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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

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dc.contributor.author Kok, E
dc.contributor.author Van Dijk, J
dc.contributor.author Voorhuijzen, M
dc.contributor.author Staats, M
dc.contributor.author Lommen, A
dc.contributor.author Venema, D
dc.contributor.author Pla, M
dc.contributor.author Barros, Maria EC
dc.date.accessioned 2019-06-05T05:55:20Z
dc.date.available 2019-06-05T05:55:20Z
dc.date.issued 2019-09
dc.identifier.citation Kok E. et al. 2019. Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures. Food Chemistry, v 292, pp 350-358. en_US
dc.identifier.issn 0308-8146
dc.identifier.issn 1873-7072
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S0308814618313839
dc.identifier.uri https://doi.org/10.1016/j.foodchem.2018.07.224
dc.identifier.uri http://hdl.handle.net/10204/11003
dc.description Copyright: 2019 Elsevier. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Worklist;21993
dc.subject Omics profiling en_US
dc.subject Compositional analysis en_US
dc.subject Genetically modified organism en_US
dc.subject GMO en_US
dc.subject Risk assessment en_US
dc.title Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures en_US
dc.type Article en_US
dc.identifier.apacitation Kok, E., Van Dijk, J., Voorhuijzen, M., Staats, M., Lommen, A., Venema, D., ... Barros, M. E. (2019). Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures. http://hdl.handle.net/10204/11003 en_ZA
dc.identifier.chicagocitation Kok, E, J Van Dijk, M Voorhuijzen, M Staats, A Lommen, D Venema, M Pla, and Maria EC Barros "Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures." (2019) http://hdl.handle.net/10204/11003 en_ZA
dc.identifier.vancouvercitation Kok E, Van Dijk J, Voorhuijzen M, Staats M, Lommen A, Venema D, et al. Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures. 2019; http://hdl.handle.net/10204/11003. en_ZA
dc.identifier.ris TY - Article AU - Kok, E AU - Van Dijk, J AU - Voorhuijzen, M AU - Staats, M AU - Lommen, A AU - Venema, D AU - Pla, M AU - Barros, Maria EC AB - 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. DA - 2019-09 DB - ResearchSpace DP - CSIR KW - Omics profiling KW - Compositional analysis KW - Genetically modified organism KW - GMO KW - Risk assessment LK - https://researchspace.csir.co.za PY - 2019 SM - 0308-8146 SM - 1873-7072 T1 - Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures TI - Omics analyses of potato plant materials using an improved one-class classification tool to identify aberrant compositional profiles in risk assessment procedures UR - http://hdl.handle.net/10204/11003 ER - en_ZA


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