Lotka-Volterra dynamics kills the Red Queen: population size fluctuations and associated stochasticity dramatically change host-parasite coevolution.

Gokhale, C. S., Papkou, A., Traulsen, A. and Schulenburg, Hinrich (2013) Lotka-Volterra dynamics kills the Red Queen: population size fluctuations and associated stochasticity dramatically change host-parasite coevolution. Bmc Evolutionary Biology, 13 . DOI 10.1186/1471-2148-13-254.

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Supplementary data:

Abstract

Background
Host-parasite coevolution is generally believed to follow Red Queen dynamics consisting of ongoing oscillations in the frequencies of interacting host and parasite alleles. This belief is founded on previous theoretical work, which assumes infinite or constant population size. To what extent are such sustained oscillations realistic?
Results
Here, we use a related mathematical modeling approach to demonstrate that ongoing Red Queen dynamics is unlikely. In fact, they collapse rapidly when two critical pieces of realism are acknowledged: (i) population size fluctuations, caused by the antagonism of the interaction in concordance with the Lotka-Volterra relationship; and (ii) stochasticity, acting in any finite population. Together, these two factors cause fast allele fixation. Fixation is not restricted to common alleles, as expected from drift, but also seen for originally rare alleles under a wide parameter space, potentially facilitating spread of novel variants.
Conclusion
Our results call for a paradigm shift in our understanding of host-parasite coevolution, strongly suggesting that these are driven by recurrent selective sweeps rather than continuous allele oscillations.

Document Type: Article
Additional Information: Times Cited: 1 Gokhale, Chaitanya S. Papkou, Andrei Traulsen, Arne Schulenburg, Hinrich
Keywords: Host-parasite coevolution Red Queen hypothesis Lotka-Volterra dynamics Genetic drift Population bottleneck
Research affiliation: Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Refereed: Yes
Open Access Journal?: Yes
DOI etc.: 10.1186/1471-2148-13-254
ISSN: 1471-2148
Projects: Future Ocean
Date Deposited: 08 Jul 2014 09:20
Last Modified: 22 Jul 2019 11:13
URI: http://oceanrep.geomar.de/id/eprint/24934

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