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

Benjamin Félix*, Yann Sevellec, Federica Palma, Pierre Emmanuel Douarre, Arnaud Felten, Nicolas Radomski, Ludovic Mallet, Yannick Blanchard, Aurélie Leroux, Christophe Soumet, Arnaud Bridier, Pascal Piveteau, Eliette Ascensio, Michel Hébraud, Renáta Karpíšková, Tereza Gelbíčová, Marina Torresi, Francesco Pomilio, Cesare Cammà, Adriano Di PasqualeTaran Skjerdal, Ariane Pietzka, Werner Ruppitsch, Monica Ricão Canelhas, Bojan Papić, Ana Hurtado, Bart Wullings, Hana Bulawova, Hanna Castro, Miia Lindström, Hannu Korkeala, Žanete Šteingolde, Toomas Kramarenko, Lenka Cabanova, Barbara Szymczak, Manfred Gareis, Verena Oswaldi, Elisabet Marti, Anne Mette Seyfarth, Jean Charles Leblanc, Laurent Guillier, Sophie Roussel

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Article number190
JournalScientific Data
Volume9
Issue number1
DOIs
Publication statusPublished - 28 Apr 2022

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