scholarly journals Insight into Shiga toxin genes encoded byEscherichia coliO157 from whole genome sequencing

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e739 ◽  
Author(s):  
Philip M. Ashton ◽  
Neil Perry ◽  
Richard Ellis ◽  
Liljana Petrovska ◽  
John Wain ◽  
...  
2019 ◽  
Vol 12 (6) ◽  
pp. 884-889 ◽  
Author(s):  
Baha Abdalhamid ◽  
Emily L. Mccutchen ◽  
Alyssa C. Bouska ◽  
Zhang Weiwei ◽  
Brianna Loeck ◽  
...  

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.


2014 ◽  
Vol 31 (6) ◽  
pp. 1475-1489 ◽  
Author(s):  
Zhenxin Fan ◽  
Guang Zhao ◽  
Peng Li ◽  
Naoki Osada ◽  
Jinchuan Xing ◽  
...  

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.


Genes ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1803
Author(s):  
Jitendra Singh ◽  
Anvita Gupta Malhotra ◽  
Debasis Biswas ◽  
Prem Shankar ◽  
Leena Lokhande ◽  
...  

India experienced a tragic second wave after the end of March 2021, which was far more massive than the first wave and was driven by the emergence of the novel delta variant (B.1.617.2) of the SARS-CoV-2 virus. In this study, we explored the local and national landscape of the viral variants in the period immediately preceding the second wave to gain insight into the mechanism of emergence of the delta variant and thus improve our understanding of the causation of the second wave. We randomly selected 20 SARS-CoV-2 positive samples diagnosed in our lab between 3 February and 8 March 2021 and subjected them to whole genome sequencing. Nine of the 20 sequenced genomes were classified as kappa variant (B.1.617.1). The phylogenetic analysis of pan-India SARS-CoV-2 genome sequences also suggested the gradual replacement of the α variant with the kappa variant during this period. This relative consolidation of the kappa variant was significant, since it shared 3 of the 4 signature mutations (L452R, E484Q and P681R) observed in the spike protein of delta variant and thus was likely to be the precursor in its evolution. This study demonstrates the predominance of the kappa variant in the period immediately prior to the second wave and underscores its role as the “bridging variant” between the α and delta variants that drove the first and second waves of COVID-19 in India, respectively.


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