• Login
    View Item 
    •   T-Stór
    • Irish Journal of Agricultural & Food Research
    • IJAFR, volume 55, no. 2, 2016
    • View Item
    •   T-Stór
    • Irish Journal of Agricultural & Food Research
    • IJAFR, volume 55, no. 2, 2016
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of T-StórCommunitiesPublication DateAuthorsTitlesSubjectsFunderThis CollectionPublication DateAuthorsTitlesSubjectsFunderProfilesView

    My Account

    LoginRegister

    Information

    Deposit AgreementLicense

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Comparison of methods for the identification and sub-typing of O157 and non-O157 Escherichia coli serotypes and their integration into a polyphasic taxonomy approach

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    ijafr-2016-0008.pdf
    Size:
    997.5Kb
    Format:
    PDF
    Download
    Author
    Prieto-Calvo, M.A.
    Omer, M.K.
    Alveseike, O.
    Lopez, M.
    Alvarez-Ordonez, Avelino
    Prieto, Maria Luz
    Keyword
    FT-IR spectroscopy
    genotyping;
    ITS sequencing;
    polyphasic taxonomy;
    VTEC
    Date
    30/12/2016
    
    Metadata
    Show full item record
    Statistics
    Display Item Statistics
    URI
    http://hdl.handle.net/11019/1146
    Citation
    Prieto-Calvo, M., Omer, M., Alvseike, O., et al. (2016). Comparison of methods for the identification and sub-typing of O157 and non-O157 Escherichia coli serotypes and their integration into a polyphasic taxonomy approach. Irish Journal of Agricultural and Food Research, 55(2), pp. 81-90, doi:10.1515/ijafr-2016-0008
    Abstract
    Phenotypic, chemotaxonomic and genotypic data from 12 strains of Escherichia coli were collected, including carbon source utilisation profiles, ribotypes, sequencing data of the 16S–23S rRNA internal transcribed region (ITS) and Fourier transform-infrared (FT-IR) spectroscopic profiles. The objectives were to compare several identification systems for E. coli and to develop and test a polyphasic taxonomic approach using the four methodologies combined for the sub-typing of O157 and non-O157 E. coli. The nucleotide sequences of the 16S–23S rRNA ITS regions were amplified by polymerase chain reaction (PCR), sequenced and compared with reference data available at the GenBank database using the Basic Local Alignment Search Tool (BLAST) . Additional information comprising the utilisation of carbon sources, riboprint profiles and FT-IR spectra was also collected. The capacity of the methods for the identification and typing of E. coli to species and subspecies levels was evaluated. Data were transformed and integrated to present polyphasic hierarchical clusters and relationships. The study reports the use of an integrated scheme comprising phenotypic, chemotaxonomic and genotypic information (carbon source profile, sequencing of the 16S–23S rRNA ITS, ribotyping and FT-IR spectroscopy) for a more precise characterisation and identification of E. coli. The results showed that identification of E. coli strains by each individual method was limited mainly by the extension and quality of reference databases. On the contrary, the polyphasic approach, whereby heterogeneous taxonomic data were combined and weighted, improved the identification results, gave more consistency to the final clustering and provided additional information on the taxonomic structure and phenotypic behaviour of strains, as shown by the close clustering of strains with similar stress resistance patterns.
    Funder
    Research Council of Norway; INIA, Spain; Foundation for Levy on Foods; Norwegian Research Fees Fund for Agricultural Goods; Norwegian Independent Meat and Poultry Association
    Grant Number
    178230/I10
    ae974a485f413a2113503eed53cd6c53
    https://doi.org/10.1515/ijafr-2016-0008
    Scopus Count
    Collections
    IJAFR, volume 55, no. 2, 2016
    IJAFR, volume 55, no. 2, 2016
    Food Quality & Sensory Science

    entitlement

     
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.