Pyoverdine-antibiotic combination treatment: its efficacy and effects on resistance evolution in Escherichia coli
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB80222 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR13670537_1.fastq.gz | Fastqsanger.gz | |||
| ERR13670537_2.fastq.gz | Fastqsanger.gz | |||
| ERR13670538_1.fastq.gz | Fastqsanger.gz | |||
| ERR13670538_2.fastq.gz | Fastqsanger.gz | |||
| ERR13670539_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 62 |
Similar Datasets
Project description:Bacteria often evolve antibiotic resistance through mutagenesis. However, the processes causing the mutagenesis have not been fully resolved. Here we found that a broad range of ribosome-targeting antibiotics caused mutations through an underexplored pathway. Focusing on the clinically important aminoglycoside gentamicin, we found that the translation inhibitor caused genome-wide premature stalling of RNA polymerase (RNAP) in a loci-dependent manner. Further analysis showed that the stalling was caused by disruption of transcription-translation coupling. Anti-intuitively, the stalled RNAPs subsequently induced lesions to the DNA via transcription-coupled repair. While most of the bacteria were killed by genotoxicity, a small subpopulation acquired mutations via SOS-induced mutagenesis. Given that these processes were triggered shortly after antibiotic addition, resistance rapidly emerged in the population. Our work revealed a new mechanism of action of ribosomal antibiotics, illustrates the importance of dissecting the complex interplay between multiple molecular processes in understanding antibiotic efficacy, and suggests new strategies for countering the development of resistance.
2024-06-24 | GSE240474 | GEO
Project description:Antibiotic resistance is a growing concern for global health, demanding innovative and effective strategies to combat pathogenic bacteria. Pyoverdines, iron-chelating siderophores produced by environmental Pseudomonas spp., present a novel class of promising compounds to induce growth arrest in pathogens through iron starvation. While we previously demonstrated the efficacy of pyoverdines as antibacterials, our understanding of how these molecules interact with antibiotics and impact resistance evolution remains unknown. Here, we investigated the propensity of three Escherichia coli strains to evolve resistance against pyoverdine, the cephalosporin antibiotic ceftazidime, and their combination. We used a naive E. coli wildtype strain and two isogenic variants carrying the bla TEM-1 β-lactamase gene on either the chromosome or a costly multicopy plasmid to explore the influence of genetic background on selection for resistance. We found that strong resistance against ceftazidime and weak resistance against pyoverdine evolved in all E. coli variants under single treatment. Ceftazidime resistance was linked to mutations in outer membrane porin genes (envZ and ompF), whereas pyoverdine resistance was associated with mutations in the oligopeptide permease (opp) operon. In contrast, ceftazidime resistance phenotypes were attenuated under combination treatment, especially for the E. coli variant carrying bla TEM-1 on the multicopy plasmid. Altogether, our results show that ceftazidime and pyoverdine interact neutrally and that pyoverdine as an antibacterial is particularly potent against plasmid-carrying E. coli strains, presumably because iron starvation compromises both cellular metabolism and plasmid replication.
| S-EPMC11536758 | biostudies-literature
Project description:In bacteria, the precise coordination of DNA replication, transcription and translation is mediated by dynamic interactions among the corresponding macromolecular machineries, playing a pivotal role in maintaining cellular homeostasis. Here we showed that such coordination could be hijacked by ribosome antibiotics to trigger secondary damage predominantly contributing to their efficacy, via a yet overlooked reverse-central-dogma pathway. Through the utilization of a self-establishing transcription dynamics profiling method, complemented by genetic and biochemical approaches, we unveil that the disruption of transcription-translation coupling leads to premature stalling of RNA polymerase (RNAP) at genome scale, subsequently triggering extensive genomic instability. Moreover, a distinct subpopulation exhibits hyperactivation of the SOS response, facilitating an inducible evolutionary path towards genetic resistance characterized by a unique mutation spectrum. Our findings reveal the emergence of secondary drug damage resulting from network disorder, and establish a framework to understand antibiotic efficacy and induced mutagenesis from a systems biology perspective.
