数字农科院2.0

Genetic Diversity and Population Structure of Tea (Camellia sinensis) Germplasm from the Xizang Plateau

文献类型： 外文期刊

作者： Mao, Juan;Huang, Danjuan;Wang, Kejian;Peng, Hong;Yao, Xinhua;Mao, Yingxin;Jiao, Long;Wang, Hongjuan;Long, Ying;Tan, Rongrong;Tsering, Orgyan;Wang, Wenhua;Tsering, Wangjee;Chen, Liang;Chen, Xun;Leng, Yang

作者机构：

关键词： tea plant;Xizang Plateau;phenotypic traits;simple sequence repeat markers;genetic diversity;population structure

期刊名称： HORTICULTURAE

ISSN：

年卷期： 2025 年 12 卷 1 期

页码：

收录情况： SCIE（2025版）

摘要： From the 1950s to the 1970s, approximately 80,000 kg of tea seeds were introduced from mainland China to the Xizang Autonomous Region for experimental cultivation. To assess the genetic diversity patterns of these tea accessions following more than half a century of acclimatization to plateau environments, we analyzed genetic variation, population structure, and genetic distinctiveness among fifty tea germplasm using nine phenotypic traits and 30 SSR markers. Phenotypic analysis revealed a moderately high level of genetic diversity, as indicated by the mean Shannon diversity index (H ' = 1.29). Principal component analysis (PCA) indicated that phenotypic variation was not geographically structured across the collection sites. The SSR markers exhibited a high degree of polymorphism, with an average polymorphic information content (PIC) of 0.610 and a genetic diversity index (I) of 1.437, indicating substantial genetic variation. Analysis of molecular variance (AMOVA) revealed that genetic differentiation occurred predominantly within populations, accounting for 91.49% of the total genetic variation. Similarly, 97.86% of the variation was attributed to differences within elevational gradients. Discriminant analysis of principal components (DAPC) and Bayesian population structure modeling (STRUCTURE) both identified two genetic clusters among the studied genotypes. Our results have practical implications for tea breeding programs by providing guidance for parental selection, informing germplasm collection management, and supporting the conservation of genetic resources.

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