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      Whole genome-based population biology and epidemiological surveillance of Listeria monocytogenes.

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          Abstract

          Listeria monocytogenes (Lm) is a major human foodborne pathogen. Numerous Lm outbreaks have been reported worldwide and associated with a high case fatality rate, reinforcing the need for strongly coordinated surveillance and outbreak control. We developed a universally applicable genome-wide strain genotyping approach and investigated the population diversity of Lm using 1,696 isolates from diverse sources and geographical locations. We define, with unprecedented precision, the population structure of Lm, demonstrate the occurrence of international circulation of strains and reveal the extent of heterogeneity in virulence and stress resistance genomic features among clinical and food isolates. Using historical isolates, we show that the evolutionary rate of Lm from lineage I and lineage II is low (∼2.5 × 10(-7) substitutions per site per year, as inferred from the core genome) and that major sublineages (corresponding to so-called 'epidemic clones') are estimated to be at least 50-150 years old. This work demonstrates the urgent need to monitor Lm strains at the global level and provides the unified approach needed for global harmonization of Lm genome-based typing and population biology.

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          Author and article information

          Journal
          Nat Microbiol
          Nature microbiology
          Springer Nature
          2058-5276
          2058-5276
          Oct 10 2016
          : 2
          Affiliations
          [1 ] National Reference Centre and World Health Organization Collaborating Center for Listeria, Institut Pasteur, 75724 Paris, France.
          [2 ] Biology of Infection Unit, Institut Pasteur, 75724 Paris, France.
          [3 ] Inserm U1117, 75015 Paris, France.
          [4 ] Microbial Evolutionary Genomics Unit, Institut Pasteur, 75724 Paris, France.
          [5 ] CNRS, UMR 3525, 75015 Paris, France.
          [6 ] Institut Pasteur-Hub Bioinformatique et Biostatistique-C3BI, USR 3756 IP CNRS, 75724 Paris, France.
          [7 ] Applied-Maths, 9830 Sint-Martens-Latem, Belgium.
          [8 ] Sorbonne Paris Cité, Cellule Pasteur, Paris Diderot University, 75013 Paris, France.
          [9 ] Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
          [10 ] Statens Serum Institut, 2300 Copenhagen, Denmark.
          [11 ] Public Health England, London NW9 5EQ, UK.
          [12 ] Public Health Agency of Canada, Winnipeg, Manitoba R3E 3R2, Canada.
          [13 ] Pasteur International Bioresources network (PIBnet), Mutualized Microbiology Platform (P2M), Institut Pasteur, 75724 Paris, France.
          [14 ] CNRS, UMS 3601 IFB-Core, 91198 Gif-sur-Yvette, France.
          [15 ] Public Health France, 94415 Saint-Maurice, France.
          [16 ] Sorbonne Paris Cité, Institut Imagine, 75006 Paris, Necker-Enfants Malades University Hospital, Division of Infectious Diseases and Tropical Medicine, APHP, Paris Descartes University, 75015 Paris, France.
          Article
          nmicrobiol2016185
          10.1038/nmicrobiol.2016.185
          27723724
          39e82a7a-f609-4ebc-a7be-5e4d2c458b94
          History

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