Michal Rindos, Roman V. Yakovlev, Karen McLachlan Hamilton, Zdenek Faltynek Fric, S. Knyazev, Reza Zahiri
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引用次数: 0
摘要
具有重要经济意义的森林害虫的系统地理学对于了解其人口和进化历史非常重要。将获得的遗传数据与生物气候模型联系起来,有助于揭示所研究害虫物种的未来种群趋势。Lymantria monacha 是一种多食性害虫,在整个古北欧地区以众多针叶树和落叶树为食,已知会造成灾难性的落叶,尤其是在欧洲。此外,过去十年间各种测绘计划的数据显示,L. monacha 的分布发生了变化。因此,在这项研究中,我们决定利用遗传数据并辅以生物气候模型,来阐明这一重要森林物种的进化和人口历史。我们的研究结果证实了 L. monacha 的系统地位和单系性。然而,研究区域之间缺乏地理模式,这表明目前的遗传结构可能是近期扩散事件的结果。此外,我们还发现,遗传多样性较高的地区与过去可能发生的分布区转移以及气候和寄主植物可用性变化的存活情况相一致。这两个主要变量似乎也决定了 L. monacha 未来的分布范围。此外,我们的建模证实了其分布范围的极地转移,并从目前的南部分布边缘显著后撤。
Phylogeography and bioclimatic models revealed a complicated genetic structure and future range shifts of Lymantria monacha L.
The phylogeography of economically important forest pests is important for understanding their demographic and evolutionary history. Linking the genetic data obtained with the bioclimatic models helps reveal future demographic trends of the pest species studied. Lymantria monacha is a polyphagous species that feeds on numerous coniferous and deciduous trees throughout the Palaearctic and is known to cause catastrophic defoliation, particularly in Europe. In addition, data from various mapping programmes over the last decade have revealed changes in the distribution of L. monacha. Therefore, in this study, we decided to clarify the evolutionary and demographic history of this important forest species using genetic data complemented by bioclimatic modelling. Our results confirmed the systematic status and monophyly of L. monacha. However, the lack of a geographical pattern between the studied regions suggests that the current genetic structure may be the result of recent dispersal events. Moreover, we found that the areas of high genetic diversity are consistent with potential past range shifts and survival of changes in climate and host plant availability. These two main variables also seem to determine the future range of L. monacha. Also, our modelling confirmed a poleward shift in its range and with a significant retraction from its current southern edge of distribution.