Azithromycin resistance in Escherichia coli and Salmonella from food-producing animals and meat in Europe.


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:
22 May 2024
Historique:
received: 12 07 2023
accepted: 30 04 2024
medline: 22 5 2024
pubmed: 22 5 2024
entrez: 22 5 2024
Statut: aheadofprint

Résumé

To characterize the genetic basis of azithromycin resistance in Escherichia coli and Salmonella collected within the EU harmonized antimicrobial resistance (AMR) surveillance programme in 2014-18 and the Danish AMR surveillance programme in 2016-19. WGS data of 1007 E. coli [165 azithromycin resistant (MIC > 16 mg/L)] and 269 Salmonella [29 azithromycin resistant (MIC > 16 mg/L)] were screened for acquired macrolide resistance genes and mutations in rplDV, 23S rRNA and acrB genes using ResFinder v4.0, AMRFinder Plus and custom scripts. Genotype-phenotype concordance was determined for all isolates. Transferability of mef(C)-mph(G)-carrying plasmids was assessed by conjugation experiments. mph(A), mph(B), mef(B), erm(B) and mef(C)-mph(G) were detected in E. coli and Salmonella, whereas erm(C), erm(42), ere(A) and mph(E)-msr(E) were detected in E. coli only. The presence of macrolide resistance genes, alone or in combination, was concordant with the azithromycin-resistant phenotype in 69% of isolates. Distinct mph(A) operon structures were observed in azithromycin-susceptible (n = 50) and -resistant (n = 136) isolates. mef(C)-mph(G) were detected in porcine and bovine E. coli and in porcine Salmonella enterica serovar Derby and Salmonella enterica 1,4, [5],12:i:-, flanked downstream by ISCR2 or TnAs1 and associated with IncIγ and IncFII plasmids. Diverse azithromycin resistance genes were detected in E. coli and Salmonella from food-producing animals and meat in Europe. Azithromycin resistance genes mef(C)-mph(G) and erm(42) appear to be emerging primarily in porcine E. coli isolates. The identification of distinct mph(A) operon structures in susceptible and resistant isolates increases the predictive power of WGS-based methods for in silico detection of azithromycin resistance in Enterobacterales.

Identifiants

pubmed: 38775752
pii: 7679708
doi: 10.1093/jac/dkae161
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Union Reference Laboratory for Antimicrobial Resistance

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy.

Auteurs

Mirena Ivanova (M)

European Union Reference Laboratory for Antimicrobial Resistance (EURL-AR), Research Group for Global Capacity Building, Technical University of Denmark, Kongens Lyngby, Denmark.

Armen Ovsepian (A)

European Union Reference Laboratory for Antimicrobial Resistance (EURL-AR), Research Group for Global Capacity Building, Technical University of Denmark, Kongens Lyngby, Denmark.
DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.

Pimlapas Leekitcharoenphon (P)

Research Group for Genomic Epidemiology, Technical University of Denmark, Kongens Lyngby, Denmark.

Anne Mette Seyfarth (AM)

European Union Reference Laboratory for Antimicrobial Resistance (EURL-AR), Research Group for Global Capacity Building, Technical University of Denmark, Kongens Lyngby, Denmark.

Hanne Mordhorst (H)

Research Group for Genomic Epidemiology, Technical University of Denmark, Kongens Lyngby, Denmark.

Saria Otani (S)

Research Group for Genomic Epidemiology, Technical University of Denmark, Kongens Lyngby, Denmark.

Sandra Koeberl-Jelovcan (S)

Austrian Agency for Health and Food Safety, Graz, Austria.

Mihail Milanov (M)

National Diagnostic and Research Veterinary Institute, Sofia, Bulgaria.

Gordan Kompes (G)

Croatian Veterinary Institute, Zagreb, Croatia.

Maria Liapi (M)

Bacteriology Serology Laboratory, Veterinary Services, Cyprus.

Tomáš Černý (T)

State Veterinary Institute, Prague, Czech Republic.

Camilla Thougaard Vester (CT)

Danish Veterinary and Food Administration, Ringsted, Denmark.

Agnès Perrin-Guyomard (A)

French Agency for Food, Environmental and Occupational Health & Safety, Maisons-Alfort, France.

