Literature DB >> 21276635

Fluorescence in situ hybridization for detection of classical propionibacteria with specific 16S rRNA-targeted probes and its application to enumeration in Gruyère cheese.

Jaime D Babot1, Maximiliano Hidalgo, Eloy Argañaraz-Martínez, María C Apella, Adriana Perez Chaia.   

Abstract

The classical or dairy propionibacteria have well-documented industrial applications and have been proposed for probiotic applications. Given their industrial importance it is necessary to employ fast and reliable techniques to monitor the growth during products elaboration, industrial fermentations or the intestinal transit. Therefore, the aim of this investigation was to design oligonucleotide probes targeting the 16S rRNA of dairy propionibacteria and optimise the fluorescence in situ hybridization (FISH) protocol to detect these bacteria. Two specific probes were in silico designed to detect Propionibacterium freudenreichii and P. jensenii, named Pfr435 and Pj446 respectively. The FISH protocol was optimised for the hybridisation of propionibacteria cells with the universal probe Eub338 and the designed probes. These probes were assayed in situ for their specificity to hybridise species of propionibacteria by observation using fluorescence microscopy and results were compared with the probe Pap446 previously designed for P. acidipropionici. Probes Pap446, Pfr435 and Pj446 were also evaluated by fluorescence spectrophotometry to assess the influence of cells physiological state during growth in batch culture in the fluorescence intensity. The maximum fluorescence intensity was observed at the onset of the stationary phase of growth and was then reduced. However, changes on the cells permeability did not reduce the efficiency of 16S rRNA hybridisation with the fluorescence-labelled probes. Propionibacteria counts obtained by FISH and plate count methods were compared in a commercial Gruyère cheese. The results showed that this method can be used as a rapid technique for the enumeration of these bacteria in cheese samples.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21276635     DOI: 10.1016/j.ijfoodmicro.2010.12.024

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  4 in total

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Review 3.  Omics Approaches to Assess Flavor Development in Cheese.

Authors:  Rania Anastasiou; Maria Kazou; Marina Georgalaki; Anastasios Aktypis; Georgia Zoumpopoulou; Effie Tsakalidou
Journal:  Foods       Date:  2022-01-11

Review 4.  Potential of Flow Cytometric Approaches for Rapid Microbial Detection and Characterization in the Food Industry-A Review.

Authors:  Elena Zand; Antje Froehling; Christoph Schoenher; Marija Zunabovic-Pichler; Oliver Schlueter; Henry Jaeger
Journal:  Foods       Date:  2021-12-15
  4 in total

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