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Ecological modelling approaches for predicting emergent properties in microbial communities.
van den Berg, Naomi Iris; Machado, Daniel; Santos, Sophia; Rocha, Isabel; Chacón, Jeremy; Harcombe, William; Mitri, Sara; Patil, Kiran R.
Afiliação
  • van den Berg NI; Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, UK.
  • Machado D; Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway.
  • Santos S; Centre of Biological Engineering, University of Minho, Braga, Portugal.
  • Rocha I; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal.
  • Chacón J; Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, MN, USA.
  • Harcombe W; Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, MN, USA.
  • Mitri S; Département de Microbiologie Fondamentale, University of Lausanne, Lausanne, Switzerland.
  • Patil KR; Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, UK. kp533@cam.ac.uk.
Nat Ecol Evol ; 6(7): 855-865, 2022 07.
Article em En | MEDLINE | ID: mdl-35577982
Recent studies have brought forward the critical role of emergent properties in shaping microbial communities and the ecosystems of which they are a part. Emergent properties-patterns or functions that cannot be deduced linearly from the properties of the constituent parts-underlie important ecological characteristics such as resilience, niche expansion and spatial self-organization. While it is clear that emergent properties are a consequence of interactions within the community, their non-linear nature makes mathematical modelling imperative for establishing the quantitative link between community structure and function. As the need for conservation and rational modulation of microbial ecosystems is increasingly apparent, so is the consideration of the benefits and limitations of the approaches to model emergent properties. Here we review ecosystem modelling approaches from the viewpoint of emergent properties. We consider the scope, advantages and limitations of Lotka-Volterra, consumer-resource, trait-based, individual-based and genome-scale metabolic models. Future efforts in this research area would benefit from capitalizing on the complementarity between these approaches towards enabling rational modulation of complex microbial ecosystems.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota / Modelos Biológicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota / Modelos Biológicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article