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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 möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Adaptive dynamics; Bet-hedging; Lyapunov exponent; Stochastic switching systems; Fluctuating Environments ; Gene-expression ; Evolution ; Selection ; Fitness ; Growth ; Noise ; Rates
Sprache englisch
Veröffentlichungsjahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 0022-5193
e-ISSN 1095-8541
Zeitschrift Journal of Theoretical Biology
Quellenangaben Band: 336, Heft: , Seiten: 144-157 Artikelnummer: , Supplement: ,
Verlag Elsevier
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) 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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