Predictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>

ABSTRACT Microbial biofilm communities are protected against environmental extremes or clearance by antimicrobial agents or the host immune response. They also serve as a site from which microbial populations search for new niches by dispersion via single planktonic cells or by detachment by protect...

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Autores principales: Nick G. Cogan, Janette M. Harro, Paul Stoodley, Mark E. Shirtliff
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Publicado: American Society for Microbiology 2016
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Acceso en línea:https://doaj.org/article/0ff9894c538c495bb6f622dae01f5cbe
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spelling oai:doaj.org-article:0ff9894c538c495bb6f622dae01f5cbe2021-11-15T15:50:17ZPredictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>10.1128/mBio.00815-162150-7511https://doaj.org/article/0ff9894c538c495bb6f622dae01f5cbe2016-07-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.00815-16https://doaj.org/toc/2150-7511ABSTRACT Microbial biofilm communities are protected against environmental extremes or clearance by antimicrobial agents or the host immune response. They also serve as a site from which microbial populations search for new niches by dispersion via single planktonic cells or by detachment by protected biofilm aggregates that, until recently, were thought to become single cells ready for attachment. Mathematically modeling these events has provided investigators with testable hypotheses for further study. Such was the case in the recent article by Kragh et al. (K. N. Kragh, J. B. Hutchison, G. Melaugh, C. Rodesney, A. E. Roberts, Y. Irie, P. Ø. Jensen, S. P. Diggle, R. J. Allen, V. Gordon, and T. Bjarnsholt, mBio 7:e00237-16, 2016, http://dx.doi.org/10.1128/mBio.00237-16), in which investigators were able to identify the differential competitive advantage of biofilm aggregates to directly attach to surfaces compared to the single-celled planktonic populations. Therefore, as we delve deeper into the properties of the biofilm mode of growth, not only do we need to understand the complexity of biofilms, but we must also account for the properties of the dispersed and detached populations and their effect on reseeding.Nick G. CoganJanette M. HarroPaul StoodleyMark E. ShirtliffAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 7, Iss 3 (2016)
institution DOAJ
collection DOAJ
language EN
topic Microbiology
QR1-502
spellingShingle Microbiology
QR1-502
Nick G. Cogan
Janette M. Harro
Paul Stoodley
Mark E. Shirtliff
Predictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>
description ABSTRACT Microbial biofilm communities are protected against environmental extremes or clearance by antimicrobial agents or the host immune response. They also serve as a site from which microbial populations search for new niches by dispersion via single planktonic cells or by detachment by protected biofilm aggregates that, until recently, were thought to become single cells ready for attachment. Mathematically modeling these events has provided investigators with testable hypotheses for further study. Such was the case in the recent article by Kragh et al. (K. N. Kragh, J. B. Hutchison, G. Melaugh, C. Rodesney, A. E. Roberts, Y. Irie, P. Ø. Jensen, S. P. Diggle, R. J. Allen, V. Gordon, and T. Bjarnsholt, mBio 7:e00237-16, 2016, http://dx.doi.org/10.1128/mBio.00237-16), in which investigators were able to identify the differential competitive advantage of biofilm aggregates to directly attach to surfaces compared to the single-celled planktonic populations. Therefore, as we delve deeper into the properties of the biofilm mode of growth, not only do we need to understand the complexity of biofilms, but we must also account for the properties of the dispersed and detached populations and their effect on reseeding.
format article
author Nick G. Cogan
Janette M. Harro
Paul Stoodley
Mark E. Shirtliff
author_facet Nick G. Cogan
Janette M. Harro
Paul Stoodley
Mark E. Shirtliff
author_sort Nick G. Cogan
title Predictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>
title_short Predictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>
title_full Predictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>
title_fullStr Predictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>
title_full_unstemmed Predictive Computer Models for Biofilm Detachment Properties in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>
title_sort predictive computer models for biofilm detachment properties in <named-content content-type="genus-species">pseudomonas aeruginosa</named-content>
publisher American Society for Microbiology
publishDate 2016
url https://doaj.org/article/0ff9894c538c495bb6f622dae01f5cbe
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