Japanese Journal of Food Microbiology
Online ISSN : 1882-5982
Print ISSN : 1340-8267
ISSN-L : 1340-8267
Originals
Comparative Evaluation of the DNA Sequence Analysis and Commercial Identification System (API 20C AUX) Methods for Food-Borne Yeasts
Takashi ChibaYumi TakahashiSatomi UeharaKenji Sadamasu
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2016 Volume 33 Issue 2 Pages 69-75

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Abstract

The identification of 84 strains of NBRC strains and yeasts isolated from foods and other products were examined by DNA sequence analysis and the results were compared with commercially available identification Kit (API 20C AUX). In the DNA sequence analysis, all 84 yeast strains tested were possible to identify by two regions of D2 and ITS1 in the rDNA. Concordance rate from comparison of results of API 20C AUX and DNA sequence analysis were 57.1% at the species level, 82.1% at the genus level. In addition, the results of API 20C AUX and DNA sequence analysis had a tendency to agree at the species level when identification probability of API 20C AUX were more than 90%. The part of strains of Candida intermedia /C. pseudointermedia identified by DNA sequence analysis were identified as Trichosporon mucoides with more than 90% identification probability by API 20C AUX. As the results, we were able to identify the yeasts by API 20C AUX when combining the identification probabilities and rDNA sequence analysis.

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© 2016 Japanese Society of Food Microbiology
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