 (Purcell and King 1996 Argon. J. 88:111-113, the modified Cd mediated reduction of NO3to NO2 (Vodovotz 1996 Biotechniques 20:390-394) and the measurement of nitrite by the Griess assay (Vodovotz 1996, supra). The absorbance values are measured at 550 nm against a standard curve of NaNO2. The procedure is described in details in Samonte et al. 2006 Agron. J. 98:168-176.


Tolerance to abiotic stress (e.g. tolerance to drought or salinity) can be evaluated by determining the differences in physiological and/or physical condition, including but not limited to, vigor, growth, size, or root length, or specifically, leaf color or leaf area size of the transgenic plant compared to a non-modified plant of the same species grown under the same conditions. Other techniques for evaluating tolerance to abiotic stress include, but are not limited to, measuring chlorophyll fluorescence, photosynthetic rates and gas exchange rates. Further assays for evaluating tolerance to abiotic stress are provided hereinbelow and in the Examples section which follows.


Drought tolerance assay—Soil-based drought screens are performed with plants overexpressing the polynucleotides detailed above. Seeds from control Arabidopsis plants, or other transgenic plants overexpressing nucleic acid of the invention are germinated and transferred to pots. Drought stress is obtained after irrigation is ceased. Transgenic and control plants are compared to each other when the majority of the control plants develop severe wilting. Plants are re-watered after obtaining a significant fraction of the control plants displaying a severe wilting. Plants are ranked comparing to controls for each of two criteria: tolerance to the drought conditions and recovery (survival) following re-watering.


Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as drought stress tolerant plants


Salinity tolerance assay—Transgenic plants with tolerance to high salt concentrations are expected to exhibit better germination, seedling vigor or growth in high salt. Salt stress can be effected in many ways such as, for example, by irrigating the plants with a hyperosmotic solution, by cultivating the plants hydroponically in a hyperosmotic growth solution (e.g., Hoagland solution with added salt), or by culturing the plants in a hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MS medium) with added salt]. Since different plants vary considerably in their tolerance to salinity, the salt concentration in the irrigation water, growth solution, or growth medium can be adjusted according to the specific characteristics of the specific plant cultivar or variety, so as to inflict a mild or moderate effect on the physiology and/or morphology of the plants (for guidelines as to appropriate concentration see, Bernstein and Kafkafi, Root Growth Under Salinity Stress In: Plant Roots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U. (editors) Marcel Dekker Inc., New York, 2002, and reference therein).


For example, a salinity tolerance test can be performed by irrigating plants at different developmental stages with increasing concentrations of sodium chloride (for example 50 mM, 150 mM, 300 mM NaCl) applied from the bottom and from above to ensure even dispersal of salt. Following exposure to the stress condition the plants are frequently monitored until substantial physiological and/or morphological effects appear in wild type plants. Thus, the external phenotypic appearance, degree of chlorosis and overall success to reach maturity and yield progeny are compared between control and transgenic plants. Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as abiotic stress tolerant plants.


Osmotic tolerance test—Osmotic stress assays (including sodium chloride and PEG assays) are conducted to determine if an osmotic stress phenotype was sodium chloride-specific or if it was a general osmotic stress related phenotype. Plants which are tolerant to osmotic stress may have more tolerance to drought and/or freezing. For salt and osmotic stress experiments, the medium is supplemented for example with 50 mM, 100 mM, 200 mM NaCl or 15%, 20% or 25% PEG.


Cold stress tolerance—One way to analyze cold stress is as follows. Mature (25 day old) plants are transferred to 4° C. chambers for 1 or 2 weeks, with constitutive light. Later on plants are moved back to greenhouse. Two weeks later damages from chilling period, resulting in growth retardation and other phenotypes, are compared between control and transgenic plants, by measuring plant weight (wet and dry), and by comparing growth rates measured as time to flowering, plant size, yield, and the like.


Heat stress tolerance—One way to measure heat stress tolerance is by exposing the plants to temperatures above 34° C. for a certain period. Plant tolerance is examined after transferring the plants back to 22° C. for recovery and evaluation after 5 days relative to internal controls (non-transgenic plants) or plants not exposed to neither cold or heat stress.


The biomass, vigor and yield of the plant can also be evaluated using any method known to one of ordinary skill in the art. Thus, for example, plant vigor can be calculated by the increase in growth parameters such as leaf area, fiber length, rosette diameter, plant fresh weight and the like per time.


As mentioned, the increase of plant yield can be determined by various parameters. For example, increased yield of rice may be manifested by an increase in one or more of the following: number of plants per growing area, number of panicles per plant, number of spikelets per panicle, number of flowers per panicle, increase in the seed filling rate, increase in thousand kernel weight (1000-weight), increase oil content per seed, increase starch content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture. Similarly, increased yield of soybean may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, increase protein content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.


Thus, the present invention is of high agricultural value for increasing tolerance of plants to nitrogen deficiency or abiotic stress as well as promoting the yield, biomass and vigor of commercially desired crops.


According to another embodiment of the present invention, there is provided a food or feed comprising the plants or a portion thereof of the present invention.


In a further aspect the invention, the transgenic plants of the present invention or parts thereof are comprised in a food or feed product (e.g., dry, liquid, paste). A food or feed product is any ingestible preparation containing the transgenic plants, or parts thereof, of the present invention, or preparations made from these plants. Thus, the plants or preparations are suitable for human (or animal) consumption, i.e. the transgenic plants or parts thereof are more readily digested. Feed products of the present invention further include a oil or a beverage adapted for animal consumption.


It will be appreciated that the transgenic plants, or parts thereof, of the present invention may be used directly as feed products or alternatively may be incorporated or mixed with feed products for consumption. Furthermore, the food or feed products may be processed or used as is. Exemplary feed products comprising the transgenic plants, or parts thereof, include, but are not limited to, grains, cereals, such as oats, e.g. black oats, barley, wheat, rye, sorghum, corn, vegetables, leguminous plants, especially soybeans, root vegetables and cabbage, or green forage, such as grass or hay.


As used herein the term “about” refers to ±10%.


The terms “comprises”, “comprising”, “includes”, “including”, “having” and their conjugates mean “including but not limited to”.


The term “consisting of means “including and limited to”.


The term “consisting essentially of” means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.


As used herein, the singular form “a”, “an” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a compound” or “at least one compound” may include a plurality of compounds, including mixtures thereof.


Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6.


Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases “ranging/ranges between” a first indicate number and a second indicate number and “ranging/ranges from” a first indicate number “to” a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.


As used herein the term “method” refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.


As used herein, the term “treating” includes abrogating, substantially inhibiting, slowing or reversing the progression of a condition, substantially ameliorating clinical or aesthetical symptoms of a condition or substantially preventing the appearance of clinical or aesthetical symptoms of a condition.


It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.


Various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below find experimental support in the following examples.


EXAMPLES

Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.


Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, “Molecular Cloning: A laboratory Manual” Sambrook et al., (1989); “Current Protocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., “Current Protocols in Molecular Biology”, John Wiley and Sons, Baltimore, Md. (1989); Perbal, “A Practical Guide to Molecular Cloning”, John Wiley & Sons, New York (1988); Watson et al., “Recombinant DNA”, Scientific American Books, New York; Birren et al. (eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis, J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), “Basic and Clinical Immunology” (8th Edition), Appleton & Lange, Norwalk, Conn. (1994); Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; “Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic Acid Hybridization” Hames, B. D., and Higgins S. J., eds. (1985); “Transcription and Translation” Hames, B. D., and Higgins S. J., Eds. (1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “Immobilized Cells and Enzymes” IRL Press, (1986); “A Practical Guide to Molecular Cloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317, Academic Press; “PCR Protocols: A Guide To Methods And Applications”, Academic Press, San Diego, Calif. (1990); Marshak et al., “Strategies for Protein Purification and Characterization—A Laboratory Course Manual” CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.


Example 1
Differential Expression of dsRNAs in Maize Plant Under Optimal Versus Deficient Nitrogen Conditions

Experimental Procedures


Plant Material


Corn seeds were obtained from Galil seeds (Israel). Corn variety 5605 or GSO308 were used in all experiments. Plants were grown at 24° C. under a 16 hours (hr) light: 8 hr dark regime.


Stress Induction


Corn seeds were germinated and grown on agar with defined growth media containing either optimal (100% N2, 20.61 mM) or suboptimal nitrogen levels (1% or 10% N2, 0.2 mM or 2.06 mM, respectively). Seedlings aged one or two weeks were used for tissue samples for RNA analysis, as described below.


Total RNA Extraction


Total RNA of leaf or root samples from four to eight biological repeats were extracted using the mirVana™ kit (Ambion, Austin, Tex.) by pooling 3-4 plants to one biological repeat.


Microarray Design


Custom microarrays were manufactured by Agilent Technologies by in situ synthesis. The first generation microarray consisted of a total of 13619 non-redundant DNA probes, the majority of which arose from deep sequencing data and includes different small RNA molecules (i.e. miRNAs, siRNA and predicted small RNA sequences), with each probe being printed once. An in-depth analysis of the first generation microarray, which included hybridization experiments as well as structure and orientation verifications on all its small RNAs, resulted in the formation of an improved, second generation, microarray. The second generation microarray consists of a total 4721 non-redundant DNA 45-nucleotide long probes for all known plant small RNAs, with 912 sequences (19.32%) from Sanger version 15 and the rest (3809), encompassing miRNAs (968=20.5%), siRNAs (1626=34.44%) and predicted small RNA sequences (1215=25.74%), from deep sequencing data accumulated by the inventors, with each probe being printed in triplicate.


Results


Wild type maize plants were allowed to grow at standard, optimal conditions or nitrogen deficient conditions for one or two weeks, at the end of which they were evaluated for NUE. Three to four plants from each group were used for reproducibility. Four to eight repeats were obtained for each group and RNA was extracted from leaf or root tissue. The expression level of the maize miRNAs was analyzed by high throughput microarray to identify miRNAs that were differentially expressed between the experimental groups.


Tables 1-4 below present dsRNA sequences that were found to be differentially expressed (upregulated=up; downregulated=down) in corn grown under low nitrogen conditions (nitrogen limiting conditions, as described above).









TABLE 1







miRNAs Found to be Upregulated in Plants Growing under Nitrogen


Deficient versus Optimal Conditions














Stem







Loop







Sequence/

Fold
Fold



Mature
SEQ

Change
Change


Mir Name
SEQ ID NO:
ID NO:
Direction
Leaf
Root















Predicted zma mir
CCAAGTCGAGGGC
2691
Up

1.95


48879
AGACCAGGC/1









Predicted zma mir
AGGATGCTGACGC
2692
Up
1.72
1.8


48486
AATGGGAT/2









Predicted folded 24-
GTCAAGTGACTAA
2693
Up
4.93
10.17


nts-long seq 52850
GAGCATGTGGT/3









osa-miR1430
TGGTGAGCCTTCCT
256
Up

3.99



GGCTAAG/4









osa-miR1868
TCACGGAAAACGA
257
Up

2.63



GGGAGCAGCCA/5









osa-miR2096-3p
CCTGAGGGGAAAT
258
Up
3.48
2.71



CGGCGGGA/6









zma-miR399f*
GGGCAACTTCTCCT
259
Up

2.13



TTGGCAGA/7









Predicted folded 24-
AACTAAAACGAAA
2694
Up
2.1



nts-long seq 50935
CGGAAGGAGTA/8









Predicted folded 24-
AAGGTGCTTTTAG
2695
Up
2.08



nts-long seq 51052
GAGTAGGACGG/9









Predicted folded 24-
ACAAAGGAATTAG
2696
Up
3.23
2.49


nts-long seq 51215
AACGGAATGGC/10









Predicted folded 24-
AGAATCAGGAATG
2697
Up

1.54


nts-long seq 51468
GAACGGCTCCG/11









Predicted folded 24-
AGAATCAGGGATG
2698
Up

1.9


nts-long seq 51469
GAACGGCTCTA/12









Predicted folded 24-
AGAGTCACGGGCG
2699
Up

2.34


nts-long seq 51577
AGAAGAGGACG/13









Predicted folded 24-
AGGACCTAGATGA
2700
Up

1.72


nts-long seq 51691
GCGGGCGGTTT/14









Predicted folded 24-
AGGACGCTGCTGG
2701
Up

2.4


nts-long seq 51695
AGACGGAGAAT/15









Predicted folded 24-
AGGGCTTGTTCGG
2702
Up
2.52



nts-long seq 51814
TTTGAAGGGGT/16









Predicted folded 24-
ATCTTTCAACGGCT
2703
Up

2.11


nts-long seq 52057
GCGAAGAAGG/17









Predicted folded 24-
CTAGAATTAGGGA
2704
Up

1.57


nts-long seq 52327
TGGAACGGCTC/18









Predicted folded 24-
GAGGGATAACTGG
2705
Up
2.97



nts-long seq 52499
GGACAACACGG/19









Predicted folded 24-
GCGGAGTGGGATG
2706
Up

1.51


nts-long seq 52633
GGGAGTGTTGC/20









Predicted folded 24-
GGAGACGGATGCG
2707
Up

1.51


nts-long seq 52688
GAGACTGCTGG/21









Predicted folded 24-
GGTTAGGAGTGGA
2708
Up
3.77



nts-long seq 52805
TTGAGGGGGAT/22









Predicted folded 24-
GTCAAGTGACTAA
2709
Up
4.93
10.17


nts-long seq 52850
GAGCATGTGGT/23









Predicted folded 24-
GTGGAATGGAGGA
2710
Up
2.01



nts-long seq 52882
GATTGAGGGGA/24









Predicted folded 24-
TGGCTGAAGGCAG
2711
Up

4.45


nts-long seq 53118
AACCAGGGGAG/25









Predicted folded 24-
TGTGGTAGAGAGG
2712
Up
3.25



nts-long seq 53149
AAGAACAGGAC/26









Predicted folded 24-
AGGGACTCTCTTTA
2713
Up
1.83



nts-long seq 53594
TTTCCGACGG/27









Predicted folded 24-
AGGGTTCGTTTCCT
2714
Up

1.66


nts-long seq 53604
GGGAGCGCGG/28









Predicted folded 24-
TCCTAGAATCAGG
2715
Up

1.6


nts-long seq 54081
GATGGAACGGC/29









Predicted folded 24-
TGGGAGCTCTCTGT
2716
Up
3.47



nts-long seq 54132
TCGATGGCGC/30









Predicted zma mir
AACGTCGTGTCGT
2717
Up

1.62


48061
GCTTGGGCT/31









Predicted zma mir
ACCTGGACCAATA
2718
Up
2.58



48295
CATGAGATT/32









Predicted zma mir
AGAAGCGACAATG
2719
Up
4.65



48350
GGACGGAGT/33









Predicted zma mir
AGGAAGGAACAAA
2720
Up

2.08


48457
CGAGGATAAG/34









Predicted zma mir
CCAAGAGATGGAA
2721
Up
2



48877
GGGCAGAGC/35









Predicted zma mir
CGACAACGGGACG
2722
Up

1.58


48922
GAGTTCAA/36









Predicted zma mir
GAGGATGGAGAGG
2723
Up
2.02



49123
TACGTCAGA/37









Predicted zma mir
GATGGGTAGGAGA
2724
Up
1.51
1.55


49161
GCGTCGTGTG/38









Predicted zma mir
GATGGTTCATAGG
2725
Up

4.2


49162
TGACGGTAG/39









Predicted zma mir
GGGAGCCGAGACA
2726
Up

2.64


49262
TAGAGATGT/40









Predicted zma mir
GTGAGGAGTGATA
2727
Up

2.17


49323
ATGAGACGG/41









Predicted zma mir
GTTTGGGGCTTTAG
2728
Up
1.58



49369
CAGGTTTAT/42









Predicted zma mir
TCCATAGCTGGGC
2729
Up

5.52


49609
GGAAGAGAT/43









Predicted zma mir
TCGGCATGTGTAG
2730
Up
3.24 ± 1.00
3.235 ± 0.205


49638
GATAGGTG/44









Predicted zma mir
TGATAGGCTGGGT
2731
Up
2.01
1.73


49761
GTGGAAGCG/45









Predicted zma mir
TGCAAACAGACTG
2732
Up

3


49787
GGGAGGCGA/46









Predicted zma mir
TTTGGCTGACAGG
2733
Up
2.44



50077
ATAAGGGAG/47









Predicted zma mir
TTTTCATAGCTGGG
2734
Up
19.94



50095
CGGAAGAG/48









Predicted zma mir
AACTTTAAATAGG
2793
Up

1.51


50110
TAGGACGGCGC/49









Predicted zma mir
GGAATGTTGTCTG
2735
Up
14.34



50204
GTTCAAGG/50









Predicted zma mir
TGTAATGTTCGCG
2736
Up

1.7


50261
GAAGGCCAC/51









Predicted zma mir
TGTTGGCATGGCTC
2737
Up

1.82


50267
AATCAAC/52









Predicted zma mir
CGCTGACGCCGTG
2738
Up

2.33


50460
CCACCTCAT/53









Predicted zma mir
GCCTGGGCCTCTTT
2739
Up

1.5


50545
AGACCT/54









Predicted zma mir
GTAGGATGGATGG
2740
Up

2.07


50578
AGAGGGTTC/55









Predicted zma mir
TCAACGGGCTGGC
2741
up

1.55


50611
GGATGTG/56





Table 1. Provided are the sequence information and annotation of the miRNAs which are upregulated in plants grown under Nitrogen-deficient conditions versus optimal Nitrogen conditions.













TABLE 2







miRNAs Found to be Downregulated in Plants Growing under Nitrogen


Deficient versus Optimal Conditions














Stem







Loop







Sequence/

Fold
Fold



Mature Sequence/SEQ ID
SEQ

Change
Change


Mir Name
NO:
ID NO:
Direction
Leaf
Root















Predicted zma mir
TAGCCAAGCATGATTT
2742
Down
2.51
1.66


50601
GCCCG/57









aqc-miR529
AGAAGAGAGAGAGCA
260
Down
1.53




CAACCC/58









ath-miR2936
CTTGAGAGAGAGAACA
261
Down
1.54




CAGACG/59









Predicted zma mir
AGGATGTGAGGCTATT
2743
Down

2.75


48492
GGGGAC/60









mtr-miR169q
TGAGCCAGGATGACTT
262
Down
3.04




GCCGG/61









peu-miR2911
GGCCGGGGGACGGGCT
265
Down
1.66




GGGA/64









Predicted folded 24-
AAAAAAGACTGAGCCG
2744
Down

2.66


nts-long seq 50703
AATTGAAA/65









Predicted folded 24-
AAGGAGTTTAATGAAG
2745
Down
1.62



nts-long seq 51022
AAAGAGAG/66









Predicted folded 24-
ACTGATGACGACACTG
2746
Down
7.7



nts-long seq 51381
AGGAGGCT/67









Predicted folded 24-
AGAGGAACCAGAGCCG
2747
Down
1.52



nts-long seq 51542
AAGCCGTT/68









Predicted folded 24-
AGGCAAGGTGGAGGAC
2748
Down
2.07



nts-long seq 51757
GTTGATGA/69









Predicted folded 24-
AGGGCTGATTTGGTGA
2749
Down
3.7
2.04


nts-long seq 51802
CAAGGGGA/70









Predicted folded 24-
ATATAAAGGGAGGAGG
2750
Down
2.1



nts-long seq 51966
TATGGACC/71









Predicted folded 24-
ATCGGTCAGCTGGAGG
2751
Down
1.7



nts-long seq 52041
AGACAGGT/72









Predicted folded 24-
ATGGTAAGAGACTATG
2752
Down

1.62


nts-long seq 52109
ATCCAACT/73









Predicted folded 24-
CAATTTTGTACTGGATC
2753
Down

1.53


nts-long seq 52212
GGGGCAT/74









Predicted folded 24-
CAGAGGAACCAGAGCC
2754
Down
1.58



nts-long seq 52218
GAAGCCGT/75









Predicted folded 24-
CGGCTGGACAGGGAAG
2755
Down
1.63



nts-long seq 52299
AAGAGCAC/76









Predicted folded 24-
GAAACTTGGAGAGATG
2756
Down

1.7


nts-long seq 52347
GAGGCTTT/77









Predicted folded 24-
GAGAGAGAAGGGAGC
2757
Down
3.25
2.52


nts-long seq 52452
GGATCTGGT/78









Predicted folded 24-
GCTGCACGGGATTGGT
2758
Down
2.34



nts-long seq 52648
GGAGAGGT/79









Predicted folded 24-
GGCTGCTGGAGAGCGT
2759
Down
2.13



nts-long seq 52739
AGAGGACC/80









Predicted folded 24-
GGGTTTTGAGAGCGAG
2760
Down

2.9


nts-long seq 52792
TGAAGGGG/81









Predicted folded 24-
GGTATTGGGGTGGATT
2761
Down
1.59



nts-long seq 52795
GAGGTGGA/82









Predicted folded 24-
GGTGGCGATGCAAGAG
2762
Down
2.52
3.87


nts-long seq 52801
GAGCTCAA/83









Predicted folded 24-
GTTGCTGGAGAGAGTA
2763
Down

2.35


nts-long seq 52955
GAGGACGT/84









Predicted zma mir
AAAAGAGAAACCGAA
2764
Down

1.78


47944
GACACAT/85









Predicted zma mir
AAAGAGGATGAGGAGT
2765
Down
4.09



47976
AGCATG/86









Predicted zma mir
AATACACATGGGTTGA
2766
Down
1.85



48185
GGAGG/87









Predicted zma mir
AGAAGCGGACTGCCAA
2767
Down
3.18



48351
GGAGGC/88









Predicted zma mir
AGAGGGTTTGGGGATA
2768
Down

8.95


48397
GAGGGAC/89









Predicted zma mir
ATAGGGATGAGGCAGA
2769
Down

2.1


48588
GCATG/90









Predicted zma mir
ATGCTATTTGTACCCGT
2770
Down

1.67


48669
CACCG/91









Predicted zma mir
ATGTGGATAAAAGGAG
2771
Down

1.61


48708
GGATGA/92









Predicted zma mir
CAACAGGAACAAGGAG
2772
Down
1.52



48771
GACCAT/93









Predicted zma mir
CTGAGTTGAGAAAGAG
2773
Down

1.51


49002
ATGCT/94









Predicted zma mir
CTGATGGGAGGTGGAG
2774
Down
1.61



49003
TTGCAT/95









Predicted zma mir
CTGGGAAGATGGAACA
2775
Down

1.64


49011
TTTTGGT/96









Predicted zma mir
GAAGATATACGATGAT
2776
Down
1.55



49053
GAGGAG/97









Predicted zma mir
GAATCTATCGTTTGGG
2777
Down
1.65
2.01


49070
CTCAT/98









Predicted zma mir
GACGAGCTACAAAAGG
2778
Down
1.6



49082
ATTCG/99









Predicted zma mir
GATGACGAGGAGTGAG
2779
Down

3.64


49155
AGTAGG/100









Predicted zma mir
GGGCATCTTCTGGCAG
2780
Down
1.64



49269
GAGGACA/101









Predicted zma mir
TACGGAAGAAGAGCAA
2781
Down
1.64



49435
GTTTT/102









Predicted zma mir
TAGAAAGAGCGAGAGA
2782
Down

1.55


49445
ACAAAG/103









Predicted zma mir
TGATATTATGGACGAC
2783
Down
1.54
1.57


49762
TGGTT/104









Predicted zma mir
TGGAAGGGCCATGCCG
2784
Down

2.45


49816
AGGAG/105









Predicted zma mir
TTGAGCGCAGCGTTGA
2785
Down

2.93


49985
TGAGC/106









Predicted zma mir
TTGGATAACGGGTAGT
2786
Down

1.79


50021
TTGGAGT/107









Predicted zma mir
AGCTGCCGACTCATTC
2787
Down

1.54


50144
ACCCA/108









Predicted zma mir
TGTACGATGATCAGGA
2788
Down
1.53



50263
GGAGGT/109









Predicted zma mir
TGTGTTCTCAGGTCGCC
2789
Down

2.51


50266
CCCG/110









Predicted zma mir
ACTAAAAAGAAACAGA
2790
Down
1.5



50318
GGGAG/111









Predicted zma mir
GACCGGCTCGACCCTT
2791
Down
1.55



50517
CTGC/112









Predicted zma mir
TGGTAGGATGGATGGA
2792
Down
1.55



50670
GAGGGT/113









zma-miR166d*
GGAATGTTGTCTGGTTC
266
Down
1.73




AAGG/114









zma-miR169c*
GGCAAGTCTGTCCTTG
267
Down
2.41




GCTACA/115









zma-miR399g
TGCCAAAGGGGATTTG
271
Down

1.55



CCCGG/118





Table 2. Provided are the sequence information and annotation of the miRNAs which are downregulated in plants grown under Nitrogen-deficient conditions versus optimal Nitrogen conditions.













