Your browser doesn't support javascript.
loading
Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures.
Kok, Esther; van Dijk, Jeroen; Voorhuijzen, Marleen; Staats, Martijn; Slot, Martijn; Lommen, Arjen; Venema, Dini; Pla, Maria; Corujo, Maria; Barros, Eugenia; Hutten, Ronald; Jansen, Jeroen; van der Voet, Hilko.
Afiliação
  • Kok E; RIKILT Wageningen University & Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands. Electronic address: esther.kok@wur.nl.
  • van Dijk J; RIKILT Wageningen University & Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands.
  • Voorhuijzen M; RIKILT Wageningen University & Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands.
  • Staats M; RIKILT Wageningen University & Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands.
  • Slot M; RIKILT Wageningen University & Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands.
  • Lommen A; RIKILT Wageningen University & Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands.
  • Venema D; RIKILT Wageningen University & Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands.
  • Pla M; University of Girona, Institute for Food and Agricultural Technology (INTEA), Campus Montilivi (EPS-1), 17003 Girona, Spain.
  • Corujo M; Centre for Research in Agricultural Genomics (CRAG), Edifici CRAG, Campus UAB, 08193 Cerdanyola, Barcelona, Spain.
  • Barros E; Council for Scientific and Industrial Research (CSIR), Biosciences, Brummeria, Pretoria, South Africa.
  • Hutten R; Wageningen University & Research, Plant Breeding, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands.
  • Jansen J; University of Nijmegen, Comeniuslaan 4, 6525 HP Nijmegen, the Netherlands.
  • van der Voet H; Wageningen University & Research, Biometris, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands.
Food Chem ; 292: 350-358, 2019 Sep 15.
Article em En | MEDLINE | ID: mdl-31054687
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solanum tuberosum / Plantas Geneticamente Modificadas / Metaboloma / Transcriptoma Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solanum tuberosum / Plantas Geneticamente Modificadas / Metaboloma / Transcriptoma Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article