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Prevalence of mutualism in a simple model of microbial coevolution.
Stucchi, Luciano; Galeano, Javier; Pastor, Juan Manuel; Iriondo, Jose María; Cuesta, José A.
  • Stucchi L; Universidad del Pacífico, 15072 Lima, Peru and Group of Complex Systems, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
  • Galeano J; Group of Complex Systems, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
  • Pastor JM; Group of Complex Systems, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
  • Iriondo JM; Biodiversity and Conservation Area, ESCET, Universidad Rey Juan Carlos, 28933 Madrid, Spain.
  • Cuesta JA; Grupo Interdisciplinar de Sistemas Complejos (GISC), 28911 Madrid, Spain; Department of Mathematics, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain; and Instituto de Biocomputación y Física de Sistemas Complejos (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain.
Phys Rev E ; 106(5-1): 054401, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36559513
Evolutionary transitions among ecological interactions are widely known, although their detailed dynamics remain absent for most population models. Adaptive dynamics has been used to illustrate how the parameters of population models might shift through evolution, but within an ecological regime. Here we use adaptive dynamics combined with a generalized logistic model of population dynamics to show that transitions of ecological interactions might appear as a consequence of evolution. To this purpose, we introduce a two-microbial toy model in which population parameters are determined by a bookkeeping of resources taken from (and excreted to) the environment, as well as from the byproducts of the other species. Despite its simplicity, this model exhibits all kinds of potential ecological transitions, some of which resemble those found in nature. Overall, the model shows a clear trend toward the emergence of mutualism.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simbiosis / Evolución Biológica Tipo de estudio: Prevalence_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simbiosis / Evolución Biológica Tipo de estudio: Prevalence_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article