Parameters for one health genomic surveillance of <i>Escherichia coli</i> from Australia

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Watt, Anne E.
Cummins, Max L.
Donato, Celeste M.
Wirth, Wytamma
Porter, Ashleigh F.
Andersson, Patiyan
Donner, Erica
Huynh, Thy
Phabmixay, Aruna
Flynn, Erin

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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.

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Nature Communications

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