Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 541085
Title Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures
Author(s) Kok, Esther; Dijk, Jeroen van; Voorhuijzen, Marleen; Staats, Martijn; Slot, Martijn; Lommen, Arjen; Venema, Dini; Pla, Maria; Corujo, Maria; Barros, Eugenia; Hutten, Ronald; Jansen, Jeroen; Voet, Hilko van der
Source Food Chemistry (2018). - ISSN 0308-8146
DOI https://doi.org/10.1016/j.foodchem.2018.07.224
Department(s) RIKILT - BU Toxicology Bioassays & Novel Foods
VLAG
RIKILT - Business unit Contaminants & Toxins
PBR Biodiversiteit en Genetische Variatie
Biometris (PPO/PRI)
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Compositional analysis - Genetically modified organism - GMO - Omics profiling - Risk assessment
Abstract

The objective of this study was to quantitatively assess potato omics profiles of new varieties for meaningful differences from analogous profiles of commercial varieties through the SIMCA one-class classification model. Analytical profiles of nine commercial potato varieties, eleven experimental potato varieties, one GM potato variety that had acquired Phytophtora resistance based on a single insert with potato-derived DNA sequences, and its non-GM commercial counterpart were generated. The ten conventional varieties were used to construct the one-class model. Omics profiles from experimental non-GM and GM varieties were assessed using the one-class SIMCA models. No potential unintended effects were identified in the case of the GM variety. The model showed that varieties that were genetically more distant from the commercial varieties were recognized as aberrant, highlighting its potential in determining whether additional evaluation is required for the risk assessment of materials produced from any breeding technique, including genetic modification.

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