Related Experiment Videos
Tradeoff between short-term and long-term adaptation in a changing environment
Robert Forster1, Claus O Wilke
1Digital Life Laboratory, California Institute of Technology, Pasadena, California 91125, USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 31, 2005
Summary
This study models competition between microbial or viral strains with alternating environmental strategies. A new model predicts outcomes based on mutation rates and environmental change speed, relevant for arboviruses.
Area of Science:
- Ecology
- Evolutionary Biology
- Microbiology
Background:
- Periodic environmental changes create unique selective pressures on competing populations.
- Microbial and viral strains often exhibit distinct adaptations to different environmental states.
Purpose of the Study:
- To investigate the competition dynamics between two microbial or viral strains in an environment with periodically switching states.
- To develop a predictive model for strain competition outcomes based on environmental switching and adaptation strategies.
Main Methods:
- Extensive numerical simulations were performed to explore competition dynamics.
- A simple analytic model was developed to predict competition outcomes.
Main Results:
- The model successfully predicts the outcome of competitions between strains with differing environmental strategies.
- Competition outcomes are sensitive to mutation rates and the time scale of environmental changes.
Conclusions:
- The developed model provides a framework for understanding strain competition in fluctuating environments.
- This research is particularly relevant for understanding arbovirus dynamics, which involve regular host switching.