Document Detail


Tradeoff between short-term and long-term adaptation in a changing environment.
MedLine Citation:
PMID:  16383435     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We investigate the competition dynamics of two microbial or viral strains that live in an environment that switches periodically between two states. One of the strains is adapted to the long-term environment, but pays a short-term cost, while the other is adapted to the short-term environment and pays a cost in the long term. We explore the tradeoff between these alternative strategies in extensive numerical simulations and present a simple analytic model that can predict the outcome of these competitions as a function of the mutation rate and the time scale of the environmental changes. Our model is relevant for arboviruses, which alternate between different host species on a regular basis.
Authors:
Robert Forster; Claus O Wilke
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2005-10-20
Journal Detail:
Title:  Physical review. E, Statistical, nonlinear, and soft matter physics     Volume:  72     ISSN:  1539-3755     ISO Abbreviation:  Phys Rev E Stat Nonlin Soft Matter Phys     Publication Date:  2005 Oct 
Date Detail:
Created Date:  2005-12-30     Completed Date:  2006-04-13     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  101136452     Medline TA:  Phys Rev E Stat Nonlin Soft Matter Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  041922     Citation Subset:  IM    
Affiliation:
Digital Life Laboratory, California Institute of Technology, Pasadena, California 91125, USA.
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MeSH Terms
Descriptor/Qualifier:
Adaptation, Physiological / genetics*
Bacteria / genetics*
Computer Simulation
Ecosystem*
Evolution*
Genetics, Population*
Models, Genetic
Mutation
Population Dynamics*
Selection, Genetic
Species Specificity
Time Factors
Viruses / genetics*
Grant Support
ID/Acronym/Agency:
AI 065960/AI/NIAID NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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