Jens A Hammerl (JA)

German Federal Institute for Risk Assessment, Berlin, Germany.

Mirjam Grobbel (M)

German Federal Institute for Risk Assessment, Berlin, Germany.

Eleni Valkanou (E)

Veterinary Laboratory of Chalkis, Chalkis, Greece.

Szilárd Jánosi (S)

National Food Chain Safety Office, Veterinary Diagnostic Directorate, Budapest, Hungary.

Rosemarie Slowey (R)

Central Veterinary Research Laboratory, Kildare, Ireland.

Patricia Alba (P)

Istituto Zooprofilattico Sperimentale del Lazio e della Toscana 'M. Aleandri', Rome, Italy.

Virginia Carfora (V)

Istituto Zooprofilattico Sperimentale del Lazio e della Toscana 'M. Aleandri', Rome, Italy.

Jelena Avsejenko (J)

Institute of Food Safety, Animal Health and Environment BIOR, Riga, Latvia.

Asta Pereckiene (A)

National Food and Veterinary Risk Assessment Institute, Vilnius, Lithuania.

Dominique Claude (D)

Laboratoire de Médecine Vétérinaire de l'État, Dudelange, Luxembourg.

Renato Zerafa (R)

Public Health Laboratory, Valletta, Malta.

Kees T Veldman (KT)

Wageningen Bioveterinary Research, Part of Wageningen University & Research, Lelystad, Netherlands.

Cécile Boland (C)

Sciensano, Brussels, Belgium.

Cristina Garcia-Graells (C)

Sciensano, Brussels, Belgium.

Pierre Wattiau (P)

Sciensano, Brussels, Belgium.

Patrick Butaye (P)

Department of Pathobiology, Ghent University, Merelbeke, Belgium.
Jockey Club College of Veterinary Medicine and Life Sciences, Kowloon, Hong Kong.

Magdalena Zając (M)

National Veterinary Research Institute, Pulawy, Poland.

Ana Amaro (A)

Instituto Nacional de Investigação Agrária e Veterinária, Oeiras, Portugal.

Lurdes Clemente (L)

Instituto Nacional de Investigação Agrária e Veterinária, Oeiras, Portugal.

Angela M Vaduva (AM)

Institute for Hygiene and Veterinary Public Health, Bucharest, Romania.

Luminita-Maria Romascu (LM)

Institute for Diagnosis and Animal Health, Bucharest, Romania.

Nicoleta-Manuela Milita (NM)

Institute for Diagnosis and Animal Health, Bucharest, Romania.

Andrea Mojžišová (A)

State Veterinary and Food Institute, Dolny Kubin, Slovakia.

Irena Zdovc (I)

Institute for Microbiology and Parasitology, Ljubljana, Slovenia.

Maria Jesús Zamora Escribano (MJZ)

Spanish Agency for Food Safety and Nutrition, Madrid, Spain.

Cristina De Frutos Escobar (C)

Spanish Agency for Food Safety and Nutrition, Madrid, Spain.

Gudrun Overesch (G)

Vetsuisse Faculty, Institute of Veterinary Bacteriology, University of Bern, Bern, Switzerland.

Christopher Teale (C)

Animal & Plant Health Agency, Weybridge, UK.

Guy H Loneragan (GH)

School of Veterinary Medicine, Texas Tech University, Amarillo, TX, USA.

Beatriz Guerra (B)

European Food Safety Authority, Parma, Italy.

Pierre Alexandre Beloeil (PA)

European Food Safety Authority, Parma, Italy.

Amanda M V Brown (AMV)

Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA.

Rene S Hendriksen (RS)

European Union Reference Laboratory for Antimicrobial Resistance (EURL-AR), Research Group for Global Capacity Building, Technical University of Denmark, Kongens Lyngby, Denmark.

Valeria Bortolaia (V)

European Union Reference Laboratory for Antimicrobial Resistance (EURL-AR), Research Group for Global Capacity Building, Technical University of Denmark, Kongens Lyngby, Denmark.
Statens Serum Institut, Copenhagen, Denmark.

Jette Sejer Kjeldgaard (JS)

European Union Reference Laboratory for Antimicrobial Resistance (EURL-AR), Research Group for Global Capacity Building, Technical University of Denmark, Kongens Lyngby, Denmark.

Classifications MeSH