1,720,998 research outputs found
The role of divalent cations in the rigid layer of morphological and conditional mutant of Klebsiella pneumoniae Mir M7
No full textEnterococcus faecalis specific and non specific interactions with human polymorphonuclear leukocytes.
No full textArtificial neural network based identification of environmental bacteria by gas-chromatographic and electrophoretic data
No full textChemotaxonomic identification techniques are powerful tools for environmental micro-organisms, for which poor diagnostic schemes are available. Whole cellular fatty acid methyl esters (FAME) content is a stable bacterial profile, the analysis method is rapid, cheap, simple to perform and highly automated. Whole-cell protein is an even more powerful tool because it yields information at or below the species level. The description of new species and genera and subsequent continuous rearrangement provide large amounts of data, resulting in large databases. In order to set up suitable software tools to work on such large databases artificial neural network (ANN) based programs have been used to classify and identify marine bacteria at genus and species levels, starting from the fatty acid profiles and protein profiles respectively.We analysed 50 certified strains belonging to Halomonas, Marinomonas, Marinospirillum, Oceanospirillum and Pseudoalteromonas genera. Both supervised and unsupervised ANNs provide a correct classification of the marine strains analyzed. Moreover, a set of 73 marine fresh isolates were used as an example of identification using ANNs. We propose supervised and unsupervised ANNs as a reliable tool for classification of bacteria by means of their FAME and of whole-protein analyse and as a sound basis for a comprehensive artificial intelligence based system for polyphasic taxonom
Lysogenic conversion in Klebsiella pneuminiae: a system which requires active immunity regulation for expressing the conversion phenomenon.
No full textSpecific inhibition of bacterial membrane proteins by sub inhibitory doses of antibiotics.
No full textImpairment of phagocytosis by the Klebsiella pneumoniae Mannose Inhibitable Adhesin/T7 Receptor.
No full textResistenza alla fosfomicina-trimetamolo (Monuril): rapporto con la virulenza batterica e significato delle colonie “in”.
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Automated systems for identification of heterotrophic marine bacteria on the basis of their Fatty Acid composition.
No full textThe fatty acid methyl ester composition of a total of 71 marine strains representing the genera Alteromonas, Deleya, Oceanospirillum, and Vibrio was determined by gas-liquid chromatographic analysis. Over 70 different fatty acids were found. The predominant fatty acids were 16:0, 16:1 cis 9, summed-in-feature (SIF) 4 (15:0 iso 2OH and/or 16:1 trans 9) and SIF 7 (18:1 cis 11, 18:1 trans 9, and/or 18:1 trans 6) for all the strains considered, but minor quantitative variations could be used to distinguish the different genera. In addition to a conventional statistical processing method to analyze the data and draw comparison between species and genera, an approach involving neutral network-based elaboration is applied. The statistical analysis and dendrogram representation gave a comparison of the species considered, while the neural network computation provided a more accurate assignment of species to their genera. Moreover, by using neural networks, it was possible to conclude that only 22 fatty acids were important for the identification of the marine genera considered. A database of Alteromonas, Deleya, Oceanospirillum, and Vibrio fatty acid methyl ester profiles was generated and is now routinely used to identify fresh marine isolates
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