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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

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  • 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
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    References listed on IDEAS

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    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.
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    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. 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.
    3. Alger, Ingela & Lehmann, Laurent & Weibull, Jörgen W., 2015. "Does evolution lead to maximizing behavior?," TSE Working Papers 15-561, Toulouse School of Economics (TSE).
    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. 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.
    6. 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.

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