Département de Phytologie and Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, QC, Canada.
Plant Biotechnol J. 2015 Feb;13(2):211-21. doi: 10.1111/pbi.12249. Epub 2014 Sep 12.
Soya bean is a major source of edible oil and protein for human consumption as well as animal feed. Understanding the genetic basis of different traits in soya bean will provide important insights for improving breeding strategies for this crop. A genome-wide association study (GWAS) was conducted to accelerate molecular breeding for the improvement of agronomic traits in soya bean. A genotyping-by-sequencing (GBS) approach was used to provide dense genome-wide marker coverage (>47,000 SNPs) for a panel of 304 short-season soya bean lines. A subset of 139 lines, representative of the diversity among these, was characterized phenotypically for eight traits under six environments (3 sites × 2 years). Marker coverage proved sufficient to ensure highly significant associations between the genes known to control simple traits (flower, hilum and pubescence colour) and flanking SNPs. Between one and eight genomic loci associated with more complex traits (maturity, plant height, seed weight, seed oil and protein) were also identified. Importantly, most of these GWAS loci were located within genomic regions identified by previously reported quantitative trait locus (QTL) for these traits. In some cases, the reported QTLs were also successfully validated by additional QTL mapping in a biparental population. This study demonstrates that integrating GBS and GWAS can be used as a powerful complementary approach to classical biparental mapping for dissecting complex traits in soya bean.
大豆是人类食用和动物饲料的主要食用油和蛋白质来源。了解大豆不同性状的遗传基础将为改进该作物的育种策略提供重要的见解。进行了全基因组关联研究(GWAS),以加速大豆农艺性状的分子育种。采用测序(GBS)方法为 304 个短季大豆品系的小组提供了密集的全基因组标记覆盖(>47,000 个 SNP)。从这些品系中,选择了 139 个代表性的品系进行了表型特征分析,在六个环境(3 个地点×2 年)下对 8 个性状进行了分析。证明标记覆盖率足以确保与控制简单性状(花、种脐和柔毛颜色)的基因和侧翼 SNP 之间存在高度显著的关联。还鉴定出了 1 到 8 个与更复杂性状(成熟度、株高、种子重量、种子油和蛋白质)相关的基因组位点。重要的是,这些 GWAS 位点中的大多数都位于先前报道的这些性状的数量性状基因座(QTL)所确定的基因组区域内。在某些情况下,通过在双亲群体中进行额外的 QTL 作图,还成功验证了报告的 QTL。这项研究表明,整合 GBS 和 GWAS 可以作为一种强大的补充方法,用于剖析大豆中的复杂性状。