Antibiotic Resistance in Bacteria

The paper characterizes multidrug-resistant and ESBL-producing E. coli and K. pneumoniae in maternal and neonatal colonization in a Cameroonian labour ward, finding high prevalence of MDR isolates and blaCTX-M gene.

This study shows combining cefiderocol with aztreonam delays resistance development in NDM-producing E. cloacae complex isolates, with a 4-fold MIC reduction being a key predictor.

The paper introduces a novel index, FOGS, to measure bacterial genome plasticity by incorporating time and gene transfer events, showing higher FOGS in high-risk clones.

The paper analyzes antimicrobial resistance in Escherichia coli and Salmonella enterica from chicken farms, finding shared resistance elements and evolutionary patterns.

The paper characterizes iuc3-carrying plasmids in Klebsiella pneumoniae isolates, identifying convergent plasmids with resistance and virulence genes and highlighting their global epidemiology.

The paper evaluates three web-based tools for AMR prediction, identifying their strengths and limitations in analyzing microbial sequencing data.

ClonalTracker identifies dissemination patterns between vancomycin-resistant Enterococcus faecium isolates by analyzing genomic features and provides results on a public webserver and GitHub.

This study identifies DacC in Acinetobacter baumannii as a dual-enzyme with DD-carboxypeptidase and β-lactamase activities that affect cell shape, biofilm formation, and antibiotic susceptibility.

The paper uses dynamical simulations and experiments to identify a distal site in an antibiotic resistance enzyme that modulates activity when mutated.

This study isolates and characterizes Escherichia coli from liver abscess samples, revealing its molecular features and antibiotic resistance profile.

This study examines how pyoverdine and ceftazidime interact with E. coli resistance evolution, showing combination treatment reduces resistance development.

This study identifies genetic vulnerabilities and antibiotic sensitivities in Acinetobacter baumannii using CRISPRi, revealing key targets and interactions for therapeutic development.

The paper introduces a method to visualize and quantify structural diversity around mobile resistance genes using pangraph, applied to beta-lactamase genes to show correlations between mutational and structural evolution.

This study characterizes genomic, epigenomic, and transcriptional resistance mechanisms in carbapenem and colistin-resistant Klebsiella pneumoniae and Enterobacter isolates.

MOBFinder classifies plasmid metagenomic fragments into MOB categories using natural language models, achieving higher accuracy than existing tools.

MACI identifies drug classes of antibiotic resistance genes from metagenomic data using machine learning, achieving high precision and recall for multidrug resistant classes.

This study identifies a carbapenem-resistant Pseudomonas aeruginosa strain co-harboring blaKPC-2 and blaVIM-2 genes, revealing their genetic environment and plasmid-mediated transmission.

The paper analyzes WGS data of E. coli isolates to show that blaTEM gene amplification correlates with resistance to AMC and TZP but not SAM, highlighting the need for comprehensive analysis of genetic determinants in BL/BLI resistance.

The paper identifies a Tn7-like transposon carrying blaIMP-1 in carbapenem-resistant Pseudomonas aeruginosa strains and describes its genetic structure and potential role in intrahospital dissemination.

This study identifies the target pathway of a novel antimicrobial compound and discovers synergies with existing antibiotics using genome-wide screening in Gram-negative bacteria.

This study investigates genomic, functional, and metabolic adaptations of Enterobacter bugandensis isolated from the ISS, revealing resistance mechanisms and microbial interactions that contribute to its persistence in space.

The paper identifies four chromosomally clustered class-C β-lactamases (blaAmpH1/2/3/4) in Mycobacterium tuberculosis responsible for cephalosporin hydrolysis, while these genes are pseudogenes in M. leprae.

This paper introduces plasmidEC and gplas2 to accurately predict and reconstruct antibiotic resistance plasmids in E. coli using short-read sequencing data, outperforming existing methods.

The paper develops an interpretable model to predict antimicrobial resistance in Escherichia coli from livestock and companion animals using genomic and phenotypic data.

This study identifies genetic and structural mechanisms of colistin resistance in Klebsiella pneumoniae, showing mutations and insertion sequences disrupt lipid A modification and regulatory networks.

The paper analyzes the resistome, virulome, and mobilome of Klebsiella aerogenes using 561 genomes, identifying resistance mechanisms, virulence factors, and plasmid content across global isolates.

The paper uses machine learning to predict antimicrobial resistance phenotypes from genomic data across 28 bacterial genera, identifying 528 species-specific genomic pathways to resistance.

The paper identifies known and novel antimicrobial resistance genes across 12 species using pangenomics, gene annotation, and machine learning, finding gene transfer is mostly species-specific and demonstrating improved methods for AMR gene discovery.

This study characterizes an outbreak of XDR CRAB belonging to the IC2 clone in a Brazilian hospital, highlighting its resistance profile and potential spread during the COVID-19 pandemic.

This study characterizes the genomic features of a pandrug-resistant Klebsiella pneumoniae isolate from Brazil, identifying multiple resistance mechanisms contributing to its multidrug resistance profile.