Evidence map›Paper›PMID 40860731›Full record

ReviewFrontiers in plant science2025

Non-coding RNA-mediated regulation of seed endosperm development.

Xinqi Wei, Huanhuan Wang, Kaifeng Zheng, Shengcheng Han, Fanfan Zhang

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 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. Review
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.

Xinqi WeiKey Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Science, Beijing Normal University, Beijing, China.
Huanhuan WangBeijing Key Laboratory of Gene Resources and Molecular Development, College of Life Science, Beijing Normal University, Beijing, China.
Kaifeng ZhengBeijing Key Laboratory of Gene Resources and Molecular Development, College of Life Science, Beijing Normal University, Beijing, China.
Shengcheng HanBeijing Key Laboratory of Gene Resources and Molecular Development, College of Life Science, Beijing Normal University, Beijing, China.
Fanfan ZhangKey Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Science, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endosperm, a triploid nutritive tissue in seeds, plays pivotal roles in embryo development, grain yield and quality. Recent advances highlight non-coding RNAs (ncRNAs) as central regulators of endosperm development, which integrate epigenetic, transcriptional, and post-transcriptional mechanisms. Small RNAs (sRNAs), including microRNAs and small interfering RNAs, regulate endosperm cell proliferation, starch biosynthesis, and genomic dosage response by modulating hormonal pathways, metabolic processes, and transposon silencing. Long non-coding RNAs (lncRNAs) contribute to cellularization, nutrient accumulation, and genomic imprinting via chromatin remodeling, gene expression regulation, or interactions with sRNAs. Despite growing evidence of their roles, functional characterization of ncRNAs in endosperm biology remains limited, with many regulatory mechanisms unresolved. This review synthesizes current insights into ncRNA-driven processes governing endosperm development, emphasizing the potential of ncRNAs as targets for crop improvement. Future research should prioritize functional validation of ncRNAs networks and their integration with multi-omics approaches to unlock novel strategies for precision breeding and grain trait optimization.

Indexed as

endosperm developmentlong non-coding RNAnon-coding RNAseedsmall RNA

Identifiers

PMID40860731
PMCPMC12370766

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.