2023-12-24 | GSE234254 | GEO
Project description:Understanding constraints which shape antibiotic resistance is key for predicting and controlling drug resistance. Here, we performed high-throughput laboratory evolution of Escherichia coli. The transcriptome, resistance, and genomic profiles for the evolved strains in 48 environments were quantitatively analyzed. By analyzing the quantitative datasets through interpretable machine learning techniques, the emergence of low dimensional phenotypic states within the 192 strains was observed. Further analysis revealed the underlying biological processes responsible for the distinct states. We also report a novel constraint which leads to decelerated evolution. These findings bridge the genotypic, gene expression, and drug resistance space, and lead to a comprehensive understanding of constraints for antibiotic resistance.
2020-10-12 | GSE137348 | GEO
Project description:Bacterial evolution of antibiotic resistance frequently has deleterious side effects on microbial growth, virulence, and susceptibility to other antimicrobial agents. However, it is unclear how these trade-offs could be utilized for manipulating antibiotic resistance in the clinic, not least because the underlying molecular mechanisms are poorly understood. Using laboratory evolution, we demonstrate that clinically relevant resistance mutations in Escherichia coli constitutively rewire a large fraction of the transcriptome in a repeatable and stereotypic manner. Strikingly, lineages adapted to functionally distinct antibiotics and having no resistance mutations in common show a wide range of parallel gene expression changes that alter oxidative stress response, iron homeostasis, and the composition of the bacterial outer membrane and cell surface. These common physiological alterations are associated with changes in cell morphology and enhanced sensitivity to antimicrobial peptides. Finally, the constitutive transcriptomic changes induced by resistance mutations are largely distinct from those induced by antibiotic stresses in the wild-type. This indicates a limited role for genetic assimilation of the induced antibiotic stress response during resistance evolution. Our work suggests that diverse resistance mutations converge on similar global transcriptomic states that shape genetic susceptibility to antimicrobial compounds.
2023-01-26 | GSE223493 | GEO
Project description:Staphylococcus aureus can cause severe invasive infections that require prolonged antibiotic treatment. Although S. aureus can easily acquire antibiotic resistance, even fully susceptible bacteria can persist and survive antibiotic therapy, thus complicating treatment. These so-called persisters are phenotypic variants of bacteria characterized by an arrested-growth phenotype that can tolerate high concentrations of chemotherapeutics and are associated with chronic and recurrent infections. Here, we show that S. aureus recovered directly from infection sites, displayed an increased bacterial lag-phase heterogeneity, forming more non-stable small colonies, indicating the presence of dormant bacteria. Infection modelling showed that host-mediated stress, including acidic pH, neutrophil exposure and murine abscesses, as well as antibiotic treatment, promoted formation of persisters both in vitro and in vivo. Proteomics and RNA sequencing revealed stress-response reactions in bacteria leading to an overall more virulent population. However, after persister-enrichment, S. aureus displayed down-regulation of pathways involved in virulence, cell division, and DNA replication, while ribosomal proteins, nucleotide-, and amino acid- metabolic pathways were up-regulated, suggesting their requirement to fuel and maintain the persister phenotype. We demonstrate that decreased aconitase activity and ATP-levels as well as accumulation of insoluble proteins correlated with dormancy and growth reactivation cycles. Combination of antibiotics with retinoid derivatives, especially CD1530, significantly reduced both persisters and total bacterial load in a murine infection model. Our study provides an in-depth characterization of S. aureus persisters and shows that treatment failure due to antibiotic persistence could be addressed by using retinoid derivatives in combination with conventional antibiotics.
