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Parameters for one health genomic surveillance of Escherichia coli from Australia

  • Anne E. Watt
  • , Max L. Cummins
  • , Celeste M. Donato
  • , Wytamma Wirth
  • , Ashleigh F. Porter
  • , Patiyan Andersson
  • , Erica Donner
  • ,
  • , Amy V. Jennison
  • , Torsten Seemann
  • , Steven P. Djordjevic*
  • , Benjamin P. Howden*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

Genomics is a cornerstone of modern pathogen epidemiology yet demonstrating transmission in a One Health context is challenging, as strains circulate and evolve within and between diverse hosts and environments. To identify phylogenetic linkages and better define relevant measures of genomic relatedness in a One Health context, we collated 5471 Escherichia coli genome sequences from Australia originating from humans (n = 2996), wild animals (n = 870), livestock (n = 649), companion animals (n = 375), environmental sources (n = 292) and food (n = 289) spanning over 36 years. Of the 827 multi-locus sequence types (STs) identified, 10 STs were commonly associated with cross-source genomic clusters, including the highly clonal ST131, pandemic zoonotic lineages such as ST95, and emerging human ExPEC ST1193. Here, we show that assessing genomic relationships at ≤ 100 SNP threshold enabled detection of cross-source linkage otherwise obscured when applying typical outbreak-oriented relatedness thresholds (≤ 20 SNPs) and should be considered in interrogation of One Health genomic datasets.

Original languageEnglish
Article number17
Pages (from-to)1-14
Number of pages14
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - 2 Jan 2025

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