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基于EST-SSR标记的云南无性系茶树良种遗传多样性分析及指纹图谱构建

  • 刘本英 ,
  • 孙雪梅 ,
  • 李友勇 ,
  • 黄安平 ,
  • 汪云刚 ,
  • 成浩 ,
  • 宋维希 ,
  • 陈林波 ,
  • 段志芬 ,
  • 马玲
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  • 1. 云南省农业科学院茶叶研究所,云南 勐海 666201;
    2. 湖南省农业科学院茶叶研究所,湖南 长沙 410125;
    3. 中国农业科学院茶叶研究所,浙江 杭州 310008
刘本英(1972— ),男,湖南怀化人,博士,副研究员,主要从事茶树种质资源及遗传改良研究。liusuntao@126.com

收稿日期: 2012-02-02

  修回日期: 2012-03-07

  网络出版日期: 2019-09-05

基金资助

国家自然科学基金项目 (31160175)、农业部作物种质保护项目(NB2011-2130135-01)、云南省农业科学院茶叶研究所博士人才基金(2009A0937)、云南省科技创新人才计划(2011CI068)

Analysis of Genetic Diversity and Construction of DNA Fingerprinting with EST-SSR Markers for Improved Clonal Tea Cultivars in Yunnan Province

  • LIU Ben-ying ,
  • SUN Xue-mei ,
  • LI You-yong ,
  • HUANG An-ping ,
  • WANGYun-gang ,
  • CHENG Hao ,
  • SONG Wei-xi ,
  • CHEN Lin-bo ,
  • DUAN Zhi-fen ,
  • MA Ling
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  • 1. Tea Research Institute, Yunnan Academy of Agricultural Science, Menghai 666201, China;
    2. Tea Research Institute, Hunan Academy of Agricultural Science, Changsha 410125, China;
    3. Tea Research Institute, Chinese Academy of Agricultural Science, Hangzhou 310008, China

Received date: 2012-02-02

  Revised date: 2012-03-07

  Online published: 2019-09-05

摘要

分析茶树品种遗传多样性和构建茶树品种分子指纹图谱对茶树育种、品种鉴别、品种权益保护、苗木纯度检测等具有重要意义。利用SSR标记对28份无性系茶树品种遗传多样性和指纹图谱进行了研究。22对引物共检测到等位位点56个,平均每对引物产生2.55个;共检测到97个基因型,平均每对引物所扩增的基因型有4.41个,遗传多态性信息含量为0.279~0.709,平均0.527,表明SSR标记具有较高的多态性。品种间的遗传相似系数为0.642~0.973之间,平均为0.797,表明品种间的遗传差异较小,遗传多样性较低,遗传基础较窄。根据SSR标记特点,将SSR引物扩增统计的“0”、“1”转换成基因型,通过不同基因型组合,构建了云南无性系茶树品种的分子指纹图谱,使每个品种都获得了1个22位数的指纹图谱号码,进而可将不同品种完全区分鉴别。

本文引用格式

刘本英 , 孙雪梅 , 李友勇 , 黄安平 , 汪云刚 , 成浩 , 宋维希 , 陈林波 , 段志芬 , 马玲 . 基于EST-SSR标记的云南无性系茶树良种遗传多样性分析及指纹图谱构建[J]. 茶叶科学, 2012 , 32(3) : 261 -268 . DOI: 10.13305/j.cnki.jts.2012.03.011

Abstract

Analysis of genetic diversity and construction of molecular fingerprints is very important to breed new tea cultivars and identify new varieties, cultivars authenticity and seedings purity. Twenty-two EST-SSR primer pairs with better polymorphism in this study were used to research the genetic diversity and DNA fingerprinting of 28 tea cultivars. A total of 56 putative alleles were generated with a mean of 2.55 for putative alleles per locus. Totally 97 genotypes were detected in all materials with a mean of 4.41 for each polymorphism primer pairs. The polymorphism information content (PIC) varied from 0.279 to 0.709, with a higher average of 0.527. These results showed a high level polymorphism in SSR markers. The genetic similarity coefficient among 28 tea cultivars ranged from 0.642 to 0.973 with an average of 0.797, suggesting that the tea cultivars used in the experiment possessed a low level polymorphism and a narrow genetic variation. The EST-SSR alleles were determined for bands size (bp) and scored as present (1) or absent (0). According to the genotypes code rule, the 1 and 0 results which one pair of SSR primers amplified in a cultivar could be converted to genotypes code following their fragment size. The results proved that it is a very useful tool for discriminating tea cultivar, and all accessions could be discriminated from a set of molecular fingerprints.

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