20.500.12556/DiRROS-19688-ea2175cd-4c99-fb74-e80a-2cda68322103 ALF a strategy for identification of unauthorized GMOs in complex mixtures by a GW-NGS method and dedicated bioinformatics analysis The majority of feed products in industrialised countries contains materials derived from genetically modified organisms (GMOs). In parallel, the number of reports of unauthorised GMOs (UGMOs) is gradually increasing. There is a lack of specific detection methods for UGMOs, due to the absence of detailed sequence information and reference materials. In this research, an adapted genome walking approach was developed, called ALF: Amplification of Linearly-enriched Fragments. Coupling of ALF to NGS aims for simultaneous detection and identification of all GMOs, including UGMOs, in one sample, in a single analysis. The ALF approach was assessed on a mixture made of DNA extracts from four reference materials, in an uneven distribution, mimicking a real life situation. The complete insert and genomic flanking regions were known for three of the included GMO events, while for MON15985 only partial sequence information was available. Combined with a known organisation of elements, this GMO served as a model for a UGMO. We successfully identified sequences matching with this organisation of elements serving as proof of principle for ALF as new UGMO detection strategy. Additionally, this study provides a first outline of an automated, web-based analysis pipeline for identification of UGMOs containing known GM elements. biotechnology molecular biology true false true Angleški jezik Ni določen Neznano 2024-07-24 03:44:52 2024-07-25 09:58:48 2024-09-10 13:58:42 0000-00-00 00:00:00 2017 0 0 Nasl. z nasl. zaslona; Opis vira z dne 6. 11. 2017; str. 1-12 Vol. 7 2017 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2017-10-26 577.2 2045-2322 10.1038/s41598-017-14469-8 4484175 https://www.nature.com/articles/s41598-017-14469-8 1 a56f5ab5-494d-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27225 RAZ_Bogozalec_Kosir_Alexandra_2017.pdf RAZ_Bogozalec_Kosir_Alexandra_2017.pdf 1 17E5BCBC49437C845F0DC58B944292A0 b4edbe1141508e456f1950ac932b71a339f80e536f983cf53c3b1fbf742faf46 2f06ca6f-4a4b-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27452 Nacionalni inštitut za biologijo 0 0 0