Mutant fate in spatially structured populations on graphs: Connecting models to experiments.

ABSTRACT: In nature, most microbial populations have complex spatial structures that can affect their evolution. Evolutionary graph theory predicts that some spatial structures modelled by placing individuals on the nodes of a graph affect the probability that a mutant will fix. Evolution experiments are beginning to explicitly address the impact of graph structures on mutant fixation. However, the assumptions of evolutionary graph theory differ from the conditions of modern evolution experiments, making the comparison between theory and experiment challenging. Here, we aim to bridge this gap by using our new model of spatially structured populations. This model considers connected subpopulations that lie on the nodes of a graph, and allows asymmetric migrations. It can handle large populations, and

SUBMITTER: Abbara A 

PROVIDER: S-EPMC11410244 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature