Regulatory proteins control a transcriptional network in response to antibiotic stress
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ABSTRACT:
ORGANISM(S): Escherichia coli
PROVIDER: GSE156896 | GEO | 2020/12/04
REPOSITORIES: GEO
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Project description:Several groups have shown that through evolution experiments, tolerance and resistance evolved rapidly under cyclic antibiotic treatment. In other words, intermittent antibiotic exposure performed in a typical adaptive laboratory evolution (ALE) experiments will “train” the bacteria to become tolerant/resistant to the drug. Although ALE has added new knowledge regarding the impact of varying treatment conditions on the evolution of tolerance/resistance, the role of some parameters such as population bottlenecks remains poorly understood. In this study, we employed ALE to investigate the evolution of methicillin-resistant S. aureus under repetitive daptomycin treatment using a modified protocol that incorporated population bottleneck following antibiotic exposure. We observed that although tolerance development is slower under bottlenecking conditions, the populations finally attained tolerance mutation in the yycH gene after twelve cycles of treatment. Extending the evolution experiment and changing the treatment scheme to a fast evolution protocol (treatment during exponential phase without bottlenecking) led to the emergence of daptomycin resistance (mutation in mprF gene). Through proteomics, we uncovered the differential adaptation strategies of these daptomycin tolerant and resistant MRSA strains, and how they respond differently to antibiotics compared to the ancestral wild-type.
2022-07-16 | PXD031078 | Pride
Project description:When the survivors of antibiotic treatment (persisters) are repeatedly regrown and retreated with the same antibiotic for several cycles, the new population will soon adapt to the treatment condition and become tolerant to the drug. Here, we did evolution experiments on Escherichia coli populations by treating it with daily high concentration of different antibiotics (ampicillin, ciprofloxacin and apramycin) approximating clinical dosage, during the rapid growth-exponential phase. After a few cycles, we observed that the evolved populations exhibit extremely high tolerance to the drug, which are achieved by single point mutations in one of several genes. Interestingly, treatment with different antibiotics led to the selection of different mutants despite the shared persistence phenotype. Here, we applied spectral counting-based quantitative proteomics to study the proteome profile of the evolved E. coli populations from different cyclic antibiotic treatments.
2020-01-10 | PXD013326 | Pride
Project description:Several groups have shown that through evolution experiments, tolerance evolved rapidly under cyclic antibiotic treatment which then promote the emergence of resistance. In other words, intermittent antibiotic exposure will “train” the bacteria to become tolerant to the drug, and then boost the chances for them to become fully resistant. This evolutionary trajectory of evolving tolerance and resistance not only occurs in vitro, but also in clinical patients with MRSA blood infections. Despite the fact that repetitive antibiotic treatment will lead to tolerance and resistance development in bacterial populations, the difference on the evolutionary path between those treated with a single drug and drug combination remains unaddressed. In this study, we monitored the development of tolerance in MRSA by treating them with either daptomycin alone for 2 weeks (Scheme 1), or daptomycin combined with rifampin for two weeks (Scheme 2), in a cyclic manner. In addition, we also investigate another scenario where we treat MRSA cells with daptomycin alone for one week, and subsequently treat them with daptomycin and rifampin combination in the second week (Scheme 3). At the end of the evolution experiment, we observed that the population from Scheme 1 developed tolerance towards daptomycin, the population from Scheme 2 developed both tolerance and resistance towards daptomycin, while the population from Scheme 3 developed tolerance after a week of treatment, but then the tolerance phenotype diminished at the end of the second week due to the drug combination treatment. We subjected them to whole genome sequencing and identified single point mutations that are responsible for the observed phenotype. Through proteomics, we compared the proteome profile of the population evolved from scheme 1 (S1D14), scheme 2 (S2D14) and scheme 3 (S3D14), and we observed that these three populations employ distinct mechanisms to survive antibiotic treatment, suggesting that the treatment strategy for these populations should be tailored depending on the treatment conditions.
2021-07-27 | PXD021667 | Pride
Project description:Kaiser2014 - Salmonella persistence after ciprofloxacin treatment
The model describes the bacterial tolerance to antibiotics. Using a mouse model for Salmonella diarrhea, the authors have found that bacterial persistence occurs in the presence of the antibiotic ciprofloxacin because Salmonella can exist in two different states. One, the fast-growing population that spreads in the host's tissues and the other, slow-growing "persister" population that hide out inside dendritic cells of the host's immune system and cannot be attacked by the antibiotics. However, this can be killed by adding agents that directly stimulate the host's immune defense.
This model is described in the article:
Cecum lymph node dendritic cells harbor slow-growing bacteria phenotypically tolerant to antibiotic treatment.
