4.4 Article

Interactions between Genetic Drift, Gene Flow, and Selection Mosaics Drive Parasite Local Adaptation

Journal

AMERICAN NATURALIST
Volume 173, Issue 2, Pages 212-224

Publisher

UNIV CHICAGO PRESS
DOI: 10.1086/593706

Keywords

host-parasite coevolution; local adaptation; metapopulation; migration; spatial heterogeneity; genetic drift

Funding

  1. Centre National de la Recherche Scientifique
  2. Agence Nationale de la Recherche (ANR)
  3. National Science Foundation [DEB 0343023, DMS 0540392]

Ask authors/readers for more resources

Interactions between gene flow, spatially variable selection, and genetic drift have long been a central focus of evolutionary research. In contrast, only recently has the potential importance of interactions between these factors for coevolutionary dynamics and the emergence of parasite local adaptation been realized. Here we study host-parasite coevolution in a metapopulation model when both the biotic and the abiotic components of the environment vary in space. We provide a general expression for parasite local adaptation that allows local adaptation to be partitioned into the contributions of spatial covariances between host and parasite genotype frequencies within and between habitats. This partitioning clarifies how relative rates of gene flow, spatially variable patterns of selection, and genetic drift interact to shape parasite local adaptation. Specifically, by using this expression in conjunction with coevolutionary models, we show that genetic drift can dramatically increase the level of parasite local adaptation under some models of specificity. We also show that the effect of migration on parasite local adaptation depends on the geographic mosaic of selection. We discuss how these predictions could be tested empirically or experimentally using microbial systems.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available