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麻疯树种质资源遗传多样性的ISSR分析
引用本文:何玮,郭亮,王岚,杨威,唐琳,陈放. 麻疯树种质资源遗传多样性的ISSR分析[J]. 应用与环境生物学报, 2007, 13(4): 466-470
作者姓名:何玮  郭亮  王岚  杨威  唐琳  陈放
作者单位:四川大学生命科学学院生物资源与生态环境教育部重点实验室,资源生物学及生物制药工程省重点实验室,成都,610064
基金项目:国家自然科学基金;教育部科学技术研究重点项目;教育部科学技术研究项目
摘    要:采用ISSR分子标记技术对大戟科属麻疯树9个自然居群的遗传多样性水平和遗传结构进行了研究.用10个引物对9个居群共135个样品进行了扩增,共获得169条清晰的扩增位点,其中多态性位点164个.POPGENE分析结果表明,麻疯树居群具有丰富的遗传多样水平(多态百分率PPB=97.04%,Neis遗传多样性H=0.2357,Shannon信息指数I=0.3760).AMOVA分析表明,9个自然居群间遗传多样性出现了较大的遗传分化(Gst=0.5398)可能与其有限的基因流(Nm=0.4667)和遗传漂变有关;而居群内有限的遗传分化可能是由于麻疯树自交、近交占主导方式的繁育方式有关.并进行了麻疯树居群的聚类分析.图3表4参19

关 键 词:麻疯树  遗传多样性  遗传结构  育种
收稿时间:2007-04-16
修稿时间:2007-05-10

ISSR Analysis of Genetic Diversity of Jatropha curcas L.
HE Wei,GUO Liang,WANG Lan,YANG Wei,TANG Lin,CHEN Fang. ISSR Analysis of Genetic Diversity of Jatropha curcas L.[J]. Chinese Journal of Applied and Environmental Biology, 2007, 13(4): 466-470
Authors:HE Wei  GUO Liang  WANG Lan  YANG Wei  TANG Lin  CHEN Fang
Affiliation:Key Laboratory of Bio-resources and Eco-environnwnt, Ministry of Education, Provincial Key Laboratory of Resources Biology and Bio-pharmaceutical Engineering, College of Life Sciences, Siehuan University, Chengdu 610064, China
Abstract:Using ISSR analysis, the genetic diversity and genetic structure of 9 natural populations of Jatropha curcas L. were invested. Ten ISSR primers generated highly reproducible and stable DNA fragments. 164 of 169 loci were polymorphic (PPB=97.04%), and POPGENE analysis result (H=0.235 7, I=0.376 0) suggested a high level of genetic variation of J. curcas among the different populations. Based on AMOVA analysis, more variations occurred among the populations (Gst=0.539 8) than within a population. The high genetic variation level among the populations could be caused by not only the limited gene flow (Nm=0.466 7), but also the genetic drift. On the other hand, relatively low variation within a population might be related to the reproductive style. Based on the dendrogram result, this paper provides some strategies for the breeding of J. curcas. Fig 3, Tab 4, Ref 19
Keywords:ISSR
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