Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice
Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice
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DOI：
10.1038/ng.3596
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发表时间：
2016-08-01
期刊：
影响因子：
30.8
通讯作者：
Matsuoka, Makoto
中科院分区：
文献类型：
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作者：
Yano, Kenji;Yamamoto, Eiji;Matsuoka, Makoto
全基因组关联研究（GWAS）是鉴定作物品种农艺性状相关基因的有力工具，但往往受到群体结构和大范围连锁不平衡的阻碍。在这项研究中，我们利用基于全基因组测序的GWAS技术鉴定水稻中重要的农艺基因，然后根据核苷酸多态性的估计效应筛选候选基因。利用这种方法，我们确定了四个与农艺性状相关的新基因。一些基因无法通过标准SNP分析检测到，但我们使用基于基因的关联分析检测到它们。该研究为利用GWAS快速鉴定与农艺性状相关的基因提供了基础见解，并将加速未来针对作物改良的努力。
A genome-wide association study ( GWAS) can be a powerful tool for the identification of genes associated with agronomic traits in crop species, but it is often hindered by population structure and the large extent of linkage disequilibrium. In this study, we identified agronomically important genes in rice using GWAS based on whole-genome sequencing, followed by the screening of candidate genes based on the estimated effect of nucleotide polymorphisms. Using this approach, we identified four new genes associated with agronomic traits. Some genes were undetectable by standard SNP analysis, but we detected them using gene-based association analysis. This study provides fundamental insights relevant to the rapid identification of genes associated with agronomic traits using GWAS and will accelerate future efforts aimed at crop improvement.