Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical Model
<i>Campylobacter jejuni</i> plays a significant role in human health, food production, and veterinary practice. Biofilm formation is a likely mechanism explaining the survival of <i>C. jejuni</i> in seemingly unfavourable environments, but the underlying mechanisms are poorly...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-08-01
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| Series: | Hygiene |
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| Online Access: | https://www.mdpi.com/2673-947X/4/3/26 |
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| author | Paulina A. Dzianach Gary A. Dykes Norval J. C. Strachan Ken J. Forbes Francisco J. Pérez-Reche |
| author_facet | Paulina A. Dzianach Gary A. Dykes Norval J. C. Strachan Ken J. Forbes Francisco J. Pérez-Reche |
| author_sort | Paulina A. Dzianach |
| collection | DOAJ |
| description | <i>Campylobacter jejuni</i> plays a significant role in human health, food production, and veterinary practice. Biofilm formation is a likely mechanism explaining the survival of <i>C. jejuni</i> in seemingly unfavourable environments, but the underlying mechanisms are poorly understood. We propose a mathematical model to unify various observations regarding <i>C. jejuni</i> biofilm formation. Specifically, we present a cellular automaton with stochastic dynamics that describes both the probability of biofilm initiation and its subsequent growth. Our model incorporates fundamental processes such as cell rearrangement, diffusion of chemical compounds, accumulation of extracellular material, cell growth, lysis, and deactivation due to nutrient scarcity. The model predicts an optimal nutrient concentration that enhances population survival, revealing a trade-off where higher nutrient levels may harm individual cells but benefit the overall population. Our results suggest that the lower biofilm accumulation observed experimentally in aerobic conditions compared to microaerobic conditions may be due to a reduced surface invasion probability of individual cells. However, cells that do manage to invade can generate microcolonies of a similar size under both aerobic and microaerobic conditions. These findings provide new insights into the survival probability and size of <i>C. jejuni</i> biofilms, suggesting potential targets for controlling its biofilm formation in various environments. |
| format | Article |
| id | doaj-art-1ca2211ddbf6483c98d6caff018d1d58 |
| institution | OA Journals |
| issn | 2673-947X |
| language | English |
| publishDate | 2024-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Hygiene |
| spelling | doaj-art-1ca2211ddbf6483c98d6caff018d1d582025-08-20T01:55:33ZengMDPI AGHygiene2673-947X2024-08-014332634510.3390/hygiene4030026Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical ModelPaulina A. Dzianach0Gary A. Dykes1Norval J. C. Strachan2Ken J. Forbes3Francisco J. Pérez-Reche4School of Natural and Computing Sciences, University of Aberdeen, Aberdeen AB24 3UE, UKSchool of Public Health, Curtin University, Perth, WA 6845, AustraliaSchool of Natural and Computing Sciences, University of Aberdeen, Aberdeen AB24 3UE, UKSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB24 3UE, UKSchool of Natural and Computing Sciences, University of Aberdeen, Aberdeen AB24 3UE, UK<i>Campylobacter jejuni</i> plays a significant role in human health, food production, and veterinary practice. Biofilm formation is a likely mechanism explaining the survival of <i>C. jejuni</i> in seemingly unfavourable environments, but the underlying mechanisms are poorly understood. We propose a mathematical model to unify various observations regarding <i>C. jejuni</i> biofilm formation. Specifically, we present a cellular automaton with stochastic dynamics that describes both the probability of biofilm initiation and its subsequent growth. Our model incorporates fundamental processes such as cell rearrangement, diffusion of chemical compounds, accumulation of extracellular material, cell growth, lysis, and deactivation due to nutrient scarcity. The model predicts an optimal nutrient concentration that enhances population survival, revealing a trade-off where higher nutrient levels may harm individual cells but benefit the overall population. Our results suggest that the lower biofilm accumulation observed experimentally in aerobic conditions compared to microaerobic conditions may be due to a reduced surface invasion probability of individual cells. However, cells that do manage to invade can generate microcolonies of a similar size under both aerobic and microaerobic conditions. These findings provide new insights into the survival probability and size of <i>C. jejuni</i> biofilms, suggesting potential targets for controlling its biofilm formation in various environments.https://www.mdpi.com/2673-947X/4/3/26biofilmsextracellular matrix (ECM)cellular automata (CA)individual based modelling (IbM)<i>Campylobacter jejuni</i> |
| spellingShingle | Paulina A. Dzianach Gary A. Dykes Norval J. C. Strachan Ken J. Forbes Francisco J. Pérez-Reche Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical Model Hygiene biofilms extracellular matrix (ECM) cellular automata (CA) individual based modelling (IbM) <i>Campylobacter jejuni</i> |
| title | Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical Model |
| title_full | Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical Model |
| title_fullStr | Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical Model |
| title_full_unstemmed | Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical Model |
| title_short | Unveiling the Mechanisms for <i>Campylobacter jejuni</i> Biofilm Formation Using a Stochastic Mathematical Model |
| title_sort | unveiling the mechanisms for i campylobacter jejuni i biofilm formation using a stochastic mathematical model |
| topic | biofilms extracellular matrix (ECM) cellular automata (CA) individual based modelling (IbM) <i>Campylobacter jejuni</i> |
| url | https://www.mdpi.com/2673-947X/4/3/26 |
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