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Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system

BACKGROUND: A commercial biotyping system (Taxa Profile™, Merlin Diagnostika) testing the metabolization of various substrates by bacteria was used to determine if a set of phenotypic features will allow the identification of members of the genus Brucella and their differentiation into species and b...

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Autores principales: Al Dahouk, Sascha, Scholz, Holger C, Tomaso, Herbert, Bahn, Peter, Göllner, Cornelia, Karges, Wolfram, Appel, Bernd, Hensel, Andreas, Neubauer, Heinrich, Nöckler, Karsten
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2984481/
https://www.ncbi.nlm.nih.gov/pubmed/20969797
http://dx.doi.org/10.1186/1471-2180-10-269
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author Al Dahouk, Sascha
Scholz, Holger C
Tomaso, Herbert
Bahn, Peter
Göllner, Cornelia
Karges, Wolfram
Appel, Bernd
Hensel, Andreas
Neubauer, Heinrich
Nöckler, Karsten
author_facet Al Dahouk, Sascha
Scholz, Holger C
Tomaso, Herbert
Bahn, Peter
Göllner, Cornelia
Karges, Wolfram
Appel, Bernd
Hensel, Andreas
Neubauer, Heinrich
Nöckler, Karsten
author_sort Al Dahouk, Sascha
collection PubMed
description BACKGROUND: A commercial biotyping system (Taxa Profile™, Merlin Diagnostika) testing the metabolization of various substrates by bacteria was used to determine if a set of phenotypic features will allow the identification of members of the genus Brucella and their differentiation into species and biovars. RESULTS: A total of 191 different amines, amides, amino acids, other organic acids and heterocyclic and aromatic substrates (Taxa Profile™ A), 191 different mono-, di-, tri- and polysaccharides and sugar derivates (Taxa Profile™ C) and 95 amino peptidase- and protease-reactions, 76 glycosidase-, phosphatase- and other esterase-reactions, and 17 classic reactions (Taxa Profile™ E) were tested with the 23 reference strains representing the currently known species and biovars of Brucella and a collection of 60 field isolates. Based on specific and stable reactions a 96-well "Brucella identification and typing" plate (Micronaut™) was designed and re-tested in 113 Brucella isolates and a couple of closely related bacteria. Brucella species and biovars revealed characteristic metabolic profiles and each strain showed an individual pattern. Due to their typical metabolic profiles a differentiation of Brucella isolates to the species level could be achieved. The separation of B. canis from B. suis bv 3, however, failed. At the biovar level, B. abortus bv 4, 5, 7 and B. suis bv 1-5 could be discriminated with a specificity of 100%. B. melitensis isolates clustered in a very homogenous group and could not be resolved according to their assigned biovars. CONCLUSIONS: The comprehensive testing of metabolic activity allows cluster analysis within the genus Brucella. The biotyping system developed for the identification of Brucella and differentiation of its species and biovars may replace or at least complement time-consuming tube testing especially in case of atypical strains. An easy to handle identification software facilitates the applicability of the Micronaut™ system for microbiology laboratories.
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spelling pubmed-29844812010-11-19 Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system Al Dahouk, Sascha Scholz, Holger C Tomaso, Herbert Bahn, Peter Göllner, Cornelia Karges, Wolfram Appel, Bernd Hensel, Andreas Neubauer, Heinrich Nöckler, Karsten BMC Microbiol Research Article BACKGROUND: A commercial biotyping system (Taxa Profile™, Merlin Diagnostika) testing the metabolization of various substrates by bacteria was used to determine if a set of phenotypic features will allow the identification of members of the genus Brucella and their differentiation into species and biovars. RESULTS: A total of 191 different amines, amides, amino acids, other organic acids and heterocyclic and aromatic substrates (Taxa Profile™ A), 191 different mono-, di-, tri- and polysaccharides and sugar derivates (Taxa Profile™ C) and 95 amino peptidase- and protease-reactions, 76 glycosidase-, phosphatase- and other esterase-reactions, and 17 classic reactions (Taxa Profile™ E) were tested with the 23 reference strains representing the currently known species and biovars of Brucella and a collection of 60 field isolates. Based on specific and stable reactions a 96-well "Brucella identification and typing" plate (Micronaut™) was designed and re-tested in 113 Brucella isolates and a couple of closely related bacteria. Brucella species and biovars revealed characteristic metabolic profiles and each strain showed an individual pattern. Due to their typical metabolic profiles a differentiation of Brucella isolates to the species level could be achieved. The separation of B. canis from B. suis bv 3, however, failed. At the biovar level, B. abortus bv 4, 5, 7 and B. suis bv 1-5 could be discriminated with a specificity of 100%. B. melitensis isolates clustered in a very homogenous group and could not be resolved according to their assigned biovars. CONCLUSIONS: The comprehensive testing of metabolic activity allows cluster analysis within the genus Brucella. The biotyping system developed for the identification of Brucella and differentiation of its species and biovars may replace or at least complement time-consuming tube testing especially in case of atypical strains. An easy to handle identification software facilitates the applicability of the Micronaut™ system for microbiology laboratories. BioMed Central 2010-10-23 /pmc/articles/PMC2984481/ /pubmed/20969797 http://dx.doi.org/10.1186/1471-2180-10-269 Text en Copyright ©2010 Al Dahouk et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Al Dahouk, Sascha
Scholz, Holger C
Tomaso, Herbert
Bahn, Peter
Göllner, Cornelia
Karges, Wolfram
Appel, Bernd
Hensel, Andreas
Neubauer, Heinrich
Nöckler, Karsten
Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system
title Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system
title_full Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system
title_fullStr Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system
title_full_unstemmed Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system
title_short Differential phenotyping of Brucella species using a newly developed semi-automated metabolic system
title_sort differential phenotyping of brucella species using a newly developed semi-automated metabolic system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2984481/
https://www.ncbi.nlm.nih.gov/pubmed/20969797
http://dx.doi.org/10.1186/1471-2180-10-269
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