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

文献类型： 外文期刊

第一作者： Wu, Qiu-Hong

作者： Wu, Qiu-Hong;Chen, Yong-Xing;Zhou, Sheng-Hui;Fu, Lin;Chen, Jiao-Jiao;Xiao, Yao;Zhang, Dong;Ouyang, Shu-Hong;Zhao, Xiao-Jie;Cui, Yu;Zhang, De-Yun;Liang, Yong;Wang, Zhen-Zhong;Xie, Jing-Zhong;Qin, Jin-Xia;Wang, Guo-Xin;Li, De-Lin;Huang, Yin-Lian;Yu, Mei-Hua;Lu, Ping;Wang, Li-Li;Wang, Ling;Wang, Hao;Dang, Chen;Li, Jie;Zhang, Yan;Peng, Hui-Ru;Yuan, Cheng-Guo;You, Ming-Shan;Sun, Qi-Xin;Liu, Zhi-Yong;Wang, Ji-Rui;Luo, Ming-Cheng;Wang, Ji-Rui;Wang, Li-Xin;Han, Jun

作者机构：

期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）

ISSN： 1932-6203

年卷期： 2015 年 10 卷 2 期

页码：

收录情况： SCI

摘要： 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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