Evidence map›Paper›PMID 18088429›Full record

ArticleBMC biotechnology2007

Microarray-based method for detection of unknown genetic modifications.

Torstein Tengs, Anja B Kristoffersen, Knut G Berdal, Tage Thorstensen, Melinka A Butenko, Håvard Nesvold, Arne Holst-Jensen

Abstract read
In one paragraph

Article in BMC biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Torstein TengsNational Veterinary Institute, Section of Feed and Food Microbiology, PO Box 8156 Dep, 0033 Oslo, Norway. torstein.tengs@vetinst.no
Anja B Kristoffersen
Knut G Berdal
Tage Thorstensen
Melinka A Butenko
Håvard Nesvold
Arne Holst-Jensen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the increased use of genetic modifications in crop improvement, there is a need to develop effective methods for the detection of both known and unknown transgene constructs in plants. We have developed a strategy for detection and characterization of unknown genetic modifications and we present a proof of concept for this method using Arabidopsis thaliana and Oryza sativa (rice). The approach relies on direct hybridization of total genomic DNA to high density microarrays designed to have probes tiled throughout a set of reference sequences.

resultsWe show that by using arrays with 25 basepair probes covering both strands of a set of 235 vectors (2 million basepairs) we can detect transgene sequences in transformed lines of A. thaliana and rice without prior knowledge about the transformation vectors or the T-DNA constructs used to generate the studied plants.

conclusionThe approach should allow the user to detect the presence of transgene sequences and get sufficient information for further characterization of unknown genetic constructs in plants. The only requirements are access to a small amount of pure transgene plant material, that the genetic construct in question is above a certain size (here >/= 140 basepairs) and that parts of the construct shows some degree of sequence similarity with published genetic elements.

Indexed as

ArabidopsisBase SequenceChromosome MappingDNA Mutational AnalysisDNA, PlantDNA ProbesMolecular Sequence DataOligonucleotide Array Sequence AnalysisOryzaSequence Analysis, DNADNA, PlantDNA Probes

Identifiers

PMID18088429
PMCPMC2225397

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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.