Evidence map›Paper›PMID 40545632›Full record

ArticlePlant biotechnology journal2025

Application of a GRF-GIF chimera enhances plant regeneration for genome editing in tomato.

Gwen Swinnen, Eléonore Lizé, Miguel Loera Sánchez, Stéphanie Stolz, Sebastian Soyk

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2025. 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

5 authors.

Gwen Swinnen *Department of Plant Molecular Biology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-4438-0098
Eléonore Lizé *Department of Plant Molecular Biology, University of Lausanne, Lausanne, Switzerland.
Miguel Loera SánchezDepartment of Plant Molecular Biology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-1395-9849
Stéphanie StolzDepartment of Plant Molecular Biology, University of Lausanne, Lausanne, Switzerland.
Sebastian SoykDepartment of Plant Molecular Biology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-0325-4404

Funding

European Research Council 802008Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_212218
6 · The paper itself

Abstract

Genome editing has become a routine tool for functionally characterizing plant and animal genomes. However, stable genome editing in plants remains limited by the time- and labour-intensive process of generating transgenic plants, as well as by the efficient isolation of desired heritable edits. In this study, we evaluated the impact of the morphogenic regulator GRF-GIF on plant regeneration and genome editing outcomes in tomato. We demonstrate that expressing a tomato GRF-GIF chimera reliably accelerates the onset of shoot regeneration from callus tissue culture by approximately one month and nearly doubles the number of recovered transgenic plants. Consequently, the GRF-GIF chimera enables the recovery of a broader range of edited haplotypes and simplifies the isolation of mutants harbouring heritable edits, but without markedly interfering with plant growth and development. Based on these findings, we outline strategies that employ basic or advanced diagnostic pipelines for efficient isolation of single- and higher-order mutants in tomato. Our work represents a technical advantage for tomato transformation and genome editing, with potential applications across other Solanaceae species.

Indexed as

Gene EditingPlant ProteinsRegenerationSolanum lycopersicumGenome, PlantPlants, Genetically ModifiedPlant ProteinsCRISPR‐Casgenome editingGRF‐GIFmorphogenic regulatorplant transformationSolanum lycopersicum

Identifiers

PMID40545632
PMCPMC12392962

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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.