Evidence map›Paper›PMID 42008014›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Exploring the CeRNA landscape in plants: advances, methods, and challenges.

Aijing Zhang, Wenxuan Pi, Weixing Chen, Ying Li, Jian Wei, Lichun Wang, Meng Wang, Dan Yao

Abstract readReview
PubMed Publisher
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 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

8 authors.

Aijing ZhangCollege of Life Science, Jilin Agricultural University, Changchun, Jilin, China.
Wenxuan PiCollege of Life Science, Jilin Agricultural University, Changchun, Jilin, China.
Weixing ChenCollege of Life Science, Jilin Agricultural University, Changchun, Jilin, China.
Ying LiJilin Provincial Agricultural Technology Extension Station, Changchun, Jilin, China.
Jian WeiCollege of Agronomy, Jilin Agricultural University, Changchun, Jilin, China.
Lichun WangJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun, Jilin, China. wlc1960@163.com.
Meng WangJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun, Jilin, China. wangmeng0703@163.com.
Dan YaoCollege of Life Science, Jilin Agricultural University, Changchun, Jilin, China. dyao@jlau.edu.cn.ORCID http://orcid.org/0000-0001-6427-3110

Funding

the Jilin Provincial Department of Science and Technology project 20240601083RCthe National Key Research and Development project 2023YFD2301705
6 · The paper itself

Abstract

From animals to plants, the proposed competing endogenous RNAs (ceRNAs) mechanism has expanded our understanding of gene regulation, suggesting a complex "communication network" involving RNA molecules. In plant gene regulation, ceRNAs studies are increasingly uncovering new insights into the precision and complexity of the mechanisms controlling gene expression. Research suggests that ceRNAs may play critical fine-tuning roles in plant life activities, ranging from growth and development to stress responses. However, plant ceRNAs appear to differ from animal ceRNAs in terms of sequence characteristics, interaction modes, and functions. This review provides an overview on the research conducted to date on plant ceRNAs, revealing key differences between animals and plants and summarizing the progress in research on the relationships between ceRNAs and stress responses (e.g., drought, salinity, and disease) as well as signal transduction and hormone regulation. Moreover, research methods that combine cutting-edge technologies (such as single-cell sequencing and spatial transcriptomics) with multi-omics tools to comprehensively investigate plant ceRNAs are discussed. Our analysis indicates that ceRNAs networks are characterized by plant-specific features, posing distinct research challenges. These range from the limited predictive accuracy of existing bioinformatics tools to the difficulties in functional validation within complex plant tissues. To overcome these hurdles, we propose that future research must prioritize the creation of plant-optimized prediction models and the integration of multi-omics data within a spatially resolved context. Ultimately, unraveling plant ceRNAs networks will not only fill a critical knowledge gap in post-transcriptional regulation, but also unlock novel strategies for crop improvement.

Indexed as

Gene Expression Regulation, PlantPlantsRNA, Competitive EndogenousRNA, PlantGene Regulatory NetworksStress, PhysiologicalRNA, Competitive EndogenousRNA, Plant

Identifiers

PMID42008014

What Socratic holds

Textmetadata
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.