title: Fidelity of parent-offspring transmission and the evolution of social behavior in structured populations.
abstract: 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, structured 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 phenotypic 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 altruists on a regular graph may require knowing more than just the graph's size and degree.
authors.affiliation: Centre Interdisciplinaire de Recherche en Biologie (CIRB), Collège de France, CNRS UMR 7241 - Inserm U1050, 11, Place Marcelin Berthelot, 75231 Paris Cedex 05, France. Electronic address: florence.debarre@normalesup.org.
authors.forename: F
authors.initials: F
authors.lastname: Débarre
mesh_terms: D000533:Altruism; D005075:Biological Evolution; D005828:Genetics, Population; D006801:Humans; D009154:Mutation; D011336:Probability; D012641:Selection, Genetic; D012919:Social Behavior
keywords: Altruism; Evolutionary graph theory; Mutation; Relatedness