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A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants

The detection of genetically modified (GM) materials in food and feed products is a complex multi-step analytical process invoking screening, identification, and often quantification of the genetically modified organisms (GMO) present in a sample. “Combinatory qPCR SYBR®Green screening” (CoSYPS) is...

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Autores principales: Van den Bulcke, Marc, Lievens, Antoon, Barbau-Piednoir, Elodie, MbongoloMbella, Guillaume, Roosens, Nancy, Sneyers, Myriam, Casi, Amaya Leunda
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836468/
https://www.ncbi.nlm.nih.gov/pubmed/19960341
http://dx.doi.org/10.1007/s00216-009-3286-7
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author Van den Bulcke, Marc
Lievens, Antoon
Barbau-Piednoir, Elodie
MbongoloMbella, Guillaume
Roosens, Nancy
Sneyers, Myriam
Casi, Amaya Leunda
author_facet Van den Bulcke, Marc
Lievens, Antoon
Barbau-Piednoir, Elodie
MbongoloMbella, Guillaume
Roosens, Nancy
Sneyers, Myriam
Casi, Amaya Leunda
author_sort Van den Bulcke, Marc
collection PubMed
description The detection of genetically modified (GM) materials in food and feed products is a complex multi-step analytical process invoking screening, identification, and often quantification of the genetically modified organisms (GMO) present in a sample. “Combinatory qPCR SYBR®Green screening” (CoSYPS) is a matrix-based approach for determining the presence of GM plant materials in products. The CoSYPS decision-support system (DSS) interprets the analytical results of SYBR®GREEN qPCR analysis based on four values: the C (t)- and T (m) values and the LOD and LOQ for each method. A theoretical explanation of the different concepts applied in CoSYPS analysis is given (GMO Universe, “Prime number tracing”, matrix/combinatory approach) and documented using the RoundUp Ready soy GTS40-3-2 as an example. By applying a limited set of SYBR®GREEN qPCR methods and through application of a newly developed “prime number”-based algorithm, the nature of subsets of corresponding GMO in a sample can be determined. Together, these analyses provide guidance for semi-quantitative estimation of GMO presence in a food and feed product.
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spelling pubmed-28364682010-03-24 A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants Van den Bulcke, Marc Lievens, Antoon Barbau-Piednoir, Elodie MbongoloMbella, Guillaume Roosens, Nancy Sneyers, Myriam Casi, Amaya Leunda Anal Bioanal Chem Original Paper The detection of genetically modified (GM) materials in food and feed products is a complex multi-step analytical process invoking screening, identification, and often quantification of the genetically modified organisms (GMO) present in a sample. “Combinatory qPCR SYBR®Green screening” (CoSYPS) is a matrix-based approach for determining the presence of GM plant materials in products. The CoSYPS decision-support system (DSS) interprets the analytical results of SYBR®GREEN qPCR analysis based on four values: the C (t)- and T (m) values and the LOD and LOQ for each method. A theoretical explanation of the different concepts applied in CoSYPS analysis is given (GMO Universe, “Prime number tracing”, matrix/combinatory approach) and documented using the RoundUp Ready soy GTS40-3-2 as an example. By applying a limited set of SYBR®GREEN qPCR methods and through application of a newly developed “prime number”-based algorithm, the nature of subsets of corresponding GMO in a sample can be determined. Together, these analyses provide guidance for semi-quantitative estimation of GMO presence in a food and feed product. Springer-Verlag 2009-12-04 2010 /pmc/articles/PMC2836468/ /pubmed/19960341 http://dx.doi.org/10.1007/s00216-009-3286-7 Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Paper
Van den Bulcke, Marc
Lievens, Antoon
Barbau-Piednoir, Elodie
MbongoloMbella, Guillaume
Roosens, Nancy
Sneyers, Myriam
Casi, Amaya Leunda
A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
title A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
title_full A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
title_fullStr A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
title_full_unstemmed A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
title_short A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
title_sort theoretical introduction to “combinatory sybr®green qpcr screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836468/
https://www.ncbi.nlm.nih.gov/pubmed/19960341
http://dx.doi.org/10.1007/s00216-009-3286-7
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