Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France; LMI RICE 2, AGI, Km2 Pham Van Dong, Tu Liem, Hanoi, Vietnam.
Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France.
Trends Plant Sci. 2019 Mar;24(3):263-274. doi: 10.1016/j.tplants.2018.11.008. Epub 2018 Dec 17.
The identification and isolation of genes underlying quantitative trait loci (QTLs) associated with agronomic traits in crops have been recently accelerated thanks to next-generation sequencing (NGS)-based technologies combined with plant genetics. With NGS, various revisited genetic approaches, which benefited from higher marker density, have been elaborated. These approaches improved resolution in QTL position and assisted in determining functional causative variations in genes. Examples of QTLs/genes associated with agronomic traits in crops and identified using different strategies based on whole-genome sequencing (WGS)/whole-genome resequencing (WGR) or RNA-seq are presented and discussed in this review. More specifically, we summarize and illustrate how NGS boosted bulk-segregant analysis (BSA), expression profiling, and the construction of polymorphism databases to facilitate the detection of QTLs and causative genes.
得益于基于下一代测序（NGS）的技术与植物遗传学的结合，与作物农艺性状相关的数量性状基因座（QTL）的基因的鉴定和分离最近得到了加速。借助 NGS，各种经过重新审视的遗传方法已经得到了发展，这些方法得益于更高的标记密度。这些方法提高了 QTL 位置的分辨率，并有助于确定基因中功能上的因果变异。本文综述了使用基于全基因组测序（WGS）/全基因组重测序（WGR）或 RNA-seq 的不同策略鉴定的与作物农艺性状相关的 QTL/基因的例子，并进行了讨论。更具体地说，我们总结并说明了 NGS 如何促进了分离群体分析（BSA）、表达谱分析以及多态性数据库的构建，从而有助于检测 QTL 和因果基因。
