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草业学报 ›› 2010, Vol. 19 ›› Issue (4): 122-134.

• 研究论文 • 上一篇    下一篇

青藏高原东南缘老芒麦自然居群遗传多样性的SRAP和SSR分析

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

  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:2009-11-16 出版日期:2010-08-20 发布日期:2010-08-20
  • 作者简介:鄢家俊(1983-),女,四川简阳人,博士。 E-mailyanjj510@yahoo.com.cn
  • 基金资助:

    国家公益性农业行业专项(nyhyzx07-022),现代农业产业技术体系建设专项资金和国家“十一五”科技支撑计划项目(2008BADB3B07)资助。

Genetic diversity of native Elymus sibiricus populations in the Southeastern Margin of Qinghai-Tibetan Plateau as detected by SRAP and SSR markers

YAN Jia-jun1,2, BAI Shi-qie1,2, ZHANG Xin-quan1, CHANG Dan1, YOU Ming-hong2, ZHANG Chang-bing2, LI Da-xu2   

  1. 1.Department of Grassland, Sichuan Agricultural University, Ya’an 625014, China;

    2.Sichuan Grassland Science Academy, Chengdu 611731, China
  • Received:2009-11-16 Online:2010-08-20 Published:2010-08-20

摘要:

基于SRAP和SSR分子标记分析了青藏高原东南缘8个老芒麦自然居群遗传变异及群体遗传结构,获得下述结果:1)16对SRAP引物在90个单株中共扩增出384条可统计条带,其中多态性条带334条,占86.98%;16个SSR位点共检测出等位变异221个,平均每个位点13.8个,其中具有多态性的位点数192个,占86.88%。2)2种分子标记检测到老芒麦居群水平的基因多样性(He)分别为0.1092和0.1296,而物种水平的基因多样性达0.2434和0.3732。3)基于2种标记的Nei氏遗传分化指数Gst(0.5525和0.5158)表明老芒麦居群出现了较大程度的遗传分化,居群间的基因流非常有限,分别为0.4050和0.4694,老芒麦的遗传变异主要分布在居群间,居群内变异相对较小,Shannon多样性指数和分子方差变异(AMOVA)分析显示了相似的结果。4)基于聚类分析结果表明各居群间存在较为明显的地理分化,8个居群分化为采集地范围内的南、北和中部3个分支。通过对老芒麦遗传多样性和遗传结构的分析提出了对该物种遗传多样性的保护策略。

Abstract:

The objectives of the study were to quantify the genetic variability in eight natural populations of Elymus sibiricus collected from Southeastern Margin of Qinghai-Tibetan Plateau, and to explore its genetic variation distribution pattern. Sequence-related amplified polymorphism (SRAP) markers and simple sequence repeat (SSR) markers were employed. The follow results were obtained: 1) A total of 384 fragments were identified with 16 SRAP primers sets, of which 86.98% were polymorphic. Meanwhile, a total of 221 alleles were detected at 16 SSR loci, with 192 (86.88%) being polymorphic, indicating considerable genetic variation at the species level. 2) The mean gene diversity (He) was estimated to be 0.109 2 and 0.129 6 within populations detected by SRAP and SSR markers respectively, and 0.243 4 and 0.373 2 at the species level. 3) A high level of genetic differentiation among populations was detected based on Nei’s genetic diversity analysis both in SRAP (Gst=0.552 5) and SSR (Gst=0.515 8) markers, and an indirect estimate of the number of migrants per generation (0.405 0 by SRAP markers, 0.469 4 by SSR markers) showed that gene flow was low among populations. 4) Shannon’s index analysis and AMOVA analysis displayed the same result that mainly genetic variation of E. sibiricus existed among the populations. In addition, a geographical pattern of population differentiation, where the populations from south, north and middle area of sampling sites were clearly separated from each other, was revealed by cluster analysis. Based on the genetic information available for the native E. sibiricus, some conservation strategies were proposed.

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