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Application of high-resolution melting analysis for differentiation of spoilage yeasts

An Erratum to this article was published on 07 December 2017

This article has been updated

Abstract

A new method based on high resolution melting (HRM) analysis was developed for the differentiation and classification of the yeast species that cause food spoilage. A total 134 strains belonging to 21 different yeast species were examined to evaluate the discriminative power of HRM analysis. Two different highly variable DNA regions on the 26 rRNA gene were targeted to produce the HRM profiles of each strain. HRM-based grouping was compared and confirmed by (GTG)5 rep-PCR fingerprinting analysis. All of the yeast species belonging to the genera Pichia, Candida, Kazachstania, Kluyveromyces, Debaryomyces, Dekkera, Saccharomyces, Torulaspora, Ustilago, and Yarrowia, which were produced as species-specific HRM profiles, allowed discrimination at species and/or strain level. The HRM analysis of both target regions provided successful discrimination that correlated with rep-PCR fingerprinting analysis. Consequently, the HRM analysis has the potential for use in the rapid and accurate classification and typing of yeast species isolated from different foods to determine their sources and routes as well as to prevent contamination.

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  • 07 December 2017

    In the article by Erdem et al. published in Journal of Microbiology 2016; 54, 618–625, the figure 1 should be corrected as below.

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Correspondence to Zülal Kesmen.

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An erratum to this article is available at https://doi.org/10.1007/s12275-017-0671-3.

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Erdem, M., Kesmen, Z., Özbekar, E. et al. Application of high-resolution melting analysis for differentiation of spoilage yeasts. J Microbiol. 54, 618–625 (2016). https://doi.org/10.1007/s12275-016-6017-8

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  • DOI: https://doi.org/10.1007/s12275-016-6017-8

Keywords

  • High-resolution melting analysis
  • yeast species
  • melting curve
  • 26S rRNA gene