Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chathoth, Kanchana, Fostier, Louis, Martin, Bénédicte, Baysse, Christine, Mahé, Fabrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784691833739149312
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
work_keys_str_mv AT chathothkanchana amultiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT fostierlouis amultiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT martinbenedicte amultiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT bayssechristine amultiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT mahefabrice amultiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT chathothkanchana multiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT fostierlouis multiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT martinbenedicte multiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT bayssechristine multiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms
AT mahefabrice multiskilledmathematicalmodelofbacterialattachmentininitiationofbiofilms