Literature DB >> 20101506

Validation of a newly developed hexaplex real-time PCR assay for screening for presence of GMOs in food, feed and seed.

C Bahrdt1, A B Krech, A Wurz, D Wulff.   

Abstract

For years, an increasing number and diversity of genetically modified plants has been grown on a commercial scale. The need for detection and identification of these genetically modified organisms (GMOs) calls for broad and at the same time flexible high throughput testing methods. Here we describe the development and validation of a hexaplex real-time polymerase chain reaction (PCR) screening assay covering more than 100 approved GMOs containing at least one of the GMO targets of the assay. The assay comprises detection systems for Cauliflower Mosaic Virus 35S promoter, Agrobacterium tumefaciens NOS terminator, Figwort Mosaic Virus 34S promoter and two construct-specific sequences present in novel genetically modified soybean and maize that lack common screening elements. Additionally a detection system for an internal positive control (IPC) indicating the presence or absence of PCR inhibiting substances was included. The six real-time PCR systems were allocated to five detection channels showing no significant crosstalk between the detection channels. As part of an extensive validation, a limit of detection (LOD(abs)) < or = ten target copies was proven in hexaplex format. A sensitivity < or = ten target copies of each GMO detection system was still shown in highly asymmetric target situations in the presence of 1,000 copies of all other GMO targets of each detection channel. Furthermore, the applicability to a broad sample spectrum and reliable indication of inhibition by the IPC system was demonstrated. The presented hexaplex assay offers sensitive and reliable detection of GMOs in processed and unprocessed food, feed and seed samples with high efficiency.

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Year:  2010        PMID: 20101506     DOI: 10.1007/s00216-009-3380-x

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  8 in total

1.  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

2.  MassCode liquid arrays as a tool for multiplexed high-throughput genetic profiling.

Authors:  Gregory S Richmond; Htet Khine; Tina T Zhou; Daniel E Ryan; Tony Brand; Mary T McBride; Kevin Killeen
Journal:  PLoS One       Date:  2011-04-22       Impact factor: 3.240

3.  Using the full spectral capacity (six channels) of a real-time PCR instrument can simplify diagnostic laboratory screening and typing protocols for pandemic H1N1 influenza.

Authors:  Mark J Hopkins; Jay F Moorcroft; Jailson B Correia; Ian J Hart
Journal:  Influenza Other Respir Viruses       Date:  2010-10-08       Impact factor: 4.380

4.  Development and inter-laboratory assessment of droplet digital PCR assays for multiplex quantification of 15 genetically modified soybean lines.

Authors:  Alexandra Bogožalec Košir; Bjørn Spilsberg; Arne Holst-Jensen; Jana Žel; David Dobnik
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

5.  Development and comparative study of a pat/bar real-time PCR assay for integrating the screening strategy of a GMO testing laboratory.

Authors:  Daniela Verginelli; Annalisa Paternò; Maria Laura De Marchis; Cinzia Quarchioni; Daniela Vinciguerra; Pamela Bonini; Stefania Peddis; Cristiana Fusco; Marisa Misto; Cristina Marfoglia; Francesco Pomilio; Ugo Marchesi
Journal:  J Sci Food Agric       Date:  2020-01-17       Impact factor: 3.638

Review 6.  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

7.  A statistical approach to quantification of genetically modified organisms (GMO) using frequency distributions.

Authors:  Lars Gerdes; Ulrich Busch; Sven Pecoraro
Journal:  BMC Bioinformatics       Date:  2014-12-14       Impact factor: 3.169

Review 8.  Current and new approaches in GMO detection: challenges and solutions.

Authors:  Marie-Alice Fraiture; Philippe Herman; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  Biomed Res Int       Date:  2015-10-15       Impact factor: 3.411

  8 in total

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