Evidence map›Paper›PMID 41902468›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Evolutionary Assembly and Future Design of Gibberellin Signaling.

Weishu Fan, Xihan Chen, Dan Li, Xiuhua Gao, Xiangdong Fu

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Weishu FanState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0003-3688-5325
Xihan ChenState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Dan LiState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Xiuhua GaoState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Xiangdong FuState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-9285-7543

Funding

National Natural Science Foundation of China 32370282National Natural Science Foundation of China 32588101New Cornerstone Investigation Program NCI202234Youth Innovation Promotion Association CAS 2023408
6 · The paper itself

Abstract

Gibberellin (GA) signaling is widely regarded as a canonical hormone-controlled growth pathway, yet accumulating evidence suggests that it emerged through stepwise evolutionary assembly rather than as a pre-formed regulatory system. Here, we revisit the origin and diversification of the GA pathway from an evolutionary perspective. DELLA-mediated growth repression arose during early land plant evolution and was later integrated into a hormone-responsive framework following the establishment of GA biosynthesis and perception. The emergence of the receptor GID1 completed the core GA-GID1-DELLA module, enabling dynamic hormonal control of plant growth. Subsequent diversification of this module underpinned key agricultural innovations, including the semi-dwarf traits of the Green Revolution. However, manipulation of GA signaling also exposed trade-offs, particularly between reduced plant height and nitrogen use efficiency (NUE). Recent advances reveal additional regulatory nodes linking GA signaling to metabolic and stress-responsive networks, highlighting the importance of precise hormonal fine-tuning. Looking forward, we propose that integrating comparative genomics, structural biology, protein language models, and artificial intelligence may enable rational rewiring of GA signaling, providing a blueprint for engineering climate-resilient and resource-efficient crops.

Indexed as

Biological EvolutionGibberellinsPlant DevelopmentPlant Growth RegulatorsSignal TransductionGibberellinsPlant Growth RegulatorsAI‐driven crop designdirected evolutionGibberellin signalingnitrogen use efficiency

Identifiers

PMID41902468
PMCPMC13104107

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.