Genomic variation in 3,010 diverse accessions of Asian cultivated rice

文献类型： 外文期刊

第一作者： Wang, Wensheng

作者： Wang, Wensheng;Hu, Zhiqiang;Wu, Zhichao;Zheng, Tianqing;Zhang, Fan;Xu, Jianlong;Fu, Binying;Gao, Yongming;Zhao, Xiuqin;Zhou, Yongli;Wang, Chunchao;Li, Jiayang;Li, Zhikang;Mauleon, Ramil;Chebotarov, Dmytro;Fuentes, Roven Rommel;Mansueto, Locedie;Copetti, Dario;Sanciangco, Millicent;Palis, Kevin Christian;Detras, Jeffrey;Li, Jing;Ulat, Victor Jun;Borja, Frances Nikki;Ali, Jauhar;Naredo, Ma. Elizabeth B.;Hamilton, Ruaraidh Sackville;Wing, Rod A.;Alexandrov, Nickolai;McNally, Kenneth L.;Leung, Hei;Hu, Zhiqiang;Sun, Chen;Cui, Xiao;Chen, Miaolin;Zhao, Yue;Li, Rui;Jia, Ben;Lu, Jinyuan;He, Xianchang;Dong, Zhaotong;Shi, Jianxin;Li, Jing;Zhang, Dabing;Wei, Chaochun;Tai, Shuaishuai;Xu, Jiabao;Li, Yanhong;Wang, Miao;Hu, Wushu;Gao, Qiang;Niu, Yongchao;Yue, Zhen;Fang, Xiaodong;Yin, Ye;Zhang, Gengyun;Wu, Zhichao;Xu, Jianlong;Zhang, Xinyuan;Ruan, Jue;Li, Min;Zhang, Gengyun;Li, Zhikang;Li, Min;Copetti, Dario;Kudrna, Dave;Lee, Seunghee;Talag, Jayson;Zhang, Jia

作者机构：

期刊名称：NATURE （ 影响因子：49.962； 五年影响因子：54.637 ）

ISSN： 0028-0836

年卷期： 2018 年 557 卷 7703 期

页码：

收录情况： SCI

摘要： Here we analyse genetic variation, population structure and diversity among 3,010 diverse Asian cultivated rice (Oryza sativa L.) genomes from the 3,000 Rice Genomes Project. Our results are consistent with the five major groups previously recognized, but also suggest several unreported subpopulations that correlate with geographic location. We identified 29 million single nucleotide polymorphisms, 2.4 million small indels and over 90,000 structural variations that contribute to within-and between-population variation. Using pan-genome analyses, we identified more than 10,000 novel full-length protein-coding genes and a high number of presence-absence variations. The complex patterns of introgression observed in domestication genes are consistent with multiple independent rice domestication events. The public availability of data from the 3,000 Rice Genomes Project provides a resource for rice genomics research and breeding.

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