Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 436003
Title Towards Detection of Unknown GMOs
Author(s) Holst-Jensen, A.; Berdal, K.G.; Bertheau, Y.; Bohanec, M.; Bohlin, J.; Chaouachi, M.; Gruden, K.; Hamels, S.; Kok, E.J.; Krech, A.; Kristoffersen, A.B.; Laval, V.; Leimanis, S.; Lovoll, M.; Morisset, D.; Nemeth, A.; Papazova, N.; Prins, T.W.; Remacle, J.; Richl, P.; Ruttink, T.; Taverniers, I.; Tengs, T.; Dijk, J.P. van; Wulff, D.; Zel, J.; Zhang, H.; Znidarsic, M.
Source In: Genetically Modified and Non-Genetically Modified Food Supply Chains / Bertheau, Y., Chichester : Wiley-Blackwell - ISBN 9781444337785 - p. 367 - 382.
DOI https://doi.org/10.1002/9781118373781.ch20
Department(s) RIKILT - Business Unit Safety & Health
Publication type Peer reviewed book chapter
Publication year 2012
Abstract The state-of-the-art technology for detection of genetically modified organisms (GMOs) is polymerase chain reaction. The targets are novel sequences such as genes, but the insertion locus sequences are also important for GMO identification. GMOs go through a series of developmental stages, in which field trials precede commercial releases. GMO developers only exceptionally publish details on inserted novel sequences unless such publication is, for example, required by legislation. Information on novel sequences of GMOs may therefore be sparse, and in some cases completely missing, making the development and implementation of detection methods extremely difficult. In this chapter, we present an overview of the problems and proposed possible solutions to challenges associated with detection and correct identification of GMOs, with particular emphasis on unknown GMOs
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