title: Comparison of API 20NE and Biolog GN identification systems assessed by techniques of multivariate analyses.
abstract: The increasing use of commercial multitest systems for identification of environmental bacteria creates the problem of how to compare the identification results obtained from different systems. The limited use of species designations in such comparisons is caused by low usage of environmental bacteria in the development of commercial identification schemes. Two multivariate statistical methods, the Mantel's test and the co-inertia analysis, were applied to analyze data derived from the Biolog GN and the API 20NE systems of identification for 50 environmental bacterial strains. We found these two methods to be useful for revealing the relationship between the two sets of numerical taxonomic traits. Both of these methods showed that the distances according to the Biolog GN results between the studied strains were related to those derived from the API 20NE results, despite the differences in the test sets of the two systems. In addition, the co-inertia analysis allowed us to visualise the relationships between classifications of strains derived from the two identification systems and, simultaneously, to estimate the contribution of particular tests to the differentiation of bacterial strains.
authors.affiliation: Institute of Molecular and Cell Biology, University of Tartu, Estonia. jtruu@ebc.ee
authors.forename: J
authors.initials: J
authors.lastname: Truu
authors.forename: E
authors.initials: E
authors.lastname: Talpsep
authors.forename: E
authors.initials: E
authors.lastname: Heinaru
authors.forename: U
authors.initials: U
authors.lastname: Stottmeister
authors.forename: H
authors.initials: H
authors.lastname: Wand
authors.forename: A
authors.initials: A
authors.lastname: Heinaru
mesh_terms: D015373:Bacterial Typing Techniques; D001673:Biodegradation, Environmental; D006090:Gram-Negative Bacteria / Q000145:classification* / Q000302:isolation & purification*; D015999:Multivariate Analysis; D019800:Phenol / Q000378:metabolism; D014871:Water Microbiology
chemical_list: D019800:Phenol