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Research Paper

Genetic Diversity and Population Structure of Wild and Cultivated Camellia taliensis Populations

  • MAO Juan ,
  • JIANG Hongjian ,
  • YANG Rubing ,
  • LI Chongxing ,
  • MA Chengying ,
  • CHEN Liang ,
  • MA Jianqiang
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  • 1. Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China;
    2. Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850000, China;
    3. Lincang Municipal Bureau of Agriculture and Rural Affairs, Lincang 677000, China;
    4. Linxiang District Bureau of Agriculture and Rural Affairs, Lincang 677000, China;
    5. Tea Research Institute of Lincang, Lincang 677000, China;
    6. Tea Research Institute, Guandong Academy of Agricultural Sciences, Guangzhou 510000, China

Received date: 2020-12-28

  Revised date: 2021-02-04

  Online published: 2021-08-12

Abstract

Camellia taliensis is a wild relative of tea plants (C. sinensis). Understanding of the genetic diversity and population structure of Camellia taliensis is important and helpful for protecting and utilizing these germplasm resources. In this study, a set of 30 core SSR markers derived from tea plants were used for genetic analysis of three representative wild and cultivated C. taliensis populations. The results show that all SSR markers successfully yielded specific amplification, with a range of polymorphic alleles from 2 to 14. The PIC value was between 0.041 and 0.877, with an average of 0.491. The three C. taliensis populations showed moderate levels of genetic diversity, and it was relatively lower for the Daxueshan (DXS) wild population. The inbreeding coefficient (Fis) of Xiangzhuqing (XZQ) and Baiyingshan (BYS) cultivated populations were 0.728 and 0.913 respectively, which meant high levels of inbreeding. Pairwise comparisons of the genetic differentiation index of three populations were low (Fst<0.15), while the rates of gene flow were high (Nm>1). The results of AMOVA exhibite that 94.1% of the genetic variation was within population. The genetic distances of wild and cultivated C. taliensis individuals were relatively higher. The genetic background of wild population was similar, while it was complex for cultivated populations. Seven individuals of BYS population were possibly originated from hybridization and introgression between C. taliensis and C. sinensis var. assamica.

Cite this article

MAO Juan , JIANG Hongjian , YANG Rubing , LI Chongxing , MA Chengying , CHEN Liang , MA Jianqiang . Genetic Diversity and Population Structure of Wild and Cultivated Camellia taliensis Populations[J]. Journal of Tea Science, 2021 , 41(4) : 454 -462 . DOI: 10.13305/j.cnki.jts.2021.04.002

