Document Detail

Modelling emergence of oscillations in communicating bacteria: a structured approach from one to many cells.
MedLine Citation:
PMID:  23135248     Owner:  NLM     Status:  MEDLINE    
Population-level measurements of phenotypic behaviour in biological systems may not necessarily reflect individual cell behaviour. To assess qualitative changes in the behaviour of a single cell, when alone and when part of a community, we developed an agent-based model describing the metabolic states of a population of quorum-coupled cells. The modelling is motivated by published experimental work of a synthetic genetic regulatory network (GRN) used in Escherichia coli cells that exhibit oscillatory behaviour across the population. To decipher the mechanisms underlying oscillations in the system, we investigate the behaviour of the model via numerical simulation and bifurcation analysis. In particular, we study the effect of an increase in population size as well as the spatio-temporal behaviour of the model. Our results demonstrate that oscillations are possible only in the presence of a high concentration of the coupling chemical and are due to a time scale separation in key regulatory components of the system. The model suggests that the population establishes oscillatory behaviour as the system's preferred stable state. This is achieved via an effective increase in coupling across the population. We conclude that population effects in GRN design need to be taken into consideration and be part of the design process. This is important in planning intervention strategies or designing specific cell behaviours.
Petros Mina; Mario di Bernardo; Nigel J Savery; Krasimira Tsaneva-Atanasova
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of the Royal Society, Interface / the Royal Society     Volume:  10     ISSN:  1742-5662     ISO Abbreviation:  J R Soc Interface     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-11-08     Completed Date:  2013-04-19     Revised Date:  2014-01-10    
Medline Journal Info:
Nlm Unique ID:  101217269     Medline TA:  J R Soc Interface     Country:  England    
Other Details:
Languages:  eng     Pagination:  20120612     Citation Subset:  IM    
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MeSH Terms
Biological Clocks / physiology*
Escherichia coli / physiology*
Gene Expression Regulation, Bacterial / physiology*
Models, Biological*
Quorum Sensing / physiology*

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