A new mathematical model of bacterial interactions in two-species oral biofilms

Abstract : Periodontitis are bacterial inflammatory diseases, where the bacterial biofilms present on the tooth-supporting tissues switch from a healthy state towards a pathogenic state. Among bacterial species involved in the disease, Porphyromonas gingivalis has been shown to induce dysbiosis, and to induce virulence of otherwise healthy bacteria like Streptococcus gordonii. During biofilm development, primary colonizers such as S. gordonii first attach to the surface and allow the subsequent adhesion of periodontal pathogens such as P. gingivalis. Interactions between those two bacteria have been extensively studied during the adhesion step of the biofilm. The aim of the study was to understand interactions of both species during the growing phase of the biofilm, for which little knowledge is available, using a mathematical model. This two-species biofilm model was based on a substrate-dependent growth, implemented with damage parameters, and validated thanks to data obtained on experimental biofilms. Three different hypothesis of interactions were proposed and assayed using this model: independence, competition between both bacteria species, or induction of toxicity by one species for the other species. Adequacy between experimental and simulated biofilms were found with the last hypothetic mathematical model. This new mathematical model of two species bacteria biofilms, dependent on different substrates for growing, can be applied to any bacteria species, environmental conditions, or steps of biofilm development. It will be of great interest for exploring bacterial interactions in biofilm conditions.
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Contributeur : Laurent Jonchère <>
Soumis le : lundi 6 mars 2017 - 15:29:21
Dernière modification le : mercredi 2 août 2017 - 10:11:47



Bénédicte Martin, Zohreh Tamanai-Shacoori, Julie Bronsard, Franck Ginguené, Vincent Meuric, et al.. A new mathematical model of bacterial interactions in two-species oral biofilms. PLoS ONE, Public Library of Science, 2017, 12, pp.e0173153. <10.1371/journal.pone.0173153>. <hal-01483852>



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