Multivariate Analyses of Carbohydrate Data from Lipopolysaccharides of , and Free

Abstract

The taxonomic distinction between and and the taxonomic distinction between and have been questioned. This study was done to determine whether multivariate statistical analyses of carbohydrate data from lipopolysaccharides could be used to distinguish between these closely related species. Lipopolysaccharides were extracted with phenol-water and purified. Carbohydrates were assessed by using gas chromatography and gas chromatography-mass spectrometry after methanolysis and derivatization with trifluoroacetic acid anhydride. The lipopolysaccharides from all of the species contained rhamnose, fucose, galactose, glucose, -glycero--mannoheptose, and glucosamine plus galactosamine, but in varying amounts. and also contained -glycero--mannoheptose, while did not. Sample- and variable-oriented principal-component analyses of the carbohydrate data clearly distinguished among , and . Soft independent modelling of class analogy showed that no sample in the class fell within the 95% confidence limits of the class. fell outside both classes.

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1990-10-01
2024-03-29
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