1887

Abstract

Test errors are much greater than usually thought and their investigation requires good statistical design. Analysis of variance of blind randomized trials is especially valuable. For representative selections of tests currently used in bacterial taxonomy and identification, the discrepancies within one laboratory are usually less than 4%; with care they can be reduced to 2% or less. Between-laboratory variation is much greater; discrepancies of about 8% are usual under routine conditions, and even 15% is common. The effect of errors on identification is due to (a) error in the reference descriptions of taxa, (b) error in the description of the unknown strain to be identified. Simultaneous polythetic methods (e.g., using matching coefficients or analogues of these) are robust to both types of error, and misidentifications are usually minor in degree, i.e., the unknown is allocated to a taxon close to the correct one. The rate of failure is expected to be greatest when the reference descriptions are based on the tightest clusters. Sequential identification methods are especially sensitive to errors because the unknown may then be allocated to a taxon far from the correct one. Monothetic sequential keys are sensitive to errors of type (b), whereas type (a) error is usually screened out during construction of the key.

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References

  1. Bascomb S., Lapage S. P., Curtis M. A., Willcox W. R. 1973; Identification of bacteria by computer: identification of reference strains. J. Gen Microbiol. 77:291–315
    [Google Scholar]
  2. Ber D. 1973; Laboratory identification of clini- cally important aérobic actinomycètes. Appl. Microbiol. 25:665–681
    [Google Scholar]
  3. Bergan T., Lystad A. 1972; Reproducibility in bactériophage sensitivity pattern of Pseudomonas aeruginosa. Acta Pathol. Microbiol. Scand. B 80:345–350
    [Google Scholar]
  4. Blazevic D. J., Koepcke M. H., Matsen J. M. 1972; Quality control testing with the disk antibiotic susceptibility test of Bauer-Kirby-Sherris- Turck.. Amer. J. Clin. Pathol. 57:592–597
    [Google Scholar]
  5. Bogdanescu V., Racotta R. 1967; Identification of mycobacteria by overall similarity analysis. J. Gen. Microbiol. 48:111–126
    [Google Scholar]
  6. Campbell I. 1973; Computer identification of yeasts of the genus Saccharomyces. J. Gen. Microbiol. 77:127–135
    [Google Scholar]
  7. Carmichael J. W., Sekhon A. S., Sigler L. 1973; Classification of some dermatophytes by pyrolysis-gas-liquid chromatography.. Can. J. Microbiol. 19:403–407
    [Google Scholar]
  8. De Ley J. 1971 Hybridization of DNA. p 311–329 In Norris J. R., Ribbons D. W. (ed.) Methods in microbiology vol 5A Academie Press, Inc.; London:
    [Google Scholar]
  9. Dybowski W., Franklin D. A. 1968; Condi- tional probability and the identification of bacteria: a pilot study. J. Gen. Microbiol. 54:215–229
    [Google Scholar]
  10. Ericsson H. M., Sherris J. C. 1971; Antibiotic sensitivity testing.. Report of an International Collaborative study. Acta Pathol. Microbiol. Scand. B 217: (Suppl.) l–90
    [Google Scholar]
  11. Good I. J. 1950 Probability and the weighing of evidence. Charles Griffin &Co.; London:
    [Google Scholar]
  12. Goodfellow M. 1971; Numerical taxonomy of some nocardioform bacteria. J. Gen. Microbiol. 69:33–80
    [Google Scholar]
  13. Gyllenberg H. G. 1965; A model for computer identification of microorganisms. J. Gen. Microbiol. 39:401–405
    [Google Scholar]
  14. Hutchinson M., Johnstone K. I., White D. 1965; The taxonomy of certain thiobacilli.. J. Gen. Microbiol. 41:357–366
    [Google Scholar]
  15. Johnson R., Sneath P. H. A. 1973; Taxonomy of Bordetella and related organisais of the families Achromobacteraceae, Brucellaceae, and Neisseria- ceae. Int. J. Syst. Bacteriol. 23:381–404
    [Google Scholar]
  16. Lapage S. P., Bascomb S., Willcox W. R., Curtis M. A. 1970 Computer identification of bacteria. p 1–22 In Baillie A., Gilbert R. J. (ed.) Automation, mechanization and data han- dling in microbiology. Academie Press, Inc.; London:
    [Google Scholar]
  17. Lapage S. P., Bascomb S., Willcox W. R., Curtis M. A. 1973; Identification of bacteria by computer: general aspects and perspectives. J. Gen. Microbiol. 77:273–290
    [Google Scholar]
  18. Nei M. 1972; Genetic distance between populations. Amer. Natur. 106:283–292
