Evidence map›Paper›PMID 41155427›Full record

ReviewInternational journal of molecular sciences2025

Mechanism and Application of Developmental Factors in Plant Genetic Transformation.

Lixin Zhang, Fang Wang, Biao Luo, Na Chen, Yan Wang, Xianwen Zhang

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Genome-Wide Identification of thePlants (Basel, Switzerland) · 2026
    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.

Lixin ZhangInstitute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Fang WangInstitute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Biao LuoInstitute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.ORCID 0009-0001-3700-6268
Na ChenInstitute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Yan WangInstitute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Xianwen ZhangInstitute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.

Funding

Zhejiang Science and Technology Major 415 Program on Agricultural New Variety Breeding 2021C02064-6
6 · The paper itself

Abstract

Genetic transformation serves as a critical tool for gene function research and crop improvement. However, its efficiency is often low and highly dependent on species, genotypes, and explant types, significantly restricting its broader application. Many developmental factors have been proven pivotal not only for plant growth and development but also for the regulation of callus formation and shoot regeneration, which are key steps in the process of genetic transformation. Thus, this review focuses on the application of developmental factors in enhancing transformation efficiency across species. Developmental factors are classified into four regulatory pathways: morphogenesis, wound signaling, epigenetic modification, and hormone signaling. Among them, morphogenic factors have been extensively studied for enhancing transformation efficiency, while the potential of the other three pathways remains less explored in species beyond

Indexed as

Plant DevelopmentPlantsPlants, Genetically ModifiedTransformation, GeneticEpigenesis, GeneticGene Expression Regulation, PlantPlant Growth RegulatorsSignal TransductionPlant Growth Regulatorscallus formationdevelopmental factorsgenetic transformationshoot regenerationtransformation efficiency

Identifiers

PMID41155427
PMCPMC12564847

What OpenQuestion holds

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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.