Models in microbial ecology

Sergio M. Vallina, Ricardo Martinez-Garcia, Sherwood L. Smith, Juan A. Bonachela

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Mathematical modelling is nowadays a central tool in microbial ecology. Ecological theory and numerical modelling are essential for developing a deeper understanding of the mechanisms that shape the assembly and evolution of microbial communities. Microbes interact among themselves and with their environment in complex ways, and can display a very rich set of spatiotemporal dynamics. Modelling these processes is thus a challenging enterprise that needs to be subject to experimental validation. This article provides a review of the state-of-the-art of models in microbial ecology, ranging from the microscopic level (e.g., resource uptake) to the macroscopic level (e.g., spatial organization). Special emphasis is given to the modelling of (i) uptake kinetics, elemental stoichiometry and functional trade-offs; (ii) food web and eco-evolutionary dynamics; (iii) micro-scale variability and social behavior in microbes. The overarching point of view is the use of theoretical models to improve our understanding of how microbial communities operate and affect ecosystem functioning.

Original languageEnglish (US)
Title of host publicationEncyclopedia of Microbiology
PublisherElsevier
Pages211-246
Number of pages36
ISBN (Electronic)9780128117378
ISBN (Print)9780128117361
DOIs
StatePublished - Jan 1 2019

All Science Journal Classification (ASJC) codes

  • Immunology and Microbiology(all)

Keywords

  • Adaptive dynamics
  • Biodiversity
  • Biofilms
  • Community assembly
  • Complexity
  • Dynamic fitness landscapes
  • Ecology and evolution
  • Ecosystem functioning
  • Ecotype
  • Elemental stoichiometry
  • Food webs
  • Lotka-Volterra
  • Michaelis-Menten
  • Micro-scale variability
  • Microbes
  • Modelling
  • Social interactions
  • Stability
  • Trade-offs
  • Trait diffusion
  • Uptake machinery

Fingerprint

Dive into the research topics of 'Models in microbial ecology'. Together they form a unique fingerprint.

Cite this