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Published on: May 13, 2019
The geographic structure of pathogen resistance phenotypes under balancing selection
Dieter Ebert1, Michelle Krebs1
1Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland.
Summary
The Red Queen model explains host-parasite coevolution. Resistance to the pathogen Pasteuria ramosa in Daphnia magna showed an even geographic distribution, supporting this model of negative frequency-dependent selection.
Area of Science:
- Evolutionary biology
- Ecology
- Genetics
Background:
- The Red Queen model describes host-parasite coevolution driven by negative frequency-dependent selection.
- This model is often invoked to explain high genetic diversity and trans-species polymorphisms in disease genes.
- Previous studies showed reduced spatial differentiation at disease genes, but the geographic distribution of resistance phenotypes remained unstudied.
Purpose of the Study:
- To investigate the geographic distribution of host resistance phenotypes.
- To test predictions of the Red Queen model regarding the spatial distribution of traits under balancing selection.
Main Methods:
- Analysis of resistance phenotypes in 236 Daphnia magna populations across 4 continents.
- Testing these populations against 14 isolates of the pathogen Pasteuria ramosa.
- Examining the geographic distribution of resistance phenotypes in relation to host population structure and isolation by distance.
Main Results:
- Resistance phenotypes to Pasteuria ramosa were evenly distributed geographically across continents.
- No significant isolation by distance was observed for resistance phenotypes.
- Little variation in resistance phenotypes was found among different host phylogeographic clades.
Conclusions:
- The even geographic distribution of resistance phenotypes strongly supports the Red Queen model of antagonistic coevolution.
- Findings align with expectations for traits under balancing selection, where phenotypes are expected to be widespread.
- This study highlights the importance of studying phenotype distribution in the context of coevolutionary dynamics.
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