Analysis of population structure and genetic diversity of Camellia tachangensis in Guizhou based on SNP markers

Author:

Huang Dejun,Niu Suzhen,Bai Dingchen,Zhao Zhifei,Li Caiyun,Deng Xiuling,Wang Yihan

Abstract

Abstract Background Camellia tachangensis F. C. Zhang is a five-compartment species in the ovary of tea group plants, which represents the original germline of early differentiation of some tea group plants. Methods and results In this study, we analyzed single-nucleotide polymorphisms (SNPs) at the genome level, constructed a phylogenetic tree, analyzed the genetic diversity, and further investigated the population structure of 100 C. tachangensis accessions using the genotyping-by-sequencing (GBS) method. A total of 91,959 high-quality SNPs were obtained. Population structure analysis showed that the 100 C. tachangensis accessions clustered into three groups: YQ-1 (Village Group), YQ-2 (Forest Group) and YQ-3 (Transition Group), which was further consistent with the results of phylogenetic analysis and principal component analyses (PCA). In addition, a comparative analysis of the genetic diversity among the three populations (Forest, Village, and Transition Groups) detected the highest genetic diversity in the Transition Group and the highest differentiation between Forest and Village Groups. Conclusions C. tachangensis plants growing in the forest had different genetic backgrounds from those growing in villages. This study provides a basis for the effective protection and utilization of C. tachangensis populations and lays a foundation for future C. tachangensis breeding.

Funder

Project of the National key R & D plan

Projectofthe National Science Foundation, in PR China·

the National Guidance Foundation for Local Science and Technology Development of China

Guiyang Science and Technology Plan Project

Project of the key filed project of Natural Science Foundation of Guizhou Provincial Department of education

Science and Technology Plan Project of Guizhou province, in PR China

Publisher

Springer Science and Business Media LLC

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