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Updated: May 28, 2026

Genotyping of Staphylococcus aureus by Ribosomal Spacer PCR (RS-PCR)
Published on: November 4, 2016
Molecular Characterization and Comparative Genomics of Two Staphylococcus pseudintermedius Strains from Humans in
Ola K Elsakhawy1, Haitham Elaadli2, Yassien Badr3
1Department of Veterinary Biomedical Sciences, Rowan University, Glassboro, NJ 08062, USA.
Genomic sequencing of Staphylococcus pseudintermedius from human infections in Egypt revealed novel strains. This finding is crucial for understanding zoonotic potential and guiding future public health strategies.
Area of Science:
- Microbiology
- Genomics
- Zoonoses
Background:
- Staphylococcus pseudintermedius, typically found in dogs, is increasingly identified in human infections, raising zoonotic concerns.
- Genomic characterization is vital for understanding antibiotic resistance, pathogenicity, and host adaptation of emerging human pathogens.
Purpose of the Study:
- To perform next-generation genome sequencing and comparative genomic analysis of human S. pseudintermedius isolates from Egypt.
- To assess the genetic relatedness of these isolates to global human S. pseudintermedius populations.
Main Methods:
- Whole-genome sequencing of two human S. pseudintermedius isolates (EGH1, EGH2) using Illumina NovaSeq X Plus.
- Multilocus sequence typing (MLST), pangenome analysis, and antimicrobial resistance gene profiling were conducted.
- Sequence assembly and annotation were performed using Geneious Prime and NCBI Prokaryotic Genome Annotation Pipeline.
Main Results:
- Pangenome analysis revealed a large number of genes, with a significant proportion classified as cloud genes, indicating high genomic diversity.
- MLST identified both isolates as novel sequence types: EGH1 as ST-3037 and EGH2 as ST-2874.
- The study presents the first genomic data for human S. pseudintermedius isolates from Egypt.
Conclusions:
- The genomic data provide insights into the genetic makeup and potential zoonotic capacity of S. pseudintermedius in Egypt.
- Further integrated studies combining genomic, epidemiological, and phenotypic data are necessary to fully understand the implications of these findings.
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