dc.contributor.author |
Kok, E
|
|
dc.contributor.author |
Van Dijk, J
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|
dc.contributor.author |
Voorhuijzen, M
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|
dc.contributor.author |
Staats, M
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|
dc.contributor.author |
Lommen, A
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|
dc.contributor.author |
Venema, D
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|
dc.contributor.author |
Pla, M
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|
dc.contributor.author |
Barros, Maria EC
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|
dc.date.accessioned |
2019-06-05T05:55:20Z |
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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
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|
dc.identifier.uri |
http://hdl.handle.net/10204/11003
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|
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 -
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en_ZA |