Document Detail

Tradeoff between short-term and long-term adaptation in a changing environment.
MedLine Citation:
PMID:  16383435     Owner:  NLM     Status:  MEDLINE    
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.
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    
Digital Life Laboratory, California Institute of Technology, Pasadena, California 91125, USA.
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MeSH Terms
Adaptation, Physiological / genetics*
Bacteria / genetics*
Computer Simulation
Genetics, Population*
Models, Genetic
Population Dynamics*
Selection, Genetic
Species Specificity
Time Factors
Viruses / genetics*
Grant Support

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

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