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Modelling bacterial twitching in fluid flows: a CFD-DEM approach
Bacterial habitats are often associated with fluid flow environments. Bacterial twitching is important for initial bacterial colonization and biofilm formation. The existing research about bacteria twitching is largely experimental orientated. There is a lack of models of twitching motility of bacte...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787227/ https://www.ncbi.nlm.nih.gov/pubmed/31601892 http://dx.doi.org/10.1038/s41598-019-51101-3 |
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author | Jayathilake, Pahala Gedara Li, Bowen Zuliani, Paolo Curtis, Tom Chen, Jinju |
author_facet | Jayathilake, Pahala Gedara Li, Bowen Zuliani, Paolo Curtis, Tom Chen, Jinju |
author_sort | Jayathilake, Pahala Gedara |
collection | PubMed |
description | Bacterial habitats are often associated with fluid flow environments. Bacterial twitching is important for initial bacterial colonization and biofilm formation. The existing research about bacteria twitching is largely experimental orientated. There is a lack of models of twitching motility of bacteria in shear flows, which could provide fundamental understanding about how bacterial twitching would be affected by bacteria associated properties such as number of pili and their distribution on the cell body and environmental factors such as flow and surface patterns. In this work, a three-dimensional modelling approach of Computational Fluid Dynamics (CFD) coupled with the Discrete Element Method (DEM) proposed to study bacterial twitching on flat and groove surfaces under shear flow conditions. Rod-shaped bacteria are modelled as groups of spherical particles and Type IV pili attached to bacteria are modelled as dynamic springs which can elongate, retract, attach and detach. The CFD-DEM model of rod-shape bacteria is validated against orbiting of immotile bacteria in shear flows. The effects of fluid flow rate and surface topography on twitching motility are studied. The model can successfully predict upstream twitching motility of rod-shaped bacteria in shear flows. Our model can predict that there would be an optimal range of wall shear stress in which bacterial upstream twitching is most efficient. The results also indicate that when bacteria twitch on groove surfaces, they are likely to accumulate around the downstream side of the groove walls. |
format | Online Article Text |
id | pubmed-6787227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67872272019-10-17 Modelling bacterial twitching in fluid flows: a CFD-DEM approach Jayathilake, Pahala Gedara Li, Bowen Zuliani, Paolo Curtis, Tom Chen, Jinju Sci Rep Article Bacterial habitats are often associated with fluid flow environments. Bacterial twitching is important for initial bacterial colonization and biofilm formation. The existing research about bacteria twitching is largely experimental orientated. There is a lack of models of twitching motility of bacteria in shear flows, which could provide fundamental understanding about how bacterial twitching would be affected by bacteria associated properties such as number of pili and their distribution on the cell body and environmental factors such as flow and surface patterns. In this work, a three-dimensional modelling approach of Computational Fluid Dynamics (CFD) coupled with the Discrete Element Method (DEM) proposed to study bacterial twitching on flat and groove surfaces under shear flow conditions. Rod-shaped bacteria are modelled as groups of spherical particles and Type IV pili attached to bacteria are modelled as dynamic springs which can elongate, retract, attach and detach. The CFD-DEM model of rod-shape bacteria is validated against orbiting of immotile bacteria in shear flows. The effects of fluid flow rate and surface topography on twitching motility are studied. The model can successfully predict upstream twitching motility of rod-shaped bacteria in shear flows. Our model can predict that there would be an optimal range of wall shear stress in which bacterial upstream twitching is most efficient. The results also indicate that when bacteria twitch on groove surfaces, they are likely to accumulate around the downstream side of the groove walls. Nature Publishing Group UK 2019-10-10 /pmc/articles/PMC6787227/ /pubmed/31601892 http://dx.doi.org/10.1038/s41598-019-51101-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jayathilake, Pahala Gedara Li, Bowen Zuliani, Paolo Curtis, Tom Chen, Jinju Modelling bacterial twitching in fluid flows: a CFD-DEM approach |
title | Modelling bacterial twitching in fluid flows: a CFD-DEM approach |
title_full | Modelling bacterial twitching in fluid flows: a CFD-DEM approach |
title_fullStr | Modelling bacterial twitching in fluid flows: a CFD-DEM approach |
title_full_unstemmed | Modelling bacterial twitching in fluid flows: a CFD-DEM approach |
title_short | Modelling bacterial twitching in fluid flows: a CFD-DEM approach |
title_sort | modelling bacterial twitching in fluid flows: a cfd-dem approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787227/ https://www.ncbi.nlm.nih.gov/pubmed/31601892 http://dx.doi.org/10.1038/s41598-019-51101-3 |
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