Evidence map›Paper›PMID 41834248›Full record

ArticleJournal of integrative plant biology2026

SlGRF1 mediates gibberellin signaling to control cut-budding in tomato.

Yaping Xu, Yinhuan Xie, Huimin Jia, Qianqian Li, Xinqin Liu, Ting Ma, Zhaobo Lang, Qingfeng Niu

Abstract read
In one paragraph

Article in Journal of integrative plant biology, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  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

8 authors.

Yaping XuNational Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.ORCID https://orcid.org/0009-0004-3895-2231
Yinhuan XieNational Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.ORCID https://orcid.org/0009-0009-1255-1559
Huimin JiaCollege of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China.ORCID https://orcid.org/0000-0002-3177-9761
Qianqian LiNational Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.ORCID https://orcid.org/0009-0005-5182-8240
Xinqin LiuNational Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.ORCID https://orcid.org/0009-0008-3243-511X
Ting MaNational Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.ORCID https://orcid.org/0000-0002-4581-3385
Zhaobo LangSchool of Life Sciences, Institute of Advanced Biotechnology, Southern University of Science and Technology, Shenzhen, 518055, China.ORCID https://orcid.org/0000-0002-5551-0126
Qingfeng NiuNational Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.ORCID https://orcid.org/0000-0001-6498-5265

Funding

Jiangxi Provincial Natural Science Foundation 20224BAB215028National Natural Science Foundation of China 32270367Office of Education of Anhui Province for Distinguished Young Scholars 2022AH020061
6 · The paper itself

Abstract

Many dicotyledonous plants exhibit considerable developmental plasticity and are capable of regenerating new organs upon wounding. Leveraging this wound-induced cellular pluripotency, a simple, efficient, and genotype-independent "cut-dip-budding" transformation system has been developed in recent years. Although genetic transformation in dicotyledonous crops like tomato is still largely based on tissue culture methods, and research into their molecular regulatory mechanisms and regeneration factors is extensive, the mechanisms underlying cut-induced shoot regeneration (cut-budding) remain poorly understood. This study investigated the molecular basis of cut-budding in tomato, focusing on the role of GROWTH-REGULATING FACTOR1 (GRF1) and its association with gibberellin (GA) signaling. By combining single-cell RNA sequencing, time-course transcriptome analysis, and genetic validation, we elucidated the key stages of shoot regeneration and identified SlGRF1 as a critical regulator. SlGRF1 was revealed to be essential for shoot initiation, with its expression significantly upregulated during cut-budding. Functional characterization using CRISPR/Cas9 knockout mutants (grf1-cr) demonstrated that SlGRF1 is required for pluripotency acquisition and shoot formation. Additionally, GA signaling negatively regulated shoot initiation by repressing SlGRF1 expression. An exogenous GA treatment inhibited shoot regeneration, while a paclobutrazol (GA biosynthesis inhibitor) treatment had the opposite effect. Moreover, grf1-cr mutants were similar to GA1-treated samples in terms of transcriptional changes and phenotypes, further indicating that GA signaling represses SlGRF1 expression. A ChIP-seq analysis showed that SlGRF1 controls cut-budding by activating the expression of shoot apical meristem regulator-encoding genes, including NAM1, EPF4, and ER2. NAM1 overexpression rescued the defective regeneration of grf1-cr1 mutants, highlighting the role of NAM1 as a downstream effector of SlGRF1. The study findings further clarify the molecular mechanisms governing cut-budding in tomato.

Indexed as

GibberellinsPlant ProteinsSignal TransductionSolanum lycopersicumGene Expression Regulation, PlantPlant ShootsRegenerationGibberellinsPlant ProteinsgibberellinNAM1shoot regenerationSlGRF1wounding

Identifiers

PMID41834248
PMCPMC13326998

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.