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Genetic footprints reveal geographic patterns of expansion in Fennoscandian red foxes

机译:遗传足迹揭示芬诺斯堪的纳维亚红狐狸扩张的地理格局

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Population expansions of boreal species are among the most substantial ecological consequences of climate change, potentially transforming both structure and processes of northern ecosystems. Despite their importance, little is known about expansion dynamics of boreal species. Red foxes (Vulpes vulpes) are forecasted to become a keystone species in northern Europe, a process stemming from population expansions that began in the 19th century. To identify the relative roles of geographic and demographic factors and the sources of northern European red fox population expansion, we genotyped 21 microsatellite loci in modern and historical (1835-1941) Fennoscandian red foxes. Using Bayesian clustering and Bayesian inference of migration rates, we identified high connectivity and asymmetric migration rates across the region, consistent with source-sink dynamics, whereby more recently colonized sampling regions received immigrants from multiple sources. There were no clear clines in allele frequency or genetic diversity as would be expected from a unidirectional range expansion from south to north. Instead, migration inferences, demographic models and comparison to historical red fox genotypes suggested that the population expansion of the red fox is a consequence of dispersal from multiple sources, as well as in situ demographic growth. Together, these findings provide a rare glimpse into the anatomy of a boreal range expansion and enable informed predictions about future changes in boreal communities.
机译:北方物种的种群扩张是气候变化最严重的生态后果之一,有可能改变北方生态系统的结构和过程。尽管它们很重要,但对北方物种的扩张动态知之甚少。狐狸(Vulpes vulpes)预计将成为北欧的主要物种,这一过程源于19世纪开始的人口膨胀。为了确定地理和人口因素的相对作用以及北欧红狐种群扩展的来源,我们对现代和历史(1835-1941年)的芬诺斯堪的纳维亚红狐中的21个微卫星基因座进行了基因分型。使用贝叶斯聚类和贝叶斯迁移率推断,我们确定了整个区域的高连通性和非对称迁移率,这与源库动态一致,借此,最近被殖民化的采样区域从多个源头接收了移民。正如从南到北的单向范围扩展所期望的,等位基因频率或遗传多样性中没有清晰的谱系。取而代之的是,迁徙推论,人口统计学模型以及与历史红狐基因型的比较表明,红狐种群的增长是多种来源扩散以及当地人口增长的结果。在一起,这些发现提供了一个罕见的窥视范围扩大的解剖结构,并使人们能够对北方社区的未来变化做出明智的预测。

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