Emergence and Genomic Features of a mcr-1 Escherichia coli from Duck in Hungary

Antibiotics (Basel). 2023 Oct 7;12(10):1519. doi: 10.3390/antibiotics12101519.

Abstract

Plasmids carrying high-risk resistance mechanisms in pathogenic E. coli have gained particular attention in veterinary medicine, especially since the discovery of the colistin resistance gene, mcr-1. Here, we provide the first evidence of its emergence and describe the complete mcr-1 plasmid sequence of a multi-resistant avian pathogenic E. coli (APEC) strain from waterfowl in Hungary. Whole-genome sequencing analysis and core-genome MLST were performed to characterize the genome structure of the mcr-1 plasmid and to reveal the phylogenetic relation between the Hungarian duck strain Ec45-2020 and the internationally circulating mcr-1-positive E. coli strains from poultry and humans. Results showed that plasmid pEc45-2020-33kb displayed a high level of genome identity with mcr-1 plasmids of IncX4 type widespread among human, animal and food reservoirs of enteric bacteria of public health. The mcr-1-positive E. coli strain Ec45-2020 belongs to the ST162 genotype, considered as one of the globally disseminated zoonotic genotypes of MDR E. coli. In accordance with international findings, our results underline the importance of continuous surveillance of enteric bacteria with high-risk antimicrobial resistance genotypes, including neglected animals, such as waterfowls, as possible reservoirs for the colistin resistance gene mcr-1.

Keywords: colistin resistance; core genome MLST; mcr-1 Escherichia coli; multiresistance; plasmid genome; waterfowl; whole-genome sequencing.

Grants and funding

This research was funded by the K 140349 grants of the National Research, Development and Innovation Office and by the SA-27/2021 grant of the Hungarian Research Network. Additional support was provided by the Ministry of Innovation and Technology of Hungary (legal successor: Ministry of Culture and Innovation of Hungary), from the National Research, Development and Innovation Fund, and financed under the K 140349 and TKP2021-EGA-01 funding schemes of the National Research, Development and Innovation Office. The SA-27/2021 grant of the Hungarian Research Network. This work was also supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 874735 (VEO).