中国农业科学 ›› 2025, Vol. 58 ›› Issue (17): 3389-3399.doi: 10.3864/j.issn.0578-1752.2025.17.003

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

甘薯抗茎线虫病的QTL定位与分析

赵冬兰(), 马居奎, 肖世卓, 周志林, 赵凌霄, 王洁, 戴习彬, 孙厚俊, 曹清河   

  1. 江苏徐淮地区徐州农业科学研究所,江苏徐州 221131
  • 收稿日期:2025-03-10 接受日期:2025-04-22 出版日期:2025-09-01 发布日期:2025-09-02
  • 联系方式: 赵冬兰,E-mail:19991006@jaas.ac.cn
  • 基金资助:
    国家重点研发计划(2023YFD1202703); 财政部和农业农村部:国家现代农业产业技术体系(CARS-10-GW01); 江苏省重点研发计划(BE2021384); 徐州市重点研发计划(现代农业)(KC22087); 科技部和财政部:国家科技资源共享服务平台项目国家作物种质资源库(NCGRC-43)

QTL Analysis for Resistance to Stem Nematode Disease in Sweetpotato

ZHAO DongLan(), MA JuKui, XIAO ShiZhuo, ZHOU ZhiLin, ZHAO LingXiao, WANG Jie, DAI XiBin, SUN HouJun, CAO QingHe   

  1. Xuzhou Institute of Agricultural Sciences in Jiangsu Xuhuai District, Xuzhou 221131, Jiangsu
  • Received:2025-03-10 Accepted:2025-04-22 Published:2025-09-01 Online:2025-09-02

摘要:

【目的】分析甘薯(Ipomoea batatas (L.) Lam.)抗茎线虫病相关的QTL,为甘薯抗茎线虫病基因的精细定位、克隆及功能研究奠定基础,同时也为甘薯抗茎线虫病遗传机理研究和培育抗性品种提供支持。【方法】以抗茎线虫病品种豫薯10号和高感病品系新24为亲本构建包含212个子代的F1群体为试验材料,对其进行田间自然诱发甘薯茎线虫病抗性鉴定,基于前期构建的遗传图谱,采用复合区间作图法(composite interval mapping,CIM)对甘薯抗茎线虫病进行QTL定位与分析,并对QTL置信区间内的候选基因进行预测。同时,采用rMVP(a memory-efficient、visualization-enhanced、parallel-accelerated R package)软件对甘薯抗茎线虫病进行全基因组关联分析(genome-wide association studies,GWAS)。对抗病品种郑红22进行室内接种甘薯茎线虫,在接种线虫后的不同时期进行取样,采用qRT-PCR对筛选的5个候选基因(itf02g19880itf02g20080itf02g20100itf13g18480itf13g18550)进行定量表达分析。【结果】共定位到3个与甘薯抗茎线虫病相关的QTL——qSNR02-1qSNR02-2qSNR13-1,分布于第2和第13染色体。单个QTL表型变异解释率为9.6%—11.7%。经GWAS分析,在第6染色体关联到1个与甘薯抗茎线虫病显著相关的位点。根据基因组注释信息,对QTL置信区间内的候选基因进行预测,筛选出36个与抗茎线虫病相关的候选基因。候选基因功能注释表明,防御机制相关的ABC转运蛋白家族、多药及毒性外排转运蛋白(MATE)外排蛋白家族,以及翻译后修饰、蛋白质周转相关的E3泛素连接酶和谷胱甘肽S转移酶等参与抗病胁迫。qRT-PCR结果表明,5个候选基因的表达模式呈显著性差异,itf02g20100在接种3 d时表达量达到峰值,是对照的6.2倍;itf02g19880在接种0.5 d后表达量急剧上升至最高达到对照的43.2倍;itf13g18480itf13g18550的表达模式相似,均在接种7 d时达到峰值。表明不同候选基因在甘薯茎线虫侵染后的防御响应中可能发挥不同的调控作用。【结论】定位到3个与甘薯抗茎线虫病相关的QTL,筛选出36个相关候选基因。

关键词: 甘薯, F1群体, 抗茎线虫病, QTL定位, 候选基因

Abstract:

【Objective】The purpose of this study was to analyze the quantitative trait loci (QTLs) related to stem nematode resistance in sweetpotato (Ipomoea batatas (L.) Lam.), lay a foundation for the fine mapping, cloning, and functional analysis of stem nematode resistance genes in sweetpotato. It also aimed to provide support for the study of the genetic mechanisms of stem nematode resistance, as well as the breeding of resistant varieties in sweetpotato.【Method】An F1 population of 212 progenies derived from a cross between the highly resistant cultivar Yushu 10 and the susceptible line Xin 24 was used. In this study, field-based natural infection assays were conducted to evaluate stem nematode resistance. QTL mapping was performed using composite interval mapping (CIM), and candidate genes within QTL confidence intervals were predicted. Additionally, genome-wide association studies (GWAS) were carried out using the rMVP software (a memory-efficient, visualization-enhanced, and parallel-accelerated R package). For further validation, the resistant cultivar Zhenghong 22 was artificially inoculated with D. destructor, and samples were collected at different post-inoculation time points. The expression patterns of five candidate genes (itf02g19880, itf02g20080, itf02g20100, itf13g18480 and itf13g18550) were analyzed via qRT-PCR.【Result】Three QTLs (qSNR02-1, qSNR02-2, and qSNR13-1) were identified, distributed on chromosomes 2 and 13. The phenotypic contribution rate of the individual QTL related to stem nematode resistance ranged from 9.6% to 11.7%. GWAS revealed one significantly associated locus with stem nematode resistance on chromosome 6. Based on the genomic annotation information, 36 candidate genes related to stem nematode resistance were predicted within the QTL confidence intervals, including members of the ABC transporter family, multidrug and toxic compound extrusion (MATE) efflux proteins, E3 ubiquitin ligases, and glutathione S-transferases, which are involved in defense mechanisms, post-translational modification, and stress response. qRT-PCR results showed that the expression patterns of the five candidate genes were significantly different. The expression level of itf02g20100 reached a peak at 3 days after inoculation, which was 6.2 times that of the control; the expression level of itf02g19880 increased sharply and reached the highest level at 0.5 days after inoculation, which was 43.2 times that of the control; the expression patterns of itf13g18480 and itf13g18550 were similar, and both reached a peak at 7 days after inoculation. This indicates that different candidate genes may play different regulatory roles in the defense response after Ditylenchus destructor infection.【Conclusion】Three QTLs related to stem nematode resistance in sweetpotato were identified, and 36 related candidate genes were screened out, which can be used for the subsequent cloning and functional study of genes related to stem nematode resistance in sweetpotato.

Key words: sweetpotato, F1 population, resistance to stem nematode, QTL mapping, candidate gene