Using source-associated mobile genetic elements to identify zoonotic extraintestinal E. coli infections

Cindy M. Liu, Maliha Aziz, Daniel E. Park, Zhenke Wu, Marc Stegger, Mengbing Li, Yashan Wang, Kara Schmidlin, Timothy J. Johnson, Benjamin J. Koch, Bruce A. Hungate, Lora Nordstrom, Lori Gauld, Brett Weaver, Diana Rolland, Sally Statham, Brantley Hall, Sanjeev Sariya, Gregg S. Davis, Paul S. KeimJames R. Johnson, Lance B. Price

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

A one-health perspective may provide new and actionable information about Escherichia coli transmission. E. coli colonizes a broad range of vertebrates, including humans and food-production animals, and is a leading cause of bladder, kidney, and bloodstream infections in humans. Substantial evidence supports foodborne transmission of pathogenic E. coli strains from food animals to humans. However, the relative contribution of foodborne zoonotic E. coli (FZEC) to the human extraintestinal disease burden and the distinguishing characteristics of such strains remain undefined. Using a comparative genomic analysis of a large collection of contemporaneous, geographically-matched clinical and meat-source E. coli isolates (n = 3111), we identified 17 source-associated mobile genetic elements – predominantly plasmids and bacteriophages – and integrated them into a novel Bayesian latent class model to predict the origins of clinical E. coli isolates. We estimated that approximately 8 % of human extraintestinal E. coli infections (mostly urinary tract infections) in our study population were caused by FZEC. FZEC strains were equally likely to cause symptomatic disease as non-FZEC strains. Two FZEC lineages, ST131-H22 and ST58, appeared to have particularly high virulence potential. Our findings imply that FZEC strains collectively cause more urinary tract infections than does any single non-E. coli uropathogenic species (e.g., Klebsiella pneumoniae). Our novel approach can be applied in other settings to identify the highest-risk FZEC strains, determine their sources, and inform new one-health strategies to decrease the heavy public health burden imposed by extraintestinal E. coli infections.

Original languageEnglish (US)
Article number100518
JournalOne Health
Volume16
DOIs
StatePublished - Jun 2023

Keywords

  • Bayesian latent class model
  • Escherichia coli
  • Food-animal production
  • Foodborne
  • Host adaptation
  • Infectious diseases
  • Mobile genetic element
  • Public health
  • Urinary tract infection
  • Zoonosis

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Infectious Diseases

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