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PMID: 8896353 Published · ppublish English Comparative Study Journal Article

A probability matrix for the identification of campylobacters, helicobacters and allied taxa.

The Journal of applied bacteriology ·Vol. 81 ·No. 4 ·1996-10-00 ·Pages 425-32

On SL, Holmes B, Sackin MJ

Abstract

A probabilistic identification matrix for campylobacteria, comprising 76 phenotypic characters and 37 taxa, is described. The accuracy and integrity of the matrix was evaluated using established computer-assisted methods. Certain taxa (for example, Campylobacter concisus and Camp. gracilis) demonstrated significant phenotypic diversity; previous data corroborated these findings. Differentiation between a few pairs of taxa proved difficult, although discriminatory characteristics were noted in each of these cases. The results indicate that most campylobacteria can be identified accurately and objectively with phenotypic tests when probabilistic methods of data assessment are employed.

MeSH Terms
Campylobacter/classification Classification/methods Cluster Analysis Computer Simulation Gram-Negative Bacteria/classification Helicobacter/classification Models, Theoretical Probability
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
On S L
National Collection of Type Cultures, Central Public Health Laboratory, London, UK.
Holmes B
Sackin M J
Article Info
Journal
The Journal of applied bacteriology
Abbr.
J Appl Bacteriol
ISSN
0021-8847
Published
1996-10-00
Pages
425-32
Language
English
Region
England
NLM ID
7503050
Subset
IM
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