Search

Background. Invasive group A Streptococcus (iGAS) disease caused by type emm89 strains has been increasing worldwide, driven by the emergence of an epidemic clonal variant (clade 3 emm89). The clinical characteristics of patients with emm89 iGAS disease, and in particular with clade 3 emm89 iGAS disease, are poorly described. Methods. We used population-based iGAS surveillance data collected in metropolitan Toronto, Ontario, Canada during the period 2000-2014. We sequenced the genomes of 105 emm89 isolates representing all emm89 iGAS disease cases in the area during the period and 138 temporally matched emm89 iGAS isolates collected elsewhere in Ontario. Results. Clades 1 and 2 and clade O, a newly discovered emm89 genetic variant, caused most cases of emm89 iGAS disease in metropolitan Toronto before 2008. After rapid emergence of new clade 3, previously circulating clades were purged from the population and the incidence of emm89 iGAS disease significantly increased from 0.14 per 100 000 in 2000-2007 to 0.22 per 100 000 in 2008-2014. Overall, emm89 organisms caused significantly more arthritis but less necrotizing fasciitis than strains of the more common type emm1. Other clinical presentations were soft tissue and severe respiratory tract infections. Clinical outcomes did not differ significantly between emm89 clades overall. However, clade 3 emm89 iGAS disease was more common in youth and middle-aged individuals. Conclusions. The rapid shift in emm89 iGAS strain genetics in metropolitan Toronto has resulted in a significant increase in the incidence of emm89 iGAS disease, with noticeably higher rates of clade 3 disease in younger patients. [ABSTRACT FROM AUTHOR]

Group A Streptococcus (GAS) is a human-adapted pathogen that causes a variety of diseases, including pharyngitis and invasive infections. GAS strains are categorized by variation in the nucleotide sequence of the gene (emm) that encodes the M protein. To identify the emm types of GAS strains causing pharyngitis in Ontario, Canada, we sequenced the hypervariable region of the emm gene in 4,635 pharyngeal GAS isolates collected during 2002-2010. The most prevalent emm types varied little from year to year. In contrast, fine-scale geographic analysis identified inter-site variability in the most common emm types. Additionally, we observed fluctuations in yearly frequency of emm3 strains from pharyngitis patients that coincided with peaks of emm3 invasive infections. We also discovered a striking increase in frequency of emm89 strains among isolates from patients with pharyngitis and invasive disease. These findings about the epidemiology of GAS are potentially useful for vaccine research. [ABSTRACT FROM AUTHOR]

Understanding the fine-structure molecular architecture of bacterial epidemics has been a long-sought goal of infectious disease research. We used short-read-length DNA sequencing coupled with mass spectroscopy analysis of SNPs to study the molecular pathogenomics of three successive epidemics of invasive infections involving 344 serotype M3 group A Streptococcus in Ontario, Canada. Sequencing the genome of 95 strains from the three epidemics, coupled with analysis of 280 biallelic SNPs in all 344 strains, revealed an unexpectedly complex population structure composed of a dynamic mixture of distinct clonally related complexes. We discovered that each epidemic is dominated by micro- and macrobursts of multiple emergent clones, some with distinct strain genotype-patient phenotype relationships. On average, strains were differentiated from one another by only 49 SNPs and 11 insertion-deletion events (indels) in the core genome. Ten percent of SNPs are strain specific; that is, each strain has a unique genome sequence. We identified nonrandom temporal-spatial patterns of strain distribution within and between the epidemic peaks. The extensive full-genome data permitted us to identify genes with significantly increased rates of nonsynonymous (amino acid-altering) nucleotide polymorphisms, thereby providing clues about selective forces operative in the host. Comparative expression microarray analysis revealed that closely related strains differentiated by seemingly modest genetic changes can have significantly divergent transcriptomes. We conclude that enhanced understanding of bacterial epidemics requires a deep-sequencing, geographically centric, comparative pathogenomics strategy.