Genomic Profiling of Multidrug-Resistant Swine Escherichia coli and Clonal Relationship to Human Isolates in Peru

Luis Alvarez1, Dennis Carhuaricra2, Joel Palomino-Farfan1

  • 1Laboratory of Veterinary Bacteriology and Mycology, Faculty of Veterinary Medicine, National University of San Marcos, Lima 15021, Peru.

PubMed

Insights

Antimicrobial resistance (AMR) in Escherichia coli from Peruvian pigs is a public health concern. Swine AMR E. coli strains closely resemble those found in humans, highlighting the need for integrated One Health surveillance.

Area of Science:

  • Microbiology
  • Genomics
  • Public Health

Background:

  • Antibiotic misuse accelerates antimicrobial resistance (AMR) in Escherichia coli from farm animals.
  • Multidrug-resistant (MDR) E. coli poses a significant threat to both animal and human health.

Purpose of the Study:

  • To analyze the genomes of MDR E. coli from Peruvian pigs.
  • To determine sequence types, serotypes, virulence, and AMR genes (ARGs).
  • To evaluate the relationship between swine and human E. coli isolates in Peru.

Main Methods:

  • Whole-genome sequencing of ten MDR E. coli isolates from pigs.
  • Comparative analysis with available Peruvian human E. coli genomes.
  • Core genome multilocus sequence typing (cgMLST) combined with Hierarchical Clustering (HierCC) for phylogenetic analysis.

Main Results:

  • Identified high-risk E. coli clones, including aEPEC O186:H11-ST29, ETEC O149:H10-ST100, and ExPEC O101:H11-ST167.
  • Detected numerous ARGs, including extended-spectrum β-lactamase genes, and the mcr-1 gene in an ETEC isolate.
  • cgMLST + HierCC analysis revealed clustering of swine and human E. coli isolates, indicating potential transmission.

Conclusions:

  • Peruvian swine MDR E. coli strains are closely related to human isolates, posing a public health risk.
  • AMR surveillance must be strengthened using a One Health approach to address interspecies transmission.
  • Genomic epidemiology is crucial for understanding AMR dissemination and informing control strategies.