Complete Genome Sequences of Three Outbreak-Associated Legionella pneumophila Isolates
Shatavia S Morrison1, Heta P Desai1, Jeffrey W Mercante1
1Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Abstract:
We report here the complete genome sequences of three Legionella pneumophila isolates that are associated with a Legionnaires' disease outbreak in New York in 2012. Two clinical isolates (D7630 and D7632) and one environmental isolate (D7631) were recovered from this outbreak. A single isolate-specific virulence gene was found in D7632. These isolates were included in a large study evaluating the genomic resolution of various bioinformatics approaches for L. pneumophila serogroup 1 isolates.
Insights
Genomic sequencing of Legionella pneumophila isolates from a 2012 New York Legionnaires' disease outbreak revealed unique virulence genes. This study aids in understanding bacterial evolution and outbreak investigations.
Area of Science:
- Microbiology
- Genomics
- Infectious Diseases
Background:
- Legionnaires' disease is a severe pneumonia caused by Legionella bacteria.
- Understanding the genetic diversity of Legionella pneumophila is crucial for tracking outbreaks.
Purpose of the Study:
- To sequence the complete genomes of three Legionella pneumophila isolates from a 2012 New York outbreak.
- To identify potential virulence factors and compare clinical and environmental isolates.
Main Methods:
- Whole-genome sequencing of two clinical and one environmental Legionella pneumophila isolates.
- Bioinformatic analysis to compare genomic features and identify isolate-specific genes.
Main Results:
- Complete genome sequences for three Legionella pneumophila isolates (D7630, D7632, D7631) were obtained.
- A unique virulence gene was identified in the clinical isolate D7632.
- These isolates were part of a larger comparative study on bioinformatics approaches for L. pneumophila serogroup 1.
Conclusions:
- The genomic data provides valuable insights into the genetic makeup of Legionella pneumophila during an outbreak.
- Identification of isolate-specific genes can contribute to understanding pathogenicity and transmission.
- This work supports the development of advanced bioinformatics tools for pathogen surveillance.
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