共 21 条
A pilot study of rapid whole-genome sequencing for the investigation of a Legionella outbreak
被引:79
作者:
Reuter, Sandra
[1
]
Harrison, Timothy G.
[2
]
Koeser, Claudio U.
[3
,4
]
Ellington, Matthew J.
[4
]
Smith, Geoffrey P.
[5
]
Parkhill, Julian
[1
]
Peacock, Sharon J.
[1
,3
,4
,6
]
Bentley, Stephen D.
[1
,3
]
Toeroek, M. Estee
[3
,4
,6
]
机构:
[1] Wellcome Trust Sanger Inst, Hinxton, Cambs, England
[2] Hlth Protect Agcy Ctr Infect, Resp & Syst Infect Lab, London, England
[3] Univ Cambridge, Addenbrookes Hosp, Dept Med, Cambridge CB2 2QQ, England
[4] Cambridge Univ Hosp NHS Fdn Trust, Cambridge Publ Hlth & Microbiol Lab, Cambridge, England
[5] Illumina Cambridge Ltd, Saffron Walden, Essex, England
[6] Cambridge Univ Hosp NHS Fdn Trust, Cambridge, England
来源:
基金:
英国惠康基金;
英国医学研究理事会;
关键词:
PNEUMOPHILA SEROGROUP-1;
LEGIONNAIRES-DISEASE;
MRSA;
D O I:
10.1136/bmjopen-2012-002175
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Objectives: Epidemiological investigations of Legionnaires' disease outbreaks rely on the rapid identification and typing of clinical and environmental Legionella isolates in order to identify and control the source of infection. Rapid bacterial whole-genome sequencing (WGS) is an emerging technology that has the potential to rapidly discriminate outbreak from non-outbreak isolates in a clinically relevant time frame. Methods: We performed a pilot study to determine the feasibility of using bacterial WGS to differentiate outbreak from non-outbreak isolates collected during an outbreak of Legionnaires' disease. Seven Legionella isolates (three clinical and four environmental) were obtained from the reference laboratory and sequenced using the Illumina MiSeq platform at Addenbrooke's Hospital, Cambridge. Bioinformatic analysis was performed blinded to the epidemiological data at the Wellcome Trust Sanger Institute. Results: We were able to distinguish outbreak from non-outbreak isolates using bacterial WGS, and to confirm the probable environmental source. Our analysis also highlighted constraints, which were the small number of Legionella pneumophila isolates available for sequencing, and the limited number of published genomes for comparison. Conclusions: We have demonstrated the feasibility of using rapid WGS to investigate an outbreak of Legionnaires' disease. Future work includes building larger genomic databases of L pneumophila from both clinical and environmental sources, developing automated data interpretation software, and conducting a cost-benefit analysis of WGS versus current typing methods.
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