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Application of Multivariate Analyses of Enzymic Data to Classification of Members of the Actinobacillus-Haemophilus-Pasteurella Group

Veslemøy Myhrvold¹, Ilia Brondz^2, and Ingar Olsen^1,*

¹Department of Microbiology, Dental Faculty, University of Oslo, Oslo, Norway
²Research Department, National Institute of Occupational Health, Umeå, Sweden

^* Corresponding author.

ABSTRACT

Outer membrane vesicles and fragments from Actinobacillus actinomycetemcomitans, Actinobacillus lignieresii, Actinobacillus ureae, Haemophilus aphrophilus, Haemophilus paraphrophilus, Haemophilus influenzae, Haemophilus parainfluenzae, Pasteurella haemolytica, and Pasteurella multocida were isolated and examined semiquantitatively for 19 enzyme activities by using the API ZYM micromethod. The enzyme contents of vesicles and fragments were compared with the enzyme contents of whole cells of the same organisms. Enzymic data were analyzed by using principal-component analysis and soft independent modeling of class analogy. This technique allowed us to distinguish among the closely related organisms A. actinomycetemcomitans, H. aphrophilus, and H. paraphrophilus. A. actinomycetemcomitans was divided into two groups of strains. A. lignieresii fell outside or on the border of the A. actinobacillus class. A. ureae, H. influenzae, H. parainfluenzae, P. haemolytica, and P. multocida fell outside the A. actinomycetemcomitans, H. aphrophilus, and H. paraphrophilus classes.

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