Collection of Listeria monocytogenes Isolates from Milk, Dairy Products and Food Processing Environments in Slovakia for the Purposes of European Molecular Database

The molecular typing of Listeria monocytogenes isolates is an important tool for monitoring the spread of the strains in food chains, providing evidence for epidemiological investigations and for the detection of out-breaks. The demand of European typing data centralization, collection and sharing s...

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Bibliographic Details
Main Authors: Kubicová Z., Filipová M., Jurovčíková J., Cabanová L
Format: Article
Language:English
Published: Sciendo 2017-03-01
Series:Folia Veterinaria
Subjects:
Online Access:https://doi.org/10.1515/fv-2017-0009
Description
Summary:The molecular typing of Listeria monocytogenes isolates is an important tool for monitoring the spread of the strains in food chains, providing evidence for epidemiological investigations and for the detection of out-breaks. The demand of European typing data centralization, collection and sharing stimulated the generation of “EURL L. monocytogenes Database (EURL Lm DB)” in 2012 led by the European Union Reference Laboratory (EURL) for L. monocytogenes (ANSES Maisons-Alfort Laboratory for Food Safety, France) in close collaboration with Applied Maths. This database includes the typing results and epidemiological information on strains isolated from food, environmental or animal samples and it is in connection with human strains database TESSy (The European Surveillance System) led by the ECDC (European Centre for Disease Prevention and Control). In total 147 L. monocytogenes isolates were examined by PFGE (pulsed field gel electrophoresis) in 2014—2015 in VFI Dolny Kubin from different sources. Nearly half (68) of the 147 isolates in the national Slovak database came from milk or dairy products samples and the related manufacturing environment. In this work, 68 isolates associated with milk were selected and divided into 27 clusters (95 % similarity level) after combined comparison analysis (AscI and ApaI) by BioNumerics 6.6 software. Eight clusters included three or more similar PFGE profiles.
ISSN:2453-7837