Literature DB >> 15859083

Quantification of the 35S promoter in DNA extracts from genetically modified organisms using real-time polymerase chain reaction and specificity assessment on various genetically modified organisms, part I: operating procedure.

Sophie Fernandez1, Chrystèle Charles-Delobel, Angèle Geldreich, Georges Berthier, Francine Boyer, Cécile Collonnier, Géraldine Coué-Philippe, Annick Diolez, Marie-Noëlle Duplan, Naïma Kebdani, Marcel Romaniuk, Max Feinberg, Yves Bertheau.   

Abstract

A highly sensitive quantitative real-time assay targeted on the 35S promoter of a commercial genetically modified organism (GMO) was characterized (sF/sR primers) and developed for an ABI Prism 7700 Sequence Detection System and TaqMan chemistry. The specificity assessment and performance criteria of sF/sR assay were compared to other P35S-targeted published assays. sF/sR primers amplified a 79 base pair DNA sequence located in a part of P35S that is highly conserved among many caulimovirus strains, i.e., this consensus part of CaMV P35S is likely to be present in many GM events. According to the experimental conditions, the absolute limit of detection for Bt176 corn was estimated between 0.2 and 2 copies of equivalent genome (CEG). The limit of quantification was reached below 0.1% Bt176 content. A Cauliflower Mosaic Virus control (CaMV) qualitative assay targeted on the ORF III of the viral genome was also used as a control (primers 3F/3R) to assess the presence of CaMV in plant-derived products. The specificity of this test was assessed on various CaMV strains, including the Figwort Mosaic Virus (FMV) and solanaceous CaMV strains. Considering the performance of sF/sR quantification test, the highly conserved sequence, and the small size of the amplicon, this assay was tested in a collaborative study in order to be proposed as an international standard.

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Year:  2005        PMID: 15859083

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  9 in total

1.  A microarray-based detection system for genetically modified (GM) food ingredients.

Authors:  Serge Leimanis; Marta Hernández; Sophie Fernández; Francine Boyer; Malcolm Burns; Shirin Bruderer; Thomas Glouden; Neil Harris; Othmar Kaeppeli; Patrick Philipp; Maria Pla; Pere Puigdomènech; Marc Vaitilingom; Yves Bertheau; José Remacle
Journal:  Plant Mol Biol       Date:  2006-05       Impact factor: 4.076

2.  Development of a general method for detection and quantification of the P35S promoter based on assessment of existing methods.

Authors:  Yuhua Wu; Yulei Wang; Jun Li; Wei Li; Li Zhang; Yunjing Li; Xiaofei Li; Jun Li; Li Zhu; Gang Wu
Journal:  Sci Rep       Date:  2014-12-08       Impact factor: 4.379

3.  Optimised LAMP allows single copy detection of 35Sp and NOSt in transgenic maize using Bioluminescent Assay in Real Time (BART).

Authors:  Patrick Hardinge; Guy Kiddle; Laurence Tisi; James A H Murray
Journal:  Sci Rep       Date:  2018-12-04       Impact factor: 4.379

4.  Targeted Next Generation Sequencing to study insert stability in genetically modified plants.

Authors:  Anne-Laure Boutigny; Audrey Barranger; Claire De Boisséson; Yannick Blanchard; Mathieu Rolland
Journal:  Sci Rep       Date:  2019-02-19       Impact factor: 4.379

5.  Multiplex quantitative PCR for single-reaction genetically modified (GM) plant detection and identification of false-positive GM plants linked to Cauliflower mosaic virus (CaMV) infection.

Authors:  Aurélie Bak; Joanne B Emerson
Journal:  BMC Biotechnol       Date:  2019-11-07       Impact factor: 2.563

6.  The use of 35S and Tnos expression elements in the measurement of genetically engineered plant materials.

Authors:  Marcia J Holden; Marci Levine; Tandace Scholdberg; Ross J Haynes; G Ronald Jenkins
Journal:  Anal Bioanal Chem       Date:  2009-10-25       Impact factor: 4.142

Review 7.  How to deal with the upcoming challenges in GMO detection in food and feed.

Authors:  Sylvia R M Broeders; Sigrid C J De Keersmaecker; Nancy H C Roosens
Journal:  J Biomed Biotechnol       Date:  2012-10-21

8.  Microarray-based method for detection of unknown genetic modifications.

Authors:  Torstein Tengs; Anja B Kristoffersen; Knut G Berdal; Tage Thorstensen; Melinka A Butenko; Håvard Nesvold; Arne Holst-Jensen
Journal:  BMC Biotechnol       Date:  2007-12-18       Impact factor: 2.563

9.  Full Dynamic Range Quantification using Loop-mediated Amplification (LAMP) by Combining Analysis of Amplification Timing and Variance between Replicates at Low Copy Number.

Authors:  Patrick Hardinge; James A H Murray
Journal:  Sci Rep       Date:  2020-01-22       Impact factor: 4.379

  9 in total

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