TABLE 3







siRNAs Found to be Upregulated in Plants Growing under Nitrogen


Deficient versus Optimal Conditions














Fold






Change
Fold Change


Mir Name
Mature Sequence/SEQ ID NO:
Direction
Leaf
Root














Predicted
AAGAAACGGGGCAGTGAGA
Up

1.51


siRNA 54339
TGGAC/119








Predicted
AGAAAAGATTGAGCCGAAT
Up
2.02



siRNA 54631
TGAATT/120








Predicted
AGAGCCTGTAGCTAATGGT
Up
1.95



siRNA 54991
GGG/121








Predicted
AGGTAGCGGCCTAAGAACG
Up
2.36
1.67


siRNA 55111
ACACA/122








Predicted
CCTATATACTGGAACGGAA
Up

1.57


siRNA 55423
CGGCT/123








Predicted
CTATATACTGGAACGGAAC
Up

2.23


siRNA 55806
GGCTT/124








Predicted
GACGAGATCGAGTCTGGAG
Up
1.86



siRNA 56052
CGAGC/125








Predicted
GAGTATGGGGAGGGACTAG
Up

2.3


siRNA 56106
GGA/126








Predicted
GACGAAATAGAGGCTCAGG
Up
2.08



siRNA 56353
AGAGG/127








Predicted
GGATTCGTGATTGGCGATG
Up

1.51


siRNA 56388
GGG/128








Predicted
GGTGAGAAACGGAAAGGCA
Up
4.04



siRNA 56406
GGACA/129








Predicted
GTGTCTGAGCAGGGTGAGA
Up
1.53
1.58


siRNA 56443
AGGCT/130








Predicted
GTTTTGGAGGCGTAGGCGA
Up
3.04



siRNA 56450
GGGAT/131








Predicted
TGGGACGCTGCATCTGTTGA
Up
2.96



siRNA 56542
T/132








Predicted
TCTATATACTGGAACGGAA
Up

1.76


siRNA 56706
CGGCT/133








Predicted
GTTGTTGGAGGGGTAGAGG
Up
1.55



siRNA 56856
ACGTC/134








Predicted
AATGACAGGACGGGATGGG
Up

2.87


siRNA 57034
ACGGG/135








Predicted
ACGGAACGGCTTCATACCA
Up

2.43


siRNA 57054
CAATA/136








Predicted
GACGGGCCGACATTTAGAG
Up

1.69


siRNA 57193
CACGG/137








Predicted
ACGGATAAAAGGTACTCT/
Up

2.82


siRNA 57884
138








Predicted
AGTATGTCGAAAACTGGAG
Up
4.54



siRNA 58292
GGC/139








Predicted
ATAAGCACCGGCTAACTCT/
Up

2.87


siRNA 58362
140








Predicted
ATTCAGCGGGCGTGGTTATT
Up

1.55


siRNA 58665
GGCA/141








Predicted
CAGCGGGTGCCATAGTCGA
Up

1.92


siRNA 58872
T/142








Predicted
CATTGCGACGGTCCTCAA/
Up

1.57


siRNA 58940
143








Predicted
CTCAACGGATAAAAGGTAC/
Up

2.21


siRNA 59380
144








Predicted
GACAGTCAGGATGTTGGCT/
Up
2.68
2.12


siRNA 59626
145








Predicted
GACTGATCCTTCGGTGTCGG
Up

1.67


siRNA 59659
CG/146








Predicted
GCCGAAGATTAAAAGACGA
Up
1.64



siRNA 59846
GACGA/147








Predicted
GCCTTTGCCGACCATCCTGA
Up

1.6


siRNA 59867
/148








Predicted
GGAATCGCTAGTAATCGTG
Up
1.87
1.76


siRNA 59952
GAT/149








Predicted
GGAGCAGCTCTGGTCGTGG
Up

1.85 ± 0.007


siRNA 59961
G/150








Predicted
GGAGGCTCGACTATGTTCA
Up

2.97


siRNA 59965
AA/151








Predicted
GGAGGGATGTGAGAACATG
Up

1.62


siRNA 59966
GGC/152








Predicted
GTCCCCTTCGTCTAGAGGC/
Up

2.82


siRNA 60081
153








Predicted
GTCTGAGTGGTGTAGTTGGT/
Up
2.12



siRNA 60095
154








Predicted
GTTGGTAGAGCAGTTGGC/
Up

4.11


siRNA 60188
155








Predicted
TACGTTCCCGGGTCTTGTAC
Up

1.95


siRNA 60285
A/156








Predicted
TATGGATGAAGATGGGGGT
Up
3.68



siRNA 60387
G/157








Predicted
TCAACGGATAAAAGGTACT
Up

2.23


siRNA 60434
CCG/158








Predicted
TGCCCAGTGCTTTGAATG/
Up

3.37


siRNA 60837
159








Predicted
TGCGAGACCGACAAGTCGA
Up
1.64
1.86


siRNA 60850
GC/160








Predicted
TTTGCGACACGGGCTGCTCT/
Up

1.52


siRNA 61382
161





Table 3. Provided are the sequence information and annotation of the siRNAs which are upregulated in plants grown under Nitrogen-deficient conditions versus optimal Nitrogen conditions.













TABLE 4







siRNAs Found to be Downregulated in Plants Growing


under Nitrogen Deficient versus Optimal Conditions












Mature

Fold
Fold


Mir
Sequence/SEQ ID
Direc-
Change
Change


Name
NO:
tion
Leaf
Root














Predicted
CATCGCTCAACG
down

1.55


siRNA
GACAAAAGGT/





58924
162








Predicted
AAGACGAAGGTA
Down
2.79



siRNA
GCAGCGCGATAT/





54240
163








Predicted
AGCCAGACTGAT
Down
1.51



siRNA
GAGAGAAGGAGG/





54957
164








Predicted
ACGTTGTTGGAA
Down
1.56



siRNA
GGGTAGAGGACG/





55081
165








Predicted
CAAGTTATGCAG
Down

5.98


siRNA
TTGCTGCCT/166





55393









Predicted
CAGAATGGAGGA
Down
3.49



siRNA
AGAGATGGTG/167





55404









Predicted
ATCTGTGGAGAG
Down
1.58



siRNA
AGAAGGTTGCCC/





55472
168








Predicted
ATGTCAGGGGGC
Down
2.41



siRNA
CATGCAGTAT/169





55720









Predicted
ATCCTGACTGTG
Down
1.96



siRNA
CCGGGCCGGCCC/





55732
170








Predicted
CGAGTTCGCCGT
Down

2.24


siRNA
AGAGAAAGCT/171





56034









Predicted
GACTGATTCGGA
Down

3.23


siRNA
CGAAGGAGGGTT/





56162
172








Predicted
GTCTGAACACTA
Down
1.87



siRNA
AACGAAGCACA/173





56205









Predicted
GACGTTGTTGGA
Down
3.94



siRNA
AGGGTAGAGGAC/





56277
174








Predicted
GCTACTGTAGTTC
Down
1.71



siRNA
ACGGGCCGGCC/





56307
175








Predicted
GGTATTCGTGAG
Down
1.67



siRNA
CCTGTTTCTGGTT/





56425
176











Predicted
TGGAAGGAGCAT
Down

2.68


siRNA
GCATCTTGAG/177





56837









Predicted
TTCTTGACCTTGT
Down

3.66


siRNA
AAGACCCA/178





56965









Predicted
AGCAGAATGGAG
Down
1.53



siRNA
GAAGAGATGG/179





57088









Predicted
CTGGACACTGTT
Down
1.58



siRNA
GCAGAAGGAGGA/





57179
180








Predicted
GAAATAGGATAG
Down
3.34
2.91


siRNA
GAGGAGGGATGA/





57181
181








Predicted
GGCACGACTAAC
Down

2.45


siRNA
AGACTCACGGGC/





57228
182








Predicted
AATCCCGGTGGA
Down
3.6
2.7


siRNA
ACCTCCA/183





57685









Predicted
ACACGACAAGAC
Down

1.57


siRNA
GAATGAGAGAGA/





57772
184








Predicted
ACGACGAGGACT
Down
1.53



siRNA
TCGAGACG/185





57863









Predicted
CAAAGTGGTCGT
Down
1.61



siRNA
GCCGGAG/186





58721









Predicted
CAGCTTGAGAAT
Down
3.8



siRNA
CGGGCCGC/187





58877









Predicted
CCCTGTGACAAG
Down
1.6



siRNA
AGGAGGA/188





59032









Predicted
CCTGCTAACTAG
Down
1.74



siRNA
TTATGCGGAGC/189





59102









Predicted
CGAACTCAGAAG
Down
2.11
2.62


siRNA
TGAAACC/190





59123









Predicted
CGCTTCGTCAAG
Down
1.59



siRNA
GAGAAGGGC/191





59235









Predicted
CTTAACTGGGCG
Down

2.17


siRNA
TTAAGTTGCAGG





59485
GT/192








Predicted
GGACGAACCTCT
Down

1.76


siRNA
GGTGTACC/193





59954









Predicted
GGCGCTGGAGAA
Down

2.58


siRNA
CTGAGGG/194





59993









Predicted
GGGGGCCTAAAT
Down
2.48



siRNA
AAAGACT/195





60012









Predicted
GTGCTAACGTCC
Down

3.15


siRNA
GTCGTGAA/196





60123









Predicted
TAGCTTAACCTTC
Down

1.9


siRNA
GGGAGGG/197





60334









Predicted
TGAGAAAGAAAG
Down
1.64



siRNA
AGAAGGCTCA/





60750
198








Predicted
TGATGTCCTTAG
Down

1.99


siRNA
ATGTTCTGGGC/199





60803









Predicted
CATGTGTTCTCAG
Down

2.55


siRNA
GTCGCCCC/200





55413





Table 4. Provided are the sequence information and annotation of the siRNAs which are downregulated in plants grown under Nitrogen-deficient versus optimal Nitrogen conditions.






Example 2
Identification of Homologous and Orthologous Sequences for the Differential miRNAs and siRNAs Listed in Tables 1-4 Above

The miRNA sequences of some embodiments of the invention that were upregulated under nitrogen limiting conditions were examined for homologous and orthologous sequences using the miRBase database (www.mirbase.org/) and the Plant MicroRNA Database (PMRD, www.bioinformatics.cau.edu.cn/PMRD). The mature miRNA sequences that are homologous or orthologous to the miRNAs of the invention (listed in Tables 1-2 above) are found using miRNA public databases, having at least 60% identity to the Maize mature sequence and are summarized in Tables 5-7 below [as determined by Blast analysis (Version 2.2.25+), Released March 2011] using the following parameters as defined in MirBase: Search algorithm: BLASTN; Sequence database: mature; Evalue cutoff: 10; Max alignments: 100; Word size: 4; Match score: +5; Mismatch penalty: −4;









TABLE 5







Summary of Homologs/Orthologs of miRNAs of Table 1























Hom.





Stem-




Stem-



Mature

loop




loop


Small
sequence/

SEQ




SEQ


RNA
SEQ ID
Mir
ID
Hom.
Hom. SEQ
Hom.
%
ID


Name
NO:
length
NO:
Name
ID NO:
length
Identity
NO:


















zma-
GGGCAA
22
260
aly-
GGGCAAA
22
0.86
272


miR399f*
CTTCTCC


miR399g*
TACTCCAT






TTTGGCA



TGGCAGA/






GA/7



201









aly-
GGGCAAA
22
0.86
273






miR399i*
TACTCCAT










TGGCAGA/










202









aly-
GGGCGAA
22
0.82
274






miR399d*
TACTCCTA










TGGCAGA/










203









aly-
GGGCAAG
22
0.82
275






miR399f*
ATCACCAT










TGGCAGA/










204









aly-
GGGCGCC
21
0.77
276






miR399b*
TCTCCATT










GGCAGG/










205









aly-
GGGCATCT
21
0.77
277






miR399c*
TTCTATTG










GCAGG/206









aly-
GGGCAAG
22
0.77
278






miR399h*
ATCTCTAT










TGGCAGG/










207









zma-
GGGTACG
21
0.77
279






miR399c*
TCTCCTTT










GGCACA/










208









zma-
GGGCAAC
21
0.77
280






miR399g*
CCCCCGTT










GGCAGG/










209









zma-
AGGCAGC
21
0.77
281






miR399j*
TCTCCTCT










GGCAGG/










210









aly-
GGGTAAG
22
0.73
282






miR399a*
ATCTCTAT










TGGCAGG/










211









aly-
GGGCGAA
22
0.73
283






miR399e*
TCCTCTAT










TGGCAGG/










212









zma-
GTGCAGCT
21
0.73
284






miR399b*
CTCCTCTG










GCATG/213









zma-
GTGCAGTT
21
0.73
285






miR399h*
CTCCTCTG










GCACG/214









zma-
GTGCGGTT
21
0.68
286






miR399a*
CTCCTCTG










GCACG/215









zma-
GGGCTTCT
21
0.68
287






miR399e*
CTTTCTTG










GCAGG/216









zma-
GTGCGGCT
21
0.68
288






miR399i*
CTCCTCTG










GCATG/217









zma-
GTGTGGCT
21
0.64
289






miR399d*
CTCCTCTG










GCATG/218








Predicted
GGAATG
21

zma-
GGAATGTT
21
1
290


zma
TTGTCTG


miR166b*
GTCTGGTT





mir
GTTCAA



CAAGG/219





50204
GG/50


zma-
GGAATGTT
21
1
291






miR166d*
GTCTGGTT










CAAGG/220









aly-
GGAATGTT
21
0.9
292






miR166a*
GTCTGGCT










CGAGG/221









aly-
GGAATGTT
21
0.9
293






miR166c*
GTCTGGCT










CGAGG/222









aly-
GGAATGTT
21
0.9
294






miR166d*
GTCTGGCT










CGAGG/223









csi-
GGAATGTT
21
0.9
295






miR166e*
GTCTGGCT










CGAGG/224









zma-
GGAATGTT
21
0.9
296






miR166c*
GTCTGGCT










CGAGG/225









zma-
GGTTTGTT
22
0.9
297






miR166j*
TGTCTGGT










TCAAGG/










226









aly-
GGACTGTT
21
0.86
298






miR166b*
GTCTGGCT










CGAGG/227









aly-
GGAATGTT
21
0.86
299






miR166e*
GTCTGGCA










CGAGG/228









aly-
GGAATGTT
21
0.86
300






miR166g*
GTTTGGCT










CGAGG/229









zma-
GGAATGTT
21
0.86
301






miR166a*
GTCTGGCT










CGGGG/230









zma-
GGAATGTT
21
0.86
302






miR166g*
GTCTGGTT










GGAGA/231









zma-
GGAATGTT
21
0.86
303






miR166m*
GGCTGGCT










CGAGG/232









zma-
GGATTGTT
21
0.81
304






miR166k*
GTCTGGCT










CGGGG/233









zma-
GGAATGT
21
0.76
305






miR166i*
CGTCTGGC










GCGAGA/










234









zma-
GGATTGTT
21
0.76
306






miR166n*
GTCTGGCT










CGGTG/235









aly-
TGAATGAT
21
0.71
307






miR166f*
GCCTGGCT










CGAGA/236









zma-
GAATGGA
20
0.71
308






miR166l*
GGCTGGTC










CAAGA/237









zma-
GGAATGA
21
0.67
309






miR166h*
CGTCCGGT










CCGAAC/










238





Table 5: Provided are homologues/orthologs of the miRNAs described in Table 1 above, along with the sequence identifiers and the degree of sequence identity.













TABLE 6







Summary of Homologs/Orthologs of miRNAs of Table 2


















Stem-




Hom.





loop




Stem-





sequence/




loop


Small
Mature

SEQ




SEQ


RNA
SEQ ID
Mir
ID

Hom. SEQ ID
Homo.

ID


Name
NO:
length
NO:
Hom. Name
NO:
length
Identity
NO:





zma-
GGCAA
22
267
aly-miR169a*
GGCAAGTTGT
21
0.95
1842


miR169c*
GTCTGT



CCTTGGCTAC






CCTTG



A/1032






GCTAC


zma
GGCAAGTTGT
21
0.95
1843



A/115


miR169r*
CCTTGGCTAC










A/1033









zma-
GGCAAGTTGT
21
0.91
1844






miR169a*
TCTTGGCTAC










A/1034









zma-
GGCAAGTTGT
21
0.91
1845






miR169b*
TCTTGGCTAC










A/1035









zma-
GGCATGTCTT
21
0.86
1846






miR169f*
CCTTGGCTAC










T/1036









ath-miR169g*
TCCGGCAAGT
21
0.77
1847







TGACCTTGGC










T/1037









aly-miR169b*
GGCAAGTTGT
22
0.73
1848







CCTTCGGCTA










CA/1038









aly-miR169c*
GGCAAGTCAT
21
0.73
1849







CTCTGGCTAT










G/1039









aly-miR169d*
GCAAGTTGAC
21
0.73
1850







CTTGGCTCTG










T/1040









aly-miR169e*
GCAAGTTGAC
21
0.73
1851







CTTGGCTCTG










T/1041









aly-miR169f*
GCAAGTTGAC
21
0.73
1852







CTTGGCTCTG










C/1042









aly-miR169g*
GCAAGTTGAC
21
0.73
1853







CTTGGCTCTG










T/1043









zma-
GGCAGGTCTT
20
0.73
1854






miR169o*
CTTGGCTAGC/










1044









zma-
GGCAAGTCAT
21
0.73
1855






miR169p*
CTGGGGCTAC










G/1045









aly-miR169h*
GGCAGTCTCC
19
0.68
1856







TTGGCTATT/










1046









aly-miR169j*
GGCAGTCTCC
19
0.68
1857







TTGGCTATC/










1047









aly-miR169k*
GGCAGTCTCC
19
0.68
1858







TTGGCTATC/










1048









aly-miR169l*
GGCAGTCTCC
19
0.68
1859







TTGGCTATC/










1049









zma-
GGCAGTCTCC
18
0.68
1860






miR169i*
TTGGCTAG/










1050









zma-
GGCAGTCTCC
18
0.68
1861






miR169j*
TTGGCTAG/










1051









zma-
GGCAGTCTCC
18
0.68
1862






miR169k*
TTGGCTAG/










1052









zma-
GGCAAATCAT
20
0.68
1863






miR169l*
CCCTGCTACC/










1053









zma-
GGCATCCATT
20
0.68
1864






miR169m*
CTTGGCTAAG/










1054









zma-
GGCAGGCCTT
20
0.68
1865






miR169n*
CTTGGCTAAG/










1055









aly-miR169i*
GGCAGTCTCC
19
0.64
1866







TTGGATATC/










1056









aly-
GGCAGTCTTC
19
0.64
1867






miR169m*
TTGGCTATC/










1057









aly-miR169n*
GGCAGTCTCT
19
0.64
1868







TTGGCTATC/










1058









aqc-miR169a
TAGCCAAGGA
21
0.64
1869







TGACTTGCCT










A/1059









bdi-miR169d
TAGCCAAGAA
21
0.64
1870







TGACTTGCCT










A/1060









bdi-miR169h
TAGCCAAGGA
21
0.64
1871







TGACTTGCCT










A/1061









bdi-miR169i
CCAGCCAAGA
22
0.64
1872







ATGGCTTGCC










TA/1062









bna-miR169c
TAGCCAAGGA
21
0.64
1873







TGACTTGCCT










A/1063









bna-miR169d
TAGCCAAGGA
21
0.64
1874







TGACTTGCCT










A/1064









bna-miR169e
TAGCCAAGGA
21
0.64
2620







TGACTTGCCT










A/1065









bna-miR169f
TAGCCAAGGA
21
0.64
1876







TGACTTGCCT










A/1066









bna-miR169g
TAGCCAAGGA
22
0.64
1877







TGACTTGCCT










GC/1067









bna-miR169h
TAGCCAAGGA
22
0.64
1878







TGACTTGCCT










GC/1068









bna-miR169i
TAGCCAAGGA
22
0.64
1879







TGACTTGCCT










GC/1069









bna-miR169j
TAGCCAAGGA
22
0.64
1880







TGACTTGCCT










GC/1070









bna-miR169k
TAGCCAAGGA
22
0.64
1881







TGACTTGCCT










GC/1071









bna-miR169l
TAGCCAAGGA
22
0.64
1882







TGACTTGCCT










GC/1072









far-miR169
TAGCCAAGGA
21
0.64
1883







TGACTTGCCT










A/1073









mtr-miR169f
AAGCCAAGGA
21
0.64
1884







TGACTTGCCT










A/1074









osa-miR169f
TAGCCAAGGA
21
0.64
1885







TGACTTGCCT










A/1075









osa-miR169g
TAGCCAAGGA
21
0.64
1886







TGACTTGCCT










A/1076









osa-miR169n
TAGCCAAGAA
21
0.64
1887







TGACTTGCCT










A/1077









osa-miR169o
TAGCCAAGAA
21
0.64
1888







TGACTTGCCT










A/1078









ptc-miR169r
TAGCCAAGGA
21
0.64
1889







TGACTTGCCT










A/1079









sbi-miR169c
TAGCCAAGGA
21
0.64
1890







TGACTTGCCT










A/1080









sbi-miR169d
TAGCCAAGGA
21
0.64
2621







TGACTTGCCT










A/1081









sbi-miR169i
TAGCCAAGAA
21
0.64
1892







TGACTTGCCT










A/1082









sbi-miR169m
TAGCCAAGGA
21
0.64
1893







TGACTTGCCT










A/1083









sbi-miR169n
TAGCCAAGGA
21
0.64
1894







TGACTTGCCT










A/1084









sbi-miR169p
TAGCCAAGAA
21
0.64
1895







TGGCTTGCCT










A/1085









sbi-miR169q
TAGCCAAGAA
21
0.64
1896







TGGCTTGCCT










A/1086









sly-miR169d
TAGCCAAGGA
21
0.64
1897







TGACTTGCCT










A/1087









tcc-miR169d
TAGCCAAGGA
21
0.64
1898







TGACTTGCCT










A/1088









vvi-miR169x
TAGCCAAGGA
21
0.64
1899







TGACTTGCCT










A/1089









zma-miR169f
TAGCCAAGGA
21
0.64
1900







TGACTTGCCT










A/1090









zma-miR169g
TAGCCAAGGA
21
0.64
1901







TGACTTGCCT










A/1091









zma-miR169h
TAGCCAAGGA
21
0.64
1902







TGACTTGCCT










A/1092









zma-
TAGCCAAGAA
21
0.64
2622;






miR169m
TGGCTTGCCT


1903







A/ 1093;










TAGCCAAGGA










TGACTTGCCT










A/ 1810









sbi-miR169h
TAGCCAAGGA
21
0.64/
2623;







TGACTTGCCT

0.59
1904







A/ 1094;










TAGCCAAGGA










TGACTTGCCT










G/ 1811









vvi-miR169e
TAGCCAAGGA
22/21
0.64/
1905







TGACTTGCCT

0.59








GC/ 1095;










TAGCCAAGGA










TGACTTGCCT










G/ 1812









zma-miR169n
TAGCCAAGAA
21
0.64/
2624;







TGGCTTGCCT

0.55
1906







A/ 1096;










TAGCCAAGGA










TGACTTGCCG










G/ 1813









zma-miR169o
TAGCCAAGAA
21
0.64/
2625;







TGACTTGCCT

0.55
1907







A/ 1097;










TAGCCAAGGA










TGACTTGCCG










G/ 1814









zma-miR169q
TAGCCAAGAA
21
0.64/
2626;







TGGCTTGCCT

0.55
1908







A/ 1098;










TAGCCAAGGA










TGACTTGCCG










G/ 1815









zma-miR169l
TAGCCAGGGA
21
0.50/
2627;







TGATTTGCCT

0.64
1909







G/ 1099;










