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Related Experiment Videos

Numerical taxonomy of staphylococci.

M Goodfellow, G Alderson, M R Nahaie

    Zentralblatt Fur Bakteriologie, Mikrobiologie, Und Hygiene. Series A, Medical Microbiology, Infectious Diseases, Virology, Parasitology
    |November 1, 1983
    PubMed
    Summary

    This study used numerical phenetics to classify over 200 staphylococci strains, identifying eighteen distinct clusters. Findings question the reliability of some tests for identifying coagulase-negative staphylococci.

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    Infection and immunity·2002

    Area of Science:

    • Microbiology
    • Bacteriology
    • Systematic Bacteriology

    Background:

    • Staphylococci are significant bacteria found in human and animal sources.
    • Accurate classification of Staphylococcus species is crucial for clinical and research purposes.
    • Existing identification methods for coagulase-negative staphylococci may have limitations.

    Purpose of the Study:

    • To perform a numerical phenetic analysis of a large collection of staphylococci strains.
    • To compare the phenetic relationships between staphylococci from various sources and established species.
    • To evaluate the reliability of standard identification tests for coagulase-negative staphylococci.

    Main Methods:

    • A numerical phenetic survey was conducted using 115 unit characters for over 200 staphylococci strains.

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  • Data analysis involved the Jaccard coefficient and the unweighted pair group method with averages (UPGMA) algorithm.
  • Test error was estimated at 3.49% and found to have minimal impact on cluster composition.
  • Main Results:

    • Staphylococci were assigned to eighteen clusters of four or more strains and three single-member clusters.
    • Most clusters were distinct and homogeneous, with two clusters further divided into subclusters.
    • Several clusters were identified as established taxa, including Staphylococcus aureus, S. epidermidis, and S. saprophyticus, while others may represent new variation centers.

    Conclusions:

    • Numerical phenetics provides a robust framework for classifying staphylococci, revealing distinct clusters and potential new taxa.
    • The study identified eighteen phenetic clusters, aligning many with known Staphylococcus species.
    • Results raise concerns about the accuracy and reliability of certain diagnostic tests used for coagulase-negative staphylococci identification.