Drought tolerant plants produced by modification of the stay-green STGX locus
10590431 ยท 2020-03-17
Assignee
- The State of Queensland (Brisbane, AU)
- The Texas A&M University System (College Station, TX)
- Grains Research And Development Corporation (Barton, AU)
Inventors
- Andrew Kenneth Borrell (Warwick, AU)
- David Robert Jordan (Warwick, AU)
- John Mullet (College Station, TX, US)
- Patricia Klein (College Station, TX, US)
Cpc classification
C12N15/01
CHEMISTRY; METALLURGY
International classification
C12N15/82
CHEMISTRY; METALLURGY
A01H1/02
HUMAN NECESSITIES
C12N15/01
CHEMISTRY; METALLURGY
Abstract
The present disclosure teaches the generation of drought tolerant plants. The present disclosure enables manipulation of a phenotypic characteristic referred to as stay-green to facilitate drought adaptation in plants by recombinant, mutagenic and/or breeding and selection methods. Plant management practice systems to increase crop yield and harvest efficiency in water-limited environments are also taught herein.
Claims
1. A method for increasing water use efficiency in a sorghum plant, said method comprising: introducing into a sorghum plant by recombinant DNA technology a recombinant nucleic acid molecule comprising a nucleic acid sequence that encodes a Sorghum bicolor member of the auxin efflux carrier component 2 family (SbPIN2 ) protein wherein said nucleic acid sequence encoding the SbPIN2 protein consists essentially of a nucleic acid sequence corresponding to base pair 57449784 to base pair 57453744 of Sorghum Gene ID SBO3g029320 (SbPIN2 ), and wherein expression of the nucleic acid molecule confers increased water use efficiency in the sorghum plant compared to a sorghum plant lacking the recombinant nucleic acid molecule.
2. The method of claim 1 wherein the increased water use efficiency includes enhanced canopy architecture plasticity.
3. The method of claim 1, further comprising introducing into the sorghum plant by recombinant DNA technology a recombinant nucleic acid molecule comprising a nucleic acid sequence that encodes an SbPIN, wherein said nucleic acid sequence encoding the SbPIN is selected from the group consisting of: (i) a nucleic acid sequence corresponding to base pair 64347327 to base pair 64350341 of Sorghum Gene ID Sb02g029210 (SbPIN1 ); (ii) a nucleic acid sequence corresponding to base pair 61297480 to base pair 61299969 of Sorghum Gene ID Sb03g032850 (SbPIN3 ); (iii) a nucleic acid sequence corresponding to base pair 65310051 to base pair 65313194 of Sorghum Gene ID Sb03g037350 (SbPIN4 ); (iv) a nucleic acid sequence corresponding to base pair 71204119 to base pair 71206483 of Sorghum Gene ID Sb03g043960 (SbPIN5 ); (v) a nucleic acid sequence corresponding to base pair 58261350 to base pair 58264959 of Sorghum Gene ID Sb04g028170 (SbPIN6 ); (vi) a nucleic acid sequence corresponding to base pair 2304407 to base pair 2307630 of Sorghum Gene ID Sb05g002150 (SbPIN7 ); (vii) a nucleic acid sequence corresponding to base pair 61560708 to base pair 61563133 of Sorghum Gene ID Sb07g026370 (SbPIN8 ); (viii) a nucleic acid sequence corresponding to base pair 3915101 to base pair 3917519 of Sorghum Gene ID Sb10g004430 (SbPIN9 ); (ix) a nucleic acid sequence corresponding to base pair 8438481 to base pair 3917519 of Sorghum Gene ID Sb10g008290 (SbPIN10 ); and (x) a nucleic acid sequence corresponding to base pair 55747009 to base pair 55751104 of Sorghum Gene ID Sb10g026300 (SbPIN11 ).
Description
BRIEF DESCRIPTION OF THE FIGURES
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DETAILED DESCRIPTION
(73) Throughout this specification, unless the context requires otherwise, the word comprise, or variations such as comprises or comprising, will be understood to imply the inclusion of a stated element or integer or method step or group of elements or integers or method steps but not the exclusion of any other element or integer or method step or group of elements or integers or method steps.
(74) As used in the subject specification, the singular forms a, an and the include plural aspects unless the context clearly dictates otherwise. Thus, for example, reference to a locus includes a single locus, as well as two or more loci; reference to an auxin includes a single auxin, as well as two or more auxins; reference to the disclosure includes a single and multiple aspects taught by the disclosure. Aspects taught, described and/or claimed is herein are encompassed by the term invention. All aspects taught herein are enabled within the width of the disclosure and its claims.
(75) The present disclosure teaches loci associated with and which facilitate the stay-green phenotype in crop including cereal plants. The loci are referred generically as StgX wherein X is a numeral from 1 and above corresponding to a genetic locus or genetic loci region on a particular chromosome in a crop plant. A sub-region is referred to as StgXm where m is an alphabetical designation of a region within StgX. The level and/or location of expression of an StgX locus is taught herein to facilitate a physiological and genetic network which induces or promotes a shift in water use by the crop plant to the post-arithesis period or increased accessibility of water during crop growth or increased transpiration efficiency thereby increasing harvest index (HI) and grain yield under water-limited conditions. Expression of an StgX includes up-regulating or down-regulating expression levels as well as selection of a polymorphic variant which is expressed at a higher level or which encodes a more active or efficient product. An example of a physiological network includes a plant canopy architecture which induces or promotes a shift in water use by the crop plant to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency thereby increasing harvest index (HI) and grain yield under water-limited conditions. The locus may itself confer this phenotype or a functional equivalent thereof such as a eDNA encoding a protein encoded by the locus. Hence, manipulation of the stay-green phenotype may be by recombinant engineering, breeding and selection as well as by chemical, radioactive or genetic mutagenesis followed by selection.
(76) In an embodiment, X is 1 and the region is Stg1 on, chromosome 3 between markers txp581 and txp38 of sorghum or its equivalent in another plant genome. In another embodiment, X is 2 and the region is Stg2 on chromosome 3 between markers txp530 and txp31 of sorghum or its equivalent in another plant genome. In yet another embodiment, X is 3 and the region is Stg3 is divided into Stg3a (region between txp298 and sPb-2568) and Stg3b (region between sPb-2568 and txp179) of sorghum or its equivalent in another plant genome. In still another embodiment, X is 4 and the region is Stg4 on chromosome 5 between markers txp583 and txp15 of sorghum or its equivalent in another plant genome. These markers or markers adjacent or proximal thereto are also useful in breeding programs to generate plants which exhibit the stay-green phenotype in sorghum or other plants.
(77) Accordingly, enabled herein is a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into the plant or a parent of the plant an agent selected form the list consisting of: (i) a genetic agent comprising one or more loci, located in a region selected from Stg1 on chromosome 3 between txp581 and txp38; Stg2 on chromosome 3 between txp530 and txp31; Stg3a (region between txp298 and sPb-2568); Stg3b (region between sPb-2568 and txp179); and Stg4 on chromosome 5 between txp283 and txp15 of sorghum or its equivalent in another plant, the level of expression of which, is associated with or facilitates a stay-green phenotype, which phenotype includes a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water-limited conditions; and (ii) an agent which up-regulates or down-regulates an indigenous form of the locus or loci.
(78) In an embodiment, the StgX regions are defined as follows Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes. These markers or markers adjacent or proximal thereto are also useful in breeding programs to generate plants which exhibit the stay-green phenotype in sorghum or other plants.
(79) Accordingly, enabled herein is a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into the plant or a parent of the plant an agent selected form the list consisting of Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes; sorghum or its equivalent in another plant, the level of expression of which, is associated with or facilitates a stay-green phenotype, which phenotype includes a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water-limited conditions; and an agent which up-regulates or down-regulates an indigenous form of the locus or loci.
(80) Accordingly, enabled herein is a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into the plant or a parent of the plant an agent selected form the list consisting of a locus selected from Table 1B of sorghum or its equivalent in another plant, the level of expression of which, is associated with or facilitates a stay-green phenotype, which phenotype includes a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water-limited conditions; and an agent which up-regulates or down-regulates an indigenous form of the locus or loci.
(81) Accordingly, enabled herein is a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into the plant or a parent of the plant an agent selected form the list consisting of a locus selected from Table 1A of sorghum or its equivalent in another plant, the level of expression of which, is associated with or facilitates a stay-green phenotype, which phenotype includes a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water-limited conditions; and an agent which up-regulates or down-regulates an indigenous form of the locus or loci.
(82) Without intending to limit the present teachings to any one theory or mode of action, the level of expression of StgX alone or in combination with the operation of a genetic or physiological network alters plant architecture including plant canopy architecture to enhance or otherwise promote efficient water use. In one aspect, the modified architecture is modified plant canopy architecture.
(83) The term progeny includes immediate progeny as well as distant relatives of the plant, as long as it stably expresses the StgX trait first introduced to an earlier parent:
(84) Reference to a crop plant includes a cereal plant. The crop plants enabled herein include sorghum, wheat, oats, maize, barley, rye and rice, abaca, alfalfa, almond, apple, asparagus, banana, bean-phaseolus, blackberry, broad bean, canola, cashew, cassava, chick pea, citrus, coconut, coffee, corn, cotton, fig, flax, grapes, groundnut, hemp, kenaf, lavender, mano, mushroom, olive, onion, pea, peanut, pear, pearl millet, potato, ramie, rapseed, ryegrass, soybean, strawberry, sugarbeet, sugarcane, sunflower, sweetpotato, taro, tea, tobacco, tomato, triticale, truffle and yarn. In an example, the drought tolerance mechanisms of sorghum are used to promote drought tolerance in sorghum as well as other crop plants. In an example, the genetically modified plant uses water more efficiently than a non-genetically modified plant of the same species. A genetically modified plant may be produced by recombinant DNA means, selected via a breeding protocol and/or selected following a mutagenesis procedure.
(85) By drought tolerance includes drought escape, drought adaptation, drought resistance, reduced sensitivity to drought conditions, drought insensitive, enhanced water use efficiency as well as an ability to shift water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency, thereby increasing HI and grain yield under water-limited conditions. Plants exhibiting drought tolerance are described as drought adapted plants or plants exhibiting reduced sensitivity to water-limited conditions. It is taught herein that drought tolerance is induced, facilitated by or otherwise associated with the stay-green phenotype.
(86) By genetically modified, in relation to a plant, includes an originally derived genetically modified plant as well as any progeny, immediate or distant which stably express the stay-green trait. Hence, the present disclosure teaches both classical breeding techniques to introduce the genetic agent, i.e. a stay-green locus or loci or a functional equivalent thereof such as cDNA or a genomic fragment or an agent which alters expression of the locus or the protein encoded thereby as well as genetic engineering technology. The latter is encompassed by the terms genetic engineering means and recombinant means. Markers defining StgX can also be screened during breeding protocols to monitor transfer of particular genetic regions. Furthermore, a specific StgX or StgX region can be genetically inserted by recombinant means into a plant cell or plant callus and a plantlet regenerated. A genetically modified plant includes a parent or any progeny as well as any products of the plant such as grain, seed, propagating material, pollen and ova. Regions defining StgX in sorghum are located at Stg1 on chromosome 3 between txp581 and txp38; Stg2 on chromosome 3 between txp530 and txp31; Stg3 is divided into Stg3a (region between txp298 and sPb-2568) and Stg3b (region between sPb-2568 and txp179) and Stg4 on chromosome 5 between txp283 and txp15. In particular, regions defining Stg in sorghum are located at Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes. The present disclosure extends to equivalent regions or equivalent loci located in these regions in non-sorghum plants.
(87) Reference to the stay-green phenotype includes characteristics selected from enhanced canopy architecture plasticity, reduced canopy size, enhanced biomass per unit leaf area at anthesis, higher transpiration efficiency, increased water use during grain filling, increased plant water status during grain filling, reduced pre:post anthesis biomass ratio, delayed senescence, increased grain yield, larger grain size, and reduced lodging.
(88) By StgX includes QTLs at Stg 1, 2, 3 (including Stg3a and Stg3b), 4, etc which represent a particular locus or group or region of loci associated with drought adaptation. In an embodiment StgX is Stg1 located on chromosome 3 between markers txp581 and txp38 of sorghum. In another embodiment, the StgX is Stg2 located on chromosome 3 between markers txp530 and txp31 of sorghum. In still another embodiment, the StgX is Stg3a (region between txp298 and sPb-2568) or Stg3b (region between sPb-2568 and txp179) of sorghum. In yet another embodiment, the StgX is Stg4 located on chromosome 5 between markers txp283 and txp15 of sorghum. In an embodiment defined is Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes. The StgX contemplated for use herein may be an isolated naturally occurring genetic element or a particular variation may be artificially induced or selected through classical or recombinant breeding practices. For example, a particular polymorphic variant may result in high expression levels or a more stable expression product or a product which is more or less pleiotropic within a genetic or physiological network. Reference to an StgX includes a cDNA encoding a product as well as a genomic locus or region which may or may not include a promoter region, 5 and 3 untranslated regions, introns, exons and the like. A cDNA is an example of a functional equivalent of an StgX.
(89) The present disclosure further teaches markers for the stay-green phenotype for use in breeding programs for drought tolerant plants, the markers comprising a quantitative trait locus (QTL), stay-green X (StgX), wherein X is a numeral corresponding to the location on a chromosome within a sorghum plant or its equivalent in another plant which encodes a product which is associated with or facilitates a stay-green phenotype which phenotype includes a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water-limited conditions. Examples of suitable markers include Stg1 on chromosome 3 between txp581 and txp38; Stg2 on chromosome 3 between txp530 and txp31; Stg3 which is divided into Stg3a (region between txp298 and sPb-2568) and Stg3b (region between sPb-2568 and txp179) and Stg4 on chromosome 5 between txp283 and txp15. These markers are based on the sorghum genome but extend to the equivalents in another plant genome. Examples of suitable markers include Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes.
(90) Examples of suitable markers include a locus listed in Tables 1A through 1C.
(91) Examples of suitable markers include a locus listed in Table 1B.
(92) Hence, a set of biomarkers is enabled herein including txp581 to txp38 on chromosome 3 of sorghum; txp530 to txp31 on chromosome 3 of sorghum; txp298 to sPb-2568 and sPb-2568 to txp179 on chromosome 2 of sorghum; and txp283 to txp15 on chromosome 5 of sorghum, or the equivalent in the genome of another plant. A set of biomarkers is further enabled herein including Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15, containing 306 annotated genes. A set of biomarkers is further taught as listed in Table 1B. Such markers are useful in breeding protocols designed to generate plants exhibiting the stay-green phenotype. Alternatively, markers adjacent or proximal to these regions may be used in the breeding protocol.
(93) The present disclosure teaches the use of genetic material corresponding to an StgX or genetic material which alters expression of an indigenous StgX locus or a genetic equivalent thereof to facilitate the stay-green phenotype. An indigenous locus means a locus present in a parent plant prior to breeding, recombinant intervention or mutagenesis. By alters includes modulates.
(94) The present disclosure enables plants genetically modified according to the methods taught herein as well as seeds, fruit, flowers and other reproductive or other propagating material. The present disclosure also teaches use of root stock and propagating stock. This is based on the premise that the seeds, fruit, flowers, reproductive and propagating material exhibit or can pass on the stay-green phenotype introduced into the ultimate parent(s).
(95) Reference to an agent which up-regulates StgX includes promoters, microRNAs, genes and chemical compounds which facilitate increased expression of StgX or increased activity of a StgX product. An agent may also be an intron of a genomic StgX which is part of an natural genetic network to facilitate expression. An agent may also be a functional equivalent of a StgX (or QTL) such as a cDNA.
(96) In an embodiment, the StgX encodes a locus selected from Stg1, Stg2, Stg3a, Stg3b and Stg4 as listed in Table 1B (and Table 1A). The interaction of some of these loci in various networking pathways is shown in
(97) In an embodiment, the StgX encodes a locus selected from Stg1, Stg2, Stg3a. Stg3b and Stg4 as listed in Table 1B (and Table 1C).
(98) In an embodiment, the StgX encodes a PIN protein.
(99) A PIN protein produces an auxin gradient in cells and contains transmembrane domain and is mainly localized in the plasma membrane. PIN proteins are the rate limiting factors of auxin transport and provide vectorial direction for the auxin flows. Taught herein is that an StgX encodes a PIN protein. Introduction of a StgX de novo in a plant or elevation of its expression or the expression of its homolog or ortholog facilitates exhibition of one or more features or sub-features associated with the stay-green phenotype.
(100) As indicated above, PIN proteins are efflux carriers of auxin which mediate polar auxin transport (PAT) from cell to cell as opposed to the transport of auxin through the xylem (Rashotte et al. (2000) Plant Cell 13:1683-1697; Friml et al. (2003) Current Opinion in Plant Biology 6:7-12). The term PIN is derived from the PIN-like inflorescence which develops in Arabidopsis when auxin transport is defective. A number of PIN proteins are known (see Forestan and Varotto (2009) Plant Physiology; and Wang et al. (2009) supra). The present disclosure teaches SbPINn, where n is a numeral from 1 through 11 (Table 1A). However, the instant disclosure teaches equivalent or homolog PINs from other plants.
(101) In an embodiment, SbPIN2 (for Sorghum bicolor auxin efflux carrier component 2), is at Stg2 on chromosome 3, fine-mapped to a region between markers txp512 and txp530 and SbPIN4 is at Stg1, on chromosome 3, fine-mapped to a region between markers txp563 and txp 442 are taught herein to be responsible for the stay-green trait in sorghum resulting in a range of phenotypes that confer drought adaptation via increased water use at anthesis (due to reduced tillering and smaller leaves), increased water accessibility (due to enhanced root:shoot ratio), increased transpiration efficiency under mild water deficit (due to higher leaf nitrogen concentration), increased biomass per leaf area under terminal water deficit (due to increased transpiration per leaf area) and increased grain yield, grain size and lodging resistance. Reference to the txp markers in sorghum extends to the equivalent markers in the genome of other plants. SbPIN4 corresponds to the OsPINS and SbPIN2 corresponds to OsPIN3a. The term Os refers to rice (refer to Table 1A).
(102) Another aspect taught herein is a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into a plant or parent of the plant a one or more loci of a functional equivalent thereof or an agent which modulates expression of an indigenous one or more loci wherein the level of expression of the one or more loci causes a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water limiting conditions.
(103) The present disclosure further teaches a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into a plant or parent of the plant a locus selected from the list provided in Table 1B or a molecule which modulates expression of an indigenous locus.
(104) The present disclosure further teaches a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into a plant or parent of the plant a locus or cDNA encoding a PIN protein, or a molecule which modulates expression of an indigenous PIN locus. Examples of PINs include SbPN4 and SbPIN2 and other SbPINs listed in Table 1A as well as their equivalent in other plants.
(105) It is taught by the present disclosure that sorghum SbPIN4 and SbPIN2 are major drought adaptation genes which have been fine-mapped in multiple studies to a region between markers txp536 and txp442 on chromosone3 (Stg1) and a region between makers txp512 and txp530 on chromosome 3 (Stg2). Differences in auxin signalling explain all of the multiple phenotypes observed in plants containing SbPIN4 or 2. Another gene is SbPIN5. Phenotypes exhibited by SbPIN4 and SbPIN2 plants are explained directly by changes in auxin efflux and include reduced tillering, smaller leaves (both length and width), reduced leaf mass and increased root:shoot ratio. Phenotypes exhibited by SbPIN4 and SbPIN2 plants can also be explained indirectly (or as emergent consequences of these direct effects) and include increased availability of water at anthesis, higher leaf N concentration at anthesis, increased transpiration and biomass per unit leaf area, higher transpiration efficiency, retention of green leaf area during grain filling, increased harvest index, higher grain yield, larger grain size and increased lodging resistance. Enabled herein is that SbPIN4 or 2 is operative alone or together across other major cereal and crop species to enhance drought adaptation in localities worldwide where water limits crop growth post-anthesis.
(106) In accordance with the teachings of the present specification, the level of expression of an StgX such as Stg1, Stg2, Stg3a, Stg3b and/or Stg4 (as defined in Table 1B), (SbPIN4) and/or Stg2 (SbPIN2) [see Table 1A] in all or certain plant tissue confers or confer drought adaptation both directly, and indirectly, ultimately leading to higher grain yield, larger grain size, and lodging resistance under water-limited conditions.
(107) In accordance with the teachings of the present specification, the level of expression of an StgX such as Stg1 (SbPIN4) and/or Stg2 (SbPIN2) in all or certain plant tissue confers or confer drought adaptation both directly, and indirectly, ultimately leading to higher grain yield, larger grain size, and lodging resistance under water-limited conditions. This aspect extends to OsPIN5 which corresponds to SbPIN4 and OsPIN3a which corresponds to SbPIN2.
(108) Other PIN proteins taught herein include those listed in Table 1A and their equivalents in other plants.
(109) In yet another embodiment, StgX encodes a Spl (squamosa promoter binding protein-like) such as but not limited to Spl14.
(110) An Spl controls shoot branching and higher grain yield (see Jiao et al. (2010) supra; Miura et al. (2010) supra).
(111) In another embodiment, the present disclosure teaches a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into a plant or parent of the plant a locus or cDNA which encodes CCD7/8 or a functional homolog or ortholog thereof or an agent which modulates the level of expression of an indigenous CCD7/8 to cause a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water limiting conditions.
(112) In another embodiment, the present disclosure teaches a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into a plant or parent of the plant a locus or cDNA which encodes WFP or a functional homolog or ortholog thereof or an agent which modulates the level of expression of an indigenous WFP to cause a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water limiting conditions.
(113) In another embodiment, the present disclosure teaches a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into a plant or parent of the plant a locus or cDNA which encodes Spl or a functional homolog or ortholog thereof or an agent which modulates the level of expression of an indigenous Spl to cause a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water limiting conditions.
(114) In another embodiment, the present disclosure teaches a method for generating a genetically modified plant which uses water more efficiently than a non-genetically modified plant of the same species, the method comprising introducing into a plant or parent of the plant a locus or cDNA which encodes CCD7/8 or a functional homolog or ortholog thereof or an agent which modulates the level of expression of an indigenous CCD7/8 to cause a shift in water use to the post-anthesis period or increased accessibility of water during crop growth or increased transpiration efficiency resulting in increased harvest index and grain yield under water limiting conditions.
(115) In an embodiment, the plants are modified or selected to change the level of expression of two or more of SbPIN1 to 11, IPA-1, WFP, Spl and/or CCD7/8. This includes two or more SbPINs. By two or more includes 2, 3, 4, 5, 6, 7, 8, 9, 10 and 11.
(116) Increased water availability at anthesis is achieved via reduced water use due to two mechanisms (reduced tillering and smaller leaves) in plants containing the Stg1 or Stg2 regions. Both mechanisms, individually, appear to reduce canopy size by about 9%, on average. The low-tillering mechanism dominates in low density environments when tillering potential is high. The small-leaf mechanism dominates in high density environments when tillering potential is low. Combined, these two mechanisms provide crop plants with considerable plasticity to modify canopy architecture in response to the severity of water limitation.
(117) Stay-green enhances canopy architecture plasticity via constitutive and adaptive responses. Canopy size in Stg1 or Stg2 is reduced by about 5%, even when water is not limiting (constitutive response). Canopy size is further reduced (adaptive response) in a mild drought (10%) and more severe drought (15%). Low tillering is primarily a constitutive response. Small leaf size is both a constitutive and adaptive response.
(118) Furthermore, it is proposed herein that the Stg1 or Stg2 regions confer drought adaptation by reducing canopy size (via reduced tillering and smaller leaves) and reducing crop water use at anthesis. This is shown by a high correlation (r2=0.9) between canopy size and crop water use in artificial drought (rain-out shelter [ROS]) and lysimeter studies.
(119) Increased water availability at anthesis may also be achieved via increased water accessibility (better water extraction and deeper or greater lateral spread).
(120) Stay-green enhances biomass per unit leaf area at anthesis. Assuming root mass is equivalent (or at least not significantly less), these differences could be explained by differences in transpiration (T) per unit leaf area [LA](T/LA) and/or transpiration efficiency (TE). Lysimetry studies indicate that increases in T/LA, rather than TE, drive the observed increases in biomass per leaf area. Note that increased T/LA only occurred when water deficit was sufficient to reduce leaf area. When water deficit was less severe (i.e. not enough to reduce leaf area), then T/LA decreased, resulting in higher TE.
(121) Higher TE in StgX lines such as Stg1 or Stg2 lines is also observed when water deficit is less severe. Increased TE via introgressing Stg1 or Stg2 is proposed to be due to a) proportionally higher photosynthetic capacity compared with stomatal conductance, due to smaller, thinner and greener leaves, and/or b) a decrease in transpiration while maintaining biomass. Lysimetry studies indicate that both of these mechanisms contribute to higher TE in Stg1 or Stg2 lines, with the reduction in transpiration the primary mechanism.
(122) Changes in transpiration per unit leaf area is proposed to be due to a) number of stomata, b) size of stomatal aperture, c) changes in the timing of stomatal opening and closing relative to VPD, and/or d) the number of hair base cells (which affects the boundary layer and hence T/LA). Introgressing Stg1, for example, into RTx7000 modified leaf anatomy by increasing the number of bundle sheath cells surrounding the vascular bundle.
(123) Differences in the morphology of leaves are apparent between RTx7000 and Stg1 or Stg2. In this case, there were more and smaller bundle sheaths surrounding the vascular bundle in Stg1 or Stg2. Also, there were fewer stomata and more hair base cells per unit leaf area (leaves 7 and 10) in Stg1 or Stg2 compared with RTx7000.
(124) Increased water use during grain filling is achieved via (i) increased water availability at anthesis and (ii) increased water accessibility (better water extraction and deeper or greater lateral spread) during grain filling.
(125) Crop water use (CWU) before anthesis was negatively correlated with CWU after anthesis in an artificial drought (rain-out shelter [ROS]) experiment. Overall, a 25% increase in water use after anthesis (80 vs 60 mm) resulted in a 25% increase in grain yield (400 vs 300 g/m2). This translated to 50 kg/ha of grain for every additional mm of water available.
(126) Increased water use during the grain filling period was exhibited by Stg1 and Stg2 under both low and high density treatments in a rain-out shelter (ROS) experiment. This was due primarily to (i) reduced water use at anthesis under high density, and (ii) increased water accessibility during grain filling under low density.
(127) As taught herein, StgX such as Stg1 or Stg2 confers drought adaptation by being associated with pre- and post-anthesis biomass production. The Stg1 or Stg2 region, for example, reduce the pre:post anthesis biomass ratio below a critical level, increasing grain yield and lodging resistance.
(128) In accordance with the present teachings, the level and location of expression of StgX such as Stg1, Stg2, Stg3 (including Stg3a and Stg3b) and/or Stg4 (e.g. as defined in Table 1B) facilitates one or more of the following phenotypes:
(129) (i) delayed leaf senescence (stay-green), higher grain yield and lodging resistance are consequences of higher plant water status during grain filling (due to increased water use during grain filling);
(130) (ii) introgressing StgX into a, for example, RTx7000 background increases plant water status at mid-grain filling, as indicated by a) higher relative water content (RWC), and b) lower leaf water potential (LWP);
(131) (iii) higher grain yield and larger grain size are consequences of increased water availability during grain filling;
(132) (iv) higher grain yield, larger grain size and increased lodging resistance are not mutually exclusive (i.e. all three traits are exhibited by StgX);
(133) (v) yield and grain size advantage are relatively higher under severe terminal drought than mild terminal drought;
(134) (vi) the benefit of the stay-green genes in a, for example, RTx7000 background (inbreds) occurs in the yield range of 1-3 t/ha (12-22%), followed by a lesser but still significant benefit in the 3-4 t/ha yield range (8-10%). There was, however, a small penalty associated with these regions (2-4%) at higher yield levels (5-8 t/ha) due to wetter conditions. Note that these yield ranges would be considerably higher in hybrids. Since the average sorghum grain yield for hybrids in the northern grain belt is about 2.5 t/ha, the benefit of the stay-green genes should be significant. No reduction in grain yield under wetter conditions (water not limiting) due to stay-green has been observed in hybrids;
(vii) introgressing StgX into, for example, RTx7000 also increases grain size by 11%, on average, under severe terminal drought. There was no impact of the StgX QTL on grain size under a mild terminal drought or under no drought; and
(viii) each of the key StgX mechanisms maps to a defined region, suggesting that the action of a single gene has multiple pleiotrophic effects.
(135) The present invention further contemplates a business model to enhance economic returns from crop production. According to this embodiment, there is provided a business model is also taught herein for improved economic returns on crop yield, the model comprising generating crop plants having a selected StgX trait or elevated or reduced StgX trait resulting in the crop plant having a shift in water use by the plant to the post-anthesis period thereby increasing HI and grain yield under water-limited conditions, obtaining seed from the generated crop plant and distributing the seed to grain producers to enhance yield and profit.
(136) Taught herein is a plant management system to reduce crop reliance on water or to otherwise improve water use efficiency and to enhance grain or product yield. The plant management system includes the generation of a drought adapted crop including cereal plants using the selection and expression of an StgX locus or a functional equivalent thereof alone or in combination with the introduction of other useful traits such as grain size, root size, salt tolerance, herbicide resistance, pest resistance and the like. Alternatively or in addition, the plant management system comprises generation of drought adapted plants and agricultural procedures such as irrigation, nutrient requirements, crop density and geometry, weed control, insect control, soil aeration, reduced tillage, raised beds and the like. Examples of a StgX include Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes. Examples of loci in these regions are listed in Table 1B (and Table 1C). Examples of a StgX locus include SbPIN1 to 11, IPA-1, WFP, Sp1 and CCD7/8 and their equivalents in other plants.
