IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v137y2021icp10-21.html
   My bibliography  Save this article

Coevolution fails to maintain genetic variation in a host–parasite model with constant finite population size

Author

Listed:
  • MacPherson, Ailene
  • Keeling, Matthew J.
  • Otto, Sarah P.

Abstract

Coevolutionary negative frequency-dependent selection has been hypothesized to maintain genetic variation in host and parasites. Despite the extensive literature pertaining to host–parasite coevolution, the temporal dynamics of genetic variation have not been examined in a matching-alleles model (MAM) with a finite population size relative to the expectation under neutral genetic drift alone. The dynamics of the MA coevolution in an infinite population, in fact, suggests that genetic variation in these coevolving populations behaves neutrally. By comparing host heterozygosity to the expectation in a single-species model of neutral genetic drift we find that while this is also largely true in finite populations two additional phenomena arise. First, reciprocal natural selection acting on stochastic perturbations in host and pathogen allele frequencies results in a slight increase or decrease in genetic variation depending on the parameter conditions. Second, following the fixation of an allele in the parasite, selection in the MAM becomes directional, which then rapidly erodes genetic variation in the host. Hence, rather than maintain it, we find that, on average, matching-alleles coevolution depletes genetic variation.

Suggested Citation

  • MacPherson, Ailene & Keeling, Matthew J. & Otto, Sarah P., 2021. "Coevolution fails to maintain genetic variation in a host–parasite model with constant finite population size," Theoretical Population Biology, Elsevier, vol. 137(C), pages 10-21.
  • Handle: RePEc:eee:thpobi:v:137:y:2021:i:c:p:10-21
    DOI: 10.1016/j.tpb.2020.12.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580920300836
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2020.12.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. MacPherson, Ailene & Otto, Sarah P., 2018. "Joint coevolutionary–epidemiological models dampen Red Queen cycles and alter conditions for epidemics," Theoretical Population Biology, Elsevier, vol. 122(C), pages 137-148.
    2. M’Gonigle, L.K. & Shen, J.J. & Otto, S.P., 2009. "Mutating away from your enemies: The evolution of mutation rate in a host–parasite system," Theoretical Population Biology, Elsevier, vol. 75(4), pages 301-311.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liberman, Uri & Behar, Hilla & Feldman, Marcus W., 2016. "Evolution of reduced mutation under frequency-dependent selection," Theoretical Population Biology, Elsevier, vol. 112(C), pages 52-59.
    2. Greenspoon, Philip B. & Mideo, Nicole, 2017. "Evolutionary rescue of a parasite population by mutation rate evolution," Theoretical Population Biology, Elsevier, vol. 117(C), pages 64-75.
    3. Shen, Hao & Liberman, Uri & Feldman, Marcus W., 2020. "Evolution of transmission modifiers under frequency-dependent selection and transmission in constant or fluctuating environments," Theoretical Population Biology, Elsevier, vol. 135(C), pages 56-63.
    4. Blanquart, François, 2014. "The demography of a metapopulation in an environment changing in time and space," Theoretical Population Biology, Elsevier, vol. 94(C), pages 1-9.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:137:y:2021:i:c:p:10-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.