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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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Published in: | PLoS pathogens 2021-07, Vol.17 (7), p.e1009284-e1009284 |
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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. |
doi_str_mv | 10.1371/journal.ppat.1009284 |
format | article |
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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.</description><identifier>ISSN: 1553-7374</identifier><identifier>ISSN: 1553-7366</identifier><identifier>EISSN: 1553-7374</identifier><identifier>DOI: 10.1371/journal.ppat.1009284</identifier><identifier>PMID: 34214139</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Antibiotics ; Bacteria ; Bacterial growth ; Biology and Life Sciences ; Cell division ; Cloning ; E coli ; Escherichia coli ; Fluorescence ; Fluorescent proteins ; Folding ; Genetic aspects ; Growth rate ; Heterogeneity ; Host-bacteria relationships ; Hypotheses ; Infections ; Medicine and Health Sciences ; Mutagenesis ; Neutrophils ; Nitric oxide ; Physical Sciences ; Properties ; Protein folding ; Proteins ; Pseudotuberculosis ; Research and Analysis Methods ; Stationary phase ; Subpopulations ; Tissue analysis ; Tissues</subject><ispartof>PLoS pathogens, 2021-07, Vol.17 (7), p.e1009284-e1009284</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Patel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Patel et al 2021 Patel et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c568t-2248a867c68dacefecc05cca51d130921eb9447933494374e860efdf9d20a65b3</citedby><cites>FETCH-LOGICAL-c568t-2248a867c68dacefecc05cca51d130921eb9447933494374e860efdf9d20a65b3</cites><orcidid>0000-0003-0138-2744 ; 0000-0003-1870-3137 ; 0000-0003-2401-8224</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2561940713/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2561940713?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><contributor>Helaine, Sophie</contributor><creatorcontrib>Patel, Pavan</creatorcontrib><creatorcontrib>O'Hara, Brendan J</creatorcontrib><creatorcontrib>Aunins, Emily</creatorcontrib><creatorcontrib>Davis, Kimberly M</creatorcontrib><title>Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria</title><title>PLoS pathogens</title><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.</description><subject>Antibiotics</subject><subject>Bacteria</subject><subject>Bacterial growth</subject><subject>Biology and Life Sciences</subject><subject>Cell division</subject><subject>Cloning</subject><subject>E coli</subject><subject>Escherichia coli</subject><subject>Fluorescence</subject><subject>Fluorescent proteins</subject><subject>Folding</subject><subject>Genetic aspects</subject><subject>Growth rate</subject><subject>Heterogeneity</subject><subject>Host-bacteria relationships</subject><subject>Hypotheses</subject><subject>Infections</subject><subject>Medicine and Health Sciences</subject><subject>Mutagenesis</subject><subject>Neutrophils</subject><subject>Nitric oxide</subject><subject>Physical Sciences</subject><subject>Properties</subject><subject>Protein folding</subject><subject>Proteins</subject><subject>Pseudotuberculosis</subject><subject>Research and Analysis Methods</subject><subject>Stationary phase</subject><subject>Subpopulations</subject><subject>Tissue analysis</subject><subject>Tissues</subject><issn>1553-7374</issn><issn>1553-7366</issn><issn>1553-7374</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqVkk1v1DAQhiMEoqXwD5CIxKUcsvgrjn1BqkqBlVqQlnK2vPYkdcnGW9tZ2H-PtxsQi3pBPtgaP_POvKMpipcYzTBt8NtbP4ZB97P1WqcZRkgSwR4Vx7iuadXQhj3-631UPIvxFiGGKeZPiyPKCM5veVzcXHnr2q0buvJ6fnWxKJMvOxgg6ASlLmPvf1St7-0OeB8XYEsLwW10chsoWx9Kv05upftyjFC6obwbnfnebyvrNu4-aalNyhn6efGk1X2EF9N9Unz7cHF9_qm6_PJxfn52WZmai1QRwoQWvDFcWG2gBWNQbYyuscU0e8SwlIw1klImWXYGgiNobSstQZrXS3pSvNrrrnsf1TSkqEjNsWSowTQT8z1hvb5V65DbD1vltVP3AR86pUNypgfVsBpLLqUkTc2sEIJxjkWNJHBEJCVZ691UbVyuwBoYUtD9gejhz-BuVOc3ShCJOeNZ4HQSCP5uhJjUykUDfa8H8OOubyYYJlSwjL7-B33Y3UR1OhtwQ-tzXbMTVWe8QVIQgWSmZg9Q-VhYOeMHaF2OHyS8OUjITIKfqdNjjGr-dfEf7OdDlu1ZE3yMAdo_s8NI7fb8t0m123M17Tn9BQQQ7SM</recordid><startdate>20210702</startdate><enddate>20210702</enddate><creator>Patel, Pavan</creator><creator>O'Hara, Brendan J</creator><creator>Aunins, Emily</creator><creator>Davis, Kimberly M</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QL</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0138-2744</orcidid><orcidid>https://orcid.org/0000-0003-1870-3137</orcidid><orcidid>https://orcid.org/0000-0003-2401-8224</orcidid></search><sort><creationdate>20210702</creationdate><title>Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria</title><author>Patel, Pavan ; 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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.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>34214139</pmid><doi>10.1371/journal.ppat.1009284</doi><orcidid>https://orcid.org/0000-0003-0138-2744</orcidid><orcidid>https://orcid.org/0000-0003-1870-3137</orcidid><orcidid>https://orcid.org/0000-0003-2401-8224</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antibiotics Bacteria Bacterial growth Biology and Life Sciences Cell division Cloning E coli Escherichia coli Fluorescence Fluorescent proteins Folding Genetic aspects Growth rate Heterogeneity Host-bacteria relationships Hypotheses Infections Medicine and Health Sciences Mutagenesis Neutrophils Nitric oxide Physical Sciences Properties Protein folding Proteins Pseudotuberculosis Research and Analysis Methods Stationary phase Subpopulations Tissue analysis Tissues |
title | Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria |
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