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    基于微卫星标记的广西松墨天牛遗传多样性与遗传结构研究

    Research on genetic diversity and genetic structure of Monochamus alternatus based on microsatellite loci

    • 摘要:
      目的 松墨天牛是松材线虫病的主要传播媒介,明确其种群遗传多样性与遗传结构特征,对于厘清该物种在地域内的种群历史动态和预测扩散路径至关重要。
      方法 采用10个松墨天牛的多态性微卫星位点,对广西壮族自治区范围内12个地理种群的320头松墨天牛样本进行分子标记,分析其种群遗传多样性与遗传结构。
      结果 (1)广西松墨天牛种群总体遗传多样性处于中等水平(Na = 5.00,He = 0.522),但种群间存在显著遗传分化(Fst = 0.095,P < 0.05),部分种群表现出较高的近交特征,如柳州(LZ)种群(F = 0.39)。(2)种群遗传多样性与年平均气温、最冷月平均气温以及平均日照时数具有显著负相关性,与采样点的平均温差具有显著正相关性。(3)分子方差分析(AMOVA)表明广西松墨天牛90.47%的遗传变异存在于种群内部,9.53%的遗传变异存在于种群间。(4)种群结构的Structure分析和UPGMA聚类分析结果一致,均表明12个种群可划分为桂北、桂南和桂东3个地理谱系。
      结论 广西松墨天牛的遗传格局可能受到地理隔离、生态异质性以及人为介导扩散的多重驱动,该结果为理解松墨天牛的区域扩散机制提供了关键信息。

       

      Abstract:
      Objective Monochamus alternatus is the primary vector of pine wilt disease. Clarifying the population genetic diversity and genetic structure characteristics of this species is crucial for understanding its demographic history and predicting its dispersal routes in regional areas.
      Method Using 10 polymorphic microsatellite loci of M. alternatus, 320 individuals collected from 12 geographical populations in Guangxi Zhuang Autonomous Region were genotyped to analyze population genetic diversity and genetic structure.
      Result (1) The overall genetic diversity of M. alternatus populations in Guangxi was at a moderate level (Na = 5.00, He = 0.522). However, significant genetic differentiation existed among populations (Fst = 0.095, P < 0.05), and several populations exhibited obvious inbreeding characteristics, such as the Liuzhou (LZ) population (F=0.39). (2) The genetic diversity of the population has a significant negative correlation with the annual average temperature, the average temperature of the coldest month, and the average duration of sunshine. It also has a significant positive correlation with the average temperature difference at the sampling sites. (3) Analysis of molecular variance (AMOVA) revealed that 90.47% of the genetic variation in M. alternatus from Guangxi occurred within populations, while only 9.53% was distributed among populations. (4) The Structure analysis and UPGMA cluster analysis of population structure yielded consistent results, both indicating that the 12 populations could be divided into three geographic lineages: northern Guangxi, southern Guangxi and eastern Guangxi.
      Conclusion The genetic pattern of M. alternatus in Guangxi may be jointly driven by geographical isolation, ecological heterogeneity and human-mediated dispersal. These findings provide key insights into understanding the regional dispersal mechanism of M. alternatus.

       

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