Evidence map›Paper›PMID 42292963›Full record

ArticleHorticulture research2026

Mechanisms underlying green flower formation.

Xu Li, Conghao Hong, Hao Li, Sijia Hou, Qingqing Sun, Youyi Zang, Guorun Sun, Zhimin Huang, Hongbo Gao

Abstract read
In one paragraph

Article in Horticulture research, 2026. 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. Transcriptome-Based Identification ofPlants (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

9 authors.

Xu LiNational Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Conghao HongNational Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Hao LiNational Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Sijia HouNational Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Qingqing SunNational Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Youyi ZangNational Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Guorun SunNational Peony Gene Bank, Luoyang, Henan Province 471002, China.
Zhimin HuangNational Peony Gene Bank, Luoyang, Henan Province 471002, China.
Hongbo GaoNational Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.ORCID https://orcid.org/0000-0002-4657-0725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green flowers are uncommon in nature, yet they present a unique opportunity to explore the molecular, developmental, and evolutionary principles underlying floral pigmentation. While most species undergo petal degreening during maturation, some retain chlorophyll through suppressed degradation, sustained synthesis, or altered plastid differentiation. Here, we synthesize recent advances in understanding the molecular basis of green flower formation, integrating evidence from plastid biology, chlorophyll metabolism, transcription factor regulation, and floral organ identity genes. Research across diverse taxa reveals that chlorophyll homeostasis in petals is shaped by the interplay of light and hormonal signals, and orchestrated by transcriptional networks. In certain instances, homeotic transformations result in leaf-like characteristics. Naturally occurring variants, as well as engineered lines, offer powerful systems to dissect how developmental programs governing organ identity intersect with pigment metabolism. Green flowers also hold distinct ornamental and cultural value, expanding their relevance beyond ecological function. By tracing progress from morphological observations to multi-omics analyses, we highlight how this field is beginning to uncover shared regulatory frameworks and lineage-specific innovations. In the future, targeted manipulation of key regulatory nodes could enable the precise breeding of stable green blooms, while comparative studies promise deeper insights into how pigment pathways evolve and integrate with broader developmental networks. Understanding these processes will not only enrich floral biology but also enhance our ability to intentionally design and diversify plant phenotypes.

Identifiers

PMID42292963
PMCPMC13254202

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.