首页|期刊导航|扬州大学学报(农业与生命科学版)|基于GBS技术的贵州铜仁地方茶树资源遗传关系研究

基于GBS技术的贵州铜仁地方茶树资源遗传关系研究OA北大核心

Population genetic relationships of local tea germplasms resources in Tongren city of Guizhou province based on genotyping by sequencing

中文摘要英文摘要

以贵州铜仁5个群体60份地方茶树资源为材料,利用简化基因组测序(genotyping by sequencing,GBS)鉴定全基因组单核苷酸多态性(single nucleotide polymorphism,SNP)位点,通过系统进化树分析、主成分分析和遗传结构分析评价地方茶树资源遗传关系.结果表明:依据次要等位基因频率>0.05及数据完整度>0.80的筛选过滤条件,共得到6 749 675个SNP位点,基因型完整度为92.75%;群体系统进化树分析、主成分分析和群体遗传结构分析结果均显示同一区域内地方茶树材料亲缘关系较近,且均将贵州铜仁地方茶树资源划分为两大类群,德江、沿河县塘坝乡和沿河县后坪乡样本为一类群,印江和石阡样本为一类群,表明其可能来源于不同祖先.这一研究可为深入探究地方茶树起源和演变过程、种质创新、品种选育和合理保护地方茶树基因资源提供可靠依据.

To provide reliable evidence for origin and evolution,germplasm innovation,selective breeding,reasonable protection and utilization of genetic resources of local tea germplasm,genotyping by sequencing(GBS)technology was applied to identify single nucleotide polymorphism(SNP)loci for 60 local tea germplasms resources from five populations in Tongren city of Guizhou province,and subsequently,phylogenetic trees,principal component analysis(PCA),and population structure analysis were performed to evaluate the genetic relationships of these local tea germplasms resources based on the obtained SNP loci.The results showed that:After screening with parameters of minor allele frequency>0.05 and data integrity>0.80,a total of 6 749 675 SNP loci were retained,and the average of integrity-ratio was 92.75%.According to the phylogenetic tree,principal component analysis and population structure analysis,samples from the same region exhibited closer genetic relationships,and 60 local tea germplasms resources were clustered into two clusters:samples of Dejiang and Yanhe were clustered into a cluster,samples of Yinjiang and Shiqian were clustered into a cluster,suggesting distinct ancestral origins.

李龙;刘敏;谭廷鸿;罗静;戴婧婧

铜仁学院大数据学院,贵州铜仁 554300铜仁学院农林工程与规划学院,贵州铜仁 554300铜仁学院农林工程与规划学院,贵州铜仁 554300铜仁学院农林工程与规划学院,贵州铜仁 554300铜仁学院农林工程与规划学院,贵州铜仁 554300

农业科学

茶树资源简化基因组测序SNP遗传结构

tea germplasms resourcesgenotyping by sequencingSNPgenetic structure

《扬州大学学报(农业与生命科学版)》 2025 (5)

23-30,8

贵州省科技厅农业攻关项目[NY(2015)3011-1]贵州省科技支撑计划项目(20201Y065)贵州省科技计划项目(黔科合基础-[2024]青年008)

10.16872/j.cnki.1671-4652.2025.05.003

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