State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.
Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture, The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Theor Appl Genet. 2019 Nov;132(11):3115-3128. doi: 10.1007/s00122-019-03410-4. Epub 2019 Aug 9.
The quantitative trait loci (QTLs) for grain morphological traits were identified via nested association mapping and validated in a natural wheat population via haplotype analysis. Grain weight, one of the three most important components of crop yield, is largely determined by grain morphological traits. Dissecting the genetic bases of grain morphology could facilitate the improvement of grain weight and yield production. In this study, four wheat recombinant inbred line populations constructed by crossing the modern variety Yanzhan 1 with three semi-wild wheat varieties (i.e., Chayazheda, Yutiandaomai, and Yunnanxiaomai from Xinjiang, Tibet, and Yunnan, respectively) and one exotic accession Hussar from Great Britain were investigated for grain weight and eight morphological traits in seven environments. Eighty-eight QTLs for all measured traits were totally identified through nested association mapping utilizing 14,643 high-quality polymorphic single nucleotide polymorphism (SNP) markers generated by 90 K SNP array. Among them, 64 (72.7%) QTLs have the most favorable alleles donated by semi-wild wheat varieties. For 14 QTL clusters affecting at least two grain morphological traits, nine QTL clusters were located in similar position with known genes/QTL, and the other five were novel. Three important novel QTLs (i.e., qTGW-1B.1, qTGW-1B.2, and qTGW-1A.1) were further validated in a natural wheat population via haplotype analysis. The favorable haplotypes for these three QTLs might be used in marker-assisted selection for the improvement of wheat yield by modifying morphological traits.
通过嵌套关联作图鉴定了谷物形态性状的数量性状基因座（QTLs），并通过单倍型分析在自然小麦群体中进行了验证。谷物重量是作物产量的三个最重要组成部分之一，主要由谷物形态性状决定。解析谷物形态的遗传基础可以促进谷物重量和产量的提高。在这项研究中，通过将现代品种燕占 1 与三个半野生小麦品种（即来自新疆、西藏和云南的察雅泽达、玉田岛麦和云南小麦）以及一个来自英国的外来品系 Hussar 杂交构建的四个小麦重组自交系群体，在七个环境中对谷物重量和八个形态性状进行了研究。通过利用 90K SNP 芯片生成的 14643 个高质量多态性单核苷酸多态性（SNP）标记，通过嵌套关联作图共鉴定了 88 个与所有测量性状相关的 QTL。其中，64 个（72.7%）QTL 具有半野生小麦品种提供的最有利等位基因。对于至少影响两个谷物形态性状的 14 个 QTL 簇，9 个 QTL 簇位于与已知基因/QTL 相似的位置，另外 5 个是新的。三个重要的新 QTL（即 qTGW-1B.1、qTGW-1B.2 和 qTGW-1A.1）通过单倍型分析在自然小麦群体中进一步验证。这三个 QTL 的有利单倍型可能用于通过修饰形态性状进行标记辅助选择，以提高小麦产量。
