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Müller, J. ; Hense, B.A. ; Fuchs, T.M.* ; Utz, M.* ; Pötzsche, C.*

Bet-hedging in stochastically switching environments.

J. Theor. Biol. 336, 144-157 (2013)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
We investigate the evolution of bet-hedging in a population that experiences a stochastically switching environment by means of adaptive dynamics. The aim is to extend known results to the situation at hand, and to deepen the understanding of the range of validity of these results. We find three different types of evolutionarily stable strategies (ESSs) depending on the frequency at which the environment changes: for a rapid change, a monomorphic phenotype adapted to the mean environment; for an intermediate range, a bimorphic bet-hedging phenotype; for slowly changing environments, a monomorphic phenotype adapted to the current environment. While the last result is only obtained by means of heuristic arguments and simulations, the first two results are based on the analysis of Lyapunov exponents for stochastically switching systems.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Adaptive dynamics; Bet-hedging; Lyapunov exponent; Stochastic switching systems; Fluctuating Environments ; Gene-expression ; Evolution ; Selection ; Fitness ; Growth ; Noise ; Rates
Language english
Publication Year 2013
HGF-reported in Year 2013
ISSN (print) / ISBN 0022-5193
e-ISSN 1095-8541
Journal Journal of Theoretical Biology
Quellenangaben Volume: 336, Issue: , Pages: 144-157 Article Number: , Supplement: ,
Publisher Elsevier
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503800-001
PubMed ID 23899941
DOI 10.1016/j.jtbi.2013.07.017
WOS ID WOS:000325387100014
Scopus ID 84883011434
Erfassungsdatum 2013-09-25
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