Competition on the edge of an expanding population
Daniel W. Swartz, Hyunseok Lee, Mehran Kardar, Kirill S. Korolev

TL;DR
This paper develops a theoretical framework combining population expansion and competition, revealing three regimes based on expansion rates and competitive abilities, to better understand spatial competition dynamics.
Contribution
It introduces a coupled model integrating Fisher and KPZ equations to analyze mutant competition during population expansion, a novel approach in spatial evolutionary theory.
Findings
Identified three distinct regimes of competition based on expansion and fitness.
Derived solutions for coupled Fisher-KPZ equations.
Provided a unified framework for spatial competition analysis.
Abstract
In growing populations, the fate of mutations depends on their competitive ability against the ancestor and their ability to colonize new territory. Here we present a theory that integrates both aspects of mutant fitness by coupling the classic description of one-dimensional competition (Fisher equation) to the minimal model of front shape (KPZ equation). We solved these equations and found three regimes, which are controlled solely by the expansion rates, solely by the competitive abilities, or by both. Collectively, our results provide a simple framework to study spatial competition.
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Taxonomy
TopicsEvolution and Genetic Dynamics · Evolutionary Game Theory and Cooperation · Mathematical and Theoretical Epidemiology and Ecology Models
