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Identification of modifiers of the plant height in wheat using an induced dwarf mutant controlled by RhtB4c allele

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Abstract

In wheat, 25 Rht genes for dwarfness are known, which include both, GA-insensitive and GA-responsive genes. The GA-insensitive Rht genes have been widely used, although, their suitability under abiotic stress conditions has been questioned. This necessitated a search for alternative GA-responsive, spontaneous and induced dwarfing genes. We earlier reported an induced dwarf mutant (‘dwarf mutant-3′; 44 cm), and the mutant allele was named Rht4c allele (2BL). This dwarf mutant was not suitable for cultivation due to its extra dwarf nature. Therefore, we searched for naturally occurring QTLs, which would modify the phenotype of ‘dwarf-mutant-3′ using ‘mutant-assisted gene identification and characterization’ (MAGIC) approach. For this purpose, the ‘dwarf mutant-3′ was crossed with a tall wheat cv. NP114 and homozygous mutant F2 plants (~ 25% of the progeny) were selected, which were phenotyped for plant height and genotyped using SSR markers. The data were utilized for QTL analysis and plant height. Six modifier QTLs were identified on chromosomes 2A, 2B and 4A. Two QTLs each on 2A and 2B were responsible for increase in plant height (described as ‘enhancer modifiers’), whereas the remaining two QTLs located on 4A were responsible for reducing the plant height (described as ‘suppressor modifiers’). It was hypothesized that the enhancer QTLs could be exploited for the development of semi-dwarf high yielding genotypes containing Rht4c allele. This is the first study of its kind in wheat demontsrating that the MAGIC approach could be used for identification of modifiers of the mutant phenotypes of other traits for wheat improvement.

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References

  • Agarwal P, Kumar S, Mir RR, Balyan HS, Gupta PK (2013) Some ENU induced mutations: a resource for functional genomics in bread wheat. Plant Mutat Rep 3:9–17

    Google Scholar 

  • Agarwal P, Jaiswal V, Kumar S, Balyan HS, Gupta PK (2015) Chromosome mapping of four novel mutants in bread wheat (Triticum aestivum L.). Acta Physiol Plant 37:66

    Google Scholar 

  • Amram A, Faidida-Myers A, Golan G, Nashef K, Ben-David PZ (2015) Effect of GA-sensitivity on wheat early vigor and yield components under deep sowing. Front Plant Sci 6:487. https://doi.org/10.3389/fpls.2015.00487

    Article  PubMed  PubMed Central  Google Scholar 

  • Bai C, Liang Y, Hawkesford MJ (2013) Identification of QTLs associated with seedling root traits and their correlation with plant height in wheat. J Exp Bot 64:1745–1753

    CAS  PubMed  PubMed Central  Google Scholar 

  • Baye A, Berihun B, Bantayehu M, Derebe B (2020) Genotypic and phenotypic correlation and path coefficient analysis for yield and yield related traits in advanced bread wheat (Triticum aestivum L.) lines. Cogent Food Agric 6:1752603

    Google Scholar 

  • Basten CJ, Weir BS, Zeng Z-B (1994) Zmap-a QTL cartographer. In: Smith C, Gavora JS, Benkel B, Chesnais J, Fairfull W, Gibson JP, Kennedy BW, Burnside EB (eds) Proc 5th World congress of genetics applied to livestock production: computing strategies and software. 5th World Congress on Genetics Applied to Livestock Production, Guelph, Ontario, pp 65–66

    Google Scholar 

  • Borner A, Schumann E, Fürste A, Cöster H, Leithold B, Röder MS, Weber WE (2002) Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet 105:921–936

    PubMed  Google Scholar 

  • Borojevic K, Borojevic K (2005) The transfer and history of “reduced height genes” (Rht) in wheat from Japan to Europe. J Hered 96:455–459

    CAS  PubMed  Google Scholar 

  • Casperini D, Greenland A, Hedden P, Dreos R, Harwood W, Griffiths S (2012) Genetic and physiological analysis of Rht8 in bread wheat: an alternative source of semi-dwarfism with a reduced sensitivity to brassinosteroids. J Exp Bot 63:4419–4436

