Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782178718561599488 |
---|---|
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. |
format | Text |
id | pubmed-2836468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT vandenbulckemarc atheoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT lievensantoon atheoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT barbaupiednoirelodie atheoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT mbongolombellaguillaume atheoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT roosensnancy atheoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT sneyersmyriam atheoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT casiamayaleunda atheoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT vandenbulckemarc theoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT lievensantoon theoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT barbaupiednoirelodie theoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT mbongolombellaguillaume theoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT roosensnancy theoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT sneyersmyriam theoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants AT casiamayaleunda theoreticalintroductiontocombinatorysybrgreenqpcrscreeningamatrixbasedapproachforthedetectionofmaterialsderivedfromgeneticallymodifiedplants |