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Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria

It is now well appreciated that members of pathogenic bacterial populations exhibit heterogeneity in growth rates and metabolic activity, and it is known this can impact the ability to eliminate all members of the bacterial population during antibiotic treatment. It remains unclear which pathways pr...

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Autores principales: Patel, Pavan, O’Hara, Brendan J., Aunins, Emily, Davis, Kimberly M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291646/
https://www.ncbi.nlm.nih.gov/pubmed/34214139
http://dx.doi.org/10.1371/journal.ppat.1009284
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author Patel, Pavan
O’Hara, Brendan J.
Aunins, Emily
Davis, Kimberly M.
author_facet Patel, Pavan
O’Hara, Brendan J.
Aunins, Emily
Davis, Kimberly M.
author_sort Patel, Pavan
collection PubMed
description It is now well appreciated that members of pathogenic bacterial populations exhibit heterogeneity in growth rates and metabolic activity, and it is known this can impact the ability to eliminate all members of the bacterial population during antibiotic treatment. It remains unclear which pathways promote slowed bacterial growth within host tissues, primarily because it has been difficult to identify and isolate slow growing bacteria from host tissues for downstream analyses. To overcome this limitation, we have developed a novel variant of TIMER, a slow-folding fluorescent protein, named DsRed(42), to identify subsets of slowly dividing bacteria within host tissues. The original TIMER folds too slowly for fluorescence accumulation in quickly replicating bacterial species (Escherichia coli, Yersinia pseudotuberculosis), however DsRed(42) accumulates red fluorescence in late stationary phase cultures of E. coli and Y. pseudotuberculosis. We show DsRed(42) signal also accumulates during exposure to sources of nitric oxide (NO), suggesting DsRed(42) signal detects growth-arrested bacterial cells. In a mouse model of Y. pseudotuberculosis deep tissue infection, DsRed(42) signal was detected, and primarily accumulates in bacteria expressing markers of stationary phase growth. There was no significant overlap between DsRed(42) signal and NO-exposed subpopulations of bacteria within host tissues, suggesting NO stress was transient, allowing bacteria to recover from this stress and resume replication. This novel DsRed(42) variant represents a tool that will enable additional studies of slow-growing subpopulations of bacteria, specifically within bacterial species that quickly divide.
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spelling pubmed-82916462021-07-31 Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria Patel, Pavan O’Hara, Brendan J. Aunins, Emily Davis, Kimberly M. PLoS Pathog Research Article It is now well appreciated that members of pathogenic bacterial populations exhibit heterogeneity in growth rates and metabolic activity, and it is known this can impact the ability to eliminate all members of the bacterial population during antibiotic treatment. It remains unclear which pathways promote slowed bacterial growth within host tissues, primarily because it has been difficult to identify and isolate slow growing bacteria from host tissues for downstream analyses. To overcome this limitation, we have developed a novel variant of TIMER, a slow-folding fluorescent protein, named DsRed(42), to identify subsets of slowly dividing bacteria within host tissues. The original TIMER folds too slowly for fluorescence accumulation in quickly replicating bacterial species (Escherichia coli, Yersinia pseudotuberculosis), however DsRed(42) accumulates red fluorescence in late stationary phase cultures of E. coli and Y. pseudotuberculosis. We show DsRed(42) signal also accumulates during exposure to sources of nitric oxide (NO), suggesting DsRed(42) signal detects growth-arrested bacterial cells. In a mouse model of Y. pseudotuberculosis deep tissue infection, DsRed(42) signal was detected, and primarily accumulates in bacteria expressing markers of stationary phase growth. There was no significant overlap between DsRed(42) signal and NO-exposed subpopulations of bacteria within host tissues, suggesting NO stress was transient, allowing bacteria to recover from this stress and resume replication. This novel DsRed(42) variant represents a tool that will enable additional studies of slow-growing subpopulations of bacteria, specifically within bacterial species that quickly divide. Public Library of Science 2021-07-02 /pmc/articles/PMC8291646/ /pubmed/34214139 http://dx.doi.org/10.1371/journal.ppat.1009284 Text en © 2021 Patel et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Patel, Pavan
O’Hara, Brendan J.
Aunins, Emily
Davis, Kimberly M.
Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria
title Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria
title_full Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria
title_fullStr Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria
title_full_unstemmed Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria
title_short Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria
title_sort modifying timer to generate a slow-folding dsred derivative for optimal use in quickly-dividing bacteria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291646/
https://www.ncbi.nlm.nih.gov/pubmed/34214139
http://dx.doi.org/10.1371/journal.ppat.1009284
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