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Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures. | LitMetric

AI Article Synopsis

  • The study aimed to evaluate the omics profiles of new potato varieties against established commercial types using a specific classification model called SIMCA.
  • Nine commercial potato varieties and eleven experimental varieties, including one genetically modified (GM) type with Phytophthora resistance, were analyzed for comparison.
  • Results showed no unintended effects from the GM variety, and the model identified genetically different varieties, indicating it could help assess potential risks of new breeding techniques, including genetic modification.

Article 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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Source
http://dx.doi.org/10.1016/j.foodchem.2018.07.224DOI Listing

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