2025年4月13日 15:13 星期日
首页 > 过刊浏览>2025年第26卷第4期 >808-816. DOI:10.13430/j.cnki.jpgr.20240907001
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花生网斑病抗性基因的遗传分析及QTL定位
作者:
作者单位:

1.山西农业大学植物保护学院，太原 030031;2.山西农业大学经济作物研究所，太原 030031;3.山西农业大学农学院，太谷 030801

作者简介:

研究方向为植物病理学，E-mail：1460615989@qq.com

通讯作者:

张 鑫， 研究方向为花生遗传育种， E-mail： 15177178@qq.com

基金项目:

山西省基础研究计划项目（202203021221178）；山西省科技重大专项（202201140601025）；国家花生产业技术体系建设专项（CARS-13）；山西农业大学生物育种工程项目（YZGC049）；山西省现代农业产业技术体系建设专项资金（2024CYJSTX05）


Genetic Analysis and QTL Mapping of Resistance Genes for Peanut Web Blotch
Author:
Affiliation:

1.College of Plant Protection， Shanxi Agricultural University， Taiyuan 030031;2.Institute of Industrial Crops， Shanxi Agricultural University， Taiyuan 030031;3.College of Agronomy， Shanxi Agricultural University， Taigu 030801

Fund Project:

Foundation projects： The Fundamental Research Program of Shanxi Province （202203021221178）； The Science and Technology Major Project of Shanxi Province （202201140601025）； The National Peanut Industry Technology System Construction（CARS-13）； Biological Breeding Projects of Shanxi Agricultural University （YZGC049）； The Earnarked Fund for Modern Agro-industry Technology Research System of Shanxi Province（2024CYJSTX05）

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    摘要:

    花生网斑病是发生在花生叶部的一种真菌性病害，严重时会影响花生的产量和品质。对花生网斑病抗性基因的遗传分析及QTL定位，有利于指导挖掘抗病种质资源，对指导花生育种具有重要意义。本研究以“花育44”和“DF12”构建的807份高世代RIL群体（F8）为研究材料，对网斑病抗性进行遗传模型分析和QTL定位。分析表明，花生网斑病抗性主要受MX1-A-AI模型控制，该模型结合了一对加性主基因及加性与上位性交互的多基因。在3个不同环境条件下，主基因的遗传率依次为63.44%、60.70%和74.64%；共检测到5个与网斑病抗性相关的QTL，分别为qDIA02.1、qDIA02.2、qDIB07、qDIB08、qDIB09，分布在4个连锁群上，可解释4.68%~15.91%的表型变异，其中qDIA02.1、qDIB07、qDIB09在3个环境下被重复检测到，分别解释了5.15%~9.43%、7.62%~15.91%、5.24%~6.16%的表型变异，且qDIB07可能为主效QTL，说明花生网斑病抗性以主基因效应调控为主。本研究成果既为花生网斑病抗性基因的准确定位提供了依据，同时也为花生抗病遗传改良提供了一定的理论基础。

    Abstract:

    Peanut web blotch， a fungal disease affecting the leaves of peanut plants， can substantially impact both yield and quality. Genetic analysis and QTL mapping of resistance genes against this disease are crucial for identifying resistant germplasm resources and advancing peanut breeding. This study employed a recombinant inbred line（RIL） population consisting of 807 individuals derived from the cross between 'Huayu 44' and 'DF12' to dissect the genetic basis through QTL mapping for resistance. The analysis showed that the resistance mechanism followed the MX1-A-AI inheritance model， characterized by a combination of one major additive gene and multiple minor-effect genes and epistatic interactions. The major gene exhibited substantial heritability across three environmental conditions （63.44%， 60.70% and 74.64%， respectively）. Through QTL mapping， we identified five QTLs， qDIA02.1， qDIA02.2， qDIB07， qDIB08， and qDIB09， distributed across four linkage groups， explaining 4.68%-15.91% of the phenotypic variation. Three QTLs， qDIA02.1， qDIB07， and qDIB09， were repeatedly detected across three environments， explaining 5.15%-9.43%， 7.62%-15.91%， and 5.24%-6.16% of phenotypic variation， respectively. qDIB07 was identified as a potential major QTL， indicating that peanut web blotch resistance is predominantly regulated by major genes. These findings provide a basis for future precisely localizing resistance genes to peanut web blotch and developing disease-resistant peanut varieties.

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刘齐妹,张晓宇,张晓吉,等.花生网斑病抗性基因的遗传分析及QTL定位[J].植物遗传资源学报,2025,26(4):808-816.

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