Evidence map›Paper›PMID 26272331›Full record

ArticleBMC biotechnology2015

Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices.

Marie-Alice Fraiture, Philippe Herman, Loic Lefèvre, Isabel Taverniers, Marc De Loose, Dieter Deforce, Nancy H Roosens

Abstract read
In one paragraph

Article in BMC biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marie-Alice FraitureScientific Institute of Public Health (WIV-ISP), Platform of Biotechnology and Molecular Biology (PBB) and Biosafety and Biotechnology Unit (SBB), J. Wytsmanstraat 14, 1050, Brussels, Belgium. MarieAlice.Fraiture@wiv-isp.be.
Philippe HermanScientific Institute of Public Health (WIV-ISP), Platform of Biotechnology and Molecular Biology (PBB) and Biosafety and Biotechnology Unit (SBB), J. Wytsmanstraat 14, 1050, Brussels, Belgium. philippe.herman@wiv-isp.be.
Loic LefèvreScientific Institute of Public Health (WIV-ISP), Platform of Biotechnology and Molecular Biology (PBB) and Biosafety and Biotechnology Unit (SBB), J. Wytsmanstraat 14, 1050, Brussels, Belgium. Loic.Lefevre@wiv-isp.be.
Isabel TaverniersInstitute for Agricultural and Fisheries Research (ILVO), Technology and Food Sciences Unit, Burg. Van Gansberghelaan 115 bus 1, 9820, Merelbeke, Belgium. Isabel.Taverniers@ilvo.vlaanderen.be.
Marc De LooseInstitute for Agricultural and Fisheries Research (ILVO), Technology and Food Sciences Unit, Burg. Van Gansberghelaan 115 bus 1, 9820, Merelbeke, Belgium. marc.deloose@ilvo.vlaanderen.be.
Dieter DeforceGhent University, Faculty of Pharmaceutical Sciences, Laboratory of Pharmaceutical Biotechnology, Ottergemsesteenweg 460, 9000, Ghent, Belgium. Dieter.Deforce@UGent.be.
Nancy H RoosensScientific Institute of Public Health (WIV-ISP), Platform of Biotechnology and Molecular Biology (PBB) and Biosafety and Biotechnology Unit (SBB), J. Wytsmanstraat 14, 1050, Brussels, Belgium. nancy.roosens@wiv-isp.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to provide a system fully integrated with qPCR screening, usually used in GMO routine analysis, as well as being able to detect, characterize and identify a broad spectrum of GMOs in food/feed matrices, two bidirectional DNA walking methods targeting p35S or tNOS, the most common transgenic elements found in GM crops, were developed. These newly developed DNA walking methods are completing the previously implemented DNA walking method targeting the t35S pCAMBIA element.

methodsFood/feed matrices containing transgenic crops (Bt rice or MON863 maize) were analysed using the integrated DNA walking system.

resultsFirst, the newly developed DNA walking methods, anchored on the sequences used for the p35S or tNOS qPCR screening, were tested on Bt rice that contains these two transgenic elements. Second, the methods were assessed on a maize sample containing a low amount of the GM MON863 event, representing a more complex matrix in terms of genome size and sensitivity. Finally, to illustrate its applicability in GMO routine analysis by enforcement laboratories, the entire workflow of the integrated strategy, including qPCR screening to detect the potential presence of GMOs and the subsequent DNA walking methods to characterize and identify the detected GMOs, was applied on a GeMMA Scheme Proficiency Test matrix. Via the characterization of the transgene flanking region between the transgenic cassette and the plant genome as well as of a part of the transgenic cassette, the presence of GMOs was properly confirmed or infirmed in all tested samples.

conclusionDue to their simple procedure and their short time-frame to get results, the developed DNA walking methods proposed here can be easily implemented in GMO routine analysis by the enforcement laboratories. In providing crucial information about the transgene flanking regions and/or the transgenic cassettes, this DNA walking strategy is a key molecular tool to prove the presence of GMOs in any given food/feed matrix.

Indexed as

Food, Genetically ModifiedPlants, Genetically ModifiedChromosome WalkingDNA, PlantHumansReal-Time Polymerase Chain ReactionDNA, Plant

Identifiers

PMID26272331
PMCPMC4535744

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.