Evidence map›Paper›PMID 37822547›Full record

ArticleFood chemistry. Molecular sciences2023

Reproducibility of next-generation-sequencing-based analysis of a CRISPR/Cas9 genome edited oil seed rape.

Steffen Pallarz, Stefan Fiedler, Daniela Wahler, Jörn Lämke, Lutz Grohmann

Open access · goldAbstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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

5 authors at 1 institution in 1 country.

Steffen PallarzDepartment Genetic Engineering and Other Biotechnological Processes, Federal Office of Consumer Protection and Food Safety (BVL), P.O. Box 110260, 10832 Berlin, Germany.
Stefan FiedlerDepartment Method Standardisation, Reference Laboratories, Resistance To Antibiotics, Federal Office of Consumer Protection and Food Safety (BVL), P.O. Box 110260, 10832 Berlin, Germany.
Daniela WahlerDepartment Genetic Engineering and Other Biotechnological Processes, Federal Office of Consumer Protection and Food Safety (BVL), P.O. Box 110260, 10832 Berlin, Germany.
Jörn LämkeDepartment Method Standardisation, Reference Laboratories, Resistance To Antibiotics, Federal Office of Consumer Protection and Food Safety (BVL), P.O. Box 110260, 10832 Berlin, Germany.
Lutz GrohmannDepartment Genetic Engineering and Other Biotechnological Processes, Federal Office of Consumer Protection and Food Safety (BVL), P.O. Box 110260, 10832 Berlin, Germany.
Federal Office of Consumer Protection and Food Safety · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation-sequencing (NGS) becomes increasingly important for laboratories tasked with the detection of genetically modified organisms (GMOs) in food, feed and seeds. Its implementation into standardized workflows demands reliable intra- and inter-laboratory reproducibility. Here, we analyze the reproducibility of short- and long-read targeted NGS and long-read whole genome sequencing (WGS) data between three independent laboratories. Replicate samples were submitted for sequencing and comparatively analyzed. The targeted-NGS-samples consisted of oil seed rape (OSR) sampled from a commodity shipment spiked with a genome edited (GE) OSR and the WGS-samples consisted of leaf material from the GMOs' parental line. All laboratories delivered highly reproducible high-quality targeted NGS data with little variation. The detection of GMO-related sequences works well regardless of the facility, while the mapping to the complex genome is superior using long read data. Long read WGS is currently not suitable for routine use in enforcement laboratories, due to a large inter-laboratory variation.

Indexed as

DetectionGE (Gene Editing)GMO (Genetically Modified Organism)NGS data qualityNGS reproducibilityNGT (New Genomic Techniques)

Identifiers

PMID37822547
PMCPMC10562171
OpenAlexW4386609822

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.