核农学报2025,Vol.39Issue(5):907-915,9.DOI:10.11869/j.issn.1000-8551.2025.05.0907
甘薯茎线虫病复合抗性遗传分析与QTL定位
Genetic Analysis and QTL Mapping of Composite Resistance to Sweet Potato Stem Nematode Disease
摘要
Abstract
To efficiently mine the composite resistance genes against sweet potato stem nematode disease(SPSND)and create disease-resistant sweet potato germplasm,a segregating population consisting of 274 sweet potato F1 progenies was used as the material.The composite resistance of the F1 population was assessed over two consecutive growth cycles using field natural induction identification method.Quantitative trait loci(QTLs)significantly associated with composite resistance were detected through high-precision linkage analysis,and candidate genes were annotated and screened using the Gene Ontology(GO)and Clusters of Orthologous Groups of proteins(COG)databases.Normal distribution test showed that the composite resistance to SPSND did not conform to a normal distribution.There was substantial genetic variation and a hyperparentic inheritance pattern for the composite resistance to SPSND within the F1 segregating population.Notably,the resistance traits for highly resistant and highly susceptible were genetically stable,which could guide the breeding for composite resistance to SPSND.Through linkage analysis,nine QTLs closely associated with composite resistance were identified on linkage groups LG03,LG05,LG07,and LG08,explaining 6.1%to 7.3%of the phenotypic variation.Based on the QTL mapping results from the two growth cycles,one co-localized QTL and ten co-localized genes were identified.This study provides an important theoretical foundation and technical support for the mining of disease-resistant genes against SPSND and the development of composite resistance germplasm.关键词
甘薯/茎线虫病/复合抗性/QTL定位Key words
sweet potato/stem nematode disease/composite resistance/QTL mapping引用本文复制引用
闫会,马居奎,李臣,马猛,张艾岑,张成玲,张允刚,李强..甘薯茎线虫病复合抗性遗传分析与QTL定位[J].核农学报,2025,39(5):907-915,9.基金项目
国家自然科学基金(32301842),江苏省农业科技自主创新资金[CX(22)3150],徐州市重点研发计划(KC22087),国家甘薯产业技术体系(CARS-10) (32301842)