    Google Scholar 

  • Chandler CH, Chari C, Dworkin I (2013) Does your gene need a background check? how genetic background impacts the analysis of mutations, genes, and evolution. Trends Genet 29:358–366

    CAS  PubMed  PubMed Central  Google Scholar 

  • Chaikam V, Negeri A, Dhawan R, Puchaka B, Ji J, Chintamanani S, Gachomo EW, Zillmer A, Doran T, Weil C, Balint-Kurti P, Johal G (2011) Use of mutant-assisted gene identification and characterization (MAGIC) to identify novel genetic loci that modify the maize hypersensitive response. Theor Appl Genet 123:985–997

    PubMed  Google Scholar 

  • Chintamanani S, Hulbert SH, Johal GS, Balint-Kurti PJ (2010) Identification of a maize locus that modulates the hypersensitive defense response, using mutant-assisted gene identification and characterization. Genetics 184:813–825

    CAS  PubMed  PubMed Central  Google Scholar 

  • Dan S, Zhao Z, Qiao Y, Cui C, Morgunov A, Condon AG, Chen L, Hu Y-G (2020) GAR dwarf gene Rht14 reduced plant height and affected agronomic traits in durum wheat (Triticum durum). Field Crops Res 248:107721. https://doi.org/10.1016/j.fcr.2020.107721

    Article  Google Scholar 

  • Du YY, Chen L, Wang YS, Yang ZY, Saeed I, Daoura BG, Hu YG (2018) The combination of dwarf genes Rht4 and Rht8 reduced plant height, improved yield traits of rainfed bread wheat (Triticum aestivum L.). Field Crops Res 215:149–155

    Google Scholar 

  • Ellis MH, Spielmeyer W, Gale KR, Rebetzke GJ, Richards RA (2002) “Perfect” markers for the Rht-B1b and Rht-D1b dwarfing genes in wheat. Theor Appl Genet 105:1038–1042

    CAS  PubMed  Google Scholar 

  • Ellis MH, Rebetzke GJ, Chandler P, Bonnett D, Spielmeyer W, Richards RA (2004) The effect of different height reducing genes on the early growth of wheat. Funct Plant Biol 31:583–589

    CAS  PubMed  Google Scholar 

  • Ellis MH, Rebetzke GJ, Azanza F, Richards RA, Spielmeyer W (2005) Molecular mapping of gibberellin-responsive dwarfing genes in bread wheat. Theor Appl Genet 111:423–430

    CAS  PubMed  Google Scholar 

  • Goud JV, Sridevi O (1988) Cytogenetics investigation of some quantitative characters in hexaploid wheat (Triticum aestivum L) using F2 monosomic analysis. In: Miller TE, Koenbner RMD (eds) Proc VIIth int wheat genetics symposium. Institute of Pl Sci Res, Cambridge Lab, Trumpington, Cambridge, pp 521–525

    Google Scholar 

  • Griffiths S, Simmonds J, Leverington M, Wang YK, Fish L, Sayers L, Alibert L, Orford S, Wingen L, Snape J (2012) Meta-QTL analysis of the genetic control of crop height in elite European winter wheat germplasm. Mol Breed 29:159–171

    Google Scholar 

  • Grover G, Sharma A, Gill HS, Srivastava P, Bains NS (2018) Rht8 gene as an alternate dwarfing gene in elite Indian spring wheat cultivars. PLoS ONE 13:e0199330. https://doi.org/10.1371/journal.pone.0199330

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hedden P (2003) The genes of the green revolution. Trends Genet 19:5–9

    CAS  PubMed  Google Scholar 

  • Huang XQ, Cöster H, Ganal MW, Röder MS (2003) Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.). Theor Appl Genet 106:1379–1389

    CAS  PubMed  Google Scholar 

  • Jia H, Wan H, Yang S et al (2013) Genetic dissection of yield-related traits in a recombinant inbred line population created using a key breeding parent in China’s wheat breeding. Theor Appl Genet 126:2123–2139

