Literature DB >> 20924797

Environmental fluctuations and level of density-compensation strongly affects the probability of fixation and fixation times.

M Björklund1, E Ranta, V Kaitala, L A Bach, P Lundberg.   

Abstract

The probability of, and time to, fixation of a mutation in a population has traditionally been studied by the classic Wright-Fisher model where population size is constant. Recent theoretical expansions have covered fluctuating populations in various ways but have not incorporated models of how the environment fluctuates in combination with different levels of density-compensation affecting fecundity. We tested the hypothesis that the probability of, and time to, fixation of neutral, advantageous and deleterious mutations is dependent on how the environment fluctuates over time, and on the level of density-compensation. We found that fixation probabilities and times were dependent on the pattern of autocorrelation of carrying capacity over time and interacted with density-compensation. The pattern found was most pronounced at small population sizes. The patterns differed greatly depending on whether the mutation was neutral, advantageous, or disadvantageous. The results indicate that the degree of mismatch between carrying capacity and population size is a key factor, rather than population size per se, and that effective population sizes can be very low also when the census population size is far above the carrying capacity. This study highlights the need for explicit population dynamic models and models for environmental fluctuations for the understanding of the dynamics of genes in populations.

Mesh:

Year:  2010        PMID: 20924797     DOI: 10.1007/s11538-010-9587-3

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  1 in total

1.  Scaling of the mean and variance of population dynamics under fluctuating regimes.

Authors:  Cino Pertoldi; S Faurby; D H Reed; J Knape; M Björklund; P Lundberg; V Kaitala; V Loeschcke; L A Bach
Journal:  Theory Biosci       Date:  2014-03-26       Impact factor: 1.919

  1 in total

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