Summary: The character state data for clusters defined at the 83% simple matching coefficient (SSM) similarity level in a previous phenetic classification were used to construct a probabilistic identification matrix for Streptoverticillium species. The 24 phena included consisted of 10 clusters containing from 2 to 17 strains and 14 single-member clusters. Characters most diagnostic for the clusters were selected from the 185 used in the classification, using previously developed computer programs for determination of character separation indices (CHARSEP) and selection of group diagnostic properties (DIACHAR). The resulting matrix consisted of 41 characters x 24 phena, and identification scores, provided by a program for the identification of unknowns against an identification matrix (MATIDEN), were used for its evaluation. Cluster overlap, calculated by a program for determination of overlap between groups in a matrix (OVERMAT), was generally very small, and the best identification scores possible for most typical examples of each group (MOSTTYP program) were very satisfactory. Input of test data for randomly selected cluster representatives resulted in correct identifications with good scores for the three coefficients provided by the MATIDEN program.
BaldacciE.,
LocciR.1974; Genus II. StreptoverticilliumBaldacci 1958, 15 emend, mut. char. Baldacci, Farina and Locci 1966, 168. In Bergey’s Manual of Determinative Bacteriology 8th edn, pp 829–842 Edited by
BuchananR. E.,
GibbonsN. E.
Baltimore: Williams & Wilkins;
BaldacciE.,
FarinaG.,
LocciR.1966; Emendation of the genus StreptoverticilliumBaldacci (1958) and revision of some species. Giornale di microbiologia 14:153–171
CollinsM. D.,
PirouzT.,
GoodfellowM.,
MinnikinD. E.1977; Distribution of menaquinones in actinomycetes and corynebacteria. Journal of General Microbiology 100:221–230
FarinaG.,
LocciR.1966; Contribution to the study of Streptoverticillium. Description of a new species (Streptoverticillium baldacci sp. nov.) and examination of previously illustrated species. Giornale di microbiologia 14:33–52
GordonR. E.1968; The taxonomy of soil bacteria. In The Ecology of Soil Bacteria pp 293–321 Edited by
GrayT. R. G.,
ParkinsonD.
Liverpool: Liverpool University Press;
KroppenstedtR. M.,
Korn-WendischF.,
FowlerV. J.,
StackebrandtE.1981; Biochemical and molecular genetic evidence for a transfer of Actinoplanes armeniacus into the family Streptomyceteae
. Zentralblatt für Bakteriologie, Parasitenkunde, Infektionskrankheiten und Hygiene (Abteilung I, Originate C) 2:254–262
KuryolwiczW.,
PasziewiczA.,
WoźnickaW.,
KurzatowskiW.,
SzulgaT.1975; Classification of Streptomyces by different numerical methods. Postepy higieny i medycyny doswiadczalnej 29:281–355
KutznerH. J.1976Methoden zur Untersuchung von Streptomycen und einigen anderen Actinomyceten Darmstadt: Teilsammlung Darmstadt am Institut für Mikrobiologie der Technischen Hochschule.;
LechevalierM. P.,
LechevalierH. A.1970; Chemical composition as a criterion in the classification of aerobic actinomycetes. International Journal of Systematic Bacteriology 20:435–443
LechevalierM. P.,
SternA. E.,
LechevalierH. A.1981; Phospholipids in the taxonomy of actinomycetes. Zentralblatt für Bakteriologie, Mikrobiologie und Hygiene (Abteilung I, Supplement 11)111–116
LocciR.,
PetroliniB. B.1970; Morphology and development of Streptoverticillium species as examined by scanning electron microscopy. Giornale di microbiologia 18:69–76
LocciR.,
RogersJ.,
SardiP.,
SchofieldG. M.1981; A preliminary numerical study on named species of the genus Streptoverticillium
. Annali di Microbiologia 31:115–121
MinnikinD. E.,
O’DonnellA. G.1984; Actinomycete envelope lipid and peptidoglycan composition. In The Biology of the Actinomycetes pp 335–388 Edited by
GoodfellowM.,
MordarskiM.,
WilliamsS. T.
London: Academic Press;
PrauserH.1976; Host–phage relationships in nocardioform organisms. In The Biology of the Nocardiae pp 266–284 Edited by
GoodfellowM.,
BrownellG. H.,
SerranoJ. A.
London: Academic Press;
PridhamT. G.,
TresnerH. D.1974; Streptomyces Waksman and Henrici 1943. In Bergey’s Manual of Determinative Bacteriology 8th edn, pp 747–829 Edited by
BuchananR. E.,
GibbonsN. E.
Baltimore: Williams & Wilkins;
SierraG.1957; A simple method for the detection of lipolytic activity of microorganisms and some observations on the influence of the contact between cells and fatty substrates. Antonie van Leeuwenhoek 23:15–22
SneathP. H. A.1979a; Basic program for identification of an unknown with presence–absence data against an identification matrix of percent positive characters. Computers and Geosciences 5:195–213
SneathP. H. A.1979b; Basic program for character separation indices from an identification matrix of percent positive characters. Computers and Geosciences 5:349–357
SneathP. H. A.1980a; Basic program for the most diagnostic properties of groups from an identification matrix of percent positive characters. Computers and Geosciences 6:21–26
SneathP. H. A.1980b; Basic program for determining the best identification scores possible for the most typical example when compared with an identification matrix of percent positive characters. Computers and Geosciences 6:27–34
SneathP. H. A.1980c; Basic program for determining overlap between groups in an identification matrix of percent positive characters. Computers and Geosciences 6:267–278
VickersJ. C.,
WilliamsS. T.,
RossG. W.1984; A taxonomic approach to selective isolation of streptomycetes from soil. In Biological, Biochemical and Biomedical Aspects of Actinomycetes pp 553–561 Edited by
Ortiz-OrtizL.,
BojalilL. F.,
YakoleffV.
Orlando: Academic Press;
WellingtonE. M. H.,
WilliamsS. T.1981; Host ranges of phage isolated to Streptomyces and other genera. Zentralblatt für Bakteriologie, Mikrobiologie und Hygiene, (Abteilung I, Supplement 11)93–98
WillcoxW. R.,
LapageS. P.,
BascombS.,
CurtisM. A.1973; Identification of bacteria by computer: theory and programming. Journal of General Microbiology 77:317–330
WilliamsS. T.,
GoodfellowM.,
AldersonG.,
WellingtonE. M. H.,
SneathP. H. A.,
SackinM. J.1983a; Numerical classification of Streptomyces and related genera. Journal of General Microbiology 129:1743–1813
WilliamsS. T.,
GoodfellowM.,
WellingtonE. M. H.,
VickersJ. C.,
AldersonG.,
SneathP. H. A.,
SackinM. J.,
MortimerA. M.1983b; A probability matrix for identification of some streptomycetes. Journal of General Microbiology 129:1815–1830