Austin Health

Title
Parameters for one health genomic surveillance of Escherichia coli from Australia.
Publication Date
2025-01-02
Author(s)
Watt, Anne E
Cummins, Max L
Donato, Celeste M
Wirth, Wytamma
Porter, Ashleigh F
Andersson, Patiyan
Donner, Erica
Jennison, Amy V
Seemann, Torsten
Djordjevic, Steven P
Howden, Benjamin P
Type of document
Journal Article
OrcId
0000-0002-3842-0479
0000-0001-9333-7160
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
0000-0002-5705-5796
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
0000-0001-6046-610X
0000-0001-9301-5372
0000-0003-0237-1473
DOI
10.1038/s41467-024-55103-2
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.
Link
Citation
Nature communications 2025-01-02; 16(1)
Jornal Title
Nature communications
ISSN
2041-1723

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