中国农业科学 ›› 2014, Vol. 47 ›› Issue (9): 1836-1846.doi: 10.3864/j.issn.0578-1752.2014.09.019

• 研究简报 • 上一篇    下一篇

贵州省烟青虫遗传多样性

 师沛琼1, 杨茂发1, 吕召云1, 李尚伟1, 廖启荣1, 商胜华2, 徐进1, 吴怡蓓1   

  1. 1、贵州大学昆虫研究所/贵州省山地农业病虫害重点实验室, 贵阳 550025;
    2、贵州省烟草科学研究院,贵阳 550081
  • 收稿日期:2013-10-15 出版日期:2014-05-01 发布日期:2013-12-02
  • 通讯作者: 杨茂发,Tel:0851-3851274;E-mail:yangmaofa@sohu.com
  • 作者简介:师沛琼,E-mail:peiqiongshi@126.com
  • 基金资助:

    中国烟草总公司贵州省公司2010年度科学研究技术开发项目计划(201022)

Genetic Diversity of Helicoverpa assulta (Lepidoptera: Noctuidae) in Guizhou Province

 SHI  Pei-Qiong-1, YANG  Mao-Fa-1, 吕Zhao-Yun-1 , LI  Shang-Wei-1, LIAO  Qi-Rong-1, SHANG  Sheng-Hua-2, XU  Jin-1, WU  Yi-Bei-1   

  1. 1、Institute of Entomology, Guizhou University/Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Guiyang 550025;
    2、Guizhou Tobacco Science Research Institute, Guiyang 550081
  • Received:2013-10-15 Online:2014-05-01 Published:2013-12-02

摘要: 【目的】探讨贵州省烟青虫(Helicoverpa assulta)不同地理种群间是否存在遗传分化及分化程度,揭示遗传分化产生的规律及机理,为指导虫情监测及制定合理的综合防治方案提供科学依据。【方法】以贵州省30个烟青虫地理种群为试验材料,从43对近缘种SSR引物中筛选出6对引物用于PCR扩增,PCR产物用8%非变性聚丙烯酰胺凝胶电泳检测,常规银染法染色。用PopGene Version1.32对各种群进行遗传多样性分析。根据Nei’s遗传距离,利用MEGA5.0软件进行UPGMA聚类分析。采用Mantel检测法比较遗传一致度与海拔差距、遗传距离与地理距离的相关性。【结果】30个烟青虫地理种群在6个微卫星位点中观测等位基因数为3—8,平均为5,有效等位基因数为1.4498—2.2219,平均为1.8594。Shannon信息指数为0.5310—1.0609,平均为0.8423。观测杂合度为0.0260—0.2672,平均为0.1239;期望杂合度为0.3123—0.5520,平均为0.4539;期望杂合度均高于观测杂合度,说明各种群以纯合子为主。烟青虫地理种群在6个微卫星位点上,FIS为0.0798—0.7906,平均为0.2801,FIT为0.4842-0.9731,平均为0.7809,FIS、FIT均为正数,说明贵州省各烟区烟青虫种群存在近交现象。FST为0.3879—0.9256,基因流Nm﹤1,说明在这6个位点上各种群间极度分化,基因交流水平低。遗传距离(D)为0.0068—2.5193,遗传一致度(I)为0.1051—0.9933,松桃与印江种群之间的遗传距离最小,遗传一致度最大,道真种群与赫章种群之间的遗传距离最大,遗传一致度最小。UPGMA聚类分析表明,贵州省30个烟青虫地理种群大致分为3部分,聚类结果在自然地理分布方面没有呈现出明显的规律性,仅部分种群体现了地理距离和遗传分化的关系。Mantel检测表明,遗传距离与地理距离无显著相关性,遗传一致度与海拔差距无显著相关性。【结论】贵州省烟青虫种群具有较丰富的遗传多样性。各种群间极度分化,遗传变异主要来自种群间。地理隔离没有对种群遗传分化造成显著影响。

关键词: 贵州 , 烟青虫 , 微卫星标记 , 遗传多样性 , 遗传分化

Abstract: 【Objective】 The objectives of the study are to explore genetic differentiation of oriental tobacco budworm (Helicoverpa assulta) among different geographic populations in Guizhou, uncover the differential law and mechanism, and to provide a scientific basis for the pest monitoring and integrated control. 【Method】 PCR amplifications were performed by 6 pairs of SSR primers that were screened out from 43 pairs of primers from closely-related species, using DNA from 30 H. assulta geographic populations in Guizhou as template. The PCR products were subjected to 8% non-denaturing polyacrylamide gelelectrophoresis and visualized by silver staining. Genetic diversity was analyzed by PopGene Version 1.32, and the UPGMA dendrogram was constructed by using MEGA 5.0 based on the Nei’s genetic distance. The correlation between genetic and geographic distances as well as between genetic identity and elevation were analyzed by using Mantel. 【Result】 The observed and effective number of alleles ranged from 3 to 8 with an average of 5 and from 1.4498 to 2.2219 with an average of 1.8594, respectively. Shannon’s information index ranged from 0.5310 to 1.0609 with an average of 0.8423. The observed (Ho) and expected heterozygosity (He) varied from 0.0260 to 0.2672 with a mean of 0.1239 and from 0.3123 to 0.5520 with a mean of 0.4539, respectively. The He was higher than the Ho, suggesting that all populations were mainly in homozygous condition. FIS changed from 0.0798 to 0.7906 with a mean of 0.2801; FIT changed from 0.4842 to 0.9731 with a mean of 0.7809. Both FIS and FIT were positive, indicating that there existed inbreeding in the all populations of H. assulta from tobacco-growing areas of Guizhou. FST ranged from 0.3897 to 0.9256 and gene flow (Nm) was less than 1, which reflected high genetic differentiation and a low level of Nm among all the populations. Genetic distance was in a range of 0.0068-2.5193 and genetic identity was in a range of 0.1051-0.9933. The minimum genetic distance (0.0068) and the maximum genetic identity (0.9933) were observed between Songtao and Yinjiang populations, whereas the maximum genetic distance (2.5193) and the minimum genetic identity (0.1051) were observed between Daozhen and Hezhang populations. The UPGMA phylogenetic analysis showed that the 30 geographic populations in Guizhou were clustered into three groups. The clustering had no significant correlation with the geographic distribution and only in a few populations the genetic differentiation had relationship with geographic distance. Mantel tests demonstrated that there was no significant correlation between genetic and geographic distances as well as between genetic identity and elevation. 【Conclusion】 There exists a high level of genetic diversity among different geographic populations of H. assulta in Guizhou. All the populations are highly differentiated and the genetic differentiation primarily occurred between populations. Geographic isolation has no significant effect on the genetic differentiation.

Key words: Guizhou , Helicoverpa assulta , microsatellite marker , genetic diversity , genetic differentiation