<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marie-Alice Fraiture</style></author><author><style face="normal" font="default" size="100%">Assia Saltykova</style></author><author><style face="normal" font="default" size="100%">Sigrid C.J. De Keersmaecker</style></author><author><style face="normal" font="default" size="100%">Nancy Roosens</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Hoffmann,S.</style></author><author><style face="normal" font="default" size="100%">Raf Winand</style></author><author><style face="normal" font="default" size="100%">Deforce, Dieter</style></author><author><style face="normal" font="default" size="100%">Kevin Vanneste</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Nanopore sequencing technology: a new route for the fast detection of unauthorized GMO.</style></title><secondary-title><style face="normal" font="default" size="100%">Sci Rep</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">DNA walking</style></keyword><keyword><style  face="normal" font="default" size="100%">food and feed safety</style></keyword><keyword><style  face="normal" font="default" size="100%">GMO</style></keyword><keyword><style  face="normal" font="default" size="100%">GMO detection</style></keyword><keyword><style  face="normal" font="default" size="100%">method</style></keyword><keyword><style  face="normal" font="default" size="100%">method development</style></keyword><keyword><style  face="normal" font="default" size="100%">nanopore sequencing</style></keyword><keyword><style  face="normal" font="default" size="100%">Unauthorised GMO</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018 May 21</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">8</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In order to strengthen the current genetically modified organism (GMO) detection system for unauthorized GMO, we have recently developed a new workflow based on DNA walking to amplify unknown sequences surrounding a known DNA region. This DNA walking is performed on transgenic elements, commonly found in GMO, that were earlier detected by real-time PCR (qPCR) screening. Previously, we have demonstrated the ability of this approach to detect unauthorized GMO via the identification of unique transgene flanking regions and the unnatural associations of elements from the transgenic cassette. In the present study, we investigate the feasibility to integrate the described workflow with the MinION Next-Generation-Sequencing (NGS). The MinION sequencing platform can provide long read-lengths and deal with heterogenic DNA libraries, allowing for rapid and efficient delivery of sequences of interest. In addition, the ability of this NGS platform to characterize unauthorized and unknown GMO without any a priori knowledge has been assessed.&lt;/p&gt;
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