(137) The disclosure teaches a means to induce or enhance drought adaptation capacity in a plant by introducing do novo one or more features of the stay-green phenotype or elevating expression of an existing one or more StgX loci in a plant and/or selecting an StgX polymorphic variant with improved or enhanced expression or product activity. The manipulation of the stay-green phenotype may be done alone or as part of an integrated plant management system which may include further trait selection and/or improved agronomical techniques. The resulting crops use water more efficiently and have a higher yield of grain and increased grain size.
(138) The business model extends to collecting seed from drought adapted or enhanced crop plants for distribution to growers to ultimately increase grain yield.
(139) The present disclosure further teaches the use of a genetic agent selected from (i) a StgX locus; (ii) a functional equivalent of the StgX locus; and (iii) an agent which modulates expression of an indigenous StgX locus in the manufacture of a drought adapted plant. A functional equivalent includes a cDNA.
(140) As taught herein, StgX loci are identified encoding one or more of a locus listed in Table 1B which, when expressed or up-regulated or down-regulated in all or selected tissues in a plant or when a particular polymorphic variant of any one or more is selected in breeding or by genetic engineering, promotes a stay-green phenotype.
(141) As taught herein, StgX loci are identified encoding one or more of SbPIN1 to 11, IPA-1, WFP, SPL and/or CCD7/8 which, when expressed or up-regulated or down-regulated in all or selected tissues in a plant or when a particular polymorphic variant of any one or more is selected in breeding or by genetic engineering, promotes a stay-green phenotype.
(142) Genetically modified plants and their progeny exhibiting the stay-green trait are also enabled herein as well as seeds, fruit and flowers and other reproductive or propagating material.
(143) In an embodiment, the locus is in Stg1 selected from PIN5, GID1L2, P45098A1, indole-3-acetate and brassinosteroid insensitive.
(144) In an embodiment, the locus is in Stg2 and is auxin efflux carrier component 3a (PIN3a).
(145) In an embodiment, the locus is in Stg3a selected from leaf senescence protein-like (Sb02g023510), leaf senescence protein-like (Sb02g023520), RAMOSA1 C2H12 zinc-finger transcription factor (Sb02g024410), putative auxin-independent growth promoter (Sb02g024540), similar to dehydration-responsive protein-like (Sb02g024670), similar to glucose transporter (Sb02g024690), WRKY transcription factor 76 (Sb02g024760), glutamine synthetase-like protein (Sb02g025100), senescence-associated protein DH (Sb02g025180), putative alanine aminotransferase (Sb02g025480), auxin-induced protein-like (Sb02g025610), auxin-induced protein-like (Sb02g025620), putative far-red impaired response protein (Sb02g025670), similar to cytochrome P450 monooxygenase CYP92A1 (Sb02g025820), auxin-independent growth promoter (Sb02g025960), asparate aminotransferase (Sb02g026430), similar to abscisic acid 8-hydroxylase 3 (Sb02g026600) similar to ethylene-binding protein-like (Sb02g026630) and putative auxin-induced protein family (Sb02g027150).
(146) In an embodiment, the locus is in Stg3b selected from putative auxin-independent growth promoter (Sb02g027470), squamosa promoter-binding-like protein 17 (Sb02g028420), similar to Os09g0505400 (OsPIN9) protein (Sb02g029210), squamosa promoter-binding-like protein 17 (Sb02g029300) similar to auxin-induced protein-like (Sb02g029630).
(147) In an embodiment, the locus is in Stg4 selected from brassinosteroid LRR receptor (Sb05g006842), brassinosteroid LRR receptor (Sb05g006860), putative far-red impaired response protein (Sb05g007130), cytochrome P450 84A1 (Sb05g007210), gibberellin receptor GID1L2 (Sb05g007270), gibberellin receptor GID1L2 (Sb05g007290), sucrose-phosphate synthase (Sb05g007310), aquaporin SIP1-1 (Sb05g007520), gibberellin 20 oxidase 2 (Sb05g008460), OsIAA29-auxin-responsive (Sb05g008510), OsIAA29-auxin-responsive (Sb05g008512), protein gibberellin receptor GID1L2 (Sb05g008610), similar to aminotransferase, putative (Sb05g009410), indole-3-acetic acid-amido (Sb05g010310), indole-3-acetic acid-amido (Sb05g010320), indole-3-acetic acid-amido (Sb05g010326), cytochrome P450 86A2 (Sb05g010360), cytochrome P450 51, putative (Sb05g011296), cytochrome P450 51, putative (Sb05g011430), triacylglycerol lipase, leaf senescence, jasmonic acid biosynthetic process_GO (Sb05g013160), growth regulator like (Sb05g015590), cytochrome P450 78A4 (Sb05g016750), similar to ABC transporter family protein, expressed (Sb05g017120) and squamosa promoter-binding-like protein 19 (Sb05g017510).
EXAMPLES
(148) Aspects taught and enabled herein are further described by the following non-limiting Examples.
Example 1
Identification of an StgX Gene
(149) A quantitative trait locus (QTL) referenced to as Stg1 which is an example of an StgX has been identified which increases or enhances water use efficiency by sorghum plants, Stg1 encodes a sorghum bicolor member of the auxin efflux carrier component 4 family, PIN4 (or SbPIN4).
(150) This major drought adaptation gene has been fine-mapped in multiple studies to a 152 gene block between markers txp563 and txp442. Changes in auxin efflux explains all of the multiple phenotypes observed in plants containing SbPIN4. The candidate gene (and promoter region) is sequenced in the two parents of the fine-mapping population (RTx7000 and Tx642) to identify a single nucleotide polymorphism. RNA expression profiling of the Stg1 fine-mapping population is also conducted for a subset of lines, times and organs. Phenotypes exhibited by SbPIN4 plants that could be explained directly by enhanced auxin availability include reduced tillering, smaller leaves (both length and width), reduced leaf mass and increased root:shoot ratio. Phenotypes exhibited by SbPIN4 plants that could be explained indirectly (or as emergent consequences of these direct effects) include increased availability of water at anthesis, higher leaf N concentration at anthesis, increased transpiration and biomass per unit leaf area, reduced pre:post anthesis biomass ratio, higher transpiration efficiency, retention of green leaf area during grain filling, increased harvest index, higher grain yield, larger grain size and increased lodging resistance. It is proposed that SbPIN4 works across other major cereal and crop species to enhance drought adaptation in localities worldwide where water limits crop growth post-anthesis.
(151) Stg1 (SbPIN4) confers drought adaptation both directly, and indirectly, ultimately leading to higher grain yield, larger grain size, and lodging resistance under water-limited conditions.
(152) Other StgX regions are defined as follows: Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp580 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes.
(153) Examples of loci are listed in Tables 1B and 1C and the interaction of some of these genes in networking pathways is shown in
(154) Increased water availability at anthesis is achieved via reduced water use due to two mechanisms (reduced tillering and smaller leaves) in plants containing the Stg1 region. Both mechanisms, individually, appear to reduce canopy size by about 9%, on average. The low-tillering mechanism dominates in low density environments when tillering potential is high. The small-leaf mechanism dominates in high density environments when tillering potential is low. Combined, these two mechanisms provide crop plants with considerable plasticity to modify canopy architecture in response to the severity of water limitation.
(155) Stay-green enhances canopy architecture plasticity via constitutive and adaptive responses. Canopy size in Stg1 is reduced by about 5%, even when water is not limiting (constitutive response). Canopy size is further reduced (adaptive response) in a mild drought (10%) and more severe drought (15%). Low tillering is primarily a constitutive response. Small leaf size is both a constitutive and adaptive response.
(156) There is a link between reduced canopy size (via reduced tillering and smaller leaves) and reduced crop water use at anthesis. High correlation (r2=0.9) between canopy size and crop water use in ROS and lysimeter studies.
(157) Increased water availability at anthesis is also achieved via increased water accessibility (better water extraction and deeper or greater lateral spread).
(158) Stay-green enhances biomass per unit leaf area at anthesis. Assuming root mass is equivalent (or at least not significantly less), these differences could be explained by differences in transpiration per unit leaf area (T/LA) and/or transpiration efficiency (TE). Lysimetry studies indicate that increases in T/LA, rather than TE, drive the observed increases in biomass per leaf area. Note that increased T/LA only occurred under low VPD conditions; T/LA was actually reduced under high VPD conditions, presumably as a water conservation mechanism.
(159) Higher TE in Stg1 lines was also observed under higher VPD conditions. Increased TE via introgressing Stg1 may be due to a) proportionally higher photosynthetic capacity compared with stomatal conductance, due to smaller, thinner and greener leaves, and/or b) a decrease in transpiration while maintaining biomass. Lysimetry studies indicate that both of these mechanisms contribute to higher TE in Stg1 lines, with the reduction in transpiration the primary mechanism.
(160) Changes in transpiration per unit leaf area could be due to a) number of stomata, b) size of stomatal aperture, c) changes in the timing of stomatal opening and closing relative to VPD, and/or d) the number of hair base cells (which affects the boundary layer and hence T/LA). Introgressing Stg1 into RTx7000 reduced the number of stomata and increased the number of hair base cells per unit leaf area in leaves 7 and 10; both mechanisms can conserve water by reducing T/LA.
(161) Introgressing Stg1 into RTx7000 modified leaf anatomy by increasing the number of bundle sheath cells surrounding the vascular bundle. The increased number of cells in the bundle sheath might also contribute to increased photosynthetic assimilation and hence TE.
(162) Differences in the morphology of leaves (e.g. Leaves 7 and 10) are apparent between Tx7000 and Stg1. In this case, there were more and smaller bundle sheaths surrounding the vascular bundle in Stg1. The increased number of cells in the bundle sheath might also contribute to increased photosynthetic assimilation and hence TE.
(163) Increased water use during grain filling is achieved via (i) increased water availability at anthesis and (ii) increased water accessibility (better water extraction and deeper or greater lateral spread) during grain filling.
(164) a) Increased Water Availability at Anthesis
(165) Crop water use (CWU) before anthesis was negatively correlated with CWU after anthesis in an ROS experiment. Overall, a 25% increase in water use after anthesis (80 vs 60 mm) resulted in a 25% increase in grain yield (400 vs 300 g/m2). This translated to 50 kg/ha of grain for every additional mm of water available.
(166) b) Increased Water Accessibility during Grain Filling
(167) Increased water use during the grain filling period was exhibited by Stg1 under both low and high density treatments in an ROS experiment. This was due primarily to (i) reduced water use at anthesis under high density, and (ii) increased water accessibility during grain filling under low density.
(168) Stg1 region confers drought adaptation via a link between pre- and post-anthesis biomass production. The Stg1 region reduces the pre:post anthesis biomass ratio below a critical level, increasing grain yield and lodging resistance.
(169) Delayed leaf senescence (stay-green), higher grain yield and lodging resistance are consequences of higher plant water status during grain filling (due to increased water use during grain filling).
(170) Introgressing Stg1 into a RTx7000 background increased plant water status at mid-grain filling, as indicated by a) higher relative water content (RWC), and b) lower leaf water potential (LWP).
(171) Higher grain yield and larger grain size are consequences of increased water availability during grain filling.
(172) Higher grain yield, larger grain size and increased lodging resistance are not mutually exclusive (i.e. all three traits are exhibited by Stg1).
(173) Yield and grain size advantage are relatively higher under severe terminal drought than mild terminal drought.
(174) Studies indicate that the greatest benefit of the stay-green genes in a RTx7000 background (inbreds) occurs in the yield range of 1-3 t/ha (12-22%), followed by a lesser but still significant benefit in the 3-4 t/ha yield range (8-10%). There was, however, a small penalty associated with these regions (2-4%) at higher yield levels (5-8 t/ha) due to wetter conditions. Note that these yield ranges would be considerably higher in hybrids. Since the average sorghum grain yield for hybrids in the northern grain belt is about 2.5 t/ha, the benefit of the stay-green genes should be significant. No reduction in grain yield under wetter conditions (water not limiting) due to stay-green has been observed in hybrids.
(175) Introgressing Stg1 into RTx7000 also increased grain size by 11%, on average, under severe terminal drought. There was no impact of this QTL on grain size under a mild terminal drought or under no drought.
(176) Each of the key Stg1 mechanisms maps to the same region, indicating the action of a single gene with multiple pleiotrophic effects.
Example 2
Reduced Tillering (Physiological Studies of NILs in the Field)
(177) Data show the impact of Stg1 on tillering under both high water (HW) and low water (LW) conditions. Differences in canopy development before flowering were largely a consequence of variation in tillering among lines. Culm number per m2 at anthesis was the best overall measure of the effect of tillering on canopy dynamics. Culm numbers per m2 were equivalent under both water regimes (12.89), indicating that reduced tillering is a constitutive trait. Genotypes varied significantly (P<0.001) in this parameter, ranging from 8.59 to 16.67. However, genotype and treatment did not interact significantly for this parameter.
(178) Culm numbers per m2 were analyzed in terms of their Stg status and category means are presented in Table 2. RTx7000 produced 41% more (P<0.05) culms/m2 than B35 (14.07 vs. 10.00). Introgression of the Stg1 region alone into RTx7000 (6078-1) reduced culms/m2 significantly (P<0.05) compared with RTx7000 (9.40 vs. 14.07). Compared with Stg1 only, additional introgressions of either Stg2 or Stg4 increased culm numbers to 10.49 (1,2 combination) and 10.74 (1,4 combination). Note that the three near-isolines containing no Stg regions (2212-3, 2235-11 and 6120-16) also exhibited high tillering equivalent to Tx7000. Hence the overall ranking of tillering in these lines is Stg1<B35<Stg4<Stg2<Stg3<none <RTx7000.
(179) At anthesis, culm numbers were highly correlated (r2=0.71) with total green leaf area (GLAA;
(180) TABLE-US-00004 TABLE 2 No of Stg status lines Culms/m2A Stg1 region 1 1 9.40 1, 2 2 10.49 1, 4 1 10.74 RTx7000 7 14.07 LSD (0.05) 4.06
(181) Culms per m2 in the recurrent parent (RTx7000) and various lines containing introgressions of the Stg1 QTL, both alone and in combination with other Stg QTL.
(182) Differences in green leaf area at anthesis (GLAA) were primarily due to differences in tiller green leaf area at anithesis (GLAAt), since GLAAt was highly correlated with GLAA (r2=0.78), yet mainstem leaf area was not.
(183) Tiller green leaf area at anthesis was analyzed in terms of Stg status and category means are presented in Table 3. RTx7000 produced almost eight-fold more (P<0.05) GLAAt than B35 (15460 vs. 1980). Introgression of the Stg1 region alone into RTx7000 (6078-1) reduced GLAAt significantly (P<0.05) compared with RTx7000 (3121 vs 15460). Compared with Stg1 only, additional introgressions of either Stg2 or Stg4 increased GLAAt to 4187 (1,2 combination) and 4797 (1,4 combination). All lines containing Stg1 (in any combination) were not significantly different (P<0.05) in GLAAt from Stg1 alone. Note that GLAAt in the three near-isolines containing no Stg regions (2212-3, 2235-11 and 6120-16) was not significantly different from RTx7000. Hence the significantly different (P<0.05) rankings of GLAAt in these lines are B35=Stg1=Stg4<Stg2=Stg3<none=RTx7000.
