共 42 条
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.
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页码:961 / U76
页数:9
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