Bayesian estimation of Pseudomonas aeruginosa viscoelastic properties based on creep responses of wild type, rugose, and mucoid variant biofilms
Bayesian estimation of Pseudomonas aeruginosa viscoelastic properties based on creep responses of wild type, rugose, and mucoid variant biofilms
Pseudomonas aeruginosa biofilms are relevant for a variety of disease settings, including pulmonary infections in people with cystic fibrosis. Biofilms are initiated by individual bacteria that undergo a phenotypic switch and produce an extracellular polymeric slime (EPS). However, the viscoelastic characteristics of biofilms at different stages of formation and the contributions of different EPS constituents have not been fully explored. For this purpose, we develop and parameterize a mathematical model to study the rheological behavior of three biofilms — P. aeruginosa wild type PAO1, isogenic rugose small colony variant (RSCV), and mucoid variant biofilms against a range of experimental data. Using Bayesian inference to estimate these viscoelastic properties, we quantify the rheological characteristics of the biofilm EPS. We employ a Monte Carlo Markov Chain algorithm to estimate these properties of P. aeruginosa variant biofilms in comparison to those of wild type. This information helps us understand the rheological behavior of biofilms at different stages of their development. The mechanical properties of wild type biofilms change significantly over time and are more sensitive to small changes in their composition than the other two mutants.
bayesian estimation, biofilm,, biomechanics, extracellular polymeric slime,, viscoelasticity, Biomechanics, Viscoelasticity, Bayesian estimation, Biofilm, Extracellular polymeric slime
Nooranidoost, Mohammad
2837d092-b4f0-47a8-943a-9d78a7b76d4b
Cogan, Nick G.
a13ad860-fb80-4ccd-b695-08b18095df0c
Stoodley, Paul
08614665-92a9-4466-806e-20c6daeb483f
Gloag, Erin S.
36de1738-c25d-4eb7-acd3-1ad55d9a7cee
Hussaini, M. Yousuff
5d292dec-0e3a-4b76-a55e-44ceff72f14c
December 2023
Nooranidoost, Mohammad
2837d092-b4f0-47a8-943a-9d78a7b76d4b
Cogan, Nick G.
a13ad860-fb80-4ccd-b695-08b18095df0c
Stoodley, Paul
08614665-92a9-4466-806e-20c6daeb483f
Gloag, Erin S.
36de1738-c25d-4eb7-acd3-1ad55d9a7cee
Hussaini, M. Yousuff
5d292dec-0e3a-4b76-a55e-44ceff72f14c
Nooranidoost, Mohammad, Cogan, Nick G., Stoodley, Paul, Gloag, Erin S. and Hussaini, M. Yousuff
(2023)
Bayesian estimation of Pseudomonas aeruginosa viscoelastic properties based on creep responses of wild type, rugose, and mucoid variant biofilms.
Biofilm, 5, [100133].
(doi:10.1016/j.bioflm.2023.100133).
Abstract
Pseudomonas aeruginosa biofilms are relevant for a variety of disease settings, including pulmonary infections in people with cystic fibrosis. Biofilms are initiated by individual bacteria that undergo a phenotypic switch and produce an extracellular polymeric slime (EPS). However, the viscoelastic characteristics of biofilms at different stages of formation and the contributions of different EPS constituents have not been fully explored. For this purpose, we develop and parameterize a mathematical model to study the rheological behavior of three biofilms — P. aeruginosa wild type PAO1, isogenic rugose small colony variant (RSCV), and mucoid variant biofilms against a range of experimental data. Using Bayesian inference to estimate these viscoelastic properties, we quantify the rheological characteristics of the biofilm EPS. We employ a Monte Carlo Markov Chain algorithm to estimate these properties of P. aeruginosa variant biofilms in comparison to those of wild type. This information helps us understand the rheological behavior of biofilms at different stages of their development. The mechanical properties of wild type biofilms change significantly over time and are more sensitive to small changes in their composition than the other two mutants.
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Accepted/In Press date: 31 May 2023
e-pub ahead of print date: 3 June 2023
Published date: December 2023
Additional Information:
Funding Information:
P.S. acknowledges support from NIH R01 GM124436 grant.
Publisher Copyright:
© 2023
Keywords:
bayesian estimation, biofilm,, biomechanics, extracellular polymeric slime,, viscoelasticity, Biomechanics, Viscoelasticity, Bayesian estimation, Biofilm, Extracellular polymeric slime
Identifiers
Local EPrints ID: 477800
URI: http://eprints.soton.ac.uk/id/eprint/477800
ISSN: 2590-2075
PURE UUID: f4941c26-2e5b-4b0a-96ce-4efcb7df7098
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Date deposited: 14 Jun 2023 16:51
Last modified: 17 Mar 2024 03:18
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Contributors
Author:
Mohammad Nooranidoost
Author:
Nick G. Cogan
Author:
Erin S. Gloag
Author:
M. Yousuff Hussaini
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