Nature Communications (Jan 2022)

Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing

  • Iman Yassine,
  • Sophie Lefèvre,
  • Elisabeth E. Hansen,
  • Corinne Ruckly,
  • Isabelle Carle,
  • Monique Lejay-Collin,
  • Laëtitia Fabre,
  • Rayane Rafei,
  • Dominique Clermont,
  • Maria Pardos de la Gandara,
  • Fouad Dabboussi,
  • Nicholas R. Thomson,
  • François-Xavier Weill

DOI
https://doi.org/10.1038/s41467-022-28121-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Lab-based surveillance of Shigella has traditionally been based on serotyping but increasing availability of whole genome sequencing could enable higher resolution typing. Here, the authors apply a core genome multilocus sequence typing scheme to Shigella sequence data and describe its population structure.