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

被引:1532
作者
Huang, Xuehui [1 ,2 ]
Wei, Xinghua [3 ]
Sang, Tao [5 ]
Zhao, Qiang [1 ,2 ]
Feng, Qi [1 ]
Zhao, Yan [1 ]
Li, Canyang [1 ]
Zhu, Chuanrang [1 ]
Lu, Tingting [1 ]
Zhang, Zhiwu [4 ]
Li, Meng [4 ,6 ]
Fan, Danlin [1 ]
Guo, Yunli [1 ]
Wang, Ahong [1 ]
Wang, Lu [1 ]
Deng, Liuwei [1 ]
Li, Wenjun [1 ]
Lu, Yiqi [1 ]
Weng, Qijun [1 ]
Liu, Kunyan [1 ]
Huang, Tao [1 ]
Zhou, Taoying [1 ]
Jing, Yufeng [1 ]
Li, Wei [1 ]
Lin, Zhang [1 ]
Buckler, Edward S. [4 ,7 ]
Qian, Qian [3 ]
Zhang, Qi-Fa [8 ]
Li, Jiayang [9 ]
Han, Bin [1 ,2 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Plant Physiol & Ecol, Natl Ctr Gene Res, Shanghai, Peoples R China
[2] Chinese Acad Sci, Beijing Inst Genom, CAS Key Lab Genome Sci & Informat, Beijing, Peoples R China
[3] Chinese Acad Agr Sci, China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou, Zhejiang, Peoples R China
[4] Cornell Univ, Inst Genom Divers, Ithaca, NY USA
[5] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA
[6] Nanjing Agr Univ, Coll Agr, State Key Lab Crop Genet & Germplasm Enhancement, Natl Ctr Soybean Improvement, Nanjing, Peoples R China
[7] USDA ARS, Ithaca, NY 14853 USA
[8] Huazhong Agr Univ, Natl Ctr Plant Gene Res Wuhan, Natl Key Lab Crop Genet Improvement, Wuhan, Peoples R China
[9] Chinese Acad Sci, Natl Ctr Plant Gene Res, Inst Genet & Dev Biol, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
ARABIDOPSIS-THALIANA; HAPLOTYPE MAP; CULTIVATED RICE; ORYZA-SATIVA; MAIZE; GENE; DOMESTICATION; PHENOTYPES; VARIETIES; SEQUENCE;
D O I
10.1038/ng.695
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
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.
引用
收藏
页码:961 / U76
页数:9
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