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Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections

Reaction–diffusion models were applied to gain insight into the aspects of biofilm infection and persistence by comparing mathematical simulations with the experimental data from varied bacterial biofilms. These comparisons, including three in vitro systems and two clinical investigations of specime...

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Autores principales: Stewart, Philip S, Zhang, Tianyu, Xu, Ruifang, Pitts, Betsey, Walters, Marshall C, Roe, Frank, Kikhney, Judith, Moter, Annette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515263/
https://www.ncbi.nlm.nih.gov/pubmed/28721248
http://dx.doi.org/10.1038/npjbiofilms.2016.12
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author Stewart, Philip S
Zhang, Tianyu
Xu, Ruifang
Pitts, Betsey
Walters, Marshall C
Roe, Frank
Kikhney, Judith
Moter, Annette
author_facet Stewart, Philip S
Zhang, Tianyu
Xu, Ruifang
Pitts, Betsey
Walters, Marshall C
Roe, Frank
Kikhney, Judith
Moter, Annette
author_sort Stewart, Philip S
collection PubMed
description Reaction–diffusion models were applied to gain insight into the aspects of biofilm infection and persistence by comparing mathematical simulations with the experimental data from varied bacterial biofilms. These comparisons, including three in vitro systems and two clinical investigations of specimens examined ex vivo, underscored the central importance of concentration gradients of metabolic substrates and the resulting physiological heterogeneity of the microorganisms. Relatively simple one-dimensional and two-dimensional (2D) models captured the: (1) experimentally determined distribution of specific growth rates measured in Pseudomonas aeruginosa cells within sputum from cystic fibrosis patients; (2) pattern of relative growth rate within aggregates of streptococcal biofilm harboured in an endocarditis vegetation; (3) incomplete penetration of oxygen into a Pseudomonas aeruginosa biofilm under conditions of exposure to ambient air and also pure oxygen; (4) localisation of anabolic activity around the periphery of P. aeruginosa cell clusters formed in a flow cell and attribution of this pattern to iron limitation; (5) very low specific growth rates, as small as 0.025 h(−1), in the interior of cell clusters within a Klebsiella pneumoniae biofilm in a complex 2D domain of variable cell density.
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spelling pubmed-55152632017-07-18 Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections Stewart, Philip S Zhang, Tianyu Xu, Ruifang Pitts, Betsey Walters, Marshall C Roe, Frank Kikhney, Judith Moter, Annette NPJ Biofilms Microbiomes Article Reaction–diffusion models were applied to gain insight into the aspects of biofilm infection and persistence by comparing mathematical simulations with the experimental data from varied bacterial biofilms. These comparisons, including three in vitro systems and two clinical investigations of specimens examined ex vivo, underscored the central importance of concentration gradients of metabolic substrates and the resulting physiological heterogeneity of the microorganisms. Relatively simple one-dimensional and two-dimensional (2D) models captured the: (1) experimentally determined distribution of specific growth rates measured in Pseudomonas aeruginosa cells within sputum from cystic fibrosis patients; (2) pattern of relative growth rate within aggregates of streptococcal biofilm harboured in an endocarditis vegetation; (3) incomplete penetration of oxygen into a Pseudomonas aeruginosa biofilm under conditions of exposure to ambient air and also pure oxygen; (4) localisation of anabolic activity around the periphery of P. aeruginosa cell clusters formed in a flow cell and attribution of this pattern to iron limitation; (5) very low specific growth rates, as small as 0.025 h(−1), in the interior of cell clusters within a Klebsiella pneumoniae biofilm in a complex 2D domain of variable cell density. Nature Publishing Group 2016-06-22 /pmc/articles/PMC5515263/ /pubmed/28721248 http://dx.doi.org/10.1038/npjbiofilms.2016.12 Text en Copyright © 2016 Published in partnership with Nanyang Technological University http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Stewart, Philip S
Zhang, Tianyu
Xu, Ruifang
Pitts, Betsey
Walters, Marshall C
Roe, Frank
Kikhney, Judith
Moter, Annette
Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections
title Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections
title_full Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections
title_fullStr Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections
title_full_unstemmed Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections
title_short Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections
title_sort reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515263/
https://www.ncbi.nlm.nih.gov/pubmed/28721248
http://dx.doi.org/10.1038/npjbiofilms.2016.12
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