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植物研究 ›› 2011, Vol. 31 ›› Issue (5): 585-591.doi: 10.7525/j.issn.1673-5102.2011.05.013

• 论文 • 上一篇    下一篇

白花泡桐种源的遗传多样性和遗传分化研究

莫文娟1;袁德义1*;李芳东2;乔杰2;李荣幸2;罗健1;王路红1   

  1. 1.中南林业科技大学国家林业局经济林育种与栽培重点实验室,长沙 410004;2.国家林业局泡桐研究开发中心,郑州 450003
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-09-20 发布日期:2011-09-20
  • 通讯作者: 袁德义
  • 基金资助:
     

Genetic Diversity and Genetic Differentiation for Paulownia fortunei Provenances

MO Wen-Juan;YUAN De-Yi*;LI Fang-Dong;QIAO Jie;LI Rong-Xing;LUO Jian;WANG LU-Hong   

  1. 1.The Key Lab. of Non-wood Forest Product of Forestry Ministry Central South University of Forestry and Technology,Changsha 410004;2.Paulownia Research and Development Center of State Forestry Administration,Zhengzhou 450003
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-09-20 Published:2011-09-20
  • Contact: YUAN De-Yi
  • Supported by:
     

摘要: 利用ISSR技术对白花泡桐38个种源的遗传多样性和遗传分化进行分析。结果显示:(1)从100个ISSR引物中筛选出9个能扩增出清晰带型并具多态性的引物,共扩增出95个条带,其中88条具多态性,多态位点比率为92.63%。(2)在物种水平上,有效等位基因数(Ne)、Nei’s基因多样性指数(H)、Shannon’s信息指数(I)的平均值分别为1.391 0、0.242 4、0.376 5;种源的多态位点比率在32.63%(江西抚州)~56.84%(广西梧州和江西九江)之间,平均为47.16%;基因流(Nm)为0.912 7,种源间遗传分化系数(Gst)为0.353 9,反映出种源间遗传变异占总遗传变异的35.39%,且遗传变异主要来源于种源内的个体间。(3)遗传一致度在0.39~0.82之间,反映出白花泡桐的遗传基础较宽。UPGMA法聚类分析将38个种源分为3组,主坐标分析(PCoA)将其大致分为4组,两种聚类方法的结果有一定的差异,本文做了相关讨论。研究还表明种源间的遗传距离与地理距离相关不显著。

关键词: 白花泡桐, 遗传多样性, 遗传分化, 聚类分析, 主坐标分析

Abstract: Thirty-eight provenances of Paulownia fortunei were used to detect the genetic diversity and genetic differentiation by inter-simple sequence repeats (ISSR) analysis. The results showed that: (1)A total 95 DNA fragments were amplified using 9 primers with unambiguous unique polymorphic bands screened from 100 ISSR primers, polymorphic loci of which were 88 (PPB=92.63%). (2)At the species level, the mean values of effective number of alleles (Ne) , Nei’s gene diversity index (H) and Shannon’s Information index (I) among provenances were 1.391 0, 0.242 4 and 0.376 5, respectively, the percentages of polymorphic loci (PPL) among different provenances were between 32.63% (Fuzhou, Jiangxi) and 56.84% (Wu Zhou, Guangxi and Jiu Jiang, Jiangxi) with an average of 47.16%; Gene flow among populations (Nm) was 0.912 7, the coefficient of population differentiation (Gst) was 0.353 9, which estimated that the genetic variation between provenances account for 35.39%, indicating that the genetic variation between provenances was higher than that of within provenances. (3)Genetic identity ranged from 0.39 to 0.82, reflecting the relatively wide genetic basis among P.fortunei provenances. Thirty-eight provenances of P.fortunei could be divided into 3 major groups obviously based on the UPGMA cluster analysis. A rotated PCoA plot with the markers as observations was constructed to determine 4 big groups. Principal coordinates analysis (PCoA) for ISSR data did not give the same result with the UPGMA cluster, the corresponding discussion was made in the paper. The test also illustrated that there was no significant correlation between genetic and geographic distances among provenances.

Key words: Paulownia fortunei, genetic diversity, genetic differentiation, cluster analysis, principal coordinates analysis

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