A TEST OF THE CONJECTURE THAT G‐MATRICES ARE MORE STABLE THAN B‐MATRICES |
| |
Authors: | Brittany S Barker Patrick C Phillips Stevan J Arnold |
| |
Institution: | 1. Department of Biology, University of New Mexico, Albuquerque, New Mexico 87131;2. Department of Zoology, Oregon State University, Corvallis, Oregon 97331;3. E‐mail: barkerbr@unm.edu;4. Center for Ecology and Evolutionary Biology, University of Oregon, Eugene, Oregon 97403 |
| |
Abstract: | The G‐matrix occupies an important position in evolutionary biology both as a summary of the inheritance of quantitative traits and as an ingredient in predicting how those traits will respond to selection and drift. Consequently, the stability of G has an important bearing on the accuracy of predicted evolutionary trajectories. Furthermore, G should evolve in response to stable features of the adaptive landscape and their trajectories through time. Although the stability and evolution of G might be predicted from knowledge of selection in natural populations, most empirical comparisons of G‐matrices have been made in the absence of such a priori predictions. We present a theoretical argument that within‐sex G‐matrices should be more stable than between‐sex B‐matrices because they are more powerfully exposed to multivariate stabilizing selection. We tested this conjecture by comparing estimates of B‐ and within‐sex G‐matrices among three populations of the garter snake Thamnophis elegans. Matrix comparisons using Flury's hierarchical approach revealed that within‐sex G‐matrices had four principal components in common (full CPC), whereas B‐matrices had only a single principal component in common and eigenvalues that were more variable among populations. These results suggest that within‐sex G is more stable than B , as predicted by our theoretical argument. |
| |
Keywords: | Flury hierarchy genetic covariance matrix sexual dimorphism Thamnophis elegans |
|
|