IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v76y2009i1p35-51.html
   My bibliography  Save this article

Perturbation expansions of multilocus fixation probabilities for frequency-dependent selection with applications to the Hill–Robertson effect and to the joint evolution of helping and punishment

Author

Listed:
  • Lehmann, Laurent
  • Rousset, François

Abstract

Natural populations are of finite size and organisms carry multilocus genotypes. There are, nevertheless, few results on multilocus models when both random genetic drift and natural selection affect the evolutionary dynamics. In this paper we describe a formalism to calculate systematic perturbation expansions of moments of allelic states around neutrality in populations of constant size. This allows us to evaluate multilocus fixation probabilities (long-term limits of the moments) under arbitrary strength of selection and gene action. We show that such fixation probabilities can be expressed in terms of selection coefficients weighted by mean first passages times of ancestral gene lineages within a single ancestor. These passage times extend the coalescence times that weight selection coefficients in one-locus perturbation formulas for fixation probabilities. We then apply these results to investigate the Hill–Robertson effect and the coevolution of helping and punishment. Finally, we discuss limitations and strengths of the perturbation approach. In particular, it provides accurate approximations for fixation probabilities for weak selection regimes only (Ns⩽1), but it provides generally good prediction for the direction of selection under frequency-dependent selection.

Suggested Citation

  • Lehmann, Laurent & Rousset, François, 2009. "Perturbation expansions of multilocus fixation probabilities for frequency-dependent selection with applications to the Hill–Robertson effect and to the joint evolution of helping and punishment," Theoretical Population Biology, Elsevier, vol. 76(1), pages 35-51.
  • Handle: RePEc:eee:thpobi:v:76:y:2009:i:1:p:35-51
    DOI: 10.1016/j.tpb.2009.03.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580909000306
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2009.03.006?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. Roze, Denis & Rousset, François, 2008. "Multilocus models in the infinite island model of population structure," Theoretical Population Biology, Elsevier, vol. 73(4), pages 529-542.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takuya Sekiguchi & Hisashi Ohtsuki, 2017. "Fixation Probabilities of Strategies for Bimatrix Games in Finite Populations," Dynamic Games and Applications, Springer, vol. 7(1), pages 93-111, March.
    2. Wakano, Joe Yuichiro & Ohtsuki, Hisashi & Kobayashi, Yutaka, 2013. "A mathematical description of the inclusive fitness theory," Theoretical Population Biology, Elsevier, vol. 84(C), pages 46-55.
    3. Kermany, Amir R. & Lessard, Sabin, 2012. "Effect of epistasis and linkage on fixation probability in three-locus models: An ancestral recombination–selection graph approach," Theoretical Population Biology, Elsevier, vol. 82(2), pages 131-145.
    4. Alger, Ingela & Lehmann, Laurent & Weibull, Jörgen W., 2015. "Does evolution lead to maximizing behavior?," IAST Working Papers 15-20, Institute for Advanced Study in Toulouse (IAST).
    5. Alger, Ingela & Lehmann, Laurent & Weibull, Jörgen W., 2018. "Evolution of preferences in group-structured populations: genes, guns, and culture," TSE Working Papers 18-888, Toulouse School of Economics (TSE), revised Oct 2019.
    6. Van Cleve, Jeremy, 2015. "Social evolution and genetic interactions in the short and long term," Theoretical Population Biology, Elsevier, vol. 103(C), pages 2-26.

    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. Steiner, Ulrich K. & Tuljapurkar, Shripad, 2020. "Drivers of diversity in individual life courses: Sensitivity of the population entropy of a Markov chain," Theoretical Population Biology, Elsevier, vol. 133(C), pages 159-167.
    2. Thomas W. Scott & Alan Grafen & Stuart A. West, 2022. "Multiple social encounters can eliminate Crozier’s paradox and stabilise genetic kin recognition," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    3. Rousset, François & Kirkpatrick, Mark & Guerrero, Rafael F., 2014. "Matrix inversions for chromosomal inversions: A method to construct summary statistics in complex coalescent models," Theoretical Population Biology, Elsevier, vol. 97(C), pages 1-10.
    4. Van Cleve, Jeremy, 2015. "Social evolution and genetic interactions in the short and long term," Theoretical Population Biology, Elsevier, vol. 103(C), pages 2-26.
    5. Bürger, Reinhard, 2010. "Evolution and polymorphism in the multilocus Levene model with no or weak epistasis," Theoretical Population Biology, Elsevier, vol. 78(2), pages 123-138.

    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:76:y:2009:i:1:p:35-51. 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.