Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies.

[en] Next generation sequencing (NGS) is a promising tool for analysing the quality and safety of food and feed products. The detection and identification of genetically modified organisms (GMOs) is complex, as the diversity of transgenic events and types of structural elements introduced in plants continue to increase. In this paper, we show how a strategy that combines enrichment technologies with NGS can be used to detect a large panel of structural elements and partially or completely reconstruct the new sequence inserted into the plant genome in a single analysis, even at low GMO percentages. The strategy of enriching sequences of interest makes the approach applicable even to mixed products, which was not possible before due to insufficient coverage of the different genomes present. This approach is also the first step towards a more complete characterisation of agrifood products in a single analysis.

Disciplines :

Agriculture & agronomy

Author, co-author :

Debode, Frederic

Hulin, Julie

CHARLOTEAUX, Benoit ; Centre Hospitalier Universitaire de Liège - CHU > Unilab > Service de génétique

Coppieters, Wouter ; Université de Liège - ULiège > Dpt. de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale

Hanikenne, Marc ; Université de Liège - ULiège > Département des sciences de la vie > Génomique fonctionnelle et imagerie moléculaire végétale

Karim, Latifa ; Université de Liège - ULiège > Platform Genomics

Berben, Gilbert

Language :

English

Title :

Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies.

Publication date :

2019

Journal title :

Scientific Reports

eISSN :

2045-2322

Publisher :

Nature Publishing Group, London, United Kingdom

Volume :

Issue :

Pages :

15595

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 21 November 2019

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