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Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits

文献类型： 外文期刊

作者： Lu, Litang 1 ; Chen, Hufang 1 ; Wang, Xiaojing 1 ; Zhao, Yichen 1 ; Yao, Xinzhuan 1 ; Xiong, Biao 1 ; Deng, Yanli 1 ; Zha 1 ;

作者机构： 1.Guizhou Univ, Coll Tea Sci, Guiyang 550025, Peoples R China

2.Guizhou Univ, Inst Agrobioengn, Minist Educ, Coll Life Sci, Guiyang 550025, Peoples R China

3.Guizhou Univ, Inst Agrobioengn, Minist Educ, Key Lab Plant Resources Conservat & Germplasm Inn, Guiyang 550025, Peoples R China

4.Guizhou Acad Agr Sci, Guiyang 550025, Peoples R China

期刊名称：HORTICULTURE RESEARCH （ 影响因子：6.793； 五年影响因子：6.589 ）

ISSN： 2662-6810

年卷期： 2021 年 8 卷 1 期

页码：

收录情况： SCI

摘要： The ancient tea plant, as a precious natural resource and source of tea plant genetic diversity, is of great value for studying the evolutionary mechanism, diversification, and domestication of plants. The overall genetic diversity among ancient tea plants and the genetic changes that occurred during natural selection remain poorly understood. Here, we report the genome resequencing of eight different groups consisting of 120 ancient tea plants: six groups from Guizhou Province and two groups from Yunnan Province. Based on the 8,082,370 identified high-quality SNPs, we constructed phylogenetic relationships, assessed population structure, and performed genome-wide association studies (GWAS). Our phylogenetic analysis showed that the 120 ancient tea plants were mainly clustered into three groups and five single branches, which is consistent with the results of principal component analysis (PCA). Ancient tea plants were further divided into seven subpopulations based on genetic structure analysis. Moreover, it was found that the variation in ancient tea plants was not reduced by pressure from the external natural environment or artificial breeding (nonsynonymous/synonymous = 1.05). By integrating GWAS, selection signals, and gene function prediction, four candidate genes were significantly associated with three leaf traits, and two candidate genes were significantly associated with plant type. These candidate genes can be used for further functional characterization and genetic improvement of tea plants.

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