Comparison between effective and individual growth rates in a heterogeneous population

Abstract Is there an advantage to heterogeneity in a population where individuals grow and divide by fission? This is a broad question, to which there is no easy universal answer. This article aims to provide a quantitative answer in the specific context of growth rate heterogeneity, which can represent genetic polymorphism, by comparing the fitness of homogeneous versus heterogeneous populations. We focus on size-structured populations, where the growth rate of each individual is set at birth by heredity and/or mutations. The fitness (or Malthus parameter, or effective fitness) of such heterogeneous populations is defined by its long-term behaviour, and we introduce the effective growth rate as the individual growth rate in the homogeneous population with the same fitness. We derive analytical formulae linking effective and individual growth rates in two paradigmatic cases: first, constant growth and division rates; second, linear growth rates and uniform fragmentation. Surprisingly, both cases yield similar expressions. By comparing the fitness and effective growth rates of populations with different degrees of heterogeneity or different heredity/mutation laws to those of average homogeneous populations, we quantitatively investigate the combined influence of heredity and heterogeneity and revisit previous results stating that heterogeneity is beneficial in the case of strong heredity.

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Publication Details

Journal
Royal Society Open Science
Published
2026-05-27
DOI
https://doi.org/10.1098/rsos.251119
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparison between effective and individual growth rates in a heterogeneous population

Anaïs Rat, Magali Tournus, Marie Doumic
Royal Society Open Science
Evolution and Genetic Dynamics
article

Comparison between effective and individual growth rates in a heterogeneous population

Anaïs Rat, Magali Tournus, Marie Doumic
article en

Abstract

Abstract Is there an advantage to heterogeneity in a population where individuals grow and divide by fission? This is a broad question, to which there is no easy universal answer. This article aims to provide a quantitative answer in the specific context of growth rate heterogeneity, which can represent genetic polymorphism, by comparing the fitness of homogeneous versus heterogeneous populations. We focus on size-structured populations, where the growth rate of each individual is set at birth by heredity and/or mutations. The fitness (or Malthus parameter, or effective fitness) of such heterogeneous populations is defined by its long-term behaviour, and we introduce the effective growth rate as the individual growth rate in the homogeneous population with the same fitness. We derive analytical formulae linking effective and individual growth rates in two paradigmatic cases: first, constant growth and division rates; second, linear growth rates and uniform fragmentation. Surprisingly, both cases yield similar expressions. By comparing the fitness and effective growth rates of populations with different degrees of heterogeneity or different heredity/mutation laws to those of average homogeneous populations, we quantitatively investigate the combined influence of heredity and heterogeneity and revisit previous results stating that heterogeneity is beneficial in the case of strong heredity.

Royal Society Open ScienceVol. 13(5)
Institut national de recherche en sciences et technologies du numérique (FR), École Polytechnique (FR), Université Sorbonne Nouvelle (FR), Aix-Marseille Université (FR), International Project Management, Plating and Materials (France) (FR), Laboratoire de Mathématiques de Bretagne Atlantique (FR), Institut de Neurobiologie de la Méditerranée (FR), Institut de Mathématiques de Marseille (FR), Centrale Méditerranée (FR), Canadian Nautical Research Society (CA), Center For Medicare Advocacy (US), Polytechnique Montréal (CA)
European Research Council
Openalex Percentile: Top 6%
Evolution and Genetic Dynamics
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