Tradeoff between short-term and long-term adaptation in a changing environment.
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.
Forster
Robert
R
Digital Life Laboratory, California Institute of Technology, Pasadena, California 91125, USA.
Wilke
Claus O
CO
D000222:Adaptation, Physiological / Q000235:genetics*; D001419:Bacteria / Q000235:genetics*; D005075:Biological Evolution; D003198:Computer Simulation; D017753:Ecosystem; D005828:Genetics, Population; D008957:Models, Genetic; D009154:Mutation; D011157:Population Dynamics; D012641:Selection, Genetic; D013045:Species Specificity; D013997:Time Factors; D014780:Viruses / Q000235:genetics*