Comparative genomic analysis of skin and soft tissue Streptococcus pyogenes isolates from low- and high-income settings

Authors:
Preprint
Publisher website
Google Scholar
Abstract
Streptococcus pyogenes is a leading cause of human morbidity and mortality, especially in resource limited settings. The World Health Organisation has recently made a vaccine for S. pyogenes a global health priority to reduce the burden of the post-infection rheumatic heart disease. For a vaccine to be active against all relevant strains in each region, molecular characterisation of circulating S. pyogenes isolates is needed. We performed extensive comparative whole genome analyses of S. pyogenes isolates from skin and soft tissue infections in The Gambia, West Africa, where there is a high burden of such infections. To act as a comparator to this low-income country (LIC) collection of isolates, we performed genome sequencing of isolates from skin infections in Sheffield, UK, as representative high-income country (HIC) isolates. LIC isolates from The Gambia were genetically more diverse (46 emm -types in 107 isolates) compared to HIC isolates from Sheffield (23 emm -types in 142 isolates), with only 7 overlapping emm -types and with diverse genetic backgrounds. Characterisation of other molecular markers indicated some shared features, including a high prevalence of the skin infection-associated emm -pattern D and the variable fibronectin-collagen-T antigen (FCT) types FCT-3 and FCT-4. A previously unidentified FCT (FCT-10) was identified in the LIC isolates, belonging to two different emm -types. A high proportion (79/107; 73.8%) of LIC isolates carried genes for tetracycline resistance, compared to 53/142 (37.3%) HIC isolates. There was also evidence of different circulating prophages, as very few prophage-associated DNases and lower numbers of superantigens were detected in LIC isolates. Our study provides much needed insight into the genetics of circulating isolates in a LIC (The Gambia), and how they differ from those circulating in HICs (Sheffield, UK). Common molecular features may act as bacterial drivers for specific infection types, regardless of the diverse genetic background.

This publication has 37 references indexed in Scilit: