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A mechanistic Individual-based Model of microbial communities
Accurate predictive modelling of the growth of microbial communities requires the credible representation of the interactions of biological, chemical and mechanical processes. However, although biological and chemical processes are represented in a number of Individual-based Models (IbMs) the intera...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542553/ https://www.ncbi.nlm.nih.gov/pubmed/28771505 http://dx.doi.org/10.1371/journal.pone.0181965 |
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author | Jayathilake, Pahala Gedara Gupta, Prashant Li, Bowen Madsen, Curtis Oyebamiji, Oluwole González-Cabaleiro, Rebeca Rushton, Steve Bridgens, Ben Swailes, David Allen, Ben McGough, A. Stephen Zuliani, Paolo Ofiteru, Irina Dana Wilkinson, Darren Chen, Jinju Curtis, Tom |
author_facet | Jayathilake, Pahala Gedara Gupta, Prashant Li, Bowen Madsen, Curtis Oyebamiji, Oluwole González-Cabaleiro, Rebeca Rushton, Steve Bridgens, Ben Swailes, David Allen, Ben McGough, A. Stephen Zuliani, Paolo Ofiteru, Irina Dana Wilkinson, Darren Chen, Jinju Curtis, Tom |
author_sort | Jayathilake, Pahala Gedara |
collection | PubMed |
description | Accurate predictive modelling of the growth of microbial communities requires the credible representation of the interactions of biological, chemical and mechanical processes. However, although biological and chemical processes are represented in a number of Individual-based Models (IbMs) the interaction of growth and mechanics is limited. Conversely, there are mechanically sophisticated IbMs with only elementary biology and chemistry. This study focuses on addressing these limitations by developing a flexible IbM that can robustly combine the biological, chemical and physical processes that dictate the emergent properties of a wide range of bacterial communities. This IbM is developed by creating a microbiological adaptation of the open source Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS). This innovation should provide the basis for “bottom up” prediction of the emergent behaviour of entire microbial systems. In the model presented here, bacterial growth, division, decay, mechanical contact among bacterial cells, and adhesion between the bacteria and extracellular polymeric substances are incorporated. In addition, fluid-bacteria interaction is implemented to simulate biofilm deformation and erosion. The model predicts that the surface morphology of biofilms becomes smoother with increased nutrient concentration, which agrees well with previous literature. In addition, the results show that increased shear rate results in smoother and more compact biofilms. The model can also predict shear rate dependent biofilm deformation, erosion, streamer formation and breakup. |
format | Online Article Text |
id | pubmed-5542553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55425532017-08-12 A mechanistic Individual-based Model of microbial communities Jayathilake, Pahala Gedara Gupta, Prashant Li, Bowen Madsen, Curtis Oyebamiji, Oluwole González-Cabaleiro, Rebeca Rushton, Steve Bridgens, Ben Swailes, David Allen, Ben McGough, A. Stephen Zuliani, Paolo Ofiteru, Irina Dana Wilkinson, Darren Chen, Jinju Curtis, Tom PLoS One Research Article Accurate predictive modelling of the growth of microbial communities requires the credible representation of the interactions of biological, chemical and mechanical processes. However, although biological and chemical processes are represented in a number of Individual-based Models (IbMs) the interaction of growth and mechanics is limited. Conversely, there are mechanically sophisticated IbMs with only elementary biology and chemistry. This study focuses on addressing these limitations by developing a flexible IbM that can robustly combine the biological, chemical and physical processes that dictate the emergent properties of a wide range of bacterial communities. This IbM is developed by creating a microbiological adaptation of the open source Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS). This innovation should provide the basis for “bottom up” prediction of the emergent behaviour of entire microbial systems. In the model presented here, bacterial growth, division, decay, mechanical contact among bacterial cells, and adhesion between the bacteria and extracellular polymeric substances are incorporated. In addition, fluid-bacteria interaction is implemented to simulate biofilm deformation and erosion. The model predicts that the surface morphology of biofilms becomes smoother with increased nutrient concentration, which agrees well with previous literature. In addition, the results show that increased shear rate results in smoother and more compact biofilms. The model can also predict shear rate dependent biofilm deformation, erosion, streamer formation and breakup. Public Library of Science 2017-08-03 /pmc/articles/PMC5542553/ /pubmed/28771505 http://dx.doi.org/10.1371/journal.pone.0181965 Text en © 2017 Jayathilake et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jayathilake, Pahala Gedara Gupta, Prashant Li, Bowen Madsen, Curtis Oyebamiji, Oluwole González-Cabaleiro, Rebeca Rushton, Steve Bridgens, Ben Swailes, David Allen, Ben McGough, A. Stephen Zuliani, Paolo Ofiteru, Irina Dana Wilkinson, Darren Chen, Jinju Curtis, Tom A mechanistic Individual-based Model of microbial communities |
title | A mechanistic Individual-based Model of microbial communities |
title_full | A mechanistic Individual-based Model of microbial communities |
title_fullStr | A mechanistic Individual-based Model of microbial communities |
title_full_unstemmed | A mechanistic Individual-based Model of microbial communities |
title_short | A mechanistic Individual-based Model of microbial communities |
title_sort | mechanistic individual-based model of microbial communities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542553/ https://www.ncbi.nlm.nih.gov/pubmed/28771505 http://dx.doi.org/10.1371/journal.pone.0181965 |
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