Skip to main navigation Skip to search Skip to main content

Escherichia coli from six European countries reveals differences in profile and distribution of critical antimicrobial resistance determinants within One Health compartments, 2013 to 2020

  • Håkon P. Kaspersen
  • , Michael S.M. Brouwer
  • , Javier Nunez-Garcia
  • , Ingrid Cárdenas-Rey
  • , Manal AbuOun
  • , Nicholas Duggett
  • , Nicholas Ellaby
  • , Jose Delgado-Blas
  • , Jens A. Hammerl
  • , Maria Getino
  • , Carlos Serna
  • , Thierry Naas
  • , Kees T. Veldman
  • , Alex Bossers
  • , Marianne Sunde
  • , Solveig S. Mo
  • , Silje B. Jørgensen
  • , Matthew Ellington
  • , Bruno Gonzalez-Zorn
  • , Roberto La Ragione
  • Philippe Glaser, Muna F. Anjum*
*Corresponding author for this work
  • National Veterinary Institute Norway
  • Wageningen Bioveterinary Research, Lelystad, The Netherlands.
  • UK Department for Environment, Food and Rural Affairs
  • Wageningen University & Research
  • UK Health Security Agency
  • Complutense University
  • Federal Institute for Risk Assessment
  • Faculty of Health and Medical Sciences
  • ComUE Paris-Saclay
  • University of Oslo
  • Université de Paris

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Antimicrobial resistance (AMR) is a global threat. Monitoring using an integrated One Health approach is essential to detect changes in AMR occurrence.Aim:WeaimedtodetectAMRgenesinpathogenic and commensal Escherichia coli collected 2013–2020 within monitoring programmes and research from food animals, food (fresh retail raw meat) and humans in six European countries, to compare vertical and horizontal transmission. Methods: We whole genome sequenced (WGS) 3,745 E. coli isolates, detected AMR genes using ResFinder and performed phylogenetic analysis to determine isolate relatedness and transmission. A BLASTn-based bioinformatic method compared draft IncI1 genomes to conserved plasmid references from Europe. Results: Resistance genes to medically important antimicrobials (MIA) such as extended-spectrum cephalosporins (ESC) were widespread but predicted resistance to MIAs authorised for human use (carbapenem, tigecycline) was detected only in two human and three cattle isolates. Phylogenetic analysis clustered E. coli according to phylogroups; commensal animal isolates showed greater diversity than those from human patients. Only 18 vertical animal-food and human-animal transmission events of E. coli clones were detected. However, IncI1 plasmids from different sources and/or countries carrying resistance to ESCs were conserved and widely distributed, although these variants were rarely detected in human pathogens. Conclusion: Using WGS we demonstrated AMR is driven vertically and horizontally. Human clinical isolates were more closely related, but their IncI1 plasmids were more diverse, while animal or food isolates were less similar with more conserved IncI1 plasmids. These differences likely arose from variations in selective pressure, influencing AMR evolution and transmission.

Original languageEnglish
JournalEurosurveillance
Volume29
Issue number47
DOIs
Publication statusPublished - 21 Nov 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 European Centre for Disease Prevention and Control (ECDC). All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Escherichia coli from six European countries reveals differences in profile and distribution of critical antimicrobial resistance determinants within One Health compartments, 2013 to 2020'. Together they form a unique fingerprint.

Cite this