ArticleJournal of clinical microbiology2016
Utility of Whole-Genome Sequencing in Characterizing Acinetobacter Epidemiology and Analyzing Hospital Outbreaks.
Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed.
- Molecular Diagnostics of Infectious Diseases.Yonago acta medica · 2026Review
- Mobilization of the AbGRI4 resistance island inMicrobiology spectrum · 2026Article
- Genome sequencing for prevention of health-care-associated bacterial infections.Nature reviews. Microbiology · 2026Review
- Whole-genome analysis of extensively drug-resistantMicrobiology spectrum · 2026Article
- Culture and Adaptation of Pseudomonas aeruginosa During Early Infection in Children With Cystic Fibrosis.The Journal of infectious diseases · 2026Article
- Carbapenem-resistantMicrobiology spectrum · 2026Article
- Outbreak investigation of extensively drug-resistantFrontiers in cellular and infection microbiology · 2026Article
- Diversity versus clonality in carbapenem-resistant A. baumannii: a two-year surveillance study in four intensive care units at a large teaching hospital in Rome, Italy.Antimicrobial resistance and infection control · 2025Article
- Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA.Emerging infectious diseases · 2025Article
- Article
- Exploring SNP filtering strategies: the influence of strict vs soft core.Microbial genomics · 2025Article
- Whole-genome sequencing-based source tracing and infection control ofFrontiers in microbiology · 2025Article
- Comparison ofInfection and drug resistance · 2025Article
- Epidemiological, Phylogenetic, and Resistance Heterogeneity AmongOpen forum infectious diseases · 2024Article
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- Assessment of three antibiotic combination regimens against Gram-negative bacteria causing neonatal sepsis in low- and middle-income countries.Nature communications · 2024Article
- Article
- A cluster of six respiratory cultures positive forJournal of clinical tuberculosis and other mycobacterial diseases · 2023Article
- Application of Next-Generation Sequencing to Enterobacter Hormaechei Subspecies Analysis during a Neonatal Intensive Care Unit Outbreak.Children (Basel, Switzerland) · 2023Article
- Early detection of a possible multidrug-resistantIranian journal of microbiology · 2023Article
4 more citing papers are in PubMed but not listed here.
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3 authors.
Funding
Abstract
Acinetobacter baumannii frequently causes nosocomial infections and outbreaks. Whole-genome sequencing (WGS) is a promising technique for strain typing and outbreak investigations. We compared the performance of conventional methods with WGS for strain typing clinical Acinetobacter isolates and analyzing a carbapenem-resistant A. baumannii (CRAB) outbreak. We performed two band-based typing techniques (pulsed-field gel electrophoresis and repetitive extragenic palindromic-PCR), multilocus sequence type (MLST) analysis, and WGS on 148 Acinetobacter calcoaceticus-A. baumannii complex bloodstream isolates collected from a single hospital from 2005 to 2012. Phylogenetic trees inferred from core-genome single nucleotide polymorphisms (SNPs) confirmed three Acinetobacter species within this collection. Four major A. baumannii clonal lineages (as defined by MLST) circulated during the study, three of which are globally distributed and one of which is novel. WGS indicated that a threshold of 2,500 core SNPs accurately distinguished A. baumannii isolates from different clonal lineages. The band-based techniques performed poorly in assigning isolates to clonal lineages and exhibited little agreement with sequence-based techniques. After applying WGS to a CRAB outbreak that occurred during the study, we identified a threshold of 2.5 core SNPs that distinguished nonoutbreak from outbreak strains. WGS was more discriminatory than the band-based techniques and was used to construct a more accurate transmission map that resolved many of the plausible transmission routes suggested by epidemiologic links. Our study demonstrates that WGS is superior to conventional techniques for A. baumannii strain typing and outbreak analysis. These findings support the incorporation of WGS into health care infection prevention efforts.
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