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Validation of gene based marker-QTL association for grain dimension traits in rice

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Abstract

Validation of marker-QTL association for genes grain size 3 (GS3), grain weight 2 (GW2), seed width 5 (qSW5) and a QTL qgrl7.1 for grain length was undertaken in a set of 242 diverse rice germplasm. Further, the study was extended to an F2 mapping population derived from cross of Sonasal, a short grain aromatic rice landrace with Pusa Basmati 1121, a variety with extra long slender grains. Seven gene specific markers, namely, SF28, SR17, RGS1and RGS2 based on GS3, W004 for GW2, MS40671 for qSW5 and RM505 for qgrl7.1, were used for validation. Single marker analysis revealed significant association of these markers to grain size and shape. The marker SF28 explained highest phenotypic variance (37 %) while the marker W004 explained lowest variance (2.6 %) for grain length in the germplasm set at the significance level P < 0.05. Three markers namely, SF28, MS40671 and RM505 were polymorphic between the parents Sonasal and Pusa Basmati 1121. In the F2 population, the marker SF28 linked to gene GS3 explained highest phenotypic variance (32.5 %), while RM505 linked to qgrl7.1 explained 5.4 % of phenotypic variance for grain length. The marker SF28 was found to be most robust in the validation studies both in germplasm and F2 population. The validated gene specific markers can be utilised in marker assisted selection for improving grain size and shape as these traits have significant contribution towards grain quality and grain yield. This is the first study on validation of gene based markers for grain dimension traits in Indian rice germplasm.

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Abbreviations

GS3 :

Grain size 3

GW2 :

Grain weight 2

qSW5 :

QTL for Seed width on chromosome 5

QTL:

Quantitative trait locus

SNP:

Single nucleotide polymorphism

MAS:

Marker assisted selection

CAPS:

Cleaved amplified polymorphic sequences

References

  • Aluko G, Martinez C, Tohme J, Castano C, Bergman CJ, Oard JH (2004) QTL mapping of grain quality traits from the interspecific cross Oryza sativa x Oryza glaberrima. Theor Appl Genet 109:630–639

    Article  PubMed  CAS  Google Scholar 

  • Amarawathi Y, Singh R, Singh AK, Singh VP, Mohapatra T, Sharma TR, Singh NK (2008) Mapping of quantitative trait loci for basmati quality traits in rice (Oryza sativa L.). Mol Breed 21:49–65

    Article  CAS  Google Scholar 

  • Bai XF, Luo LJ, Yan WH, Rao KM, Zhan W, Xing YZ (2010) Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL7. BMC Genetic 11:16

    Article  Google Scholar 

  • Bollich CN (1957) Inheritance of several economic quantitative characters in rice. Diss Abstr 17:1638

    Google Scholar 

  • Chau LF (1928) Linkage studies in rice. Genetics 13:133–169

    Google Scholar 

  • Fan CC, Xing YZ, Mao HL, Lu TT, Han B, Xu CG, Li XH, Zhang QF (2006) GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Appl Genet 112:1164–1171

    Article  PubMed  CAS  Google Scholar 

  • Fan CC, Yu SB, Wang CR, Xing YZ (2008) A causal C–A mutation in the second exon of GS3 highly associated with rice grain length and validated as a functional marker. Theor Appl Genet 118:465–472

    Article  PubMed  Google Scholar 

  • Huang N, Parco A, Mew T, Magpantay G, McCouch S, Guiderdoni E, Xu JC, Subudhi P, Angeles ER, Khush GS (1997) RFLP mapping of isozymes, RAPD, and QTLs for grain shape, brown planthopper resistance in a doubled–haploid rice population. Mol Breed 3:105–113

    Article  CAS  Google Scholar 

  • Khush GS, Paule CM, Cruz NM (1979) Rice grain quality evaluation and improvement at IRRI. Proc. of the workshop on Chemical Aspects of Rice Grain Quality, Int. Rice res. Inst, los Banos, Laguna, Phillippines, pp 21–31

    Google Scholar 

  • Kubo T, Kai T, Yoshimura A (2001) RFLP mapping of genes for long kernel and awn on chromosome 3 in rice. Rice Genet Newsl 18:26–28

    CAS  Google Scholar 

  • Li J, Xiao J, Grandillo S, Jiang L, Wan Y, Deng Q, Yuan L, McCouch SR (2004) QTL detection for rice grain quality traits using an interspecific back–cross population derived from cultivated Asian (O. sativa L.) and African (O. glaberrima S.) rice. Genome 47:697–704

