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MALDI-TOF mass spectrometry-based identification of Listeria species in surveillance: a prospective study

Authors :
Guillaume Vales
Mylène M. Maury
Pierre Thouvenot
Marc Lecuit
Alexandra Moura
Hélène Bracq-Dieye
Nathalie Tessaud-Rita
Alexandre Leclercq
Centre collaborateur de l'OMS Listeria / WHO Collaborating Centre Listeria (CC-OMS / WHO-CC)
Institut Pasteur [Paris] (IP)-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO)
Biologie des Infections - Biology of Infection
Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Université Paris Descartes - Paris 5 (UPD5)
CHU Necker - Enfants Malades [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)
This work was supported by Institut Pasteur and Public Health France.
We thank Dr. Martin Wiedmann (Cornell University, USA) for providing type strains of L. marthii, L. grandensis, L. aquatica, L. cornellensis, L. riparia and L. floridensis, Dr. Leo Meile (Swiss Federal Institute of Technology Zurich, Switzerland) for L. fleischmannii, Dr. C. Bizet (Collection de l'Institut Pasteur, France) for providing type strains of L. weihenstephanensis, L. booriae, L. newyorkensis and the access to the Bruker Daltonics MALDI-TOF MS system. We are also thankful to the P2M platform (Institut Pasteur, Paris, France) for genome sequencing.
Institut Pasteur [Paris]-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO)
Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)
DIAKITE, andrée
Source :
Journal of Microbiological Methods, Journal of Microbiological Methods, 2017, 144, pp.29-32. ⟨10.1016/j.mimet.2017.10.009⟩, Journal of Microbiological Methods, Elsevier, 2017, 144, pp.29-32. ⟨10.1016/j.mimet.2017.10.009⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; This study aimed to evaluate MALDI-TOF MS for species discrimination of Listeria in the context of routine surveillance. MALDI-TOF MS yielded 100% accuracy for the identification of L. monocytogenes, L. innocua, L. ivanovii, L. fleischmannii, L. grayi, L. seeligeri, L. weihenstephanensis and L. welshimeri, as confirmed by whole genome sequence analyses.

Subjects

Subjects :
0301 basic medicine
Microbiology (medical)
MALDI-TOF
MESH: Sequence Analysis, DNA
Listeria
030106 microbiology
Context (language use)
Biology
Bioinformatics
Listeria identification
Microbiology
MESH: Bacterial Typing Techniques
Listeria species
03 medical and health sciences
MESH: Listeria
[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases
Public health surveillance
Prospective Studies
MESH: Food Microbiology
Molecular Biology
[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology
Whole Genome Sequencing
Mass spectrometry
MESH: Public Health Surveillance
Computational Biology
Sequence Analysis, DNA
MALDI-TOF Mass Spectrometry
biology.organism_classification
[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology
MESH: Prospective Studies
Bacterial Typing Techniques
[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology
MESH: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Food
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Food Microbiology
[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases
Identification (biology)
[SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology
MESH: Whole Genome Sequencing
MESH: Computational Biology

Details

Language :
English
ISSN :
01677012 and 18728359
Database :
OpenAIRE
Journal :
Journal of Microbiological Methods, Journal of Microbiological Methods, 2017, 144, pp.29-32. ⟨10.1016/j.mimet.2017.10.009⟩, Journal of Microbiological Methods, Elsevier, 2017, 144, pp.29-32. ⟨10.1016/j.mimet.2017.10.009⟩
Accession number :
edsair.doi.dedup.....f6082407709a4feafb2d6ee43da0181c
Full Text :
https://doi.org/10.1016/j.mimet.2017.10.009⟩
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