    [Google Scholar]
  19. Redfearn M. S., Palleroni N. J., Stanier R. Y. 1966; A comparative study of Pseudomonas pseu- domallei and Bacillus mallei.. J. Gen. Microbiol. 43:293–313
    [Google Scholar]
  20. Rhoden D. L., Tomfohrde K. M., Smith P. B., Balows A. 1973; Auxotab—a device for iden- tifying enteric bacteria. Appl. Microbiol. 25:284–286
    [Google Scholar]
  21. Rypka E. W., Babb R. 1970; Automatic construction and use of an identification scheme. Med. Res. Engineering 9:29–19
    [Google Scholar]
  22. Rypka E. W., Clapper W. E., Bowen I. G., Babb R. 1967; A model for the identification of bacteria. J. Gen. Microbiol. 46:407–424
    [Google Scholar]
  23. Sebestyen G. S. 1962 Decision-making processes in pattern récognition. Macmillan Co.; New York:
    [Google Scholar]
  24. Sekhon A. S., Carmichael J. W. 1973; Column vaiiation affecting a pyrolysis-gas-liquid chromatographie study of strain variation in two species of Nannizzia. Can. J. Microbiol. 19:409–411
    [Google Scholar]
  25. Sneath P. H. A. 1957; The application of computers to taxonomy. J. Gen. Microbiol. 17:201–226
    [Google Scholar]
  26. Sneath P. H. A. 1968; Vigour and pattern in taxonomy. J. Gen. Microbiol. 54:1–11
    [Google Scholar]
  27. Sneath P. H. A. 1969; Computers in bacteriology. J. Clin. Pathol. 22(suppl.) 3:87–92
    [Google Scholar]
  28. Sneath P. H. A. 1972; Computer taxonomy. p. 29–98 In Norris J. R., Ribbons D. W. (ed.) Methods in microbiology vol. 7A: Academie Press, Inc.; London:
    [Google Scholar]
  29. Sneath P. H. A., Johnson R. 1972; The influence on numerical taxonomie similarities of errors in microbiological tests. J. Gen. Microbiol. 72:377–392
    [Google Scholar]
  30. Sneath P. H. A., Johnson R. 1973; Numerical taxonomy of Haemophilus and related bacteria. Int. J. Syst. Bacteriol. 23:405–418
    [Google Scholar]
  31. Sneath P. H. A., Sokal R. R. 1973; Numerical taxonomy: the principles and practice of numerical classification. W. H. Freeman &Co.; San Francisco:
    [Google Scholar]
  32. Snell J. J. S., Lapage S. P. 1973; Carbon source utilization tests as an acid to the classification of nonfermenting bacteria. J. Gen. Microbiol. 74:9–20
    [Google Scholar]
  33. Stanier R. Y., Palleroni N. J., Doudoroff M. 1966; The aérobic pseudomonads : a taxonomie study. J. Gen. Microbiol. 43:159–271
    [Google Scholar]
  34. Stevens M. 1969; Development and use of multi- inoculation test methods for a taxonomie study. J. Med. Lab. Technol. 26:253–263
    [Google Scholar]
  35. Stokes E. J. 1968; Quality control in diagnostic bacteriology. Proc. Roy. Soc. Med. 61:457–463
    [Google Scholar]
  36. Taylor G. R., Guthrie R. K., Shirling E. B. 1970; Serological characteristics of Streptomyces species using cell wall immunizing antigens. Can. J. Microbiol. 16:107–115
    [Google Scholar]
  37. Tomfohrde K. M., Rhoden D. L., Smith P. B., Balows A. 1973; Evaluation of the redesigned Enterotube—a system for the identification of Enterobacteriaceae. Appl. Microbiol. 25:301–304
    [Google Scholar]
  38. Tsukamura M. 1971; Some considérations on classification of mycobacteria. Définition of bacterial species by introduction of the concept of “hypothetical médian or mean organism.” Jap. J. Tuberc. 17:18–30
    [Google Scholar]
  39. Wayne L. G. 1967; Sélection of characters for an Andansonian analysis of mycobacterial taxonomy. J. Bacteriol. 93:1382–1391
    [Google Scholar]
  40. Wayne L. G., Dietz T. M., Gernez-Rieux C., Jenkins P. A., Kâppler W., Kubica G. P., Kwapinski J. B. G., Meissner G., Pattyn S. R., Runyon E. H., Schrôder K. H., Silcox V. A., Tacquet A., Tsukamura M., Wolinsky E. 1971; A co-oper- ative numerical analysis of scotochromogenic slowly growing mycobacteria. J. Gen. Microbiol. 66:255–271
    [Google Scholar]
  41. Williams R. E. O., Rippon J. E. 1952; Bactériophage typing of Staphylococcus aureus. J. Hyg. 50:320–353
    [Google Scholar]
  42. Willcox W. R., Lapage S. P., Bascomb S., Curtis M. A. 1973; Identification of bacteria by computer: theory and programming. J. Gen. Microbiol. 77:317–330
    [Google Scholar]
  43. Yourassowsky E., Hansen W., Labbe M., Van Molle J. 1965; Problèmes taxonomiques. Orientation mechanographique du diagnostic des éspèces microbiennes. Acta Clin. Belg. 20:279–285
    [Google Scholar]
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