A Bioinformatic Pipeline for Improved Genome Analysis and Clustering of Isolates during Outbreaks of Legionnaires' Disease-Reference-Cited by-同舟云学术

A Bioinformatic Pipeline for Improved Genome Analysis and Clustering of Isolates during Outbreaks of Legionnaires' Disease

Published:2021-01-21 Issue:2 Volume:59 Page:
ISSN:0095-1137
Container-title:Journal of Clinical Microbiology
language:en
Short-container-title:J Clin Microbiol

Author:

Haas Wolfgang¹^ORCID,Lapierre Pascal¹^ORCID,Musser Kimberlee A.¹^ORCID

Affiliation:

1. Wadsworth Center, New York State Department of Health, Albany, New York, USA

Abstract

Legionnaires’ disease, a severe lung infection caused by the bacterium Legionella pneumophila , occurs as single cases or in outbreaks that are actively tracked by public health departments. To determine the point source of an outbreak, clinical isolates need to be compared to environmental samples to find matching isolates.

Funder

HHS | Centers for Disease Control and Prevention

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Link

https://journals.asm.org/doi/pdf/10.1128/JCM.00967-20

Reference30 articles.

1. Legionella pneumophila: Population genetics, phylogeny and genomics

2. Genomic Resolution of Outbreak-Associated Legionella pneumophila Serogroup 1 Isolates from New York State

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4. Legionnaires’ Disease Outbreak Caused by Endemic Strain of Legionella pneumophila, New York, New York, USA, 2015

5. Evaluation of an Optimal Epidemiological Typing Scheme for Legionella pneumophila with Whole-Genome Sequence Data Using Validation Guidelines

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