Host-parasite coevolutionary dynamics with generalized success/failure infection genetics

Engelstaedter, Jan (2015) Host-parasite coevolutionary dynamics with generalized success/failure infection genetics. The American Naturalist, 185 5: E117-E129. doi:10.1086/680476

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Author Engelstaedter, Jan
Title Host-parasite coevolutionary dynamics with generalized success/failure infection genetics
Journal name The American Naturalist   Check publisher's open access policy
ISSN 0003-0147
Publication date 2015-05-01
Year available 2015
Sub-type Article (original research)
DOI 10.1086/680476
Open Access Status File (Publisher version)
Volume 185
Issue 5
Start page E117
End page E129
Total pages 13
Place of publication Chicago, IL United States
Publisher University of Chicago Press
Language eng
Abstract Host-parasite infection genetics can be more complex than envisioned by classic models such as the gene-for-gene or matching-allele models. By means of a mathematical model, I investigate the coevolutionary dynamics arising from a large set of generalized models of infection genetics in which hosts are either fully resistant or fully susceptible to a parasite, depending on the genotype of both individuals. With a single diploid interaction locus in the hosts, many of the infection genetic models produce stable or neutrally stable genotype polymorphisms. However, only a few models, which are all different versions of the matching-allele model, lead to sustained cycles of genotype frequency fluctuations in both interacting species (“Red Queen” dynamics). By contrast, with two diploid interaction loci in the hosts, many infection genetics models that cannot be classified as one of the standard infection genetics models produce Red Queen dynamics. Sexual versus asexual reproduction and, in the former case, the rate of recombination between the interaction loci have a large impact on whether Red Queen dynamics arise from a given infection genetics model. This may have interesting but as yet unexplored implications with respect to the Red Queen hypothesis for the evolution of sex.
Keyword Matching allele
Gene for gene
Red Queen hypothesis
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID PZ00P3_132934
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Biological Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
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Created: Sun, 26 Apr 2015, 09:45:28 EST by Jan Engelstaedter on behalf of School of Biological Sciences