Study aim was to assess the effectiveness of different fingerprinting methods in a set of S.cerevisiae strains in order to determine which one would be suitable for research purposes. A panel composed of 44 taxonomically certified strains of Saccharomyces cerevisiae of different origin was used to evaluate the discriminatory power of three different fingerprinting methods (Binary data matrix – BDM, triplet data matrix – TDM and numerical data matrix – NDM) based on sensitivity towards 24 killer toxins. Cell-free crude killer toxin preparations were used to assess their killing activity with the different sensitive cultures. Halo areas for each sensitive strain were measured on digitalized images and raw data were then converted into BDM, TDM and NDM. The discriminatory power of BDM, TDM and NDM was assessed by Simpson’s index () and the Hunter and Gaston’s index (D). NDM showed a significant increase of discriminatory power than the use of BDM or TDM, in terms of an effective amplification of their fingerprinting efficacy. Authors suggest that this method could find an application in control laboratories for the discrimination of yeast strains. (We suggest you to read the entire article. Original title: Discriminatory power of three different fingerprinting methods based on killer toxin sensitivity for the differentiation of Saccharomyces cerevisiae strains)
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