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Time-shift experiments and patterns of adaptation across time and space.
MedLine Citation:
PMID:  23034076     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Time-shift experiments provide measures of the mean fitness of a population in environments of different points in time. Here, we show how to use this type of data to decompose mean fitness into (1) the effect of the environment in which the population is transplanted, (2) the effect of the genetic composition of the population and (3) 'temporal adaptation', which measures how the population fits the environment at that time. We derive analytical results for the pattern of 'temporal adaptation' and show that it is in general maximal in the recent past. The link between 'temporal adaptation' and 'local adaptation' is discussed, and we show when patterns of adaptation in time and space are expected to be similar. Finally, we illustrate the potential use of this approach using a data set measuring the adaptation of HIV to the immune response of several recently infected patients.
Authors:
François Blanquart; Sylvain Gandon; Colleen Webb
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Publication Detail:
Type:  LETTER     Date:  2012-10-4
Journal Detail:
Title:  Ecology letters     Volume:  -     ISSN:  1461-0248     ISO Abbreviation:  Ecol. Lett.     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101121949     Medline TA:  Ecol Lett     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2012 Blackwell Publishing Ltd/CNRS.
Affiliation:
Centre d'Ecologie Fonctionnelle et Evolutive, Unité Mixte de Recherche 5175, 1919 route de Mende, 34293, Montpellier Cedex 5, France.
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