(184) TABLE-US-00005 TABLE 3 Tiller green leaf area at No of anthesis Stg status lines (cm2/m2) Stg1 region 1 1 3121 1, 2 2 4187 1, 4 1 4797 RTx7000 7 15460 LSD (0.05) 5282
(185) Tiller green leaf area at anthesis in the recurrent parent (RTx7000) and various lines containing introgressions of the Stg1 QTL, both alone and in combination with other Stg QTL.
(186) Green leaf area and culms per m2 at anthesis were highly correlated under high (HD) and low (LD) density treatments in the rainout shelter experiment (
Example 3
Reduced Tillering-fine Mapping Studies
(187) A Stg1 fine-mapping population was grown in the field under high and low density conditions in three consecutive years. The number of culms per plant was measured at anthesis in each year and a combined analysis was undertaken across years. Overall, RTx7000 produced 47% more culms per plant than 6078-1 (1.85 vs. 1.26;
(188) In these field studies, the trait (culm number per plant) mapped to a 60 gene block between markers txp563 and txp581 (
(189) TABLE-US-00006 TABLE 4 Gene/ Physical Start Marker Name Physical LG Position End position Length JGI annotation txp563 3 65,208,189 65,208,485 296 Sb03g037190 3 65,209,678 65,211,603 1,925 similar to Pentatricopeptide (PPR) repeat-containing protein-like Sb03g037200 3 65,222,350 65,226,307 3,957 similar to Putative diphosphonucleotide phosphatase 1 Sb03g037210 3 65,227,168 65,227,630 462 similar to Putative uncharacterized protein Sb03g037220 3 65,234,620 65,235,162 542 similar to Putative uncharacterized protein Sb03g037230 3 65,236,723 65,237,917 1,194 similar to Putative uncharacterized protein Sb03g037240 3 65,240,591 65,246,229 5,638 similar to Putative DNA-(Apurinic or apyrimidinic site) lyase Sb03g037250 3 65,246,632 65,250,387 3,755 similar to Os01g0801100 protein Sb03g037260 3 65,251,637 65,253,986 2,349 similar to Putative uncharacterized protein Sb03g037270 3 65,259,345 65,261,566 2,221 similar to Beta-1,3-glucanase precursor Sb03g037280 3 65,262,639 65,266,128 3,489 similar to Glycerol-3-phosphate dehydrogenase-like protein Sb03g037290 3 65,267,421 65,270,348 2,927 similar to Mucin-like protein Sb03g037293 3 65,272,234 65,272,633 399 similar to Os09g0292300 protein Sb03g037296 3 65,273,390 65,274,334 944 similar to Putative uncharacterized protein Sb03g037300 3 65,280,789 65,281,319 530 similar to Putative uncharacterized protein Sb03g037310 3 65,284,987 65,294,633 9,646 similar to Os01g0802000 protein Sb03g037330 3 65,295,725 65,296,295 570 weakly similar to Putative uncharacterized protein Sb03g037340 3 65,303,733 65,305,041 1,308 similar to Putative uncharacterized protein Sb03g037350 3 65,310,051 65,313,194 3,143 similar to Probable auxin efflux carrier component 5 txp441 3 65,312,684 65,313,085 401 Sb03g037360 3 65,319,087 65,321,178 2,091 similar to Phosphate/phosphoenolpyruvate translocator protein-like Sb03g037360 3 65,319,633 65,321,178 1,545 similar to Phosphate/phosphoenolpyruvate translocator protein-like Sb03g037370 3 65,334,279 65,335,675 1,396 similar to Cystatin Sb03g037370 3 65,334,279 65,335,675 1,396 similar to Cystatin Sb03g037380 3 65,339,180 65,342,378 3,198 similar to Cytochrome P450 Sb03g037390 3 65,353,300 65,355,651 2,351 similar to Putative nodulin MtN21 protein txp548 3 65,353,690 65,354,064 374 Sb03g037400 3 65,360,048 65,363,895 3,847 similar to 50S ribosomal protein L34 Sb03g037400 3 65,361,649 65,363,895 2,246 similar to 50S ribosomal protein L34 Sb03g037410 3 65,365,754 65,367,069 1,315 similar to Putative uncharacterized protein Sb03g037420 3 65,367,248 65,368,532 1,284 similar to Thylakoid lumenal 20 kDa protein-like Sb03g037423 3 65,372,022 65,374,178 2,156 similar to Putative uncharacterized protein Sb03g037426 3 65,377,633 65,377,797 164 Predicted protein Sb03g037430 3 65,379,179 65,380,287 1,108 Predicted protein Sb03g037440 3 65,382,179 65,384,675 2,496 weakly similar to Putative uncharacterized protein Sb03g037450 3 65,388,656 65,390,929 2,273 similar to Putative uncharacterized protein Sb03g037460 3 65,391,595 65,394,474 2,879 similar to Cyclin laZm Sb03g037470 3 65,395,511 65,401,947 6,436 similar to Os01g0805700 protein txp570 3 65,396,787 65,397,183 396 Sb03g037480 3 65,407,894 65,410,649 2,755 similar to Putative DNA-directed RNA polymerase II 23K chain Sb03g037480 3 65,407,894 65,410,649 2,755 similar to Putative DNA-directed RNA polymerase II 23K chain Sb03g037490 3 65,412,740 65,415,968 3,228 similar to Tubulin beta-2/beta-3 chain Sb03g037500 3 65,416,497 65,419,202 2,705 similar to Chromosome chr8 scaffold_29, whole genome shotgun sequence Sb03g037510 3 65,422,190 65,425,057 2,867 similar to F-box family protein-like Sb03g037520 3 65,432,183 65,433,007 824 similar to Putative uncharacterized protein P0702B09.7 sPb-9429 3 65,448,961 Sb03g037530 3 65,453,690 65,457,006 3,316 similar to Las1-like family protein, expressed Sb03g037540 3 65,458,431 65,461,769 3,338 similar to Putative uncharacterized protein Sb03g037550 3 65,463,190 65,467,200 4,010 similar to Putative uncharacterized protein Sb03g037560 3 65,467,680 65,472,835 5,155 similar to Ocs-element binding factor 3.2 Sb03g037570 3 65,485,324 65,487,344 2,020 similar to Putative calcium-dependent protein kinase Sb03g037575 3 65,498,061 65,503,236 5,175 weakly similar to Putative uncharacterized protein Sb03g037580 3 65,504,787 65,508,973 4,186 similar to Leucine-rich repeat protein Sb03g037590 3 65,513,699 65,516,568 2,869 similar to Dehydrogenase-like protein Sb03g037600 3 65,517,440 65,519,915 2,475 similar to Probable U3 small nucleolar RNA-associated protein 11 Sb03g037610 3 65,520,796 65,524,603 3,807 similar to Chloroplast ribonuclease III domain protein Sb03g037620 3 65,524,940 65,528,396 3,456 similar to Putative uncharacterized protein Sb03g037630 3 65,528,969 65,531,465 2,496 similar to Novel calmodulin-like protein Sb03g037640 3 65,577,963 65,582,051 4,088 similar to Proteasome subunit alpha type-3 Sb03g037645 3 65,584,698 65,588,296 3,598 similar to Proteasome subunit alpha type-3 Sb03g037650 3 65,589,894 65,590,289 395 similar to Serine protease inhibitor-like protein Sb03g037660 3 65,611,172 65,614,571 3,399 similar to SET domain protein 113 Sb03g037670 3 65,615,936 65,620,911 4,975 similar to Exostosin family protein-like txp581 3 65,634,826 65,636,402 1,576
(190) Table 4 is a list of genes located between markers txp581 and txp563. Note that a strong candidate for low tillering (auxin efflux carrier component 5) is located in an 18-gene block between markers txp563 and txp441.
Example 4
Reduced Tillering (Stg1 Fine-mapping Studies in the ROS)
(191) A subset of the Stg1 fine-mapping population was grown in the field at the Rain-Out Shelter (ROS) under high and low water conditions, with each water treatment split for high and low density. This created four water regimes with increasing levels of water deficit: HWLD (least stressed)<HWHD<LWLD<LWHD (most stressed). The number of culms per plant was measured at 44 days after emergence in each plot. Differences were most obvious in the Low Density (LD) treatment, since expression of tillering is maximized in this treatment. On average, RTx7000, 10568-2 and 10709-5 produced 27% more culms per plant than 6078-1 and 10604-5 under LWLD conditions (2.05 vs. 1.62;
Example 5
Reduced Tillering (Stg1 Fine-mapping Studies in the Igloo)
(192) Three additional fine-mapping studies were undertaken on the Stg1 population under controlled conditions in an igloo. In these studies, tillering was analyzed in more detail compared with the earlier field studies. The total number of tillers was counted and, more specifically, the number of tillers emerged from the axil of leaves 2 (T2), 3 (T3) and 4 (T4) were counted. Presence or absence of T2 was the best indicator of overall tillering potential for a given recombinant. T2 was also the best trait to use for fine-mapping the gene.
(193) In this experiment, the total number of tillers was the sum of T2, T3 and T4, where T2 was the tiller emerging from the axil of leaf 2 (and so on for T3 and T4), including secondary tillers. Significant genotypic variation was observed for all of the traits relating to tillering in this study (Table 5), with heritabilities generally above 30.
(194) TABLE-US-00007 TABLE 5 trait P-value Error trait mean (Genotype) variance avSED CV % gen.var Hsq Tillering tillerno_max 2.151 0.001 0.656 0.557 37.659 0.081 33.090 presence_T2 0.408 0.000 0.204 0.316 110.676 0.038 42.715 presence_T3 0.901 0.001 0.080 0.193 31.351 0.007 24.781 presence_T4 0.831 0.015 0.132 0.237 43.787 0.004 10.651 gleaf_T 1.658 0.001 0.880 0.656 56.558 0.117 34.700 stem_T 0.801 0.003 0.226 0.332 59.334 0.027 32.261 bio_T 2.442 0.002 2.006 0.986 58.005 0.242 32.533 bio.GLA_T_ratio 50.259 0.010 39.356 4.716 12.482 4.510 31.429
(195) Table 5 provides a summary of predicted means, P-value and heritability of tillering traits measured at the L11 harvest.
(196) Separate analysis of the T2, T3 and T4 data found that 6078-1 produced no T2 tillers in any of the four replicates, while RTx7000 produced T2 tillers in 2 of 4 replicates (
(197) Differences were also apparent in T3 numbers 6078-1 produced a T3 tiller in 1 of 4 replicates, while RTx7000 produced a T3 tiller in all 4 replicates (
(198) T4 tiller numbers also varied among genotypes. 6078-1 produced a T4 tiller in 3 of 4 replicates, while RTx7000 produced a T4 in all 4 replicates. Hence the Stg1 introgression essentially prevented the growth of T2 and T3 tillers in a RTx7000 background.
(199) A marker x trait analysis identified a 7 cM region between txa3676 and txp442 containing about 60 genes that was significant (P<0.05) for all of the key tillering traits except for the presence of T4 (Table 6), suggesting a tillering gene(s) is located in this block. Note that the top of this block is the same breakpoint (between txa3676 and txp536) as already identified by the field fine-mapping studies, validating the previous result with a more specific phenotype (T2) under controlled conditions.
(200) TABLE-US-00008 TABLE 6 markerno markername markertype cM Tillerno_max (L11) bio_T (L11) gleaf_T (L11) 1 txa2506 original 125.2-127.5 0.82 0.86 0.78 2 txp114 both 134.7-135.6 0.02 0.11 0.05 3 txa2179 original 135.6-140 0.67 0.50 0.46 4 CORN031 original 135.6-140 0.74 0.18 0.17 5 TS196 original 140-142.5 0.74 0.18 0.17 6 txp196 new 140-142.5 0.12 0.67 0.74 7 txa2961 original 142.5 0.74 0.18 0.17 8 BH245191 both 145.5-147.3 0.31 0.84 0.86 9 BG411222 original 145.5-147.3 0.03 0.04 0.04 10 txp439 new 145.5-147.3 0.52 0.67 0.75 11 txp440 new 145.5-147.3 0.36 0.67 0.72 12 txp542 new 145.5-147.3 0.58 0.27 0.25 13 txp563 new 149.1-150.3 0.30 0.36 0.36 14 txa3676 original 149.1-150.3 0.02 0.04 0.05 15 txa2986 original 150.3 0.02 0.04 0.05 16 txp581 new 150.3-151.9 0.03 0.03 0.01 17 txp587 new 151.9-156.2 0.05 0.02 0.01 18 txp446 new 151.9-156.2 0.04 0.01 0.00 19 txp442 original 151.9-156.2 0.02 0.04 0.05 20 txp38 original 158.3-161.4 0.18 0.09 0.11 21 txa3390 original 158.3-161.4 0.31 0.14 0.15 markerno stem_T (L11) GLA_T (L11) presence_T2 (L11) presence_T3 (L11) presence_T4 (L11) 1 0.98 0.65 0.02 0.52 0.03 2 0.23 0.13 0.02 0.17 0.66 3 0.59 0.36 0.37 0.21 0.28 4 0.22 0.13 0.35 0.37 0.31 5 0.22 0.13 0.35 0.37 0.31 6 0.83 0.95 0.06 0.79 0.80 7 0.22 0.13 0.35 0.37 0.31 8 0.97 0.94 0.14 0.64 0.88 9 0.03 0.02 0.29 0.06 0.05 10 0.66 0.79 0.13 0.90 0.84 11 0.56 0.77 0.03 0.86 0.81 12 0.14 0.27 0.04 0.80 0.71 13 0.32 0.24 0.04 0.88 0.85 14 0.03 0.02 0.03 0.08 0.39 15 0.03 0.02 0.03 0.08 0.39 16 0.06 0.03 0.02 0.62 0.63 17 0.04 0.03 0.04 0.38 0.74 18 0.01 0.00 0.03 0.45 0.42 19 0.03 0.02 0.03 0.08 0.39 20 0.08 0.18 0.03 0.09 0.33 21 0.14 0.22 0.04 0.16 0.21 P < 0.05 P < 0.10
(201) Table 6 is a summary of P-values for various tillering traits measured at the L11 harvest.
