High-Density Genetic Linkage Map Construction and QTL Mapping of Grain Shape and Size in the Wheat Population Yanda1817 × Beinong6

Qiuhong Wu(China Agricultural University), Yongxing Chen(China Agricultural University), Shenghui Zhou(China Agricultural University), Lin Fu(China Agricultural University), Jiaojiao Chen(China Agricultural University), Yao Xiao(China Agricultural University), Dong Zhang(China Agricultural University), Shuhong Ouyang(China Agricultural University), Xiaojie Zhao(China Agricultural University), Yu Cui(China Agricultural University), Deyun Zhang(China Agricultural University), Yong Liang(China Agricultural University), Zhenzhong Wang(China Agricultural University), Jingzhong Xie(China Agricultural University), Jinxia Qin(China Agricultural University), Guoxin Wang(China Agricultural University), Delin Li(China Agricultural University), Yinlian Huang(China Agricultural University), Meihua Yu(China Agricultural University), Ping Lu(China Agricultural University), Lili Wang(Beijing Academy of Agricultural and Forestry Sciences), Ling Wang(China Agricultural University), Hao Wang(China Agricultural University), Chen Dang(China Agricultural University), Jie Li(China Agricultural University), Yan Zhang(China Agricultural University), Huiru Peng(China Agricultural University), Chengguo Yuan(China Agricultural University), Mingshan You(China Agricultural University), Qixin Sun(China Agricultural University), Jirui Wang(University of California, Davis), Lixin Wang(Beijing Academy of Agricultural and Forestry Sciences), Ming‐Cheng Luo(University of California, Davis), Jun Han(Beijing University of Agriculture), Zhiyong Liu(China Agricultural University)
PLoS ONE
February 12, 2015
Cited by 147Open Access
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Abstract

High-density genetic linkage maps are necessary for precisely mapping quantitative trait loci (QTLs) controlling grain shape and size in wheat. By applying the Infinium iSelect 9K SNP assay, we have constructed a high-density genetic linkage map with 269 F 8 recombinant inbred lines (RILs) developed between a Chinese cornerstone wheat breeding parental line Yanda1817 and a high-yielding line Beinong6. The map contains 2431 SNPs and 128 SSR & EST-SSR markers in a total coverage of 3213.2 cM with an average interval of 1.26 cM per marker. Eighty-eight QTLs for thousand-grain weight (TGW), grain length (GL), grain width (GW) and grain thickness (GT) were detected in nine ecological environments (Beijing, Shijiazhuang and Kaifeng) during five years between 2010-2014 by inclusive composite interval mapping (ICIM) (LOD ≥ 2.5). Among which, 17 QTLs for TGW were mapped on chromosomes 1A, 1B, 2A, 2B, 3A, 3B, 3D, 4A, 4D, 5A, 5B and 6B with phenotypic variations ranging from 2.62% to 12.08%. Four stable QTLs for TGW could be detected in five and seven environments, respectively. Thirty-two QTLs for GL were mapped on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6B, 7A and 7B, with phenotypic variations ranging from 2.62% to 44.39%. QGl.cau-2A.2 can be detected in all the environments with the largest phenotypic variations, indicating that it is a major and stable QTL. For GW, 12 QTLs were identified with phenotypic variations range from 3.69% to 12.30%. We found 27 QTLs for GT with phenotypic variations ranged from 2.55% to 36.42%. In particular, QTL QGt.cau-5A.1 with phenotypic variations of 6.82-23.59% was detected in all the nine environments. Moreover, pleiotropic effects were detected for several QTL loci responsible for grain shape and size that could serve as target regions for fine mapping and marker assisted selection in wheat breeding programs.


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