Kaiser P, Regoes RR, Dolowschiak T, Wotzka SY, Lengefeld J, Slack E, Grant AJ, Ackermann M, Hardt WD.
PLoS Biol. 2014 Feb 18;12(2):e1001793.
Abstract:
In vivo, antibiotics are often much less efficient than ex vivo and relapses can occur. The reasons for poor in vivo activity are still not completely understood. We have studied the fluoroquinolone antibiotic ciprofloxacin in an animal model for complicated Salmonellosis. High-dose ciprofloxacin treatment efficiently reduced pathogen loads in feces and most organs. However, the cecum draining lymph node (cLN), the gut tissue, and the spleen retained surviving bacteria. In cLN, approximately 10%-20% of the bacteria remained viable. These phenotypically tolerant bacteria lodged mostly within CD103⁺CX₃CR1⁻CD11c⁺ dendritic cells, remained genetically susceptible to ciprofloxacin, were sufficient to reinitiate infection after the end of the therapy, and displayed an extremely slow growth rate, as shown by mathematical analysis of infections with mixed inocula and segregative plasmid experiments. The slow growth was sufficient to explain recalcitrance to antibiotics treatment. Therefore, slow-growing antibiotic-tolerant bacteria lodged within dendritic cells can explain poor in vivo antibiotic activity and relapse. Administration of LPS or CpG, known elicitors of innate immune defense, reduced the loads of tolerant bacteria. Thus, manipulating innate immunity may augment the in vivo activity of antibiotics.
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2014-03-25 | BIOMD0000000527 | BioModels
Project description:Drug resistance and tolerance eliminate the therapeutic potential of antibiotics against pathogens. Antibiotic tolerance by bacterial biofilms often leads to persistent infections, but its mechanisms are unclear. To uncover antibiotic tolerance mechanisms in biofilms, we applied stable isotope labeling with amino acids (SILAC) proteomics to selectively label and compare proteomes of sensitive and tolerant subpopulations of biofilms formed by Pseudomonas aeruginosa towards colistin, a 'last-resort' antibiotic against multidrug-resistant Gram-negative pathogens. Migration was essential in forming colistin-tolerant biofilm subpopulations, as colistin-tolerant cell-aggregates migrated with type IV pili, onto the top of killed biofilm. The colistin-tolerant cell-aggregates employed quorum sensing (QS) to initiate the formation of fresh colistin-tolerant subpopulations, highlighting multicellular behavior in antibiotic tolerance development. Erythromycin treatment which inhibits motility and QS, boosted biofilm eradication by colistin. This novel ‘-omics’ strategy to study antibiotic tolerant cells provides key insights for designing novel treatments against infections unsuppressed by conventional antimicrobials.
2016-02-16 | PXD002369 | Pride
Project description:Several groups have shown that through evolution experiments, tolerance and resistance evolved rapidly under cyclic antibiotic treatment. In other words, intermittent antibiotic exposure performed in a typical adaptive laboratory evolution (ALE) experiments will “train” the bacteria to become tolerant/resistant to the drug. Using this experimental strategy, we performed in vitro laboratory evolution in MRSA using daptomycin, and mine novel daptomycin tolerance and resistance mutants, which were isolated at specific time points during the evolution experiments. Three daptomycin-tolerant isolates with different tolerance level were generated from our laboratory evolution (TOL2 and TOL5 with a mild-tolerance phenotype, and TOL6 with a high-tolerance phenotype). They all bear mutations at different genes, and have no increase in MIC towards daptomycin. Besides, we also isolated three daptomycin-resistant isolates (RES1, RES2, RES3) that have a single point mutation in the same gene, mprF, but at different locations, leading to an increased MIC towards daptomycin. Through proteomics, we uncovered the differential adaptation strategies of these daptomycin tolerant and resistant MRSA strains, and how they respond differently to antibiotics compared to the ancestral wild-type.
2022-07-14 | PXD026741 | Pride
Project description:Bacteria in biofilms have higher antibiotic tolerance than their planktonic counterparts. A major outstanding question is the degree to which the biofilm-specific cellular state and its constituent genetic determinants contribute to this hyper-tolerant phenotype. Here, using genome-wide functional profiling of a complex, heterogeneous mutant population of Pseudomonas aeruginosa MPAO1, we identified large sets of mutations that contribute to antibiotic tolerance predominantly in the biofilm or planktonic setting only. Our mixed population-based experimental design recapitulated the complexity of natural biofilms and, unlike previous studies, revealed clinically observed behaviors including the emergence of quorum sensing-deficient mutants. Our study revealed a substantial contribution of the cellular state to the antibiotic tolerance of biofilms, providing a rational foundation for the development of novel therapeutics against P. aeruginosa biofilm-associated infections. This dataset compares the expression of SAH108, a strain with enhanced antibiotic tolerance in the biofilm state, to expression in wild-type strains. We compared the expression of two biological replicates from strain SAH108 to samples from three wild-type, reference strains. All samples were collected from exponentially-growing planktonic cultures.
