Evidence map›Paper›PMID 31666537›Full record

ArticleScientific reports2019

Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies.

Frédéric Debode, Julie Hulin, Benoît Charloteaux, Wouter Coppieters, Marc Hanikenne, Latifa Karim, Gilbert Berben

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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.

Frédéric DebodeWalloon Agricultural Research Center (CRA-W), Unit Traceability and Authentication, chaussée de Namur 24, 5030, Gembloux, Belgium. f.debode@cra.wallonie.be.
Julie HulinWalloon Agricultural Research Center (CRA-W), Unit Traceability and Authentication, chaussée de Namur 24, 5030, Gembloux, Belgium.ORCID http://orcid.org/0000-0003-3271-0157
Benoît CharloteauxUniversity of Liège, GIGA - Genomics Platform, B34, 4000, Liège (Sart Tilman), Belgium.
Wouter CoppietersUniversity of Liège, GIGA - Genomics Platform, B34, 4000, Liège (Sart Tilman), Belgium.
Marc HanikenneUniversity of Liège, InBioS - PhytoSystems, Functional Genomics and Plant Molecular Imaging, Chemin de la Vallée, 4, B22, 4000, Liège (Sart Tilman), Belgium.
Latifa KarimUniversity of Liège, GIGA - Genomics Platform, B34, 4000, Liège (Sart Tilman), Belgium.
Gilbert BerbenWalloon Agricultural Research Center (CRA-W), Unit Traceability and Authentication, chaussée de Namur 24, 5030, Gembloux, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing (NGS) is a promising tool for analysing the quality and safety of food and feed products. The detection and identification of genetically modified organisms (GMOs) is complex, as the diversity of transgenic events and types of structural elements introduced in plants continue to increase. In this paper, we show how a strategy that combines enrichment technologies with NGS can be used to detect a large panel of structural elements and partially or completely reconstruct the new sequence inserted into the plant genome in a single analysis, even at low GMO percentages. The strategy of enriching sequences of interest makes the approach applicable even to mixed products, which was not possible before due to insufficient coverage of the different genomes present. This approach is also the first step towards a more complete characterisation of agrifood products in a single analysis.

Indexed as

High-Throughput Nucleotide SequencingPlants, Genetically ModifiedFood, Genetically ModifiedGenome, PlantSequence Analysis, DNA

Identifiers

PMID31666537
PMCPMC6821802

What OpenQuestion holds

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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.