title: Fixation probabilities in evolutionary game dynamics with a two-strategy game in finite diploid populations.
abstract: Fixation processes in evolutionary game dynamics in finite diploid populations are investigated. Traditionally, frequency dependent evolutionary dynamics is modeled as deterministic replicator dynamics. This implies that the infinite size of the population is assumed implicitly. In nature, however, population sizes are finite. Recently, stochastic processes in finite populations have been introduced in order to study finite size effects in evolutionary game dynamics. One of the most significant studies on evolutionary dynamics in finite populations was carried out by Nowak et al. which describes "one-third law" [Nowak, et al., 2004. Emergence of cooperation and evolutionary stability in finite populations. Nature 428, 646-650]. It states that under weak selection, if the fitness of strategy alpha is greater than that of strategy beta when alpha has a frequency 13, strategy alpha fixates in a beta-population with selective advantage. In their study, it is assumed that the inheritance of strategies is asexual, i.e. the population is haploid. In this study, we apply their framework to a diploid population that plays a two-strategy game with two ESSs (a bistable game). The fixation probability of a mutant allele in this diploid population is derived. A "three-tenth law" for a completely recessive mutant allele and a "two-fifth law" for a completely dominant mutant allele are found; other cases are also discussed.
authors.affiliation: Aihara Complexity Modelling Project, ERATO, JST, Tokyo 153-8505, Japan. koh.hashimoto@riken.jp
authors.forename: Koh
authors.initials: K
authors.lastname: Hashimoto
authors.forename: Kazuyuki
authors.initials: K
authors.lastname: Aihara
mesh_terms: D000483:Alleles; D000818:Animals; D005075:Biological Evolution; D004171:Diploidy; D005716:Game Theory; D005788:Gene Pool; D008957:Models, Genetic; D009154:Mutation; D011157:Population Dynamics; D011336:Probability