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作 者:周小凤[1] 曹阳[2] 何良荣 董承光[1] 王新[1] 李娟 林忠旭[4] 余渝[1] ZHOU Xiao-feng;CAO Yang;HE Liang-rong(Cotton Institute,Xinjiang Academy of Agricultural and Reclamation Science/Northwest Inland Region Key Laboratory of Cotton Biology and Genetic Breeding,Ministry of Agriculture and Rural Affairs,Shihezi,Xinjiang 832000;Institute of Agricultural Science,Fifth Division of Xinjiang Production and Construction Corps,Shuanghe,Xinjiang 833408;Tarim University,Ala'er,Xinjiang 843300)
机构地区:[1]新疆农垦科学院棉花研究所/农业农村部西北内陆棉区棉花生物学与遗传育种重点实验室,新疆石河子832000 [2]新疆生产建设兵团第五师农业科学研究所,新疆双河833408 [3]塔里木大学,新疆阿拉尔843300 [4]华中农业大学作物遗传改良国家重点实验室,湖北武汉430070
出 处:《安徽农业科学》2025年第4期1-4,39,共5页Journal of Anhui Agricultural Sciences
基 金:兵团重点领域科技攻关项目(2024AB001);八师重点研发计划项目(2021NY01)。
摘 要:近年来,棉花黄萎病在新疆蔓延,已成为制约当地棉花生产的重要因素之一。运用高通量SNP芯片对344份具有代表性的棉花种质资源进行基因型分析,考察群体在4个环境(2年2个试验点)中的黄萎病发病率表型,并利用混合线性模型(mixed linear model,MLM)进行全基因组关联分析。结果表明,棉花黄萎病发病率与产量、纤维品质存在负相关性。该群体在4个环境中黄萎病发病率的广义遗传力为40.10%。群体结构分析表明,该群体可分为2个亚群。MLM模型检测到18个显著位点,分布在A03、A05、A10、A12、D02、D11和D13。研究结果有助于解析棉花黄萎病抗性的遗传基础,为研究棉花黄萎病的致病机制以及指导黄萎病抗性的遗传改良提供理论参考。In recent years,cotton verticillium wilt disease spread in Xinjiang,has become one of the important factors affecting local cotton production.In this study,a collection of 344 representative cotton accessions were genotyped by the high-throughput SNP array for investigating the phenotype of verticillium wilt at two locations and for two years.The genome-wide association study(GWAS) of disease percentage was performed via the mixed linear model(MLM).The results showed that there was a negative correlation between verticillium wilt incidence and yield and fiber quality.The broad sense heritability of verticillium wilt morbidity in 4 environments was 40.10%.Population structure analysis showed that the group can be divided into 2 subgroups.The MLM model detected 18 significant loci that were distributed on A03,A05,A10,A12,D02,D11,and D13.The present results help to analyze the genetic basis of cotton verticillium wilt resistance and lay the foundation for studying the pathogenic mechanism and guiding the genetic improvement of cotton verticillium wilt resistance.
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