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Related Experiment Videos

Diversity among Streptomyces Strains Causing Potato Scab.

C Doering-Saad1, P Kämpfer, S Manulis

  • 1Department of Botany, Tel Aviv University, Tel Aviv 69978, and Department of Plant Pathology, A. R. O. Volcani Center, Bet Dagan, Israel, and Fachbereich Biologie/Chemie, Universität Osnabrück, D-4500 Osnabrück, and Fachgebiet Hygiene, Technische Universität Berlin, D-1000 Berlin 65, Germany.

Applied and Environmental Microbiology
|December 1, 1992
PubMed
Summary

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Numerical taxonomy classified Streptomyces strains into three groups, with most potato scab pathogens related to S. violaceus or S. griseus. Restriction fragment length polymorphisms (RFLPs) showed diversity but did not correlate with numerical classification.

Area of Science:

  • Microbiology
  • Bacteriology
  • Plant Pathology

Background:

  • Streptomyces species are significant plant pathogens, notably causing potato scab.
  • Accurate classification of Streptomyces is crucial for understanding pathogenicity and developing control strategies.

Purpose of the Study:

  • To physiologically characterize Streptomyces isolates, including potato scab-inducing strains.
  • To determine overall similarities using numerical taxonomy and assess the utility of Restriction Fragment Length Polymorphisms (RFLPs) for classification.

Main Methods:

  • Physiological characterization of 80 Streptomyces isolates using 329 miniaturized tests.
  • Numerical taxonomy employing the unweighted average linkage (UPGMA) algorithm and simple matching (S(sm))/Jaccard (S(j)) coefficients.

Related Experiment Videos

  • Detection of RFLPs using a DNA probe from the rRNA operon of S. coelicolor IMET 40271.

    • Main Results:

    • Numerical taxonomy defined three cluster groups (A-C) at 80.1% similarity, with 14 clusters and 24 unclustered strains at 86.5% similarity.
    • Pathogenic isolates and reference strains were predominantly assigned to S. violaceus (57%) and S. griseus (22%).
    • RFLP analysis revealed high diversity among pathogenic strains but showed no significant correlation with numerical classification results.

    Conclusions:

    • RFLP data appear to have minor importance in the classification of Streptomyces species.
    • Genes for pathogenicity determinants are likely spread among different Streptomyces species via mobilizable genetic elements.