1887

Abstract

Chemotaxonomic data for strains of and spp. were analysed using three multivariate statistical-andstrategies; principal components, partial least squares discriminant, and soft independent modelling of class analogy. The species comprised and . Strains were characterized by cell sugar and fatty acid composition, lysis kinetics during EDTA and EDTA plus lysozyme treatment, and methylene blue reduction. In total 23 quantitative variables were compiled from chemotaxonomic analyses of 25 strains. and formed distinct classes which differed from those of and spp. All characterization variables, except those describing fatty acid content, contributed significantly to inter-species discrimination.

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1990-03-01
2021-10-20
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References

  1. Blomquist G., Johanson E., Söderström B., Wold S. 1979; Classification of fungi by means of pyrolysis-gas chromatography-pattern recognition. Journal of Chromatography 173:19–32
    [Google Scholar]
  2. Brondz I., Olsen I. 1984; Whole-cell methanolysis as a rapid method for differentiation between Actinobacillus actinomycetemcomitans and Haemophilus aphrophilus. Journal of Chromatography 311:347–353
    [Google Scholar]
  3. Brondz I., Olsen I. 1985a; Differentiation between major species of the Actinobacillus-Haemophilus-Pasteurella group by gas chromatography of trifluoroacetic acid anhydride derivatives from whole cell methanolysates. Journal of Chromatography 342:13–23
    [Google Scholar]
  4. Brondz I., Olsen I. 1985b; Differentiation between closely related organisms within Actinobacillus, Haemophilus, Pasteurella, Streptococcus, and Bacteroides by enzymatic reduction of methylene blue. 2nd European Congress of Clinical Microbiology abstract no.21/9
    [Google Scholar]
  5. Brondz I., Olsen I. 1985c; Differentiation amongst major species of the Actinobacillus-Haemophilus-Pasteurella group with EDTA and EDTA/lysozyme. 13th International Congress of Biochemistry (Amsterdam), abstract no. TU-292 p. 304
    [Google Scholar]
  6. Brondz I., Olsen I. 1986a; Chemotaxonomy of selected species of the Actinobacillus-Haemophilus-Pasteurella group by means of gas chromatography, gas chromatography-mass spectrometry and bioenzymatic methods. Journal of Chromatography 380:1–17
    [Google Scholar]
  7. Brondz I., Olsen I. 1986b; Microbial chemotaxonomy.Chromatography, electrophoresis and relevant profiling techniques. Journal of Chromatography 379:367–411
    [Google Scholar]
  8. Brondz I., Olsen I. 1989; Chemical differences in lipopolysac-charides from Actinobacillus (Haemophilus) actinomycetemcomitansand Haemophilus aphrophilus: clues to differences in periodonto-pathogenic potential and taxonomic distinction. Infection and Immunity 57:3106–3109
    [Google Scholar]
  9. Brondz I., Carlsson J., Sjöström M., Sundqvist G. 1989a; Significance of cellular fatty acids and sugars in defining the genus Porphyromonas. International Journal of Systematic Bacteriology 39:314–318
    [Google Scholar]
  10. Brondz I., Olsen I., Sjöström M. 1989b; Gas chromatographic assessment of alcoholyzed fatty acids from yeasts: a new chemotaxonomic method. Journal of Clinical Microbiology 27:2815–2819
    [Google Scholar]
  11. Geladi P., Kowalski B. R. 1986; Partial least squares regression: a tutorial. Analytica Chimica Acta 185:1–17
    [Google Scholar]
  12. Jellum E., Tingelstad V., Olsen I. 1984; Differentiation between Actinobacillusactinomycetemcomitans and Haemophilusaphrophilus by high-resolution, two-dimensional protein electrophoresis. International Journal of Systematic Bacteriology 34:478–483
    [Google Scholar]
  13. Jollés P., Zowall H., Jaurequi-Adell J., Jollés J. 1962; Nouvelle méthode chromatographique de preparation des lysozymes. Journal of Chromatography 8:363–368
    [Google Scholar]
  14. Jolliffe I. T. 1986 Principal Component Analysis. New York: Springer-Verlag;
    [Google Scholar]
  15. Kilian M. 1976; A taxonomic study of the genus Haemophilus, with the proposal of a new species. Journal of General Microbiology 93:9–62
    [Google Scholar]
  16. Mutters R., Piechulla K., Mannheim W. 1984; Phenotypic differentiation of Pasteurellasensustricto and the Actinobacillus group. European Journal of Clinical Microbiology 3:225–229
    [Google Scholar]
  17. Olsen I., Brondz I. 1985; Differentiation among closely related organisms of the Actinobacillus-Haemophilus-Pasteurella group by means of lysozyme and EDTA. Journal of Clinical Microbiology 22:629–636
    [Google Scholar]
  18. Olsen I., Caugant D. A. 1988; Genetic diversity and relationships among strains of A. actinomycetemcomitans, H. aphrophilus and H. paraphrophilus. Journal of Dental Research 67 (special issue) abstract no. 2259 p. 395
    [Google Scholar]
  19. Olsen I., Rosseland S. K., Thorsrud A. K., Jellum E. 1987; Differentiation between Haemophilusparaphrophilus, H. aphrophilus, H. influenzae, Actinobacillusactinomycetemcomitans, Pasteurellamultocida, P. haemolytica and P. ureae by high resolution, twodimensional protein electrophoresis. Electrophoresis 8:532–535
    [Google Scholar]
  20. Potts T. V., Zambon J. J., Genco R. J. 1985; Reassignment of Actinobacillus actinomycetemcomitans to the genus Haemophilus as Haemophilus actinomycetemcomitans comb.nov. International Journal of Systematic Bacteriology 35:337–341
    [Google Scholar]
  21. Sørensen B., Falk E. S., Wisløff-Nilsen E., Bjorvatn B., Kristiansen B. E. 1985; Multivariate analysis of Neisseria DNA restriction endonuclease restriction patterns. Journal of General Microbiology 131:3099–3104
    [Google Scholar]
  22. Tanner A.C.R., Visconti R. A., Socransky S. S., Holt S. C. 1982; Classification and identification of Actinobacillus actinomycetemcomitans and Haemophilus aphrophilus by cluster analysis and deoxyribonucleic acid hybridizations. Journal of Periodontal Research 17:585–596
    [Google Scholar]
  23. Topliss J. G., Edwards R. P. 1979; Chance factors in studies of quantitative structure activity relationships. Journal of Medical Chemistry 22:1238–1244
    [Google Scholar]
  24. Wold S. 1976; Pattern recognition by means of disjoint principal components models. Pattern Recognition 8:127–139
    [Google Scholar]
  25. Wold S. 1978; Cross-validatory estimation of the number of components in factor and principal components models. Technometrics 20:397–405
    [Google Scholar]
  26. Wold S., Esbensen K., Geladi P. 1987 Chemometrics and Intelligent Laboratory Systems 2:37–52
    [Google Scholar]
  27. Wold S., Albano C., Dunn W. J. III Esbensen K., Hellberg S., Johanson E., Sjöström M. 1983; Pattern recognition: finding and using regularities in multivariate data. In Food Research and Data Analysis, pp 147–188 Martens H., Russwurm H. Edited by London & New York: Applied Sciences Publishers;
    [Google Scholar]
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