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      ATP-Dependent Persister Formation in Escherichia coli

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          ABSTRACT

          Persisters are dormant variants that form a subpopulation of cells tolerant to antibiotics. Persisters are largely responsible for the recalcitrance of chronic infections to therapy. In Escherichia coli, one widely accepted model of persister formation holds that stochastic accumulation of ppGpp causes activation of the Lon protease that degrades antitoxins; active toxins then inhibit translation, resulting in dormant, drug-tolerant persisters. We found that various stresses induce toxin-antitoxin (TA) expression but that induction of TAs does not necessarily increase persisters. The 16S rRNA promoter rrnB P1 was proposed to be a persister reporter and an indicator of toxin activation regulated by ppGpp. Using fluorescence-activated cell sorting (FACS), we confirmed the enrichment for persisters in the fraction of rrnB P1 -gfp dim cells; however, this is independent of toxin-antitoxins. rrnB P1 is coregulated by ppGpp and ATP. We show that rrnB P1 can report persisters in a relA/ spoT deletion background, suggesting that rrnB P1 is a persister marker responding to ATP. Consistent with this finding, decreasing the level of ATP by arsenate treatment causes drug tolerance. Lowering ATP slows translation and prevents the formation of DNA double-strand breaks upon fluoroquinolone treatment. We conclude that variation in ATP levels leads to persister formation by decreasing the activity of antibiotic targets.

          IMPORTANCE

          Persisters are a subpopulation of antibiotic-tolerant cells responsible for the recalcitrance of chronic infections. Our current understanding of persister formation is primarily based on studies of E. coli. The activation of toxin-antitoxin systems by ppGpp has become a widely accepted model for persister formation. In this study, we found that stress-induced activation of mRNA interferase-type toxins does not necessarily cause persister formation. We also found that the persister marker rrnB P1 reports persister cells because it detects a drop in cellular ATP levels. Consistent with this, lowering the ATP level decreases antibiotic target activity and, thus, leads to persister formation. We conclude that stochastic variation in ATP is the main mechanism of persister formation. A decrease in ATP provides a satisfactory explanation for the drug tolerance of persisters, since bactericidal antibiotics act by corrupting energy-dependent targets.

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          Most cited references49

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          Bacterial persistence as a phenotypic switch.

          A fraction of a genetically homogeneous microbial population may survive exposure to stress such as antibiotic treatment. Unlike resistant mutants, cells regrown from such persistent bacteria remain sensitive to the antibiotic. We investigated the persistence of single cells of Escherichia coli with the use of microfluidic devices. Persistence was linked to preexisting heterogeneity in bacterial populations because phenotypic switching occurred between normally growing cells and persister cells having reduced growth rates. Quantitative measurements led to a simple mathematical description of the persistence switch. Inherent heterogeneity of bacterial populations may be important in adaptation to fluctuating environments and in the persistence of bacterial infections.
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            Persister cells and tolerance to antimicrobials.

            Bacterial populations produce persister cells that neither grow nor die in the presence of microbicidal antibiotics. Persisters are largely responsible for high levels of biofilm tolerance to antimicrobials, but virtually nothing was known about their biology. Tolerance of Escherichia coli to ampicillin and ofloxacin was tested at different growth stages to gain insight into the nature of persisters. The number of persisters did not change in lag or early exponential phase, and increased dramatically in mid-exponential phase. Similar dynamics were observed with Pseudomonas aeruginosa (ofloxacin) and Staphylococcus aureus (ciprofloxacin and penicillin). This shows that production of persisters depends on growth stage. Maintaining a culture of E. coli at early exponential phase by reinoculation eliminated persisters. This suggests that persisters are not at a particular stage in the cell cycle, neither are they defective cells nor cells created in response to antibiotics. Our data indicate that persisters are specialized survivor cells.
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              A comprehensive library of fluorescent transcriptional reporters for Escherichia coli.

              E. coli is widely used for systems biology research; there exists a need, however, for tools that can be used to accurately and comprehensively measure expression dynamics in individual living cells. To address this we present a library of transcriptional fusions of gfp to each of about 2,000 different promoters in E. coli K12, covering the great majority of the promoters in the organism. Each promoter fusion is expressed from a low-copy plasmid. We demonstrate that this library can be used to obtain highly accurate dynamic measurements of promoter activity on a genomic scale, in a glucose-lactose diauxic shift experiment. The library allowed detection of about 80 previously uncharacterized transcription units in E. coli, including putative internal promoters within previously known operons, such as the lac operon. This library can serve as a tool for accurate, high-resolution analysis of transcription networks in living E. coli cells.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                MBio
                mbio
                mbio
                mBio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                7 February 2017
                Jan-Feb 2017
                : 8
                : 1
                : e02267-16
                Affiliations
                [1]Department of Biology, Antimicrobial Discovery Center, Northeastern University, Boston, Massachusetts, USA
                Indiana University Bloomington
                Author notes
                Address correspondence to Kim Lewis, k.lewis@ 123456neu.edu .
                [*]

                Present address: Autumn Brown Gandt, Arietis Corporation, Boston, Massachusetts, USA; Sarah E. Rowe, Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina, USA; Julia P. Deisinger, Institute of Medical Microbiology, Immunology and Parasitology, University of Bonn, Bonn, Germany; Brian P. Conlon, Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina, USA.

                Y.S. and A.B.G. contributed equally to this work.

                This article is a direct contribution from a Fellow of the American Academy of Microbiology. External solicited reviewers: Helen Zgurskaya, University of Oklahoma; Eduardo Groisman, Yale School of Medicine.

                Article
                mBio02267-16
                10.1128/mBio.02267-16
                5296605
                28174313
                11048bde-8820-4721-a722-16f985b5b96d
                Copyright © 2017 Shan et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 16 December 2016
                : 4 January 2017
                Page count
                supplementary-material: 10, Figures: 5, Tables: 1, Equations: 0, References: 71, Pages: 14, Words: 10238
                Funding
                Funded by: DH | National Institute for Health Research (NIHR) https://doi.org/10.13039/501100000272
                Award ID: R01AI110578
                Award Recipient : Kim Lewis
                Funded by: Charles A. King Trust https://doi.org/10.13039/100008601
                Award ID: Fellowship
                Award Recipient : Brian P Conlon
                Categories
                Research Article
                Custom metadata
                January/February 2017

                Life sciences
                Life sciences

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