Multiscale landscape genetic analysis identifies major waterways as a barrier to dispersal of feral pigs in north Queensland, Australia,Ecology and Evolution

当前位置： X-MOL 学术 › Ecol. Evol. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Multiscale landscape genetic analysis identifies major waterways as a barrier to dispersal of feral pigs in north Queensland, Australia
Ecology and Evolution ( IF 2.3 ) Pub Date : 2023-09-28 , DOI: 10.1002/ece3.10575
James Ryan ₁ , Peter J Prentis _{1,

2} , Susan Fuller ₁

Affiliation

Feral pigs (Sus scrofa) are a destructive and widespread invasive pest in Australia. An understanding of feral pig movement is required to develop management strategies to control feral pigs in Australia. Because landscape structure can have a strong influence on animal movement, it is important to determine how landscape features facilitate or impede the movement of feral pigs. Consequently, we conducted a landscape genetic analysis of feral pig populations in the Herbert region of far north Queensland, Australia, to determine management units and provide recommendations to better inform feral pig population control strategies. Using microsatellite data obtained from 256 feral pig samples from 44 sites, we examined feral pig population structure at multiple spatial scales for univariate and multivariate landscape resistance surfaces to determine the optimal spatial scale and to identify which of the nine landscape features tested impede or facilitate feral pig gene flow. Only weak genetic structure was found among the 44 sampling sites, but major waterways were identified as a minor barrier to gene flow, and an isolation by distance model was supported. We also found that highways facilitated gene flow across the study area, and this suggests that they may act as movement corridors or indicate translocation of feral pigs. Additionally, incorporating a second spatial scale enhanced the ability of our landscape genetics analysis to detect the influence of landscape structure on gene flow. We identified three management units based on natural barriers to gene flow and future targeted control should be undertaken in these management units to deliver sustained reduction of feral pig populations in the Herbert region. This study demonstrates how a landscape genetic approach can be used to gain insight into the ecology of an invasive pest species and be used to develop population control strategies which utilise natural barriers to movement.

中文翻译：

多尺度景观遗传分析确定主要水道是澳大利亚昆士兰州北部野猪扩散的障碍

野猪（Sus scrofa）是澳大利亚一种具有破坏性且广泛传播的入侵性害虫。需要了解野猪的活动，才能制定控制澳大利亚野猪的管理策略。由于景观结构对动物运动有很大影响，因此确定景观特征如何促进或阻碍野猪的运动非常重要。因此，我们对澳大利亚昆士兰州远北赫伯特地区的野猪种群进行了景观遗传分析，以确定管理单位并提供建议，以更好地为野猪种群控制策略提供信息。利用从 44 个地点的 256 个野猪样本获得的微卫星数据，我们在多个空间尺度上检查了单变量和多变量景观阻力面的野猪种群结构，以确定最佳空间尺度，并确定所测试的九个景观特征中的哪一个阻碍或促进野猪猪基因流。在 44 个采样点中仅发现了较弱的遗传结构，但主要水道被认为是基因流动的次要障碍，并且支持距离隔离模型。我们还发现高速公路促进了研究区域内的基因流动，这表明它们可能充当运动走廊或表明野猪的易位。此外，纳入第二个空间尺度增强了景观遗传学分析检测景观结构对基因流影响的能力。我们根据基因流动的自然障碍确定了三个管理单元，未来应在这些管理单元中进行有针对性的控制，以实现赫伯特地区野猪数量的持续减少。这项研究展示了如何利用景观遗传学方法来深入了解入侵性害虫物种的生态学，并用于制定利用自然移动障碍的种群控制策略。

更新日期：2023-09-29

点击分享查看原文

点击收藏

公开下载

阅读更多本刊新发论文本刊介绍/投稿指南