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...
Ausführliche Beschreibung
Autor*in: |
Kanchana Chathoth [verfasserIn] Louis Fostier [verfasserIn] Bénédicte Martin [verfasserIn] Christine Baysse [verfasserIn] Fabrice Mahé [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Übergeordnetes Werk: |
In: Microorganisms - MDPI AG, 2013, 10(2022), 4, p 686 |
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Übergeordnetes Werk: |
volume:10 ; year:2022 ; number:4, p 686 |
Links: |
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DOI / URN: |
10.3390/microorganisms10040686 |
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Katalog-ID: |
DOAJ033984735 |
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10.3390/microorganisms10040686 doi (DE-627)DOAJ033984735 (DE-599)DOAJfc280760bb4844099c3f9b2c8218bdcc DE-627 ger DE-627 rakwb eng QH301-705.5 Kanchana Chathoth verfasserin aut A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Porphyromonas gingivalis</i<, <i<Streptococcus gordonii</i<, and <i<Treponema denticola</i<, 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. biofilm bacterial attachment mathematical model <i<Porphyromonas gingivalis</i< <i<Streptococcus gordonii</i< <i<Treponema denticola</i< Biology (General) Louis Fostier verfasserin aut Bénédicte Martin verfasserin aut Christine Baysse verfasserin aut Fabrice Mahé verfasserin aut In Microorganisms MDPI AG, 2013 10(2022), 4, p 686 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:10 year:2022 number:4, p 686 https://doi.org/10.3390/microorganisms10040686 kostenfrei https://doaj.org/article/fc280760bb4844099c3f9b2c8218bdcc kostenfrei https://www.mdpi.com/2076-2607/10/4/686 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 4, p 686 |
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10.3390/microorganisms10040686 doi (DE-627)DOAJ033984735 (DE-599)DOAJfc280760bb4844099c3f9b2c8218bdcc DE-627 ger DE-627 rakwb eng QH301-705.5 Kanchana Chathoth verfasserin aut A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Porphyromonas gingivalis</i<, <i<Streptococcus gordonii</i<, and <i<Treponema denticola</i<, 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. biofilm bacterial attachment mathematical model <i<Porphyromonas gingivalis</i< <i<Streptococcus gordonii</i< <i<Treponema denticola</i< Biology (General) Louis Fostier verfasserin aut Bénédicte Martin verfasserin aut Christine Baysse verfasserin aut Fabrice Mahé verfasserin aut In Microorganisms MDPI AG, 2013 10(2022), 4, p 686 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:10 year:2022 number:4, p 686 https://doi.org/10.3390/microorganisms10040686 kostenfrei https://doaj.org/article/fc280760bb4844099c3f9b2c8218bdcc kostenfrei https://www.mdpi.com/2076-2607/10/4/686 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 4, p 686 |
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10.3390/microorganisms10040686 doi (DE-627)DOAJ033984735 (DE-599)DOAJfc280760bb4844099c3f9b2c8218bdcc DE-627 ger DE-627 rakwb eng QH301-705.5 Kanchana Chathoth verfasserin aut A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Porphyromonas gingivalis</i<, <i<Streptococcus gordonii</i<, and <i<Treponema denticola</i<, 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. biofilm bacterial attachment mathematical model <i<Porphyromonas gingivalis</i< <i<Streptococcus gordonii</i< <i<Treponema denticola</i< Biology (General) Louis Fostier verfasserin aut Bénédicte Martin verfasserin aut Christine Baysse verfasserin aut Fabrice Mahé verfasserin aut In Microorganisms MDPI AG, 2013 10(2022), 4, p 686 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:10 year:2022 number:4, p 686 https://doi.org/10.3390/microorganisms10040686 kostenfrei https://doaj.org/article/fc280760bb4844099c3f9b2c8218bdcc kostenfrei https://www.mdpi.com/2076-2607/10/4/686 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 4, p 686 |
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Kanchana Chathoth misc QH301-705.5 misc biofilm misc bacterial attachment misc mathematical model misc <i<Porphyromonas gingivalis</i< misc <i<Streptococcus gordonii</i< misc <i<Treponema denticola</i< misc Biology (General) A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
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QH301-705.5 A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms biofilm bacterial attachment mathematical model <i<Porphyromonas gingivalis</i< <i<Streptococcus gordonii</i< <i<Treponema denticola</i< |
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A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms |
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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 <i<Porphyromonas gingivalis</i<, <i<Streptococcus gordonii</i<, and <i<Treponema denticola</i<, 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. |
abstractGer |
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 <i<Porphyromonas gingivalis</i<, <i<Streptococcus gordonii</i<, and <i<Treponema denticola</i<, 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. |
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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 <i<Porphyromonas gingivalis</i<, <i<Streptococcus gordonii</i<, and <i<Treponema denticola</i<, 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. |
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