Optimizing identification of Mycoplasma bovis by MALDI-TOF MS.

Animals Bacteriological Techniques / veterinary Cattle / microbiology Female Mycoplasma bovis / isolation & purification Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods
Ampicillin Incubation time Library Protein extraction Pyruvate

Journal

Research in veterinary science
ISSN: 1532-2661
Titre abrégé: Res Vet Sci
Pays: England
ID NLM: 0401300

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 30 10 2018
revised: 14 06 2019
accepted: 18 06 2019
pubmed: 30 6 2019
medline: 23 11 2019
entrez: 29 6 2019
Statut: ppublish

Résumé

Fast and accurate identification of Mycoplasma bovis in cattle samples is of great importance for rational treatment and control of pneumonia, arthritis and mastitis. However, which growth conditions will allow the fastest identification of M. bovis with MALDI-TOF MS remains unclear. Therefore, growth conditions and incubation time were investigated to optimize identification of M. bovis with MALDI-TOF MS and an in-house library was constructed. Nine different M. bovis strains were inoculated in triplicate in three liquid media (B1-3). Basic broth (B1) consisted of pleuropneumonia-like organism broth, enriched with 25% horse serum and 0.7% yeast extract. B2 and B3 were additionally supplemented with 0.5% pyruvate or 520 μg/mL ampicillin, respectively. Protein extraction was performed after 24, 48, 72, 96 and 120 h of incubation (37 °C, 5% CO

Identifiants

DOI: 10.1016/j.rvsc.2019.06.010 PMID: 31252368
pubmed: 31252368
pii: S0034-5288(18)35225-1
doi: 10.1016/j.rvsc.2019.06.010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

185-188

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Jade Bokma (J)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium. Electronic address: jade.bokma@ugent.be.

Bart Pardon (B)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium. Electronic address: bart.pardon@ugent.be.

Laura Van Driessche (L)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium. Electronic address: laura.vandriessche@ugent.be.

Linde Gille (L)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium.

Piet Deprez (P)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium.

Freddy Haesebrouck (F)

Department of Pathology, Bacteriology and Poultry diseases, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium. Electronic address: freddy.haesebrouck@ugent.be.

Filip Boyen (F)

Department of Pathology, Bacteriology and Poultry diseases, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium. Electronic address: filip.boyen@ugent.be.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Optimizing identification of Mycoplasma bovis...
questionsmedicales.fr › Techniques d'investigation › Techniques de laboratoire clinique › Techniques microbiologiques › Techniques bactériologiques › Optimizing identification of Mycoplasma bovis...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Artiodactyla › Ruminants › Bovins › Optimizing identification of Mycoplasma bovis...
questionsmedicales.fr › Bactéries › Bactéries à Gram négatif › Tenericutes › Mycoplasmatales › Mycoplasmataceae › Mycoplasma › Mycoplasma bovis › Optimizing identification of Mycoplasma bovis...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Spectrométrie de masse › Spectrométrie de masse MALDI › Optimizing identification of Mycoplasma bovis...