A simple model for the early events of quorum sensing in Pseudomonas aeruginosa: modeling bacterial swarming as the movement of an "activation zone".
BACKGROUND
Quorum sensing (QS) is a form of gene regulation based on cell-density that depends on inter-cellular communication. While there are a variety of models for bacterial colony morphology, there is little work linking QS genes to movement in an open system.


RESULTS
The onset of swarming in environmental P. aeruginosa PUPa3 was described with a simplified computational model in which cells in random motion communicate via a diffusible signal (representing N-acyl homoserine lactones, AHL) as well as diffusible, secreted factors (enzymes, biosurfactans, i.e. "public goods") that regulate the intensity of movement and metabolism in a threshold-dependent manner. As a result, an "activation zone" emerges in which nutrients and other public goods are present in sufficient quantities, and swarming is the spontaneous displacement of this high cell-density zone towards nutrients and/or exogenous signals. The model correctly predicts the behaviour of genomic knockout mutants in which the QS genes responsible either for the synthesis (lasI, rhlI) or the sensing (lasR, rhlR) of AHL signals were inactivated. For wild type cells the model predicts sustained colony growth that can however be collapsed by the overconsumption of nutrients.


CONCLUSIONS
While in more complex models include self-orienting abilities that allow cells to follow concentration gradients of nutrients and chemotactic agents, in this model, displacement towards nutrients or environmental signals is an emergent property of the community that results from the action of a few, well-defined QS genes and their products. Still the model qualitatively describes the salient properties of QS bacteria, i.e. the density-dependent onset of swarming as well as the response to exogenous signals or cues.
Netotea
Sergiu
S
Biological Research Center of the Hungarian Academy of Sciences, Szeged, Hungary. sergiun@brc.hu
Bertani
Iris
I
Steindler
Laura
L
Kerényi
Adám
A
Venturi
Vittorio
V
Pongor
Sándor
S
D000465:Algorithms; D015169:Colony Count, Microbial; D003198:Computer Simulation; D005838:Genotype; D007700:Kinetics; D008954:Models, Biological; D009154:Mutation / Q000235:genetics; D010641:Phenotype; D011550:Pseudomonas aeruginosa / Q000166:cytology* / Q000235:genetics / Q000502:physiology*; D053038:Quorum Sensing / Q000502:physiology*