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Mutant invasions and adaptive dynamics in variable environments.

Ripa, Jörgen LU and Dieckmann, Ulf (2013) In Evolution 67(5). p.1279-1290
Abstract
The evolution of natural organisms is ultimately driven by the invasion and possible fixation of mutant alleles. The invasion process is highly stochastic, however, and the probability of success is generally low, even for advantageous alleles. Additionally, all organisms live in a stochastic environment, which may have a large influence on what alleles are favorable, but also contributes to the uncertainty of the invasion process. We calculate the invasion probability of a beneficial, mutant allele in a monomorphic, large population subject to stochastic environmental fluctuations, taking into account density- and frequency-dependent selection, stochastic population dynamics and temporal autocorrelation of the environment. We treat both... (More)
The evolution of natural organisms is ultimately driven by the invasion and possible fixation of mutant alleles. The invasion process is highly stochastic, however, and the probability of success is generally low, even for advantageous alleles. Additionally, all organisms live in a stochastic environment, which may have a large influence on what alleles are favorable, but also contributes to the uncertainty of the invasion process. We calculate the invasion probability of a beneficial, mutant allele in a monomorphic, large population subject to stochastic environmental fluctuations, taking into account density- and frequency-dependent selection, stochastic population dynamics and temporal autocorrelation of the environment. We treat both discrete and continuous time population dynamics, and allow for overlapping generations in the continuous time case. The results can be generalized to diploid, sexually reproducing organisms embedded in communities of interacting species. We further use these results to derive an extended canonical equation of adaptive dynamics, predicting the rate of evolutionary change of a heritable trait on long evolutionary time scales. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Adaptation, fitness, mutations, population biology, population genetics, selection—natural
in
Evolution
volume
67
issue
5
pages
1279 - 1290
publisher
Wiley-Blackwell
external identifiers
  • wos:000318234900004
  • pmid:23617908
  • scopus:84876847026
ISSN
1558-5646
DOI
10.1111/evo.12046
project
BECC
language
English
LU publication?
yes
id
19d630b3-77cc-4103-bfdb-0b8ad6491518 (old id 3733358)
date added to LUP
2013-05-14 15:18:44
date last changed
2019-01-06 04:53:27
@article{19d630b3-77cc-4103-bfdb-0b8ad6491518,
  abstract     = {The evolution of natural organisms is ultimately driven by the invasion and possible fixation of mutant alleles. The invasion process is highly stochastic, however, and the probability of success is generally low, even for advantageous alleles. Additionally, all organisms live in a stochastic environment, which may have a large influence on what alleles are favorable, but also contributes to the uncertainty of the invasion process. We calculate the invasion probability of a beneficial, mutant allele in a monomorphic, large population subject to stochastic environmental fluctuations, taking into account density- and frequency-dependent selection, stochastic population dynamics and temporal autocorrelation of the environment. We treat both discrete and continuous time population dynamics, and allow for overlapping generations in the continuous time case. The results can be generalized to diploid, sexually reproducing organisms embedded in communities of interacting species. We further use these results to derive an extended canonical equation of adaptive dynamics, predicting the rate of evolutionary change of a heritable trait on long evolutionary time scales.},
  author       = {Ripa, Jörgen and Dieckmann, Ulf},
  issn         = {1558-5646},
  keyword      = {Adaptation,fitness,mutations,population biology,population genetics,selection—natural},
  language     = {eng},
  number       = {5},
  pages        = {1279--1290},
  publisher    = {Wiley-Blackwell},
  series       = {Evolution},
  title        = {Mutant invasions and adaptive dynamics in variable environments.},
  url          = {http://dx.doi.org/10.1111/evo.12046},
  volume       = {67},
  year         = {2013},
}