(202) A breakpoint analysis of those lines which, according to their genotype (BB or TT), step up or step down through the region of interest, was undertaken to further pinpoint the low-tillering gene. A very clear break was apparent, separating lines that produced a T2 tiller in 0-2 replicates (low tillering group; 8 recombinants) from those that produced a T2 tiller in 3-4 replicates (high tillering group; 8 recombinants) [Table 7,
(203) TABLE-US-00009 TABLE 7 Genoname presence_T2 (L11) presence_T3 (L11) presence_T4 (L11) tillemo_max (L11) NIL10604-1-476-2 1.013 0.714 0.795 2.551 NIL10604-1-502-11-2 0.781 1.006 0.715 2.634 NIL10604-1-318-1 0.770 0.956 0.920 2.628 NIL10604-1-451-7 0.769 0.970 0.930 2.675 NIL10604-1-502-142-1 0.768 0.993 0.956 2.809 NIL10604-1-319-1 0.757 1.043 0.938 2.678 NIL10604-1-110-2 0.752 1.034 0.972 2.761 NIL10604-1-182-1 0.714 1.016 1.001 3.090 NIL10604-1-195-5 0.498 0.914 0.467 2.016 NIL10604-1-8-1 0.487 0.758 1.024 2.235 NIL10604-1-222-1 0.481 0.695 0.917 2.071 NIL10604-1-157-5 0.472 0.527 0.519 1.729 NIL10604-1-56-7 0.419 1.026 0.899 2.296 NIL10604-1-501-327-3 0.259 0.753 0.402 1.377 NIL10604-1-477-4 0.017 1.049 1.038 2.066 NIL10604-1-359-3 0.045 1.002 0.519 1.523
(204) Table 7 shows the presence of tillers (T1-T3) and total tiller number for eight high-tillering recombinants and eight low-tillering recombinants from the Stg1 fine-mapping population.
(205) Stepping up through the markers in
(206) A subset of lines was used in this experiment to validate the tillering region. More replicates per recombinant (20) were used to further reduce the error variance and increase the power of discrimination among lines. Preliminary results indicate the presence of a tillering gene between the markers txa3676 and txp536 (the same region as previously identified). Hence, five fine-mapping studies, comprising three field studies and two igloo studies, all indicate the presence of a low-tillering gene at the same location.
(207) A breakpoint analysis of those lines which, according to their genotype (BB or TT), step up or step down through the region of interest, was undertaken to further pinpoint the low-tillering gene. A clear break was apparent, separating lines that produced a total tiller number >2.5 (high tillering group; 5 recombinants) from those that produced a total tiller number <2.5 (low tillering group; 3 recombinants) [Table 8,
(208) TABLE-US-00010 TABLE 8 Total Genotype T1 T2 T2.1 T3 T3.1 T4 tiller no 10604-1-502-11-2 0.00 0.79 0.00 1.00 0.00 1.00 2.79 10604-1-110-2 0.11 0.67 0.00 1.00 0.00 1.00 2.72 10604-1-359-3 0.00 0.63 0.00 1.00 0.05 1.00 2.68 10604-1-318-1 0.06 0.59 0.00 1.00 0.00 1.00 2.65 10604-1-502-142-1 0.00 0.58 0.00 1.00 0.00 1.00 2.58 10604-1-8-1 0.00 0.53 0.00 1.00 0.00 1.00 2.42 10604-1-157-5 0.00 0.47 0.00 1.00 0.00 0.95 2.42 10604-1-222-1 0.00 0.45 0.00 1.00 0.00 1.00 2.40
(209) Table 8 shows the presence of tillers (T1-T4), including secondary tillers, and total tiller number for five high-tillering recombinants and three low-tillering recombinants from the Stg1 fine-mapping population.
(210) Stepping up through the markers in
Example 6
Smaller Leaves
(211) Overall, introgressing the Stg1 region into RTx7000 reduced leaf size (length and width) under well-watered and water-limited conditions, indicating a constitutive gene action. However, the reduction in leaf size was generally greater under water-limited conditions indicating, to some extent, an adaptive (inducible) response in addition to the constitutive response. Hence Stg1 confers two mechanisms for reducing canopy size: a) reduced tillering, and b) reduced leaf size. Combined, these two mechanisms provide a fair 25 degree of plasticity for the plant to modify canopy architecture in response to environmental and/or management factors.
(212) A series of lysimeter studies is particularly instructive in assessing leaf size patterns under varying levels of vapor pressure deficit (VPD) (
(213) However for the remaining tillers (T4-T6), the leaf size distributions differed markedly between experiments. While there was no difference in leaf size between RTx7000 and 6078-1 under high VPD, the leaves of 6078-1 were significantly smaller under low VPD. This indicates an adaptive (inducible) response to leaf size reduction under certain environmental conditions for tillers T4-T6.
Example 7
Smaller Leaves (Rain-Out Shelter Studies)
(214) Experiments were conducted under the Rain-Out Shelter (ROS) to assess the impact of the Stg1 region under two crop densities, thereby creating two levels of water deficit (high density=high stress; low density=low stress). In general, tillering was low or absent under ID (20 plants/m2) and normal under LD (10 plants/m2).
(215) Canopy size was smaller in both years under the high density (HD) treatment, reflecting the greater water deficit generated by this treatment. In both years under the milder (LD) and more severe (HD) water deficits, leaf sizes were generally smaller in 6078-1 (Stg1) compared with RTx7000. The exception was where the leaf size distribution pattern was similar for 6078-1 and RTx7000 in the milder Water deficit (LD), yet leaves were significantly smaller in 6078-1 (up to 18% smaller) under greater water deficit (HD), suggesting an adaptive response by Stg1 plants to increasing water deficit. In fact, introgressing the Stg1 region into RTx7000 reduced the size of the four largest leaves (L10-L13) by an average of 16.5% in the more severe water deficit (HD). Since there was little tillering in either genotype in this treatment, reduced leaf size in 6078-1 should have markedly decreased canopy size and hence crop water use (assuming similar transpiration per unit leaf area).
(216) Note that the leaf size reduction mechanism associated with Stg1 appears to operate in both the presence (LD) and absence of tillering (HD), but appears to be best expressed under HD where uniculm and high water deficit conditions generally occur.
Example 8
Smaller Leaves (Stg1 Fine-mapping Studies at Rain-Out Shelter)
(217) A subset of the Stg1 fine-mapping population was grown in the field at the Rain-Out Shelter (ROS) under high and low water conditions, with each water treatment split for high and low density. This created four water regimes with increasing levels of water deficit: HWLD (least stressed)<HWHD<LWLD<LWHD (most stressed). The area of each fully-expanded mainstem leaf was measured for all genotypes in all treatments.
(218) Introgressing the whole Stg1 region (6078-1) and, more specifically, the smaller region designated 10604-5, resulted in a reduction in the size of leaves 9-13 under low-water and high-density conditions (
(219) Under low density conditions, leaf size distributions were affected by tillering, resulting in some crossovers compared with the high density treatment (see
(220) The small leaf size gene mapped to a 152 gene block between txp563 and txp442 (the same region identified for the low tillering gene) containing the candidate gene (auxin efflux carrier component 5), see
Example 9
Smaller Leaves (Fine-mapping Studies in Igloo)
(221) Leaf area varied significantly (P<0.001) among genotypes with a heritability approaching 60 for leaves 4 and 5. Introgressing the Stg1 region into RTx7000 reduced the area of leaves 1-6 (
(222) Differences in leaf area were due more to differences in leaf length (
(223) The allometric relationship in the Stg fine-mapping population between the area of leaf (n) and the area of leaf (n+1) indicates a significant change at about Leaf 8 (concurrent with floral initiation). Thereafter, increases in leaf size occurred at a lesser rate.
(224) Introgressing the Stg1 region into RTx7000 reduced the area of leaves 9-11 (
(225) TABLE-US-00011 TABLE 9 trait P-value Error trait mean (Genotype) variance avSED CV % gen.var Hsq Leaf size L6_GLA 54.122 0.016 88.256 10.871 17.358 23.256 51.315 L7_GLA 103.157 0.317 213.237 14.083 14.156 16.947 24.122 L8_GLA 178.469 0.179 535.126 19.269 12.962 7.623 5.391 L9_GLA 266.844 0.060 673.230 18.676 9.724 45.684 21.348 L10_GLA 342.756 0.506 1029.389 9.361 1.177 0.455 L11_GLA 383.560 0.374 848.058 7.592 3.098 1.440 L11_DW 1.955 0.522 0.058 12.372 0.000 0.000 SLW_L9_L11 50.083 0.030 17.372 3.073 8.322 0.956 18.041
(226) Table 9 is a summary of predicted means, P-value and heritability of leaf size traits measured at the L11 harvest. GLA=green leaf area. DW=dry weight. SLW_L9_L11=specific leaf weight.
(227) Most of the variation in green leaf area at the Leaf 11 harvest was due to differences in tillering. However, leaves 9-11 were smaller in 6078-1 compared with RTx7000. These differences were significant (P<0.05) at txp114 (134.7-135.6 cM) and between markers txa3676 and txp442 (149.1-156.2 cM) [Table 10]. Note that low tillering and small leaves were both associated with the same region between markers txa3676 and txp442, indicating the possibility of a single gene controlling both canopy architecture traits.
(228) TABLE-US-00012 TABLE 10 mark- mark- mark- L1_GLA L2_GLA L7_GLA L8_GLA L9_GLA erno ername ertype cM (L6) (L6) (L11) (L11) (L11) 1 txa2506 original 125.2-127.5 0.08 0.70 0.99 0.40 0.47 2 txp114 both 134.7-135.6 0.31 0.15 0.06 0.41 0.03 3 txa2179 original 135.6-140 0.38 0.61 0.67 0.66 0.50 4 CORN031 original 135.6-140 0.63 0.57 0.66 0.87 0.67 5 TS196 original 140-142.5 0.63 0.57 0.66 0.87 0.67 6 txp196 new 140-142.5 0.85 0.02 0.06 0.21 0.02 7 txa2961 original 142.5 0.63 0.57 0.66 0.87 0.67 8 BH245191 both 145.5-147.3 0.67 0.28 0.02 0.30 0.02 9 BG411222 original 145.5-147.3 0.74 0.92 0.22 0.32 0.15 10 txp439 new 145.5-147.3 0.73 0.60 0.09 0.30 0.03 11 txp440 new 145.5-147.3 0.82 0.73 0.01 0.27 0.06 12 txp542 new 145.5-147.3 0.34 0.74 0.05 0.27 0.31 13 txp563 new 149.1-150.3 0.16 0.57 0.45 0.21 0.79 14 txa3676 original 149.1-150.3 0.50 0.30 0.43 0.20 0.10 15 txa2986 original 150.3 0.50 0.30 0.43 0.20 0.10 16 txp581 new 150.3-151.9 0.03 0.11 0.60 0.87 0.22 17 txp587 new 151.9-156.2 0.13 0.29 0.49 0.91 0.07 18 txp446 new 151.9-156.2 0.27 0.43 0.91 0.89 0.31 19 txp442 original 151.9-156.2 0.50 0.30 0.43 0.20 0.10 20 txp38 original 158.3-161.4 0.09 0.75 0.25 0.07 0.03 21 txa3390 original 158.3-161.4 0.15 0.70 0.42 0.05 0.02 mark- mark- mark- L10_GLA L11_GLA L6_DM L11_DW SLW_L6 SLW_L9_L11 erno ername ertype (L11) (L11) (L6) (L11) (L6) (L11) 1 txa2506 original 0.74 0.91 0.88 0.28 0.97 0.38 2 txp114 both 0.08 0.01 0.57 0.47 0.82 0.05 3 txa2179 original 0.50 0.97 0.92 0.64 0.90 0.56 4 CORN031 original 0.43 1.00 0.52 0.61 0.70 0.69 5 TS196 original 0.43 1.00 0.52 0.61 0.70 0.69 6 txp196 new 0.32 0.38 0.34 0.45 0.07 0.06 7 txa2961 original 0.43 1.00 0.52 0.61 0.70 0.69 8 BH245191 both 0.60 0.66 0.22 0.72 0.03 0.22 9 BG411222 original 0.21 0.88 0.26 0.95 0.35 0.93 10 txp439 new 0.58 0.69 0.28 0.91 0.03 0.81 11 txp440 new 0.06 0.63 0.07 0.78 0.02 0.66 12 txp542 new 0.22 0.72 0.16 0.79 0.08 0.83 13 txp563 new 0.98 0.28 0.63 0.73 0.56 0.55 14 txa3676 original 0.03 0.69 0.29 0.22 0.22 0.16 15 txa2986 original 0.03 0.69 0.29 0.22 0.22 0.16 16 txp581 new 0.19 0.01 0.91 0.49 0.91 0.52 17 txp587 new 0.23 0.05 0.93 0.78 0.81 0.38 18 txp446 new 0.21 0.08 0.58 0.66 0.47 0.37 19 txp442 original 0.03 0.69 0.29 0.22 0.22 0.16 20 txp38 original 0.52 0.55 0.57 0.09 0.51 0.12 21 txa3390 original 0.40 0.19 0.62 0.06 0.49 0.26 P <0.05 P <0.10
(229) Table 10 is a summary of P-values for various leaf size traits measured at the L11 harvest. GLA=green leaf area. DM=dry mass. DW=dry weight. SLW=specific leaf weight.
Example 10
Smaller Leaves (Fine-mapping Studies in Igloo)
(230) Leaf number and length were linearly correlated for the parents of the Stg1 fine-mapping population (
(231) For mapping purposes, the tails of the Stg1 fine-mapping population were selected. Two genotypes exhibited particularly long leaves (10604-1-157-5 and 10604-1-318-1) and three genotypes exhibited particularly short leaves (10604-1-222-1, 10604-1-501-327-3 and 6078-1).
(232) Gain-of-function (short leaf) is achieved in recombinant 10604-1-222-1 between markers txa2986 and txp542. This would mean the small-leaf gene(s) resides in a block extending down to (but not including) txp581 and up to (but not including) txp440. Hence the small leaf gene maps to the same region as the low tillering gene.
(233) For mapping purposes, the tails of the Stg1 fine-mapping population were selected (
(234) Stepping up through the markers in
(235) Multiple studies indicate that a gene (or genes) causing a low-tillering and small-leaf phenotype is located between markers txp563 and txa2986 (
Example 11
Stay-green Enhances Canopy Architecture Plasticity Via Constitutive and Adaptive Responses
(236) Increased water availability at anthesis is achieved via reduced water use due to two mechanisms (reduced tillering and smaller leaves) in plants containing the Stg1 region
(237) Stay-green exhibits both constitutive and adaptive responses (
Example 12
Link between Reduced Canopy Size (Via Reduced Tillering and Smaller Leaves) and Reduced Crop Water Use at Anthesis
(238) Reduced crop water use at anthesis can be caused by a) a smaller canopy size with equivalent transpiration per unit leaf area, b) an equivalent canopy size with lower transpiration per unit leaf area, or c) a smaller canopy size and lower transpiration per unit leaf area. ROS studies indicate that under high water stress conditions, the Stg1 region, and in particular the recombinant containing the Stg1 candidate gene (10604-5), exhibited lower crop water use due to a smaller canopy size rather than lower transpiration per unit leaf area. High correlations (r2=0.9) between canopy size and crop water use were observed in ROS and lysimeter studies.
