Literature DB >> 25643055

Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean.

Zhengkui Zhou1, Yu Jiang2, Zheng Wang1, Zhiheng Gou3, Jun Lyu4, Weiyu Li1, Yanjun Yu5, Liping Shu4, Yingjun Zhao3, Yanming Ma1, Chao Fang6, Yanting Shen6, Tengfei Liu6, Congcong Li6, Qing Li6, Mian Wu1, Min Wang6, Yunshuai Wu1, Yang Dong4, Wenting Wan4, Xiao Wang3, Zhaoli Ding4, Yuedong Gao4, Hui Xiang4, Baoge Zhu1, Suk-Ha Lee7, Wen Wang4, Zhixi Tian1.   

Abstract

Understanding soybean (Glycine max) domestication and improvement at a genetic level is important to inform future efforts to further improve a crop that provides the world's main source of oilseed. We detect 230 selective sweeps and 162 selected copy number variants by analysis of 302 resequenced wild, landrace and improved soybean accessions at >11× depth. A genome-wide association study using these new sequences reveals associations between 10 selected regions and 9 domestication or improvement traits, and identifies 13 previously uncharacterized loci for agronomic traits including oil content, plant height and pubescence form. Combined with previous quantitative trait loci (QTL) information, we find that, of the 230 selected regions, 96 correlate with reported oil QTLs and 21 contain fatty acid biosynthesis genes. Moreover, we observe that some traits and loci are associated with geographical regions, which shows that soybean populations are structured geographically. This study provides resources for genomics-enabled improvements in soybean breeding.

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Year:  2015        PMID: 25643055     DOI: 10.1038/nbt.3096

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  55 in total

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10.  Erratum: Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean.

Authors:  Zhengkui Zhou; Yu Jiang; Zheng Wang; Zhiheng Gou; Jun Lyu; Weiyu Li; Yanjun Yu; Liping Shu; Yingjun Zhao; Yanming Ma; Chao Fang; Yanting Shen; Tengfei Liu; Congcong Li; Qing Li; Mian Wu; Min Wang; Yunshuai Wu; Yang Dong; Wenting Wan; Xiao Wang; Zhaoli Ding; Yuedong Gao; Hui Xiang; Baoge Zhu; Suk-Ha Lee; Wen Wang; Zhixi Tian
Journal:  Nat Biotechnol       Date:  2016-04       Impact factor: 54.908

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