Ontology highlight
ABSTRACT:
PROVIDER: PRJNA882261 | ENA |
REPOSITORIES: ENA
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Project description:With the global increase in the use of carbapenems, several gram-negative bacteria have acquired carbapenem resistance, thereby limiting treatment options. Klebsiella pneumoniae is one of such notorious pathogen that is being widely studied to find novel resistance mechanisms and drug targets. These antibiotic-resistant clinical isolates generally harbor many genetic alterations, and identification of causal mutations will provide insights into the molecular mechanisms of antibiotic resistance. We propose a method to prioritize mutated genes responsible for antibiotic resistance, in which mutated genes that also show significant expression changes among their functionally coupled genes become more likely candidates. For network-based analyses, we developed a genome-scale co-functional network of K. pneumoniae genes, KlebNet (www.inetbio.org/klebnet). Using KlebNet, we could reconstruct functional modules for antibiotic-resistance, and virulence, and retrieved functional association between them. With complementation assays with top candidate genes, we could validate a gene for negative regulation of meropenem resistance and four genes for positive regulation of virulence in Galleria mellonella larvae. Therefore, our study demonstrated the feasibility of network-based identification of genes required for antimicrobial resistance and virulence of human pathogenic bacteria with genomic and transcriptomic profiles from antibiotic-resistant clinical isolates.
2018-06-10 | GSE115539 | GEO
Project description:Emerging known and unknown pathogens create profound threats to public health. Platforms for rapid detection and characterization of microbial agents are critically needed to prevent and respond to disease outbreaks. Available detection technologies cannot provide broad functional information about known and novel organisms. As a step toward developing such a system, we have produced and tested a series of high-density functional gene arrays to detect elements of virulence and antibiotic resistance mechanisms. Our first generation array targets genes from Escherichia coli strains K12 and CFT073, Enterococcus faecalis and Staphylococcus aureus. We determined optimal probe design parameters for gene family detection and discrimination. When tested with organisms at varying phylogenetic distances from the four target strains, the array detected orthologs for the majority of targeted gene families present in bacteria belonging to the same taxonomic family. In combination with whole-genome amplification, the array detects femtogram concentrations of purified DNA, either spiked in to an aerosol sample background, or in combinations from one or more of the four target organisms. This is the first report of a high density NimbleGen microarray system targeting microbial antibiotic resistance and virulence mechanisms. By targeting virulence gene families as well as genes unique to specific biothreat agents, these arrays will provide important data about the pathogenic potential and drug resistance profiles of unknown organisms in environmental samples. Keywords: detection, pathogen, virulence mechanism In this report, we describe the process used to design our first generation functional array for highly sensitive detection of virulence and antibiotic resistance gene families. We discuss the probe design algorithms, including virulence gene sequence selection, and our protocols for sample preparation, amplification, labeling, hybridization, and data analysis. We present the results from experiments designed to assess whether the array can detect virulence gene orthologs from organisms without perfect match probes on the array, using both targeted mismatch probes and hybridizations to DNA from other organisms. Also, we report the results from limit of detection studies, using known amounts of bacterial DNA spiked into aerosol samples to measure the minimal concentration required for detection of virulence elements against a complex background.
2008-04-02 | E-GEOD-11010 | biostudies-arrayexpress
Project description:Emerging known and unknown pathogens create profound threats to public health. Platforms for rapid detection and characterization of microbial agents are critically needed to prevent and respond to disease outbreaks. Available detection technologies cannot provide broad functional information about known and novel organisms. As a step toward developing such a system, we have produced and tested a series of high-density functional gene arrays to detect elements of virulence and antibiotic resistance mechanisms. Our first generation array targets genes from Escherichia coli strains K12 and CFT073, Enterococcus faecalis and Staphylococcus aureus. We determined optimal probe design parameters for gene family detection and discrimination. When tested with organisms at varying phylogenetic distances from the four target strains, the array detected orthologs for the majority of targeted gene families present in bacteria belonging to the same taxonomic family. In combination with whole-genome amplification, the array detects femtogram concentrations of purified DNA, either spiked in to an aerosol sample background, or in combinations from one or more of the four target organisms. This is the first report of a high density NimbleGen microarray system targeting microbial antibiotic resistance and virulence mechanisms. By targeting virulence gene families as well as genes unique to specific biothreat agents, these arrays will provide important data about the pathogenic potential and drug resistance profiles of unknown organisms in environmental samples. Keywords: detection, pathogen, virulence mechanism
