Computational modeling of bacterial dynamics under shear flow

Kartik  Jain

Abstract

Bacteria can propel, proliferate and accumulate in a number of media and their dynamics are affected by shear flow. In addition to self-propulsion, bacteria can stick to each other and to surfaces where they can create fast growing colonies, called biofilm. Studies have shown that bacteria more commonly accumulate at surfaces and around obstacles. In the present work we modeled dynamics of E.Coli in a water like fluid. In the model the bacteria are represented by molecular dynamics (MD) particles while the fluid is represented by a lattice Boltzmann method (LBM). The MD particles are coupled to the LB fluid using a frictional point coupling that ensures momentum conservation of the total system. We present collective transient dynamics of up to 4000 bacteria in porous configurations. Our results show that the bacteria tend to a state of momentary stasis in regions where the underlying fluid recirculates, and thus result in a sticking behavior near the obstacles of the porous media. Our findings indicate that such a behavior is manifested mainly due to hydrodynamics interactions between a bacterium and the surfaces. Our model of bacterial replication agrees well with experimental data and ongoing work includes coupling of time scales in bacterial life cycle to model biofilms.

Original language	English
Number of pages	1
Publication status	Published - Nov 2019
Event	72nd Annual Meeting of the APS Division of Fluid Dynamics, APS-DFD 2019 - Washington State Convention Center, Seattle, United States Duration: 23 Nov 2019 → 26 Nov 2019 Conference number: 72

Conference

Conference	72nd Annual Meeting of the APS Division of Fluid Dynamics, APS-DFD 2019
Country	United States
City	Seattle
Period	23/11/19 → 26/11/19

Access to Document

https://meetings.aps.org/Meeting/DFD19/Session/L29.4

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Jain, K. (2019). Computational modeling of bacterial dynamics under shear flow. Abstract from 72nd Annual Meeting of the APS Division of Fluid Dynamics, APS-DFD 2019, Seattle, United States.

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title = "Computational modeling of bacterial dynamics under shear flow",

abstract = "Bacteria can propel, proliferate and accumulate in a number of media and their dynamics are affected by shear flow. In addition to self-propulsion, bacteria can stick to each other and to surfaces where they can create fast growing colonies, called biofilm. Studies have shown that bacteria more commonly accumulate at surfaces and around obstacles. In the present work we modeled dynamics of E.Coli in a water like fluid. In the model the bacteria are represented by molecular dynamics (MD) particles while the fluid is represented by a lattice Boltzmann method (LBM). The MD particles are coupled to the LB fluid using a frictional point coupling that ensures momentum conservation of the total system. We present collective transient dynamics of up to 4000 bacteria in porous configurations. Our results show that the bacteria tend to a state of momentary stasis in regions where the underlying fluid recirculates, and thus result in a sticking behavior near the obstacles of the porous media. Our findings indicate that such a behavior is manifested mainly due to hydrodynamics interactions between a bacterium and the surfaces. Our model of bacterial replication agrees well with experimental data and ongoing work includes coupling of time scales in bacterial life cycle to model biofilms.",

author = "Kartik Jain",

year = "2019",

month = "11",

language = "English",

note = "72nd Annual Meeting of the APS Division of Fluid Dynamics, APS-DFD 2019 ; Conference date: 23-11-2019 Through 26-11-2019",

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T1 - Computational modeling of bacterial dynamics under shear flow

AU - Jain, Kartik

PY - 2019/11

Y1 - 2019/11

N2 - Bacteria can propel, proliferate and accumulate in a number of media and their dynamics are affected by shear flow. In addition to self-propulsion, bacteria can stick to each other and to surfaces where they can create fast growing colonies, called biofilm. Studies have shown that bacteria more commonly accumulate at surfaces and around obstacles. In the present work we modeled dynamics of E.Coli in a water like fluid. In the model the bacteria are represented by molecular dynamics (MD) particles while the fluid is represented by a lattice Boltzmann method (LBM). The MD particles are coupled to the LB fluid using a frictional point coupling that ensures momentum conservation of the total system. We present collective transient dynamics of up to 4000 bacteria in porous configurations. Our results show that the bacteria tend to a state of momentary stasis in regions where the underlying fluid recirculates, and thus result in a sticking behavior near the obstacles of the porous media. Our findings indicate that such a behavior is manifested mainly due to hydrodynamics interactions between a bacterium and the surfaces. Our model of bacterial replication agrees well with experimental data and ongoing work includes coupling of time scales in bacterial life cycle to model biofilms.

AB - Bacteria can propel, proliferate and accumulate in a number of media and their dynamics are affected by shear flow. In addition to self-propulsion, bacteria can stick to each other and to surfaces where they can create fast growing colonies, called biofilm. Studies have shown that bacteria more commonly accumulate at surfaces and around obstacles. In the present work we modeled dynamics of E.Coli in a water like fluid. In the model the bacteria are represented by molecular dynamics (MD) particles while the fluid is represented by a lattice Boltzmann method (LBM). The MD particles are coupled to the LB fluid using a frictional point coupling that ensures momentum conservation of the total system. We present collective transient dynamics of up to 4000 bacteria in porous configurations. Our results show that the bacteria tend to a state of momentary stasis in regions where the underlying fluid recirculates, and thus result in a sticking behavior near the obstacles of the porous media. Our findings indicate that such a behavior is manifested mainly due to hydrodynamics interactions between a bacterium and the surfaces. Our model of bacterial replication agrees well with experimental data and ongoing work includes coupling of time scales in bacterial life cycle to model biofilms.

M3 - Abstract

ER -