植物学报 >

2025 , Vol. 60 >Issue 5: 831 - 845

DOI: https://doi.org/10.11983/CBB25059

研究论文

水稻白叶枯病抗性QTL的挖掘与候选基因分析

  • 陈钧 ,
  • 徐江民 ,
  • 周逸楠 ,
  • 江亚楠 ,
  • 胡程翔 ,
  • 金芊芸 ,
  • 赵蓓蓓 ,
  • 朱哲楠 ,
  • 徐雨青 ,
  • 张璐怡 ,
  • 刘笑妍 ,
  • 刘隽 ,
  • 李三峰 ,
  • 王跃星 ,
  • 饶玉春
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  • 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
†共同第一作者
*饶玉春, 博士/博士后, 教授, 博士生导师, “双龙学者”特聘教授, 浙江省“高校领军人才培养计划”高层次拔尖人才(2022年), 金华市青年拔尖人才(2023年), 浙江省发明协会理事、植物遗传专业委员会副主任, 中国作物学会会员, 浙江省遗传学会会员。主要从事水稻等禾谷类作物的分子遗传学研究。以第一作者或通讯作者身份在Science Bulletin和New Phytologist等权威期刊发表论文80余篇, 以合作者身份在Nature Plants、Proceedings of the National Academy of Sciences of the United States of America等杂志发表论文30余篇。主持转基因国家重大专项子课题、国家自然科学基金和浙江省自然科学基金等科研项目。授权国家发明专利25项(第一完成人)。ryc@zjnu.cn
王跃星, 博士, 研究员, 博士生导师, 中国水稻研究所超级稻育种创新团队首席科学家, 国家水稻改良中心副主任。入选国家高层次人才青年拔尖人才、浙江省高层次人才青年拔尖人才和“151”第二层次人才培养工程以及中国农业科学院“农科英才”杰出青年英才。主要从事水稻遗传育种工作, 已完成一系列水稻重要农艺性状基因的克隆和育种利用。以第一作者在Nature Genetics和Molecular Plant等国际著名期刊发表论文多篇。主持国家自然科学基金、浙江省自然科学基金杰出青年基金等项目。以第一或主要完成人选育水稻优质不育系和杂交水稻新品种7个, 获植物新品种权5项, 授权国家发明专利8项。荣获中国农学会青年科技奖。E-mail: wangyuexing@caas.cn

收稿日期: 2025-04-08

  录用日期: 2025-06-03

  网络出版日期: 2025-06-10

基金资助

国家重点研发计划(2021YFA1300703);2025年国家级大学生创新创业训练计划支持项目(202510345055);2025年浙江省大学生科技创新活动计划暨新苗人才计划(2025R404A036)

收起

Identification of Candidate Genes for Rice Resistance to Bacterial Blight via QTL Mapping and Gene Expression Analysis

  • Chen Jun ,
  • Xu Jiangmin ,
  • Zhou Yinan ,
  • Jiang Yanan ,
  • Hu Chengxiang ,
  • Jin Qianyun ,
  • Zhao Beibei ,
  • Zhu Zhenan ,
  • Xu Yuqing ,
  • Zhang Luyi ,
  • Liu Xiaoyan ,
  • Liu Jun ,
  • Li Sanfeng ,
  • Wang Yuexing ,
  • Rao Yuchun
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  • 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
†These authors contributed equally to this paper

Received date: 2025-04-08

  Accepted date: 2025-06-03

  Online published: 2025-06-10

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摘要

水稻(Oryza sativa)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的途径之一。为挖掘水稻白叶枯病抗性相关的数量性状位点(QTL), 以籼稻华占、粳稻热研2号及其构建的120个重组自交系(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进行基因表达水平分析, 发现LOC_Os02g13270、LOC_Os02g13410、LOC_Os02g13420、LOC_Os02g13430和LOC_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, 对于培育广谱抗病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

本文引用格式

陈钧 , 徐江民 , 周逸楠 , 江亚楠 , 胡程翔 , 金芊芸 , 赵蓓蓓 , 朱哲楠 , 徐雨青 , 张璐怡 , 刘笑妍 , 刘隽 , 李三峰 , 王跃星 , 饶玉春 . 水稻白叶枯病抗性QTL的挖掘与候选基因分析[J]. 植物学报, 2025 , 60(5) : 831 -845 . DOI: 10.11983/CBB25059

Abstract

INTRODUCTION: Bacterial blight is one of the three major diseases that threaten global rice production, seriously damaging the yield and quality of rice. The utilization of resistance genes is one of the most effective ways to control bacterial blight.

RATIONALE: To cultivate rice varieties with both resistance to bacterial blight and high-yield characteristics, stable and efficient resistance genes need to be identified and used. 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 races of bacterial blight pathogens were inoculated at the tillering stage of rice and the resistance phenotypes were evaluated.

RESULTS: Based on the high-density genetic map constructed previously, we identified 19 QTLs for resistance to rice bacterial blight, with the maximum limit of detection (LOD) value being 5.49. Candidate genes within the detected QTL intervals were screened based on their expression levels analyzed by qRT-PCR. LOC_Os04g01310 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 GDSL-like lipase/acylhydrolase showed an extremely significant increase after inoculation treatment. The expression levels of the candidate genes LOC_Os02g13270 (Mpv17/PMP22 family domain containing protein), LOC_Os02g13410 (leucine rich repeat family protein), LOC_ Os02g13420 (leucine rich repeat receptor protein kinase EXS precursor), LOC_Os02g13430 (receptor-like protein kinase 5 precursor) and LOC_Os01g12130 (enodulin MtN3 family protein) were significantly different between the two parents and were induced after inoculation with the bacterial blight pathogen.

CONCLUSION: By QTL mapping and gene expression analysis, we identified several candidate genes related to rice bacterial blight resistance. These results provide clues for further fine mapping and cloning of new bacterial blight resistance genes for future breeding of rice varieties with strong resistance to bacterial blight.

QTL mapping of resistance to bacterial blight in recombinant inbred lines of rice. QTLs can be used to reveal the structure of complex quantitative traits and identify candidate genes. Based on a high-density genetic map, a total of 19 QTLs were co-located and multiple candidate genes were screened out. To further locate and clone the related genes and lay a theoretical foundation for breeding new high-yield and disease-resistant rice varieties.

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

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