TAGCCAAGGA










TGACTTGCCT










A/ 1816








mtr-
TGAGC
21
262
gma-miR169d
TGAGCCAAGG
23
1
1910


miR169q
CAGGA



ATGACTTGCC






TGACTT



GGT/1100






GCCGG/


aly-miR169f
TGAGCCAAGG
21
0.95
1911



61



ATGACTTGCC










G/ 1101









ath-miR169g
TGAGCCAAGG
21
0.95
1912







ATGACTTGCC










G/ 1102









ath-miR169e
TGAGCCAAGG
21
0.95
1913







ATGACTTGCC










G/ 1103









vvi-miR169n
GAGCCAAGGA
21
0.95
1914







TGACTTGCCG










G/ 1104









aly-miR169e
TGAGCCAAGG
21
0.95
1915







ATGACTTGCC










G/ 1105









aly-miR169d
TGAGCCAAGG
21
0.95
1916







ATGACTTGCC










G/ 1106









ath-miR169d
TGAGCCAAGG
21
0.95
1917







ATGACTTGCC










G/ 1107









ath-miR169f
TGAGCCAAGG
21
0.95
1918







ATGACTTGCC










G/ 1108









rco-miR169c
TGAGCCAAGG
21
0.95
1919







ATGACTTGCC










G/ 1109









mtr-miR169p
TGAGCCAGGA
21
0.95
1920







TGGCTTGCCG










G/ 1110









aly-miR169g
TGAGCCAAGG
21
0.95
1921







ATGACTTGCC










G/ 1111









vvi-miR169p
GAGCCAAGGA
21
0.95
1922







TGACTTGCCG










G/ 1112









vvi-miR169q
GAGCCAAGGA
21
0.95
1923







TGACTTGCCG










G/ 1113









ptc-miR169n
TGAGCCAAGG
21
0.95
1924







ATGACTTGCC










G/ 1114









vvi-miR169m
GAGCCAAGGA
21
0.95
1925







TGACTTGCCG










G/ 1115









tcc-miR169m
TGAGCCAAGG
21
0.95
1926







ATGACTTGCC










G/ 1116









mtr-miR169m
GAGCCAAGGA
21
0.95
1927







TGACTTGCCG










G/ 1117









bna-miR169m
TGAGCCAAAG
21
0.9
1928







ATGACTTGCC










G/ 1118









gma-miR169e
AGCCAAGGAT
20
0.9
1929







GACTTGCCGG/










1119









vvi-miR169b
TGAGCCAAGG
21
0.9
1930







ATGGCTTGCC










G/ 1120









mtr-miR169h
GAGCCAAAGA
21
0.9
1931







TGACTTGCCG










G/1121









mtr-miR169e
GGAGCCAAGG
21
0.9
1932







ATGACTTGCC










G/1122









ptc-miR169t
GAGCCAAGAA
21
0.9
1933







TGACTTGCCG










G/1123









vvi-miR169o
GAGCCAAGGA
21
0.9
1934







TGACTTGCCG










C/1124









vvi-miR169u
TGAGTCAAGG
21
0.9
1935







ATGACTTGCC










G/1125









vvi-miR169r
TGAGTCAAGG
21
0.9
1936







ATGACTTGCC










G/1126









vvi-miR169h
TGAGCCAAGG
21
0.9
1937







ATGGCTTGCC










G/1127









vvi-miR169l
GAGCCAAGGA
21
0.9
1938







TGACTTGCCG










T/1128









mtr-miR169i
TGAGCCAAAG
21
0.9
1939







ATGACTTGCC










G/1129









mtr-miR169n
TGAGCCAAAG
21
0.9
1940







ATGACTTGCC










G/1130









mtr-miR169o
TGAGCCAAAG
21
0.9
1941







ATGACTTGCC










G/1131









mtr-miR169l
AAGCCAAGGA
21
0.9
1942







TGACTTGCCG










G/1132









ptc-miR169s
TCAGCCAAGG
21
0.9
1943







ATGACTTGCC










G/1133









ptc-miR169aa
GAGCCAAGAA
21
0.86
1944







TGACTTGTCG










G/1134









ptc-miR169o
AAGCCAAGGA
21
0.86
1945







TGACTTGCCT










G/1135









ptc-miR169p
AAGCCAAGGA
21
0.86
1946







TGACTTGCCT










G/1136









csi-miR169
GAGCCAAGAA
21
0.86
1947







TGACTTGCCG










A/1137









ama-miR169
AGCCAAGGAT
20
0.86
1948







GACTTGCCGA/










1138









vvi-miR169i
GAGCCAAGGA
21
0.86
1949







TGACTGGCCG










T/1139









vvi-miR169t
CGAGTCAAGG
21
0.86
1950







ATGACTTGCC










G/1140









vvi-miR169v
AAGCCAAGGA
21
0.86
1951







TGAATTGCCG










G/1141









gma-miR169c
AAGCCAAGGA
21
0.86
1952







TGACTTGCCG










A/1142









tcc-miR169n
TGAGTCAAGA
21
0.86
1953







ATGACTTGCC










G/1143









mtr-miR169f
AAGCCAAGGA
21
0.81
1954







TGACTTGCCT










A/1144









sbi-miR169j
TAGCCAAGGA
21
0.81
1955







TGACTTGCCG










G/1145









ptc-miR169y
TAGCCATGGA
21
0.81
1956







TGAATTGCCT










G/1146









sof-miR169
TAGCCAAGGA
21
0.81
1957







TGACTTGCCG










G/1147









hvu-miR169
AAGCCAAGGA
21
0.81
1958







TGAGTTGCCT










G/1148









ssp-miR169
TAGCCAAGGA
21
0.81
1959







TGACTTGCCG










G/1149









zma-miR169p
TAGCCAAGGA
21
0.81
2628







TGACTTGCCG










G/1150









osa-miR169e
TAGCCAAGGA
21
0.81
1961







TGACTTGCCG










G/1151









bdi-miR169b
TAGCCAAGGA
21
0.81
1962







TGACTTGCCG










G/1152









tcc-miR169f
AAGCCAAGAA
21
0.81
1963







TGACTTGCCT










G/1153









sly-miR169b
TAGCCAAGGA
21
0.76
1964







TGACTTGCCT










G/1154









bdi-miR169c
CAGCCAAGGA
21
0.76
1965







TGACTTGCCG










G/1155









ptc-miR169f
CAGCCAAGGA
21
0.76
1966







TGACTTGCCG










G/1156









osa-miR169l
TAGCCAAGGA
21
0.76
1967







TGACTTGCCT










G/1157









osa-miR169h
TAGCCAAGGA
21
0.76
1968







TGACTTGCCT










G/1158









ath-miR169k
TAGCCAAGGA
21
0.76
1969







TGACTTGCCT










G/1159









osa-miR169m
TAGCCAAGGA
21
0.76
1970







TGACTTGCCT










G/1160









ptc-miR169k
TAGCCAAGGA
21
0.76
1971







TGACTTGCCT










G/1161









ptc-miR169m
TAGCCAAGGA
21
0.76
1972







TGACTTGCCT










G/1162









ptc-miR169i
TAGCCAAGGA
21
0.76
1973







TGACTTGCCT










G/1163









ptc-miR169j
TAGCCAAGGA
21
0.76
1974







TGACTTGCCT










G/1164









ptc-miR169l
TAGCCAAGGA
21
0.76
1975







TGACTTGCCT










G/1165









osa-miR169k
TAGCCAAGGA
21
0.76
1976







TGACTTGCCT










G/1166









ath-miR169c
CAGCCAAGGA
21
0.76
1977







TGACTTGCCG










G/1167









osa-miR169j
TAGCCAAGGA
21
0.76
1978







TGACTTGCCT










G/1168









aly-miR169m
TAGCCAAGGA
21
0.76
1979







TGACTTGCCT










G/1169









ath-miR169h
TAGCCAAGGA
21
0.76
1980







TGACTTGCCT










G/1170









ptc-miR169e
CAGCCAAGGA
21
0.76
1981







TGACTTGCCG










G/1171









ghb-miR169a
TAGCCAAGGA
21
0.76
1982







TGACTTGCCT










G/1172









aqc-miR169b
TAGCCAAGGA
21
0.76
1983







TGACTTGCCT










G/1173









ath-miR169m
TAGCCAAGGA
21
0.76
1984







TGACTTGCCT










G/1174









aly-miR169h
TAGCCAAGGA
21
0.76
1985







TGACTTGCCT










G/1175









rco-miR169b
CAGCCAAGGA
21
0.76
1986







TGACTTGCCG










G/1176









aly-miR169l
TAGCCAAGGA
21
0.76
1987







TGACTTGCCT










G/1177









bna-miR169j
TAGCCAAGGA
22
0.76
1988







TGACTTGCCT










GC/1178









aly-miR169b
CAGCCAAGGA
21
0.76
1989







TGACTTGCCG










G/1179









vvi-miR169e
TAGCCAAGGA
22/21
0.76
1990







TGACTTGCCT










GC/1180/TAGC










CAAGGATGAC










TTGCCTG/1817









aly-miR169c
CAGCCAAGGA
21
0.76
1991







TGACTTGCCG










G/ 1181









osa-miR169i
TAGCCAAGGA
21
0.76
1992







TGACTTGCCT










G/1182









vvi-miR169w
CAGCCAAGGA
21
0.76
1993







TGACTTGCCG










G/1183









bdi-miR169g
TAGCCAAGGA
21
0.76
1994







TGACTTGCCT










G/1184









sly-miR169a
CAGCCAAGGA
21
0.76
1995







TGACTTGCCG










G/1185









bdi-miR169f
CAGCCAAGGA
21
0.76
1996







TGACTTGCCG










G/1186









vvi-miR169c
CAGCCAAGGA
21
0.76
1997







TGACTTGCCG










G/1187









tcc-miR169b
CAGCCAAGGA
21
0.76
1998







TGACTTGCCG










G/1188









zma-miR169j
TAGCCAAGGA
21
0.76
1999







TGACTTGCCT










G/1189









sbi-miR169g
TAGCCAAGGA
21
0.76
2000







TGACTTGCCT










G/1190









zma-miR169r
CAGCCAAGGA
21
0.76
2629







TGACTTGCCG










G/1191









zma-miR169i
TAGCCAAGGA
21
0.76
2002







TGACTTGCCT










G/1192









ath-miR169n
TAGCCAAGGA
21
0.76
2003







TGACTTGCCT










G/1193









ptc-miR169h
CAGCCAAGGA
21
0.76
2004







TGACTTGCCG










G/1194









mtr-miR169j
CAGCCAAGGA
21
0.76
2005







TGACTTGCCG










G/1195









ptc-miR169d
CAGCCAAGGA
21
0.76
2006







TGACTTGCCG










G/1196









ath-miR169j
TAGCCAAGGA
21
0.76
2007







TGACTTGCCT










G/1197









ptc-miR169g
CAGCCAAGGA
21
0.76
2008







TGACTTGCCG










G/1198









vvi-miR169j
CAGCCAAGGA
21
0.76
2009







TGACTTGCCG










G/1199









vvi-miR169k
CAGCCAAGGA
21
0.76
2010







TGACTTGCCG










G/1200









vvi-miR169a
CAGCCAAGGA
21
0.76
2011







TGACTTGCCG










G/1201









tcc-miR169l
CAGCCAAGGA
21
0.76
2012







TGACTTGCCG










G/1202









bna-miR169h
TAGCCAAGGA
22
0.76
2013







TGACTTGCCT










GC/1203









bna-miR169g
TAGCCAAGGA
22
0.76
2014







TGACTTGCCT










GC/1204









aly-miR169j
TAGCCAAGGA
21
0.76
2015







TGACTTGCCT










G/1205









rco-miR169a
CAGCCAAGGA
21
0.76
2016







TGACTTGCCG










G/1206









aly-miR169i
TAGCCAAGGA
21
0.76
2017







TGACTTGCCT










G/1207









ath-miR169i
TAGCCAAGGA
21
0.76
2018







TGACTTGCCT










G/1208









aly-miR169k
TAGCCAAGGA
21
0.76
2019







TGACTTGCCT










G/1209









osa-miR169c
CAGCCAAGGA
21
0.76
2020







TGACTTGCCG










G/1210









osa-miR169b
CAGCCAAGGA
21
0.76
2021







TGACTTGCCG










G/1211









vvi-miR169s
CAGCCAAGGA
21
0.76
2022







TGACTTGCCG










G/1212









bdi-miR169j
TAGCCAGGAA
21
0.76
2023







TGGCTTGCCT










A/1213









zma-miR169k
TAGCCAAGGA
21
0.76
2024







TGACTTGCCT










G/1214









sbi-miR169f
TAGCCAAGGA
21
0.76
2025







TGACTTGCCT










G/1215









bdi-miR169e
TAGCCAAGGA
21
0.76
2026







TGACTTGCCT










G/1216









ath-miR169b
CAGCCAAGGA
21
0.76
2027







TGACTTGCCG










G/1217









bna-miR169l
TAGCCAAGGA
22
0.76
2028







TGACTTGCCT










GC/1218









sbi-miR169k
CAGCCAAGGA
21
0.76
2029







TGACTTGCCG










G/1219









gso-miR169a
CAGCCAAGGA
21
0.76
2030







TGACTTGCCG










G/1220









gma-miR169p
CAGCCAAGGA
21
0.76
2031







TGACTTGCCG










G/1221









sbi-miR169b
CAGCCAAGGA
21
0.76
2032







TGACTTGCCG










G/1222









osa-miR169d
TAGCCAAGGA
21
0.76
2033







TGAATTGCCG










G/1223









zma-miR169c
CAGCCAAGGA
21
0.76
2034







TGACTTGCCG










G/1224









ath-miR169l
TAGCCAAGGA
21
0.76
2035







TGACTTGCCT










G/1225









mtr-miR169g
CAGCCAAGGA
21
0.76
2036







TGACTTGCCG










G/1226









phy-miR169
CAGCCAAGGA
21
0.76
2037







TGACTTGCCG










G/1227









tcc-miR169h
TAGCCAAGGA
21
0.76
2038







TGACTTGCCT










G/1228









tcc-miR169j
TAGCCAAGGA
21
0.76
2039







TGACTTGCCT










G/1229









bna-miR169i
TAGCCAAGGA
22
0.76
2040







TGACTTGCCT










GC/1230









aqc-miR169c
CAGCCAAGGA
21
0.76
2041







TGACTTGCCG










G/1231









tcc-miR169k
CAGCCAAGGA
21
0.76
2042







TGACTTGCCG










G/1232









gma-miR169a
CAGCCAAGGA
21
0.76
2043







TGACTTGCCG










G/1233









bna-miR169k
TAGCCAAGGA
22
0.76
2044







TGACTTGCCT










GC/1234









bna-miR169a
CAGCCAAGGA
21
0.71
2045







TGACTTGCCG










A/1235









sbi-miR169d
TAGCCAAGGA
21
0.71
2630







TGACTTGCCT










A/1236









sbi-miR169c
TAGCCAAGGA
21
0.71
2047







TGACTTGCCT










A/1237









bdi-miR169i
CCAGCCAAGA
22
0.71
2048







ATGGCTTGCC










TA/1238









ptc-miR169x
TAGCCAAGGA
21
0.71
2049







TGACTTGCTC










G/1239









bdi-miR169k
TAGCCAAGGA
22
0.71
2050







TGATTTGCCT










GT/1240









ptc-miR169q
TAGCCAAGGA
21
0.71
2051







CGACTTGCCT










G/1241









gma-miR169b
CAGCCAAGGA
21
0.71
2052







TGACTTGCCG










A/1242









zma-miR169a
CAGCCAAGGA
21
0.71
2053







TGACTTGCCG










A/1243









zma-miR169b
CAGCCAAGGA
21
0.71
2054







TGACTTGCCG










A/1244









tcc-miR169c
CAGCCAAGGA
21
0.71
2055







TGACTTGCCG










A/1245









tcc-miR169e
CAGCCAAGGA
21
0.71
2056







TGACTTGCCG










A/1246









tcc-miR169a
CAGCCAAGGA
21
0.71
2057







TGACTTGCCG










A/1247









sbi-miR169m
TAGCCAAGGA
21
0.71
2058







TGACTTGCCT










A/1248









bna-miR169e
TAGCCAAGGA
21
0.71
2631







TGACTTGCCT










A/1249









ath-miR169a
CAGCCAAGGA
21
0.71
2060







TGACTTGCCG










A/1250









bna-miR169b
CAGCCAAGGA
21
0.71
2061







TGACTTGCCG










A/1251









vvi-miR169x
TAGCCAAGGA
21
0.71
2062







TGACTTGCCT










A/1252









sly-miR169c
CAGCCAAGGA
21
0.71
2063







TGACTTGCCG










A/1253









bna-miR169f
TAGCCAAGGA
21
0.71
2064







TGACTTGCCT










A/1254









sbi-miR169n
TAGCCAAGGA
21
0.71
2065







TGACTTGCCT










A/1255









far-miR169
TAGCCAAGGA
21
0.71
2066







TGACTTGCCT










A/1256









bdi-miR169a
CAGCCAAGGA
21
0.71
2632







TGACTTGCCG










A/1257









osa-miR169f
TAGCCAAGGA
21
0.71
2068







TGACTTGCCT










A/1258









aqc-miR169a
TAGCCAAGGA
21
0.71
2069







TGACTTGCCT










A/1259









vvi-miR169f
CAGCCAAGGA
21
0.71
2070







TGACTTGCCG










A/1260









ata-miR169
TAGCCAAGGA
21
0.71
2071







TGAATTGCCA










G/1261









ptc-miR169r
TAGCCAAGGA
21
0.71
2072







TGACTTGCCT










A/1262









osa-miR169p
TAGCCAAGGA
22
0.71
2073







CAAACTTGCC










GG/1263









aly-miR169n
TAGCCAAAGA
21
0.71
2074







TGACTTGCCT










G/1264









bna-miR169d
TAGCCAAGGA
21
0.71
2075







TGACTTGCCT










A/1265









sly-miR169d
TAGCCAAGGA
21
0.71
2076







TGACTTGCCT










A/1266









vvi-miR169g
CAGCCAAGGA
21
0.71
2077







TGACTTGCCG










A/1267









bdi-miR169h
TAGCCAAGGA
21
0.71
2078







TGACTTGCCT










A/1268









osa-miR169g
TAGCCAAGGA
21
0.71
2079







TGACTTGCCT










A/1269









ptc-miR169w
TAGCCAAGGA
21
0.71
2080







TGACTTGCCC










A/1270









ptc-miR169v
TAGCCAAGGA
21
0.71
2081







TGACTTGCCC










A/1271









osa-miR169a
CAGCCAAGGA
21
0.71
2082







TGACTTGCCG










A/1272









zma-miR169t
CAGCCAAGGA
21
0.71
2083







TGACTTGCCG










A/1273









zma-miR169u
CAGCCAAGGA
21
0.71
2084







TGACTTGCCG










A/1274









sbi-miR169a
CAGCCAAGGA
21
0.71
2633







TGACTTGCCG










A/1275









ptr-miR169a
CAGCCAAGGA
21
0.71
2086







TGACTTGCCG










A/1276









zma-miR169s
CAGCCAAGGA
21
0.71
2087







TGACTTGCCG










A/1277









zma-miR169g
TAGCCAAGGA
21
0.71
2088







TGACTTGCCT










A/1278









zma-miR169h
TAGCCAAGGA
21
0.71
2089







TGACTTGCCT










A/1279









sbi-miR169o
TAGCCAAGGA
21
0.71
2090







TGATTTGCCT










G/1280









tcc-miR169d
TAGCCAAGGA
21
0.71
2091







TGACTTGCCT










A/1281









bna-miR169c
TAGCCAAGGA
21
0.71
2092







TGACTTGCCT










A/1282









psl-miR169
AGCCAAAAAT
20
0.71
2093







GACTTGCTGC/










1283









zma-miR169f
TAGCCAAGGA
21
0.71
2094







TGACTTGCCT










A/1284









ptc-miR169c
CAGCCAAGGA
21
0.71
2095







TGACTTGCCG










A/1285









ptc-miR169a
CAGCCAAGGA
21
0.71
2096







TGACTTGCCG










A/1286









ptc-miR169b
CAGCCAAGGA
21
0.71
2097







TGACTTGCCG










A/1287









tcc-miR169i
TAGCCAAGGA
21
0.71
2098







TGAGTTGCCT










G/1288









mtr-miR169b
CAGCCAAGGA
21
0.71
2099







TGACTTGCCG










A/1289









mtr-miR169a
CAGCCAAGGA
21
0.71
2100







TGACTTGCCG










A/1290









aly-miR169a
CAGCCAAGGA
21
0.71
2101







TGACTTGCCG










A/1291









ptc-miR169ac
TAGCCAAGGA
21
0.67
2102







CGACTTGCCC










A/1292









ptc-miR169z
CAGCCAAGAA
21
0.67
2103







TGATTTGCCG










G/1293









ptc-miR169ad
TAGCCAAGGA
21
0.67
2104







CGACTTGCCC










A/1294









sbi-miR169i
TAGCCAAGAA
21
0.67
2105







TGACTTGCCT










A/1295









tcc-miR169g
TAGCCAGGGA
21
0.67
2106







TGACTTGCCT










A/1296









vvi-miR169d
CAGCCAAGAA
21
0.67
2107







TGATTTGCCG










G/1297









ptc-miR169u
TAGCCAAGGA
21
0.67
2108







CGACTTGCCT










A/1298









ghr-miR169
ACGCCAAGGA
21
0.67
2109







TGTCTTGCGT










C/1299









mtr-miR169k
CAGCCAAGGG
21
0.67
2110







TGATTTGCCG










G/1300









ptc-miR169ae
TAGCCAAGGA
21
0.67
2111







CGACTTGCCC










A/1301









ptc-miR169ab
TAGCCAAGGA
21
0.67
2112







CGACTTGCCC










A/1302









osa-miR169n
TAGCCAAGAA
21
0.67
2113







TGACTTGCCT










A/1303









osa-miR169o
TAGCCAAGAA
21
0.67
2114







TGACTTGCCT










A/1304









vvi-miR169y
TAGCGAAGGA
21
0.67
2115







TGACTTGCCT










A/1305









ptc-miR169af
TAGCCAAGGA
21
0.67
2116







CGACTTGCCC










A/1306









ptr-miR169b
CAGCCAAGGA
21
0.67
2117







TGATTTGCCG










A/1307









bdi-miR169d
TAGCCAAGAA
21
0.67
2118







TGACTTGCCT










A/1308









sbi-miR169q
TAGCCAAGAA
21
0.62
2119







TGGCTTGCCT










A/1309









sbi-miR169p
TAGCCAAGAA
21
0.62
2120







TGGCTTGCCT










A/1310









ath-miR169g*
TCCGGCAAGT
21
0.62
2121







TGACCTTGGC










T/1311









mtr-miR169d
AAGCCAAGGA
21
0.90/
2634;







TGACTTGCCG

0.86
2122







G/ 1312;










AAGCCAAGGA6










TGACTTGCTG










G/ 1818









sbi-miR169e
TAGCCAAGGA
21
0.81/
2635;







TGACTTGCCG

0.76
2123







G/ 1313;










TAGCCAAGGA










TGACTTGCCT










G/ 1819









sbi-miR169l
TAGCCAAGGA
21
0.76/
2636;







TGACTTGCCT

0.52
2124







G/ 1314;










TAGCCAAGGA










GACTGCCTAT










G/ 1820









sbi-miR169h
TAGCCAAGGA
21
0.71/
2637;







TGACTTGCCT

0.76
2125







A/ 1315










TAGCCAAGGA










TGACTTGCCT










G/ 1821









zma-miR169o
TAGCCAAGAA
21
0.67/
2638;







TGACTTGCCT

0.81
2126







A/ 1316;










TAGCCAAGGA










TGACTTGCCG










G/ 1822









zma-miR169l
TAGCCAGGGA
21
0.67/
2639;







TGATTTGCCT

0.71
2127







G/ 1317;










TAGCCAAGGA










TGACTTGCCT










A/ 1823









mtr-miR169c
CAGCCAAGGG
21
0.67/
2640;







TGATTTGCCG

0.71
2128







G/ 1318;










TAGCCAAGGA










CAACTTGCCG










G/ 1824









zma-miR169q
TAGCCAAGAA
21
0.62/
2641;







TGGCTTGCCT

0.81
2129







A/ 1319;










TAGCCAAGGA










TGACTTGCCG










G/ 1825









zma-miR169n
TAGCCAAGAA
21
0.62/
2642;







TGGCTTGCCT

0.81
2130







A/ 1320;










TAGCCAAGGA










TGACTTGCCG










G/ 1826









zma-
TAGCCAAGAA
21
0.62/
2643;






miR169m
TGGCTTGCCT

0.71
2131







A/ 1321;










