ArticleMicrobial genomics2018
Multi-step genomic dissection of a suspected intra-hospital Helicobacter cinaedi outbreak.
Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Mobile genetic element-driven genomic changes in a community-associated methicillin-resistantMicrobial genomics · 2024Article
- How to Defeat Multidrug-Resistant Bacteria in Intensive Care Units. A Lesson from the COVID-19 Pandemic. Prevention, Reservoirs, and Implications for Clinical Practice.International journal of medical sciences · 2024Article
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- Methods Combining Genomic and Epidemiological Data in the Reconstruction of Transmission Trees: A Systematic Review.Pathogens (Basel, Switzerland) · 2022Review
- Antibiotic-resistant organisms establish reservoirs in new hospital built environments and are related to patient blood infection isolates.Communications medicine · 2022Article
- NGSocomial Infections: High-Resolution Views of Hospital-Acquired Infections Through Genomic Epidemiology.Journal of the Pediatric Infectious Diseases Society · 2021Review
- Platanus_B: an accurate de novo assembler for bacterial genomes using an iterative error-removal process.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020Article
- Genome Sequencing Verifies Relapsed Infection ofOpen forum infectious diseases · 2019Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Helicobacter cinaedi is an emerging pathogen causing bacteraemia and cellulitis. Nosocomial transmission of this microbe has been described, but detailed molecular-epidemiological analyses have not been performed. Here, we describe the results of a multi-step genome-wide phylogenetic analysis of a suspected intra-hospital outbreak of H. cinaedi that occurred in a hospital in Japan. The outbreak was recognized by the infectious control team (ICT) of the hospital as a sudden increase in H. cinaedi bacteraemia. ICT defined this outbreak case based on 16S rRNA sequence data and epidemiological information, but were unable to determine the source and route of the infections. We therefore re-investigated this case using whole-genome sequencing (WGS). We first performed a species-wide analysis using publicly available genome sequences to understand the level of genomic diversity of this under-studied species. The clusters identified were then separately analysed using the genome sequence of a representative strain in each cluster as a reference. These analyses provided a high-level phylogenetic resolution of each cluster, identified a confident set of outbreak isolates, and discriminated them from other closely related but distinct clones, which were locally circulating and invaded the hospital during the same period. By considering the epidemiological data, possible strain transmission chains were inferred, which highlighted the role of asymptomatic carriers or environmental contamination. The emergence of a subclone with increased resistance to fluoroquinolones in the outbreak was also recognized. Our results demonstrate the impact of the use of a closely related genome as a reference to maximize the power of WGS.
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