Advancing microbial sciences by individual-based modeling

Kreft, J-U; Hellweger, FL; Clegg, R; Clark, JR; Plugge, CM. 2016 Advancing microbial sciences by individual-based modeling. Nature Reviews Microbiology, 14. 461-471. 10.1038/nrmicro.2016.62

[img] Text
Hellweger_et_al_NRM_2016.pdf - Published Version
Restricted to Repository staff only

Download (1MB)
Official URL: http://www.nature.com/nrmicro/journal/v14/n7/abs/n...

Abstract/Summary

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 (uIBE).

Item Type: Publication - Article
Subjects: Biology
Computer Science
Divisions: Plymouth Marine Laboratory > National Capability categories > Modelling
Depositing User: James Clark
Date made live: 22 Dec 2016 14:54
Last Modified: 06 Jun 2017 16:15
URI: http://plymsea.ac.uk/id/eprint/6945

Actions (login required)

View Item View Item