生物技术通报 ›› 2026, Vol. 42 ›› Issue (8): 97-105.doi: 10.13560/j.cnki.biotech.bull.1985.2025-1211

• 研究报告 • 上一篇    下一篇

基于全基因组关联分析挖掘水稻抗旱相关基因

宋子慧1,2,3, 薛丽3,4, 王森3,5, 孙建昌6, 韩冰3, 崔迪3, 韩龙植3, 赵正武1(), 马小定2,3()   

  1. 1.重庆师范大学生命科学学院 重庆市特色作物资源工程技术研究中心,重庆 401331
    2.中国农业科学院国家南繁研究院(三亚),三亚 572000
    3.中国农业科学院作物科学研究所,北京 100081
    4.长江大学农学院,荆州 434025
    5.四川农业大学西南作物基因资源发掘与 利用国家重点实验室,成都 611130
    6.宁夏农林科学院农作物研究所,银川 750002
  • 收稿日期:2025-11-10 出版日期:2026-08-26 发布日期:2026-08-17
  • 通讯作者: 赵正武zhaozhengwu513@sina.com
    马小定maxiaoding@caas.cn
  • 基金资助:
    三亚中国农业科学院国家南繁研究院南繁专项(YBXM2570)

Mining of Drought-resistance Related Genes in Rice Based on Genome-wide Association Study

SONG Zi-hui1,2,3, XUE Li3,4, WANG Sen3,5, SUN Jian-chang6, HAN Bing3, CUI Di3, HAN Long-zhi3, ZHAO Zheng-wu1(), MA Xiao-ding2,3()   

  1. 1.College of Life Sciences, Chongqing Normal University, Chongqing Engineering Research Center for Special Crop Resources, Chongqing 401331
    2.National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572000
    3.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081
    4.College of Agriculture, Yangtze University, Jingzhou 434025
    5.State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130
    6.Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002
  • Received:2025-11-10 Published:2026-08-26 Online:2026-08-17

摘要:

目的 分析与水稻叶枯萎度相关的数量性状位点(QTLs),为筛选水稻耐旱候选基因提供参考。 方法 以300份水稻种质资源为材料,在干旱胁迫下调查叶卷曲指数(leaf rolling index, LRI)和叶枯萎度(leaf wilt degree, LWD),利用全基因组关联分析(genome-wide association study, GWAS)定位耐旱相关数量性状位点。 结果 叶卷曲指数和叶枯萎度表型呈正态分布,通过全基因组关联分析定位到4个与叶枯萎度相关的数量性状位点(quantitative trait loci, QTLs),其中,qLWD4-1在2个调查时期均能被检测到。根据单倍型分析和基因功能注释信息,在qLWD4-1定位区间内筛选到4个耐旱候选基因(LOC_Os04g54360、LOC_Os04g54474、LOC_Os04g54560和LOC_Os04g54570)。 结论 在2个调查时期内均检测到一个稳定表达、与叶枯萎度相关的QTL(qLWD4-1),并在该区间内鉴定到4个耐旱候选基因。

关键词: 水稻, 抗旱性, 全基因组关联分析, 主成分分析, 数量性状位点

Abstract:

Objective Analysis of quantitative trait loci (QTLs) associated with rice leaf wilt degree, providing a reference for screening drought-tolerance candidate genes in rice. Method Using a panel of 300 rice germplasm resources, the leaf rolling index (LRI) and leaf wilt degree (LWD) were investigated under drought stress. Genome-wide association study (GWAS) was employed to map drought tolerance-related quantitative trait loci (QTLs). Result Phenotypic data for LRI and LWD followed a normal distribution. Four QTLs associated with LWD were identified via GWAS. Among these, qLWD4-1 was consistently detected across both investigation periods. Based on haplotype analysis and gene function annotation, four candidate genes for drought tolerance (LOC_Os04g54360, LOC_Os04g54474, LOC_Os04g54560, and LOC_Os04g54570) were screened within the qLWD4-1 locus region. Conclusion This study identified a stably expressed QTL (qLWD4-1) associated with leaf wilt degree across two investigation periods via GWAS, and four drought-resistant candidate genes were determined within this locus.

Key words: rice, drought resistance, genome-wide association study, principal component analysis, quantitative trait loci