Identification and clustering of dairy propionibacteria by RAPD-PCR and CGE-REA methods.

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  • Author(s): Rossi F;Rossi F; Torriani S; Dellaglio F
  • Source:
    Journal of applied microbiology [J Appl Microbiol] 1998 Dec; Vol. 85 (6), pp. 956-64.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Oxford University Press Country of Publication: England NLM ID: 9706280 Publication Model: Print Cited Medium: Print ISSN: 1364-5072 (Print) Linking ISSN: 13645072 NLM ISO Abbreviation: J Appl Microbiol Subsets: MEDLINE
    • Publication Information:
      Publication: 2022- : Oxford : Oxford University Press
      Original Publication: Oxford : Published for the Society for Applied Bacteriology by Blackwell Science, c1997-
    • Subject Terms:
    • Abstract:
      A total of 67 classical propionic acid bacteria (PAB) strains, 10 of which were from type culture collections and 57 from milk, typical Italian cheeses, acid whey and feed flour of different regions, were analysed by Randomly Amplified Polymorphic DNA (RAPD-PCR) and by Conventional Gel Electrophoresis Restriction Endonuclease Analysis (CGE-REA). The genotypic traits achieved using RAPD-PCR with three primers (OPL-01, OPL-02 and OPL-05) and SmaI CGE-REA patterns were compared by numerical analysis and allowed a clear distinction of four clusters corresponding to the currently described species of classical propionibacteria according to type and reference strains positions. No discrepancies exist in species recognition between the two methods; 36 isolates were identified as Propionibacterium freudenreichii, 15 as P. jensenii, four as P. acidipropionici and two as P. thoenii. Many differences, however, were observed in intraspecific clustering. Numerical comparison of RAPD-PCR profiles appeared to be a suitable method for highlighting the presence of particular phenotypic characters, while intraspecific differentiation obtained by CGE-REA analysis allowed association of strains at high similarity levels on the basis of their geographical origin.
    • Publication Date:
      Date Created: 19990101 Date Completed: 19990122 Latest Revision: 20190915
    • Publication Date:
      20240829
    • Accession Number:
      10.1111/j.1365-2672.1998.tb05259.x
    • Accession Number:
      9871315