    Article  PubMed  CAS  Google Scholar 

  • Murray MG, Thompson WF (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res 8:4321–4325

    Article  PubMed  CAS  Google Scholar 

  • Ramaiah K, Parthasarthy N (1933) Inheritance of grain length in rice (Oryza sativa L). Indian J Agric Sci 3:808–819

    Google Scholar 

  • Redona ED, Mackill DJ (1998) Quantitative trait locus analysis for rice panicle and grain characteristics. Theor Appl Genet 96:957–963

    Article  CAS  Google Scholar 

  • Shao G, Wei X, Chen M, Tang S, Luo J, Jiao, Xie L, Hu P (2012) Allelic variation for a candidate gene for GS7, responsible for grain shape in rice. Theor Appl Genet. doi:10.1007/s00122-012-1914-7

  • Shomura A, Izawa T, Ebana K, Ebitani T, Kanegae H, Konishi S, Yano M (2008) Deletion in a gene associated with grain size increased yields during rice domestication. Nat Genet 40:1023–1028

    Article  PubMed  CAS  Google Scholar 

  • SAS Institute Inc. (2008) SAS/STAT: version 9.2 Users Guide, Cary, North Carolina, USA, 2nd edition.

  • Song XJ, Huang W, Shi M, Zhu MZ, Lin HX (2007) A QTL for rice grain width and weight encodes a previously unknown RING–type E3 ubiquitin ligase. Nat Genet 39:623–630

    Article  PubMed  CAS  Google Scholar 

  • Takano-Kai N, Jiang H, Kubo T, Sweeney M, Matsumoto T, Kanamori H, Padhukasahasram B, Bustamante C, Yoshimura A, Doi K, McCouch S (2009) Evolutionary history of GS3, a gene conferring grain length in rice. Genetics 182(4):1323–1334

    Article  PubMed  CAS  Google Scholar 

  • Tan YF, Xing YZ, Li JX, Yu SB, Xu CG, Zhang QF (2000) Genetic bases of appearance quality of rice grains in Shanyou 63, an elite rice hybrid. Theor Appl Genet 101:823–829

    Article  CAS  Google Scholar 

  • Thomson MJ, Tai TH, McClung AM, Lai XH, Hinga ME (2003) Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theor Appl Genet 107:479–493

    Article  PubMed  CAS  Google Scholar 

  • Unnevehr LJ, Du VB, Juliano BO (1992) Consumer demand for rice grain quality. International Rice Research Institute and International Development Research Center, Manila, Ottawa

    Google Scholar 

  • Wan XY, Wan JM, Jiang L, Wang JK, Zhai HQ, Weng JF, Wang HL, Lei CL, Wang JL, Zhang X, Cheng ZJ, Guo XP (2006) QTL analysis for rice grain length and fine mapping of an identified QTL with stable and major effects. Theor Appl Genet 112:1258–1270

    Article  PubMed  CAS  Google Scholar 

  • Wan XY, Wan JM, Weng JF, Jiang L, Bi JC, Wang CM, Zhai HQ (2005) Stability of QTLs for rice grain dimension and endosperm chalkiness characteristics across eight environments. Theor Appl Genet 110:1334–1346

    Article  PubMed  CAS  Google Scholar 

  • Wang E, Wang J, Zhu X, Hao W, Wang L (2008) Control of rice grain-filling and yield by a gene with a potential signature of domestication. Nat Genet 40:1370–1374

    Article  PubMed  CAS  Google Scholar 

  • Wang C, Chen S, Yu S (2010) Functional markers developed from multiple loci in GS3 for fine marker–assisted selection of grain length in rice. Theor Appl Genet. doi:10.1007/s00122-010-1497-0

  • Xing YZ, Tan YF, Hua JP, Sun XL, Xu CG (2002) Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theor Appl Genet 105:248–257

    Article  PubMed  CAS  Google Scholar 

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Acknowledgement

This work was supported by Network Project on Transgenic in Crops (NPTC) funded by Indian Council of Agricultural Research, New Delhi.

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Correspondence to A. K. Singh.

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Anand, D., Baunthiyal, M., Singh, A. et al. Validation of gene based marker-QTL association for grain dimension traits in rice. J. Plant Biochem. Biotechnol. 22, 467–473 (2013). https://doi.org/10.1007/s13562-012-0176-4

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