Time scales and wave formation in non-linear spatial public goods games.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
09 2019
Historique:
received: 01 10 2018
accepted: 27 08 2019
revised: 03 10 2019
pubmed: 24 9 2019
medline: 21 1 2020
entrez: 24 9 2019
Statut: epublish

Résumé

The co-evolutionary dynamics of competing populations can be strongly affected by frequency-dependent selection and spatial population structure. As co-evolving populations grow into a spatial domain, their initial spatial arrangement and their growth rate differences are important factors that determine the long-term outcome. We here model producer and free-rider co-evolution in the context of a diffusive public good (PG) that is produced by the producers at a cost but evokes local concentration-dependent growth benefits to all. The benefit of the PG can be non-linearly dependent on public good concentration. We consider the spatial growth dynamics of producers and free-riders in one, two and three dimensions by modeling producer cell, free-rider cell and public good densities in space, driven by the processes of birth, death and diffusion (cell movement and public good distribution). Typically, one population goes extinct, but the time-scale of this process varies with initial conditions and the growth rate functions. We establish that spatial variation is transient regardless of dimensionality, and that structured initial conditions lead to increasing times to get close to an extinction state, called ε-extinction time. Further, we find that uncorrelated initial spatial structures do not influence this ε-extinction time in comparison to a corresponding well-mixed (non-spatial) system. In order to estimate the ε-extinction time of either free-riders or producers we derive a slow manifold solution. For invading populations, i.e. for populations that are initially highly segregated, we observe a traveling wave, whose speed can be calculated. Our results provide quantitative predictions for the transient spatial dynamics of cooperative traits under pressure of extinction.

Identifiants

pubmed: 31545788
doi: 10.1371/journal.pcbi.1007361
pii: PCOMPBIOL-D-18-01678
pmc: PMC6776369
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1007361

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Gregory J Kimmel (GJ)

Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America.

Philip Gerlee (P)

Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Department of Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden.

Philipp M Altrock (PM)

Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America.
University of South Florida, Morsani College of Medicine, Tampa, Florida, United States of America.

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Classifications MeSH