Inferring local adaptation from Q ST – F ST comparisons: neutral genetic and quantitative trait variation in European populations of great snipe

Abstract We applied a phenotypic Q ST ( P ST ) vs. F ST approach to study spatial variation in selection among great snipe ( Gallinago media ) populations in two regions of northern Europe. Morphological divergence between regions was high despite low differentiation in selectively neutral genetic m...

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Bibliographic Details
Published in:Journal of Evolutionary Biology
Main Authors: SÆTHER, S. A., FISKE, P., KÅLÅS, J. A., KURESOO, A., LUIGUJÕE, L., PIERTNEY, S. B., SAHLMAN, T., HÖGLUND, J.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2007
Subjects:
Ecology, Evolution, Behavior and Systematics
Gallinago media
great snipe
Online Access:http://dx.doi.org/10.1111/j.1420-9101.2007.01328.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1420-9101.2007.01328.x
https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1420-9101.2007.01328.x
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Summary:Abstract We applied a phenotypic Q ST ( P ST ) vs. F ST approach to study spatial variation in selection among great snipe ( Gallinago media ) populations in two regions of northern Europe. Morphological divergence between regions was high despite low differentiation in selectively neutral genetic markers, whereas populations within regions showed very little neutral divergence and trait differentiation. Q ST > F ST was robust against altering assumptions about the additive genetic proportions of variance components. The homogenizing effect of gene flow (or a short time available for neutral divergence) has apparently been effectively counterbalanced by differential natural selection, although one trait showed some evidence of being under uniform stabilizing selection. Neutral markers can hence be misleading for identifying evolutionary significant units, and adopting the P ST – F ST approach might therefore be valuable when common garden experiments is not an option. We discuss the statistical difficulties of documenting uniform selection as opposed to divergent selection, and the need for estimating measurement error. Instead of only comparing overall Q ST and F ST values, we advocate the use of partial matrix permutation tests to analyse pairwise Q ST differences among populations, while statistically controlling for neutral differentiation.

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