Genome-wide association studies of 14 agronomic traits in rice landraces

文献类型： 外文期刊

第一作者： Huang, Xuehui

作者： Huang, Xuehui;Zhao, Qiang;Feng, Qi;Zhao, Yan;Li, Canyang;Zhu, Chuanrang;Lu, Tingting;Fan, Danlin;Guo, Yunli;Wang, Ahong;Wang, Lu;Deng, Liuwei;Li, Wenjun;Lu, Yiqi;Weng, Qijun;Liu, Kunyan;Huang, Tao;Zhou, Taoying;Jing, Yufeng;Li, Wei;Lin, Zhang;Han, Bin;Huang, Xuehui;Zhao, Qiang;Han, Bin;Wei, Xinghua;Qian, Qian;Zhang, Zhiwu;Li, Meng;Buckler, Edward S.;Sang, Tao;Li, Meng;Buckler, Edward S.;Zhang, Qi-Fa;Li, Jiayang

作者机构：

期刊名称：NATURE GENETICS （ 影响因子：38.33； 五年影响因子：36.431 ）

ISSN： 1061-4036

年卷期： 2010 年 42 卷 11 期

页码：

收录情况： SCI

摘要： Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified similar to 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained similar to 36% of the phenotypic variance, on average. The peak signals at six loci were tied closely to previously identified genes. This study provides a fundamental resource for rice genetics research and breeding, and demonstrates that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.

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