生物多样性 ›› 2007, Vol. 15 ›› Issue (3): 292-299.DOI: 10.1360/biodiv.060133

• 论文 • 上一篇    下一篇

应用ISSR-PCR分析蒙古栎种群的遗传多样性

张杰1,吴迪1,汪春蕾1,屈红军2,邹学忠3,杨传平2*   

  1. 1(东北林业大学生命科学学院, 哈尔滨 150040)
    2 (东北林业大学林学院, 哈尔滨 150040)
    3 (辽宁省林业职业技术学院, 沈阳 110101)
  • 出版日期:2007-05-20 发布日期:2007-05-20

Genetic diversity analysis of Quercus mongolica populations with In-ter-Simple Sequence Repeats (ISSR) technique

Jie Zhang1, Di Wu1, Chunlei Wang1, Hongjun Qu2, Xuezhong Zou3, Chuanping Yang2*   

  1. 1 College of Life Sciences, Northeast Forestry University, Harbin 150040
    2 College of Forestry, Northeast Forestry University, Harbin 150040
    3 Liaoning Forestry Technological College, Shenyang 110101
  • Online:2007-05-20 Published:2007-05-20

摘要: 本研究应用ISSR标记技术对东北地区的优势树种蒙古栎(Quercus mongolica)的25个种群遗传多样性进行了分析, 目的是为蒙古栎早期选择提供依据。从60条ISSR引物中筛选出10个特异性强、稳定性好的引物进行ISSR分析。共获得位点数71个, 其中多态位点数56个, 多态位点百分率为78.87%。PopGene分析结果表明: 种群的平均多态位点百分率为45.2%, Shannon表型多样性指数(I)平均值为0.25, 具有较高的遗传多样性, 种群间存在一定程度的基因流(Nm为1.3818)和遗传分化(Nei’s信息多样性指数平均值为0.1068, Gst平均值为0.2657), 种群内的基因多样度占总种群的73.43%, 种群间占26.57%, 表明蒙古栎种群的变异主要来源于种群内。结合聚类分析和地理变异规律把种群划分为两个大的种群组: 小兴安岭种群组和长白山种群组。以上结果可为栎属种质资源的保护和利用以及物种分化研究提供基础资料。

AbstractGenetic diversity of twenty-five populations of Quercus mongolica, which is a dominant tree species from Northeast China, was investigated by the Inter-Simple Sequence Repeat (ISSR) technique, using ten specific and stable primers selected from 60 primers. A total of 71 sites were generated, 56 of which (78.87%) were polymorphic. The data were analyzed by PopGene. The average percentage of polymorphic loci of populations was 45.2% and demonstrated high genetic diversity (the average value of Shannon index (I) was 0.25). To some extent, both gene flow and genetic diversity were present among populations (Nm was 1.3818, average Nei’s index was 0.1068, and average Gst was 0.2657). The gene proportion of diversity reached 73.43% within population but was 26.57% among populations. This demonstrated that genetic variation of Q. mongolica populations was mainly within populations. According to cluster analysis and the law of geographic variation, the populations were classified into two large groups: the Xiaoxinganling group and the Changbaishan group. These results supplement information for protection and utilization of Q.mongolica, and also provide further data for the study of genetic variation and species differentiation of Quercus.