Genetic fingerprints derived from genome database mining allow accurate identification of genome-edited rice in the food chain via targeted high-throughput sequencing.

doi:10.1016/j.foodres.2025.117218

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Genetic fingerprints derived from genome database mining allow accurate identification of genome-edited rice in the food chain via targeted high-throughput sequencing.

Food research international (Ottawa, Ont.) - 1 Dec 2025

Fraiture Marie-Alice, D'aes Jolien, Gobbo Andrea, Delvoye Maud, Meunier Anne-Cécile, Frouin Julien, Guiderdoni Emmanuel, Deforce Dieter, De Vogelaere Charlotte, De Keersmaecker Sigrid C J, Vanneste Kevin, Roosens Nancy H C

Abstract excerpt

Genome-edited (GE) organisms are currently classified as GMOs according to European legislation, requiring traceability and labelling in the food and feed supply chain. However, unambiguous identification of a specific GE organism with one or more induced single nucleotide variations (SNVs) dispersed across the genome remains challenging. This study explored whole-genome sequencing-based characterization, public...

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Genetic fingerprints derived from genome database mining allow accurate identification of genome-edited rice in the food chain via targeted high-throughput sequencing.

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