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Rapid adaptive divergence between ecotypes of an aquatic isopod inferred from F-Q analysis.

Publiceringsår: 2009
Språk: Engelska
Sidor: 4912-4923
Publikation/Tidskrift/Serie: Molecular Ecology
Volym: 18
Nummer: 23
Dokumenttyp: Artikel i tidskrift
Förlag: Wiley-Blackwell


Abstract Divergent natural selection is often thought to be the principal factor driving phenotypic differentiation between populations. We studied two ecotypes of the aquatic isopod Asellus aquaticus which have diverged in parallel in several Swedish lakes. In these lakes, isopods from reed belts along the shores colonized new stonewort stands in the centre of the lakes and rapid phenotypic changes in size and pigmentation followed after colonization. We investigated if selection was likely to be responsible for these observed phenotypic changes using indirect inferences of selection (F(ST)-Q(ST) analysis). Average Q(ST) for seven quantitative traits were higher than the average F(ST) between ecotypes for putatively neutral markers (AFLPs). This suggests that divergent natural selection has played an important role during this rapid diversification. In contrast, the average Q(ST) between the different reed ecotype populations was not significantly different from the mean F(ST). Genetic drift could therefore not be excluded as an explanation for the minor differences between allopatric populations inhabiting the same source habitat. We complemented this traditional F(ST)-Q(ST) approach by comparing the F(ST) distributions across all loci (n = 67-71) with the Q(ST) for each of the seven traits. This analysis revealed that pigmentation traits had diverged to a greater extent and at higher evolutionary rates than size-related morphological traits. In conclusion, this extended and detailed type of F(ST)-Q(ST) analysis provides a powerful method to infer adaptive phenotypic divergence between populations. However, indirect inferences about the operation of divergent selection should be analyzed on a per-trait basis and complemented with detailed ecological information.


  • Biological Sciences


  • ISSN: 0962-1083

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