    CAS  PubMed  Google Scholar 

  • Jobson EM, Johnston RE, Oiestad AJ, Martin JA, Gioux MJ (2019) The impact of the wheat Rht-B1b semi-dwarfing allele on photosynthesis and seed development under field conditions. Front Plant Sci 10:51. https://doi.org/10.3389/fpls.2019.00051

    Article  PubMed  PubMed Central  Google Scholar 

  • Johal GS, Balint-Kurti P, Weil CF (2008) Mining and harnessing natural variation: a little MAGIC. Crop Sci 48:2066–2073

    Google Scholar 

  • Kocherina NV, Artem’eva AM, Chesnokov YuV (2011) Use of LOD score technology in mapping quantitative trait loci in plants. Russ Agric Sci 37:201–204

    Google Scholar 

  • Konzak CF (1988) Genetic analysis, genetic improvement and evaluation of induced semi-dwarf mutants in wheat. In: Semidwarf cereal mutants and their use in cross-breeding III, research coordination meeting, 16–20 December 1985. International Atomic Energy Agency, Vienna, p. 77–94

  • Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE, Newburg L (1987) MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181

    CAS  PubMed  Google Scholar 

  • Lincoln SE, Daly MJ, Lander ES (1993) Constructing genetic linkage maps with MAPMAKER/EXP. Whitehead Institute for Biomedical Research, Cambridge, MA

    Google Scholar 

  • Liu G, Jia L, Lu L et al (2014) Mapping QTLs of yield-related traits using RIL population derived from common wheat and Tibetan semi-wild wheat. Theor Appl Genet 127:2415–2432

    CAS  PubMed  Google Scholar 

  • Liu J, Wu B, Singh RP, Velu G (2019) QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population. J Cereal Sci 88:57–64

    CAS  Google Scholar 

  • Lozada DN, Mason RE, Babar MA et al (2017) Association mapping reveals loci associated with multiple traits that affect grain yield and adaptation in soft winter wheat. Euphytica 213:222

    Google Scholar 

  • Maluszynski M, Szarejko I, Maluszynska J (2001) Induced mutations in wheat. In: Bonjean AP, Angus WJ (eds) The world wheat book. Lavoisier Publishing, London, pp 939–977

    Google Scholar 

  • Marza F, Bai G-H, Carver BF, Zhou W-C (2006) Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark. Theor Appl Genet 112:688–698

    CAS  PubMed  Google Scholar 

  • Mathews KL, Chapman SC, Trethowan R, Singh RP, Crossa J, Pfieffer W, van Ginkel M, DeLacy I (2006) Global adaptation of spring bread wheat and durum wheat lines near isogenic for major reduced height genes. Crop Sci 46:603–613

    Google Scholar 

  • McIntosh RA, Dubcovsky J, Rogers WJ, Morris C, Xia XC (2017) Catalogue of gene symbols for wheat: 2017 supplement. https://shigen.nig.ac.jp/wheat/komugi/genes/macgene/supplement2017.pdf

  • Mo YJ, Vanzetti LS, Hale I, Spagnolo EJ, Guidobaldi F, Al-Oboudi J, Odle N, Pearce S, Helguera M, Dubcovsky J (2018) Identification and characterization of Rht25, a locus on chromosome arm 6AS affecting wheat plant height, heading time, and spike development. Theor Appl Genet 131:2021–2035

    CAS  PubMed  Google Scholar 

  • Parry MAJ, Madgwick PJ, Bayon C et al (2009) Mutation discovery for crop improvement. J Exp Bot 60:2817–2825

    CAS  PubMed  Google Scholar 

  • Penning BW, Johal GS, McMullen MD (2004) A major suppressor of cell death, slm1, modifies the expression of the maize (Zea mays L.) lesion mimic mutation les23. Genome 47:961–969

    CAS  PubMed  Google Scholar 

  • Prasanna BM, Vasal SK, Kassahun B, Singh NN (2001) Quality protein maize. Curr Sci 81:1308–1319

