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玉米南方锈病抗性相关遗传区段定位与候选基因预测

Southern Corn Rust Related Genetic Segments Mapping and Candidate Gene Prediction in Corn

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【作者】 聂蕾何玥郭爽王栋涂亮刘鹏飞李娟王安贵蒋喻林祝云芳陈泽辉吴迅郭向阳

【Author】 NIE Lei;HE Yue;GUO Shuang;WANG Dong;TU Liang;LIU Peng-fei;LI Juan;WANG An-gui;JIANG Yu-lin;ZHU Yun-fang;CHEN Ze-hui;WU Xun;GUO Xiang-yang;Agricultural College, Guizhou University;Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences;Ministry of Agriculture and Rural Affairs Key Laboratory of Crop Genetic Resources and Germplasm Innovation in Karst Region;Institute of Crop Germplasm Resources, Guizhou Academy of Agricultural Sciences;

【通讯作者】 吴迅;郭向阳;

【机构】 贵州大学农学院贵州省农业科学院旱粮研究所农业农村部喀斯特山区作物基因资源与种质创新重点实验室贵州省农业科学院农作物品种资源研究所

【摘要】 以抗、感自交系QB7866和QB5725为亲本构建的132份F2:3家系和包含142份温热玉米自交系组成的关联群体为材料,利用简化基因组测序技术和包含6万个SNP标记的MaizeSNP50芯片,分别对F2:3家系和关联群体进行基因型鉴定,对这两套群体的南方锈病抗性进行评价。结合连锁分析和全基因组关联分析,规模化鉴定控制玉米南方锈病抗性的遗传区段,并对相关候选基因进行预测。结果表明,共鉴定到13个玉米南方锈病抗性相关QTL,其中,贡献率大于10%的QTL两个。GWAS分析共检测到100个玉米南方锈病抗性相关QTNs。一致性分析发现3个一致性遗传区段。候选基因预测发现,这些区段内存在4个候选基因,可作为下一步精细定位的靶标。

【Abstract】 In this paper, 132 F2:3 offspring derived from cross of susceptible corn inbred line QB7866 and resistant corn inbred line QB5725 and one associated population including 142 inbred lines were selected to be material,which were genotyped using genome by sequencing(GBS) and MaizeSNP50 chip with 60 000 SNPs, the resistance of these two populations to Southern corn rust was evaluated. By combining linkage analysis and genome-wide association analysis, lots of Southern corn rust resistance segments and related candidate genes were identified. The results showed that 13 QTL of the Southern corn rust were identified. Among these, 2 major QTL showed more than 10%contribution to the Southern corn rust. A total of 100 significant QTNs were detected by using GWAS method. Three concordant genetic segments were found by consistent analysis. Candidate gene prediction indicated the presence of 4 candidate genes within these segments, which can be target for further fine mapping.

【基金】 贵州省科技支撑计划项目(黔科合支撑[2022]重点029);贵州省育种科研基础平台创新能力建设项目(黔科合服企[2022]014);贵州省科技计划项目(黔科合基础-ZK[2023]一般173);贵州省自然科学基金项目(黔科合基础[2022]一般236);黔农科院国基后补助项目[2022]02号和[2022]09号;贵州喀斯特山区重要作物生物育种平台建设项目(黔科合中引地[2023]033);科研机构创新能力建设项目([2022]007)
  • 【文献出处】 玉米科学 ,Journal of Maize Sciences , 编辑部邮箱 ,2025年02期
  • 【分类号】S435.131.4
  • 【下载频次】44
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