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云南南涧县古茶树资源遗传多样性的EST-SSR分析

刘娇 杨雄伟 何胜聪 程小毛 黄晓霞

热带亚热带植物学报2025,Vol.33Issue(3):261-268,8.
热带亚热带植物学报2025,Vol.33Issue(3):261-268,8.DOI:10.11926/jtsb.4882

云南南涧县古茶树资源遗传多样性的EST-SSR分析

EST-SSR Analysis of Genetic Diversity of Ancient Tea Tree Resources in Nanjian County,Yunnan Province

刘娇 1杨雄伟 1何胜聪 2程小毛 1黄晓霞1

作者信息

  • 1. 西南林业大学园林园艺学院,昆明 650224
  • 2. 南涧县凤岭茶叶有限公司,云南 大理 671000
  • 折叠

摘要

Abstract

To explore the genetic diversity of cultivated ancient tea tree(Camellia sinensis var.assamica)germplasm resources,the genetic diversity and structure of 64 germplasm resources in the ancient tea garden of Wuliangshan Town,Nanjian County were analyzed by using EST-SSR molecular markers.The results showed that a total of 223 alleles were detected with 20 pairs of primers,and the average effective number of alleles among populations was 3.48.The average observed allele(Na),average effective allele(Ne),average Shannon diversity index(I),and average of Nei's gene diversity index(H)were 6.25,2.983,1.251 and 0.646,respectively.POPGENE analysis showed that the mean genetic differentiation coefficient(Fst)was 0.063,indicating that there was moderate differentiation among populations with gene flow(Nm)of 3.710.AMOVA molecular variance analysis showed that 14%of genetic variation in C.sinensis var.assamica occurred among populations and 86%occurred within population,indicating that genetic variation in C.sinensis var.assamica mainly occurred within population and genetic exchange was abundant.The rich genetic diversity of the ancient tea tree population in the ancient tea garden of Nanjian County would provide a scientific basis for the protection and utilization of C.sinensis var.assamica germplasm resources and the selection of new varieties.

关键词

古茶园/古茶树/EST-SSR/遗传多样性

Key words

Ancient tea gardens/Ancient tea trees/EST-SSR/Genetic diversity

引用本文复制引用

刘娇,杨雄伟,何胜聪,程小毛,黄晓霞..云南南涧县古茶树资源遗传多样性的EST-SSR分析[J].热带亚热带植物学报,2025,33(3):261-268,8.

基金项目

云南省高层次人才"青年拔尖人才"项目(YNWR-QNBJ-2020-222) (YNWR-QNBJ-2020-222)

国家自然科学地区基金项目(31760197)资助 This work was supported by the Project for Young Top Talents of High-level Talents in Yunnan(Grant No.YNWR-QNBJ-2020-222),and the National Natural Science Regional Foundation of China(Grant No.31760197). (31760197)

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