Cargando…

Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses

Most bacteria and archaea are infected by latent viruses that change their physiology and responses to environmental stress. We use a population model of the bacterium-phage relationship to examine the role that latent phage play in the bacterial population over time in response to antibiotic treatm...

Descripción completa

Detalles Bibliográficos
Autores principales: Clifton, Sara M., Kim, Ted, Chandrashekhar, Jayadevi H., O’Toole, George A., Rapti, Zoi, Whitaker, Rachel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774016/
https://www.ncbi.nlm.nih.gov/pubmed/31575664
http://dx.doi.org/10.1128/mSystems.00221-19
_version_ 1783456018727960576
author Clifton, Sara M.
Kim, Ted
Chandrashekhar, Jayadevi H.
O’Toole, George A.
Rapti, Zoi
Whitaker, Rachel J.
author_facet Clifton, Sara M.
Kim, Ted
Chandrashekhar, Jayadevi H.
O’Toole, George A.
Rapti, Zoi
Whitaker, Rachel J.
author_sort Clifton, Sara M.
collection PubMed
description Most bacteria and archaea are infected by latent viruses that change their physiology and responses to environmental stress. We use a population model of the bacterium-phage relationship to examine the role that latent phage play in the bacterial population over time in response to antibiotic treatment. We demonstrate that the stress induced by antibiotic administration, even if bacteria are resistant to killing by antibiotics, is sufficient to control the infection under certain conditions. This work expands the breadth of understanding of phage-antibiotic synergy to include both temperate and chronic viruses persisting in their latent form in bacterial populations. IMPORTANCE Antibiotic resistance is a growing concern for management of common bacterial infections. Here, we show that antibiotics can be effective at subinhibitory levels when bacteria carry latent phage. Our findings suggest that specific treatment strategies based on the identification of latent viruses in individual bacterial strains may be an effective personalized medicine approach to antibiotic stewardship.
format Online
Article
Text
id pubmed-6774016
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-67740162019-10-15 Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses Clifton, Sara M. Kim, Ted Chandrashekhar, Jayadevi H. O’Toole, George A. Rapti, Zoi Whitaker, Rachel J. mSystems Research Article Most bacteria and archaea are infected by latent viruses that change their physiology and responses to environmental stress. We use a population model of the bacterium-phage relationship to examine the role that latent phage play in the bacterial population over time in response to antibiotic treatment. We demonstrate that the stress induced by antibiotic administration, even if bacteria are resistant to killing by antibiotics, is sufficient to control the infection under certain conditions. This work expands the breadth of understanding of phage-antibiotic synergy to include both temperate and chronic viruses persisting in their latent form in bacterial populations. IMPORTANCE Antibiotic resistance is a growing concern for management of common bacterial infections. Here, we show that antibiotics can be effective at subinhibitory levels when bacteria carry latent phage. Our findings suggest that specific treatment strategies based on the identification of latent viruses in individual bacterial strains may be an effective personalized medicine approach to antibiotic stewardship. American Society for Microbiology 2019-10-01 /pmc/articles/PMC6774016/ /pubmed/31575664 http://dx.doi.org/10.1128/mSystems.00221-19 Text en Copyright © 2019 Clifton et al. https://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 (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Clifton, Sara M.
Kim, Ted
Chandrashekhar, Jayadevi H.
O’Toole, George A.
Rapti, Zoi
Whitaker, Rachel J.
Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_full Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_fullStr Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_full_unstemmed Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_short Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_sort lying in wait: modeling the control of bacterial infections via antibiotic-induced proviruses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774016/
https://www.ncbi.nlm.nih.gov/pubmed/31575664
http://dx.doi.org/10.1128/mSystems.00221-19
work_keys_str_mv AT cliftonsaram lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses
AT kimted lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses
AT chandrashekharjayadevih lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses
AT otoolegeorgea lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses
AT raptizoi lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses
AT whitakerrachelj lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses