The Role of Migration in the Evolution of Phenotypic Switching
Abstract
Stochastic switching is an example of phenotypic bet-hedging, where an individual can switch between different phenotypic states in a fluctuating environment. Although the evolution of stochastic switching has been studied when the environment varies temporally, there has been little theoretical work on the evolution of phenotypic switching under both spatially and temporally fluctuating selection pressures. Here we use a population genetic model to explore the interaction of temporal and spatial variation in the evolutionary dynamics of phenotypic switching. We find that spatial variation in selection is important; when selection pressures are similar across space, migration can decrease the rate of switching, but when selection pressures differ spatially, increasing migration between demes can facilitate the evolution of higher rates of switching. These results may help explain the diverse array of non-genetic contributions to phenotypic variability and phenotypic inheritance observed in both wild and experimental populations.
02 /Specification & Classification
Click any tag to browse matching papers- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The evolution of genetic diversity in changing environments
Oana Carja, Uri Liberman, Marcus W. Feldman·Proceedings of the National Academy of SciencesPeer-reviewed·Nov 26, 2014
- Bet-hedging strategies in expanding populations
P. Villa Martin, M. A. Munoz, S. Pigolotti·bioRxiv·Sep 27, 2018
- Phenotype switching of the mutation rate as a strategy for crossing fitness valleys
Y. Ram, Y. T. Pilpel, G. A. Lobinska·bioRxiv·Jul 14, 2021
- Phenotype switching of the mutation rate facilitates adaptive evolution
G. A. Lobinska, Y. Pilpel, Y. Ram·bioRxiv·Feb 6, 2023
- Effect of migration and environmental heterogeneity on the maintenance of quantitative variation: a simulation study
T. K. McDonald, S. Yeaman·bioRxiv·Nov 28, 2017
- Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds
Ryan T. Maloney, Athena Ye, … Benjamin L. de Bivort·eLifePeer-reviewed·May 12, 2026