Variable cell morphology approach for individual-based modeling of microbial communities

Storck, Tomas, Picioreanu, Cristian, Virdis, Bernardino and Batstone, Damien J. (2014) Variable cell morphology approach for individual-based modeling of microbial communities. Biophysical Journal, 106 9: 2037-2048. doi:10.1016/j.bpj.2014.03.015

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Author Storck, Tomas
Picioreanu, Cristian
Virdis, Bernardino
Batstone, Damien J.
Title Variable cell morphology approach for individual-based modeling of microbial communities
Journal name Biophysical Journal   Check publisher's open access policy
ISSN 0006-3495
1542-0086
Publication date 2014-05-06
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.bpj.2014.03.015
Open Access Status File (Author Post-print)
Volume 106
Issue 9
Start page 2037
End page 2048
Total pages 12
Place of publication St. Louis, MO United States
Publisher Cell Press
Language eng
Abstract An individual-based, mass-spring modeling framework has been developed to investigate the effect of cell properties on the structure of biofilms and microbial aggregates through Lagrangian modeling. Key features that distinguish this model are variable cell morphology described by a collection of particles connected by springs and a mechanical representation of deformable intracellular, intercellular, and cell-substratum links. A first case study describes the colony formation of a rod-shaped species on a planar substratum. This case shows the importance of mechanical interactions in a community of growing and dividing rod-shaped cells (i.e.; bacilli). Cell-substratum links promote formation of mounds as opposed to single-layer biofilms, whereas filial links affect the roundness of the biofilm. A second case study describes the formation of flocs and development of external filaments in a mixed-culture activated sludge community. It is shown by modeling that distinct cell-cell links, microbial morphology, and growth kinetics can lead to excessive filamentous proliferation and interfloc bridging, possible causes for detrimental sludge bulking. This methodology has been extended to more advanced microbial morphologies such as filament branching and proves to be a very powerful tool in determining how fundamental controlling mechanisms determine diverse microbial colony architectures.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Advanced Water Management Centre Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 10 times in Scopus Article | Citations
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