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. 2000 May;38(5):1940-6.
doi: 10.1128/JCM.38.5.1940-1946.2000.

Computer-assisted analysis and epidemiological value of genotyping methods for Campylobacter jejuni and Campylobacter coli

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Computer-assisted analysis and epidemiological value of genotyping methods for Campylobacter jejuni and Campylobacter coli

P de Boer et al. J Clin Microbiol. 2000 May.

Abstract

For epidemiological tracing of the thermotolerant Campylobacter species C. jejuni and C. coli, reliable and highly discriminatory typing techniques are necessary. In this study the genotyping techniques of flagellin typing (flaA typing), pulsed-field gel electrophoresis (PFGE), automated ribotyping, and amplified fragment length polymorphism (AFLP) fingerprinting were compared. The following aspects were compared: computer-assisted analysis, discriminatory power, and use for epidemiological typing of campylobacters. A set of 50 campylobacter poultry isolates from The Netherlands and neighboring countries was analyzed. Computer-assisted analysis made cluster analysis possible and eased the designation of different genotypes. AFLP fingerprinting was the most discriminatory technique, identifying 41 distinct genotypes, while PFGE identified 38 different types, flaA typing discriminated 31 different types, and ribotyping discriminated 26 different types. Furthermore, AFLP analysis was the most suitable method for computer-assisted data analysis. In some cases combining the results of AFLP fingerprinting, PFGE, and flaA typing increased our ability to differentiate strains that appeared genetically related. We conclude that AFLP is a highly discriminatory typing method and well suited for computer-assisted data analysis; however, for optimal typing of campylobacters, a combination of multiple typing methods is needed.

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Figures

FIG. 1
FIG. 1
Dendrogram showing the assigned bands of the flagellin patterns. Levels of similarity were calculated with the Dice coefficient, and for cluster analysis the UPGMA was used. In GelCompar version 4.1 a position tolerance of 1.00% and an optimization of 0.50% were used. The species of the strains are indicated behind the strain number, with J indicating C. jejuni and C indicating C. coli.
FIG. 2
FIG. 2
Dendrogram of the PFGE patterns with designated bands. Cluster analysis was performed as described for Fig. 1. The clusters representing C. jejuni and C. coli are indicated, and the species are indicated behind the strain number, with J indicating C. jejuni and C indicating C. coli. Isolate C2345, which was untypeable, is not shown.
FIG. 3
FIG. 3
Dendrogram of ribotyping data with designated bands. Cluster analysis was performed as described for Fig. 1. The clusters representing C. jejuni and C. coli are indicated, and the species are indicated behind the strain number, with J indicating C. jejuni and C indicating C. coli. ∗ indicates a C. jejuni strain that is clustered among the C. coli strains.
FIG. 4
FIG. 4
Dendrogram of AFLP patterns. Cluster analysis was performed with GelCompar version 4.1 by using the UPGMA and the Pearson product-moment correlation coefficient. The clusters representing C. jejuni and C. coli are indicated, and the species are indicated behind the strain number, with J indicating C. jejuni and C indicating C. coli.

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