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茶叶科学 ›› 2023, Vol. 43 ›› Issue (3): 310-324.doi: 10.13305/j.cnki.jts.2023.03.001

• 研究报告 • 上一篇    下一篇

基于GBS-SNP的武夷茶树(Camellia sinensis,Synonym:Thea bohea L.)遗传分析及标记开发

李力1,3, 罗盛财2, 王飞权1,3, 黎巷汝1,4, 冯花1,3, 石玉涛1,3, 叶江华1,3, 刘菲1, 赵佳林1, 李舒莹1, 张渤1,3,*   

  1. 1.武夷学院茶与食品学院,福建 南平 354300;
    2.武夷山市农业农村局,福建 南平 354300;
    3.武夷学院茶叶科学研究所,福建 南平 354300;
    4.福建农林大学园艺学院,福建 福州 350002
  • 收稿日期:2023-02-24 修回日期:2023-03-24 出版日期:2023-06-15 发布日期:2023-06-29
  • 通讯作者: *13859090163@163.com
  • 作者简介:李力,男,讲师,主要从事茶树种质资源与遗传利用方面研究,zizheng2006@163.com。
  • 基金资助:
    福建省自然科学基金项目(2021J011135)、中央引导地方科技发展专项(2021L3058)

Genetic Analysis and Marker Development for Wuyi Tea (Camellia sinensis, Synonym: Thea bohea L.) Based on GBS-SNP

LI Li1,3, LUO Shengcai2, WANG Feiquan1,3, LI Xiangru1,4, FENG Hua1,3, SHI Yutao1,3, YE Jianghua1,3, LIU Fei1, ZHAO Jialin1, LI Shuying1, ZHANG Bo1,3,*   

  1. 1. Wuyi University College of Tea and Food, Nanping 354300, China;
    2. Agricultural and Rural Bureau in Wuyishan, Nanping 354300, China;
    3. Tea Science Research Institute of Wuyi University, Nanping 354300, China;
    4. Fujian Agriculture and Forestry University, College of Horticulture, Fuzhou 350002, China
  • Received:2023-02-24 Revised:2023-03-24 Online:2023-06-15 Published:2023-06-29

摘要: 为深入了解武夷茶树(Camellia sinensis,异名:Thea bohea L.)的遗传多样性与背景关系,收集126个武夷茶树品种/品系与223个来自12个不同地区的优异茶树品种/品系,共349份茶树资源。采用基因分型测序(Genotyping by sequencing,GBS)技术筛选出973个高质量核心SNP进行茶树遗传多样性及背景关系分析。基于模型的遗传结构(Structure)、系统发育树(NJ tree)和主成分分析(PCA)结果表明,349个茶树可分为5个亚群,亚群聚类主要是基于茶树之间的亲缘关系,而不是树型或叶形等形态特征。基因流分析表明,从闽南地区到武夷山地区和武夷山地区到浙江地区存在基因渗入。遗传相似度分析显示,在349个茶树中有136对样本的遗传相似系数大于0.9,其中有26对涉及武夷茶树品种/品系。通过两两比对的辨识度分析,从973个SNP标记中筛选出21个可100%识别349个茶树品种/品系的SNP标记,其中18个SNP标记即可100%识别126个武夷茶树品种/品系,并建立遗传指纹图谱与开发鉴定引物。研究结果为今后武夷茶树种质资源的管理和育种提供有价值的信息。

关键词: 武夷茶, 基因分型测序, 遗传相似度, 基因流, 指纹图谱, 鉴定引物

Abstract: In order to understand the genetic diversity background of Wuyi tea (Camellia sinensis, Synonym: Thea bohea L.), 126 Wuyi tea cultivars/strains and 223 elite tea cultivars/strains (a total of 349 tea germplasm resources) from 12 different regions were collected. Genotyping by sequencing (GBS) technology was used to screen 973 high-quality core SNPs for genetic diversity and background analysis. Model-based structure (Structure), phylogenetic tree construction (NJ-tree) and principal component analysis (PCA) show that the 349 tea resources could be divided into 5 subgroups, and the clustering of subgroups was mainly based on the genetic relationship between tea resources, rather than morphological characteristics such as tree type or leaf shape. Gene flow analysis shows that Wuyi tea might have spread from southern Fujian Province to Wuyi Mountain in northern Fujian Province and from Wuyi Mountain to Zhejiang Province. Genetic similarity analysis shows that among 349 tea cultivars/strains, 136 pairs of cultivars/strains had genetic similarity greater than 0.9, among which 26 pairs involved Wuyi tea. Based on the results of gene flow and genetic similarity, the genetic relationship and background of some representative and controversial Wuyi tea were discussed and analyzed. Furthermore, through the discernibility analysis of pairwise comparison, 21 SNPs were selected from 973 SNP markers that can 100% identify 349 tea cultivars/strains, among which 18 SNPs could 100% identify 126 Wuyi tea cultivars/strains. Genetic fingerprints were established and identification primers were developed. These results provided valuable information for the management and breeding of Wuyi tea in the future.

Key words: Wuyi tea, GBS, genetic similarity, gene flow, genetic fingerprints, identification primer

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