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Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping

机译:水稻水稻籽粒性状的遗传多样性和优良等位基因挖掘的关联映射法。

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摘要

Mining elite alleles for grain size and weight is of importance for the improvement of cultivated rice and selection for market demand. In this study, association mapping for grain traits was performed on a selected sample of 628 rice cultivars using 262 SSRs. Grain traits were evaluated by grain length (GL), grain width (GW), grain thickness (GT), grain length to width ratio (GL/GW), and 1000-grain weight (TGW) in 2013 and 2014. Our result showed abundant phenotypic and genetic diversities found in the studied population. In total, 2953 alleles were detected with an average of 11.3 alleles per locus. The population was divided into seven subpopulations and the levels of linkage disequilibrium (LD) ranged from 34 to 84 cM. Genome-wide association mapping detected 10 marker trait association (MTAs) loci for GL, 1MTAs locus for GW, 7 MTAs loci for GT, 3 MTAs loci for GL/GW, and 1 MTAs locus for TGW. Twenty-nine, 2, 10, 5, and 3 elite alleles were found for the GL, GW, GT, GL/GW, and TGW, respectively. Optimal cross designs were predicted for improving the target traits. The accessions containing elite alleles for grain traits mined in this study could be used for breeding rice cultivars and cloning the candidate genes.
机译:挖掘谷物的大小和重量的等位基因对于改良栽培稻和选择市场需求非常重要。在这项研究中,使用262个SSR对628个水稻品种的选定样本进行了谷物性状的关联作图。通过2013年和2014年的籽粒长度(GL),籽粒宽度(GW),籽粒厚度(GT),籽粒长宽比(GL / GW)和1000粒重(TGW)评估了谷物的性状。我们的结果表明在研究人群中发现丰富的表型和遗传多样性。总共检测到2953个等位基因,平均每个位点有11.3个等位基因。人口分为七个亚群,连锁不平衡(LD)的水平范围从34到84 cM。全基因组关联映射检测到GL的10个标记性状关联(MTA)基因座,GW的1MTA基因座,GT的7个MTA基因座,GL / GW的3个MTA基因座和TGW的1个MTA基因座。发现GL,GW,GT,GL / GW和TGW分别为29、2、10、5和3个等位基因。预测了最佳的交叉设计可改善目标性状。本研究中获得的具有优良性状的优良等位基因材料可用于水稻育种和克隆候选基因。

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