2021
DOI: 10.1038/s41598-021-95542-1
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Biofilm viscoelasticity and nutrient source location control biofilm growth rate, migration rate, and morphology in shear flow

Abstract: We present a numerical model to simulate the growth and deformation of a viscoelastic biofilm in shear flow under different nutrient conditions. The mechanical interaction between the biofilm and the fluid is computed using the Immersed Boundary Method with viscoelastic parameters determined a priori from measurements reported in the literature. Biofilm growth occurs at the biofilm-fluid interface by a stochastic rule that depends on the local nutrient concentration. We compare the growth, migration, and morph… Show more

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Cited by 15 publications
(11 citation statements)
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References 60 publications
(65 reference statements)
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“…surface area that appears covered by a layer of cells when observed by a microscope), of average 93.6±5.5% (Table 1S). The generally accepted statement concerning cells in biofilms is that cells located in the top (T) layer of biofilm require more access to oxygen and to nutrients than the cells located in the bottom (B) parts of the biofilm [27]. Therefore, the latter cells are characterized by a lower metabolic activity and by an increased tolerance to these antimicrobials which act through interference with such energy-requiring processes as protein translation.…”
Section: Resultsmentioning
confidence: 99%
“…surface area that appears covered by a layer of cells when observed by a microscope), of average 93.6±5.5% (Table 1S). The generally accepted statement concerning cells in biofilms is that cells located in the top (T) layer of biofilm require more access to oxygen and to nutrients than the cells located in the bottom (B) parts of the biofilm [27]. Therefore, the latter cells are characterized by a lower metabolic activity and by an increased tolerance to these antimicrobials which act through interference with such energy-requiring processes as protein translation.…”
Section: Resultsmentioning
confidence: 99%
“…IBM was originally developed by Peskin [70] in the 1970s to simulate blood flow in cardiac mechanics. Since then, it has been broadly used to simulate hydrodynamic interactions between deformable or rigid solid structures and the surrounding fluid in diverse applications [71,72]. In the IBM, the equations of fluid dynamics -represented by the NSE -is discretized in the Eulerian frame, whereas the elastic immersed structure is defined in the Lagrangian frame using a set of IB nodes.…”
Section: Immersed Boundary Methods (Ibm)mentioning
confidence: 99%
“…S6 (ESI †) where we altered Choosing parameter values. We assume the average doubling time of around 2 h 73,74 corresponding to the dimensionless growth rate: GR C 1.33 Â 10 À4 . Next, for simplicity we assume that the matrix secretion rate is the same as the growth rate GR = SR.…”
Section: #Cells MLmentioning
confidence: 99%