TAGCCAAGGA










TGACTTGCCT










A/ 1827








zma-
TGCCA
21
271
sbi-miR399k
TGCCAAAGGG
21
1
2132


miR39
AAGGG



GATTTGCCCG





9g
GATTT



G/1322






GCCCG


aly-miR399a
TGCCAAAGGA
21
0.95
2133



G/118



GATTTGCCCG










G/1323









aly-miR399h
TGCCAAAGGA
21
0.95
2134







GATTTGCCCG










G/1324









aly-miR399j
TGCCAAAGGA
21
0.95
2135







GATTTGCCCG










G/1325









ath-miR399f
TGCCAAAGGA
21
0.95
2136







GATTTGCCCG










G/1326









bna-miR399
TGCCAAAGGA
21
0.95
2137







GATTTGCCCG










G/1327









csi-miR399a
TGCCAAAGGA
21
0.95
2138







GATTTGCCCG










G/1328









ptc-miR399b
TGCCAAAGGA
21
0.95
2139







GATTTGCCCG










G/1329









ptc-miR399c
TGCCAAAGGA
21
0.95
2140







GATTTGCCCG










G/1330









rco-miR399b
TGCCAAAGGA
21
0.95
2141







GATTTGCCCG










G/1331









rco-miR399c
TGCCAAAGGA
21
0.95
2142







GATTTGCCCG










G/1332









tcc-miR399b
TGCCAAAGGA
21
0.95
2143







GATTTGCCCG










G/1333









tcc-miR399d
TGCCAAAGGA
21
0.95
2144







GATTTGCCCG










G/1334









vvi-miR399e
TGCCAAAGGA
21
0.95
2145







GATTTGCCCG










G/1335









aly-miR399d
TGCCAAAGGA
21
0.9
2146







GATTTGCCCC










G/1336









aly-miR399f
TGCCAAAGGA
21
0.9
2147







GATTTGCCCT










G/1337









aly-miR399g
TGCCAAAGGA
21
0.9
2148







GATTTGCCCC










G/1338









aly-miR399i
TGCCAAAGGA
21
0.9
2149







GATTTGCCCC










G/1339









ath-miR399a
TGCCAAAGGA
21
0.9
2150







GATTTGCCCT










G/1340









ath-miR399d
TGCCAAAGGA
21
0.9
2151







GATTTGCCCC










G/1341









ghr-miR399d
TGCCAAAGGA
21
0.9
2152







GATTTGCCCT










G/1342









hvu-miR399
TGCCAAAGGA
21
0.9
2153







GATTTGCCCC










G/1343









mtr-miR399a
TGCCAAAGGA
21
0.9
2154







GATTTGCCCA










G/1344









mtr-miR399c
TGCCAAAGGA
21
0.9
2155







GATTTGCCCT










G/1345









mtr-miR399e
TGCCAAAGGA
21
0.9
2156







GATTTGCCCA










G/1346









mtr-miR399f
TGCCAAAGGA
21
0.9
2157







GATTTGCCCA










G/1347









mtr-miR399g
TGCCAAAGGA
21
0.9
2158







GATTTGCCCA










G/1348









mtr-miR399h
TGCCAAAGGA
21
0.9
2159







GATTTGCCCT










G/1349









mtr-miR399i
TGCCAAAGGA
21
0.9
2160







GATTTGCCCT










G/1350









osa-miR399e
TGCCAAAGGA
21
0.9
2161







GATTTGCCCA










G/1351









osa-miR399f
TGCCAAAGGA
21
0.9
2162







GATTTGCCCA










G/1352









osa-miR399g
TGCCAAAGGA
21
0.9
2163







GATTTGCCCA










G/1353









ptc-miR399a
TGCCAAAGGA
21
0.9
2164







GATTTGCCCC










G/1354









ptc-miR399j
TGCCAAAGGA
21
0.9
2165







GATTTGTCCG










G/1355









rco-miR399e
TGCCAAAGGA
21
0.9
2166







GATTTGCCCA










G/1356









sbi-miR399e
TGCCAAAGGA
21
0.9
2167







GATTTGCCCA










G/1357









sbi-miR399f
TGCCAAAGGA
21
0.9
2168







GATTTGCCCA










G/1358









tcc-miR399h
TGCCAAAGGA
21
0.9
2169







GATTTGCCCC










G/1359









aly-miR399b
TGCCAAAGGA
21
0.86
2170







GAGTTGCCCT










G/1360









aly-miR399c
TGCCAAAGGA
21
0.86
2171







GAGTTGCCCT










G/1361









aly-miR399e
TGCCAAAGGA
21
0.86
2172







GATTTGCCTC










G/1362









ath-miR399b
TGCCAAAGGA
21
0.86
2173







GAGTTGCCCT










G/1363









ath-miR399c
TGCCAAAGGA
21
0.86
2174







GAGTTGCCCT










G/1364









ath-miR399e
TGCCAAAGGA
21
0.86
2175







GATTTGCCTC










G/1365









bdi-miR399b
TGCCAAAGGA
21
0.86
2176







GAATTGCCCT










G/1366









csi-miR399c
TGCCAAAGGA
21
0.86
2177







GAATTGCCCT










G/1367









csi-miR399d
TGCCAAAGGA
21
0.86
2178







GAGTTGCCCT










G/1368









csi-miR399e
TGCCAAAGGA
21
0.86
2179







GAATTGCCCT










G/1369









mtr-miR399k
TGCCAAAGAA
21
0.86
2180







GATTTGCCCT










G/1370









mtr-miR399l
TGCCAAAGGA
21
0.86
2181







GAGTTGCCCT










G/1371









mtr-miR399p
TGCCAAAGGA
21
0.86
2182







GAGTTGCCCT










G/1372









osa-miR399a
TGCCAAAGGA
21
0.86
2183







GAATTGCCCT










G/1373









osa-miR399b
TGCCAAAGGA
21
0.86
2184







GAATTGCCCT










G/1374









osa-miR399c
TGCCAAAGGA
21
0.86
2185







GAATTGCCCT










G/1375









osa-miR399d
TGCCAAAGGA
21
0.86
2186







GAGTTGCCCT










G/1376









osa-miR399h
TGCCAAAGGA
21
0.86
2187







GACTTGCCCA










G/1377









osa-miR399k
TGCCAAAGGA
21
0.86
2188







AATTTGCCCC










G/1378









ptc-miR399d
TGCCAAAGAA
21
0.86
2189







GATTTGCCCC










G/1379









ptc-miR399e
TGCCAAAGAA
21
0.86
2190







GATTTGCCCC










G/1380









ptc-miR399f
TGCCAAAGGA
21
0.86
2191







GAATTGCCCT










G/1381









ptc-miR399g
TGCCAAAGGA
21
0.86
2192







GAATTGCCCT










G/1382









pvu-miR399a
TGCCAAAGGA
21
0.86
2193







GAGTTGCCCT










G/1383









rco-miR399a
TGCCAAAGGA
21
0.86
2194







GAGTTGCCCT










G/1384









sbi-miR399a
TGCCAAAGGA
21
0.86
2195







GAATTGCCCT










G/1385









sbi-miR399c
TGCCAAAGGA
21
0.86
2196







GAATTGCCCT










G/1386









sbi-miR399d
TGCCAAAGGA
21
0.86
2197







GAGTTGCCCT










G/1387









sbi-miR399g
TGCCAAAGGA
21
0.86
2198







AATTTGCCCC










G/1388









sbi-miR399h
TGCCAAAGGA
21
0.86
2199







GAATTGCCCT










G/1389









sbi-miR399i
TGCCAAAGGA
21
0.86
2200







GAGTTGCCCT










G/1390









sbi-miR399j
TGCCAAAGGA
21
0.86
2201







GAATTGCCCT










G/1391









tcc-miR399c
TGCCAATGGA
21
0.86
2202







GATTTGCCCA










G/1392









tcc-miR399f
TGCCAGAGGA
21
0.86
2203







GATTTGCCCT










G/1393









tcc-miR399g
TGCCAAAGGA
21
0.86
2204







GAATTGCCCT










G/1394









tcc-miR399i
TGCCAAAGGA
21
0.86
2205







GAGTTGCCCT










G/1395









vvi-miR399a
TGCCAAAGGA
21
0.86
2206







GAATTGCCCT










G/1396









vvi-miR399b
TGCCAAAGGA
21
0.86
2207







GAGTTGCCCT










G/1397









vvi-miR399c
TGCCAAAGGA
21
0.86
2208







GAGTTGCCCT










G/1398









vvi-miR399d
TGCCAAAGGA
21
0.86
2209







GATTTGCTCG










T/1399









vvi-miR399g
TGCCAAAGGA
21
0.86
2210







GATTTGCCCC










T/1400









vvi-miR399h
TGCCAAAGGA
21
0.86
2211







GAATTGCCCT










G/1401









zma-miR399a
TGCCAAAGGA
21
0.86
2212







GAATTGCCCT










G/1402









zma-miR399c
TGCCAAAGGA
21
0.86
2213







GAATTGCCCT










G/1403









zma-miR399e
TGCCAAAGGA
21
0.86
2214







GAGTTGCCCT










G/1404









zma-miR399f
TGCCAAAGGA
21
0.86
2215







AATTTGCCCC










G/1405









zma-miR399h
TGCCAAAGGA
21
0.86
2216







GAATTGCCCT










G/1406









zma-miR399i
TGCCAAAGGA
21
0.86
2217







GAGTTGCCCT










G/1407









zma-miR399j
TGCCAAAGGA
21
0.86
2218







GAGTTGCCCT










G/1408









aqc-miR399
TGCCAAAGGA
21
0.81
2219







GAGTTGCCCT










A/1409









bdi-miR399
TGCCAAAGGA
21
0.81
2220







GAATTACCCT










G/1410









csi-miR399b
TGCCAAAGGA
21
0.81
2221







GAGTTGCCCT










A/1411









ghr-miR399a
CGCCAATGGA
21
0.81
2222







GATTTGTCCG










G/1412









ghr-miR399b
CGCCAATGGA
21
0.81
2223







GATTTGTCCG










G/1413









mtr-miR399b
TGCCAAAGGA
21
0.81
2224







GAGCTGCCCT










G/1414









mtr-miR399j
CGCCAAAGAA
21
0.81
2225







GATTTGCCCC










G/1415









mtr-miR399o
TGCCAAAGGA
21
0.81
2226







GAGCTGCCCT










G/1416









osa-miR399i
TGCCAAAGGA
21
0.81
2227







GAGCTGCCCT










G/1417









osa-miR399j
TGCCAAAGGA
21
0.81
2228







GAGTTGCCCT










A/1418









ptc-miR399h
TGCCAAAGGA
21
0.81
2229







GAGTTTCCCT










G/1419









ptc-miR399i
TGCCAAAGGA
21
0.81
2230







GAGTTGCCCT










A/1420









ptc-miR399k
TGCCAAAGGA
21
0.81
2231







GATTTGCTCA










C/1421









rco-miR399d
TGCCAAAGGA
21
0.81
2232







GAGCTGCCCT










G/1422









rco-miR399f
TGCCAAAGGA
21
0.81
2233







GATTTGCTCA










C/1423









sbi-miR399b
TGCCAAAGGA
21
0.81
2234







GAGCTGCCCT










G/1424









sly-miR399
TGCCAAAGGA
21
0.81
2235







GAGTTGCCCT










A/1425









tae-miR399
TGCCAAAGGA
19
0.81
2236







GAATTGCCC/










1426









tcc-miR399a
CGCCAAAGGA
21
0.81
2237







GAGTTGCCCT










G/1427









tcc-miR399e
CGCCAAAGGA
21
0.81
2238







GAATTGCCCT










G/1428









vvi-miR399f
TGCCGAAGGA
21
0.81
2239







GATTTGTCCT










G/1429









vvi-miR399i
CGCCAAAGGA
21
0.81
2240







GAGTTGCCCT










G/1430









zma-miR399d
TGCCAAAGGA
21
0.81
2241







GAGCTGCCCT










G/1431









ghr-miR399c
TGCCAAAGGA
21
0.76
2242







GAGTTGGCCT










T/1432









mtr-miR399d
TGCCAAAGGA
21
0.76
2243







GAGCTGCCCT










A/1433









mtr-miR399m
TGCCAAAGGA
21
0.76
2244







GAGCTGCCCT










A/1434









mtr-miR399n
TGCCAAAGGA
21
0.76
2245







GAGCTGCCCT










A/1435









ptc-miR399l
CGCCAAAGGA
21
0.76
2246







GAGTTGCCCT










C/1436









zma-miR399b
TGCCAAAGGA
21
0.76
2247







GAGCTGTCCT










G/1437









mtr-miR399q
TGCCAAAGGA
21
0.71
2248







GAGCTGCTCT










T/1438








Predicted
TGGAA
21

bdi-miR528
TGGAAGGGGC
21
0.9
2249


zma
GGGCC



ATGCAGAGGA





mir
ATGCC



G/1439





49816
GAGGA


osa-miR528
TGGAAGGGGC
21
0.9
2250



G/105



ATGCAGAGGA










G/1440









sbi-miR528
TGGAAGGGGC
21
0.9
2251







ATGCAGAGGA










G/1441









ssp-miR528
TGGAAGGGGC
21
0.9
2252







ATGCAGAGGA










G/1442









zma-miR528a
TGGAAGGGGC
21
0.9
2253







ATGCAGAGGA










G/1443









zma-miR528b
TGGAAGGGGC
21
0.9
2254







ATGCAGAGGA










G/1444








aqc-
AGAAG
21
260
ppt-miR529d
AGAAGAGAG
21
0.95
2255


miR529
AGAGA



AGAGCACAGC






GAGCA



CC/1445






CAACC


ppt-miR529a
CGAAGAGAGA
21
0.9
2256



C/58



GAGCACAGCC










C/1446









ppt-miR529b
CGAAGAGAGA
21
0.9
2257







GAGCACAGCC










C/1447









ppt-miR529c
CGAAGAGAGA
21
0.9
2258







GAGCACAGCC










C/1448









ppt-miR529e
AGAAGAGAG
21
0.9
2259







AGAGTACAGC










CC/1449









ppt-miR529f
AGAAGAGAG
21
0.9
2260







AGAGTACAGC










CC/1450









bdi-miR529
AGAAGAGAG
21
0.86
2261







AGAGTACAGC










CT/1451









far-miR529
AGAAGAGAG
21
0.86
2262







AGAGCACAGC










TT/1452









ppt-miR529g
CGAAGAGAGA
21
0.86
2263







GAGCACAGTC










C/1453









zma-miR529
AGAAGAGAG
21
0.86
2264







AGAGTACAGC










CT/1454









osa-miR529b
AGAAGAGAG
21
0.81
2265







AGAGTACAGC










TT/1455





Table 6: Provided are homologues/orthologs of the miRNAs described in Table 2 above along with the sequence identifiers and the degree of sequence identity.













TABLE 7







Summary of Homologs/Orthologs of miRs 395, 397 and 398


















Stem-




Hom.





loop




Stem-





sequence/




loop


Small
Mature

SEQ




SEQ


RNA
SEQ ID
Mir
ID

Hom. SEQ ID
Homo.

ID


Name
NO:
length
NO:
Hom. Name
NO:
length
Identity
NO:





mtr-
ATGAAG
21
263







miR395c
TGTTTGG










GGGAAC










TC/62












osa-
GTGAAG
21
264







miR395m
TGTTTGG










GGGAAC










TC/63












zma
TCATTGA
21
268,







miR397a
GCGCAG

269








CGTTGAT










G/116












zma-
GGGGCG
21
270







miR398b*
GACTGG










GAACAC










ATG/117












zma-
GGGGCG
21
270
zma-
1027
21
0.9
1837


miR398b*
GACTGG


miR398a*







GAACAC


aly-
1028
21
0.71
1838



ATG/117


miR398c*










bdi-
1029
22
0.71
1839






miR398b










aly-
1030
21
0.67
1840






miR398b*










aly-
1031
21
0.62
1841






miR398a*









osa-
GTGAAG
21
264
zma-
1828;
21
1.00/
2644


miR395m
TGTTTGG


miR395e
1456

0.95




GGGAAC


zma-
1829;
21/20
1.00/
2645



TC/63


miR395d
1457

0.90







zma-
1830;
21
1.00/
2646






miR395f
1458

0.90







osa-
1459
21
1
2269






miR395b










osa-
1460
21
1
2270






miR395d










osa-
1461
21
1
2271






miR395e










osa-
1462
21
1
2272






miR395g










osa-
1463
21
1
2273






miR395h










osa-
1464
21
1
2274






miR395i










osa-
1465
21
1
2275






miR395j










osa-
1466
21
1
2276






miR395k










osa-
1467
21
1
2277






miR395l










osa-
1468
21
1
2278






miR395n










osa-
1469
21
1
2279






miR395p










osa-
1470
21
1
2280






miR395q










osa-
1471
21
1
2281






miR395r










osa-
1472
21
1
2282






miR395s










osa-
1473
21
1
2283






miR395y










sbi-
1474
21
1
2284






miR395a










sbi-
1475
21
1
2285






miR395b










sbi-
1476
21
1
2647






miR395c










sbi-
1477
21
1
2648






miR395d










sbi-
1478
21
1
2288






miR395e










sbi-
1479
21
1
2289






miR395g










sbi-
1480
21
1
2290






miR395h










sbi-
1481
21
1
2291






miR395i










sbi-
1482
21
1
2292






miR395j










tae-
1483
21
1
2293






miR395a










zma-
1484
21
1
2294






miR395a










zma-
1485
21
1
2295






miR395b










zma-
1486
21
1
2296






miR395g










zma-
1487
21
1
2297






miR395h










zma-
1488
21
1
2298






miR395i










zma-
1489
21
1
2299






miR395j










zma-
1490
21
1
2300






miR395n










zma-
1491
21
1
2301






miR395p










aly-
1492
21
0.95
2302






miR395d










aly-
1493
21
0.95
2303






miR395e










aly-
1494
21
0.95
2304






miR395g










ath-
1495
21
0.95
2305






miR395a










ath-
1496
21
0.95
2306






miR395d










ath-
1497
21
0.95
2307






miR395e










bdi-
1498
20
0.95
2308






miR395a










bdi-
1499
20
0.95
2309






miR395b










bdi-
1500
20
0.95
2310






miR395c










bdi-
1501
20
0.95
2311






miR395e










bdi-
1502
20
0.95
2312






miR395f










bdi-
1503
20
0.95
2313






miR395g










bdi-
1504
20
0.95
2314






miR395h










bdi-
1505
20
0.95
2315






miR395i










bdi-
1506
20
0.95
2316






miR395j










bdi-
1507
20
0.95
2317






miR395k










bdi-
1508
20
0.95
2318






miR395l










bdi
1509
20
0.95
2319






miR395m










bdi-
1510
20
0.95
2320






miR395n










csi-
1511
21
0.95
2321






miR395










ghr-
1512
21
0.95
2322






miR395d










gma-
1513
21
0.95
2323






miR395










mtr-
1514
21
0.95
2324






miR395a










mtr-
1515
21
0.95
2325






miR395c










mtr-
1516
21
0.95
2326






miR395d










mtr-
1517
21
0.95
2327






miR395e










mtr-
1518
21
0.95
2328






miR395f










mtr-
1519
21
0.95
2329






miR395g










mtr-
1520
21
0.95
2330






miR395i










mtr-
1521
21
0.95
2331






miR395j










mtr-
1522
21
0.95
2332






miR395k










mtr-
1523
21
0.95
2333






miR395l










mtr-
1524
21
0.95
2334






miR395m










mtr-
1525
21
0.95
2335






miR395n










mtr-
1526
21
0.95
2336






miR395o










mtr-
1527
21
0.95
2337






miR395q










mtr-
1528
21
0.95
2338






miR395r










osa-
1529
21
0.95
2339






miR395a










osa-
1530
21
0.95
2340






miR395c










osa-
1531
21
0.95
2341






miR395f










osa-
1532
21
0.95
2342






miR395t










ptc-
1533
21
0.95
2343






miR395b










ptc-
1534
21
0.95
2344






miR395c










ptc-
1535
21
0.95
2345






miR395d










ptc-
1536
21
0.95
2346






miR395e










ptc-
1537
21
0.95
2347






miR395f










ptc-
1538
21
0.95
2348






miR395g










ptc-
1539
21
0.95
2349






miR395h










ptc-
1540
21
0.95
2350






miR395i










ptc-
1541
21
0.95
2351






miR395j










rco-
1542
21
0.95
2352






miR395a










rco-
1543
21
0.95
2353






miR395b










rco-
1544
21
0.95
2354






miR395c










rco-
1545
21
0.95
2355






miR395d










rco-
1546
21
0.95
2356






miR395e










sbi-
1547
21
0.95
2357






miR395f










sbi-
1548
21
0.95
2358






miR395k










sbi-
1549
21
0.95
2359






miR395l










sde-
1550
21
0.95
2360






miR395










sly-
1551
22
0.95
2361






miR395a










sly-
1552
22
0.95
2362






miR395b










tae-
1553
20
0.95
2363






miR395b










tcc-
1554
21
0.95
2364






miR395a










tcc-
1555
21
0.95
2365






miR395b










vvi-
1556
21
0.95
2366






miR395a










vvi-
1557
21
0.95
2367






miR395b










vvi-
1558
21
0.95
2368






miR395c










vvi-
1559
21
0.95
2369






miR395d










vvi-
1560
21
0.95
2370






miR395e










vvi-
1561
21
0.95
2371






miR395f










vvi-
1562
21
0.95
2372






miR395g










vvi-
1563
21
0.95
2373






miR395h










vvi-
1564
21
0.95
2374






miR395i










vvi-
1565
21
0.95
2375






miR395j










vvi-
1566
21
0.95
2376






miR395k










vvi-
1567
21
0.95
2377






miR395l










vvi-
1568
21
0.95
2378






miR395m










zma-
1569
21
0.95
2379






miR395c










zma-
1570
21
0.95
2380






miR395l










zma-
1571
21
0.95
2381






miR395m










zma-
1572
21
0.95
2382






miR395o










aly-
1573
21
0.9
2383






miR395b










aly-
1574
21
0.9
2384






miR395f










aly-
1575
21
0.9
2385






miR395h










aly-
1576
21
0.9
2386






miR395i










ath-
1577
21
0.9
2387






miR395b










ath-
1578
21
0.9
2388






miR395c










ath-
1579
21
0.9
2389






miR395f










ghr-
1580
21
0.9
2390






miR395a










mtr-
1581
21
0.9
2391






miR395b










mtr-
1582
21
0.9
2392






miR395h










mtr-
1583
21
0.9
2393






miR395p










osa-
1584
20
0.9
2394






miR395a.2










osa-
1585
21
0.9
2395






miR395o










osa-
1586
21
0.9
2396






miR395u










osa-
1587
21
0.9
2397






miR395v










zma-
1588
21
0.9
2398






miR395k










aly-
1589
21
0.86
2399






miR395c










aqc-
1590
21
0.86
2400






miR395a










aqc-
1591
21
0.86
2401






miR395b










ghr-
1592
21
0.86
2402






miR395c










osa-
1593
21
0.86
2403






miR395x










pab-
1594
21
0.86
2404






miR395










ptc-
1595
21
0.86
2405






miR395a










bdi-
1596
21
0.81
2406






miR395d










osa-
1597
22
0.81
2407






miR395w










vvi-
1598
21
0.81
2408






miR395n










ppt-
1599
20
0.76
2409






miR395









Predicted
TGTGTTC
21

zma-
1831
21
1.00/
2649;


