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A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms
The initial step of biofilm formation is bacteria attachment to biotic or abiotic surfaces and other bacteria through intra or interspecies interactions. Adhesion can be influenced by physicochemical conditions of the environment, such as iron. There is no available mathematical model of bacterial a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029265/ https://www.ncbi.nlm.nih.gov/pubmed/35456739 http://dx.doi.org/10.3390/microorganisms10040686 |
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author | Chathoth, Kanchana Fostier, Louis Martin, Bénédicte Baysse, Christine Mahé, Fabrice |
author_facet | Chathoth, Kanchana Fostier, Louis Martin, Bénédicte Baysse, Christine Mahé, Fabrice |
author_sort | Chathoth, Kanchana |
collection | PubMed |
description | The initial step of biofilm formation is bacteria attachment to biotic or abiotic surfaces and other bacteria through intra or interspecies interactions. Adhesion can be influenced by physicochemical conditions of the environment, such as iron. There is no available mathematical model of bacterial attachment giving realistic initiation rather than random adhesion. We describe a simple stochastic attachment model, from the simplest case in two dimensions with one bacterial species attaching on a homogeneous flat surface to more complex situations, with either several bacterial species, inhomogeneous or non-flat surfaces, or in three dimensions. The model depends on attachment probabilities (on the surface, laterally, or vertically on bacteria). Effects of each of these parameters were analyzed. This mathematical model is then applied to experimental oral microcolonies of Porphyromonas gingivalis, Streptococcus gordonii, and Treponema denticola, either as mono-, two, or three species, under different iron concentrations. The model allows to characterize the adhesion of three bacterial species and explore the effect of iron on attachment. This model appears as a powerful tool for initial attachment analysis of bacterial species. It will enable further modeling of biofilm formation in later steps with biofilm initialization more relevant to real-life subgingival biofilms. |
format | Online Article Text |
id | pubmed-9029265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90292652022-04-23 A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms Chathoth, Kanchana Fostier, Louis Martin, Bénédicte Baysse, Christine Mahé, Fabrice Microorganisms Article The initial step of biofilm formation is bacteria attachment to biotic or abiotic surfaces and other bacteria through intra or interspecies interactions. Adhesion can be influenced by physicochemical conditions of the environment, such as iron. There is no available mathematical model of bacterial attachment giving realistic initiation rather than random adhesion. We describe a simple stochastic attachment model, from the simplest case in two dimensions with one bacterial species attaching on a homogeneous flat surface to more complex situations, with either several bacterial species, inhomogeneous or non-flat surfaces, or in three dimensions. The model depends on attachment probabilities (on the surface, laterally, or vertically on bacteria). Effects of each of these parameters were analyzed. This mathematical model is then applied to experimental oral microcolonies of Porphyromonas gingivalis, Streptococcus gordonii, and Treponema denticola, either as mono-, two, or three species, under different iron concentrations. The model allows to characterize the adhesion of three bacterial species and explore the effect of iron on attachment. This model appears as a powerful tool for initial attachment analysis of bacterial species. It will enable further modeling of biofilm formation in later steps with biofilm initialization more relevant to real-life subgingival biofilms. MDPI 2022-03-23 /pmc/articles/PMC9029265/ /pubmed/35456739 http://dx.doi.org/10.3390/microorganisms10040686 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chathoth, Kanchana Fostier, Louis Martin, Bénédicte Baysse, Christine Mahé, Fabrice A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
title | A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
title_full | A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
title_fullStr | A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
title_full_unstemmed | A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
title_short | A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
title_sort | multi-skilled mathematical model of bacterial attachment in initiation of biofilms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029265/ https://www.ncbi.nlm.nih.gov/pubmed/35456739 http://dx.doi.org/10.3390/microorganisms10040686 |
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