A total of 32 Pectinatus and Megasphaera strains, isolated from spoiled beer or brewery environments and identified by conventional methods, were analysed by the automated RiboPrinter® System. One strain from each ribotype was further subjected to partial 16S rDNA sequencing to confirm the ribotyping results. The restriction enzyme EcoRl was used in ribotyping of Pectinatus strains. Eight strains, identified by conventional tests as P. cerevisiiphilus, generated five different ribotypes. The strains of three types were considered to be members of P. cerevisiiphilus, but the strains of two types were most probably members of neiv species xoithin the genus Pectinatus. The 24 strains identified by conventional tests as P. frisingenis generated nine different ribotypes. The similarity between the ribotypes was rather low, but all these strains obviously belonged to the same species. Thirteen Megasphaera cerevisiaestrains were analysed ivith three restriction enzymes EcoRl, Pstl and PvuII and four, six and three different ribotypes, respectively, were generated resulting in seven different combinations. The best discrimination among these strains was obtained with Pstl. According to these results 12 of 13 brewery strains were considered to be M. cerevisiae, but one strain most probably represented a neio species within the genus Megasphaera. During the work, 14 RiboPrint® patterns of Pectinatus, five of Megasphaera, two of Selenomonas and two of Zymophilus were created with EcoRl. In addition seven patterns of Megasphaera were created with Pstl and four with Pvull. All these idetitification patterns (genetic fingerprints) were saved at the database of VTTfor future use.
|Journal||Journal of the Institute of Brewing|
|Publication status||Published - 2001|
|MoE publication type||A1 Journal article-refereed|
Suihko, M-L., & Haikara, A. (2001). Characterization of Pectinatus and Megasphaera strains by automated ribotyping. Journal of the Institute of Brewing, 107(3), 175-184. https://doi.org/10.1002/j.2050-0416.2001.tb00089.x