2008-04-02 | GSE11010 | GEO
Project description:Incomplete antibiotic removal in pharmaceutical wastewater treatment plants (PWWTPs) could lead to the development and spread of antibiotic-resistant bacteria (ARBs) and genes (ARGs) in the environment, posing a growing public health threat. In this study, two multiantibiotic-resistant bacteria, Ochrobactrum intermedium (N1) and Stenotrophomonas acidaminiphila (N2), were isolated from the sludge of a PWWTP in Guangzhou, China. The N1 strain was highly resistant to ampicillin, cefazolin, chloramphenicol, tetracycline, and norfloxacin, while the N2 strain exhibited high resistance to ampicillin, chloramphenicol, and cefazolin. Whole-genome sequencing revealed that N1 and N2 had genome sizes of 0.52 Mb and 0.37 Mb, respectively, and harbored 33 and 24 ARGs, respectively. The main resistance mechanism in the identified ARGs included efflux pumps, enzymatic degradation, and target bypass, with the N1 strain possessing more multidrug-resistant efflux pumps than the N2 strain (22 vs 12). This also accounts for the broader resistance spectrum of N1 than of N2 in antimicrobial susceptibility tests. Additionally, both genomes contain numerous mobile genetic elements (89 and 21 genes, respectively) and virulence factors (276 and 250 factors, respectively), suggesting their potential for horizontal transfer and pathogenicity. Overall, this research provides insights into the potential risks posed by ARBs in pharmaceutical wastewater and emphasizes the need for further studies on their impact and mitigation strategies.
2024-10-20 | E-MTAB-14497 | biostudies-arrayexpress
Project description:In light of the antibiotic crisis, emerging strategies to sensitize bacteria to available antibiotics should be explored. Several studies on the mechanisms of killing suggest that bactericidal antibiotic activity is enforced through the generation of reactive oxygen species (ROS lethality hypothesis). Here, we artificially manipulated the redox homeostasis of the model opportunistic pathogen Pseudomonas aeruginosa using specific enzymes that catalyze either the formation or oxidation of NADH. Increased NADH levels led to the activation of antibiotic efflux pumps and high levels of antibiotic resistance. However, higher NADH levels also resulted in increased intracellular ROS and amplified antibiotic killing. Our results demonstrate that growth inhibition and killing activity are mediated via different mechanisms. Furthermore, the profound changes in bioenergetics produced low virulence phenotypes characterized by reduced inter-bacterial signaling controlled pathogenicity traits. Our results pave the way for a more effective infection resolution and add an anti-virulence strategy to maximize chances to combat devastating P. aeruginosa infections while reducing the overall use of antibiotics.
2021-11-17 | GSE188801 | GEO
Project description:The widespread presence of antibiotic-resistant bacteria in the environment has been recognized as an important emerging environmental contaminant. Hospital wards, as a special public indoor environment, are of great concern for the risks associated with this emerging environmental contaminant. Pseudomonas aeruginosa, a common nosocomial bacterium, is a contamination risk in the hospital environment due to its drug resistance and transmission of virulence factors. Notably, the antimicrobial peptide-sensing two-component system (TCS) ParRS and CprRS have been implicated in dynorphin-induced signaling, but the underlying Manuscript2 mechanism has remained elusive. In this study, we performed proteomic analysis to systematically investigate the contributions of ParRS and CprRS to P. aeruginosa pathogenesis and dynorphin-induced resistance to polymyxins. Additionally, we characterized the significance of the extracellular sensor domains of ParS and CprS in dynorphin perception. Furthermore, through structural biology, we identified additional TCS sensors with similar extracellular domain conformations, which also directly interacted with dynorphin in vitro. This suggests convergent evolution in different bacterial TCSs for host-derived synthetic peptide signal transmitting. Our findings establish a link between CAMPs resistance associated TCSs and virulence regulation of common nosocomial bacteria. This further illustrates the danger of this emerging contaminant for the environment and humans.
2024-07-04 | PXD043746 | Pride
Project description:V. vulnificus is an emergent pathogen and causes deadly septicemia in human. Protein acetylation regulates many important biological processes in bacteria. In this study, we identified the first lysine acetylome of V. vulnificus based on the whole-genome sequence of a cefoxitin-resistant strain isolated from a mortality case in China. A total of 6,626 acetylation sites at 1,924 acetylated proteins were uncovered, which to our knowledge represented the largest acetylated protein number that has been identified in bacteria. The presence of acetylation sites in virulence- and antibiotic resistance-related proteins further indicated the important role of acetylated modification on bacterial virulence and antibiotic resistance. Further investigation on the regulatory mechanisms will provide a better understanding of pathogen-host interactions in this increasingly pathogen.
2020-12-01 | PXD020376 | Pride
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