Detecting adaptive evolution based on association with ecological gradients : orientation matters
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Population genetic signatures of local adaptation are frequently investigated by identifying loci with allele frequencies that exhibit high correlation with ecological variables. One difficulty with this approach is that ecological associations might be confounded by geographic variation at selectively neutral loci. Here we consider populations that underwent spatial expansion from their original range, and for which geographical variation of adaptive allele frequency coincides with habitat gradients. Using range expansion simulations, we asked whether our ability to detect genomic regions involved in adaptation could be impacted by the orientation of the ecological gradients. For three ecological association methods tested, we found, counterintuitively, fewer false positive associations when ecological gradients aligned along the main axis of expansion than when they aligned along any other direction. This result has important consequences for the analysis of genomic data under non-equilibrium population genetic models. Alignment of gradients with expansion axes is likely to be common in scenarios in which expanding species track their ecological niche during climate change while adapting to changing environments at their rear edge.
Frichot , E , Schoville , S , Pierre , D V , Gaggiotti , O E & Francois , O 2015 , ' Detecting adaptive evolution based on association with ecological gradients : orientation matters ' Heredity , vol. 115 , no. 1 , pp. 22-28 . DOI: doi:10.1038/hdy.2015.7
Copyright 2015. The Authors. This is the author’s version of a work that was accepted for publication in Heredity. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Heredity, 18 February 2015 DOI http://dx.doi.org/10.1038/hdy.2015.7
DescriptionOEG was supported by the Marine Alliance for Science and Technology for Scotland (MASTS).
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