- Volume 72, Issue 2, 1972
Volume 72, Issue 2, 1972
- Short Communication
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- Taxonomy
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Numerical Study of 60 Strains of Serratia
More LessSUMMARY: A numerical study of 60 strains of Serratia showed three phena. Phenon A included 51 strains corresponding to the usual description of Serratia marcescens. Phenon B included five strains characterized by their fermentation pattern, positive malonate test and halotolerance. Phenon C included three aerogenic, cold-tolerant strains resembling pattern 2 of Fulton, Forney & Leifson (1959). One strain did not fall into any of these phena. All strains of human origin fell into phenon A. This phenon could be subdivided into two smaller phena, one composed of haemolytic and multi-resistant nosocomial strains. A hypothetical median organism for phenon A is described.
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An Acid-tolerant Iron-oxidizing Metallogenium
F. WALSH and R. MITCHELLSUMMARYA filamentous iron bacterium similar to some reported forms of Gallionella and Metallogenium has been isolated in pure culture from a number of widely distributed iron-bearing streams. This organism grows in multi-branching colonies of iron-encrusted filaments (diameter: 0·1 to 0·4 μm) without a conventional cell body. Differentiation of this bacterium from Gallionella and other forms of Metallogenium is based upon morphology, growth requirements, and ability to catalyse iron oxidation under meso-acidic conditions.
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The Influence on Numerical Taxonomic Similarities of Errors in Microbiological Tests
More LessSUMMARYA study is made of the effect of experimental errors of microbiological tests upon similarity values used in numerical taxonomy. For the coefficient S SM approximations are given for the mean and standard error of similarity values when some test results are erroneous, S’,if the true value of similarity (S), the average probability in 1, 0 data of erroneous tests results (p), and the number of tests (n) are known. Formulae are given for estimating p from an analysis of variance, and for including or excluding chosen factors that affect test reproducibility.
Whenpis over about 10% the error of similarity values becomes unacceptably large. Test error also increases the existing sampling error. It is generally better to employ many tests even if they are not as reproducible as desired, rather than to use only a few extremely reproducible tests.
Examples are given suggesting that within one laboratory pcan usually be kept below 5%, but the discrepancies between laboratories may often be much larger. It is advisable to replicate some of the strains in numerical taxonomic studies, so as to afford a check on test reproducibility.
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