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        Advances in identifying GM plants: toward the routine detection of 'hidden' and 'new' GMOs

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        Author(s)
        Bertheau, Yves
        Language
        English
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        Abstract
        In 2018 the Court of Justice of the European Union recalled that organisms with genomes modified by artifactual techniques should be considered GMOs under European regulations. GMOs derived from cultures of cells isolated in vitro or from new genomic techniques must therefore be traceable. This chapter reviews the various technical steps and characteristics of those techniques causing genomic and epigenomic scars and signatures. These intentional and unintentional traces, some of which are already used for varietal identification, and are being standardized, can be used to identify these GMOs and differentiate them from natural mutants. The chapter suggests a routine procedure for operators and control laboratories to achieve this without additional costs.
        URI
        https://library.oapen.org/handle/20.500.12657/61501
        Keywords
        GMOs; genetic diversity; food supply chains; in vitro; detection targets
        DOI
        10.19103/AS.2021.0097.22
        ISBN
        9781801462044, 9781801462044
        Publisher
        Burleigh Dodds Science Publishing
        Publisher website
        https://bdspublishing.com/
        Publication date and place
        Cambridge, 2021
        Grantor
        • Institut National de la Recherche Agronomique - [...]
        Imprint
        Burleigh Dodds Science Publishing
        Series
        Burleigh Dodds Series in Agricultural Science,
        Classification
        Sustainable agriculture
        Agronomy and crop production
        Agricultural science
        Pages
        64
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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