scholarly journals Peer Review #2 of "Insight into Shiga toxin genes encoded by Escherichia coli O157 from whole genome sequencing (v0.1)"

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e739 ◽  
Author(s):  
Philip M. Ashton ◽  
Neil Perry ◽  
Richard Ellis ◽  
Liljana Petrovska ◽  
John Wain ◽  
...  

2016 ◽  
Vol 4 (6) ◽  
Author(s):  
Claudia Carolina Carbonari ◽  
Nahuel Fittipaldi ◽  
Sarah Teatero ◽  
Taryn B. T. Athey ◽  
Luis Pianciola ◽  
...  

Shiga toxin-producing Escherichia coli strains are worldwide associated with sporadic human infections and outbreaks. In this work, we report the availability of high-quality draft whole-genome sequences for 19 O157:H7 strains isolated in Argentina.


2019 ◽  
Vol 12 (6) ◽  
pp. 884-889 ◽  
Author(s):  
Baha Abdalhamid ◽  
Emily L. Mccutchen ◽  
Alyssa C. Bouska ◽  
Zhang Weiwei ◽  
Brianna Loeck ◽  
...  

BMC Genomics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Lauren A Cowley ◽  
Stephen J Beckett ◽  
Margo Chase-Topping ◽  
Neil Perry ◽  
Tim J Dallman ◽  
...  

2019 ◽  
Vol 24 (4) ◽  
Author(s):  
Claire Jenkins ◽  
Timothy J Dallman ◽  
Kathie A Grant

We aim to provide insight and guidance on the utility of whole genome sequencing (WGS) data for investigating food-borne outbreaks of Shiga toxin-producing Escherichia coli (STEC) O157:H7 in England between 2013 and 2017. Analysis of WGS data delivered an unprecedented level of strain discrimination when compared with multilocus variable number tandem repeat analysis. The robustness of the WGS method ensured confidence in the microbiological identification of linked cases, even when epidemiological links were obscured. There was evidence that phylogeny derived from WGS data can be used to trace the geographical origin of an isolate. Further analysis of the phylogenetic data provided insight on the evolutionary context of emerging pathogenic strains. Publically available WGS data linked to the clinical, epidemiological and environmental context of the sequenced strain has improved trace back investigations during outbreaks. Expanding the use of WGS-based typing analysis globally will ensure the rapid implementation of interventions to protect public health, inform risk assessment and facilitate the management of national and international food-borne outbreaks of STEC O157:H7.


2019 ◽  
Vol 82 (8) ◽  
pp. 1398-1404 ◽  
Author(s):  
RENATE BOSS ◽  
JOERG HUMMERJOHANN

ABSTRACT Shiga toxin–producing Escherichia coli (STEC) strains are often found in food and cause human infections. Although STEC O157:H7 is most often responsible for human disease, various non-O157 subtypes have caused individual human infections or outbreaks. The importance of STEC serogroup typing is decreasing while detection of virulence gene patterns has become more relevant. Whole genome sequencing (WGS) reveals the entire spectrum of pathogen information, such as toxin variant, serotype, sequence type, and virulence factors. Flour has not been considered as a vector for STEC; however, this product has been associated with several STEC outbreaks in the last decade. Flour is a natural product, and milling does not include a germ-reducing step. Flour is rarely eaten raw, but the risks associated with the consumption of unbaked dough are probably underestimated. The aim of this study was to determine the prevalence of STEC in flour samples (n = 93) collected from Swiss markets and to fully characterize the isolates by PCR assay and WGS. The prevalence of STEC in these flour samples was 10.8% as indicated by PCR, and a total of 10 STEC strains were isolated (two flour samples were positive for two STEC subtypes). We found one stx2-positve STEC isolate belonging to the classic serogroups frequently associated with outbreaks that could potentially cause severe disease. However, we also found several other common or less common STEC subtypes with diverse virulence patterns. Our results reveal the benefits of WGS as a characterization tool and that flour is a potentially and probably underestimated source for STEC infections in humans.


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