Menu

Javascript is not activated in your browser. This website needs javascript activated to work properly.
You are here

Multivariate phenotypes and the potential for alternative phenotypic optima in wall lizard (Podarcis muralis) ventral colour morphs

Author:
  • B. Calsbeek
  • Dennis Hasselquist
  • J. Clobert
Publishing year: 2010
Language: English
Pages: 1138-1147
Publication/Series: Journal of evolutionary biology
Volume: 23
Issue: 6
Document type: Journal article
Publisher: John Wiley & Sons

Abstract english

A major goal in evolutionary biology is to determine how phenotypic variation arises and is maintained in natural populations. Recent studies examining the morphological, physiological and behavioural differences among discrete colour morphotypes (morphs) have revealed several mechanisms that maintain discrete variation within populations, including frequency-dependence, density-dependence and correlational selection. For example, trade-offs over resource allocation to morphological, physiological and behavioural traits can drive correlational selection for morph-specific phenotypic optima. Here, we describe a ventral colour polymorphism in the wall lizard (Podarcis muralis) and test the hypothesis that morphs differ along multivariate axes defined by trade-offs in morphological, physiological, and immunological traits. We show that ventral colour is a discrete trait and that morphs differ in body size, prevalence of infection by parasites and infection intensity. We also find that morphs differ along multivariate phenotypic axes and experience different multivariate selection pressures. Our results suggest that multivariate selection pressures may favour alternative optimal morph-specific phenotypes in P. muralis.

Keywords

  • Biological Sciences
  • polymorphism
  • colour signals
  • fitness optima
  • alternative strategies
  • selection

Other

Published
  • Molecular Ecology and Evolution Lab
  • ISSN: 1420-9101
Dennis Hasselquist
E-mail: dennis [dot] hasselquist [at] biol [dot] lu [dot] se

Professor

MEMEG

+46 46 222 37 08

E-C222

50