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Federal government websites often end in. The site is secure. Preview improvements coming to the PMC website in October Learn More or Try it out now. At the end of into early , the UK Health Security Agency reported unusually high levels of scarlet fever and invasive disease caused by Streptococcus pyogenes StrepA or group A Streptococcus. During this time, we collected and genome-sequenced non-invasive throat and skin S. We compared the data with that obtained from a similar collection of isolates from to Numbers of throat-associated isolates collected peaked in early December , reflecting the national scarlet fever upsurge, while skin infections peaked later in December.
The most common emm -types in — were emm 1 While all emm 1 isolates were the M1 UK lineage, the comparison with — revealed diverse lineages in other emm -types, including emm 12, and emergent lineages within other types including a new acapsular emm 75 lineage, demonstrating that the upsurge was not completely driven by a single genotype.
Our study has highlighted the value in analysis of non-invasive isolates to characterize tissue tropisms, as well as changing strain diversity and emerging genomic features which may have implications for spillover into invasive disease and future S. The human bacterial pathogen Streptococcus pyogenes , also known as group A Streptococcus or StrepA, caused a dramatic and sudden upsurge in scarlet fever in the UK at the end of into early We present molecular characterization of this upsurge, through genome sequence analysis of throat, skin and other types of non-severe infection isolates collected by the microbiology diagnostic lab at the Northern General Hospital in Sheffield, England.
We found that while two strain types were the predominant cause of infections during the upsurge, other types had emerged or changed when compared with a similar collection from to We also identified differences between throat-associated isolates and skin-associated isolates and highlighted important bacterial factors that might influence infection types.
