Home LiteratureArticle Details
PMID: 31601892 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Modelling bacterial twitching in fluid flows: a CFD-DEM approach.

Scientific reports ·Vol. 9 ·No. 1 ·2019-00-10 ·页码 14540

Jayathilake PG, Li B, Zuliani P, Curtis T, Chen J

Abstract

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.

MeSH 主题词
Bacteria/metabolism Biofilms Caulobacter Computer Simulation Ecosystem Fimbriae, Bacterial/metabolism Finite Element Analysis Hydrodynamics Movement Myxococcus xanthus Neisseria gonorrhoeae Pseudomonas aeruginosa Shear Strength Software Stress, Mechanical Synechocystis
作者与单位
共 5 位作者,点击展开单位 / ORCID
Jayathilake Pahala Gedara
School of Engineering, Newcastle University, NE17RU, Newcastle upon Tyne, United Kingdom. [email protected]. | Department of Oncology, University of Oxford, Oxford, UK. [email protected].
Li Bowen
School of Computing, Newcastle University, NE17RU, Newcastle upon Tyne, United Kingdom.
Zuliani Paolo
School of Computing, Newcastle University, NE17RU, Newcastle upon Tyne, United Kingdom.
Curtis Tom
School of Engineering, Newcastle University, NE17RU, Newcastle upon Tyne, United Kingdom.
Chen Jinju
School of Engineering, Newcastle University, NE17RU, Newcastle upon Tyne, United Kingdom. [email protected].
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Published
2019-00-10
电子出版
2019-00-10
页码
14540
Language
English
Country/Region
England
NLM ID
101563288
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]