Advancing microbial sciences by individual-based modelling

Ferdi L. Hellweger, Robert J. Clegg, James R. Clark, Caroline M. Plugge, Jan-Ulrich Kreft

Research output: Contribution to journalArticlepeer-review

96 Citations (Scopus)
611 Downloads (Pure)

Abstract

Remarkable technological advances have revealed ever more properties and behaviours of individual microorganisms, but the novel data generated by these techniques have not yet been fully exploited. In this Opinion article, we explain how individual-based models (IBMs) can be constructed based on the findings of such techniques and how they help to explore competitive and cooperative microbial interactions. Furthermore, we describe how IBMs have provided insights into self-organized spatial patterns from biofilms to the oceans of the world, phage–CRISPR dynamics and other emergent phenomena. Finally, we discuss how combining individual-based observations with IBMs can advance our understanding at both the individual and population levels, leading to the new approach of microbial individual-based ecology (μIBE).
Original languageEnglish
JournalNature Reviews Microbiology
Early online date6 Jun 2016
DOIs
Publication statusE-pub ahead of print - 6 Jun 2016

Keywords

  • Biofilms
  • phage biology
  • computational models
  • microbial communities

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