Summary
A factor analytical approach, along with other statistical methods, was used to effect an orderly or scientific classification of 130 strains of yeasts designated as the genus Torulopsis, These strains were studied by means of 64 morphological, physiological and serological characteristics. From the correlations among these variables, factor analysis produced 12-dimensional profiles for the strains, which were then grouped according to these profiles. Initially 37 groups resulted, but these were classified again into 9 second-order groups or clusters. Discriminant analysis showed that the separations of the 9 clusters were statistically significant. Finally, the classifications of the strains were compared with the grouping into 9 phenons of 121 of these strains, reported in a previous paper (Kocková-Kratochvílová, 1973). These results corroborated the previous findings of agreement with published results of GC content in DNA.
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Laboratory measurements obtained at Institute of Chemistry of the Slovak Academy of Sciences, Bratislava, CSSR. Computer work at Educational Testing Service, Princeton, N. J., U.S.A.
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Harman, H.H., Kocková-Kratochvílová, A. Use of factor analysis to classify strains of yeasts: Application to genus torulopsis berlese. J. Math. Biology 3, 27–52 (1976). https://doi.org/10.1007/BF00307857
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DOI: https://doi.org/10.1007/BF00307857