TY - JOUR
T1 - Multi-step genomic dissection of a suspected intra-hospital helicobacter cinaedi outbreak
AU - Gotoh, Yasuhiro
AU - Taniguchi, Takako
AU - Yoshimura, Dai
AU - Katsura, Keisuke
AU - Saeki, Yuji
AU - Hirabara, Yasutoshi
AU - Fukuda, Mayumi
AU - Takajo, Ichiro
AU - Tomida, Junko
AU - Kawamura, Yoshiaki
AU - Ogura, Yoshitoshi
AU - Itoh, Takehiko
AU - Misawa, Naoaki
AU - Okayama, Akihiko
AU - Hayashi, Tetsuya
N1 - Funding Information:
This study was supported by the Integrated Research Project for Human and Veterinary Medicine of the University of Miyazaki, Japan to N.M., and JSPS KAKENHI grant numbers JP25670468 and JP17K17933 to Y. G.
Publisher Copyright:
© 2019 The Authors.
PY - 2019/1
Y1 - 2019/1
N2 - 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.
AB - 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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U2 - 10.1099/mgen.0.000236
DO - 10.1099/mgen.0.000236
M3 - Article
C2 - 30629483
AN - SCOPUS:85059829777
SN - 2057-5858
VL - 5
JO - Microbial Genomics
JF - Microbial Genomics
IS - 1
M1 - 000236
ER -