Literature DB >> 28949168

Bet Hedging against Demographic Fluctuations.

BingKan Xue1, Stanislas Leibler1,2.   

Abstract

Biological organisms have to cope with stochastic variations in both the external environment and the internal population dynamics. Theoretical studies and laboratory experiments suggest that population diversification could be an effective bet-hedging strategy for adaptation to varying environments. Here we show that bet hedging can also be effective against demographic fluctuations that pose a trade-off between growth and survival for populations even in a constant environment. A species can maximize its overall abundance in the long term by diversifying into coexisting subpopulations of both "fast-growing" and "better-surviving" individuals. Our model generalizes statistical physics models of birth-death processes to incorporate dispersal, during which new populations are founded, and can further incorporate variations of local environments. In this way, we unify different bet-hedging strategies against demographic and environmental variations as a general means of adaptation to both types of uncertainties in population growth.

Entities:  

Mesh:

Year:  2017        PMID: 28949168     DOI: 10.1103/PhysRevLett.119.108103

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  7 in total

1.  Eco-evolutionary dynamics of a population with randomly switching carrying capacity.

Authors:  Karl Wienand; Erwin Frey; Mauro Mobilia
Journal:  J R Soc Interface       Date:  2018-08       Impact factor: 4.118

2.  The impact of bottlenecks on microbial survival, adaptation, and phenotypic switching in host-pathogen interactions.

Authors:  Richard Moxon; Edo Kussell
Journal:  Evolution       Date:  2017-10-30       Impact factor: 3.694

3.  Persistence as an Optimal Hedging Strategy.

Authors:  Alexander P Browning; Jesse A Sharp; Tarunendu Mapder; Christopher M Baker; Kevin Burrage; Matthew J Simpson
Journal:  Biophys J       Date:  2020-11-28       Impact factor: 4.033

4.  Contrasting the impact of cytotoxic and cytostatic drug therapies on tumour progression.

Authors:  Jani V Anttila; Mikhail Shubin; Johannes Cairns; Florian Borse; Qingli Guo; Tommi Mononen; Ignacio Vázquez-García; Otto Pulkkinen; Ville Mustonen
Journal:  PLoS Comput Biol       Date:  2019-11-18       Impact factor: 4.475

5.  Drug-induced resistance evolution necessitates less aggressive treatment.

Authors:  Teemu Kuosmanen; Johannes Cairns; Robert Noble; Niko Beerenwinkel; Tommi Mononen; Ville Mustonen
Journal:  PLoS Comput Biol       Date:  2021-09-23       Impact factor: 4.475

6.  Impact of environmental colored noise in single-species population dynamics.

Authors:  Tommaso Spanio; Jorge Hidalgo; Miguel A Muñoz
Journal:  Phys Rev E       Date:  2017-10-02       Impact factor: 2.529

7.  Temporal fluctuations in chemotaxis gain implement a simulated-tempering strategy for efficient navigation in complex environments.

Authors:  Omer Karin; Uri Alon
Journal:  iScience       Date:  2021-06-28
  7 in total

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