zma
TCAGGT


miR398a


0.95
2410


mir
CGCCCC


sbi-
1601
21
1
2411


50266
CG/110


miR398










tae-
1602
21
1
2412






miR398










zma-
1603
21
1
2650






miR398b










zma-
1604
21
1
2414






miR398c










aqc-
1605
21
0.95
2415






miR398b










bdi-
1606
21
0.95
2416






miR398a










bdi-
1607
21
0.95
2417






miR398c










mtr-
1608
21
0.95
2418






miR398b










mtr-
1609
21
0.95
2419






miR398c










osa-
1610
21
0.95
2420






miR398b










ptc-
1611
21
0.95
2421






miR398b










ptc-
1612
21
0.95
2422






miR398c










rco-
1613
21
0.95
2423






miR398b










tcc-
1614
21
0.95
2424






miR398a










vvi-
1615
21
0.95
2425






miR398b










vvi-
1616
21
0.95
2426






miR398c










mtr-
1832
21
0.86/
2651






miR398a


0.95







aly-
1618
21
0.9
2428






miR398b










aly-
1619
23
0.9
2429






miR398c










ath-
1620
21
0.9
2430






miR398b










ath-
1621
21
0.9
2431






miR398c










ahy-
1622
20
0.86
2432






miR398










aly-
1623
21
0.86
2433






miR398a










aqc
1624
21
0.86
2434






miR398a










ath-
1625
21
0.86
2435






miR398a










bol
1626
21
0.86
2436






miR398a










csi-
1627
21
0.86
2437






miR398










ghr-
1628
21
0.86
2652






miR398










gma-
1629
21
0.86
2439






miR398a










gma-
1630
21
0.86
2440






miR398b










gra-
1631
21
0.86
2441






miR398










osa-
1632
21
0.86
2442






miR398a










ptc-
1633
21
0.86
2443






miR398a










rco-
1634
21
0.86
2444






miR398a










tcc-
1635
21
0.86
2445






miR398b










vvi-
1636
21
0.86
2446






miR398a










pta-
1637
21
0.81
2447






miR398









zma-
TCATTGA
21
269
zma-
1638
21
1
2653


miR397a
GCGCAG


miR397b







CGTTGAT


aly-
1639
21
0.95
2449



G/116


miR397a










aly-
1640
21
0.95
2450






miR397b










ath-
1641
21
0.95
2451






miR397a










bdi
1642
21
0.95
2452






miR397










bdi
1643
21
0.95
2453






miR397a










bna-
1644
22
0.95
2454






miR397a










bna-
1645
22
0.95
2455






miR397b










csi-
1646
21
0.95
2456






miR397










osa-
1647
21
0.95
2457






miR397a










ptc-
1648
21
0.95
2458






miR397a










rco-
1649
21
0.95
2459






miR397










sbi-
1650
21
0.95
2460






miR397










tcc-
1651
21
0.95
2461






miR397










vvi-
1652
21
0.95
2462






miR397a










vvi-
1653
21
0.95
2463






miR397b










ath-
1654
21
0.9
2464






miR397b










osa-
1655
21
0.9
2465






miR397b










pab-
1656
21
0.9
2466






miR397










ptc-
1657
21
0.9
2467






miR397b










sly-
1833
20
0.86/
2468






miR397


0.81







bdi-
1659
21
0.86
2469






miR397b










ghr-
1660
22
0.86
2470






miR397a










hvu-
1661
21
0.86
2471






miR397










ptc-
1662
21
0.86
2472






miR397c










osa-
1663
21
0.81
2473






miR397a.2










osa-
1664
21
0.81
2474






miR397b.2










ghr-
1665
21
0.76
2475






miR397b









mtr-
ATGAAG
21
263
gma-
1666
21
1
2476


miR395c
TGTTTGG


miR395







GGGAAC


mtr-
1667
21
1
2477



TC/62


miR395a










mtr-
1668
21
1
2478






miR395d










mtr-
1669
21
1
2479






miR395e










mtr-
1670
21
1
2480






miR395f










mtr-
1671
21
1
2481






miR395i










mtr-
1672
21
1
2482






miR395j










mtr-
1673
21
1
2483






miR395k










mtr-
1674
21
1
2484






miR395l










mtr-
1675
21
1
2485






miR395m










mtr-
1676
21
1
2486






miR395n










mtr-
1677
21
1
2487






miR395o










mtr-
1678
21
1
2488






miR395q










mtr-
1679
21
1
2489






miR395r










sbi-
1680
21
1
2490






miR395f










zma-
1834
21
0.95/
2654;






miR395e


0.90
2491






zma-
1835
21/20
0.95/
2655;






miR395d


0.86
2492






zma-
1836
21
0.95/
2656;






miR395f


0.86
2493






aly-
1684
21
0.95
2494






miR395d










aly-
1685
21
0.95
2495






miR395e










aly-
1686
21
0.95
2496






miR395g










ath-
1687
21
0.95
2497






miR395a










ath-
1688
21
0.95
2498






miR395d










ath-
1689
21
0.95
2499






miR395e










bdi-
1690
20
0.95
2500






miR395a










bdi-
1691
20
0.95
2501






miR395b










bdi-
1692
20
0.95
2502






miR395c










bdi-
1693
20
0.95
2503






miR395e










bdi-
1694
20
0.95
2504






miR395f










bdi-
1695
20
0.95
2505






miR395g










bdi-
1696
20
0.95
2506






miR395h










bdi-
1697
20
0.95
2507






miR395i










bdi-
1698
20
0.95
2508






miR395j










bdi-
1699
20
0.95
2509






miR395k










bdi-
1700
20
0.95
2510






miR395l










bdi-
1701
20
0.95
2511






miR395m










bdi-
1702
20
0.95
2512






miR395n










csi-
1703
21
0.95
2513






miR395










ghr-
1704
21
0.95
2514






miR395d










mtr-
1705
21
0.95
2515






miR395b










mtr-
1706
21
0.95
2516






miR395g










mtr-
1707
21
0.95
2517






miR395h










osa-
1708
21
0.95
2518






miR395b










osa-
1709
21
0.95
2519






miR395d










osa-
1710
21
0.95
2520






miR395e










osa-
1711
21
0.95
2521






miR395g










osa-
1712
21
0.95
2522






miR395h










osa-
1713
21
0.95
2523






miR395i










osa-
1714
21
0.95
2524






miR395j










osa-
1715
21
0.95
2525






miR395k










osa-
1716
21
0.95
2526






miR395l










osa-
1717
21
0.95
2527






miR395m










osa-
1718
21
0.95
2528






miR395n










osa-
1719
21
0.95
2529






miR395o










osa-
1720
21
0.95
2530






miR395p










osa-
1721
21
0.95
2531






miR395q










osa-
1722
21
0.95
2532






miR395r










osa-
1723
21
0.95
2533






miR395s










osa-
1724
21
0.95
2534






miR395y










ptc-
1725
21
0.95
2535






miR395b










ptc-
1726
21
0.95
2536






miR395c










ptc-
1727
21
0.95
2537






miR395d










ptc-
1728
21
0.95
2538






miR395e










ptc-
1729
21
0.95
2539






miR395f










ptc-
1730
21
0.95
2540






miR395g










ptc-
1731
21
0.95
2541






miR395h










ptc-
1732
21
0.95
2542






miR395i










ptc-
1733
21
0.95
2543






miR395j










rco-
1734
21
0.95
2544






miR395a










rco-
1735
21
0.95
2545






miR395b










rco-
1736
21
0.95
2546






miR395c










rco-
1737
21
0.95
2547






miR395d










rco-
1738
21
0.95
2548






miR395e










sbi-
1739
21
0.95
2549






miR395a










sbi-
1740
21
0.95
2550






miR395b










sbi-
1741
21
0.95
2657






miR395c










sbi-
1742
21
0.95
2658






miR395d










sbi-
1743
21
0.95
2553






miR395e










sbi-
1744
21
0.95
2554






miR395g










sbi-
1745
21
0.95
2555






miR395h










sbi-
1746
21
0.95
2556






miR395i










sbi-
1747
21
0.95
2557






miR395j










sde-
1748
21
0.95
2558






miR395










sly-
1749
22
0.95
2559






miR395a










sly-
1750
22
0.95
2560






miR395b










tae-
1751
21
0.95
2561






miR395a










tae-
1752
20
0.95
2562






miR395b










tcc-
1753
21
0.95
2563






miR395a










tcc-
1754
21
0.95
2564






miR395b










vvi-
1755
21
0.95
2565






miR395a










vvi-
1756
21
0.95
2566






miR395b










vvi-
1757
21
0.95
2567






miR395c










vvi-
1758
21
0.95
2568






miR395d










vvi-
1759
21
0.95
2569






miR395e










vvi-
1760
21
0.95
2570






miR395f










vvi-
1761
21
0.95
2571






miR395g










vvi-
1762
21
0.95
2572






miR395h










vvi-
1763
21
0.95
2573






miR395i










vvi-
1764
21
0.95
2574






miR395j










vvi-
1765
21
0.95
2575






miR395k










vvi-
1766
21
0.95
2576






miR395l










vvi-
1767
21
0.95
2577






miR395m










zma-
1768
21
0.95
2578






miR395a










zma-
1769
21
0.95
2579






miR395b










zma-
1770
21
0.95
2580






miR395g










zma-
1771
21
0.95
2581






miR395h










zma-
1772
21
0.95
2582






miR395i










zma-
1773
21
0.95
2583






miR395j










zma-
1774
21
0.95
2584






miR395n










zma-
1775
21
0.95
2585






miR395p










aly-
1776
21
0.9
2586






miR395b










aly-
1777
21
0.9
2587






miR395f










aly-
1778
21
0.9
2588






miR395h










aly-
1779
21
0.9
2589






miR395i










ath-
1780
21
0.9
2590






miR395b










ath-
1781
21
0.9
2591






miR395c










ath-
1782
21
0.9
2592






miR395f










ghr-
1783
21
0.9
2593






miR395a










mtr-
1784
21
0.9
2594






miR395p










osa-
1785
21
0.9
2595






miR395a










osa-
1786
20
0.9
2596






miR395a.2










osa-
1787
21
0.9
2597






miR395c










osa-
1788
21
0.9
2598






miR395f










osa-
1789
21
0.9
2599






miR395t










sbi-
1790
21
0.9
2600






miR395k










sbi-
1791
21
0.9
2601






miR395l










zma-
1792
21
0.9
2602






miR395c










zma-
1793
21
0.9
2603






miR395l










zma-
1794
21
0.9
2604






miR395m










zma-
1795
21
0.9
2605






miR395o










aly-
1796
21
0.86
2606






miR395c










aqc-
1797
21
0.86
2607






miR395a










aqc-
1798
21
0.86
2608






miR395b










ghr-
1799
21
0.86
2609






miR395c










osa-
1800
21
0.86
2610






miR395u










osa-
1801
21
0.86
2611






miR395v










pab-
1802
21
0.86
2612






miR395










ptc-
1803
21
0.86
2613






miR395a










zma-
1804
21
0.86
2614






miR395k










bdi-
1805
21
0.81
2615






miR395d










osa-
1806
21
0.81
2616






miR395x










vvi-
1807
21
0.81
2617






miR395n










osa-
1808
22
0.76
2618






miR395w










ppt-
1809
20
0.76
2619






miR395









Predicted
CATGTGT
21

zma-
 239
21
0.95
 310


siRNA
TCTCAG


miR398a*






55413
GTCGCC


aqc-
 240
21
0.9
 311



CC/200


miR398b










bdi-
 241
21
0.9
 312






miR398a










bdi-
 242
21
0.9
 313






miR398c










mtr-
 243
21
0.9
 314






miR398b










mtr-
 244
21
0.9
 315






miR398c










osa-
 245
21
0.9
 316






miR398b










ptc-
 246
21
0.9
 317






miR398b










ptc-
 247
21
0.9
 318






miR398c










rco-
 248
21
0.9
 319






miR398b










sbi-
 249
21
0.9
 320






miR398










tae-
 250
21
0.9
 321






miR398










tcc-
 251
21
0.9
 322






miR398a










vvi-
 252
21
0.9
 323






miR398b










vvi-
 253
21
0.9
 324






miR398c










zma-
 254
21
0.9
 325






miR398a










zma-
 255
21
0.9
 326






miR398b





Table 7: Provided are the sequences of miRNAs 395, 397 and 398, and their homologues/orthologs along with the stem-loop sequences, sequence identifiers and the degree of sequence identity. “1” - 100%.






Example 3
Verification of Expression of miRNAs Associated with Increased NUE

Following identification of miRNAs potentially involved in improvement of maize NUE using bioinformatics tools, as described in Examples 1 and 2 above, the actual mRNA levels in an experiment were determined using reverse transcription assay followed by quantitative Real-Time PCR (qRT-PCR) analysis. RNA levels were compared between different tissues, developmental stages, growing conditions and/or genetic backgrounds incorporated in each experiment. A correlation analysis between mRNA levels in different experimental conditions/genetic backgrounds was applied and used as evidence for the role of the gene in the plant.


Methods


Nitrate is the main source of nitrogen available for many crop plants and is often the limiting factor for plant growth and agricultural productivity especially for maize. Mobile nutrients such as N reach their targets and are then recycled, often executed in the form of simultaneous import and export of the nutrients from leaves. This dynamic nutrient cycling is termed remobilization or retranslocation, and thus leaf analyses are highly recommended. For that reason, root and leaf samples were freshly excised from maize plants grown as described above on agar plates containing the plant growth medium Murashige-Skoog (described in Murashige and Skoog, 1962, Physiol Plant 15: 473-497), which consists of macro and microelements, vitamins and amino acids without Ammonium Nitrate (NH4NO3) (Duchefa). When applicable, the appropriate ammonium nitrate percentage was added to the agar plates of the relevant experimental groups. Experimental plants were grown on agar containing either optimal ammonium nitrate concentrations (100%, 20.61 mM) to be used as a control group, or under stressful conditions with agar containing 10% or 1% (2.06 mM or 0.2 mM, respectively) ammonium nitrate to be used as stress-induced groups. Total RNA was extracted from the different tissues, using mirVana™ commercial kit (Ambion) following the protocol provided by the manufacturer. For measurement and verification of messenger RNA (mRNA) expression level of all genes, reverse transcription followed by quantitative real time PCR (qRT-PCR) was performed on total RNA extracted from each plant tissue (i.e., roots and leaves) from each experimental group as described above. To elaborate, reverse transcription was performed on 1 μg total RNA, using a miScript Reverse Transcriptase kit (Qiagen), following the protocol suggested by the manufacturer. Quantitative RT-PCR was performed on cDNA (0.1 ng/μl final concentration), using a miScript SYBR GREEN PCR (Qiagen) forward (based on the miR sequence itself) and reverse primers (supplied with the kit). All qRT-PCR reactions were performed in triplicates using an ABI7500 real-time PCR machine, following the recommended protocol for the machine. To normalize the expression level of miRNAs associated with enhanced NUE between the different tissues and growing conditions of the maize plants, normalizer miRNAs were used for comparison. Normalizer miRNAs, which are miRNAs with unchanged expression level between tissues and growing conditions, were custom selected for each experiment. The normalization procedure consists of second-degree polynomial fitting to a reference data (which is the median vector of all the data—excluding outliers) as described by Rosenfeld et al (2008, Nat Biotechnol, 26(4):462-469). A summary of primers for normalizer miRNAs that were used in the qRT-PCR analysis is presented in Table 8 below. Primers for differentially expressed miRNAs and siRNAs used for qRT-PCR analysis are provided in Table 9 below.









TABLE 8







Primers of Normalizer miRNAs used for qRT-PCR analysis











Primer


Primer Name
Primer Sequence/SEQ ID NO:
Length





Predicted zma mir 49063 -
CGAAGGGAATTGAGGGGGCTAG/
22


fwd
327






Predicted zma mir 49115 -
GAGGAGACCTGGAGGAGACGCT/
22


fwd
328






Predicted zma mir 49116 -
CGAGGAGGAGAAGCAACACATAGG/
24


fwd
329






Predicted folded 24-nts-long
GGGATTGGAGGGGATTGAGGTGGA/
24


seq 52764 - fwd
330






Predicted siRNA 56061 - fwd
GAGGAGGGGATTCGACGAAATGGA/
24



331





Table 8: Provided are the primers of Normalizer miRNAs used for qRT-PCR analysis.