References

[1] 陈亮, 虞富莲, 童启庆. 关于茶组植物分类与演化的讨论[J]. 茶叶科学, 2000, 20(2): 89-94.
Chen L, Yu F L, Tong Q Q.Discussions on phylogenetic classification and evolution of Sect Thea[J]. Journal of Tea Science, 2000, 20(2): 89-94.
[2] 陈亮, 虞富莲, 杨亚军. 茶树种质资源与遗传改良[M]. 北京: 中国农业科学技术出版社, 2006: 11-45.
Chen L, Yu F L, Yang Y J.Germplasm and genetic improvement of tea plant [M]. Beijing: China Agricultural Science and Technology Press, 2006: 11-45.
[3] 段志芬, 杨盛美, 唐一春, 等. 云南大理茶遗传多样性分析[J]. 山西农业科学, 2019, 47(12): 2068-2072.
Duan Z F, Yang S M, Tang Y C, et al.Genetic diversity analysis of Camellia taliensis from Yunnan province[J]. Journal of Shanxi Agricultural Sciences, 2019, 47(12): 2068-2072.
[4] Ogino A, Taniguchi F, Yoshida K, et al.A new DNA marker cafless-TCS1 for selection of caffeine-less tea plants[J]. Breeding Science, 2019, 69(3): 393-400.
[5] 李苗苗, Meegahakumbura M K, 严丽君, 等. 核基因组微卫星标记揭示大理茶参与了阿萨姆茶的驯化过程[J]. 植物分类与资源学报, 2015, 37(1): 29-37.
Li M M, Meegahakumbura M K, Yan L J, et al.Genetic involvement of Camellia taliensis in the domestication of C.sinensis var. assamica (Assimica Tea) revealed by nuclear microsatellite markers[J]. Plant Diversity and Resources, 2015, 37(1): 29-37.
[6] Sharma V S, Kumudini Gunasekare M T. Global tea science[M]. Cambridge: Burleigh Dodds Science Publishing Limited, 2016: 3-19.
[7] 季鹏章, 汪云刚, 蒋会兵, 等. 云南大理茶资源遗传多样性的AFLP分析[J]. 茶叶科学, 2009, 29(5): 329-335.
Ji P Z, Wang Y G, Jiang H B, et al.Genetic diversity of Camellia taliensis from Yunnan province of China revealed by AFLP analysis[J]. Journal of Tea Science, 2009, 29(5): 329-335.
[8] Zhao D W, Yang J B, Yang S X, et al.Genetic diversity and domestication origin of tea plant Camellia taliensis (Theaceae) as revealed by microsatellite markers[J]. BMC Plant Biology, 2014, 14: 14.
[9] 宋永全, 苏祝成. 云南古茶树资源现状与保护对策[J]. 林业调查规划, 2005, 1(5): 108-111.
Song Y Q, Su Z C.Status quo of ancient tea tree resources of Yunnan and measures for protection[J]. Forest Inventory and Planning, 2005, 1(5): 108-111.
[10] 金燕, 卢宝荣. 遗传多样性的取样策略[J]. 生物多样性, 2003, 11(2): 155-161.
Jin Y, Lu B R.Sampling strategy for genetic diversity[J]. Chinese Biodiversity, 2003, 11(2): 155-161.
[11] 黄丹娟, 马建强, 陈亮. 茶树PVP申请品种的SSR分子标记鉴定和系谱关系分析[J]. 茶叶科学, 2016, 36(1): 68-76.
Huang D J, Ma J Q, Chen L.SSR identification and pedigree analysis of PVP application cultivars in tea plant[J]. Journal of Tea Science, 2016, 36(1): 68-76.
[12] 毛娟, 江鸿键, 李崇兴, 等. 云南白莺山地区茶树遗传多样性研究[J]. 茶叶科学, 2018, 38(1): 69-77.
Mao J. Jiang H J, Li C X, et al.Genetic diversity analysis of tea plant in Baiyingshan mountain of Yunnan[J]. Journal of Tea Science, 2018, 38(1): 69-77.
[13] Peakall R O D, Smouse P E. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research[J]. Molecular Ecology Resources, 2006, 6(1): 288-295.
[14] Liu K, Muse S V.PowerMarker: an integrated analysis environment for genetic marker analysis[J]. Bioinformatics, 2005, 21(9): 2128-2129.
[15] Yeh F C.Population genetic analysis of co-dominant and dominant markers and quantitative traits[J]. Belgian Journal of Botany, 1997, 129: 157.
[16] Luikart G, Cornuet J M.Empirical evaluation of a test for identifying recently bottlenecked populations from allele frequency data[J]. Conservation Biology, 1998, 12(1): 228-237.
[17] Excoffier L, Lischer H E L. Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows[J]. Molecular Ecology Resources, 2010, 10: 564-567.
[18] Hubisz M J, Falush D, Stephens M, et al.Inferring weak population structure with the assistance of sample group information[J]. Molecular Ecology Resources, 2009, 9(5): 1322-1332.
[19] Earl D A.STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method[J]. Conservation Genetics Resources, 2012, 4(2): 359-361.
[20] Jakobsson M, Rosenberg N A.CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure[J]. Bioinformatics, 2007, 23(14): 1801-1806.
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