Evidence map›Paper›PMID 37166587›Full record

ArticleTransgenic research2023

The potential of metabolomics in assessing global compositional changes resulting from the application of CRISPR/Cas9 technologies.

Margit Drapal, Eugenia M A Enfissi, Juliana Almeida, Elzbieta Rapacz, Marilise Nogueira, Paul D Fraser

Abstract read
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In one paragraph

Article in Transgenic research, 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 25% 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

6 authors at 1 institution in 1 country.

Margit DrapalDepartment of Biological Sciences, Royal Holloway University of London, Egham, UK.
Eugenia M A EnfissiDepartment of Biological Sciences, Royal Holloway University of London, Egham, UK.
Juliana AlmeidaLongPing High-Tech, Rodovia SP330, Brazil.
Elzbieta RapaczDepartment of Biological Sciences, Royal Holloway University of London, Egham, UK.
Marilise NogueiraDepartment of Biological Sciences, Royal Holloway University of London, Egham, UK.
Paul D FraserDepartment of Biological Sciences, Royal Holloway University of London, Egham, UK. P.Fraser@rhul.ac.uk.
Royal Holloway University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exhaustive analysis of genetically modified crops over multiple decades has increased societal confidence in the technology. New Plant Breeding Techniques are now emerging with improved precision and the ability to generate products containing no foreign DNA and mimic/replicate conventionally bred varieties. In the present study, metabolomic analysis was used to compare (i) tobacco genotypes with and without the CRISPR associated protein 9 (Cas9), (ii) tobacco lines with the edited and non-edited DE-ETIOLATED-1 gene without phenotype and (iii) leaf and fruit tissue from stable non-edited tomato progeny with and without the Cas9. In all cases, multivariate analysis based on the difference test using LC-HRMS/MS and GC-MS data indicated no significant difference in their metabolomes. The variations in metabolome composition that were evident could be associated with the processes of tissue culture regeneration and/or transformation (e.g. interaction with Agrobacterium). Metabolites responsible for the variance included quantitative changes of abundant, well characterised metabolites such as phenolics (e.g. chlorogenic acid) and several common sugars such as fructose. This study provides fundamental data on the characterisation of gene edited crops, that are important for the evaluation of the technology and its assessment. The approach also suggests that metabolomics could contribute to routine product-based analysis of crops/foods generated from New Plant Breeding approaches.

Indexed as

CRISPR-Cas SystemsCrops, AgriculturalMetabolomicsPlant BreedingPlants, Genetically ModifiedCas9Metabolite analysisN. tabacumS. lycopersicumStable genetic transformation

Identifiers

PMID37166587
OpenAlexW4376133210

What OpenQuestion holds

Textmetadata
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.