TABLE 9







Primers of Differential miRNAs and siRNAs to be used for qRT-PCR analysis









miR Name
Forward Primer Sequence/SEQ ID NO:
Tm












aqc-miR529
AGAAGAGAGAGAGCACAACCC/332
59.08





ath-miR2936
CTTGAGAGAGAGAACACAGACG/333
58.9





mtr-miR169q
TGAGCCAGGATGACTTGCCGG/334
60.99





mtr-miR2647a
ATTCACGGGGACGAACCTCCT/335
59.42





mtr-miR395c
ATGAAGTGTTTGGGGGAACTC/336
60.06





osa-miR1430
TGGTGAGCCTTCCTGGCTAAG/337
58.76





osa-miR1868
TCACGGAAAACGAGGGAGCAGCCA/338
64.31





osa-miR2096-3p
CCTGAGGGGAAATCGGCGGGA/339
62.49





osa-miR395m
GTGAAGTGTTTGGGGGAACTC/340
60.3





peu-miR2911
GGCCGGGGGACGGGCTGGGA/341
66.88





Predicted folded 24-nts-
AAAAAAGACTGAGCCGAATTGAAA/342
59.13


long seq 50703







Predicted folded 24-nts-
AACTAAAACGAAACGGAAGGAGTA/343
59.39


long seq 50935







Predicted folded 24-nts-
AAGGAGTTTAATGAAGAAAGAGAG/344
58.61


long seq 51022







Predicted folded 24-nts-
AAGGTGCTTTTAGGAGTAGGACGG/345
58.03


long seq 51052







Predicted folded 24-nts-
ACAAAGGAATTAGAACGGAATGGC/346
59.04


long seq 51215







Predicted folded 24-nts-
ACTGATGACGACACTGAGGAGGCT/347
61.07


long seq 51381







Predicted folded 24-nts-
AGAATCAGGAATGGAACGGCTCCG/348
60.7


long seq 51468







Predicted folded 24-nts-
AGAATCAGGGATGGAACGGCTCTA/349
58.84


long seq 51469







Predicted folded 24-nts-
AGAGGAACCAGAGCCGAAGCCGTT/350
63.86


long seq 51542







Predicted folded 24-nts-
AGAGTCACGGGCGAGAAGAGGACG/351
63.66


long seq 51577







Predicted folded 24-nts-
AGGACCTAGATGAGCGGGCGGTTT/352
63.46


long seq 51691







Predicted folded 24-nts-
AGGACGCTGCTGGAGACGGAGAAT/353
63.44


long seq 51695







Predicted folded 24-nts-
AGGCAAGGTGGAGGACGTTGATGA/354
61.79


long seq 51757







Predicted folded 24-nts-
AGGGCTGATTTGGTGACAAGGGGA/355
61.76


long seq 51802







Predicted folded 24-nts-
AGGGCTTGTTCGGTTTGAAGGGGT/356
62.47


long seq 51814







Predicted folded 24-nts-
ATATAAAGGGAGGAGGTATGGACC/357
59.63


long seq 51966







Predicted folded 24-nts-
ATCGGTCAGCTGGAGGAGACAGGT/358
62.64


long seq 52041







Predicted folded 24-nts-
ATCTTTCAACGGCTGCGAAGAAGG/359
59.88


long seq 52057







Predicted folded 24-nts-
ATGGTAAGAGACTATGATCCAACT/360
59.02


long seq 52109







Predicted folded 24-nts-
CAATTTTGTACTGGATCGGGGCAT/361
59.43


long seq 52212







Predicted folded 24-nts-
CAGAGGAACCAGAGCCGAAGCCGT/362
64.4


long seq 52218







Predicted folded 24-nts-
CGGCTGGACAGGGAAGAAGAGCAC/363
63.15


long seq 52299







Predicted folded 24-nts-
CTAGAATTAGGGATGGAACGGCTC/364
60.55


long seq 52327







Predicted folded 24-nts-
GAAACTTGGAGAGATGGAGGCTTT/365
58.86


long seq 52347







Predicted folded 24-nts-
GAGAGAGAAGGGAGCGGATCTGGT/366
60.95


long seq 52452







Predicted folded 24-nts-
GAGGGATAACTGGGGACAACACGG/367
60.65


long seq 52499







Predicted folded 24-nts-
GCGGAGTGGGATGGGGAGTGTTGC/368
65.45


long seq 52633







Predicted folded 24-nts-
GCTGCACGGGATTGGTGGAGAGGT/369
64.68


long seq 52648







Predicted folded 24-nts-
GGAGACGGATGCGGAGACTGCTGG/370
64.75


long seq 52688







Predicted folded 24-nts-
GGCTGCTGGAGAGCGTAGAGGACC/371
64.27


long seq 52739







Predicted folded 24-nts-
GGGTTTTGAGAGCGAGTGAAGGGG/372
61.35


long seq 52792







Predicted folded 24-nts-
GGTATTGGGGTGGATTGAGGTGGA/373
59.81


long seq 52795







Predicted folded 24-nts-
GGTGGCGATGCAAGAGGAGCTCAA/374
63.17


long seq 52801







Predicted folded 24-nts-
GGTTAGGAGTGGATTGAGGGGGAT/375
59.07


long seq 52805







Predicted folded 24-nts-
GTCAAGTGACTAAGAGCATGTGGT/376
58.88


long seq 52850







Predicted folded 24-nts-
GTGGAATGGAGGAGATTGAGGGGA/377
59.32


long seq 52882







Predicted folded 24-nts-
GTTGCTGGAGAGAGTAGAGGACGT/378
59.35


long seq 52955







Predicted folded 24-nts-
TGGCTGAAGGCAGAACCAGGGGAG/379
64.14


long seq 53118







Predicted folded 24-nts-
TGTGGTAGAGAGGAAGAACAGGAC/380
60.12


long seq 53149







Predicted folded 24-nts-
AGGGACTCTCTTTATTTCCGACGG/381
58.77


long seq 53594







Predicted folded 24-nts-
AGGGTTCGTTTCCTGGGAGCGCGG/382
66.89


long seq 53604







Predicted folded 24-nts-
TCCTAGAATCAGGGATGGAACGGC/383
59.69


long seq 54081







Predicted folded 24-nts-
TGGGAGCTCTCTGTTCGATGGCGC/384
64.72


long seq 54132







Predicted siRNA 54240
CATCGCTCAACGGACAAAAGGT/385
60.29





Predicted siRNA 54339
AAGAAACGGGGCAGTGAGATGGAC/386
60.83





Predicted siRNA 54631
AGAAAAGATTGAGCCGAATTGAATT/387
58.85





Predicted siRNA 54957
AAGACGAAGGTAGCAGCGCGATAT/388
59.09





Predicted siRNA 54991
AGAGCCTGTAGCTAATGGTGGG/389
58.63





Predicted siRNA 55081
AGCCAGACTGATGAGAGAAGGAGG/390
60.29





Predicted siRNA 55111
AGGTAGCGGCCTAAGAACGACACA/391
61.59





Predicted siRNA 55393
ACGTTGTTGGAAGGGTAGAGGACG/392
60.36





Predicted siRNA 55404
CAAGTTATGCAGTTGCTGCCT/393
58.93





Predicted siRNA 55413
CATGTGTTCTCAGGTCGCCCC/394
59.58





Predicted siRNA 55423
CCTATATACTGGAACGGAACGGCT/395
59.54





Predicted siRNA 55472
CAGAATGGAGGAAGAGATGGTG/396
59.81





Predicted siRNA 55720
ATCTGTGGAGAGAGAAGGTTGCCC/397
59.84





Predicted siRNA 55732
ATGTCAGGGGGCCATGCAGTAT/398
67.59





Predicted siRNA 55806
CTATATACTGGAACGGAACGGCTT/399
60.28





Predicted siRNA 56034
ATCCTGACTGTGCCGGGCCGGCCC/400
58.86





Predicted siRNA 56052
GACGAGATCGAGTCTGGAGCGAGC/401
62.57





Predicted siRNA 56106
GAGTATGGGGAGGGACTAGGGA/402
59.92





Predicted siRNA 56162
CGAGTTCGCCGTAGAGAAAGCT/403
60.11





Predicted siRNA 56205
GACTGATTCGGACGAAGGAGGGTT/404
60.06





Predicted siRNA 56277
GTCTGAACACTAAACGAAGCACA/405
58.82





Predicted siRNA 56307
GACGTTGTTGGAAGGGTAGAGGAC/406
65.21





Predicted siRNA 56353
GACGAAATAGAGGCTCAGGAGAGG/407
60.06





Predicted siRNA 56388
GGATTCGTGATTGGCGATGGGG/408
60.05





Predicted siRNA 56406
GGTGAGAAACGGAAAGGCAGGACA/409
61





Predicted siRNA 56425
GCTACTGTAGTTCACGGGCCGGCC/410
59.09





Predicted siRNA 56443
GTGTCTGAGCAGGGTGAGAAGGCT/411
62.08





Predicted siRNA 56450
GTTTTGGAGGCGTAGGCGAGGGAT/412
62.71





Predicted siRNA 56542
TGGGACGCTGCATCTGTTGAT/413
58.62





Predicted siRNA 56706
TCTATATACTGGAACGGAACGGCT/414
59.84





Predicted siRNA 56837
GGTATTCGTGAGCCTGTTTCTGGTT/415
60





Predicted siRNA 56856
GTTGTTGGAGGGGTAGAGGACGTC/416
60.35





Predicted siRNA 56965
TGGAAGGAGCATGCATCTTGAG/417
59.65





Predicted siRNA 57034
AATGACAGGACGGGATGGGACGGG/418
63.99





Predicted siRNA 57054
ACGGAACGGCTTCATACCACAATA/419
58.33





Predicted siRNA 57088
TTCTTGACCTTGTAAGACCCA/420
59.23





Predicted siRNA 57179
AGCAGAATGGAGGAAGAGATGG/421
60.23





Predicted siRNA 57181
CTGGACACTGTTGCAGAAGGAGGA/422
58.89





Predicted siRNA 57193
GACGGGCCGACATTTAGAGCACGG/423
63.73





Predicted siRNA 57228
GAAATAGGATAGGAGGAGGGATGA/424
63.39





Predicted siRNA 57685
GGCACGACTAACAGACTCACGGGC/425
60.93





Predicted siRNA 57772
AATCCCGGTGGAACCTCCA/426
60.6





Predicted siRNA 57863
ACACGACAAGACGAATGAGAGAGA/427
58.14





Predicted siRNA 57884
ACGGATAAAAGGTACTCT/428
59.05





Predicted siRNA 58292
AGTATGTCGAAAACTGGAGGGC/429
59.94





Predicted siRNA 58362
ATAAGCACCGGCTAACTCT/430
58.83





Predicted siRNA 58665
ATTCAGCGGGCGTGGTTATTGGCA/431
63.42





Predicted siRNA 58721
ACGACGAGGACTTCGAGACG/432
60.11





Predicted siRNA 58872
CAGCGGGTGCCATAGTCGAT/433
58.78





Predicted siRNA 58877
CAAAGTGGTCGTGCCGGAG/434
60.59





Predicted siRNA 58924
TTTGCGACACGGGCTGCTCT/435
59.81





Predicted siRNA 58940
CATTGCGACGGTCCTCAA/436
59.83





Predicted siRNA 59032
CAGCTTGAGAATCGGGCCGC/437
59.7





Predicted siRNA 59102
CCCTGTGACAAGAGGAGGA/438
59.06





Predicted siRNA 59123
CCTGCTAACTAGTTATGCGGAGC/439
59.19





Predicted siRNA 59235
CGAACTCAGAAGTGAAACC/440
59.91





Predicted siRNA 59380
CTCAACGGATAAAAGGTAC/441
59.25





Predicted siRNA 59485
CGCTTCGTCAAGGAGAAGGGC/442
61.21





Predicted siRNA 59626
GACAGTCAGGATGTTGGCT/443
59.24





Predicted siRNA 59659
GACTGATCCTTCGGTGTCGGCG/444
61.61





Predicted siRNA 59846
GCCGAAGATTAAAAGACGAGACGA/445
59.29





Predicted siRNA 59867
GCCTTTGCCGACCATCCTGA/446
59.19





Predicted siRNA 59952
GGAATCGCTAGTAATCGTGGAT/447
58.9





Predicted siRNA 59954
CTTAACTGGGCGTTAAGTTGCAGGGT/448
58.72





Predicted siRNA 59961
GGAGCAGCTCTGGTCGTGGG/449
61.36





Predicted siRNA 59965
GGAGGCTCGACTATGTTCAAA/450
59.14





Predicted siRNA 59966
GGAGGGATGTGAGAACATGGGC/451
59.08





Predicted siRNA 59993
GGACGAACCTCTGGTGTACC/452
59.23





Predicted siRNA 60012
GGCGCTGGAGAACTGAGGG/453
59.79





Predicted siRNA 60081
GTCCCCTTCGTCTAGAGGC/454
60.84





Predicted siRNA 60095
GTCTGAGTGGTGTAGTTGGT/455
58.64





Predicted siRNA 60123
GGGGGCCTAAATAAAGACT/456
59.6





Predicted siRNA 60188
GTTGGTAGAGCAGTTGGC/457
60.44





Predicted siRNA 60285
TACGTTCCCGGGTCTTGTACA/458
60.36





Predicted siRNA 60334
GTGCTAACGTCCGTCGTGAA/459
58.57





Predicted siRNA 60387
TATGGATGAAGATGGGGGTG/460
58.67





Predicted siRNA 60434
TCAACGGATAAAAGGTACTCCG/461
59.28





Predicted siRNA 60750
TAGCTTAACCTTCGGGAGGG/462
58.57





Predicted siRNA 60803
TGAGAAAGAAAGAGAAGGCTCA/463
59.27





Predicted siRNA 60837
TGCCCAGTGCTTTGAATG/464
58.98





Predicted siRNA 60850
TGCGAGACCGACAAGTCGAGC/465
61.28





Predicted siRNA 61382
TTTGCGACACGGGCTGCTCT/466
61.5





Predicted zma mir 47944
AAAAGAGAAACCGAAGACACAT/467
59.24





Predicted zma mir 47976
AAAGAGGATGAGGAGTAGCATG/468
59.04





Predicted zma mir 48061
AACGTCGTGTCGTGCTTGGGCT/469
63.52





Predicted zma mir 48185
AATACACATGGGTTGAGGAGG/470
59.4





Predicted zma mir 48295
ACCTGGACCAATACATGAGATT/471
58.67





Predicted zma mir 48350
AGAAGCGACAATGGGACGGAGT/472
60.05





Predicted zma mir 48351
AGAAGCGGACTGCCAAGGAGGC/473
63.13





Predicted zma mir 48397
AGAGGGTTTGGGGATAGAGGGAC/474
58.7





Predicted zma mir 48457
AGGAAGGAACAAACGAGGATAAG/475
59.46





Predicted zma mir 48486
AGGATGCTGACGCAATGGGAT/476
58.4





Predicted zma mir 48492
CAGGATGTGAGGCTATTGGGGAC/477
58.62





Predicted zma mir 48588
ATAGGGATGAGGCAGAGCATG/478
59.31





Predicted zma mir 48669
ATGCTATTTGTACCCGTCACCG/479
60.29





Predicted zma mir 48708
ATGTGGATAAAAGGAGGGATGA/480
59.61





Predicted zma mir 48771
CAACAGGAACAAGGAGGACCAT/481
60.77





Predicted zma mir 48877
CCAAGAGATGGAAGGGCAGAGC/482
59.08





Predicted zma mir 48879
CCAAGTCGAGGGCAGACCAGGC/483
63.43





Predicted zma mir 48922
CGACAACGGGACGGAGTTCAA/484
59.19





Predicted zma mir 49002
CTGAGTTGAGAAAGAGATGCT/485
58.57





Predicted zma mir 49003
CTGATGGGAGGTGGAGTTGCAT/486
58.41





Predicted zma mir 49011
CTGGGAAGATGGAACATTTTGGT/487
59.54





Predicted zma mir 49053
GAAGATATACGATGATGAGGAG/488
59.23





Predicted zma mir 49070
GAATCTATCGTTTGGGCTCAT/489
59.29





Predicted zma mir 49082
GACGAGCTACAAAAGGATTCG/490
58.52





Predicted zma mir 49123
GAGGATGGAGAGGTACGTCAGA/491
58.88





Predicted zma mir 49155
GATGACGAGGAGTGAGAGTAGG/492
60.06





Predicted zma mir 49161
GATGGGTAGGAGAGCGTCGTGTG/493
60.78





Predicted zma mir 49162
GATGGTTCATAGGTGACGGTAG/494
59.07





Predicted zma mir 49262
GGGAGCCGAGACATAGAGATGT/495
59.5





Predicted zma mir 49269
GGGCATCTTCTGGCAGGAGGACA/496
62.24





Predicted zma mir 49323
GTGAGGAGTGATAATGAGACGG/497
59.07





Predicted zma mir 49369
GTTTGGGGCTTTAGCAGGTTTAT/498
60.12





Predicted zma mir 49435
TACGGAAGAAGAGCAAGTTTT/499
58.74





Predicted zma mir 49445
TAGAAAGAGCGAGAGAACAAAG/500
58.7





Predicted zma mir 49609
TCCATAGCTGGGCGGAAGAGAT/501
59.06





Predicted zma mir 49638
TCGGCATGTGTAGGATAGGTG/502
59.02





Predicted zma mir 49761
TGATAGGCTGGGTGTGGAAGCG/503
60.69





Predicted zma mir 49762
TGATATTATGGACGACTGGTT/504
59.18





Predicted zma mir 49787
TGCAAACAGACTGGGGAGGCGA/505
62.45





Predicted zma mir 49816
TGGAAGGGCCATGCCGAGGAG/506
62.77





Predicted zma mir 49985
TTGAGCGCAGCGTTGATGAGC/507
60.76





Predicted zma mir 50021
TTGGATAACGGGTAGTTTGGAGT/508
58.63





Predicted zma mir 50077
TTTGGCTGACAGGATAAGGGAG/509
59.17





Predicted zma mir 50095
TTTTCATAGCTGGGCGGAAGAG/510
60





Predicted zma mir 50110
AACTTTAAATAGGTAGGACGGCGC/511
60.28





Predicted zma mir 50144
AGCTGCCGACTCATTCACCCA/512
60.31





Predicted zma mir 50204
GGAATGTTGTCTGGTTCAAGG/513
58.54





Predicted zma mir 50261
TGTAATGTTCGCGGAAGGCCAC/514
59.86





Predicted zma mir 50263
TGTACGATGATCAGGAGGAGGT/515
59.46





Predicted zma mir 50266
TGTGTTCTCAGGTCGCCCCCG/516
62.92





Predicted zma mir 50267
TGTTGGCATGGCTCAATCAAC/517
59.39





Predicted zma mir 50318
ACTAAAAAGAAACAGAGGGAG/518
58.6





Predicted zma mir 50460
CGCTGACGCCGTGCCACCTCAT/519
66.1





Predicted zma mir 50517
GACCGGCTCGACCCTTCTGC/520
61.69





Predicted zma mir 50545
GCCTGGGCCTCTTTAGACCT/521
60.11





Predicted zma mir 50578
GTAGGATGGATGGAGAGGGTTC/522
60.29





Predicted zma mir 50601
CTAGCCAAGCATGATTTGCCCG/523
58.66





Predicted zma mir 50611
TCAACGGGCTGGCGGATGTG/524
61.92





Predicted zma mir 50670
TGGTAGGATGGATGGAGAGGGT/525
58.52





zma-miR169c*
GGCAAGTCTGTCCTTGGCTACA/526
58.62





zma-miR1691
GCTAGCCAGGGATGATTTGCCTG/527
59.74





zma-miR1691*
GCGGCAAATCATCCCTGCTACC/528
60.3





zma-miR172e
GGCGGAATCTTGATGATGCTGCAT/529
60.06





zma-miR397a
TCATTGAGCGCAGCGTTGATG/530
58.55





zma-miR398b*
GGGGCGGACTGGGAACACATG/531
61.85





zma-miR399f*
GGGCAACTTCTCCTTTGGCAGA/532
59.14





zma-miR399g
TGCCAAAGGGGATTTGCCCGG/533
62.08





zma-miR529
GGCAGAAGAGAGAGAGTACAGCCT/534
59.1





zma-miR827
TGGCTTAGATGACCATCAGCAAACA/535
58.56





Table 9. Provided are the forward primer sequences of Differential miRNAs and siRNAs to be used for qRT-PCR analysis, along with the melting temperature (Tm) of the primer and the corresponding mir name.







Alternative RT-PCR Validation Method of Selected microRNAs of the Invention


A novel microRNA quantification method has been applied using stem-loop RT followed by PCR analysis (Chen C, Ridzon D A, Broomer A J, Zhou Z, Lee D H, Nguyen J T, Barbisin M, Xu N L, Mahuvakar V R, Andersen M R, Lao K Q, Livak K J, Guegler K J. 2005, Nucleic Acids Res 33(20):e179; Varkonyi-Gasic E, Wu R, Wood M, Walton E F, Hellens R P. 2007, Plant Methods 3:12) (see FIG. 2). This highly accurate method allows the detection of less abundant miRNAs. In this method, stem-loop RT primers are used, which provide higher specificity and efficiency to the reverse transcription process. While the conventional method relies on polyadenylated (poly (A)) tail and thus becomes sensitive to methylation because of the susceptibility of the enzymes involved, in this novel method the reverse transcription step is transcript specific and insensitive to methylation. Reverse transcriptase reactions contained RNA samples including purified total RNA, 50 nM stem-loop RT primer (see Table 10, synthesized by Sigma), and using the SuperScript II reverse transcriptase (Invitrogen). A mix of up to 12 stem-loop RT primers may be used in each reaction, and the forward primers are such that the last 6 nucleotides are replaced with a GC rich sequence.









TABLE 10







Stem Loop Reverse Transcriptase Primers for RT-PCR Validation













Primer



Primer

Length


Mir Name
Name
Primer Sequence/SEQ ID NO:
(bp)





Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


siRNA 57181
57181-SL-
GCACTGGATACGACTCATCC/2659




RT





Pred zma
CGGCGGGAAATAGGATAGGAGGAG/2660
24



57181-SL-F







Predicted zma
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


mir 49638
49638-SL-
GCACTGGATACGACCACCTA/2661




RT





Pred zma
CGCGCTCGGCATGTGTAGGA/2662
20



49638-SL-F







Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


siRNA 55111
55111-SL-
GCACTGGATACGACTGTGTC/2663




RT





Pred zma
CGTCAGGTAGCGGCCTAAGAAC/2664
22



55111-SL-F







zma-
zma-
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


miR1691*
miR1691*-
GCACTGGATACGACGGTAGC/2665




SL-RT





zma-
CGCGCGGCAAATCATCCCT/2666
19



miR1691*-





SL-F







Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


folded 24-nts-
51802-SL-
GCACTGGATACGACTCCCCT/2667



long seq
RT




51802
Pred zma
CTGCAGGGCTGATTTGGTGACA/2668
22



51802-SL-F







Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


siRNA 57685
57685-SL-
GCACTGGATACGACTGGAGG/2669




RT





Pred zma
CGCGCAATCCCGGTGGAA/2670
18



57685-SL-F







osa-
osa-
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


miR2096-3p
miR2096-
GCACTGGATACGACTCCCGC/2671




3p-SL-RT





osa-
GCCGCCTGAGGGGAAATCG/2672
19



miR2096-





3p-SL-F







Predicted zma
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


mir 49070
49070-SL-
GCACTGGATACGACATGAGC/2673




RT





Pred zma
CGGCGGGAATCTATCGTTTGG/2674
21



49070-SL-F







Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


folded 24-nts-
52850-SL-
GCACTGGATACGACACCACA/2675



long seq
RT




52850
Pred zma
CGGCGGGTCAAGTGACTAAGAGCA/2676
24



52850-SL-F







Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


folded 24-nts-
52801-SL-
GCACTGGATACGACTTGAGC/2677



long seq
RT




52801
Pred zma
CCGGTGGCGATGCAAGAGGA/2678
20



52801-SL-F







Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


folded 24-nts-
51215-SL-
GCACTGGATACGACGCCATT/2679



long seq
RT




51215
Pred zma
CGGCGGACAAAGGAATTAGAACGG/2680
24



51215-SL-F







Predicted
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


folded 24-nts-
52452-SL-
GCACTGGATACGACACCAGA/2681



long seq
RT




52452
Pred zma
CGTCGAGAGAGAAGGGAGCGGA/2682
22



52452-SL-F







Predicted zma
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


mir 49762
49762-SL-
GCACTGGATACGACAACCAG/2683




RT





Pred zma
CGGCGGTGATATTATGGACGA/2684
21



49762-SL-F







Predicted zma
Pred zma
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


mir 50601
50601-SL-
GCACTGGATACGACCGGGCA/2685




RT





Pred zma
CGCGCTAGCCAAGCATGATT/2686
20



50601-SL-F







zma-miR827
zma-
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50



miR827-SL-
GCACTGGATACGACTGTTTG/2687




RT





zma-
CGGCGGTTAGATGACCATCAG/2688
21



miR827-SL-





F







zma-
zma-
GTCGTATCCAGTGCAGGGTCCGAGGTATTC
50


miR395b
miR395b
GCACTGGATACGACGAGTTC/2689




SL-RT





zma-
CGCGCGTGAAGTGTTTGGGG/2690
20



miR395b-





SL-F





Table 10: Provided are the stem loop reverse transcriptase primers for RT-PCR validation. “F” = forward primer; “RT” reverse primer.






Example 4
Results of RT-PCR Validation of Selected miRNAs of the Invention

An RT-PCR analysis was run on selected microRNAs of the invention, using the stem-loop RT primers as described in Table 10 and Example 3 above. Total RNA was extracted from either leaf or root tissues of maize plants grown as described above, and was used as a template for RT-PCR analysis. Expression level and directionality of several up-regulated and down-regulated microRNAs that were found to be differential on the microarray analysis were verified. Results are summarized in Table 11 below.









TABLE 11







Summary of All RT-PCR Verification Results on Selected miRNAs














Corn


Duration of

Fold




Variety
Direction
Tissue
Treatment
Mir Name
Change
p-Value
Notes





5605
Up
Root
 7 d
Predicted zma mir
1.96
3.60E−03







48879








 7 d
Predicted zma mir
1.55
4.40E−02







48486






Down
Root
 7 d
Predicted zma mir
1.54
2.30E−03







48492






Up
Leaf
 7 d
zma-miR172e
1.57
8.60E−03



GSO308
Up
Root
14 d
zma-miR827
1.68
3.20E−03






14 d
zma-miR827
1.62
1.30E−02
1% vs 10%





14 d
Predicted zma mir
2.42
2.30E−02
1% vs 10%






48486








14 d
Predicted zma mir
1.57
4.60E−02
1% vs 10%






48492








14 d
Predicted zma mir
1.57
1.00E−02







48879








 9 d
Predicted zma mir
4.93
3.60E−04







49638








14 d
Predicted zma mir
9.73
1.60E−03







49638








14 d
Predicted folded
4.67
5.60E−02







24-nts-long seq









52850






Down
Root
 7 d
zma-miR1691
7.37
7.00E−03






 9 d
zma-miR1691*
2.26
6.50E−05






 7 d
zma-miR395b
1.62
8.00E−03
1% vs









control





14 d
zma-miR395b
3.16
1.30E−03
1% vs









control





14 d
zma-miR395b
3.71
4.50E−03
10% vs









control





 9 d
Predicted zma mir
1.78
8.80E−05







50601








14 d
Predicted zma mir
3.35
8.70E−04







50601






Down
Leaf
 7 d
Predicted zma mir
1.91
1.40E−03







50601





Table 11: provided are the RT-PCR validation results in corn varieties treated with either 1% or 10% Nitrogen vs. optimal 100% Nitrogen for the indicated time periods.






Example 5

Gene Cloning and Creation of Binary Vectors for Plant Expression


Cloning Strategy—the validated dsRNAs (stem-loop) were cloned into pORE-E1 (Accession number: AY562534) binary vectors for the generation of transgenic plants. The full-length open reading frame (ORF) comprising of the hairpin sequence of each selected miRNA, was synthesized by Genscript (Israel). The resultant clone was digested with appropriate restriction enzymes and inserted into the Multi Cloning Site (MCS) of a similarly digested binary vector through ligation using T4 DNA ligase enzyme (Promega, Madison, Wis., USA). FIG. 1 is a plasmid map of the binary vector pORE-E1, used for plant transformation.


Example 6
Generation of Transgenic Model Plants Expressing miRNAs or siRNAs or Sequences Regulating Same of Some Embodiments of the Invention


Arabidoposis thaliana transformation was performed using the floral dip procedure following a slightly modified version of the published protocol (Clough and Bent, 1998, Plant J 16(6): 735-43; Desfeux et al, 2000, Plant Physiol. 123(3): 895-904). Briefly, T0 Plants were planted in small pots filled with soil. The pots were covered with aluminum foil and a plastic dome, kept at 4° C. for 3-4 days, then uncovered and incubated in a growth chamber at 24° C. under 16 hr light:8 hr dark cycles. A week prior to transformation all individual flowering stems were removed to allow for growth of multiple flowering stems instead. A single colony of Agrobacterium (GV3101) carrying the binary vectors (pORE-E1), harboring the NUE miRNA hairpin sequences with additional flanking sequences both upstream and downstream of it (general sequences about 100-150 bp), was cultured in LB medium supplemented with kanamycin (50 mg/L) and gentamycin (25 mg/L). Three days prior to transformation, each culture was incubated at 28° C. for 48 hrs, shaking at 180 rpm. The starter culture was split the day before transformation into two cultures, which were allowed to grow further at 28° C. for 24 hours at 180 rpm. Pellets containing the agrobacterium cells were obtained by centrifugation of the cultures at 5000 rpm for 15 minutes. The pellets were resuspended in an infiltration medium (10 mM MgCl2, 5% sucrose, 0.044 μM BAP (Sigma) and 0.03% Tween 20) in double-distilled water.


Transformation of T0 plants was performed by inverting each plant into the Agrobacterium suspension, keeping the flowering stem submerged for 5 minutes. Following inoculation, each plant was blotted dry for 5 minutes on both sides, and placed sideways on a fresh covered tray for 24 hours at 22° C. Transformed (transgenic) plants were then uncovered and transferred to a greenhouse for recovery and maturation. The transgenic T0 plants were grown in the greenhouse for 3-5 weeks until the seeds are ready. The seeds were then harvested from plants and kept at room temperature until sowing.


Example 7
Selection of Transgenic Arabidopsis Plants Expressing miRNAs of Some Embodiments of the Invention According to Expression Level


Arabidopsis seeds were sown. One to 2 weeks old seedlings were sprayed with a non-volatile herbicide, Basta (Bayer) at least twice every few days. Only resistant plants, which are heterozygous for the transgene, survived. PCR on the genomic gene sequence was performed on the surviving seedlings using primers pORE-F2 (fwd, 5′-TTTAGCGATGAACTTCACTC-3′/SEQ ID NO:1026) and a custom designed reverse primer based on each miR's sequence.


Example 8
Nitrogen Deficiency Tolerance of Arabidopsis Plants Overexpressing Selected MicroRNAs Surpasses that of Control Plants


Arabidopsis seeds were obtained from the Arabidopsis Biological Resource Center (ABRC) at The Ohio State University. Plants were grown at 22° C. under a 16 hours light:8 hours dark regime. Plants were grown for four weeks until seedlings reached flowering stage, and transferred to pots with low-nitrogen containing soil. Next, plants were divided into control and experimental groups, where experimental plants were over-expressing one of the three selected miRNAs associated with increased NUE; miR395, miR397 or miR398. The stem loop sequences of the above microRNAs were cloned into pORE-E1 binary vector for the generation of transgenic plants as specified in Example 6 above. A total of 4 lines per each of the selected microRNAs were included. As an internal control for the experimental group, plants expressing an empty vector (strain pORE-E1) were included. Both plant groups were irrigated twice weekly with alternating tap water and water containing either 1% nitrogen, to induce chronic N limiting condition or transient low nitrate availability, or 100% nitrogen, to supplement the soil with all fertilizer needs for optimal plant growth. The experiment continued for 17 days, after which plants were harvested and dry weighed. For each microRNA line tested for over-expression (including control plants expressing vector only), plants were pooled together (20-35 total) to serve as biological repeats. Total dry weight of control and experimental plant groups was analyzed and data were summarized in Table 12 below.









TABLE 12







Summary of Over-expression Experiments in Arabidopsis













% Change





Compared to





control grown



Experimental

under identical


Treatment
Sample/Line
Plant Dry Weight
growth conditions













No Treatment
Control
0.425 +− 0.016
100



395-7
0.466 +− 0.023
109.646



397-2
0.494 +− 0.015
116.184



398-6
0.500 +− 0.033
117.54


Fertilizer 1%
Control
0.158 +− 0.012
100



395-7
0.171 +− 0.012
108.465



397-2
0.188 +− 0.012
119.135



398-6
0.223 +− 0.013
141.166





Table 12: Summary of experimental results showing the effect of over-expression of miRNAs of some embodiments of the invention of nitrogen use efficiency of a plant.


“no treatment” = conditions with 100% nitrogen for optimal plant growth;






As shown in Table 12 above, over-expression of miRNA395, miRNA397 and miRNA398 in plants confers increased biomass of a plant under either normal conditions (i.e., with optimal nitrogen supply) or under nitrogen-deficient conditions, hence increased nitrogen utilization efficiency as compared to control plants under identical conditions.


Example 9
Evaluating Changes in Root Architecture in Transgenic Plants

Root architecture of the plant governs multiple key agricultural traits. Root size and depth have been shown to logically correlate with drought tolerance and enhanced NUE, since deeper and more branched root systems provide better soil coverage and can access water and nutrients stored in deeper soil layers.


To test whether the transgenic plants produce a modified root structure, plants were grown in agar plates placed vertically. A digital picture of the plates was taken every few days and the maximal length and total area covered by the plant roots were assessed. From every construct created, several independent transformation events were checked in replicates. To assess significant differences between root features, statistical test, such as a Student's t-test, was employed in order to identify enhanced root features and to provide a statistical value to the findings.


Example 10
Testing for Increased Nitrogen Use Efficiency (NUE)

To analyze whether the transgenic Arabidopsis plants are more responsive to nitrogen, plants were grown in two different nitrogen concentrations: (1) optimal nitrogen concentration (100% NH4NO3, which corresponds to 20.61 mM) or (2) nitrogen deficient conditions (1% or 10% NH4NO3, which corresponds to 0.2 and 2.06 mM, respectively). Plants were allowed to grow until seed production followed by an analysis of their overall size, time to flowering, yield, protein content of shoot and/or grain, and seed production. The parameters checked are each of the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that were tested include: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness are highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, were identified as nitrogen use efficient plants.


Example 11
Method for Generating Transgenic Maize Plants with Enhanced or Reduced MicroRNA Regulation of Target Genes

Target prediction enables two contrasting strategies; an enhancement (positive) or a reduction (negative) of dsRNA regulation. Both these strategies have been used in plants and have resulted in significant phenotype alterations. For complete in-vivo assessment of the phenotypic effects of the differential dsRNAs in this invention, over-expression and down-regulation methods were implemented on all dsRNAs found to associate with NUE as listed in Tables 1-4.


