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

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

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BORIS DOI
10.48350/197033
Date of Publication
July 1, 2024
Publication Type
Article
Division/Institute

Institut für Veterinä...

Contributor
Ivanova, Mirena
Ovsepian, Armen
Leekitcharoenphon, Pimlapas
Seyfarth, Anne Mette
Mordhorst, Hanne
Otani, Saria
Koeberl-Jelovcan, Sandra
Milanov, Mihail
Kompes, Gordan
Liapi, Maria
Černý, Tomáš
Vester, Camilla Thougaard
Perrin-Guyomard, Agnès
Hammerl, Jens A
Grobbel, Mirjam
Valkanou, Eleni
Jánosi, Szilárd
Slowey, Rosemarie
Alba, Patricia
Carfora, Virginia
Avsejenko, Jelena
Pereckiene, Asta
Claude, Dominique
Zerafa, Renato
Veldman, Kees T
Boland, Cécile
Garcia-Graells, Cristina
Wattiau, Pierre
Butaye, Patrick
Zając, Magdalena
Amaro, Ana
Clemente, Lurdes
Vaduva, Angela M
Romascu, Luminita-Maria
Milita, Nicoleta-Manuela
Mojžišová, Andrea
Zdovc, Irena
Escribano, Maria Jesús Zamora
De Frutos Escobar, Cristina
Overesch, Gudrun
Institut für Veterinärbakteriologie (IVB)
Institut für Veterinärbakteriologie (IVB) - ZOBA
Teale, Christopher
Loneragan, Guy H
Guerra, Beatriz
Beloeil, Pierre Alexandre
Brown, Amanda M V
Hendriksen, Rene S
Bortolaia, Valeria
Kjeldgaard, Jette Sejer
Subject(s)

600 - Technology::630...

Series
The journal of antimicrobial chemotherapy
ISSN or ISBN (if monograph)
1460-2091
Publisher
Oxford University Press
Language
English
Publisher DOI
10.1093/jac/dkae161
PubMed ID
38775752
Description
OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/177603
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dkae161.pdftextAdobe PDF829.54 KBAttribution (CC BY 4.0)publishedOpen
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