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
BMJ OPEN | 2013年 / 3卷 / 01期
基金
英国医学研究理事会; 英国惠康基金;
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.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Rapid, comprehensive, and affordable mycobacterial diagnosis with whole-genome sequencing: a prospective study
    Pankhurst, Louise J.
    Elias, Carlos del Ojo
    Votintseva, Antonina A.
    Walker, Timothy M.
    Cole, Kevin
    Davies, Jim
    Fermont, Jilles M.
    Gascoyne-Binzi, Deborah M.
    Kohl, Thomas A.
    Kong, Clare
    Lemaitre, Nadine
    Niemann, Stefan
    Paul, John
    Rogers, Thomas R.
    Roycroft, Emma
    Smith, E. Grace
    Supply, Philip
    Tang, Patrick
    Wilcox, Mark H.
    Wordsworth, Sarah
    Wyllie, David
    Xu, Li
    Crook, Derrick W.
    LANCET RESPIRATORY MEDICINE, 2016, 4 (01): : 49 - 58
  • [22] Diving Deep Into Hospital-Acquired Legionella pneumophila With Whole-Genome Sequencing
    Beatson, Scott A.
    Bartley, Paul B.
    CLINICAL INFECTIOUS DISEASES, 2017, 64 (09) : 1260 - 1262
  • [23] Whole-Genome Sequencing of Bacterial Pathogens: the Future of Nosocomial Outbreak Analysis
    Quainoo, Scott
    Coolen, Jordy P. M.
    van Hijum, Sacha A. F. T.
    Huynen, Martijn A.
    Melchers, Willem J. G.
    van Schaik, Willem
    Wertheim, Heiman F. L.
    CLINICAL MICROBIOLOGY REVIEWS, 2017, 30 (04) : 1015 - 1063
  • [24] Whole-Genome Sequencing and Social-Network Analysis of a Tuberculosis Outbreak
    Gardy, Jennifer L.
    Johnston, James C.
    Sui, Shannan J. Ho
    Cook, Victoria J.
    Shah, Lena
    Brodkin, Elizabeth
    Rempel, Shirley
    Moore, Richard
    Zhao, Yongjun
    Holt, Robert
    Varhol, Richard
    Birol, Inanc
    Lem, Marcus
    Sharma, Meenu K.
    Elwood, Kevin
    Jones, Steven J. M.
    Brinkman, Fiona S. L.
    Brunham, Robert C.
    Tang, Patrick
    NEW ENGLAND JOURNAL OF MEDICINE, 2011, 364 (08): : 730 - 739
  • [25] Selected insights from application of whole-genome sequencing for outbreak investigations
    Vien Thi Minh Le
    Diep, Binh An
    CURRENT OPINION IN CRITICAL CARE, 2013, 19 (05) : 432 - 439
  • [26] Whole-genome sequencing unveils the outbreak of Mycoplasma pneumoniae in mainland China
    Chen, Yan
    Li, Xi
    Fu, Ying
    Yu, Yunsong
    Thou, Hua
    LANCET MICROBE, 2024, 5 (09):
  • [28] Whole-genome sequencing of Mycobacterium tuberculosis for rapid diagnostics and beyond
    Colijn, Caroline
    Cohen, Ted
    LANCET RESPIRATORY MEDICINE, 2016, 4 (01): : 6 - 8
  • [29] Whole-Genome Sequencing Reveals the Contribution of Long-Term Carriers in Staphylococcus aureus Outbreak Investigation
    Gordon, N. C.
    Pichon, B.
    Golubchik, T.
    Wilson, D. J.
    Paul, J.
    Blanc, D. S.
    Cole, K.
    Collins, J.
    Cortes, N.
    Cubbon, M.
    Gould, F. K.
    Jenks, P. J.
    Llewelyn, M.
    Nash, J. Q.
    Orendi, J. M.
    Paranthaman, K.
    Price, J. R.
    Senn, L.
    Thomas, H. L.
    Wyllie, S.
    Crook, D. W.
    Peto, T. E. A.
    Walker, A. S.
    Kearns, A. M.
    JOURNAL OF CLINICAL MICROBIOLOGY, 2017, 55 (07) : 2188 - 2197
  • [30] Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary
    Sundermann, Alexander J.
    Chen, Jieshi
    Miller, James K.
    Martin, Elise M.
    Snyder, Graham M.
    Van Tyne, Daria
    Marsh, Jane W.
    Dubrawski, Artur
    Harrison, Lee H.
    ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY, 2022, 2 (01):