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Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa
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 biofil...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916383/ https://www.ncbi.nlm.nih.gov/pubmed/27302761 http://dx.doi.org/10.1128/mBio.00815-16 |
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author | Cogan, Nick G. Harro, Janette M. Stoodley, Paul Shirtliff, Mark E. |
author_facet | Cogan, Nick G. Harro, Janette M. Stoodley, Paul Shirtliff, Mark E. |
author_sort | Cogan, Nick G. |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-4916383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-49163832016-06-23 Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa Cogan, Nick G. Harro, Janette M. Stoodley, Paul Shirtliff, Mark E. mBio Commentary 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. American Society for Microbiology 2016-06-14 /pmc/articles/PMC4916383/ /pubmed/27302761 http://dx.doi.org/10.1128/mBio.00815-16 Text en Copyright © 2016 Cogan et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Commentary Cogan, Nick G. Harro, Janette M. Stoodley, Paul Shirtliff, Mark E. Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa |
title | Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa |
title_full | Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa |
title_fullStr | Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa |
title_full_unstemmed | Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa |
title_short | Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa |
title_sort | predictive computer models for biofilm detachment properties in pseudomonas aeruginosa |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916383/ https://www.ncbi.nlm.nih.gov/pubmed/27302761 http://dx.doi.org/10.1128/mBio.00815-16 |
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