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  • 1
    ISSN: 1574-6968
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: Abstract An artificial neural network was trained to distinguish between three putatively novel species of Streptomyces using normalised, scaled pyrolysis mass spectra from three representative strains of each of the taxa, each sampled in triplicate. Once trained, the artificial neural network was challenged with spectral data from the original organisms, the ‘training set’, from additional members of the putative novel taxa and from over a hundred strains representing six other actinomycete genera. All of the streptomycetes were correctly identified but many of the other actinomycetes were mis-identified. A modified network topology was developed to recognise the mass spectral patterns of the non-streptomycete strains. The resultant neural network correctly identified the streptomycetes, whereas all of the remaining actinomycetes were recognised as unknown organisms. The improved artificial neural network provides a rapid, reliable and cost-effective method of identifying members of the three target streptomycete taxa.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1572-9699
    Keywords: minimal standards ; phenetic classification ; selective isolation ; streptomycetes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Members of three putatively novel Streptomyces species, designated Streptomyces groups A, B and C, were repeatedly isolated from environmental samples taken from four hay meadow plots at Cockle Park Experimental Farm, Northumberland (UK). Representative isolates were found to have properties consistent with their classification in the genus Streptomyces and were recovered in three taxa using different phenotypic criteria, namely morphological and pigmentation properties, rapid enzyme tests, and whole-organism fatty acid, protein electrophoretic and pyrolysis mass-spectrometric data. The isolates were rapidly characterised as three taxonomic groups using pyrolysis mass spectrometry. The three taxa were also distinguished from one another and from validly described species of Streptomyces using rapid enzyme tests based on the fluorophores 7-amino-methylcoumarin and 4-methylumbelliferone, and computer-assisted identification procedures. The results indicate that selective isolation and rapid characterisation of streptomycetes using pyrolysis mass spectrometry provide a practical way of determining the phenotypic species diversity of streptomycetes in natural habitats. The experimental data also indicate that representative sampling of cultivable streptomycetes from soil can best be achieved using a multi-step extraction procedure coupled with the use of selective isolation procedures.
    Type of Medium: Electronic Resource
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