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1.
J Theor Biol ; 295: 23-36, 2012 Feb 21.
Article in English | MEDLINE | ID: mdl-22100489

ABSTRACT

Biofilms are currently recognised as the predominant bacterial life-style and it has been suggested that biofilm development is influenced by a number of different processes such as adhesion, detachment, mass transport, quorum sensing, cell death and active dispersal. One of the least understood processes and its effects on biofilm development is cell death. However, experimental studies suggest that bacterial death is an important process during biofilm development and many studies show a relationship between cell death and dispersal in microbial biofilms. We present a model of the process of cell death during biofilm development, with a particular focus on the spatial localisation of cell death or cell damage. Three rules governing cell death or cell damage were evaluated which compared the effects of starvation, damage accumulation, and viability during biofilm development and were also used to design laboratory based experiments to test the model. Results from model simulations show that actively growing biofilms develop steep nutrient gradients within the interior of the biofilm that affect neighbouring microcolonies resulting in cell death and detachment. Two of the rules indicated that high substrate concentrations lead to accelerated cell death, in contrast to the third rule, based on the accumulation of damage, which predicted earlier cell death for biofilms grown with low substrate concentrations. Comparison of the modelling results with experimental results suggests that cell death is favoured under low nutrient conditions and that the accumulation of damage may be the main cause of cell death during biofilm development.


Subject(s)
Bacteria/growth & development , Bacteriolysis/physiology , Biofilms/growth & development , Models, Biological , Algorithms , Bacteria/metabolism , Bacterial Adhesion/physiology , Microscopy, Fluorescence , Time Factors
2.
Biosystems ; 80(2): 201-13, 2005 May.
Article in English | MEDLINE | ID: mdl-15823419

ABSTRACT

Pseudomonas aeruginosa is a gram-negative bacterium that causes serious illnesses, particularly in immunocompromised individuals, often with a fatal outcome. The finding that the acylated homoserine lactone quorum sensing (QS) system controls the production of virulence factors in P. aeruginosa makes this system a possible target for antimicrobial therapy. It has been suggested that an N-(3-oxododecanoyl)-homoserine lactone (3O-C12-HSL) antagonist, a QS blocker (QSB), would interfere efficiently with the quorum sensing system in P. aeruginosa and thus reduce the virulence of this pathogen. In this work, a mathematical model of the QS system in P. aeruginosa has been developed. The model was used to virtually add 3O-C12-HSL antagonists that differed in their affinity for the receptor protein and for their ability to mediate degradation of the receptor. The model suggests that very small differences in these parameters for different 3O-C12-HSL antagonists can greatly affect the success of QSB based inhibition of the QS system in P. aeruginosa. Most importantly, it is proposed that the ability of the 3O-C12-HSL antagonist to mediate degradation of LasR is the core parameter for successful QSB based inhibition of the QS system in P. aeruginosa. Finally, this study demonstrates that QSBs can shift the system to a low steady state, corresponding to an uninduced state and thus, suggests that the use of 3O-C12-HSL antagonists may constitute a promising therapeutic approach against P. aeruginosa involved infections.


Subject(s)
4-Butyrolactone/analogs & derivatives , 4-Butyrolactone/antagonists & inhibitors , 4-Butyrolactone/chemistry , Anti-Bacterial Agents/chemistry , Anti-Bacterial Agents/pharmacology , Models, Biological , Models, Chemical , Pseudomonas aeruginosa/drug effects , Pseudomonas aeruginosa/metabolism , 4-Butyrolactone/metabolism , Cell Survival/drug effects , Computer Simulation , Drug Design , Signal Transduction/drug effects , Signal Transduction/physiology
3.
J Mol Microbiol Biotechnol ; 6(2): 88-100, 2003.
Article in English | MEDLINE | ID: mdl-15044827

ABSTRACT

Quorum-sensing systems provide Pseudomonas aeruginosa with a sensitive regulatory mechanism that allows for the induction of several phenotypic genes in a cell density fashion. In this work, a mathematical model of the acylated homoserine lactones regulatory network system in P. aeruginosa has been developed. It is the first integrated model to consider both quorum-sensing systems. The model has allowed us to disentangle the complex behavior exhibited by the system as the concentration of extracellular OdDHL is increased. At either low or high levels of extracellular OdDHL, the bacterium remains in an uninduced or induced state, respectively. At moderate levels, the behavior is characterized by several states. Here, the bacteria can switch suddenly from an uninduced to an induced phenotype in response to small changes in the concentration of extracellular OdDHL. Additionally, we have been able to address the roles of RsaL and Vfr as regulators of the quorum-sensing system. An important result from this analysis suggests that RsaL will increase the concentration of extracellular OdDHL required to induce the system, and it is a key regulator of the inhibition of the quorum-sensing system under low cell densities. Most importantly, our results suggest that Vfr has strong regulatory effects on the system as an increased affinity between the LasR/OdDHL complex, and the lasR promoter leads to significant qualitative changes in induction patterns. We also show experimental data that demonstrate that Vfr is required for signal production in the early phase of growth, but that in the latter stages of growth, the vfr mutant is able to synthesize wild-type levels of signal.


Subject(s)
4-Butyrolactone/analogs & derivatives , Bacterial Proteins/metabolism , Cyclic AMP Receptor Protein/metabolism , Gene Expression Regulation, Bacterial , Homoserine/analogs & derivatives , Pseudomonas aeruginosa/growth & development , Repressor Proteins/metabolism , Signal Transduction , Transcription Factors/metabolism , 4-Butyrolactone/metabolism , Bacterial Proteins/genetics , Culture Media , Cyclic AMP Receptor Protein/genetics , DNA-Binding Proteins/metabolism , Homoserine/metabolism , Humans , Models, Biological , Pseudomonas aeruginosa/genetics , Repressor Proteins/genetics , Trans-Activators/metabolism , Transcription Factors/genetics
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