基于全基因组SNP的贵州久安古茶树遗传关系分析
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贵阳市-贵州省农科院院地合作项目(院地农科合字[2014] 7号);贵州省-农科院省院联合基金项目(黔科合LH字[2015]7075号);贵州省科技支撑计划项目(黔科合支撑[2017]2557号)


Genetic Diversity of Old Tea Plant Resources in Jiuan City of Guizhou Province, Using Genome-Wide SNPs
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the Science and Technology Cooperation Project of Guizhou Province (LH20157075);the Guiyang city-Guizhou Academy of Agricultural Sciences Cooperation Project (20147);the Science and Technology Support Project of Guizhou Province (20172557)

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    摘要:

    贵州久安分布着大量的古茶树资源。为了明晰这些茶树资源间的遗传关系,本研究以分布于久安5个不同区域的100份古茶树为材料,首先利用GBS (genotyping by sequencing )技术对它们的全基因组SNPs进行了鉴定,然后基于鉴定到的SNPs进行了系统进化树构建、主成分分析以及遗传结构分析。100份古茶树材料共获得548597个高质量SNP,并对这些SNPs进行了变异类型注释。系统进化树、主成分分析以及遗传结构分析的结果高度一致,结果表明同一区域内的材料间亲缘关系较近;100份资源可以分为3个类群;古茶园(G)的材料与其他4个区域的材料遗传背景差异较大,其余4个区域的资源可能有相同的亲本来源。

    Abstract:

    A large number of old tea plant resource is widely distributed in Jiuan city of Guizhou province, China. The genetic relationship of these tea plant resources still remain unclear. In this study, one-hundred old tea plant samples, which were collected from five different regions of Jiuan city, were subjected for diversity analysis by genotyping by sequencing (GBS). A total of 548,597 high-quality SNPs were identified in this collection, and the variation of these SNPs were annotated. By using these genome-wide SNPs, the phylogenetic tree, the principal component analysis (PCA) and population structure were conducted. A similar pattern on genetic relationship was revealed by three approaches. These samples were assigned into three groups and the samples collected in the same/similar area were clustered in each group. Thus, our results suggested a genetic difference of samples in the Guchayuan (G), relative to the samples from other four regions, which likely shared the same and unique parental origin.

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郭燕,乔大河,杨春,等.基于全基因组SNP的贵州久安古茶树遗传关系分析[J].植物遗传资源学报,2019,20(1):26-36.

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  • 收稿日期:2018-05-29
  • 最后修改日期:2018-07-28
  • 录用日期:2018-06-19
  • 在线发布日期: 2019-01-14
  • 出版日期: 2019-01-16
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