Literature DB >> 24472233

Nonlinear group survival in Kimura's model for the evolution of altruism.

José F Fontanari1, Maurizio Serva2.   

Abstract

Establishing the conditions that guarantee the spreading or the sustenance of altruistic traits in a population is the main goal of intergroup selection models. Of particular interest is the balance of the parameters associated to group size, migration and group survival against the selective advantage of the non-altruistic individuals. Here we use Kimura's diffusion model of intergroup selection to determine those conditions in the case the group survival rate is a nonlinear non-decreasing function of the proportion of altruists in a group. In the case this function is linear, there are two possible steady states which correspond to the non-altruistic and the altruistic phases. At the discontinuous transition line separating these phases there is a non-ergodic coexistence phase. For a continuous concave survival function, we find an ergodic coexistence phase that occupies a finite region of the parameter space in between the altruistic and the non-altruistic phases, and is separated from these phases by continuous transition lines. For a convex survival function, the coexistence phase disappears altogether but a bistable phase appears for which the choice of the initial condition determines whether the evolutionary dynamics leads to the altruistic or the non-altruistic steady state.
Copyright © 2014 Elsevier Inc. All rights reserved.

Keywords:  Diffusion approximation; Evolution of altruism; Group selection; Migration; Population genetics

Mesh:

Year:  2014        PMID: 24472233     DOI: 10.1016/j.mbs.2014.01.003

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  1 in total

1.  A scaling law of multilevel evolution: how the balance between within- and among-collective evolution is determined.

Authors:  Nobuto Takeuchi; Namiko Mitarai; Kunihiko Kaneko
Journal:  Genetics       Date:  2022-02-04       Impact factor: 4.402

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.