Alpha-mannosidase: a rapid test for identification of Arcanobacterium haemolyticum

Author:

Carlson P1,Kontiainen S1

Affiliation:

1. Department of Medical Microbiology, Aurora Hospital, Helsinki, Finland.

Abstract

A 4-h alpha-mannosidase test for identification of Arcanobacterium haemolyticum strains (n = 139) and differentiation of A. haemolyticum from Actinomyces pyogenes strains (n = 30) and other gram-positive rods was evaluated. Practically all A. haemolyticum strains (138 of 139) and the Listeria monocytogenes type strain were alpha-mannosidase positive, while all A. pyogenes strains and Corynebacterium (n = .25) strains as well as the Rhodococcus equi and Erysipelothrix rhusiopathiae type strains were negative. The rapid alpha-mannosidase test, in conjunction with a Gram stain and catalase and reverse CAMP tests, was useful in identification of A. haemolyticum and in differentiation of A. haemolyticum from A. pyogenes and Corynebacterium spp.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Reference9 articles.

1. Evaluation of the RapID ANA II and API ZYM systems for identification of Actinomyces species from clinical specimens;Brander M. A.;J. Clin. Microbiol.,1992

2. The recognition and significance of Arcanobacterium haemolyticum;Clarridge J. E.;Clin. Microbiol. Newsl.,1989

3. Reclassification of "Corynebacterium haemolyticum;Collins M. D.;J. Gen. Microbiol.,1982

4. Evaluation of API Coryne in comparison with conventional methods for identifying coryneform bacteria;Freney J.;J. Clin. Microbiol.,1991

5. Evaluation of the Rapid CORYNE identification system for Corynebacterium species and other coryneforms;Gavin S. E.;J. Clin. Microbiol.,1992

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