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Project description:Pseudomonas aeruginosa is an opportunistic pathogen known to cause both acute and chronic infections. P. aeruginosa often encounters hypoxic/anoxic environments within the host, which increases its tolerance to many conventional antibiotics. Towards identifying novel therapeutic treatments, we have been exploring the potential of chlorate, a pro-drug that kills hypoxic/anoxic, antibiotic-tolerant P. aeruginosa populations. Chlorate kills P. aeruginosa when it is enzymatically reduced by hypoxically-induced nitrate reductase, thereby generating the toxic oxidizing agent, chlorite. To better assess its therapeutic potential, we investigated mechanisms of chlorate toxicity and resistance in P. aeruginosa. We combined transposon mutagenesis and high-throughput sequencing to identify genes that alter P. aeruginosa fitness during chlorate treatment. We found that methionine sulfoxide reductase (msr) genes, whose products repair oxidized methionine residues, support survival during chlorate stress. We showed that chlorate treatment leads to proteome-wide methionine oxidation, which is exacerbated in a ∆msrA∆msrB strain. Highly abundant proteins were the likeliest targets of methionine oxidation, including proteins that are abundant under standard conditions (e.g. ribosomes) and proteins that increase in abundance in response to chlorate stress (e.g. protein chaperones). The addition of exogenous methionine partially rescued P. aeruginosa survival during chlorate treatment, suggesting that widespread methionine oxidation contributes to cell death. Finally, we found that decreased nitrate reductase activity is a common mechanism of chlorate resistance. Because nitrate respiration likely sustains P. aeruginosa anaerobic growth and survival within the host, developing chlorate resistance would be expected to hinder pathogen fitness in such environments.
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Project description:Bacteria in biofilms have higher antibiotic tolerance than their planktonic counterparts. A major outstanding question is the degree to which the biofilm-specific cellular state and its constituent genetic determinants contribute to this hyper-tolerant phenotype. Here, using genome-wide functional profiling of a complex, heterogeneous mutant population of Pseudomonas aeruginosa MPAO1, we identified large sets of mutations that contribute to antibiotic tolerance predominantly in the biofilm or planktonic setting only. Our mixed population-based experimental design recapitulated the complexity of natural biofilms and, unlike previous studies, revealed clinically observed behaviors including the emergence of quorum sensing-deficient mutants. Our study revealed a substantial contribution of the cellular state to the antibiotic tolerance of biofilms, providing a rational foundation for the development of novel therapeutics against P. aeruginosa biofilm-associated infections. This dataset compares the expression of SAH108, a strain with enhanced antibiotic tolerance in the biofilm state, to expression in wild-type strains.
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Project description:The human pathogenic bacterium Listeria monocytogenes was exposed to antibiotics both during clinical treatment and as a saprophyte. As one of the keys to successful treatment is continued antibiotic sensitivity, the purpose of this study was to determine if exposure to sublethal antibiotic concentrations would affect the bacterial physiology and potentially induce tolerance to antibiotics. Transcriptomic analyses demonstrated that each of four antibiotics caused a compound-specific gene expression pattern related to (the) mode-of-action of the particular antibiotic. All four antibiotics caused the same changes in expression of several metabolic genes indicating a shift from aerobic to anaerobic metabolism driven by the induction of lmo1634 and the repression of alsA and lmo1992. This shift in metabolism could be a survival strategy in response to antibiotics and is further supported by the observation that a Îlmo1634 mutant was more sensitive to bactericidal antibiotics. The monocin locus encoding a cryptic prophage was induced by co-trimoxazole and repressed by ampicillin and gentamicin. This expression pattern correlated with the observed antibiotic-dependent biofilm formation, indicating a role of monocin in antibiotic-induced biofilm formation and a ÎlmaDCBA mutant confirmed this correlation. Thus, sublethal concentrations of antibiotics caused metabolic and physiological changes indicating that the organism is preparing to withstand lethal concentrations of antibiotics. Investigation of mRNA and sRNA expression profiles of L. monocytogenes EGD cells exposed to sublethal concentrations of four different antibiotics i.e. ampicillin, tetracycline, gentamicin and co-trimoxazole for 3h.
2016-06-01 | E-GEOD-65558 | biostudies-arrayexpress