    CAS  Google Scholar 

  • Qaseem MF, Qureshi R, Muqaddasi QH, Shaheen H, Kousar R, Roder MS (2018) Genome wide association in bread wheat subjected to independent and combined heat and drought stress. PLoS ONE 13:e0199121

    PubMed  PubMed Central  Google Scholar 

  • Rebetzke GJ, Richards RA (2000) Gibberellic acid-sensitive dwarfing genes reduce plant height to increase kernel number and grain yield of wheat. Aust J Agric Res 51:235–245

    CAS  Google Scholar 

  • Rebetzke GJ, Appels R, Morrison AD, Richards RA, McDonald G, Ellis MH, Spielmeyer W, Bonnett DG (2001) Quantitative trait loci on chromosome 4B for coleoptile length and early vigour in wheat (Triticum aestivum L.). Aust J Agric Res 52:1221–1234

    CAS  Google Scholar 

  • Rebetzke GJ, Ellis MH, Bonnett DG, Condon AG, Falk D, Richards RA (2011) The Rht13 dwarf gene reduces peduncle length and plant height to increase grain number and yield of wheat. Field Crops Res 124:323–331

    Google Scholar 

  • Saghai-Maroof MA, Biyashev RM, Yang GP, Zhang Q, Allard W (1984) Extraordinarily polymorphic microsatellite DNA in barley: species diversity, chromosomal locations, and population dynamics. Proc Natl Acad Sci 91:5466–5470

    Google Scholar 

  • Sannemann W, Lisker A, Maurer A, Léon J, Kazman E, Cöster H, Holzapfel J, Kempf H, Korzun V, Ebmeyer E, Pillen K (2018) Adaptive selection of founder segments and epistatic control of plant height in the MAGIC winter wheat population WM-800. BMC Genomics 19:559

    PubMed  PubMed Central  Google Scholar 

  • Sheoran S, Singh V, Malik R, Kundu S, Tiwari R, Kumar R, Shoran J (2013) Distribution of dwarfing genes Rht-B1b and Rht-D1b in Indian wheat (Triticum aestivum) cultivars detected by functional markers. Indian J Agric Sci 83:820–825

    Google Scholar 

  • Somers DJ, Isaac P, Edwards K (2004) A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet 109:1105–1114

    CAS  PubMed  Google Scholar 

  • Tracy WF (1997) History, genetics and breeding of super sweet (shrunken2) sweet corn. Plant Breed Rev 14:189–236

    Google Scholar 

  • Tegelstrom H (1992) Detection of mitochondrial DNA fragments. In: HoeIzel AR (ed) Molecular genetic analysis of populations: a practical approach. IRL Press, Oxford, pp 89–114

    Google Scholar 

  • Wang S, Basten CJ, Zeng ZB (2012) Windows QTL cartographer 2.5. Depaertment of statistics, North Carolina State University, Raleigh, NC (https://statgen.ncsu.edu/qtlcart/WQTLCart.htm)

  • Wang Y, Chen L, Du Y, Yang Z, Condon AG, Hu YG (2014) Genetic effect of dwarf gene Rht13 compared with Rht-D1b on plant height and some agronomic traits in common wheat (Triticum aestivum L.). Field Crops Res 162:39–47

    Google Scholar 

  • Wurschum T, Langer SM, Longin CFH, Tucker MR, Leiser WL (2017) A modern green revolution gene for reduced height in wheat. Plant J 92:892–903

    PubMed  Google Scholar 

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Acknowledgements

HSB was awarded the Senior Scientist position by INSA, New Delhi. Thanks are due to Head of the Department for providing facilities.

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PKG and HSB conceived the study and wrote the manuscript. PA conducted the field and laboratory experiment and analysed the data.

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Correspondence to P. K. Gupta.

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Agarwal, P., Balyan, H.S. & Gupta, P.K. Identification of modifiers of the plant height in wheat using an induced dwarf mutant controlled by RhtB4c allele. Physiol Mol Biol Plants 26, 2283–2289 (2020). https://doi.org/10.1007/s12298-020-00904-0

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