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Application of the Mast resistotyping scheme to Campylobacter jejuni and C. coli

R J Owen1, E Lorenz, J Gibson

  • 1Campylobacter Special Projects Unit, Laboratory of Enteric Pathogens, Central Public Health Laboratory, London.

Insights

The Mast resistotyping scheme identified 14 resistotypes in Campylobacter jejuni and 16 in C. coli, but showed limited correlation with serotypes or genomic markers. This method offers rapid strain differentiation when combined with other typing techniques.

Area of Science:

  • Microbiology
  • Bacteriology
  • Molecular Typing

Background:

  • Campylobacter jejuni and C. coli are significant causes of enteric infections.
  • Accurate strain differentiation is crucial for epidemiological studies and outbreak investigations.
  • The Mast resistotyping scheme is a potential method for bacterial strain typing.

Purpose of the Study:

  • To evaluate the effectiveness of the Mast resistotyping scheme for differentiating Campylobacter jejuni and C. coli strains.
  • To assess the correlation between resistotypes and other typing methods (serotyping, genomic markers).

Main Methods:

  • Resistotyping was performed on 228 strains of Campylobacter jejuni and C. coli from various sources.
  • Strains were also characterized by Penner heat-stable (HS) serotyping and genomic markers (ribotype, PFGE, fla-type).
  • Reproducibility and interpretation of sensitivity zones for specific antimicrobials were assessed.

Main Results:

  • Fourteen resistotypes were identified in C. jejuni and 16 in C. coli.
  • The predominant resistotypes were 00 and 40 for both species.
  • Resistotypes showed poor correlation with Penner HS serotypes and genomic markers.
  • Some challenges were noted in the reproducibility and interpretation of sensitivity zones for certain antimicrobials.

Conclusions:

  • Resistotyping provides a rapid method for distinguishing some Campylobacter strains.
  • The scheme's discriminatory power is limited for common resistotypes and requires combination with other typing methods.
  • Further optimization may be needed to address reproducibility issues with specific antimicrobials.

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