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Draft genome sequence of a human-associated streptogramin-resistant Staphylococcus aureus

Sushim K Gupta1, Poonam Sharma1, John B Barrett1

  • 1Bacterial Epidemiology and Antimicrobial Resistance Research Unit, Richard B. Russell Research Center, US National Poultry Research Center, USDA-ARS, Athens, GA 30605, USA.

Journal of Global Antimicrobial Resistance
|December 16, 2018
PubMed
Abstract

Insights

Genomic analysis of Staphylococcus aureus strain CIP108540 revealed multiple antimicrobial resistance genes. This study enhances understanding of the bacterial resistome and informs strategies against infections caused by this pathogen.

Area of Science:

  • Microbiology
  • Genomics
  • Infectious Diseases

Background:

  • Staphylococcus aureus is a major cause of hospital and community infections.
  • Antibiotic resistance, particularly to macrolide-lincosamide-streptogramin (MLS) drugs, is a growing concern.
  • Previous studies confirmed streptogramin resistance in S. aureus strain CIP108540, but the full spectrum of MLS resistance genes was unknown.

Purpose of the Study:

  • To analyze the complete genome sequence of S. aureus strain CIP108540.
  • To identify all antimicrobial resistance genes present in this strain, focusing on MLS resistance.
  • To contribute to understanding the genetic basis of antibiotic resistance in S. aureus.

Main Methods:

  • Whole-genome sequencing of S. aureus CIP108540 using Illumina MiSeq technology.
  • De novo assembly of sequencing reads utilizing the A5-miseq pipeline.
  • Bioinformatic analysis to identify antimicrobial resistance genes.

Main Results:

  • The draft genome of S. aureus CIP108540 has a size of 3,014,273 bp with a GC content of 32.72%.
  • The genome contains 3,063 predicted coding sequences and 59 tRNAs.
  • Several genes conferring resistance to various antibiotics, including MLS agents, were identified.

Conclusions:

  • The released draft genome sequence of S. aureus CIP108540 provides crucial insights into its genetic composition.
  • This genomic data is valuable for understanding the strain's resistome.
  • The findings support further research into the mechanisms of antibiotic resistance in S. aureus.
Keywords:
MRSAStaphylococcus aureusStreptogramin resistancevatvgaB

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