中国油料作物学报2026，Vol.48Issue(2)：105-116,12.DOI:10.19802/j.issn.1007-9084.2025169
芝麻产量相关性状QTL定位及千粒重候选基因预测
QTL mapping of yield related traits and candidate gene prediction of 1000-seed weight in sesame
摘要
Abstract
The genetic basis of sesame yield-related traits was investigated using the recombinant inbred lines(RIL)population derived from the cross of Yuzhi 8 and Yanzhou Erhongpi.A total of 46 yield-related QTLs,with LOD scores of 3.0 to 22.05 and PVE ranging from 2.74％to 21.62％,were detected by the Inclusive composite inter-val mapping(ICIM)method.Eight QTL clusters containing two or more loci were identified.A 1000-seed weight re-lated QTL,qSW_LG09,could be detected in 3 environments and explained 13.79％to 21.62％of the phenotypic variation.Four candidate genes,SIN_1003729,SIN_1003713,SIN_1003683 and SIN_1004923,were identified within this QTL interval through gene enrichment and functional annotation.This study laid a theoretical foundation for genetic analysis and breeding applications of yield-related traits in sesame.关键词
芝麻/产量性状/相关分析/QTL定位/候选基因Key words
sesame/yield traits/correlation analysis/QTL mapping/candidate gene分类
农业科技引用本文复制引用
江晓林,杜振伟,王瀚,崔承齐,武轲,吕树立,景兵,刘艳阳,梅鸿献..芝麻产量相关性状QTL定位及千粒重候选基因预测[J].中国油料作物学报,2026,48(2):105-116,12.基金项目
国家现代农业产业技术体系(CARS-14) （CARS-14）
河南省自然科学基金(252300421667) （252300421667）
河南省重点研发与推广专项(232102110176,242102110277) （232102110176,242102110277）
河南省农业科学院科技创新团队(2024TD22) （2024TD22）
河南省农业科学院自主创新项目(2025ZC42) （2025ZC42）
河南省农业科学院基础性科研工作项目(2025JC19) （2025JC19）
