Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France
Supporting Files
Public Domain
-
Sep 17 2017
-
File Language:
English
Details
-
Alternative Title:Emerg Infect Dis
-
Personal Author:Moura, Alexandra ; Tourdjman, Mathieu ; Leclercq, Alexandre ; Hamelin, Estelle ; Laurent, Edith ; Fredriksen, Nathalie ; Van Cauteren, Dieter ; Bracq-Dieye, Hélène ; Thouvenot, Pierre ; Vales, Guillaume ; Tessaud-Rita, Nathalie ; Maury, Mylène M. ; Alexandru, Andreea ; Criscuolo, Alexis ; Quevillon, Emmanuel ; Donguy, Marie-Pierre ; Enouf, Vincent ; de Valk, Henriette ; Brisse, Sylvain ; Lecuit, Marc
-
Description:During 2015-2016, we evaluated the performance of whole-genome sequencing (WGS) as a routine typing tool. Its added value for microbiological and epidemiologic surveillance of listeriosis was compared with that for pulsed-field gel electrophoresis (PFGE), the current standard method. A total of 2,743 Listeria monocytogenes isolates collected as part of routine surveillance were characterized in parallel by PFGE and core genome multilocus sequence typing (cgMLST) extracted from WGS. We investigated PFGE and cgMLST clusters containing human isolates. Discrimination of isolates was significantly higher by cgMLST than by PFGE (p<0.001). cgMLST discriminated unrelated isolates that shared identical PFGE profiles and phylogenetically closely related isolates with distinct PFGE profiles. This procedure also refined epidemiologic investigations to include only phylogenetically closely related isolates, improved source identification, and facilitated epidemiologic investigations, enabling identification of more outbreaks at earlier stages. WGS-based typing should replace PFGE as the primary typing method for L. monocytogenes.
-
Subjects:
-
Source:Emerg Infect Dis. 23(9):1462-1470.
-
Pubmed ID:28643628
-
Pubmed Central ID:PMC5572858
-
Document Type:
-
Name as Subject:
-
Volume:23
-
Issue:9
-
Collection(s):
-
Main Document Checksum:urn:sha256:6aaf98ed76ca0c7b0aa4e723eeb5c243a76ae1c8539d4814314648ce68b72986
-
Download URL:
-
File Type:
Supporting Files
Related Documents
File Language:
English
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like
COLLECTION
Emerging Infectious Diseases