(239) (a) Water Savings due to Smaller Leaf Size
(240) Tillering was negligible in this experiment due to the high crop density. Hence differences in canopy size were due to differences in leaf size (
(241) In turn, green leaf area at anthesis was highly correlated with crop water use at anthesis (
(242) (b) Water Savings due to Reduced Transpiration per Unit Leaf Area (Lysimetry Studies)
(243) Transpiration (T) is the product of leaf area (LA) and transpiration per leaf area (T/LA). Under high VPD conditions, LA was similar between Stg1 and RTx7000 (11795 vs 11628 cm2), yet T/LA was less in Stg1 than Tx7000 (2.60 vs 2.85), resulting in less water use per plant (T) in Stg1 than RTx7000 (30.7 vs 32.8 l). Hence water savings in Stg1 (in a high VPD environment) were achieved entirely by a reduction in T/LA, suggesting that this is a constitutive water conservation strategy conferred by Stg1. In this case, higher transpiration efficiency (TE) in Stg1 was a consequence of equivalent biomass and lower transpiration.
(244) A broader analysis comparing the four Stg QTL (Stg1, Stg2, Stg3 and Stg4) with RTx7000 helps to put the Stg1 response in perspective. Under high VPD conditions, T/LA was positively correlated with T, However under low VPD conditions, T/LA was negatively correlated with T (r2=0.52). Green leaf area and transpiration were positively correlated under both low and high VPD conditions (
(245) (c) Water Savings due to Reduced Leaf Area
(246) Transpiration (T) is the product of LA and T/LA. Under low VPD conditions, LA was 31% less in Stg1 than RTx7000 (4898 vs 7082 cm2). This was offset slightly by a 9% increase in T/LA in Stg1 compared with RTx7000 (5.15 vs 4.70). The net result was a 22% reduction in water use per plant (T) in Stg1 compared with RTx7000 (25.6 vs 32.7 l), primarily due to reduced canopy size. The increase in T/LA exhibited by Stg1 may itself be a drought adaptation mechanism, cooling the leaf and enabling photosynthesis to continue.
(247) The plasticity in T/LA appears to be particularly important in the regulation of plant water status. Under high VPD conditions, reduced T/LA in Stg1 was the key mechanism for reducing T and increasing TE. Under low VPD conditions, increased T/LA in Stg1 may have contributed to maintenance of leaf function via cooling.
(248) Lysimetry studies on a Stg1 fine-mapping subset provide additional insight into this region. Under high VPD conditions, LA per plant was less in 10604-5 (location of Stg1 candidate gene) than RTx7000 (10283 vs 11628 cm2), yet T/LA was equivalent in 10604-5 and RTx7000 (2.86), resulting in less water use per plant in 10604-5 than RTx7000 (28.0 vs 32.8 l). Hence water savings in 10604-5 were achieved entirely by a reduction in canopy size.
(249) Under low VPD conditions, LA per plant was less in all of the Stg1 lines compared with RTx7000, resulting in water savings in all Stg1 lines. Therefore it was difficult to fine-map this region, since all recombinants responded similarly to 6078-1.
(250) (d) Simulation of Agronomy
(251) Buster planted at 5 plants/m2 with 1 m row spacing. Soil depth=1800 mm; soil PAWC=324 mm; N non-limiting. Results are shown in
Example 13
Increased Water Availability at Anthesis may Also be Achieved Via Increased Water Accessibility due to Better Water Extraction and/or Deeper or Greater Lateral Spread of Roots in Plants Containing the Stg1 Region
(252) Root mass and root:shoot ratio (
(253) Root mass per leaf area ratio can be used as a drought adaptation index at the seedling stage since it integrates the capacity of the plant to access water (root mass) with the capacity of the plant to utilise water (leaf area). A higher index indicates a greater capacity to access water per unit leaf area. Stg1 exhibited a higher root mass per leaf area ratio relative to RTx7000 due to both a higher root mass and a smaller leaf area.
(254) In a Stg1 fine-mapping study, root harvest index (root:totalbio ratio) at the L6 stage mapped to txa3676 and txa2986, the same location as the Stg1 candidate gene (Table 11).
(255) TABLE-US-00013 TABLE 11 L1_GLA L1_GLA L1_GLA L1_GLA L1_GLA L1_GLA L1_GLA markerno markername markertype cM (L6) (L6) (L6) (L6) (L6) (L6) (L6) 1 txa2506 original 125.2-127.5 0.08 0.70 0.99 0.40 0.47 0.74 0.91 2 txp114 both 134.7-135.6 0.31 0.15 0.06 0.41 0.03 0.08 0.01 3 txa2179 original 135.6-140 0.38 0.61 0.67 0.66 0.50 0.50 0.97 4 CORN031 original 135.6-140 0.63 0.57 0.66 0.87 0.67 0.43 1.00 5 TS196 original 140-142.5 0.63 0.57 0.66 0.87 0.67 0.43 1.00 6 txp196 new 140-142.5 0.85 0.02 0.06 0.21 0.02 0.32 0.38 7 txa2961 original 142.5 0.63 0.57 0.66 0.87 0.67 0.43 1.00 8 BH245101 both 145.5-147.3 0.67 0.28 0.02 0.30 0.02 0.60 0.66 9 BG411222 original 145.6-147.3 0.74 0.92 0.22 0.32 0.15 0.21 0.88 10 txp439 new 145.5-147.3 0.73 0.60 0.09 0.30 0.03 0.58 0.89 11 txp440 new 145.5-147.3 0.82 0.73 0.01 0.27 0.06 0.06 0.63 12 txp542 new 145.5-147.3 0.34 0.74 0.05 0.27 0.31 0.22 0.72 13 txp563 new 149.1-150.3 0.16 0.57 0.45 0.21 0.79 0.98 0.28 14 txa3876 original 149.1-150.3 0.50 0.30 0.43 0.20 0.10 0.03 0.69 15 txa2986 original 150.3 0.50 0.30 0.43 0.20 0.10 0.03 0.69 16 txp581 new 150.3-161.9 0.03 0.11 0.60 0.67 0.22 0.19 0.01 17 txp587 new 151.9-155.2 0.13 0.29 0.49 0.91 0.07 0.23 0.05 18 txp446 new 151.9-156.2 0.27 0.43 0.91 0.89 0.31 0.21 0.08 19 txp442 original 151.9-158.2 0.50 0.30 0.43 0.20 0.10 0.03 0.69 20 txp38 original 158.3-161.4 0.09 0.75 0.25 0.07 0.03 0.52 0.55 21 txp3390 original 158.3-161.4 0.15 0.70 0.42 0.05 0.02 0.40 0.19 L1_GLA L1_GLA SLW_L6 SLW_L9_L11 Tillerno_max Bio_T Gleaf_T Stem_T GLA_T presence_T2 markerno (L6) (L6) (L6) (L11) (L11) (L11) (L11) (L11) (L11) (L11) 1 0.88 0.28 0.97 0.38 0.82 0.86 0.78 0.98 0.65 0.02 2 0.57 0.47 0.82 0.05 0.02 0.11 0.05 0.23 0.13 0.02 3 0.92 0.64 0.90 0.58 0.67 0.50 0.46 0.59 0.36 0.37 4 0.52 0.61 0.70 0.69 0.74 0.18 0.17 0.22 0.13 0.35 5 0.52 0.61 0.70 0.69 0.74 0.18 0.17 0.22 0.13 0.35 6 0.34 0.45 0.07 0.06 0.12 0.67 0.74 0.83 0.95 0.06 7 0.52 0.61 0.70 0.69 0.74 0.18 0.17 0.22 0.13 0.35 8 0.22 0.72 0.03 0.22 0.31 0.84 0.86 0.97 0.94 0.14 9 0.26 0.95 0.35 0.93 0.03 0.04 0.04 0.03 0.02 0.29 10 0.28 0.91 0.03 0.81 0.52 0.67 0.75 0.66 0.79 0.13 11 0.07 0.78 0.02 0.66 0.36 0.67 0.72 0.56 0.77 0.03 12 0.16 0.79 0.08 0.83 0.58 0.27 0.25 0.14 0.27 0.04 13 0.63 0.73 0.56 0.55 0.30 0.36 0.36 0.32 0.24 0.04 14 0.29 0.22 0.22 0.16 0.02 0.04 0.05 0.03 0.02 0.03 15 0.29 0.22 0.22 0.16 0.02 0.04 0.05 0.03 0.02 0.03 16 0.91 0.49 0.91 0.52 0.03 0.03 0.01 0.06 0.03 0.02 17 0.93 0.78 0.81 0.38 0.05 0.02 0.01 0.04 0.03 0.04 18 0.68 0.66 0.47 0.37 0.04 0.01 0.00 0.01 0.00 0.03 19 0.29 0.22 0.22 0.10 0.02 0.04 0.05 0.03 0.02 0.03 20 0.57 0.09 0.51 0.12 0.18 0.09 0.11 0.08 0.18 0.03 21 0.62 0.06 0.49 0.26 0.31 0.14 0.15 0.14 0.22 0.04 presence_T3 presence_T4 totbio rootbio root.totbio_ratio bio.totbio_ratio remain_DM bio.GLA_ratio markerno (L11) (L11) (L6) (L6) (L6) (L6) (L6) (L11) 1 0.52 0.03 0.83 0.86 0.32 0.31 0.50 0.80 2 0.17 0.66 0.82 0.72 0.55 0.56 0.69 0.34 3 0.21 0.28 0.98 0.89 0.25 0.24 0.94 0.90 4 0.37 0.31 0.79 0.85 0.43 0.42 0.80 1.00 5 0.37 0.31 0.79 0.85 0.43 0.42 0.80 1.00 6 0.79 0.80 0.99 0.76 0.40 0.41 0.93 0.09 7 0.37 0.31 0.79 0.85 0.43 0.42 0.80 1.00 8 0.64 0.88 0.81 0.73 0.63 0.84 0.73 0.32 9 0.06 0.05 0.74 0.71 0.68 0.68 0.83 0.91 10 0.90 0.84 0.61 0.50 0.43 0.44 0.61 0.85 11 0.86 0.81 0.15 0.17 0.39 0.40 0.15 0.74 12 0.80 0.71 0.03 0.03 0.25 0.26 0.04 0.92 13 0.88 0.85 0.49 0.48 0.37 0.37 0.66 0.03 14 0.08 0.39 0.28 0.24 0.04 0.04 0.37 0.81 15 0.08 0.39 0.28 0.24 0.04 0.04 0.37 0.81 16 0.62 0.63 0.74 0.68 0.58 0.60 0.77 0.57 17 0.38 0.74 0.71 0.76 0.66 0.67 0.63 0.80 18 0.45 0.42 0.76 0.94 0.89 0.90 0.60 0.77 19 0.08 0.39 0.28 0.24 0.04 0.04 0.37 0.81 20 0.09 0.33 0.10 0.14 0.70 0.71 0.10 0.48 21 0.16 0.21 0.15 0.23 0.92 0.91 0.13 0.84 P < 0.05 P < 0.10 Leaf area Tillering Biomass Bio/GLA SPAD
(256) Table 11 is a summary of P-values for various leaf size, tillering and biomass traits measured at the L6 and L11 harvests.
(257) The higher root mass per leaf area ratio exhibited by Stg1 at the L6 stage may explain why it used more water early in crop growth (20-50 DAE) compared with RTx7000 under the LWLD treatment (
(258) In a root chamber experiment at Gatton, Queensland, Australia (Van Oosterom et al. (2010) supra), the gravimetric lower limit of water extraction was 0.26% lower for A35 (stay-green) than AQL39 (senescent) hybrids. A35 contains the Stg1 region whereas AQL39 does not. Assuming a bulk density of 1.3 g cm-3 and a soil depth of 150 cm, this could potentially increase available water in the field by >5 mm throughout the life cycle of the crop.
Example 14
Stay-green Enhances Biomass per Unit Leaf Area at Anthesis. Assuming Root Mass is Equivalent (or at Least not Significantly Less), these Differences could be Explained by Differences in Transpiration per Unit Leaf Area and/or Transpiration Efficiency
(259) Mainstem biomass per unit leaf area (B/LA) at anthesis was 24% higher in Stg1 than RTx7000 under low water stress (35.2 vs 26.2 g/m2/cm2) and high water stress (40.6 vs 31.4 g/m2/cm2) conditions (Table 12). Mainstem B/LA at anthesis was 14% higher under high water stress than low water stress conditions for both Stg1 and RTx7000, i.e. B/LA increased with water deficit. Note that tiller B/LA was equivalent in Stg1 and RTx7000 under low and high water stress conditions.
(260) TABLE-US-00014 TABLE 12 Mainstem Tiller Total biomass biomass biomass per per per unit leaf area unit leaf area unit leaf area at anthesis at anthesis at anthesis (g/m.sup.2/cm.sup.2) (g/m.sup.2/cm.sup.2) (g/m.sup.2/cm.sup.2) 1000 1000 1000 No High High High Stg of Low water water Low water water Low water water status lines stress stress stress stress stress stress Stg1 region 1 1 35.17 40.61 19.42 22.38 31.83 39.73 1, 2 2 31.70 34.70 18.40 19.77 28.02 33.16 1, 4 1 28.12 30.88 22.68 16.53 28.66 26.69 No regions RT 7 26.21 31.36 18.04 20.61 21.20 25.81 7000 LSD 6.70 6.70 5.90 5.90 5.96 5.96 (0.05)
(261) Table 12 shows mainstem, tiller and total biomass per leaf area for RTx7000 (recurrent parent) and a number of near-isogenic lines containing various Stg1 introgressions grown under high and low water stress at Biloela, Queensland, Australia.
(262) The detailed water use measurements suggest that the higher biomass per unit leaf area observed in Stg1 lines at Biloela was probably be due to higher transpiration per unit leaf area rather than TE.
(263) Low Water Stress
(264) Stg1 and RTx7000 displayed equivalent B/LA under low water stress. However, T was 7% lower in Stg1, due to 10% lower T/LA which, in turn, increased TE by 9% (
(265) High Water Stress
(266) Under high water stress, B/LA was 6% higher in Stg1 compared with RTx7000. B/LA was positively correlated with T/LA but not with TE. Hence, the higher B/LA displayed by Stg1 was due to higher T/LA. In general, B/LA was positively correlated with T/LA and negatively correlated with TE under high water stress.
(267) In this case, Stg1 used 22% less water than RTx7000 during the pre-anthesis period. Therefore, Stg1 would have significantly more water available to fill grain, despite lower biomass at anthesis.
