Literature DB >> 19302354

Landscape barriers reduce gene flow in an invasive carnivore: geographical and local genetic structure of American mink in Scotland.

Andrzej Zalewski1, Stuart B Piertney, Hanna Zalewska, Xavier Lambin.   

Abstract

To be effective, management programmes geared towards halting or reversing the spread of invasive species must focus on defined and defensible areas. This requires knowledge of the dispersal of non-native species targeted for control to better understand invasion and recolonisation scenarios. We investigated the genetic structure of invasive American mink (Neovison vison) in Scotland, and incorporated landscape genetic approaches to examine resultant patterns in relation to geographical features that may influence dispersal. Populations of mink sampled from 10 sites in two regions (Argyll and Northeast Scotland) show a distinct genetic structure. First, the majority of pairwise population comparisons yielded F(ST) values that were significantly greater than zero. Second, AMOVA revealed that most of the genetic variance was attributable to differences among regions. Assignment tests placed 89 or more of individuals into their sampled region. Bayesian clustering methods grouped samples into two clusters according to their region of origin. Wombling approach identified the Cairngorms Mountains as a major impediment to gene flow between the regions. Mantel pairwise correlations between genetic and geographical distances estimated as least-cost distance assuming a linear increase in the cost of movement with increasing elevation were higher than Euclidean distances or distance along waterways. Spatial autocorrelation analyses revealed stronger spatial structuring for females than for males. These results suggest that gene flow by American mink is restricted by landscape features (mountain ranges) and that eradication attempt should in the first instance break down the connectivity between management units separated by mountains.

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Year:  2009        PMID: 19302354     DOI: 10.1111/j.1365-294X.2009.04131.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  20 in total

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