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Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli

Persisters comprise a group of phenotypically heterogeneous metabolically quiescent bacteria with multidrug tolerance and contribute to the recalcitrance of chronic infections. Although recent work has shown that toxin-antitoxin (TA) system HipAB depends on stringent response effector (p)ppGppin per...

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Autores principales: Liu, Shuang, Wu, Nan, Zhang, Shanshan, Yuan, Youhua, Zhang, Wenhong, Zhang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611423/
https://www.ncbi.nlm.nih.gov/pubmed/28979246
http://dx.doi.org/10.3389/fmicb.2017.01795
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author Liu, Shuang
Wu, Nan
Zhang, Shanshan
Yuan, Youhua
Zhang, Wenhong
Zhang, Ying
author_facet Liu, Shuang
Wu, Nan
Zhang, Shanshan
Yuan, Youhua
Zhang, Wenhong
Zhang, Ying
author_sort Liu, Shuang
collection PubMed
description Persisters comprise a group of phenotypically heterogeneous metabolically quiescent bacteria with multidrug tolerance and contribute to the recalcitrance of chronic infections. Although recent work has shown that toxin-antitoxin (TA) system HipAB depends on stringent response effector (p)ppGppin persister formation, whether other persister pathways are also dependent on stringent response has not been explored. Here we examined the relationship of (p)ppGpp with 15 common persister genes (dnaK, clpB, rpoS, pspF, tnaA, sucB, ssrA, smpB, recA, umuD, uvrA, hipA, mqsR, relE, dinJ) using Escherichia coli as a model. By comparing the persister levels of wild type with their single gene knockout and double knockout mutants with relA, we divided their interactions into five types, namely A “dependent” (dnaK, recA), B “positive reinforcement” (rpoS, pspF, ssrA, recA), C “antagonistic” (clpB, sucB, umuD, uvrA, hipA, mqsR, relE, dinJ), D “epistasis” (clpB, rpoS, tnaA, ssrA, smpB, hipA), and E “irrelevant” (dnaK, clpB, rpoS, tnaA, sucB, smpB, umuD, uvrA, hipA, mqsR, relE, dinJ). We found that the persister gene interactions are intimately dependent on bacterial culture age, cell concentrations (diluted versus undiluted culture), and drug classifications, where the same gene may belong to different groups with varying antibiotics, culture age or cell concentrations. Together, this study represents the first attempt to systematically characterize the intricate relationships among the different mechanisms of persistence and as such provide new insights into the complexity of the persistence phenomenon at the level of persister gene network interactions.
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spelling pubmed-56114232017-10-04 Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli Liu, Shuang Wu, Nan Zhang, Shanshan Yuan, Youhua Zhang, Wenhong Zhang, Ying Front Microbiol Microbiology Persisters comprise a group of phenotypically heterogeneous metabolically quiescent bacteria with multidrug tolerance and contribute to the recalcitrance of chronic infections. Although recent work has shown that toxin-antitoxin (TA) system HipAB depends on stringent response effector (p)ppGppin persister formation, whether other persister pathways are also dependent on stringent response has not been explored. Here we examined the relationship of (p)ppGpp with 15 common persister genes (dnaK, clpB, rpoS, pspF, tnaA, sucB, ssrA, smpB, recA, umuD, uvrA, hipA, mqsR, relE, dinJ) using Escherichia coli as a model. By comparing the persister levels of wild type with their single gene knockout and double knockout mutants with relA, we divided their interactions into five types, namely A “dependent” (dnaK, recA), B “positive reinforcement” (rpoS, pspF, ssrA, recA), C “antagonistic” (clpB, sucB, umuD, uvrA, hipA, mqsR, relE, dinJ), D “epistasis” (clpB, rpoS, tnaA, ssrA, smpB, hipA), and E “irrelevant” (dnaK, clpB, rpoS, tnaA, sucB, smpB, umuD, uvrA, hipA, mqsR, relE, dinJ). We found that the persister gene interactions are intimately dependent on bacterial culture age, cell concentrations (diluted versus undiluted culture), and drug classifications, where the same gene may belong to different groups with varying antibiotics, culture age or cell concentrations. Together, this study represents the first attempt to systematically characterize the intricate relationships among the different mechanisms of persistence and as such provide new insights into the complexity of the persistence phenomenon at the level of persister gene network interactions. Frontiers Media S.A. 2017-09-20 /pmc/articles/PMC5611423/ /pubmed/28979246 http://dx.doi.org/10.3389/fmicb.2017.01795 Text en Copyright © 2017 Liu, Wu, Zhang, Yuan, Zhang and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Liu, Shuang
Wu, Nan
Zhang, Shanshan
Yuan, Youhua
Zhang, Wenhong
Zhang, Ying
Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli
title Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli
title_full Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli
title_fullStr Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli
title_full_unstemmed Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli
title_short Variable Persister Gene Interactions with (p)ppGpp for Persister Formation in Escherichia coli
title_sort variable persister gene interactions with (p)ppgpp for persister formation in escherichia coli
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611423/
https://www.ncbi.nlm.nih.gov/pubmed/28979246
http://dx.doi.org/10.3389/fmicb.2017.01795
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