Translator Disclaimer
1 June 2008 Q st Meets the G Matrix: The Dimensionality of Adaptive Divergence in Multiple Correlated Quantitative Traits
Author Affiliations +
Abstract

The QSTFST 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 QSTFST 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.

Stephen F. Chenoweth and MarkW. Blows "Q st Meets the G Matrix: The Dimensionality of Adaptive Divergence in Multiple Correlated Quantitative Traits," Evolution 62(6), 1437-1449, (1 June 2008). https://doi.org/10.1111/j.1558-5646.2008.00374.x
Received: 20 December 2007; Accepted: 21 February 2008; Published: 1 June 2008
JOURNAL ARTICLE
13 PAGES

This article is only available to subscribers.
It is not available for individual sale.
+ SAVE TO MY LIBRARY

SHARE
ARTICLE IMPACT
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top