High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat
High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat
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小麦抗病性和耐寒性的高分辨率全基因组关联研究及基因组预测
DOI：
10.1007/s00122-021-03863-6
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发表时间：
2021-06-01
影响因子：
5.4
通讯作者：
Liu, Shubing
中科院分区：
文献类型：
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作者：
Pang, Yunlong;Wu, Yuye;Liu, Shubing
关键信息高分辨率全基因组关联研究（GWAS）有助于QTL精细定位和候选基因鉴定，基于GWAS的基因组预测模型具有较高的预测性，在小麦基因组育种中具有重要的应用价值。小麦是一种主要的粮食作物，为人类提供超过五分之一的每日热量和膳食蛋白质。小麦抗逆和耐逆相关性状的全基因组关联分析（GWAS）和基因组选择（GS）是了解小麦抗逆和耐逆相关性状遗传结构、提高育种选择效率的关键。然而，以往的研究中标记密度不足，限制了GWAS和GS在小麦基因组育种中的应用。在这里，我们进行了一个高分辨率的GWAS小麦叶锈病（LR），黄锈病（YR），白粉病（PM），和耐冷性（CT）的基因分型面板的768个小麦品种使用基因分型测序。在153个数量性状位点（QTL）中，共定位了81个QTL，
Key message High-resolution genome-wide association study (GWAS) facilitated QTL fine mapping and candidate gene identification, and the GWAS based genomic prediction models were highly predictive and valuable in wheat genomic breeding. Wheat is a major staple food crop and provides more than one-fifth of the daily calories and dietary proteins for humans. Genome-wide association study (GWAS) and genomic selection (GS) for wheat stress resistance and tolerance related traits are critical to understanding their genetic architecture for improvement of breeding selection efficiency. However, the insufficient marker density in previous studies limited the utility of GWAS and GS in wheat genomic breeding. Here, we conducted a high-resolution GWAS for wheat leaf rust (LR), yellow rust (YR), powdery mildew (PM), and cold tolerance (CT) by genotyping a panel of 768 wheat cultivars using genotyping-by-sequencing. Among 153 quantitative trait loci (QTLs) identified, 81 QTLs were delimited to