The antimicrobial resistome in relation to antimicrobial use and biosecurity in pig farming, a metagenome-wide association study in nine European countries.


Journal

The Journal of antimicrobial chemotherapy
ISSN: 1460-2091
Titre abrégé: J Antimicrob Chemother
Pays: England
ID NLM: 7513617

Informations de publication

Date de publication:
01 04 2019
Historique:
received: 10 04 2018
revised: 30 10 2018
accepted: 15 11 2018
pubmed: 17 1 2019
medline: 1 7 2020
entrez: 17 1 2019
Statut: ppublish

Résumé

Previous studies in food-producing animals have shown associations between antimicrobial use (AMU) and resistance (AMR) in specifically isolated bacterial species. Multi-country data are scarce and only describe between-country differences. Here we investigate associations between the pig faecal mobile resistome and characteristics at the farm-level across Europe. A cross-sectional study was conducted among 176 conventional pig farms from nine European countries. Twenty-five faecal samples from fattening pigs were pooled per farm and acquired resistomes were determined using shotgun metagenomics and the Resfinder reference database, i.e. the full collection of horizontally acquired AMR genes (ARGs). Normalized fragments resistance genes per kilobase reference per million bacterial fragments (FPKM) were calculated. Specific farm-level data (AMU, biosecurity) were collected. Random-effects meta-analyses were performed by country, relating farm-level data to relative ARG abundances (FPKM). Total AMU during fattening was positively associated with total ARG (total FPKM). Positive associations were particularly observed between widely used macrolides and tetracyclines, and ARGs corresponding to the respective antimicrobial classes. Significant AMU-ARG associations were not found for β-lactams and only few colistin ARGs were found, despite high use of these antimicrobial classes in younger pigs. Increased internal biosecurity was directly related to higher abundances of ARGs mainly encoding macrolide resistance. These effects of biosecurity were independent of AMU in mutually adjusted models. Using resistome data in association studies is unprecedented and adds accuracy and new insights to previously observed AMU-AMR associations. Major components of the pig resistome are positively and independently associated with on-farm AMU and biosecurity conditions.

Identifiants

pubmed: 30649386
pii: 5289505
doi: 10.1093/jac/dky518
doi:

Substances chimiques

Anti-Infective Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

865-876

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Liese Van Gompel (L)

Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, CM Utrecht, The Netherlands.

Roosmarijn E C Luiken (REC)

Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, CM Utrecht, The Netherlands.

Steven Sarrazin (S)

Veterinary Epidemiology Unit, Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke, Belgium.

Patrick Munk (P)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kemitorvet 204, Kongens Lyngby, Denmark.

Berith E Knudsen (BE)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kemitorvet 204, Kongens Lyngby, Denmark.

Rasmus B Hansen (RB)

Intomics A/S, Lottenborgvej 26, Kongens Lyngby, Denmark.

Alex Bossers (A)

Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, CM Utrecht, The Netherlands.
Wageningen Bioveterinary Research, Houtribweg 39, RA, Lelystad, The Netherlands.

Frank M Aarestrup (FM)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kemitorvet 204, Kongens Lyngby, Denmark.

Jeroen Dewulf (J)

Veterinary Epidemiology Unit, Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke, Belgium.

Jaap A Wagenaar (JA)

Wageningen Bioveterinary Research, Houtribweg 39, RA, Lelystad, The Netherlands.
Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, CL, Utrecht, The Netherlands.

Dik J Mevius (DJ)

Wageningen Bioveterinary Research, Houtribweg 39, RA, Lelystad, The Netherlands.
Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, CL, Utrecht, The Netherlands.

Heike Schmitt (H)

Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, CM Utrecht, The Netherlands.
Centre of Infectious Disease Control, National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, MA, Bilthoven, The Netherlands.

Dick J J Heederik (DJJ)

Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, CM Utrecht, The Netherlands.

Alejandro Dorado-García (A)

Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, CM Utrecht, The Netherlands.

Lidwien A M Smit (LAM)

Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, CM Utrecht, The Netherlands.

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Classifications MeSH