Qst meets the G matrix: The dimensionality of adaptive divergence in multiple correlated quantitative traits

Chenoweth, Stephen F. and Blows, Mark W. (2008) Qst meets the G matrix: The dimensionality of adaptive divergence in multiple correlated quantitative traits. Evolution, 62 6: 1437-1449. doi:10.1111/j.1558-5646.2008.00374.x


Author Chenoweth, Stephen F.
Blows, Mark W.
Title Qst meets the G matrix: The dimensionality of adaptive divergence in multiple correlated quantitative traits
Formatted title
Qst meets the G matrix: The dimensionality of adaptive divergence in multiple correlated quantitative traits
Journal name Evolution   Check publisher's open access policy
ISSN 0014-3820
1558-5646
Publication date 2008-06-01
Sub-type Article (original research)
DOI 10.1111/j.1558-5646.2008.00374.x
Volume 62
Issue 6
Start page 1437
End page 1449
Total pages 13
Place of publication Lancaster, U.S.
Publisher Society for the Study of Evolution
Language eng
Subject C1
970106 Expanding Knowledge in the Biological Sciences
060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
060303 Biological Adaptation
0603 Evolutionary Biology
Formatted abstract
The QST–FST comparison has become an increasingly common method for inferring adaptive quantitative trait divergence among populations. For cases in which there is divergence in multiple traits, most studies have applied the method by performing multiple univariate QST–FST comparisons. However, because traits are often genetically correlated, such univariate analyses are likely to paint a simplified picture of adaptive divergence. Here we show how the multivariate analogue of QST, FSTq, which accounts for genetic correlations among traits, can be used to supply a more detailed picture of multitrait divergence. We apply the method to naturally occurring genetic variation for a suite of sexually selected display traits in Drosophila serrata. The analyses suggest the operation of divergent multivariate selection that has influenced multiple independent axes of genetic variance in a sex-specific manner. Finally, we show how a comparison of the components of FSTq, the average within and among population genetic variance–covariance matrices, GW and GB, can be used as an additional test of the null expectation of neutral divergence, and allows for an investigation of whether natural populations have diverged along major or minor axes of genetic variance.
Keyword Adaptation
Clines
Cuticular hydrocarbons
Drosophila serrata
Natural selection
Quantitative traits
Sexual selection
Q-Index Code C1
Q-Index Status Confirmed Code

 
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Created: Fri, 30 Jan 2009, 03:27:21 EST by Gail Walter on behalf of School of Biological Sciences