西亚试剂：Genome-wide association studies of 14 agronomic traits in r

Genome-wide association studies of 14 agronomic traits in rice landraces
Xuehui Huang1,2,10, Xinghua Wei3,10, Tao Sang4,10, Qiang Zhao1,2,10, Qi Feng1,10, Yan Zhao1, Canyang Li1, Chuanrang Zhu1, Tingting Lu1, Zhiwu Zhang5, Meng Li5,6, Danlin Fan1, Yunli Guo1, Ahong Wang1, Lu Wang1, Liuwei Deng1, Wenjun Li1, Yiqi Lu1, Qijun Weng1, Kunyan Liu1, Tao Huang1, Taoying Zhou1, Yufeng Jing1, Wei Li1, Zhang Lin1, Edward S Buckler5,7, Qian Qian3, Qi-Fa Zhang8, Jiayang Li9 & Bin Han1,2

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 ~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 ~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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