High virulence gene diversity in Streptococcus pyogenes isolated in Central Italy.
Daniela BencardinoMaria Chiara Di LucaDezemona PetrelliManuela PrennaLuca Agostino VitaliPublished in: PeerJ (2019)
Globally, Streptococcus pyogenes poses a continuous burden on human health, causing both self-limiting and life-threatening diseases. Therefore, studying the profile of virulence genes and their combinations is essential to monitor the epidemiology and pathogenic potential of this important species. Thus, the aim of this study was to analyze related genetic features of clinical strains collected in Italy in 2012 in order to obtain a valid picture of their virulence profile that could be compared to similar studies made in other countries approximately in the same period. We conducted emm typing and fibronectin-collagen-T antigen (FCT) region typing in 122 Streptococcus pyogenes strains. Furthermore, several additional virulence genes were screened by polymerase chain reaction. We found correlations between emm types and FCT region profiles. emm1 strains were mainly associated with FCT2 and FCT6, while emm89 and emm12 strains were associated with FCT4. FCT5 was mainly represented in emm4, emm6, and emm75 strains. Significantly, we defined subtypes for each FCT type based on the differences in single and double loci compared to the reference scheme used for the classification of the FCT region. In addition, new FCT-region variants with differences in multiple loci were also recorded. Cluster analysis based on virulence gene profiling showed a non-random distribution within each emm type. This study added new data to existing studies conducted worldwide and revealed new variability scores in circulating Streptococcus pyogenes strains and new assortments in well-established virulence gene signatures.
Keyphrases
- escherichia coli
- biofilm formation
- genome wide
- pseudomonas aeruginosa
- staphylococcus aureus
- copy number
- candida albicans
- human health
- antimicrobial resistance
- dna methylation
- genome wide identification
- risk assessment
- gene expression
- climate change
- cystic fibrosis
- single cell
- genome wide analysis
- transcription factor
- big data
- case control