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Optimalization of HRM-PCR method for identification lactic acid bacteria from complex samples

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26310%2F16%3APU124177" target="_blank" >RIV/00216305:26310/16:PU124177 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimalization of HRM-PCR method for identification lactic acid bacteria from complex samples

  • Original language description

    Molecular based differentiation of various bacterial species is important mainly in diagnostic, epidemiological and food quality control studies, particulary where phenotype makes the identification of bacteria difficult. Molecular methods based on the amplification of 16S ribosomal RNA gene analysis are more rapid, reliable, and reproducible and have greater sensitivity. High resolution melting (HRM) curve analysis is a simple, low-ccost, closed tube method for amplicon discrimination and easy integration with real.time polymerase chain reaction (HRM-PCR). In this contribution we report rapid species identification of lactic acid bacteria using HRM-PCR in complex food samples. Three different DNA isolation methods were used in this work: phenol extraction, separation using magnetic particles and commercial kit. Three sets of primers targeted hypervariable region (V1-F - V1-R, V3-F - V3-R, V6-F - V6-R) were tested for amplification of the 16S rRNA gene. Presented method was optimized on 6 Reference co

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů