The aim of this study was to compare Illumina and Oxford Nanopore Technology (ONT) sequencing data to quantify genetic variation to assess within-outbreak strain relatedness and characterise microevolutionary events in the accessory genomes of a cluster of 23 genetically and epidemiologically linked isolates related to an outbreak of Shiga toxin-producing Escherichia coli O157:H7 caused by the consumption of raw drinking milk. There were seven discrepant variants called between the two technologies, five were false-negative or false-positive variants in the Illumina data and two were false-negative calls in ONT data. After masking horizontally acquired sequences such as prophages, analysis of both short and long-read sequences revealed the 20 isolates linked to the outbreak in 2017 had a maximum SNP distance of one SNP between each other, and a maximum of five SNPs when including three additional strains identified in 2019. Analysis of the ONT data revealed a 47 kbp deletion event in a terminal compound prophage within one sample relative to the remaining samples, and a 0.65 Mbp large chromosomal rearrangement (inversion), within one sample relative to the remaining samples. Furthermore, we detected two bacteriophages encoding the highly pathogenic Shiga toxin (Stx) subtype, Stx2a. One was typical of Stx2a-phage in this sub-lineage (Ic), the other was atypical and inserted into a site usually occupied by Stx2c-encoding phage. Finally, we observed an increase in the size of the pO157 IncFIB plasmid (1.6 kbp) in isolates from 2019 compared to those from 2017, due to the duplication of insertion elements within the plasmids from the more recently isolated strains. The ability to characterize the accessory genome in this way is the first step to understanding the significance of these microevolutionary events and their impact on the genome plasticity and virulence between strains of this zoonotic, foodborne pathogen.
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http://dx.doi.org/10.1038/s41598-024-54662-0 | DOI Listing |
J Food Prot
December 2024
Department of Food Science and Technology, College of Food Agriculture and Environmental Sciences, The Ohio State University, Columbus, Ohio, USA.
Contamination of milk is a serious public health risk, particularly in developing countries such as Ethiopia. Training is a tool for improving the quality and safety of milk. However, its effect on the microbial quality and safety of milk has not been well documented.
View Article and Find Full Text PDFPol J Vet Sci
September 2024
Department of Veterinary Microbiology, College of Veterinary and Animal Science, Navania, Vallabhnagar, Udaipur, Rajasthan University of Veterinary and Animal Sciences (RAJUVAS), Rajasthan, India.
The present study aimed to detect the prevalence, virulence and antimicrobial resistance genes profile of Escherichia coli isolated from diarrhoeic lambs. A total of 61 faecal samples were collected from diarrhoeic lambs. The presence of various virulence and antimicrobial resistance genes in E.
View Article and Find Full Text PDFJ Gastroenterol
December 2024
Department of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Epidemiol Infect
December 2024
UK Health Security Agency, London, UK.
Shiga toxin-producing (STEC) is a group of bacteria that causes gastrointestinal illness and occasionally causes large foodborne outbreaks. It represents a major public health concern due to its ability to cause severe illness which can sometimes be fatal. This study was undertaken as part of a rapid investigation into a national foodborne outbreak of STEC O145.
View Article and Find Full Text PDFIntern Med
December 2024
Department of Healthcare Epidemiology, Kyoto University Graduate School of Medicine/Public Health, Japan.
Introduction Evidence-based medicine (EBM) competency is crucial for healthcare professionals; however, validated tools to assess EBM skills in Japanese are scarce. This study aimed to develop and validate a Japanese version of the Assessing Competency in EBM (ACE) tool. Methods We translated the ACE tool into Japanese, following international standards, and distributed it online to 99 healthcare professionals and students.
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