Literature DB >> 19817845

Fixation of slightly beneficial mutations: effects of life history.

Yngvild Vindenes1, Aline Magdalena Lee, Steinar Engen, Bernt-Erik Saether.   

Abstract

Recent studies of rates of evolution have revealed large systematic differences among organisms with different life histories, both within and among taxa. Here, we consider how life history may affect the rate of evolution via its influence on the fixation probability of slightly beneficial mutations. Our approach is based on diffusion modeling for a finite, stage-structured population with stochastic population dynamics. The results, which are verified by computer simulations, demonstrate that even with complex population structure just two demographic parameters are sufficient to give an accurate approximation of the fixation probability of a slightly beneficial mutation. These are the reproductive value of the stage in which the mutation first occurs and the demographic variance of the population. The demographic variance also determines what influence population size has on the fixation probability. This model represents a substantial generalization of earlier models, covering a large range of life histories.

Mesh:

Year:  2009        PMID: 19817845     DOI: 10.1111/j.1558-5646.2009.00868.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  5 in total

1.  The relation between reproductive value and genetic contribution.

Authors:  Nicholas H Barton; Alison M Etheridge
Journal:  Genetics       Date:  2011-05-30       Impact factor: 4.562

2.  How Life History Can Sway the Fixation Probability of Mutants.

Authors:  Xiang-Yi Li; Shun Kurokawa; Stefano Giaimo; Arne Traulsen
Journal:  Genetics       Date:  2016-04-29       Impact factor: 4.562

3.  Evolution of aging through reduced demographic stochasticity - an extension of the pleiotropy theory to finite populations.

Authors:  Stefano Giaimo
Journal:  Ecol Evol       Date:  2013-12-21       Impact factor: 2.912

4.  Invasion and effective size of graph-structured populations.

Authors:  Stefano Giaimo; Jordi Arranz; Arne Traulsen
Journal:  PLoS Comput Biol       Date:  2018-11-12       Impact factor: 4.475

5.  The Effect of Post-Reproductive Lifespan on the Fixation Probability of Beneficial Mutations.

Authors:  Stefano Giaimo; Annette Baudisch
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

  5 in total

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