Example 15
Increased TE Via Introgressing Stg1 may be due to a) Proportionally Higher Photosynthetic Capacity Compared with Stomatal Conductance, due to Smaller, Thinner and Greener Leaves, or b) a Decrease in Transpiration per Leaf Area while Maintaining Biomass per Leaf Area
(268) In the Stg1 fine-mapping population, the length and greenness (SPAD) of Leaf 10 were highly negatively correlated (r2=0.72,
(269) Greener leaves may increase photosynthetic capacity and therefore water use efficiency. In a subset of the Stg1 fine-mapping population, photosynthesis increased with SPAD value until reaching a plateau at a SPAD of 48.5 (
(270) Leaf greenness (SPAD) and WUE (based on an index calculated by Licor software) were positively correlated in a subset of the Stg1 fine-mapping population (
(271) Compared with RTx7000 and other Stg QTLs, Stg1 exhibited a greener leaf (higher SPAD value) and higher WUE (based on an index calculated by Licor software) [
Example 16
Increased TE Via Introgressing Stg1 may be due to a) Proportionally Higher Photosynthetic Capacity Compared with Stomatal Conductance, due to Smaller, Thinner and Greener Leaves, or b) a Decrease in Transpiration per Leaf Area while Maintaining Biomass per Leaf Area
(272) Transpiration efficiency (TE) was negatively correlated with transpiration per leaf area (T/LA) under low and high VPD conditions (
(273) Under high VPD conditions, the slope of the negative correlation between T/LA and TE was steep, such that a slight decrease in T/LA from 2.9 mm/cm2 (Stg4) to 2.6 mm/cm2 (Stg1) resulted in a significant increase in TE from 4.2 g/m2/mm (Stg4) to 5.1 g/m2/mm (Stg1) [
Example 17
Changes in Transpiration per Unit Leaf Area could be due to a) Number of Stomata, b) Stomatal Aperture, c) Changes in the Timing of Stomatal Opening and Closing Relative to VPD, and/or d) Number of Hair Base Cells (which Affects the Boundary Layer and Hence T/LA)
(274) Introgressing Stg1 into RTx7000 variously affected T/LA, depending on VPD conditions. Relative to RTx7000, Stg1 increased T/LA by 9% under low VPD and decreased T/LA by 10% under high VPD. T/LA, inter alia, can be regulated by a) the number of stomata per unit leaf area, b) the size to the stomatal aperture, c) the timing of stomatal opening and closing, and/or d) the number of hair base cells (which affects the boundary layer and hence T/LA). Measurements of two of these four components (a and d) have been made. In one rainout shelter experiment, individual leaves were harvested from the high density treatment within the irrigated control, cuticles removed, and images taken of the cuticle surface. These images were used to determine a) the number of stomata per unit leaf area, b) the number of epidermal cells per unit leaf area, and c) the number of hair base cells per unit leaf area.
(275) At the same time, transverse leaf sections were taken. Preliminary analysis of these data indicate that introgressing Stg1 into RTx7000 modified leaf anatomy. Differences in the morphology of leaves (e.g. Leaves 7 and 10) are apparent between RTx7000 and Stg1. In this case, there were more and smaller bundle sheaths surrounding the vascular bundle in Stg1. The increased number of cells in the bundle sheath might also contribute to increased photosynthetic assimilation (PNAS 2007) and hence TE.
Example 18
Increased Water Use During Grain Filling is Achieved Via (i) Increased Water Availability at Anthesis and (ii) Increased Water Accessibility (Better Water Extraction and Deeper or Greater Lateral Spread) during Grain Filling
(276) a) Increased Water Availability at Anthesis
(277) Crop water use (CWU) before anthesis was negatively correlated with CWU after anthesis in the ROS experiment (
(278) b) Increased Water Accessibility during Grain Filling
(279) Increased water use during the grain filling period was exhibited by Stg1-under both low and high density treatments in the ROS experiment. This was due primarily to (i) increased water availability at anthesis under high density, and (ii) increased water accessibility during grain filling under low density (
(280) In a study of RTx7000 and four Stg NILs (Stg1, Stg2, Stg3 and Stg4), CWU before and after anthesis were negatively correlated in an ROS experiment under low density conditions (
Example 19
Link between Pre- and Post-anthesis Biomass Production
(281) Under low density (LD), reducing pre-anthesis biomass by 23% (from 700 to 640 g/m2) increased post-anthesis biomass more than twofold (from 200 to 425 g/m2). Under LD, Stg1 produced similar pre-anthesis biomass to RTx7000 (610 g/m2), yet produced less post-anthesis biomass (265 vs 327 g/m2). However under HD, Stg1 and RTx7000 produced similar pre-anthesis biomass (840 g/m2), yet Stg1 produced more post-anthesis biomass (195 vs 17 g/m2).
(282) The relation between GLAA and the pre:post anthesis biomass ratio is critical in the Stg1 story. GLAA must be cut back to <3 to ensure the availability of adequate water for grain filling, and this is the critical role of the Stg1 gene. In this experiment, Stg1 reduced GLAA adequately to achieve a pre:post anthesis biomass ratio of <3 under ILD, but not HD. Under HD, note that introgressing Stg1 into RTx7000 reduced the GLAA from 31200 to 29300 cm2/m2, reducing the pre:post anthesis biomass ratio from 8.2 to 6.5 (but still not to <3). This highlights the importance of appropriate management strategies such as crop density in maximising limited water resources.
(283) The negative relation between GLAA and post-anthesis stem mass is also critical to the Stg1 story. Lower GLAA, and hence reduced water use at anthesis, was associated with higher post-anthesis stem mass (a component of lodging resistance). Introgressing Stg1 into RTx7000 increased post-anthesis stem mass under both LD (marginal increase) and HD (significant increase) conditions.
(284) The relation between the pre:post anthesis biomass ratio (PPBR) and post-anthesis biomass is instructive. The two density treatments provide a continuum in the range of PPBR from <2 to >8. Reducing PPBR from >8 to 3 resulted in a gradual increase in post-anthesis biomass. However, further reducing PPBR below 3 resulted in a relatively sharp increase in post-anthesis biomass, presumably because more water was available during grain filling when the PPBR ratio fell below 3. Introgressing Stg1 into RTx7000 increased post-anthesis biomass under HD but not LD.
(285) The relation between the pre:post anthesis biomass ratio (PPBR) and post-anthesis stem mass is equally instructive. Post-anthesis stem mass is a component of lodging resistance. Analysis of this component provides some understanding of how Stg introgressions affect lodging resistance. Reducing PPBR from >8 to 4 resulted in a gradual increase in post-anthesis stem mass. However, further reducing PPBR below 4 resulted in a relatively sharp increase in post-anthesis stem mass. Introgressing Stg into RTx7000 increased post-anthesis stem mass under both LD (marginal increase) and HD (significant increase) conditions.
(286) The relation between PPBR and grain yield was less clear in this experiment. While grain yield was higher in Stg1 than RTx7000 under both densities, the higher yield could only be explained by lower PPBR in Stg1 under HD.
(287) Two Stg1 introgressions were examined in this experiment: a) 6078-1 (the whole Stg1 region), and b) 10946-5 (a recombinant covering about 1/3 of the Stg1 region between markers Sb03QGM116 and Sb03QGM106).
(288) Reducing pre-anthesis biomass by 20% (from 920 to 735 g/m2) increased post-anthesis biomass by about 100% (from 200 to 400 g/m2) [
(289) Canopy size, as evidenced by GLAA, largely determined the ratio of pre:post anthesis biomass (
(290) Canopy size, as evidenced by GLAA, was a determinant of post-anthesis stem mass (PASM) [
(291) The relation between the pre:post anthesis biomass ratio (PPBR) and post-anthesis biomass (PAB) was strong (
(292) The pre:post anthesis biomass ratio (PPBR) also affected lodging resistance (
(293) Grain yield remained low (at a benchmark of 4.2 t/ha) until the pre:post anthesis biomass ratio fell below 3 (HD) or 2.5 (LD) [
(294) Four Stg1 introgressions were examined in this experiment: a) 6078-1 (the whole Stg1 region between markers txa2179 and txp38), b) 10709-5 (a recombinant covering about 1/3 of the Stg1 region between markers Sb03QGM106 and txp38), c) 10604-5 (a recombinant covering about 3/4 of the Stg1 region between markers txa2506 and txp565), and d) 10568-2 (a recombinant covering almost 1/2 of the Stg1 region between markers txa2506 and txp563) [
(295) Under low density (LD), pre-anthesis biomass varied by only 5% (from 522 to 552 g/m2) among genotypes, yet post-anthesis biomass varied almost twofold (from 173 to 313 g/m2). This suggests that the considerable differences in post-anthesis biomass were affected by something other than pre-anthesis biomass, e.g. differences in water accessibility. For example, 10709-5 and RTx7000 both produced 550 g/m2 of pre-anthesis biomass, yet the Stg1 recombinant (10709-5) produced 60% more post-anthesis biomass (310 vs 130 g/m2).
(296) Under high density (HD), pre- and post-anthesis biomass were highly negatively correlated. Introgressing Stg1 into RTx7000 reduced pre-anthesis biomass by 9% and increased post-anthesis biomass by 23%.
(297) Crop water use (CWU) at anthesis better discriminated between genotypes than did pre-anthesis biomass. Combining the HD and LD data, post-anthesis biomass (PAB) remained low (at a benchmark of 150 g/m2) until the CWU at anthesis fell below 180 mm. Below this critical value, PAB increased for each incremental reduction in CWU down to a level of 175 mm, with PAB plateauing at about 310 g/m2. Further reductions in CWU at anthesis below 175 mm did not result in additional PAB.
(298) Canopy size, as evidenced by GLAA, largely determined the ratio of pre:post anthesis biomass (PPBR). Under both high and low density treatments, introgressing Stg1 (or particular recombinants such as 10709-5) into a RTx7000 background reduced GLAA which, in turn, reduced the ratio of pre:post anthesis biomass, thereby increasing water availability for grain filling under these water-limited conditions. The PPBR value for 6078-1 appears anomalous (too high) since this genotype is placed well above the GLAA/PPBR regression line.
(299) Canopy size, as evidenced by GLAA, was a determinant of post-anthesis stem mass (PASM). Under the high density treatment, introgressing Stg1 (or Stg1 recombinants such as 10604-5 and 10709-5) into a RTx7000 background reduced GLAA which, in turn, increased PASM. Approximately, 60 g/m2 more stem reserves were utilized under HD compared with LD, reflecting the higher stress imposed by this treatment. Once again, the data for 6078-1 under LD appears anomalous.
(300) The relation between the pre:post anthesis biomass ratio (PPBR) and post-anthesis biomass (PAB) was strong. The two density treatments provide a continuum in the range of PPBR from <2 to >5, although the slope of the regression was greater for LD than HD. Under HD, reducing PPBR from 6 to 3.5 resulted in a gradual increase in PAB from 130 g/m2 (RTx7000) to 180 g/m2 (10604-5). Further reducing PPBR below 3 under LD resulted in a steeper increase in PAB, presumably because more water was available during grain filling when the PPBR ratio fell below three.
(301) The pre:post anthesis biomass ratio (PPBR) also affected lodging resistance. In this case, post anthesis stem mass (PASM) is used as a surrogate for lodging resistance. Under high and low densities, PPBR was negatively correlated with post-anthesis stem biomass. That is, a high pre:post anthesis biomass ratio increased the amount of stem reserves remobilized during grain filling, thus reducing stem biomass and increasing the likelihood of lodging. Compared with RTx7000, Stg1 significantly reduced the amount of stem reserves mobilized under HD (100 vs 160 g/m2). The extent of stem reserves mobilized was greater under HD than LD, reflecting the greater water deficit under HD. For example, the difference in stem reserve mobilization between HD and LD was more than twofold in RTx7000 (about 160 vs 60 g/m2). Interestingly, PASM increased with decreasing PPBR over the whole range of PPBR (1.5-6), whereas grain yield, and to a lesser extent PAB, only increased when PPBR fell below 3. This suggests that relatively small water savings before anthesis were still able to improve lodging resistance, although greater water savings were required before grain yield responded.
(302) Grain yield remained low (at a benchmark of 3.1 t/ha) until the pre:post anthesis biomass ratio fell below 3. Below this critical value, grain yield increased significantly for each incremental reduction in this ratio. Since none of the Stg1 introgressions reduced the PPBR to <3 under HD, no yield benefits were realized from Stg1 in this treatment. Under LD, some of the Stg1 introgressions reduced PPBR below the critical level, resulting in yield increases of 12% (10568-2) and 5% (10709-5), relative to RTx7000. These data provide a critical link between Stg1 gene action (reduced canopy size at anthesis) and grain yield under terminal drought.
(303) CWU during grain filling remained low (at a benchmark of 60 mm) until the pre:post anthesis biomass ratio fell below 3.5 (
(304) The relation between CWU during grain filling and grain yield was positive (
Example 20
Delayed Leaf Senescence (Stay-green) is a Consequence of Higher Plant Water Status during Grain Filling (due to Increased Water Use)
(305) Plant water status was determined on FL-2 (two leaves below the flag) at mid-grain filling using two methodologies: leaf water potential (LWP) and relative water content (RWC). LWP was measured in the field with a pressure bomb. Following determination of LWP in the field, a sample of the same leaf was placed on ice and, within a few minutes, taken to a laboratory some 300 m away for determination of RWC by standard methods.
(306) The RWC of FL-2 was negatively correlated with the relative rate of leaf senescence at mid-grain filling under both high and low densities in a set of Stg NILs including the recurrent parent. Correlations for HD and LD were parallel, but offset by about 0.35 units of leaf senescence, i.e. for a given level of RWC, say 70, the relative rates of leaf senescence were 2.1 and 2.45 for LD and HD, respectively. Introgressing the Stg1 region into RTx7000 increased RWC at mid-grain filling (FL-2) and decreased the relative rate of leaf senescence under both HD and LD, although the impact was greater under HD.
(307) In turn, the relative rate of leaf senescence was highly negatively correlated with green leaf area at maturity (GLAM) under HD and LD (
Example 21
Increased Lodging Resistance is a Consequence of Higher Plant Water Status during Grain Filling (due to Increased Water Use)
(308) Higher stem mass at maturity is a component of lodging resistance. RWC at mid-grain filling (FL-2) was highly negatively correlated with stem mass at maturity in a set of Stg NILs grown under water-limited conditions at two crop densities (
(309) Post-anthesis biomass is mainly comprised of a) post-anthesis stem mass (PASM), a measure of stem reserve mobilization and a component of lodging resistance, and b) grain yield. Grain-growers require that both grain yield and lodging resistance be maximized, i.e. they do not want one at the expense of the other. Post-anthesis stem mass was highly linearly correlated with PAB under HD and LD conditions (
(310) While the correlations between PASM and PAB were high under HD and LD (
(311) The potential trade-off between PASM and grain yield is highlighted in
(312) The relation between PASM and stem mass at maturity was relatively flat for the various Stg introgressions under HD and LD, although RTx7000 fell below the regression line in both cases. For a given level of stem reserve utilization (e.g. 140 g/m2 under HD or 50 g/m2 under LD), introgressing a Stg region into RTx7000 significantly increased stem mass at maturity, suggesting that some other factor (e.g. stem strength) in addition to the amount of stem reserves utilized was important.
(313) Post-anthesis stem mass (PASM) was highly linearly correlated with PAB under HD and LD conditions (
(314) Grain yield was positively correlated with PAB under HD and LD. Under HD, Stg1 outyielded RTx7000 by 24% although Stg1a was equivalent to RTx7000 in grain yield. Under LD, Stg1 and Stg1a outyielded RTx7000 by 42% and 20%, respectively.
