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Clinical Significance of Antibiotic Resistance

Methicillin-resistant Staphylococcus aureus (MRSA) presents a critical public health threat, arising from its capacity to resist β-lactam antibiotics due to acquisition of the mecA gene within the staphylococcal cassette chromosome mec (SCCmec). This gene encodes penicillin-binding protein 2a (PBP2a), which impairs binding efficacy of methicillin and other β-lactams. MRSA has evolved into distinct clonal lineages impacting humans and animals alike, reinforcing its significance within the One...
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Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus (MRSA)
12:18

Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus (MRSA)

Published on: February 9, 2011

Comparative analysis of MRSA.

Fumihiko Takeuchi1, Tadashi Baba, Keiichi Hiramatsu

  • 1Department of Infection Control Science, Juntendo University, Tokyo, Japan.

Methods in Molecular Biology (Clifton, N.J.)
|November 21, 2007
PubMed
Summary
This summary is machine-generated.

This chapter details computational methods for comparing methicillin-resistant Staphylococcus aureus (MRSA) genes and genomes. It guides researchers in using comparative genomics to understand MRSA characteristics and pathogenicity.

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Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus (MRSA)
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Multiplex PCR Assay for Typing of Staphylococcal Cassette Chromosome Mec Types I to V in Methicillin-resistant Staphylococcus aureus
09:03

Multiplex PCR Assay for Typing of Staphylococcal Cassette Chromosome Mec Types I to V in Methicillin-resistant Staphylococcus aureus

Published on: September 5, 2013

Area of Science:

  • Bioinformatics
  • Genomics
  • Microbiology

Background:

  • Methicillin-resistant Staphylococcus aureus (MRSA) poses a significant public health threat.
  • Understanding MRSA's genetic makeup is crucial for combating its pathogenicity.
  • The
  • genome era
  • demands advanced computational tools for biological analysis.

Purpose of the Study:

  • To explain computer techniques for comparing genes, proteins, and genomes of MRSA strains.
  • To guide physicians and researchers in utilizing comparative genomics for MRSA analysis.
  • To provide methods for extracting sequence and pathway differences between bacterial strains.

Main Methods:

  • Comparative genomics methodology involving DNA sequence and phenotype data acquisition.
  • Inferring genotype-phenotype relationships from sequence similarities and differences.
  • Computer analysis of nucleotide, amino acid, and whole genome sequences.
  • Methods for comparing metabolic pathways between strains with varying gene sets.

Main Results:

  • The chapter outlines computational approaches, not experimental results.
  • It details how sequence comparisons can inform hypotheses about MRSA characteristics.
  • Methods are presented for identifying differences and similarities in genetic material and pathways.

Conclusions:

  • Computer-aided comparative genomics is essential for understanding MRSA.
  • These techniques aid in deciphering the physiological characteristics and pathogenic abilities of MRSA.
  • The chapter provides a computational framework for analyzing bacterial genomics.