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Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France

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 2,74...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572858/
https://www.ncbi.nlm.nih.gov/pubmed/28643628
http://dx.doi.org/10.3201/eid2309.170336
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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
author_facet 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
author_sort Moura, Alexandra
collection PubMed
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.
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spelling pubmed-55728582017-09-02 Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France 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 Emerg Infect Dis Research 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. Centers for Disease Control and Prevention 2017-09 /pmc/articles/PMC5572858/ /pubmed/28643628 http://dx.doi.org/10.3201/eid2309.170336 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
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
Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France
title Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France
title_full Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France
title_fullStr Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France
title_full_unstemmed Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France
title_short Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France
title_sort real-time whole-genome sequencing for surveillance of listeria monocytogenes, france
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572858/
https://www.ncbi.nlm.nih.gov/pubmed/28643628
http://dx.doi.org/10.3201/eid2309.170336
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