• Open Access

Toward a Universal Model for Spatially Structured Populations

Loïc Marrec, Irene Lamberti, and Anne-Florence Bitbol
Phys. Rev. Lett. 127, 218102 – Published 17 November 2021
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Abstract

A key question in evolution is how likely a mutant is to take over. This depends on natural selection and on stochastic fluctuations. Population spatial structure can impact mutant fixation probabilities. We introduce a model for structured populations on graphs that generalizes previous ones by making migrations independent of birth and death. We demonstrate that by tuning migration asymmetry, the star graph transitions from amplifying to suppressing natural selection. The results from our model are universal in the sense that they do not hinge on a modeling choice of microscopic dynamics or update rules. Instead, they depend on migration asymmetry, which can be experimentally tuned and measured.

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  • Received 19 April 2021
  • Revised 23 July 2021
  • Accepted 6 October 2021

DOI:https://doi.org/10.1103/PhysRevLett.127.218102

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Physics of Living SystemsStatistical Physics & ThermodynamicsInterdisciplinary Physics

Authors & Affiliations

Loïc Marrec1,†, Irene Lamberti1,‡, and Anne-Florence Bitbol1,2,3,*

  • 1Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratoire Jean Perrin (UMR 8237), F-75005 Paris, France
  • 2Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
  • 3SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland

  • *Corresponding author. anne-florence.bitbol@epfl.ch
  • Present address: Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, CH-3012 Bern, Switzerland.
  • Present address: Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.

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Issue

Vol. 127, Iss. 21 — 19 November 2021

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