ArticleJournal of clinical microbiology2025
The dark matter of bacterial genomic surveillance-antimicrobial resistance plasmid transmissions in the hospital setting.
Article in Journal of clinical microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Phenotypic and Genetic Profile, Biofilm-Forming Ability and Antibiotic Sensibility of ESBL-ProducingAntibiotics (Basel, Switzerland) · 2026Article
- Molecular Characterisation and Descriptive Analysis of Carbapenemase-Producing Enterobacterales: Striking Epidemiological Changes.Antibiotics (Basel, Switzerland) · 2026Article
- Argyrin B exhibits potent therapeutic efficacy in a Clostridioides difficile-infection mouse model while preserving microbiota functionality.npj antimicrobials and resistance · 2026Article
- Species identification and genotyping ofMicrobiology spectrum · 2026Article
- Epidemiological and Molecular Surveillance of Multiresistant Citrobacter freundii Complex in a Tertiary Care Hospital: A Retrospective Cohort Study.The Journal of infectious diseases · 2026Article
- Resolving plasmid-encoded carbapenem resistance dynamics and reservoirs in a hospital setting through nanopore sequencing.Microbial genomics · 2026Article
- Challenges and considerations for whole-genome-based antimicrobial resistance plasmid investigations.Antimicrobial agents and chemotherapy · 2025Review
- ACCIO: An Assembly-Based Tool Enabling Plasmid Detection.medRxiv : the preprint server for health sciences · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
Dissemination of antimicrobial resistance (AMR) is a growing global public health burden. The aim of this study was to characterize AMR plasmid transmissions within a tertiary care hospital and identify relevant AMR plasmid transmission pathways. During an 18-month observation period, 540 clinical gram-negative multidrug-resistant bacterial (MDRB) isolates were collected during routine hospital surveillance and subjected to Pacific Biosciences long-read whole genome sequencing. Potential clonal transmissions were determined based on core genome multilocus sequence typing (cgMLST), and plasmid transmissions were detected using a novel real-time applicable tool for plasmid transmission detection. Potential transmissions were validated using epidemiological data. Among the 471 eligible MDRB isolates, we detected 1,539 plasmids; 84.41% of these were circularized. We identified 38 potential clonal transmissions in 24 clusters based on cgMLST and 121 potential plasmid transmissions in 24 clusters containing genetically related AMR plasmids. Among the latter clusters, 10 contained different multilocus sequence types (involving 2-38 isolates, median: 3 isolates), and nine contained multiple species (2-18 isolates, median: 4). Epidemiological data confirmed 19 clonal transmissions (in seven clusters) and an additional 12 plasmid transmissions (within eight plasmid clusters). Among these, we identified seven cases of intra-host and five patient-to-patient plasmid transmissions. We demonstrate that intra-host and patient-to-patient transmissions of AMR plasmids can be identified by combining long-read sequencing with real-time applicable tools during routine molecular surveillance. In addition, our study highlights that more than a decade of bacterial genomic surveillance missed at least one-third of all AMR transmission events due to plasmids. IMPORTANCE: Antimicrobial resistance (AMR) poses a significant threat to human health. Most AMR determinants are encoded extra-chromosomally on plasmids. Although current infection control strategies primarily focus on clonal transmission of multidrug-resistant bacteria, until today, AMR plasmid transmission routes are neither understood nor analyzed in the hospital setting. In our study, we simultaneously determined both clonal, that is, based on chromosomes, and AMR plasmid transmissions during routine molecular surveillance by combining long-read sequencing with a novel real-time applicable software tool and validated all potential transmission events with epidemiological data. Our analysis determined not only the yet unknown plasmid transmissions within healthcare facilities or within the community but also resulted, in addition to the clonal transmissions, in at least a third more transmissions due to AMR plasmids.
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