2021-02-12 | PXD018332 | Pride
Project description:The rise of antibiotic resistance in many bacterial pathogens has been driven by the spread of a few successful strains, suggesting that some bacteria are genetically pre-disposed to evolving resistance. We tested this hypothesis by challenging a diverse set of 222 strains of Staphylococcus aureus with the antibiotic ciprofloxacin in a large-scale evolution experiment. Surprisingly, we found that a single efflux pump, norA, causes widespread variation in evolvability across the diversity of S. aureus. In most lineages of S. aureus, elevated norA expression potentiated evolution by increasing the fitness benefit provided by resistance mutations in DNA topoisomerase under ciprofloxacin treatment. Amplification of norA provided a further mechanism of rapid evolution, but this was restricted to strains from CC398. Crucially, chemically inhibiting NorA effectively prevented the evolution of resistance across the diversity of S. aureus. Our study shows that the underlying genetic diversity of pathogenic bacteria plays a key role in shaping resistance evolution. Understanding this link makes it possible to predict which strains are likely to evolve resistance and to optimize inhibitor use to prevent this outcome.
2020-07-05 | GSE150762 | GEO
Project description:Antibiotic resistance in our pathogens is medicine's climate change: caused by human activity, and resulting in more extreme outcomes. Resistance emerges in microbial populations when antibiotics act on phenotypic variance within the population. This can arise from either genotypic diversity (resulting from a mutation or horizontal gene transfer), or from differences in gene expression due to environmental variation, referred to as adaptive resistance. Adaptive changes can increase fitness allowing bacteria to survive at higher concentrations of antibiotics. They can also decrease fitness, potentially leading to selection for antibiotic resistance at lower concentrations. There are opportunities for other environmental stressors to promote antibiotic resistance in ways that are hard to predict using conventional assays. Exploiting our previous observation that commonly used herbicides can increase or decrease the minimum inhibitory concentration (MIC) of different antibiotics, we provide the first comprehensive test of the hypothesis that the rate of antibiotic resistance evolution under specified conditions can increase, regardless of whether a herbicide increases or decreases the antibiotic MIC. Short term evolution experiments were used for various herbicide and antibiotic combinations. We found conditions where acquired resistance arises more frequently regardless of whether the exogenous non-antibiotic agent increased or decreased antibiotic effectiveness. This is attributed to the effect of the herbicide on either MIC or the minimum selective concentration (MSC) of a paired antibiotic. The MSC is the lowest concentration of antibiotic at which the fitness of individuals varies because of the antibiotic, and is lower than MIC. Our results suggest that additional environmental factors influencing competition between bacteria could enhance the ability of antibiotics to select antibiotic resistance. Our work demonstrates that bacteria may acquire antibiotic resistance in the environment at rates substantially faster than predicted from laboratory conditions.
| S-EPMC6188010 | biostudies-literature
Project description:Loss of APC or activation of Braf V600E mutation in combination with Alk5 loss in the intestinal epithelium under the control of VilCreER, with or without antibiotic/sulindac treatment
2021-04-01 | GSE168478 | GEO
Project description:Bacteria often evolve antibiotic resistance through mutagenesis. However, the processes causing the mutagenesis have not been fully resolved. Here we found that a broad range of ribosome-targeting antibiotics caused mutations through an underexplored pathway. Focusing on the clinically important aminoglycoside gentamicin, we found that the translation inhibitor caused genome-wide premature stalling of RNA polymerase (RNAP) in a loci-dependent manner. Further analysis showed that the stalling was caused by disruption of transcription-translation coupling. Anti-intuitively, the stalled RNAPs subsequently induced lesions to the DNA via transcription-coupled repair. While most of the bacteria were killed by genotoxicity, a small subpopulation acquired mutations via SOS-induced mutagenesis. Given that these processes were triggered shortly after antibiotic addition, resistance rapidly emerged in the population. Our work revealed a new mechanism of action of ribosomal antibiotics, illustrates the importance of dissecting the complex interplay between multiple molecular processes in understanding antibiotic efficacy, and suggests new strategies for countering the development of resistance.
2024-05-15 | GSE267245 | GEO