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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2017
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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. |
format | Online Article Text |
id | pubmed-5572858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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