(315) In this experiment, there was no trade-off between PASM and grain yield, since the correlation between these parameters was positive and linear for both crop densities (
(316) The relation between PASM and stem mass at maturity was positively correlated under HD and negatively correlated under LD. Under HD, PASM and stem mass at maturity were both significantly higher in Stg1 than RTx7000. Under LD, stem mass at maturity was higher in Stg1 than RTx7000 (314 vs. 271 g/m2), although Stg1 utilized more stem reserves compared with RTx7000 (87 vs 66 g/m2). Overall, Stg increased stem mass at maturity by 22% (HD) and 16% (LD) relative to RTx7000. Also, Stg1a utilized significantly less stem reserves than RTx7000 under both crop densities.
(317) Post-anthesis stem mass (PASM) was highly linearly correlated with PAB under HD and LD conditions (
(318) Grain yield was positively correlated with PAB under LD and negatively correlated under HD, although overall (combining HD and LD), the relationship was positive, with RTx7000 (HD) as an outlier.
(319) In this experiment, there was no trade-off between PASM and grain yield, since the correlation between these parameters was positive and linear for both crop densities. Under HD, the Stg1 parent (6078-1) exhibited high stem mass and grain yield compared with the other Stg1 introgressions. RTx7000 was an anomaly under HD, exhibiting low stem mass and high grain yield. Under LD, 10709-5 and 10568-2 exhibited high stem mass and grain yield relative to RTx7000.
(320) The relation between PASM and stem mass at maturity was positively correlated under both densities. Under HD, PASM and stem mass at maturity were both significantly higher in 6078-1 and 10709-5 than RTx7000. Under LD, only one Stg1 recombinant (10568-2) exceeded RTx7000 in PASM and stem mass at maturity.
Example 22
Higher Grain Yield is a Consequence of Higher Plant Water Status during Grain Filling
(321) Introgressing Stg1 into a RTx7000 background increased plant water status at mid-grain filling, as indicated by a) higher relative water content (RWC) in FL-2 under LD and HD lower leaf water potential (LWP) in FL-2 under LD and HD. Overall, plants were more stressed under LD than HD in this experiment, evidenced by lower RWC under LD. However, the beneficial impact of Stg1 on plant water status was more dramatic under HD, where RWC was 26% higher in Stg1 than RTx7000.
(322) RWC at mid-grain filling in FL-2 was positively correlated with grain yield under HD and LD. At higher levels of plant water stress (RWC<73), grain yield was higher under LD than HD for a given level of RWC. RWC and grain yield were higher in Stg1 than RTx7000 under both crop densities. For example in Stg1 under HD, a 26% increase in RWC was associated with a 58% increase in grain yield, relative to RTx7000.
(323) The leaf water potential (LWP) of FL-2 at mid-grain filling was negatively correlated with grain yield under HD and LD conditions (
Example 23
Higher Grain Yield and Larger Grain Size are Consequences of Increased Water Availability during Grain Filling
(324) Critical to the hypothesis on Stg function is the link between pre- and post-anthesis water use and, subsequently, the link between post-anthesis water use and grain yield. The Stg1 gene is of little value at the field level is there is no link between increased water availability during grain filling and either grain yield or grain size.
(325) First, it is important to establish the link between the pre:post anthesis biomass ratio (PPBR) and crop water use (CWU) during grain filling. CWU during grain filling remained low (at a benchmark of 85 and 95 mm for LD and HD, respectively) until the pre:post anthesis biomass ratio fell below 3 and 2.5 for LD and HD, respectively (
(326) Second, it is important to show the link between CWU during grain filling and grain yield. In general, these parameters were positively associated in a ROS experiment, apart from two distinct outliers under LD (Stg2 and Stg3) [
(327) Finally, the link between PPBR and grain yield under water-limited conditions completes the picture (
(328) CWU during grain filling was positively correlated with grain size under both HD and LD treatments (
(329) The relation between PPBR and grain size under water-limited conditions highlights the importance of water conservation before anthesis as a determinant of grain size (
(330) CWU during grain filling remained low (at a benchmark of 58 mm for HD) until the pre:post anthesis biomass ratio fell below 3.5 (
(331) In general, CWU during grain filling and grain yield were positively correlated using a combined data set from the HD and LD treatments, with genotypes using more water and producing more grain under LD (
Example 24
QTL and PIN Gene Analysis
(332) QTL Analysis
(333) Stay-green QTL data were collected from 7 studies (Crasta el al. (1999) Molecular and General Genetics 262:579-588; Hausmann et al. (2002) theroretical and Applied Genetics 106:133-142; Kebede et al. (2001) Theoretical and Applied Genetics 103:266-276; Srininvas et al. (2009) Theor Appl Genet 118:703-717; Subudhi et al. (2000) Theor App Genet 101:733-741; Tao et al. (2000) Theor Appl Genet 100:1225-1232; Xu el al. (2000) Genome 43:461-469). From the 7 studies, 47 individual QTL were identified and projected onto the sorghum consensus map (Mace et al. (2009) BMC Plant Biol. 9:13).
(334) Where estimated Confidence Intervals (CI) of QTL for the same trait overlapped, those QTL were grouped into a meta QTL. Nine meta-QTL for stay-green were identified in this way. QTL for the same trait were classified as separate QTL if their CI had no region in common and mean QTL location were less than or equal to 15 cM away from each other.
(335) Statistical Machine Learning (SML) QTL analysis (Bedo et al. (2008) BMC Genetics 9:35) was conducted on a set of over 500 entries on the DEEDI sorghum pyt males trial. 23 QTL identified with a probability <0.05 were also plotted onto the consensus map.
(336) PIN Gene Analysis
(337) All available PIN genes in rice and Arabidopsis were searched for via NCBI (ncbi.org). In total, sequence for 9 rice PIN genes (OsPIN1, OsPIN1b, OsPIN1c, OsPIN2, OsPIN3a, OsPIN3b, OsPIN4, OsPIN5, OsPIN6) and 3 Arabidopsis PIN genes (AtPIN1, AtPIN2, AtPIN4) were identified. All genes (protein sequence) were BLASTed against the sorghum WGS (gramene.org) and the top 100 hits were identified. The score (S value: a measure of the similarity of the query to the sequence shown), E-value (the probability due to chance, that there is another alignment with a similarity greater than the given S score), % ID and length of sequence homology for each of the 1200 hits were collated. The relationship between the 4 measures was analyzed and the S score was selected as the main measure to assess likelihood of sequence similarity. Following an analysis of the distribution of S score values, 3 S score categories were identified (>1000; >499 and <1000; <499) and a list of 11 sorghum genes with scores >499 (i.e. in the first 2 categories) was produced. See Table 13.
(338) TABLE-US-00015 TABLE 13 Sorghum Gene Target ID gene JGI Annotation Sb02g029210 OsPIN6 similar to Os09g0505400 protein Sb03g029320 OsPIN3a similar to Probable auxin efflux carrier component 3a Sb03g032850 OsPIN1 similar to Putative uncharacterized protein Sb03g037350 OsPIN5 similar to Probable auxin efflux carrier component 5 Sb03g043960 OsPIN6 similar to Probable auxin efflux carrier component 6 Sb04g028170 OsPIN1 similar to Auxin efflux carrier component 1 Sb05g002150 OsPIN1b similar to Probable auxin efflux carrier component 1b Sb07g026370 OsPIN4 similar to Probable auxin efflux carrier component 4 Sb10g004430 OsPIN1 similar to Putative auxin efflux carrier component 3b Sb10g008290 OsPIN1c similar to Probable auxin efflux carrier component 1c Sb10g026300 OsPIN2 similar to Probable auxin efflux carrier component 2
Comparisons
(339) Of the 11 PIN orthologues identified, 10 (90.9%) aligned, with known QTL for stay-green. Only one of the 11 sorghum PIN genes (Sb03g043960 on SBI-03, marked with a grey star on
Example 25
Analysis of PIN2, PIN3, PIN4 and PINS
(340) The stay-green source BTx642 (B35), and near-isogenic lines (NILs) containing the Stg1, Stg2, Stg4 QTLs, as well as the contrasting senescent line Tx7000 were grown in root pipes in a glasshouse.
(341) The aim of the experiment was to measure expression levels of genes that are identified herein as stay-green gene candidates under well-watered conditions and after a drought stress has been imposed on the plants to see whether there were any differences in expression in the stay-green compared with the senescent plants.
(342) The experiment was divided into two parts: an early drought stress (Exp1) and a late drought stress (Exp2).
(343) Results from the early drought stress experiment are shown in Table 14.
(344) TABLE-US-00016 TABLE 14 Rice Gene GeneID Homologue Stg QTL Comment SbPIN2 Sb03g029320 OsPIN3a Stg2 Stg2 Candidate SbPIN3 Sb03g032850 OsPIN1 Stg1 Upper Stg1 QTL SbPIN4 Sb03g037350 OsPIN5 Stg1 Stg1 Candidate SbPIN5 Sb03g043960 OsPIN6 Stg1 Lower Stg1 QTL
(345) The main differences in expression of these PIN genes are summarized below (Table 15 and in
(346) TABLE-US-00017 TABLE 15 Gene Main Tissues Response to WD Differential Expression SbPIN4 (Stg 1 WW: low in leaves, Lower expression WW: Higher in Tx7000 vs candidate) high in roots in most tissues BTx642 and Stg1 in roots WD: low in leaves, (FIG. 1) high in roots WD: Higher in Stg1 and BTx642 vs Tx7000 in leaves. stems and upper roots (FIG. 2) SbPIN2 WW: high in leaves, Increase in roots, WW: Higher in Stg2/BTx642 (Stg2 low in roots decrease in stems vs Tx7000 in stem and roots candidate) WD: high in leaves, (FIG. 3) low in roots WD: higher in BTx642 and to lesser extent Stg2 vs Tx7000 in most tissues except old roots (FIG. 4) SbPIN3 Limited variation Limited response to WD: slightly higher in among tissues WD BTx642/Stg1 vs Tx7000 SbPIN5 WW: high in leaves, Increase in roots, WW: Higher in Stg1 (and to low in roots not much change in much lesser extent Tx642) vs WD: high in leaves, leaves Tx7000 in upper young roots low in roots especially WD: Higher in Stg1 (and to lesser extent) BTx642 vs Tx7000 in stem
(347) Emerging patterns were identified for SbPIN4 and SbPIN2, Stg1 and Stg2, respectively.
(348) In both cases the expression of these genes was higher in stay-green lines compared to the senescent line in response to water deficit.
(349) These two PIN genes showed differences in tissue specificity. SbPIN4 was generally (across all conditions) more highly expressed in roots and stems and less expressed in leaves, while SbPIN2 generally showed higher expression in leaves and stems and lower expression in roots).
Example 26
Determination of StgX Loci
(350) Tables 1B and 1C provide examples of loci located at: Stg1: Fine-mapped region between txp563 and txp581 containing 60 annotated genes, Larger middle region between txp440 and txp580 containing 307 annotated genes, Candidates in tail between txp58,0 and txp38 containing 178 annotated genes; Stg2: Fine-mapped region between txp512 and txp2 containing 15 annotated genes, Larger region between txp31 and txp530 containing 241 annotated genes; Stg3a: Entire region between txp298 and sPb-2568 containing 520 annotated genes; Stg3b: Entire region between sPb-2568 and txp179 containing 291 annotated genes; Stg4: Entire region defined by txp283 and txp15 containing 306 annotated genes, How these various loci fit in various biochemical and physiology pathways is depicted in
(351) In an embodiment, the locus is in Stg1 selected from PIN5, GIDIL2, P45098A1, indole-3-acetate and brassinosteroid insensitive.
(352) In an embodiment, the locus is in Stg2 and is auxin efflux carrier component 3a (PIN3a).
(353) In an embodiment, the locus is in Stg3a selected from leaf senescence protein-like (Sb02g023510), leaf senescence protein-like (Sb02g023520), RAMOSA1 C2H2 zinc-finger transcription factor (Sb02g024410), putative auxin-independent growth promoter (Sb02g024540), similar to dehydration-responsive protein-like (Sb02g024670), similar to glucose transporter (Sb02g024690), WRKY transcription factor 76 (Sb02g024760), glutamine synthetase-like protein (Sb02g025100), senescence-associated protein DH (Sb02g025180), putative alanine aminotransferase (Sb02g025480), auxin-induced protein-like (Sb02g025610), auxin-induced protein-like (Sb02g025620), putative far-red impaired response protein (Sb02g025670), similar to cytochrome P450 monooxygenase CYP92A1 (Sb02g025820), auxin-independent growth promoter (Sb02g025960), asparate aminotransferase (Sb02g026430), similar to abscisic acid 8-hydroxylase 3 (Sb02g026600) similar to ethylene-binding protein-like (Sb02g026630) and putative auxin-induced protein family (Sb02g027150).
(354) In an embodiment, the locus is in Stg3b selected from putative auxin-independent growth promoter (Sb02g027470), squamosa promoter-binding-like protein 17 (Sb02g028420), similar to Os09g0505400 (OsPIN9) protein (Sb02g029210), squamosa promoter-binding-like protein 17 (Sb02g029300) similar to auxin-induced protein-like (Sb02g029630).
(355) In an embodiment, the locus is in Stg4 selected from brassinosteroid LRR receptor (Sb05g006842), brassinosteroid LRR receptor (Sb05g006860), putative far-red impaired response protein (Sb05g007130), cytochrome P450 84A1 (Sb05g007210), gibberellin receptor GID1L2 (Sb05g007270), gibberellin receptor GID1L2 (Sb05g007290), sucrose-phosphate synthase (Sb05g007310), aquaporin SIP1-1 (Sb05g007520), gibberellin 20 oxidase 2 (Sb05g008460), OsIAA29-auxin-responsive (Sb05g008510), OsIAA29-auxin-responsive (Sb05g008512), protein gibberellin receptor GID1L2 (Sb05g008610), similar to aminotransferase, putative (Sb05g009410), indole-3-acetic acid-amido (Sb05g010310), indole-3-acetic acid-amido (Sb05g010320), indole-3-acetic acid-amido (Sb05g010326), cytochrome P450 86A2 (Sb05g010360), cytochrome P450 51, putative (Sb05g011296), cytochrome P450 51, putative (Sb05g011430), triacylglycerol lipase, leaf senescence, jasmonic acid biosynthetic process_GO (Sb05g013160), growth regulator like (Sb05g015590), cytochrome P450 78A4 (Sb05g016750), similar to ABC transporter family protein, expressed (Sb05g017120) and squamosa promoter-binding-like protein 19 (Sb05g017510).
(356) Those skilled in the art will appreciate that aspects described herein are susceptible to variations and modifications other than those specifically described. It is to be understood that those aspects include all such variations and modifications. Aspects herein described also include all of the steps, features, compositions and compounds referred to or indicated in this specification, individually or collectively, and any and all combinations of any two or more of the steps or features.
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