ArXiv TLDR

Fixation probabilities for multi-allele Moran dynamics with weak selection

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2604.12004

Ian Braga, Lucas Wardil, Ricardo Martinez-Garcia

q-bio.PEcond-mat.stat-mech

TLDR

A new perturbative framework computes fixation probabilities for multi-allele Moran dynamics under weak selection, extending analytical understanding.

Key contributions

  • Introduces a perturbative framework to compute fixation probabilities in multi-allele Moran processes.
  • Utilizes the backward Fokker-Planck operator for weak selection, expanding around neutral solutions.
  • Applies the framework to three biological examples, including coordination games and clonal interference.

Why it matters

This paper extends the analytical understanding of fixation probabilities beyond simple two-type systems. It provides a crucial framework for studying complex multi-strategy evolutionary dynamics, enabling deeper insights into real-world biological processes.

Original Abstract

Fixation probabilities are essential for characterizing stochastic evolutionary dynamics, but analytical results remain limited mainly to systems with two competing types. We develop a perturbative framework to compute fixation probabilities in multi-allele Moran processes under weak selection. Exploiting the general structure of the backward Fokker-Planck operator in this regime, we show that fixation probabilities admit a systematic expansion around their neutral solution. We first introduce the framework in a general case with $M$ competing alleles and arbitrary fitness functions, and then apply it to three biologically motivated examples: a simple model of three competing alleles with a constant fitness function, a coordination game in which allele fitness increases with its frequency in the population, and a model of clonal interference between mutualistic alleles. These results extend the analytical understanding of fixation probabilities beyond pairwise interactions, establishing a framework for investigating multi-strategy stochastic evolutionary dynamics.

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