Variations in non-local interaction range lead to emergent chase-and-run in heterogeneous populations.

chase-and-run interaction range non-local advection–diffusion PDEs pattern formation

Journal

Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269

Informations de publication

Date de publication:
Oct 2024
Historique:
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: ppublish

Résumé

In a chase-and-run dynamic, the interaction between two individuals is such that one moves towards the other (the chaser), while the other moves away (the runner). Examples can be found in both interacting cells and animals. Here, we investigate the behaviours that can emerge at a population level, for a heterogeneous group that contains subpopulations of chasers and runners. We show that a wide variety of patterns can form, from stationary patterns to oscillatory and population-level chase-and-run, where the latter describes a synchronized collective movement of the two populations. We investigate the conditions under which different behaviours arise, specifically focusing on the interaction ranges: the distances over which cells or organisms can sense one another's presence. We find that when the interaction range of the chaser is sufficiently larger than that of the runner-or when the interaction range of the chase is sufficiently larger than that of the run-population-level chase-and-run emerges in a robust manner. We discuss the results in the context of phenomena observed in cellular and ecological systems, with particular attention to the dynamics observed experimentally within populations of neural crest and placode cells.

Identifiants

pubmed: 39474790
doi: 10.1098/rsif.2024.0409
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20240409

Subventions

Organisme : Istituto Nazionale di Alta Matematica \"Francesco Severi\"
Organisme : Engineering and Physical Sciences Research Council

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Auteurs

Kevin J Painter (KJ)

Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio (DIST), Politecnico di Torino, Viale Pier Andrea Mattioli 39, Turin 10125, Italy.

Valeria Giunta (V)

Department of Mathematics, Swansea University, Computational Foundry, Bay Campus, Swansea SA1 8EN, UK.

Jonathan R Potts (JR)

School of Mathematical and Physical Sciences, University of Sheffield, Hounsfield Road, Sheffield S3 7RH, UK.

Sara Bernardi (S)

Department of Mathematical Sciences 'G. L. Lagrange', Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, Italy.

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Classifications MeSH