Characterisation of Haemolytic Uropathogenic Escherichia coli Isolated From Dogs and Cats
Abstract
Background: Escherichia (E.) coli is the primary cause of urinary tract infections in companion animals.
Objectives: Therefore, the present study aimed to characterise antimicrobial resistance profiles, virulence-associated genes, and phylogenetic diversity of E. coli with haemolytic colony morphology isolated from urine samples of cats and dogs during routine diagnostic activities, which have not been characterised previously in Austria.
Methods: A total of 51 isolates were included from dogs (n = 32) and cats (n = 19) and characterised by a polyphasic approach, including susceptibility testing and DNA microarray-based assays. In addition, all isolates were analysed using two-locus fumC and fimH sequence typing (CH-clonotyping) and E. coli phylotyping.
Results: The majority of E. coli isolates belonged to phylogenetic group B2, with one isolate assigned to phylogenetic group B1. Thirty-four CH-clonotypes were detected using two-locus sequence typing. All isolates detected could be classified as ExPEC.
Conclusions: The identification of clonal complexes common to humans indicates interspecies transmission, thereby emphasising the critical need for surveillance in companion animal populations.
Read the paper
Related studies
- Horizontal gene transfer in the human gastrointestinal tract: potential spread of antibiotic resistance genes
- Mutation supply and relative fitness shape the genotypes of ciprofloxacin-resistant Escherichia coli
- Genomic Survey of E. coli From the Bladders of Women With and Without Lower Urinary Tract Symptoms
- Characterization of cefotaxime-resistant urinary Escherichia coli from primary care in South-West England 2017–18
- Fitness cost constrains the spectrum of marR mutations in ciprofloxacin-resistant Escherichia coli
- Emerging evidence-based innovative approaches to control catheter-associated urinary tract infection: a review
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.