Literature DB >> 15882701

Stochastic evolutionary dynamics on two levels.

Arne Traulsen1, Anirvan M Sengupta, Martin A Nowak.   

Abstract

We consider a population that is subdivided into groups. Individuals reproduce proportional to their fitness. When a group reaches a certain size it has a probability to split into two groups while another group is eliminated. In this stochastic process, the number of groups is constant, while the total population size fluctuates between well-defined bounds. We calculate the fixation probability of newly introduced mutants under constant selection. We show that the described population structure acts as a suppressor of selection compared to an unstructured population of the same size. The maximum suppression of selection is obtained, when the number of groups equals the number of individuals per group. We also study opposing selection on two or more levels by analysing the evolutionary dynamics of hierarchically embedded Moran processes.

Mesh:

Year:  2005        PMID: 15882701     DOI: 10.1016/j.jtbi.2005.01.019

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

1.  Transforming the dilemma.

Authors:  Christine Taylor; Martin A Nowak
Journal:  Evolution       Date:  2007-08-17       Impact factor: 3.694

2.  The effect of population structure on the rate of evolution.

Authors:  Marcus Frean; Paul B Rainey; Arne Traulsen
Journal:  Proc Biol Sci       Date:  2013-05-15       Impact factor: 5.349

Review 3.  The remarkable discreteness of being.

Authors:  Bahram Houchmandzadeh
Journal:  J Biosci       Date:  2014-04       Impact factor: 1.826

4.  Analytical results for individual and group selection of any intensity.

Authors:  Arne Traulsen; Noam Shoresh; Martin A Nowak
Journal:  Bull Math Biol       Date:  2008-04-02       Impact factor: 1.758

5.  Counterintuitive properties of the fixation time in network-structured populations.

Authors:  Laura Hindersin; Arne Traulsen
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

  5 in total

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