Noise driven phase transitions in eco-evolutionary systems.


Journal

ArXiv
ISSN: 2331-8422
Titre abrégé: ArXiv
Pays: United States
ID NLM: 101759493

Informations de publication

Date de publication:
16 Oct 2023
Historique:
pubmed: 31 10 2023
medline: 31 10 2023
entrez: 31 10 2023
Statut: epublish

Résumé

In complex ecosystems such as microbial communities, there is constant ecological and evolutionary feedback between the residing species and the environment occurring on concurrent timescales. Species respond and adapt to their surroundings by modifying their phenotypic traits, which in turn alters their environment and the resources available. To study this interplay between ecological and evolutionary mechanisms, we develop a consumer-resource model that incorporates phenotypic mutations. In the absence of noise, we find that phase transitions require finely-tuned interaction kernels. Additionally, we quantify the effects of noise on frequency dependent selection by defining a time-integrated mutation current, which accounts for the rate at which mutations and speciation occurs. We find three distinct phases: homogeneous, patterned, and patterned traveling waves. The last phase represents one way in which co-evolution of species can happen in a fluctuating environment. Our results highlight the principal roles that noise and non-reciprocal interactions between resources and consumers play in phase transitions within eco-evolutionary systems.

Identifiants

pubmed: 37904744
pii: 2310.08735
pmc: PMC10614967
pii:

Types de publication

Preprint

Langues

eng

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Auteurs

Jim Wu (J)

Department of Physics, Princeton University, Princeton, NJ 08544, USA.
Center for the Physics of Biological Function, Princeton University, Princeton, NJ 08544, USA.

David J Schwab (DJ)

Center for the Physics of Biological Function, Princeton University, Princeton, NJ 08544, USA.
Initiative for the Theoretical Sciences, The Graduate Center, CUNY, New York, NY 10016, USA.

Trevor GrandPre (T)

Department of Physics, Princeton University, Princeton, NJ 08544, USA.
Center for the Physics of Biological Function, Princeton University, Princeton, NJ 08544, USA.
Princeton Center for Theoretical Science, Princeton University, Princeton, NJ 08544, USA.

Classifications MeSH