Genotypic characterization of Streptococcus didelphis causative of fatal infection in white-eared opossums.
Gabriela Merker BreyerMaria Eduarda Rocha Jacques da SilvaMônica SlavieroBruno Albuquerque de AlmeidaEmanoelly Machado Sousa da SilvaVictória Regina de Queiroz SchmidtMarcelo AlieviGrazieli MaboniSaulo Petinatti PavariniFranciele Maboni SiqueiraPublished in: Letters in applied microbiology (2023)
Streptococcus didelphis was reported once as related to severe infections in opossums. Thus, we present the first comprehensive whole-genome characterization of clinical S. didelphis strains isolated from white-eared opossums (Didelphis albiventris). Long-read whole-genome sequencing was performed using the MinION platform, which allowed the prediction of several genomic features. We observed that S. didelphis genomes harbor a cluster for streptolysin biosynthesis, and a conserved genomic island with genes involved in transcriptional regulation (arlR) and transmembrane transport (bcrA). Antimicrobial resistance genes for several drug classes were found including beta-lactam, which is the main antimicrobial class used in Streptococcus spp. infections; however no phenotypical resistance was observed. In addition, we predicted the presence of 33 virulence factors in the analyzed genomes. High phylogenetic similarity was observed between clinical and reference strains, yet no clonality was suggested. We also proposed dnaN, gki, pros, and xpt as housekeeping candidates to be used in S. didelphis sequence typing. This is the first whole-genome characterization of S. didelphis, whose data provides important insights on its pathogenicity.
Keyphrases
- antimicrobial resistance
- biofilm formation
- escherichia coli
- staphylococcus aureus
- candida albicans
- pseudomonas aeruginosa
- copy number
- high throughput
- gene expression
- genome wide
- dna methylation
- cystic fibrosis
- machine learning
- artificial intelligence
- multidrug resistant
- deep learning
- gram negative
- genome wide analysis