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An integrated approach to Phoma systematics.

E Montel1, P D Bridge, B C Sutton

  • 1Departamento de Microbiología, Universidad de Salamanca, Spain.

Mycopathologia
|August 1, 1991
PubMed
Summary
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This study classified 55 Phoma strains using physiological and morphological data, revealing seven distinct clusters. A new combination, Phoma sambuci-nigrae, is proposed based on these findings.

Area of Science:

  • Mycology
  • Plant Pathology
  • Taxonomy

Background:

  • Accurate identification of fungal species is crucial for understanding plant diseases.
  • Phoma species are common plant pathogens with diverse host ranges.
  • Previous classifications of Phoma taxa may require revision based on comprehensive data.

Purpose of the Study:

  • To taxonomically classify 55 strains belonging to 17 Phoma taxa and one Pyrenochaeta.
  • To evaluate the utility of physiological, morphological, and secondary metabolite data in fungal classification.
  • To propose a new taxonomic combination for a specific Phoma strain.

Main Methods:

  • Recording of physiological and morphological characters from 55 fungal strains.
  • Numerical analysis and Unweighted Pair Group Method with Arithmetic Mean (UPGMA) dendrogram construction.

Related Experiment Videos

  • Comparison of numerical analysis results with Thin-Layer Chromatography (TLC) profiles of secondary metabolites.

    • Main Results:

    • Seven distinct clusters were identified through numerical analysis of character sets.
    • Dendrograms based on full and partial character sets supported the recovered clusters.
    • The grouping of strains within each cluster was analyzed and discussed.
    • A new combination, Phoma sambuci-nigrae (Sacc.) Monte, Bridge & Sutton, is proposed.

    Conclusions:

    • Physiological and morphological data, combined with secondary metabolite profiles, are effective for Phoma classification.
    • The study provides a refined classification of several Phoma taxa.
    • The proposed new combination Phoma sambuci-nigrae requires further validation.