Fidelity of parent-offspring transmission and the evolution of social behavior in structured populations

Florence Débarre (1)

1 CIRB - Centre interdisciplinaire de recherche en biologie

The theoretical investigation of how spatial structure affects the evolution of social behavior has mostly been done under the assumption that parent-offspring strategy transmission is perfect, i.e., for genetically transmitted traits, that mutation is very weak or absent. Here, we investigate the evolution of social behavior in structured populations under arbitrary mutation probabilities. We consider populations of fixed size N , struc-tured such that in the absence of selection, all individuals have the same probability of reproducing or dying (neutral reproductive values are the all same). Two types of individuals, A and B , corresponding to two types of social behavior, are competing; the fidelity of strategy transmission from parent to offspring is tuned by a parameter µ. Social interactions have a direct effect on individual fecundities. Under the assumption of small phe-notypic differences (implying weak selection), we provide a formula for the expected frequency of type A individuals in the population, and deduce conditions for the long-term success of one strategy against another. We then illustrate our results with three common life-cycles (Wright-Fisher, Moran Birth-Death and Moran Death-Birth), and specific population structures (graph-structured populations). Qualitatively, we find that some life-cycles (Moran Birth-Death, Wright-Fisher) prevent the evolution of altruistic behavior, confirming previous results obtained with perfect strategy transmission. We also show that computing the expected frequency of al-truists on a regular graph may require knowing more than just the graph's size and degree.

Mots clés: mutation; relatedness; altruism; evolutionary graph theory

Domaines: Evolution [q-bio.PE]

Florence Débarre. Fidelity of parent-offspring transmission and the evolution of social behavior in structured populations. Journal of Theoretical Biology, 2017, 420, pp.26 - 35. ⟨10.1016/j.jtbi.2017.02.027⟩. ⟨hal-01484829⟩