Basically, stress tolerance is achieved by down-regulation of those dsRNA sequences which were found to be downregulated, or upregulation of those dsRNA sequences which were found to be upregulated, under limiting nitrogen conditions.


Expressing a microRNA-Resistant Target


In this method, silent mutations are introduced in the microRNA binding site of the target gene so that the DNA and resulting RNA sequences are changed to prevent microRNA binding, but the amino acid sequence of the protein is unchanged.


Expressing a Target-Mimic Sequence


Plant microRNAs usually lead to cleavage of their targeted gene, with this cleavage typically occurring between bases 10 and 11 of the microRNA. This position is therefore especially sensitive to mismatches between the microRNA and the target. It was found that expressing a DNA sequence that could potentially be targeted by a microRNA, but contains three extra nucleotides (ATC) between the two nucleotides that are predicted to hybridize with bases 10-11 of the microRNA (thus creating a bulge in that position), can inhibit the regulation of that microRNA on its native targets (Franco-Zorilla J M et al., Nat Genet 2007; 39(8):1033-1037).


This type of sequence is referred to as a “target-mimic”. Inhibition of the microRNA regulation is presumed to occur through physically capturing the microRNA by the target-mimic sequence and titering-out the microRNA, thereby reducing its abundance. This method was used to reduce the amount and, consequentially, the regulation of microRNA 399 in Arabidopsis.









TABLE 13







miRNA-Resistant Target Examples for Selected miRNAs of the Invention



















Original
Mutated
NCBI



Mature
Homolog

Protein
Nucleotide
Nucleotide
Mir


Mir
Sequence/
NCBI

SEQ ID
SEQ
SEQ
Binding


name
seq id:
Accession
Organism
NO:
ID NO:
ID NO:
Site





ath-
CTTGAG
ACN26323

Zea

563
603
616
 784 -


miR29
AGAGAG


mays




 805


36
AACACA




617
 784 -



GACG/59





 805








618
 784 -









 805








619
 784 -









 805








620
 784 -









 805





Predicted
TTGAGC
XP_002448765

Sorghum

547
587
621
 665 -


zma
GCAGCG


bicolor




 685


mir
TTGATG




622
 665 -


49985
AGC/106





 685








623
 665 -









 685








624
 665 -









 685








625
 665 -









 685







XP_002458747

Sorghum

548
588
626
 780 -






bicolor




 800








627
 780 -









 800








628
 780 -









 800








629
 780 -









 800








630
 780 -









 800







NP_001141205

Zea

539
579
631
 740 -






mays




 760








632
 740 -









 760








633
 740 -









 760








634
 740 -









 760








635
 740 -









 760







NP_001105875

Zea

541
581
636
 851 -






mays




 871








637
 851 -









 871








638
 851 -









 871








639
 851 -









 871








640
 851 -









 871







NP_001146658

Zea

540
580
641
 765 -






mays




 785








642
 765 -









 785








643
 765 -









 785








644
 765 -









 785








645
 765 -









 785







ACN27868

Zea

572
612
646
 893 -






mays




 913








647
 893 -









 913








648
 893 -









 913








649
 893 -









 913








650
 893-









 913





Predicted
TGGAAG
NP_001168448

Zea

549
589
651
 336 -


zma
GGCCAT


mays




 356


mir
GCCGAG




652
 336 -


49816
GAG/105





 356








653
 336 -









 356








654
 336 -









 356








655
 336 -









 356





aqc-
AGAAGA
AAX83875

Zea

553
593
656
2774 -


miR529
GAGAGA


mays




2794



GCACAA

subsp.


657
2774 -



CCC/58


mays




2794








658
2774 -









2794








659
2774 -









2794








660
2774 -









2794







ACN30570

Zea

552
592
661
 889 -






mays




 909








662
 889 -









 909








663
 889 -









 909








664
 889 -









 909








665
 889 -









 909







NP_001137049

Zea

568
608
666
 585 -






mays




 605








667
 585 -









 605








668
 585 -









 605








669
 585 -









 605








670
 585 -









 605







ACR34442

Zea

562
602
671
1040 -






mays




1060








672
1040 -









1060








673
1040 -









1060








674
1040 -









1060








675
1040 -









1060







ACF86782

Zea

544
584
676
 923 -






mays




 943








677
 923 -









 943








678
 923 -









 943








679
 923 -









 943








680
 923 -









 943







XP_002438971

Sorghum

559
599
681
1422 -






bicolor




1442








682
1422 -









1442








683
1422 -









1442








684
1422 -









1442








685
1422 -









1442







NP_001136945

Zea

543
583
686
 926 -






mays




 946








687
 926 -









 946








688
 926 -









 946








689
 926 -









 946








690
 926 -









 946







CAB56631

Zea

575
615
691
 589 -






mays




 609








692
 589 -









 609








693
 589 -









 609








694
 589 -









 609








695
 589 -









 609





osa-
GTGAAG
ACN34023

Zea

545
585
696
 527 -


miR395m
TGTTTGG


mays




 547



GGGAAC




697
 527 -



TC/63





 547








698
 527 -









 547








699
 527 -









 547








700
 527 -









 547





Predicted
AGGCAA
NP_001145778

Zea

560
600
701
 685 -


folded
GGTGGA


mays




 708


24-nts-
GGACGT




702
 685 -


long
TGATGA/





 708


seq
69




703
 685 -


51757






 708








704
 685 -









 708








705
 685 -









 708





mtr-
ATGAAG
ACN34023

Zea

546
586
706
 527 -


miR395c
TGTTTGG


mays




 547



GGGAAC




707
 527 -



TC/62





 547








708
 527 -









 547








709
 527 -









 547








710
 527 -









 547





Predicted
AGCTGC
AAS82604

Zea

542
582
711
 144 -


zma
CGACTC


mays




 164


mir
ATTCACC




712
 144 -


50144
CA/108





 164








713
 144 -









 164








714
 144 -









 164








715
 144 -









 164





Predicted
GATGAC
NP_001151090

Zea

551
591
716
  94 -


zma
GAGGAG


mays




 115


mir
TGAGAG




717
  94 -


49155
TAGG/100





 115








718
  94 -









 115








719
  94 -









 115








720
  94 -









 115





Predicted
AGAAGC
ACN36648

Zea

569
609
721
1624 -


zma
GGACTG


mays




1645


mir
CCAAGG




722
1624 -


48351
AGGC/88





1645








723
1624 -









1645








724
1624 -









1645








725
1624 -









1645





Predicted
TACGGA
NP_001141527

Zea

565
605
726
 888 -


zma
AGAAGA


mays




 908


mir
GCAAGT




727
 888 -


49435
TTT/102





 908








728
 888 -









 908








729
 888 -









 908








730
 888 -









 908




ACF85023

Zea

566
606
731
 357 -






mays




 377








732
 357 -









 377








733
 357 -









 377








734
 357 -









 377








735
 357 -









 377





Predicted
GGCACG
CAI30078

Sorghum

564
604
736
 845 -


siRNA
ACTAAC


bicolor




 863


57685
AGACTC




737
 845 -



ACGGGC/





 863



183




738
 845 -









 863








739
 845 -









 863








740
 845 -









 863





Predicted
GGACGA
NP_001183648

Zea

567
607
741
 523 -


siRNA
ACCTCTG


mays




 541


59993
GTGTAC




742
 523 -



C/194





 541








743
 523 -









 541








744
 523 -









 541








745
 523 -









 541







NP_001140599

Zea

550
590
746
 414 -






mays




 432








747
 414 -









 432








748
 414 -









 432








749
 414 -









 432








750
 414 -









 432







XP_002454851

Sorghum

536
576
751
2501 -






bicolor




2519








752
2501 -









2519








753
2501 -









2519








754
2501 -









2519








755
2501 -









2519





Predicted
CAAGTT
NP_001149348

Zea

571
611
756
1093 -


siRNA
ATGCAG


mays




1114


55404
TTGCTGC




757
1093 -



CT/167





1114








758
1093 -









1114








759
1093 -









1114








760
1093 -









1114







NP_001137115

Zea

570
610
761
1114 -






mays




1135








762
1114 -









1135








763
1114 -









1135








764
1114 -









1135








765
1114 -









1135





Predicted
AGTTGT
NP_001104926

Zea

558
598
766
 288 -


siRNA
TGGAAG


mays




 308


55393
GGTAGA




767
 288 -



GGACG/166





 308








768
 288 -









 308








769
 288 -









 308








770
 288 -









 308







NP_001047230

Oryza

557
597
771
 288 -






sativa




 308






Japonica



772
 288 -





Group



 308








773
 288 -









 308








774
 288 -









 308








775
 288 -









 308





Predicted
TGGAAG
XP_002440246

Sorghum

537
577
776
1329 -


siRNA
GAGCAT


bicolor




1349


56965
GCATCTT




777
1329 -



GAG/178





1349








778
1329 -









1349








779
1329 -









1349








780
1329 -









1349







NP_001130681

Zea

556
596
781
1440 -






mays




1460








782
1440 -









1460








783
1440 -









1460








784
1440 -









1460








785
1440 -









1460







XP_002458292

Sorghum

538
578
786
1549 -






bicolor




1569








787
1549 -









1569








788
1549 -









1569








789
1549 -









1569








790
1549 -









1569







XP_002452577

Sorghum

561
601
791
 770 -






bicolor




 790








792
 770 -









 790








793
 770 -









 790








794
 770 -









 790








795
 770 -









 790







ACN34324

Zea

555
595
796
1445 -






mays




1465








797
1445 -









1465








798
1445 -









1465








799
1445 -









1465








800
1445 -









1465





Predicted
ACGACG
XP_002447337

Sorghum

573
613
801
 120 -


siRNA
AGGACT


bicolor




 138


58721
TCGAGA




802
 120 -



CG/186





 138








803
 120 -









 138








804
 120 -









 138








805
 120 -









 138







NP_001183362

Zea

554
594
806
 435 -






mays




 453








807
 435 -









 453








808
 435 -









 453








809
 435 -









 453








810
 435 -









 453





Predicted
AGCAGA
XP_002447941

Sorghum

574
614
811
 503 -


siRNA
ATGGAG


bicolor




 526


57179
GAAGAG




812
 503 -



ATGG/180





 526








813
 503 -









 526








814
 503 -









 526








815
 503 -









 526









Table 13. Provided are miRNA-Resistant Target Examples for Selected miRNAs of the Invention.









TABLE 14







Target Mimic Examples for Selected miRNAs of the Invention









Mir

Bulge Reverse Complement miR/SEQ


name
Mir sequence/SEQ ID NO:
ID NO:





