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A European-wide dataset to uncover adaptive traits of Listeria monocytogenes to diverse ecological niches

Benjamin Félix 1, * Yann Sevellec 1 Federica Palma 1 Pierre Emmanuel Douarre 1 Arnaud Felten 1 Nicolas Radomski 1 Ludovic Mallet 1 Yannick Blanchard 2 Aurélie Leroux 2 Christophe Soumet 3 Arnaud Bridier 3 Pascal Piveteau 4 Eliette Ascensio 5 Michel Hébraud 6 Renáta Karpíšková 7 Tereza Gelbíčová 7 Marina Torresi 8 Francesco Pomilio 8 Cesare Cammà 8 Adriano Di Pasquale 8 Taran Skjerdal 9 Ariane Pietzka 10 Werner Ruppitsch 10 Monica Ricão Canelhas 11 Bojan Papić 12 Ana Hurtado 13, 14 Bart Wullings 15 Hana Bulawova 16 Hanna Castro 17 Miia Lindström 17 Hannu Korkeala 17 Žanete Šteingolde 18 Toomas Kramarenko 19 Lenka Cabanova 20 Barbara Szymczak 21 Manfred Gareis 22 Verena Oswaldi 23 Elisabet Marti 24 Anne-Mette Seyfarth 25 Jean-Charles Leblanc 1 Laurent Guillier 1 Sophie Roussel 1
* Auteur correspondant
1 LSAl - Laboratoire de sécurité des aliments de Maisons-Alfort
2 Laboratoire de Ploufragan-Plouzané-Niort [ANSES]
3 Laboratoire de Fougères - ANSES
4 UR OPAALE - Optimisation des procédés en Agriculture, Agroalimentaire et Environnement
5 Agroécologie [Dijon]
6 MEDIS - Microbiologie Environnement Digestif Santé
7 VRI - Veterinary Research Institute [Brno]
8 IZSAM - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise Guiseppe Caporale
9 Norwegian Veterinary Institute [Oslo]
10 Austrian Agency for Health and Food Safety (AGES)
11 Swedish Food Agency
12 University of Ljubljana
13 Neiker-Instituto Vasco de Investigación y Desarrollo Agrario (SPAIN)
14 BRTA - Basque Research and Technology Alliance
15 WFSR - Wageningen Food Safety Research, Wageningen
16 SVU - State Veterinary Institute
17 Department of Food Hygiene and Environmental Health [Helsinki]
18 BIOR - Institute of Food Safety, Animal Health and Environment
19 Veterinary and Food Laboratory, 51006 Tartu, Estonia
20 Department of Molecular Biology and Epizootiology, Veterinary and Food Institute in Dolny Kubin, State Veterinary and Food Institute, NRL for Honeybee Health, 026 01 Dolny Kubin, Slovakia
21 West Pomeranian University of Technology Szczecin
22 LMU - Ludwig Maximilian University [Munich]
23 Freie Universität Berlin
24 Agroscope
25 Forside - National Food Institute [Lyngby]
Abstract : Listeria monocytogenes ( Lm ) is a ubiquitous bacterium that causes listeriosis, a serious foodborne illness. In the nature-to-human transmission route, Lm can prosper in various ecological niches. Soil and decaying organic matter are its primary reservoirs. Certain clonal complexes (CCs) are over-represented in food production and represent a challenge to food safety. To gain new understanding of Lm adaptation mechanisms in food, the genetic background of strains found in animals and environment should be investigated in comparison to that of food strains. Twenty-one partners, including food, environment, veterinary and public health laboratories, constructed a dataset of 1484 genomes originating from Lm strains collected in 19 European countries. This dataset encompasses a large number of CCs occurring worldwide, covers many diverse habitats and is balanced between ecological compartments and geographic regions. The dataset presented here will contribute to improve our understanding of Lm ecology and should aid in the surveillance of Lm . This dataset provides a basis for the discovery of the genetic traits underlying Lm adaptation to different ecological niches.
Mots-clés : Listeria monocytogenes bactérie microbiologie pathogène alimentaire sécurité des aliments humain transmission niches écologiques écosystème épidémiologie génétique données de la recherche
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https://hal-anses.archives-ouvertes.fr/anses-03665051
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Soumis le : mercredi 11 mai 2022 - 14:01:35
Dernière modification le : mardi 17 mai 2022 - 03:49:47

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ANSES | UNIV-BOURGOGNE | INRAE | ACL-SVSAE | MEDIS | PRES_CLERMONT | MICA-UNITES | PFEM

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Benjamin Félix, Yann Sevellec, Federica Palma, Pierre Emmanuel Douarre, Arnaud Felten, et al.. A European-wide dataset to uncover adaptive traits of Listeria monocytogenes to diverse ecological niches. Scientific Data , Nature Publishing Group, 2022, 9 (1), pp.190. ⟨10.1038/s41597-022-01278-6⟩. ⟨anses-03665051⟩

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