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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3733358
- author
- Ripa, Jörgen
LU
and Dieckmann, Ulf
- organization
- publishing date
- 2013
- 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
- pmid:23617908
- ISSN
- 1558-5646
- DOI
- 10.1111/evo.12046
- language
- English
- LU publication?
- yes
- id
- 19d630b3-77cc-4103-bfdb-0b8ad6491518 (old id 3733358)
- date added to LUP
- 2016-04-01 10:51:49
- date last changed
- 2022-01-26 03:12:05
@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}},
keywords = {{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}},
doi = {{10.1111/evo.12046}},
volume = {{67}},
year = {{2013}},
}