Computer‐assisted statistical analyses of enzyme and ribosomal DNA electrophoretic polymorphism in Yersinia

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Abstract
The intra‐ and inter‐species differentiation of 90 strains of Yersinia belonging to six species were studied independently by computer‐assisted statistical analysis of data from enzyme electrophoretic polymorphism and ribosomal DNA (rDNA) restriction fragment length polymorphism. Two corresondence analyses (CA) demonstrated the concordance between the bacterial classification obtained from enzymatic and genomic data. This concordance was reinforced by an algorithm of the correspondence established between the two dendrograms drawn from previous computations. Comparison of CA with similarity analysis (also called “numerical taxonomy”) indicated that the intra‐ and inter‐species differentiation obtained by the two methods are similar. The advantage of CA is that it gives a synthetic geometrical representation of the results (factorial planes), displaying both the main features of the clusters of strains (location and dispersion) and their essential character (i.e.: enzyme electrophoretic variant, rDNA fragment size).