《植物生理学报》 2015, 51(9): 1400-1404

基于全基因组重测序的SNP分析在作物基因定位中的研究进展

袁金红^*, 李俊华^*, 黄小城, 李莎, 高武军^**

河南师范大学生命科学学院, 河南新乡453007

通信作者：袁金红；E-mail: gaowujun1@163.com；Tel: 0373-3323329

摘　要：

在作物重要性状数量性状位点(quantitative trait locus, QTL)定位和突变体研究中, 利用传统的遗传标记对目标基因或QTL进行定位, 往往工作量大、周期长, 难以精确定位。近年来, 全基因组重测序(whole genome resequencing, WGR)为从基因组水平开发单核苷酸多态性(single nucleotide polymorphysim, SNP)标记提供了新的技术条件。利用基于WGR的SNP识别、验证和基因型分析与传统分子标记相结合的方法, 能很快挖掘到候选基因和获得导致表型的SNP位点。目前, 通过基于WGR的群体驯化和全基因组关联分析以及对杂交后代进行全基因组SNP基因型分析, 已经成功定位了若干作物的QTL及突变基因。本文就利用基于WGR的SNP分析方法定位作物重要性状QTL和突变基因的研究概况进行综述, 并就该方法在基因/QTL定位上的应用前景进行了探讨和分析。

关键词：全基因组重测序; 单核苷酸多态性; 基因定位; 数量性状位点

收稿：2015-06-19   修定：2015-08-10

资助：人力资源与社会保障部留学人员科技活动项目择优资助、教育部留学回国人员科研启动基金、河南联合基金(u1504319)和河南师范大学博士启动课题(qd14171和qd12127)。 * 并列第一作者。

Advance of SNP Analysis Based on Whole Genome Resequencing in Crop Gene Mapping

Yuan Jin-Hong^*, Li Jun-Hua^*, Huang Xiao-Cheng, Li Sha, Gao Wu-Jun^**

College of Life Sciences, Henan Normal University, Xinxiang, Henan 453007, China

Corresponding author: Yuan Jin-Hong; E-mail: gaowujun1@163.com; Tel: 0373-3323329

Abstract:

In qualitative trait locus (QTL) mapping of important traits and mutant studies, target genes or fine mapped QTLs are sometimes hard to be obtained with traditional approaches, which are laborious and time-consuming. In the past few years, the discovery of single nucleotide polymorphism (SNP) markers at the genome level is enabled by new techniques based on whole genome resequencing (WGR). Combined with SNP discovery, validation and genotyping, the WGR-based QTL mapping approach has the potential to rapidly discover candidate genes and causative SNPs. By WGR-based domestication study and genome-wide association analysis of a collection of individuals, and SNP genotyping in hybrid progeny, many QTLs or mutation sites were successfully mapped in crops. This article reviewed the current advances in QTLs mapping or causative mutations detection of important traits in crops based on WGR and SNP analysis, the prospect of the approach in gene/QTL mapping was discussed and analyzed.

Key words: whole-genome sequencing; SNP; gene mapping; QTL