1887

Abstract

The volatile fatty acids produced in culture medium by 357 strains belonging to eight species were determined quantitatively by GLC. The resultant chromatograms were submitted to discriminant analysis. Stable discriminant functions were computed and included in a computerized identification system which also involved some distinctive volatile fatty acids regarded as two-state qualitative characters (presence or absence characters). Using a test group of 249 strains belonging to the studied species, more than 89% of the identifications made by this system agreed with those made by conventional biochemical methods despite the relatively poor differentiation between and When the individual species within the matrices were weighted with prior probabilities reflecting results given by two simple biochemical tests, 96% of the 249 strains were correctly identified.

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/content/journal/micro/10.1099/00221287-130-12-3175
1984-12-01
2021-10-21
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References

  1. Anderson T.W. 1958 An Introduction to Multivariate Statistical Analysis. New York: John Wiley;
    [Google Scholar]
  2. Bergan T. 1981; Human and animal pathogenic members of the genus Pseudomonas. . In The Prokaryotes pp. 666–700 Starr H.P., Stolp H., Trüper H.G., Balows A., Schlegel H.G. Edited by Berlin, Heidelberg , New-York: Springer Verlag;
    [Google Scholar]
  3. Darland G. 1975; Discriminant analysis of antibiotic susceptibility as a means of bacterial identification. Journal of Clinical Microbiology 2:391–396
    [Google Scholar]
  4. Deacon A.G., Duerden B.I., Holbrook W.P. 1978; Gas-liquid chromatographic analysis of metabolic products in the identification of Bacteroi- daceae of clinical interest. Journal of Medical Microbiology 11:81–89
    [Google Scholar]
  5. Drucker D.B. 1974; Chemotaxonomic fatty acid fingerprints of some streptococci with subsequent statistical analysis. Canadian Journal of Microbiology 20:1723–1728
    [Google Scholar]
  6. Dybrowsky W., Franklin D.A. 1968; Conditional probability and the identification of bacteria: a pilot study. Journal of General Microbiology 54:212–229
    [Google Scholar]
  7. Friedmann R., Maclowry J. 1973; Computer identification of bacteria on the basis of their antibiotic susceptibility patterns. Applied Microbiology 26:314–317
    [Google Scholar]
  8. Gilardi G.L. 1978; Identification of Pseudomonas and related bacteria. In Glucose Nonfermenting Gram-negative Bacteria in Clinical Microbiology pp. 15–44 Gilardi G.L. Edited by West Palm Beach: CRC Press;
    [Google Scholar]
  9. Gutteridge C.S., Puckey D.J. 1982; Discrimination of some Gram-negative bacteria by direct probe mass-spectrometry. Journal of General Microbiology 128:721–730
    [Google Scholar]
  10. Holdemann L.U., Cato E.P., Moore W.E.C. 1977 Anaerobic Laboratory Manual, 4th edn.. Blacksburg, Virginia: Virginia Polytechnic Institute and State University;
    [Google Scholar]
  11. Hugh R. 1978; Classical methods for isolation and identification of glucose nonfermenting Gram-negative rods. In Glucose Nonfermenting Gram-negative Bacteria in Clinical Microbiology pp. 1–14
    [Google Scholar]
  12. Jennrich R., Sampson P. 1981; Stepwise discriminant analysis. In Biomedical Computer Programs (BMDP) pp. 711–733 Los Angeles: University of California Press;
    [Google Scholar]
  13. Kshirsagar A.M. 1972 Multivariate Analysis. New York: Marcel Dekker;
    [Google Scholar]
  14. Lachenbuch P.A., Mickey M.R. 1968; Estimation of error rates in discriminant analysis. Technometrics 10:1–11
    [Google Scholar]
  15. Lennette E.H., Spaulding T.H., Truant J.P. 1980 Manual of Clinical Microbiology, 3rd edn.. Washington, DC:: American Society for Microbiology.;
    [Google Scholar]
  16. MacFie H.J.H., Gutteridge C.S., Norris J.R. 1978; Use of canonical variate analysis in the differentiation of bacteria by pyrolysis gas-liquid chromatography. Journal of General Microbiology 104:67–74
    [Google Scholar]
  17. O’Donnell A.G., MacFie H.J., Norris J.R. 1980; An investigation of the relationship between Bacillus cereus, Bacillus thuringiensis and Bacillus mycoides using pyrolysis gas-liquid chromatography. Journal of General Microbiology 119:189–194
    [Google Scholar]
  18. Palleroni N.J., Doudoroff M. 1979; Some properties and taxonomic subdivisions of the genus Pseudomonas. Annual Review of Phytopathology 10:73–100
    [Google Scholar]
  19. Peladan F., Monteil H. 1984a; Gas-liquid chromatographic study of the volatile fatty acids produced in culture media by 14 Pseudomonas species. Annales de microbiologie 135A:399–410
    [Google Scholar]
  20. Peladan F., Monteil H. 1984b; Taxonomic interest of the characterization of Pseudomonas by the analysis of volatile fatty acids produced in culture media. Annales de microbiologie 135A:411–426
    [Google Scholar]
  21. Rao C.R. 1965italic Linear Statistical Inference and its Applications. New York, London , Sydney: John Wiley;
    [Google Scholar]
  22. Rhodes M.E. 1959; The characterization of Pseudomonas fluorescens. Journal of General Microbiology 21:221–263
    [Google Scholar]
  23. Romeder J.M. 1973 Méthodes et Programmes d’AnalyseDiscriminante. Paris: Dunod;
    [Google Scholar]
  24. Sielaff B.H., Matsen J.M., Mackie J.E. 1979; Novel approach to bacterial identification that uses the Autobac system. Journal of Clinical Microbiology 15:1103–1110
    [Google Scholar]
  25. Veron M. 1975; Nutrition and taxonomy of Entero- bacteriaceae and related bacteria.I.Technical procedure for auxanograms. Annales de microbiologie 126A:267–274
    [Google Scholar]
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