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草业学报 ›› 2010, Vol. 19 ›› Issue (1): 173-183.

• 研究论文 • 上一篇    下一篇

青藏高原老芒麦种质基于SRAP标记的遗传多样性研究

鄢家俊1,2,白史且1,2*,张新全1,游明鸿2,张昌兵2,李达旭2,曾怡1   

  1. 1.四川农业大学草业科学系,四川 雅安 625014;
    2.四川省草原科学研究院,四川 成都 611731
  • 收稿日期:2009-03-05 出版日期:2010-01-25 发布日期:2010-02-20
  • 作者简介:鄢家俊(1983-),女,四川简阳人,博士。E-mail: yanjj510@yahoo.com.cn
  • 基金资助:

    国家公益性草业行业科研项目(nyhyzx07-022)和现代农业产业技术体系建设专项资金资助。

Genetic diversity of wild Elymus sibiricus germplasm from the Qinghai-TibetanPlateau in China detected by SRAP markers

YAN Jia-jun1,2, BAI Shi-qie1,2, ZHANG Xin-quan1, YOU Ming-hong2,
ZHANG Chang-bing2, LI Da-xu2, ZENG Yi1   

  1. 1.Department of Grassland, Sichuan Agricultural University, Ya’an 625014, China;
    2.Sichuan
    Grassland Science Academy, Chengdu 611731, China
  • Received:2009-03-05 Online:2010-01-25 Published:2010-02-20

摘要:

采用SRAP分子标记技术,对采自青藏高原的52份老芒麦材料进行遗传多样性分析,结果表明,1)用16对随机引物组合共扩增出318条清晰可辨的条带,其中多态性条带275条,占86.48%,材料间的遗传相似系数(GS)范围为0.506 4~0.958 6,平均值为0.792 1,物种水平上的Nei氏遗传多样性为0.227 0,这些结果说明供试老芒麦具有较为丰富的遗传多样性;2)对所有材料的聚类分析发现,在GS=0.80的水平上,供试材料可聚为5类,大部分来自相同或相似生态地理环境的材料聚为一类,表明供试材料的聚类和其生态地理环境间有一定的相关性;3)对5个老芒麦地理类群基于Shannon-Weaver指数的遗传分化估算发现,类群内遗传变异占总变异的65.29%;而类群间遗传变异占总变异的34.71%;4)对各生态地理类群基于Nei氏无偏估计的遗传一致度聚类分析表明,各生态地理类群间的遗传分化与其所处的生态地理环境具有一定的相关性。

Abstract:

Sequence-related amplified polymorphism (SRAP) molecular markers were used to detect the genetic diversity of 52 wild accessions of Elymus sibiricus collected from the Qinghai-Tibetan plateau. 1) A total 318 fragments were identified with 16 SRAP primer sets and 86.48% were polymorphic. The Nei’s genetic similarity coefficient of the tested accessions ranged from 0.506 4 to 0.958 6, and the average Nei’s coefficient was 0.792 1. The Nei’s index of diversity at the species level was 0.227 0. There was rich genetic diversity among the tested wild resources of E. sibiricus. 2) The results demonstrated a strong geographic effect on molecular variation of the local E. sibiricus as indicated by unweighted pairwise groups method using arithmetic average (UPGMA), and 52 wild accessions were clustered into five groups at GS=0.80 level on a dendrogram. 3) Genetic differentiation between and within five eco-geographical groups of E. sibiricus were estimated by Shannon’s diversity index, which showed that 65.29% genetic variance existed within groups, and 34.71% between groups. 4) Based on Nei’s unbiased measures of genetic identity, UPGMA cluster analysis measures of five eco-geographical groups of E. sibiricus, indicated that there was a correlation between genetic differentiation and eco-geographical habits among the groups.

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