植物学报

• • 上一篇    下一篇

水稻白叶枯病抗性QTL的挖掘与候选基因分析

陈钧1†, 徐江民1†, 周逸楠1,江亚楠1, 胡程翔1, 金芊芸1, 赵蓓蓓1, 朱哲楠1, 徐雨青1, 张璐怡1, 刘笑妍1, 刘隽1, 李三峰2, 王跃星2*, 饶玉春1*   

  1. 1浙江师范大学生命科学学院, 金华 321004; 2中国水稻研究所水稻生物育种全国重点实验室, 杭州 310006
  • 收稿日期:2025-04-08 修回日期:2025-05-12 出版日期:2025-06-10 发布日期:2025-06-10
  • 通讯作者: 王跃星,饶玉春
  • 基金资助:
    国家重点研发计划(No.2021YFA1300703)、2025年国家级大学生创新创业训练计划和2025年浙江省大学生科技创新活动计划暨新苗人才计划

Mapping of QTLs Associated with Rice Resistance to Bacterial Blight and Candidate Gene Analysis

Jun Chen1†, Jiangmin Xu1†, Yinan Zhou1, Yanan Jiang1, Chengxiang Hu1, Qianyun Jin1, Beibei Zhao1, Zhenan Zhu1, Yuqing Xu1, Luyi Zhang1, Xiaoyan Liu1, Jun Liu1, Sanfeng Li2, Yuexing Wang2*, Yuchun Rao1*   

  1. 1College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China 2State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
  • Received:2025-04-08 Revised:2025-05-12 Online:2025-06-10 Published:2025-06-10
  • Contact: Yuexing Wang, Yuchun Rao

摘要: 水稻白叶枯病是危害全球水稻生产的三大主要病害之一, 严重影响水稻的产量和品质。抗性基因的挖掘与利用是防治白叶枯病最有效途径之一。为挖掘水稻白叶枯病抗性相关的数量性状位点(quantitative trait locus, QTL), 该研究以籼稻华占、粳稻热研2号及其构建的120个重组自交系(recombinant inbred lines, RILs)群体为实验材料, 在水稻分蘖盛期接种4种不同的白叶枯病致病小种并评价抗性表型。基于前期构建的高密度遗传图谱进行QTL定位, 共检测到19个QTLs, 其中最大LOD (limit of detection)值为5.49。对检测到的QTL区间内候选基因进行筛选, 并利用qRT-PCR进行基因表达量分析, 发现LOC_Os02g13270LOC_Os02g13410LOC_Os02g13420LOC_Os02g13430LOC_Os01g12130在双亲间的表达量差异显著, 且在接种白叶枯病菌后受诱导表达, 推测其为调控白叶枯病抗性的重点候选基因。研究结果为白叶枯病抗性相关基因的精细定位和克隆奠定了基础, 对培育广谱抗病性水稻品种有重要意义。

关键词: 水稻, 白叶枯病, QTL定位, 候选基因

Abstract: INTRODUCTION: Bacterial blight is one of the three major diseases that threaten global rice production, seriously affecting the yield and quality of rice. The identification and utilization of resistance genes is one of the most effective ways to control bacterial blight.  RATIONALE: To identify quantitative trait locus (QTL) related to bacterial blight resistance in rice, this study used the indica rice HZ, the japonica rice Nekken2 and their 120 recombinant inbred lines (RILs) as experimental materials. Four different pathotypes of bacterial blight were inoculated at the tillering stage of rice and the resistance phenotypes were evaluated.  RESULTS: Based on the high-density genetic map constructed previously, 19 QTLs were detected, with the maximum limit of detection (LOD) value being 5.49. Candidate genes within the detected QTL intervals were screened and their expression levels were analyzed by qRT-PCR. LOC_Os02g13410 and LOC_Os04g01320, which are related to the regulatory pathway of STK receptor protein, showed significant upregulated expression after inoculation treatment. Meanwhile, the expression levels of the MYB transcription factor family gene LOC_Os05g10690 and the gene LOC_Os01g12320 related to the lipase regulatory pathway of GDSL-like lipase/acylhydrolase showed an extremely significant increase after inoculation treatment. The expression levels of the candidate genes LOC_Os02g13270, LOC_Os02g13410, LOC_Os02g13420, LOC_Os02g13430 and LOC_Os01g12130 were significantly different between the two parents and were induced after inoculation with the bacterial blight pathogen.   CONCLUSION: It was found that these candidate genes are presumed to be key candidate genes for regulating resistance to bacterial blight. The above results lay a foundation for the fine mapping and cloning of bacterial blight resistance-related genes and are of great significance for breeding rice varieties with broad-spectrum resistance to diseases.

Key words: Oryza sativa, bacterial blight, QTL mapping, candidate genes