Competition-driven evolution of organismal complexity.


Journal

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

Informations de publication

Date de publication:
10 2019
Historique:
received: 07 02 2019
accepted: 10 09 2019
revised: 15 10 2019
pubmed: 4 10 2019
medline: 6 2 2020
entrez: 4 10 2019
Statut: epublish

Résumé

Non-uniform rates of morphological evolution and evolutionary increases in organismal complexity, captured in metaphors like "adaptive zones", "punctuated equilibrium" and "blunderbuss patterns", require more elaborate explanations than a simple gradual accumulation of mutations. Here we argue that non-uniform evolutionary increases in phenotypic complexity can be caused by a threshold-like response to growing ecological pressures resulting from evolutionary diversification at a given level of complexity. Acquisition of a new phenotypic feature allows an evolving species to escape this pressure but can typically be expected to carry significant physiological costs. Therefore, the ecological pressure should exceed a certain level to make such an acquisition evolutionarily successful. We present a detailed quantitative description of this process using a microevolutionary competition model as an example. The model exhibits sequential increases in phenotypic complexity driven by diversification at existing levels of complexity and a resulting increase in competitive pressure, which can push an evolving species over the barrier of physiological costs of new phenotypic features.

Identifiants

pubmed: 31581239
doi: 10.1371/journal.pcbi.1007388
pii: PCOMPBIOL-D-19-00209
pmc: PMC6793884
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1007388

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Iaroslav Ispolatov (I)

Departamento de Fisica, Universidad de Santiago de Chile, Santiago, Chile.

Evgeniia Alekseeva (E)

Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia.

Michael Doebeli (M)

Department of Zoology and Department of Mathematics, University of British Columbia, Vancouver B.C. Canada.

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Classifications MeSH