title: New approaches in GMO detection.
abstract: The steady rate of development and diffusion of genetically modified plants and their increasing diversification of characteristics, genes and genetic control elements poses a challenge in analysis of genetically modified organisms (GMOs). It is expected that in the near future the picture will be even more complex. Traditional approaches, mostly based on the sequential detection of one target at a time, or on a limited multiplexing, allowing only a few targets to be analysed at once, no longer meet the testing requirements. Along with new analytical technologies, new approaches for the detection of GMOs authorized for commercial purposes in various countries have been developed that rely on (1) a smart and accurate strategy for target selection, (2) the use of high-throughput systems or platforms for the detection of multiple targets and (3) algorithms that allow the conversion of analytical results into an indication of the presence of individual GMOs potentially present in an unknown sample. This paper reviews the latest progress made in GMO analysis, taking examples from the most recently developed strategies and tools, and addresses some of the critical aspects related to these approaches.
authors.affiliation: Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection (IHCP), European Commission-Joint Research Centre (JRC), Via Fermi 2749, 21027 Ispra, Va, Italy. maddalena.querci@jrc.ec.europa.eu
authors.forename: Maddalena
authors.initials: M
authors.lastname: Querci
authors.forename: Marc
authors.initials: M
authors.lastname: Van den Bulcke
authors.forename: Jana
authors.initials: J
authors.lastname: Zel
authors.forename: Guy
authors.initials: G
authors.lastname: Van den Eede
authors.forename: Hermann
authors.initials: H
authors.lastname: Broll
mesh_terms: D005821:Genetic Techniques; D057166:High-Throughput Screening Assays / Q000379:methods*; D030821:Plants, Genetically Modified / Q000235:genetics*