Evidence map›Paper›PMID 26419522›Full record

ArticleBMC evolutionary biology2015

Host-parasite coevolution in populations of constant and variable size.

Yixian Song, Chaitanya S Gokhale, Andrei Papkou, Hinrich Schulenburg, Arne Traulsen

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
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  10. Review
  11. The Red Queen and King in finite populations.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yixian SongMax Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, Plön, 24306, Germany. song@evolbio.mpg.de.
Chaitanya S GokhaleNew Zealand Institute for Advanced Study, Massey University, Auckland, New Zealand. C.Gokhale@massey.ac.nz.
Andrei PapkouDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany. apapkou@zoologie.uni-kiel.de.
Hinrich SchulenburgDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany. hschulenburg@zoologie.uni-kiel.de.
Arne TraulsenMax Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, Plön, 24306, Germany. traulsen@evolbio.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe matching-allele and gene-for-gene models are widely used in mathematical approaches that study the dynamics of host-parasite interactions. Agrawal and Lively (Evolutionary Ecology Research 4:79-90, 2002) captured these two models in a single framework and numerically explored the associated time discrete dynamics of allele frequencies.

resultsHere, we present a detailed analytical investigation of this unifying framework in continuous time and provide a generalization. We extend the model to take into account changing population sizes, which result from the antagonistic nature of the interaction and follow the Lotka-Volterra equations. Under this extension, the population dynamics become most complex as the model moves away from pure matching-allele and becomes more gene-for-gene-like. While the population densities oscillate with a single oscillation frequency in the pure matching-allele model, a second oscillation frequency arises under gene-for-gene-like conditions. These observations hold for general interaction parameters and allow to infer generic patterns of the dynamics.

conclusionOur results suggest that experimentally inferred dynamical patterns of host-parasite coevolution should typically be much more complex than the popular illustrations of Red Queen dynamics. A single parasite that infects more than one host can substantially alter the cyclic dynamics.

Indexed as

Biological EvolutionHost-Parasite InteractionsModels, GeneticAnimalsGene FrequencyGenetic FitnessParasitesPopulation DensityPopulation Dynamics

Identifiers

PMID26419522
PMCPMC4589230

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