Literature DB >> 23400878

Relative quantification in seed GMO analysis: state of art and bottlenecks.

Maher Chaouachi1, Aurélie Bérard, Khaled Saïd.   

Abstract

Reliable quantitative methods are needed to comply with current EU regulations on the mandatory labeling of genetically modified organisms (GMOs) and GMO-derived food and feed products with a minimum GMO content of 0.9 %. The implementation of EU Commission Recommendation 2004/787/EC on technical guidance for sampling and detection which meant as a helpful tool for the practical implementation of EC Regulation 1830/2003, which states that "the results of quantitative analysis should be expressed as the number of target DNA sequences per target taxon specific sequences calculated in terms of haploid genomes". This has led to an intense debate on the type of calibrator best suitable for GMO quantification. The main question addressed in this review is whether reference materials and calibrators should be matrix based or whether pure DNA analytes should be used for relative quantification in GMO analysis. The state of the art, including the advantages and drawbacks, of using DNA plasmid (compared to genomic DNA reference materials) as calibrators, is widely described. In addition, the influence of the genetic structure of seeds on real-time PCR quantitative results obtained for seed lots is discussed. The specific composition of a seed kernel, the mode of inheritance, and the ploidy level ensure that there is discordance between a GMO % expressed as a haploid genome equivalent and a GMO % based on numbers of seeds. This means that a threshold fixed as a percentage of seeds cannot be used as such for RT-PCR. All critical points that affect the expression of the GMO content in seeds are discussed in this paper.

Mesh:

Year:  2013        PMID: 23400878     DOI: 10.1007/s11248-012-9684-1

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  61 in total

1.  Validation of real-time PCR analyses for line-specific quantitation of genetically modified maize and soybean using new reference molecules.

Authors:  Yoichiro Shindo; Hideo Kuribara; Takeshi Matsuoka; Satoshi Futo; Chihiro Sawada; Jinji Shono; Hiroshi Akiyama; Yukihiro Goda; Masatake Toyoda; Akihiro Hino
Journal:  J AOAC Int       Date:  2002 Sep-Oct       Impact factor: 1.913

2.  Detection of genetically modified organisms in foods by protein- and DNA-based techniques: bridging the methods.

Authors:  Gert J van Duijn; Ria van Biert; Henriette Bleeker-Marcelis; Ineke Van Boeijen; Abdi Jama Adan; Soeniei Jhakrie; Martin Hessing
Journal:  J AOAC Int       Date:  2002 May-Jun       Impact factor: 1.913

3.  Cloned plasmid DNA fragments as calibrators for controlling GMOs: different real-time duplex quantitative PCR methods.

Authors:  Isabel Taverniers; Erik Van Bockstaele; Marc De Loose
Journal:  Anal Bioanal Chem       Date:  2003-12-20       Impact factor: 4.142

4.  Coherence between legal requirements and approaches for detection of genetically modified organisms (GMOs) and their derived products.

Authors:  Arne Holst-Jensen; Marc De Loose; Guy Van den Eede
Journal:  J Agric Food Chem       Date:  2006-04-19       Impact factor: 5.279

5.  Qualitative and quantitative polymerase chain reaction assays for an alfalfa (Medicago sativa)-specific reference gene to use in monitoring transgenic cultivars.

Authors:  Trevor W Alexander; Tim Reuter; Tim A McAllister
Journal:  J Agric Food Chem       Date:  2007-03-20       Impact factor: 5.279

6.  DNA sequence organization in the soybean plant.

Authors:  R B Goldberg
Journal:  Biochem Genet       Date:  1978-02       Impact factor: 1.890

Review 7.  A cytometric exercise in plant DNA histograms, with 2C values for 70 species.

Authors:  D Marie; S C Brown
Journal:  Biol Cell       Date:  1993       Impact factor: 4.458

8.  Development of a real-time PCR method based on duplo target plasmids for determining an unexpected genetically modified soybean intermix with feed components.

Authors:  Lorenza Dalla Costa; Lucia Martinelli
Journal:  J Agric Food Chem       Date:  2007-02-21       Impact factor: 5.279

9.  International collaborative study of the endogenous reference gene, sucrose phosphate synthase (SPS), used for qualitative and quantitative analysis of genetically modified rice.

Authors:  Lingxi Jiang; Litao Yang; Haibo Zhang; Jinchao Guo; Marco Mazzara; Guy Van den Eede; Dabing Zhang
Journal:  J Agric Food Chem       Date:  2009-05-13       Impact factor: 5.279

10.  Dynamics of maize endosperm development and DNA endoreduplication.

Authors:  L Schweizer; G L Yerk-Davis; R L Phillips; F Srienc; R J Jones
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-18       Impact factor: 11.205

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  6 in total

1.  Ninety-day oral toxicity studies on two genetically modified maize MON810 varieties in Wistar Han RCC rats (EU 7th Framework Programme project GRACE).

Authors:  Dagmar Zeljenková; Katarína Ambrušová; Mária Bartušová; Anton Kebis; Jevgenij Kovrižnych; Zora Krivošíková; Miroslava Kuricová; Aurélia Líšková; Eva Rollerová; Viera Spustová; Elena Szabová; Jana Tulinská; Soňa Wimmerová; Mikuláš Levkut; Viera Révajová; Zuzana Ševčíková; Kerstin Schmidt; Jörg Schmidtke; Jose Luis La Paz; Maria Corujo; Maria Pla; Gijs A Kleter; Esther J Kok; Jutta Sharbati; Carlos Hanisch; Ralf Einspanier; Karine Adel-Patient; Jean-Michel Wal; Armin Spök; Annette Pöting; Christian Kohl; Ralf Wilhelm; Joachim Schiemann; Pablo Steinberg
Journal:  Arch Toxicol       Date:  2014-10-02       Impact factor: 5.153

2.  A comparison between quantitative PCR and droplet digital PCR technologies for circulating microRNA quantification in human lung cancer.

Authors:  Paola Campomenosi; Elisabetta Gini; Douglas M Noonan; Albino Poli; Paola D'Antona; Nicola Rotolo; Lorenzo Dominioni; Andrea Imperatori
Journal:  BMC Biotechnol       Date:  2016-08-18       Impact factor: 2.563

Review 3.  A Basic Guide to Real Time PCR in Microbial Diagnostics: Definitions, Parameters, and Everything.

Authors:  Petr Kralik; Matteo Ricchi
Journal:  Front Microbiol       Date:  2017-02-02       Impact factor: 5.640

4.  Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology.

Authors:  Michael D Pearson; Leslee Nguyen; Yanan Zhao; William L McKenna; Trevor J Morin; William B Dunbar
Journal:  PLoS One       Date:  2019-12-27       Impact factor: 3.240

5.  Digital PCR-Based Characterization of a g10evo-epsps Gene-Specific Matrix Reference Material for Its Food and Feed Detection.

Authors:  Xiaoyun Chen; Huiru Yu; Pengfei Wang; Cheng Peng; Xiaofu Wang; Xiaoli Xu; Junfeng Xu; Jingang Liang; Liang Li
Journal:  Foods       Date:  2022-06-25

6.  Development, Optimization, and Evaluation of a Duplex Droplet Digital PCR Assay To Quantify the T-nos/hmg Copy Number Ratio in Genetically Modified Maize.

Authors:  Dalmira Félix-Urquídez; Melina Pérez-Urquiza; José-Benigno Valdez Torres; Josefina León-Félix; Raymundo García-Estrada; Abraham Acatzi-Silva
Journal:  Anal Chem       Date:  2015-12-09       Impact factor: 6.986

  6 in total

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