aqc-
AGAAGAGAGAGAGCACAACCC/
GGGTTGTGCTCCTATCTCTCTTCT/


miR529
58
822





ath-
CTTGAGAGAGAGAACACAGAC
CGTCTGTGTTCTCTACTCTCTCAAG/


miR2936
G/59
823





mtr-
TGAGCCAGGATGACTTGCCGG/
CCGGCAAGTCACTATCCTGGCTCA/


miR169q
61
824





mtr-
ATTCACGGGGACGAACCTCCT/
AGGAGGTTCGTCTACCCCGTGAAT/


miR2647a
816
825





mtr-
ATGAAGTGTTTGGGGGAACTC/
GAGTTCCCCCACTAAACACTTCAT/


miR395c
62
826





osa-
TGGTGAGCCTTCCTGGCTAAG/4
CTTAGCCAGGACTAAGGCTCACCA/


miR1430

827





osa-
TCACGGAAAACGAGGGAGCAG
TGGCTGCTCCCTCGCTATTTTCCGT


miR1868
CCA/5
GA/828





osa-
CCTGAGGGGAAATCGGCGGGA/
TCCCGCCGATTCTATCCCCTCAGG/


miR2096-
6
829


3p







osa-
GTGAAGTGTTTGGGGGAACTC/
GAGTTCCCCCACTAAACACTTCAC/


miR395m
63
830





peu-
GGCCGGGGGACGGGCTGGGA/
TCCCAGCCCGCTATCCCCCGGCC/


miR2911
64
831





Predicted
AAAAAAGACTGAGCCGAATTG
TTTCAATTCGGCTCCTAAGTCTTTT


folded
AAA/65
TT/832


24-nts-




long seq




50703







Predicted
AACTAAAACGAAACGGAAGGA
TACTCCTTCCGTTTCTACGTTTTAG


folded
GTA/8
TT/833


24-nts-




long seq




50935







Predicted
AAGGAGTTTAATGAAGAAAGA
CTCTCTTTCTTCATCTATAAACTCC


folded
GAG/66
TT/834


24-nts-




long seq




51022







Predicted
AAGGTGCTTTTAGGAGTAGGA
CCGTCCTACTCCTACTAAAAGCAC


folded
CGG/9
CTT/835


24-nts-




long seq




51052







Predicted
ACAAAGGAATTAGAACGGAAT
GCCATTCCGTTCTACTAATTCCTTT


folded
GGC/10
GT/836


24-nts-




long seq




51215







Predicted
ACTGATGACGACACTGAGGAG
AGCCTCCTCAGTGTCTACGTCATC


folded
GCT/67
AGT/837


24-nts-




long seq




51381







Predicted
AGAATCAGGAATGGAACGGCT
CGGAGCCGTTCCATCTATCCTGAT


folded
CCG/11
TCT/838


24-nts-




long seq




51468







Predicted
AGAATCAGGGATGGAACGGCT
TAGAGCCGTTCCATCTACCCTGAT


folded
CTA/12
TCT/839


24-nts-




long seq




51469







Predicted
AGAGGAACCAGAGCCGAAGCC
AACGGCTTCGGCTCCTATGGTTCC


folded
GTT/68
TCT/840


24-nts-




long seq




51542







Predicted
AGAGTCACGGGCGAGAAGAGG
CGTCCTCTTCTCGCCTACCGTGACT


folded
ACG/13
CT/841


24-nts-




long seq




51577







Predicted
AGGACCTAGATGAGCGGGCGG
AAACCGCCCGCTCACTATCTAGGT


folded
TTT/14
CCT/842


24-nts-




long seq




51691







Predicted
AGGACGCTGCTGGAGACGGAG
ATTCTCCGTCTCCACTAGCAGCGT


folded
AAT/15
CCT/843


24-nts-




long seq




51695







Predicted
AGGCAAGGTGGAGGACGTTGA
TCATCAACGTCCTCCTACACCTTG


folded
TGA/69
CCT/844


24-nts-




long seq




51757







Predicted
AGGGCTGATTTGGTGACAAGG
TCCCCTTGTCACCACTAAATCAGC


folded
GGA/70
CCT/845


24-nts-




long seq




51802







Predicted
AGGGCTTGTTCGGTTTGAAGGG
ACCCCTTCAAACCGCTAAACAAGC


folded
GT/16
CCT/846


24-nts-




long seq




51814







Predicted
ATATAAAGGGAGGAGGTATGG
GGTCCATACCTCCTCTACCCTTTAT


folded
ACC/71
AT/847


24-nts-




long seq




51966







Predicted
ATCGGTCAGCTGGAGGAGACA
ACCTGTCTCCTCCACTAGCTGACC


folded
GGT/72
GAT/848


24-nts-




long seq




52041







Predicted
ATCTTTCAACGGCTGCGAAGA
CCTTCTTCGCAGCCCTAGTTGAAA


folded
AGG/17
GAT/849


24-nts-




long seq




52057







Predicted
ATGGTAAGAGACTATGATCCA
AGTTGGATCATAGTCTACTCTTAC


folded
ACT/73
CAT/850


24-nts-




long seq




52109







Predicted
CAATTTTGTACTGGATCGGGGC
ATGCCCCGATCCAGCTATACAAAA


folded
AT/74
TTG/851


24-nts-




long seq




52212







Predicted
CAGAGGAACCAGAGCCGAAGC
ACGGCTTCGGCTCTCTAGGTTCCT


folded
CGT/75
CTG/852


24-nts-




long seq




52218







Predicted
CGGCTGGACAGGGAAGAAGAG
GTGCTCTTCTTCCCCTATGTCCAGC


folded
CAC/76
CG/853


24-nts-




long seq




52299







Predicted
CTAGAATTAGGGATGGAACGG
GAGCCGTTCCATCCCTACTAATTC


folded
CTC/18
TAG/854


24-nts-




long seq




52327







Predicted
GAAACTTGGAGAGATGGAGGC
AAAGCCTCCATCTCCTATCCAAGT


folded
TTT/77
TTC/855


24-nts-




long seq




52347







Predicted
GAGAGAGAAGGGAGCGGATCT
ACCAGATCCGCTCCCTACTTCTCTC


folded
GGT/78
TC/856


24-nts-




long seq




52452







Predicted
GAGGGATAACTGGGGACAACA
CCGTGTTGTCCCCACTAGTTATCCC


folded
CGG/19
TC/857


24-nts-




long seq




52499







Predicted
GCGGAGTGGGATGGGGAGTGT
GCAACACTCCCCATCTACCCACTC


folded
TGC/20
CGC/858


24-nts-




long seq




52633







Predicted
GCTGCACGGGATTGGTGGAGA
ACCTCTCCACCAATCTACCCGTGC


folded
GGT/79
AGC/859


24-nts-




long seq




52648







Predicted
GGAGACGGATGCGGAGACTGC
CCAGCAGTCTCCGCCTAATCCGTC


folded
TGG/21
TCC/860


24-nts-




long seq




52688







Predicted
GGCTGCTGGAGAGCGTAGAGG
GGTCCTCTACGCTCCTATCCAGCA


folded
ACC/80
GCC/861


24-nts-




long seq




52739







Predicted
GGGTTTTGAGAGCGAGTGAAG
CCCCTTCACTCGCTCTACTCAAAA


folded
GGG/81
CCC/862


24-nts-




long seq




52792







Predicted
GGTATTGGGGTGGATTGAGGT
TCCACCTCAATCCACTACCCCAAT


folded
GGA/82
ACC/863


24-nts-




long seq




52795







Predicted
GGTGGCGATGCAAGAGGAGCT
TTGAGCTCCTCTTGCTACATCGCC


folded
CAA/83
ACC/864


24-nts-




long seq




52801







Predicted
GGTTAGGAGTGGATTGAGGGG
ATCCCCCTCAATCCCTAACTCCTA


folded
GAT/22
ACC/865


24-nts-




long seq




52805







Predicted
GTCAAGTGACTAAGAGCATGT
ACCACATGCTCTTACTAGTCACTT


folded
GGT/3
GAC/866


24-nts-




long seq




52850







Predicted
GTGGAATGGAGGAGATTGAGG
TCCCCTCAATCTCCCTATCCATTCC


folded
GGA/24
AC/867


24-nts-




long seq




52882







Predicted
GTTGCTGGAGAGAGTAGAGGA
ACGTCCTCTACTCTCTACTCCAGC


folded
CGT/84
AAC/868


24-nts-




long seq




52955







Predicted
TGGCTGAAGGCAGAACCAGGG
CTCCCCTGGTTCTGCTACCTTCAGC


folded
GAG/25
CA/869


24-nts-




long seq




53118







Predicted
TGTGGTAGAGAGGAAGAACAG
GTCCTGTTCTTCCTCTACTCTACCA


folded
GAC/26
CA/870


24-nts-




long seq




53149







Predicted
AGGGACTCTCTTTATTTCCGAC
CCGTCGGAAATAAACTAGAGAGTC


folded
GG/27
CCT/871


24-nts-




long seq




53594







Predicted
AGGGTTCGTTTCCTGGGAGCGC
CCGCGCTCCCAGGACTAAACGAAC


folded
GG/28
CCT/872


24-nts-




long seq




53604







Predicted
TCCTAGAATCAGGGATGGAAC
GCCGTTCCATCCCTCTAGATTCTA


folded
GGC/29
GGA/873


24-nts-




long seq




54081







Predicted
TGGGAGCTCTCTGTTCGATGGC
GCGCCATCGAACAGCTAAGAGCTC


folded
GC/30
CCA/874


24-nts-




long seq




54132







Predicted
AAGACGAAGGTAGCAGCGCGA
ATATCGCGCTGCTACTACCTTCGT


siRNA
TAT/163
CTT/875


54240







Predicted
AAGAAACGGGGCAGTGAGATG
GTCCATCTCACTGCCTACCCGTTTC


siRNA
GAC/119
TT/876


54339







Predicted
AGAAAAGATTGAGCCGAATTG
AATTCAATTCGGCTCCTAAATCTTT


siRNA
AATT/120
TCT/877


54631







Predicted
AGCCAGACTGATGAGAGAAGG
CCTCCTTCTCTCATCTACAGTCTGG


siRNA
AGG/164
CT/878


54957







Predicted
AGAGCCTGTAGCTAATGGTGG
CCCACCATTAGCCTATACAGGCTC


siRNA
G/121
T/879


54991







Predicted
ACGTTGTTGGAAGGGTAGAGG
CGTCCTCTACCCTTCTACCAACAA


siRNA
ACG/165
CGT/880


55081







Predicted
AGGTAGCGGCCTAAGAACGAC
TGTGTCGTTCTTAGCTAGCCGCTA


siRNA
ACA/122
CCT/881


55111







Predicted
CAAGTTATGCAGTTGCTGCCT/
AGGCAGCAACTCTAGCATAACTTG/


siRNA
166
882


55393







Predicted
CAGAATGGAGGAAGAGATGGT
CACCATCTCTTCCTACTCCATTCTG/


siRNA
G/167
883


55404







Predicted
CATGTGTTCTCAGGTCGCCCC/
GGGGCGACCTGCTAAGAACACAT


siRNA
200
G/884


55413







Predicted
CCTATATACTGGAACGGAACG
AGCCGTTCCGTTCCCTAAGTATAT


siRNA
GCT/123
AGG/885


55423







Predicted
ATCTGTGGAGAGAGAAGGTTG
GGGCAACCTTCTCTCTACTCCACA


siRNA
CCC/168
GAT/886


55472







Predicted
ATGTCAGGGGGCCATGCAGTA
ATACTGCATGGCCTACCCCTGACA


siRNA
T/169
T/887


55720







Predicted
ATCCTGACTGTGCCGGGCCGGC
GGGCCGGCCCGGCACTACAGTCAG


siRNA
CC/170
GAT/888


55732







Predicted
CTATATACTGGAACGGAACGG
AAGCCGTTCCGTTCCTACAGTATA


siRNA
CTT/124
TAG/889


55806







Predicted
CGAGTTCGCCGTAGAGAAAGC
AGCTTTCTCTACCTAGGCGAACTC


siRNA
T/171
G/890


56034







Predicted
GACGAGATCGAGTCTGGAGCG
GCTCGCTCCAGACTCTACGATCTC


siRNA
AGC/125
GTC/891


56052







Predicted
GAGTATGGGGAGGGACTAGGG
TCCCTAGTCCCTCTACCCCATACTC/


siRNA
A/126
892


56106







Predicted
GACTGATTCGGACGAAGGAGG
AACCCTCCTTCGTCCTACGAATCA


siRNA
GTT/172
GTC/893


56162







Predicted
GTCTGAACACTAAACGAAGCA
TGTGCTTCGTTTACTAGTGTTCAGA


siRNA
CA/173
C/894


56205







Predicted
GACGTTGTTGGAAGGGTAGAG
GTCCTCTACCCTTCCTACAACAAC


siRNA
GAC/174
GTC/895


56277







Predicted
GCTACTGTAGTTCACGGGCCGG
GGCCGGCCCGTGAACTACTACAGT


siRNA
CC/175
AGC/896


56307







Predicted
GACGAAATAGAGGCTCAGGAG
CCTCTCCTGAGCCTCTACTATTTCG


siRNA
AGG/127
TC/897


56353







Predicted
GGATTCGTGATTGGCGATGGG
CCCCATCGCCAACTATCACGAATC


siRNA
G/128
C/898


56388







Predicted
GGTGAGAAACGGAAAGGCAGG
TGTCCTGCCTTTCCCTAGTTTCTCA


siRNA
ACA/129
CC/899


56406







Predicted
GGTATTCGTGAGCCTGTTTCTG
AACCAGAAACAGGCTCTACACGA


siRNA
GTT/176
ATACC/900


56425







Predicted
GTGTCTGAGCAGGGTGAGAAG
AGCCTTCTCACCCTCTAGCTCAGA


siRNA
GCT/130
CAC/901


56443







Predicted
GTTTTGGAGGCGTAGGCGAGG
ATCCCTCGCCTACGCTACCTCCAA


siRNA
GAT/131
AAC/902


56450







Predicted
TGGGACGCTGCATCTGTTGAT/
ATCAACAGATGCTACAGCGTCCCA/


siRNA
132
903


56542







Predicted
TCTATATACTGGAACGGAACG
AGCCGTTCCGTTCCCTAAGTATAT


siRNA
GCT/133
AGA/904


56706







Predicted
TGGAAGGAGCATGCATCTTGA
CTCAAGATGCATCTAGCTCCTTCC


siRNA
G/177
A/905


56837







Predicted
GTTGTTGGAGGGGTAGAGGAC
GACGTCCTCTACCCCTACTCCAAC


siRNA
GTC/134
AAC/906


56856







Predicted
TTCTTGACCTTGTAAGACCCA/
TGGGTCTTACACTAAGGTCAAGAA/


siRNA
178
907


56965







Predicted
AATGACAGGACGGGATGGGAC
CCCGTCCCATCCCGCTATCCTGTC


siRNA
GGG/135
ATT/908


57034







Predicted
ACGGAACGGCTTCATACCACA
TATTGTGGTATGAACTAGCCGTTC


siRNA
ATA/136
CGT/909


57054







Predicted
AGCAGAATGGAGGAAGAGATG
CCATCTCTTCCTCTACCATTCTGCT/


siRNA
G/179
910


57088







Predicted
CTGGACACTGTTGCAGAAGGA
TCCTCCTTCTGCAACTACAGTGTCC


siRNA
GGA/180
AG/911


57179







Predicted
GAAATAGGATAGGAGGAGGGA
TCATCCCTCCTCCTCTAATCCTATT


siRNA
TGA/181
TC/912


57181







Predicted
GACGGGCCGACATTTAGAGCA
CCGTGCTCTAAATGCTATCGGCCC


siRNA
CGG/137
GTC/913


57193







Predicted
GGCACGACTAACAGACTCACG
GCCCGTGAGTCTGTCTATAGTCGT


siRNA
GGC/182
GCC/914


57228







Predicted
AATCCCGGTGGAACCTCCA/183
TGGAGGTTCCTACACCGGGATT/915


siRNA




57685







Predicted
ACACGACAAGACGAATGAGAG
TCTCTCTCATTCGTCTACTTGTCGT


siRNA
AGA/184
GT/916


57772







Predicted
ACGACGAGGACTTCGAGACG/
CGTCTCGAAGCTATCCTCGTCGT/917


siRNA
185



57863







Predicted
ACGGATAAAAGGTACTCT/138
AGAGTACCCTATTTTATCCGT/918


siRNA




57884







Predicted
AGTATGTCGAAAACTGGAGGG
GCCCTCCAGTTTCTATCGACATAC


siRNA
C/139
T/919


58292







Predicted
ATAAGCACCGGCTAACTCT/140
AGAGTTAGCCTACGGTGCTTAT/920


siRNA




58362







Predicted
ATTCAGCGGGCGTGGTTATTGG
TGCCAATAACCACGCTACCCGCTG


siRNA
CA/141
AAT/921


58665







Predicted
CAAAGTGGTCGTGCCGGAG/186
CTCCGGCACCTAGACCACTTTG/922


siRNA




58721







Predicted
CAGCGGGTGCCATAGTCGAT/
ATCGACTATGCTAGCACCCGCTG/923


siRNA
142



58872







Predicted
CAGCTTGAGAATCGGGCCGC/
GCGGCCCGATCTATCTCAAGCTG/924


siRNA
187



58877







Predicted
TTTGCGACACGGGCTGCTCT/
AGAGCAGCCCCTAGTGTCGCAAA/


siRNA
161
925


58924







Predicted
CATTGCGACGGTCCTCAA/143
TTGAGGACCTACGTCGCAATG/926


siRNA




58940







Predicted
CCCTGTGACAAGAGGAGGA/
TCCTCCTCTCTATGTCACAGGG/927


siRNA
188



59032







Predicted
CCTGCTAACTAGTTATGCGGAG
GCTCCGCATAACTCTAAGTTAGCA


siRNA
C/189
GG/928


59102







Predicted
CGAACTCAGAAGTGAAACC/190
GGTTTCACTCTATCTGAGTTCG/929


siRNA




59123







Predicted
CGCTTCGTCAAGGAGAAGGGC/
GCCCTTCTCCTCTATGACGAAGCG/


siRNA
191
930


59235







Predicted
CTCAACGGATAAAAGGTAC/144
GTACCTTTTCTAATCCGTTGAG/931


siRNA




59380







Predicted
CTTAACTGGGCGTTAAGTTGCA
ACCCTGCAACTTAACGCTACCCAG


siRNA
GGGT/192
TTAAG/932


59485







Predicted
GACAGTCAGGATGTTGGCT/145
AGCCAACATCTACCTGACTGTC/933


siRNA




59626







Predicted
GACTGATCCTTCGGTGTCGGCG/
CGCCGACACCGACTAAGGATCAGT


siRNA
146
C/934


59659







Predicted
GCCGAAGATTAAAAGACGAGA
TCGTCTCGTCTTTTCTAAATCTTCG


siRNA
CGA/147
GC/935


59846







Predicted
GCCTTTGCCGACCATCCTGA/
TCAGGATGGTCTACGGCAAAGGC/


siRNA
148
936


59867







Predicted
GGAATCGCTAGTAATCGTGGA
ATCCACGATTACCTATAGCGATTC


siRNA
T/149
C/937


59952







Predicted
GGACGAACCTCTGGTGTACC/
GGTACACCAGCTAAGGTTCGTCC/938


siRNA
193



59954







Predicted
GGAGCAGCTCTGGTCGTGGG/
CCCACGACCACTAGAGCTGCTCC/939


siRNA
150



59961







Predicted
GGAGGCTCGACTATGTTCAAA/
TTTGAACATAGCTATCGAGCCTCC/


siRNA
151
940


59965







Predicted
GGAGGGATGTGAGAACATGGG
GCCCATGTTCTCCTAACATCCCTCC/


siRNA
C/152
941


59966







Predicted
GGCGCTGGAGAACTGAGGG/
CCCTCAGTTCTACTCCAGCGCC/942


siRNA
194



59993







Predicted
GGGGGCCTAAATAAAGACT/195
AGTCTTTATCTATTAGGCCCCC/943


siRNA




60012







Predicted
GTCCCCTTCGTCTAGAGGC/153
GCCTCTAGACTACGAAGGGGAC/944


siRNA




60081







Predicted
GTCTGAGTGGTGTAGTTGGT/
ACCAACTACACTACCACTCAGAC/945


siRNA
154



60095







Predicted
GTGCTAACGTCCGTCGTGAA/
TTCACGACGGCTAACGTTAGCAC/946


siRNA
196



60123







Predicted
GTTGGTAGAGCAGTTGGC/155
GCCAACTGCTACTCTACCAAC/947


siRNA




60188







Predicted
TACGTTCCCGGGTCTTGTACA/
TGTACAAGACCCTACGGGAACGTA/


siRNA
156
948


60285







Predicted
TAGCTTAACCTTCGGGAGGG/
CCCTCCCGAACTAGGTTAAGCTA/949


siRNA
197



60334







Predicted
TATGGATGAAGATGGGGGTG/
CACCCCCATCCTATTCATCCATA/950


siRNA
157



60387







Predicted
TCAACGGATAAAAGGTACTCC
CGGAGTACCTTTCTATATCCGTTG


siRNA
G/158
A/951


60434







Predicted
TGAGAAAGAAAGAGAAGGCTC
TGAGCCTTCTCTCTATTCTTTCTCA/


siRNA
A/198
952


60750







Predicted
TGATGTCCTTAGATGTTCTGGG
GCCCAGAACATCTCTAAAGGACAT


siRNA
C/199
CA/953


60803







Predicted
TGCCCAGTGCTTTGAATG/159
CATTCAAACTAGCACTGGGCA/954


siRNA




60837







Predicted
TGCGAGACCGACAAGTCGAGC/
GCTCGACTTGTCTACGGTCTCGCA/


siRNA
160
955


60850







Predicted
TTTGCGACACGGGCTGCTCT/
AGAGCAGCCCCTAGTGTCGCAAA/


siRNA
161
956


61382







Predicted
AAAAGAGAAACCGAAGACACA
ATGTGTCTTCGGCTATTTCTCTTTT/


zma mir
T/85
957


47944







Predicted
AAAGAGGATGAGGAGTAGCAT
CATGCTACTCCTCTACATCCTCTTT/


zma mir
G/86
958


47976







Predicted
AACGTCGTGTCGTGCTTGGGCT/
AGCCCAAGCACGCTAACACGACGT


zma mir
31
T/959


48061







Predicted
AATACACATGGGTTGAGGAGG/
CCTCCTCAACCCTACATGTGTATT/


zma mir
87
960


48185







Predicted
CACTGGACCAATACATGAGAT
AATCTCATGTATCTATGGTCCAGG


zma mir
T/32
T/961


48295







Predicted
AGAAGCGACAATGGGACGGAG
ACTCCGTCCCATCTATGTCGCTTCT/


zma mir
T/33
962


48350







Predicted
AGAAGCGGACTGCCAAGGAGG
GCCTCCTTGGCACTAGTCCGCTTCT/


zma mir
C/88
963


48351







Predicted
AGAGGGTTTGGGGATAGAGGG
GTCCCTCTATCCCCTACAAACCCT


zma mir
AC/89
CT/964


48397







Predicted
AGGAAGGAACAAACGAGGATA
CTTATCCTCGTTTCTAGTTCCTTCC


zma mir
AG/34
T/965


48457







Predicted
AGGATGCTGACGCAATGGGAT/
ATCCCATTGCGCTATCAGCATCCT/


zma mir
2
966


48486







Predicted
AGGATGTGAGGCTATTGGGGA
GTCCCCAATAGCCTACTCACATCC


zma mir
C/60
T/967


48492







Predicted
TAAGGGATGAGGCAGAGCATG/
CATGCTCTGCCCTATCATCCCTAT/


zma mir
90
968


48588







Predicted
TAGCTATTTGTACCCGTCACCG/
CGGTGACGGGTACTACAAATAGCA


zma mir
91
T/969


48669







Predicted
ATGTGGATAAAAGGAGGGATG
TCATCCCTCCTTCTATTATCCACAT/


zma mir
A/92
970


48708







Predicted
CAACAGGAACAAGGAGGACCA
ATGGTCCTCCTTCTAGTTCCTGTTG/


zma mir
T/93
971


48771







Predicted
CCAAGAGATGGAAGGGCAGAG
GCTCTGCCCTTCCTACATCTCTTGG/


zma mir
C/35
972


48877







Predicted
CCAAGTCGAGGGCAGACCAGG
GCCTGGTCTGCCCTACTCGACTTG


zma mir
C/1
G/973


48879







Predicted
CGACAACGGGACGGAGTTCAA/
TTGAACTCCGTCTACCCGTTGTCG/


zma mir
36
974


48922







Predicted
TCGAGTTGAGAAAGAGATGCT/
AGCATCTCTTTCTACTCAACTCAG/


zma mir
94
975


49002







Predicted
TCGATGGGAGGTGGAGTTGCA
ATGCAACTCCACCTACTCCCATCA


zma mir
T/95
G/976


49003







Predicted
CTGGGAAGATGGAACATTTTG
ACCAAAATGTTCCCTAATCTTCCC


zma mir
GT/96
AG/977


49011







Predicted
GAAGATATACGATGATGAGGA
CTCCTCATCATCCTAGTATATCTTC/


zma mir
G/97
978


49053







Predicted
GAATCTATCGTTTGGGCTCAT/
ATGAGCCCAAACTACGATAGATTC/


zma mir
98
979


49070







Predicted
AGCGAGCTACAAAAGGATTCG/
CGAATCCTTTTCTAGTAGCTCGTC/


zma mir
99
980


49082







Predicted
GAGGATGGAGAGGTACGTCAG
TCTGACGTACCTCTACTCCATCCTC/


zma mir
A/37
981


49123







Predicted
AGTGACGAGGAGTGAGAGTAG
CCTACTCTCACTCTACCTCGTCATC/


zma mir
G/100
982


49155







Predicted
AGTGGGTAGGAGAGCGTCGTG
CACACGACGCTCTCTACCTACCCA


zma mir
TG/38
TC/983


49161







Predicted
AGTGGTTCATAGGTGACGGTA
CTACCGTCACCTCTAATGAACCAT


zma mir
G/39
C/984


49162







Predicted
GGGAGCCGAGACATAGAGATG
ACATCTCTATGTCTACTCGGCTCCC


zma mir
T/40
/985


49262







Predicted
GGGCATCTTCTGGCAGGAGGA
TGTCCTCCTGCCACTAGAAGATGC


zma mir
CA/101
CC/986


49269







Predicted
TGGAGGAGTGATAATGAGACG
CCGTCTCATTATCTACACTCCTCAC/


zma mir
G/41
987


49323







Predicted
TGTTGGGGCTTTAGCAGGTTTA
ATAAACCTGCTAACTAAGCCCCAA


zma mir
T/42
AC/988


49369







Predicted
ATCGGAAGAAGAGCAAGTTTT/
AAAACTTGCTCCTATTCTTCCGTA/


zma mir
102
989


49435







Predicted
TAGAAAGAGCGAGAGAACAAA
CTTTGTTCTCTCCTAGCTCTTTCTA/


zma mir
G/103
990


49445







Predicted
CTCATAGCTGGGCGGAAGAGA
ATCTCTTCCGCCCTACAGCTATGG


zma mir
T/43
A/991


49609







Predicted
TCGGCATGTGTAGGATAGGTG/
CACCTATCCTACTACACATGCCGA/


zma mir
44
992


49638







Predicted
TGATAGGCTGGGTGTGGAAGC
CGCTTCCACACCCTACAGCCTATC


zma mir
G/45
A/993


49761







Predicted
TGATATTATGGACGACTGGTT/
AACCAGTCGTCCTACATAATATCA/


zma mir
104
994


49762







Predicted
GTCAAACAGACTGGGGAGGCG
TCGCCTCCCCAGCTATCTGTTTGCA/


zma mir
A/46
995


49787







Predicted
TGGAAGGGCCATGCCGAGGAG/
CTCCTCGGCATCTAGGCCCTTCCA/


zma mir
105
996


49816







Predicted
TTGAGCGCAGCGTTGATGAGC/
GCTCATCAACGCTACTGCGCTCAA/


zma mir
106
997


49985







Predicted
TTGGATAACGGGTAGTTTGGA
ACTCCAAACTACCCTACGTTATCC


zma mir
GT/107
AA/998


50021







Predicted
TTTGGCTGACAGGATAAGGGA
CTCCCTTATCCTCTAGTCAGCCAA


zma mir
G/47
A/999


50077







Predicted
TTTTCATAGCTGGGCGGAAGA
CTCTTCCGCCCACTAGCTATGAAA


zma mir
G/48
A/1000


50095







Predicted
AACTTTAAATAGGTAGGACGG
GCGCCGTCCTACCTCTAATTTAAA


zma mir
CGC/49
GTT/1001


50110







Predicted
GACTGCCGACTCATTCACCCA/
TGGGTGAATGACTAGTCGGCAGCT/


zma mir
108
/1002


50144







Predicted
GGAATGTTGTCTGGTTCAAGG/
CCTTGAACCAGCTAACAACATTCC/


zma mir
50
1003


50204







Predicted
GTTAATGTTCGCGGAAGGCCA
GTGGCCTTCCGCCTAGAACATTAC


zma mir
C/51
A/1004


50261







Predicted
GTTACGATGATCAGGAGGAGG
ACCTCCTCCTGACTATCATCGTAC


zma mir
T/109
A/1005


50263







Predicted
GTTGTTCTCAGGTCGCCCCCG/
CGGGGGCGACCCTATGAGAACAC


zma mir
110
A/1006


50266







Predicted
GTTTGGCATGGCTCAATCAAC/52
GTTGATTGAGCCTACATGCCAACA/


zma mir

1007


50267







Predicted
CATAAAAAGAAACAGAGGGAG/
CTCCCTCTGTTCTATCTTTTTAGT/


zma mir
111
1008


50318







Predicted
GCCTGACGCCGTGCCACCTCAT/
ATGAGGTGGCACCTAGGCGTCAGC


zma mir
53
G/1009


50460







Predicted
AGCCGGCTCGACCCTTCTGC/112
GCAGAAGGGTCTACGAGCCGGTC/


zma mir

1010


50517







Predicted
GCCTGGGCCTCTTTAGACCT/54
AGGTCTAAAGCTAAGGCCCAGGC/


zma mir

1011


50545







Predicted
TGAGGATGGATGGAGAGGGTT
GAACCCTCTCCACTATCCATCCTA


zma mir
C/55
C/1012


50578







Predicted
TAGCCAAGCATGATTTGCCCG/
CGGGCAAATCACTATGCTTGGCTA/


zma mir
57
1013


50601







Predicted
TCAACGGGCTGGCGGATGTG/56
CACATCCGCCCTAAGCCCGTTGA/


zma mir

1014


50611







Predicted
TGGTAGGATGGATGGAGAGGG
ACCCTCTCCATCCTACATCCTACC


zma mir
T/113
A/1015


50670







zma-
GGCAAGTCTGTCCTTGGCTACA/
TGTAGCCAAGGACTACAGACTTGC


miR169c*
115
C/1016





zma-
TAGCCAGGGATGATTTGCCTG/
CAGGCAAATCACTATCCCTGGCTA/


miR1691
817
1017





zma-
TAGCCAGGGATGATTTGCCTG/
CAGGCAAATCACTATCCCTGGCTA/


miR1691*
818
1018





zma-
GGAATCTTGATGATGCTGCAT/
ATGCAGCATCACTATCAAGATTCC/


miRl72e
819
1019





zma-
TCATTGAGCGCAGCGTTGATG/
CATCAACGCTGCTACGCTCAATGA/


miR397a
116
1020





zma-
GGGGCGGACTGGGAACACATG/
CATGTGTTCCCCTAAGTCCGCCCC/


miR398b*
117
1021





zma-
GGGCAACTTCTCCTTTGGCAGA/
TCTGCCAAAGGACTAGAAGTTGCC


miR399f*
7
C/1022





zma-
TGCCAAAGGGGATTTGCCCGG/
CCGGGCAAATCCTACCCTTTGGCA/


miR399g
118
1023





zma-
AGAAGAGAGAGAGTACAGCCT/
AGGCTGTACTCCTATCTCTCTTCT/


miR529
821
1024





zma-
TTAGATGACCATCAGCAAACA/
TGTTTGCTGATCTAGGTCATCTAA/


miR827
820
1025





Table 14: Provided are target-mimic examples for miRNAs of some embodiments of the invention.













TABLE 15







Abbreviations of plant species









Abbreviation
Organism Name
Common Name





ahy

Arachis hypogaea

Peanut


aly

Arabidopsis lyrata


Arabidopsis lyrata



aqc

Aquilegia coerulea

Rocky Mountain Columbine


ata

Aegilops taushii

Tausch's goatgrass


ath

Arabidopsis thaliana


Arabidopsis thaliana



bdi

Brachypodium distachyon

Grass


bna

Brassica napus


Brassica napus canola (“liftit”)



bol

Brassica oleracea


Brassica oleracea wild cabbage



bra

Brassica rapa


Brassica rapa yellow mustard



ccl

Citrus clementine

Clementine


csi

Citrus sinensis

Orange


ctr

Citrus trifoliata

Trifoliate orange


gma

Glycine max


Glycine max



gso

Glycine soja

Wild soybean


hvu

Hordeum vulgare

Barley


lja

Lotus japonicus


Lotus japonicus



mtr

Medicago truncatula


Medicago truncatula - Barrel Clover (“tiltan”)



osa

Oryza sativa


Oryza sativa



pab

Picea abies

European spruce


ppt

Physcomitrella patens


Physcomitrella patens (moss)



pta

Pinus taeda


Pinus taeda - Loblolly Pine



ptc

Populus trichocarpa


Populus trichocarpa - black cotton wood



rco

Ricinus communis

Castor bean (“kikayon”)


sbi

Sorghum bicolor


Sorghum bicolor Dura



sly

Solanum lycopersicum

tomato microtom


smo

Selaginella moellendorffii


Selaginella moellendorffii



sof

Saccharum officinarum

Sugarcane


ssp

Saccharum spp

Sugarcane


tae

Triticum aestivum


Triticum aestivum



tcc

Theobroma cacao

cacao tree and cocoa tree


vvi

Vitis vinifera


Vitis vinifera Grapes



zma

Zea mays

corn





Table 15: Provided are the abbreviations and full names of various plant species.






Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.


All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting.

Claims
  • 1. A method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant, the method comprising expressing within the plant an exogenous polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NOs: 38, 1-37, 39-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836, wherein said nucleic acid sequence is capable of regulating nitrogen use efficiency of the plant, thereby improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of the plant.
  • 2. A transgenic plant exogenously expressing a polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NOs: 38, 1-37, 39-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836, wherein said nucleic acid sequence is capable of regulating nitrogen use efficiency of the plant.
  • 3. The method of claim 1, wherein said exogenous polynucleotide encodes a precursor of said nucleic acid sequence.
  • 4. The method or the transgenic plant of claim 3, wherein said precursor is at least 60% identical to SEQ ID NO: 2724, 256-259, 263, 264, 268-270, 272-309, 310-326, 1837-1841, 2269-2619, 2644-2658, 2691-2723, 2725-2741 and 2793.
  • 5. The method of claim 1, wherein said exogenous polynucleotide encodes a miRNA or a precursor thereof.
  • 6. The method of claim 1, wherein said exogenous polynucleotide encodes a siRNA or a precursor thereof.
  • 7. The method of claim 1, wherein said exogenous polynucleotide is selected from the group consisting of SEQ ID NO: 38, 1-37, 39-56, 62, 63, 110, 116, 117, 119-161, 200, 201-255, 1027-1031, 1459-1836.
  • 8. An isolated polynucleotide having a nucleic acid sequence at least 90% identical to SEQ ID NO: 38, 1-3, 8-37, 39-57, 60, 65-113, 119-200, 2691-2792 (novel mirs predicted), wherein said nucleic acid sequence is capable of regulating nitrogen use efficiency of a plant.
  • 9. The isolated polynucleotide of claim 8, wherein said polynucleotide encodes a precursor of said nucleic acid sequence.
  • 10. The isolated polynucleotide of claim 8, wherein said polynucleotide encodes a miRNA or a precursor thereof.
  • 11. The isolated polynucleotide of claim 8, wherein said polynucleotide encodes a siRNA or a precursor thereof.
  • 12. A nucleic acid construct comprising the isolated polynucleotide of claim 8 under the regulation of a cis-acting regulatory element.
  • 13. The nucleic acid construct of claim 12, wherein said cis-acting regulatory element comprises a promoter.
  • 14. The nucleic acid construct of claim 13, wherein said promoter comprises a tissue-specific promoter.
  • 15. The nucleic acid construct of claim 14, wherein said tissue-specific promoter comprises a root specific promoter.
  • 16. A method of improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant, the method comprising expressing within the plant an exogenous polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792, thereby improving nitrogen use efficiency, abiotic stress tolerance, biomass, vigor or yield of a plant.
  • 17. A transgenic plant exogenously expressing a polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792.
  • 18. An isolated polynucleotide which downregulates an activity or expression of a gene encoding an RNAi molecule having a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 57-61, 64-115, 118, 162-200, 260-262, 265-267, 271, 1032-1455, 1810-1827, 1842-2265, 2620-2643, 2742-2792.
  • 19. The method of claim 16, the transgenic plant of claim 17, wherein said polynucleotide encodes a miRNA-Resistant Target as set forth in SEQ ID NO: 616-815.
  • 20. The method of claim 16, wherein said isolated polynucleotide encodes a target mimic as set forth in SEQ ID NO: 822-1025.
  • 21. A nucleic acid construct comprising the isolated polynucleotide of claim 18 under the regulation of a cis-acting regulatory element.
  • 22. The nucleic acid construct of claim 21, wherein said cis-acting regulatory element comprises a promoter.
  • 23. The nucleic acid construct of claim 22, wherein said promoter comprises a tissue-specific promoter.
  • 24. The nucleic acid construct of claim 23, wherein said tissue-specific promoter comprises a root specific promoter.
  • 25. The method of claim 1, further comprising growing the plant under limiting nitrogen conditions.
  • 26. The method of claim 1, further comprising growing the plant under abiotic stress.
  • 27. The method of claim 26, wherein said abiotic stress is selected from the group consisting of salinity, drought, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nutrient excess, atmospheric pollution and UV irradiation.
  • 28. The method of claim 1, being a monocotyledon.
  • 29. The method of claim 1, being a dicotyledon.
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/IB2012/054147 8/14/2012 WO 00 6/19/2014
Provisional Applications (1)
Number Date Country
61523370 Aug 2011 US