Document Detail


Study of a virus-bacteria interaction model in a chemostat: application of geometrical singular perturbation theory.
MedLine Citation:
PMID:  19884175     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper provides a mathematical analysis of a virus-marine bacteria interaction model. The model is a simplified case of the model published and used by Middelboe (Middelboe, M. 2000 Microb. Ecol. 40, 114-124). It takes account of the virus, the susceptible bacteria, the infected bacteria and the substrate in a chemostat. We show that the numerical values of the parameters given by Middelboe allow two different time scales to be considered. We then use the geometrical singular perturbation theory to study the model. We show that there are two invariant submanifolds of dimension two in the four-dimensional phase space and that these manifolds cross themselves on the boundary of the domain of biological relevance. We then perform a rescaling to understand the dynamics in the vicinity of the intersection of the manifolds. Our results are discussed in the marine ecological context.
Authors:
J-C Poggiale; P Auger; F Cordoleani; T Nguyen-Huu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  367     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2009 Dec 
Date Detail:
Created Date:  2009-11-03     Completed Date:  2010-03-04     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  4685-97     Citation Subset:  IM    
Affiliation:
Laboratoire de Microbiologie, de Géochimie et d'Ecologie Marines, UMR CNRS 6117, Université de Méditerranée, Case 901, Campus de Luminy, 13288 Marseille Cedex 09, France. jean-christophe.poggiale@univmed.fr
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MeSH Terms
Descriptor/Qualifier:
Bacteria / virology*
Bacteriophages / growth & development*
Bioreactors / microbiology,  virology
Ecosystem*
Models, Biological*
Virus Physiological Phenomena

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