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Applying ecological resistance and resilience to dissect bacterial antibiotic responses
An essential property of microbial communities is the ability to survive a disturbance. Survival can be achieved through resistance, the ability to absorb effects of a disturbance without a notable change, or resilience, the ability to recover after being perturbed by a disturbance. These concepts h...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281428/ https://www.ncbi.nlm.nih.gov/pubmed/30525104 http://dx.doi.org/10.1126/sciadv.aau1873 |
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author | Meredith, Hannah R. Andreani, Virgile Ma, Helena R. Lopatkin, Allison J. Lee, Anna J. Anderson, Deverick J. Batt, Gregory You, Lingchong |
author_facet | Meredith, Hannah R. Andreani, Virgile Ma, Helena R. Lopatkin, Allison J. Lee, Anna J. Anderson, Deverick J. Batt, Gregory You, Lingchong |
author_sort | Meredith, Hannah R. |
collection | PubMed |
description | An essential property of microbial communities is the ability to survive a disturbance. Survival can be achieved through resistance, the ability to absorb effects of a disturbance without a notable change, or resilience, the ability to recover after being perturbed by a disturbance. These concepts have long been applied to the analysis of ecological systems, although their interpretations are often subject to debate. Here, we show that this framework readily lends itself to the dissection of the bacterial response to antibiotic treatment, where both terms can be unambiguously defined. The ability to tolerate the antibiotic treatment in the short term corresponds to resistance, which primarily depends on traits associated with individual cells. In contrast, the ability to recover after being perturbed by an antibiotic corresponds to resilience, which primarily depends on traits associated with the population. This framework effectively reveals the phenotypic signatures of bacterial pathogens expressing extended-spectrum β-lactamases (ESBLs) when treated by a β-lactam antibiotic. Our analysis has implications for optimizing treatment of these pathogens using a combination of a β-lactam and a β-lactamase (Bla) inhibitor. In particular, our results underscore the need to dynamically optimize combination treatments based on the quantitative features of the bacterial response to the antibiotic or the Bla inhibitor. |
format | Online Article Text |
id | pubmed-6281428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62814282018-12-06 Applying ecological resistance and resilience to dissect bacterial antibiotic responses Meredith, Hannah R. Andreani, Virgile Ma, Helena R. Lopatkin, Allison J. Lee, Anna J. Anderson, Deverick J. Batt, Gregory You, Lingchong Sci Adv Research Articles An essential property of microbial communities is the ability to survive a disturbance. Survival can be achieved through resistance, the ability to absorb effects of a disturbance without a notable change, or resilience, the ability to recover after being perturbed by a disturbance. These concepts have long been applied to the analysis of ecological systems, although their interpretations are often subject to debate. Here, we show that this framework readily lends itself to the dissection of the bacterial response to antibiotic treatment, where both terms can be unambiguously defined. The ability to tolerate the antibiotic treatment in the short term corresponds to resistance, which primarily depends on traits associated with individual cells. In contrast, the ability to recover after being perturbed by an antibiotic corresponds to resilience, which primarily depends on traits associated with the population. This framework effectively reveals the phenotypic signatures of bacterial pathogens expressing extended-spectrum β-lactamases (ESBLs) when treated by a β-lactam antibiotic. Our analysis has implications for optimizing treatment of these pathogens using a combination of a β-lactam and a β-lactamase (Bla) inhibitor. In particular, our results underscore the need to dynamically optimize combination treatments based on the quantitative features of the bacterial response to the antibiotic or the Bla inhibitor. American Association for the Advancement of Science 2018-12-05 /pmc/articles/PMC6281428/ /pubmed/30525104 http://dx.doi.org/10.1126/sciadv.aau1873 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Meredith, Hannah R. Andreani, Virgile Ma, Helena R. Lopatkin, Allison J. Lee, Anna J. Anderson, Deverick J. Batt, Gregory You, Lingchong Applying ecological resistance and resilience to dissect bacterial antibiotic responses |
title | Applying ecological resistance and resilience to dissect bacterial antibiotic responses |
title_full | Applying ecological resistance and resilience to dissect bacterial antibiotic responses |
title_fullStr | Applying ecological resistance and resilience to dissect bacterial antibiotic responses |
title_full_unstemmed | Applying ecological resistance and resilience to dissect bacterial antibiotic responses |
title_short | Applying ecological resistance and resilience to dissect bacterial antibiotic responses |
title_sort | applying ecological resistance and resilience to dissect bacterial antibiotic responses |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281428/ https://www.ncbi.nlm.nih.gov/pubmed/30525104 http://dx.doi.org/10.1126/sciadv.aau1873 |
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