Literature DB >> 30075256

Insights into the long-term persistence of Legionella in facilities from whole-genome sequencing.

Megan Wells1, Erica Lasek-Nesselquist2, Dianna Schoonmaker-Bopp3, Deborah Baker3, Lisa Thompson3, Danielle Wroblewski3, Elizabeth Nazarian3, Pascal Lapierre3, Kimberlee A Musser3.   

Abstract

We investigated the value of whole-genome sequencing (WGS) and single nucleotide polymorphism (SNP) analyses in determining the relationships among and evolutionary rates of Legionella species with long-term persistence in three healthcare facilities. We examined retrospective clinical and environmental isolates of Legionella micdadei and Legionella pneumophila serogroup 1 isolates with identical PFGE DNA fingerprints sampled over the course of up to 18 years. WGS analyses demonstrated that heterogeneous populations of Legionella were present within each facility despite displaying the same PFGE profiles. Additionally, clustering of some clinical isolates with those from a separate but related institution exposed a source of infection not previously detected, underscoring the importance of considering phylogenetic relationships when assessing epidemiological links. The data supported an average substitution rate of 0.80 SNPs per genome per year for L. micdadei but a reliable estimate for L. pneumophila serogroup 1 could not be obtained due to complicating factors such as non-chronological links among isolates and inadequate sampling depths. While the substitution rate for L. micdadei is consistent with previous estimates for L. pneumophila, the lack of a temporal signal in our sequence data for L. pneuomphila serogroup 1 isolates suggests either insufficient change to provide an estimate or variable evolutionary rates, which could reflect the presence of both actively dividing and viable but non-culturable Legionella spp. in the built environment. This study highlights the increased discriminatory power of WGS SNP analysis as compared to PFGE, emphasizes the need for extended sampling, and provides insight into the evolution of Legionella from longitudinal investigations.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Evolution; Legionella micdadei; Legionella pneumophila; Long-term persistence; Substitution rate; Whole-genome sequencing analysis (WGS)

Mesh:

Year:  2018        PMID: 30075256     DOI: 10.1016/j.meegid.2018.07.040

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  3 in total

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

Authors:  Wolfgang Haas; Pascal Lapierre; Kimberlee A Musser
Journal:  J Clin Microbiol       Date:  2021-01-21       Impact factor: 5.948

2.  Improvements to the Success of Outbreak Investigations of Legionnaires' Disease: 40 Years of Testing and Investigation in New York State.

Authors:  Dianna Schoonmaker-Bopp; Elizabeth Nazarian; David Dziewulski; Ernest Clement; Deborah J Baker; Michelle C Dickinson; Amy Saylors; Neculai Codru; Lisa Thompson; Pascal Lapierre; Nellie Dumas; Ronald Limberger; Kimberlee A Musser
Journal:  Appl Environ Microbiol       Date:  2021-07-27       Impact factor: 4.792

3.  Legionella pneumophila in Municipal Shower Systems in Stavanger, Norway; A Longitudinal Surveillance Study Using Whole Genome Sequencing in Risk Management.

Authors:  Anne Vatland Krøvel; Eva Bernhoff; Elin Austerheim; Markus André Soma; Monica Regine Romstad; Iren Høyland Löhr
Journal:  Microorganisms       Date:  2022-02-28
  3 in total

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