ReviewThe Plant cell2025
Noncoding RNAs as tools for advancing translational biology in plants.
Review in The Plant cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Review
- Article
- Phyllosphere microbiome responses to spray-induced gene silencing targeting Phytophthora infestans in potato.NPJ biofilms and microbiomes · 2026Article
- Exploring the CeRNA landscape in plants: advances, methods, and challenges.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Transcriptome analysis reveals long noncoding RNAs involved in the tuber anthocyanin synthesis of potato (Solanum tuberosum L.).BMC plant biology · 2026Article
- In vivo RNA structure influences the translation and stability of plant long non-coding RNAs.Plant communications · 2026Article
- Transcriptome-wide identification and expression analysis of lncRNAs involved in the nitrate response in wheat.BMC plant biology · 2025Article
- Ring of resistance: Circular RNA Os-CircANK sequesters miR398b to counter rice blast resistance.The Plant cell · 2025Article
- Focus on Translational Research from Arabidopsis to Crop Plants and Beyond.The Plant cell · 2025Article
- CLnc-Pred: A Machine Learning Approach to Predict Long Non-Coding RNAs in Crops.Current genomics · 2025Article
- Non-coding RNA-mediated regulation of seed endosperm development.Frontiers in plant science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Noncoding RNAs (ncRNAs), once considered the "dark matter" of the genome, have emerged as critical regulators of gene expression in plants. Research initially focused on model organisms has laid the groundwork for harnessing the potential of ncRNAs in agriculture, particularly for crop protection, improvement, and modulation. This review explores the role of long and small ncRNAs in plant biology, highlighting their application as powerful tools in agricultural biotechnology. We examine the latest strategies for ncRNA expression and delivery in crops, including transgenic and nontransgenic approaches, as well as emerging technologies that enable precise and efficient modulation of gene activity in plants and pathogens. Additionally, we provide a comprehensive overview of the current state-of-the-art in the regulation of RNA-based products, addressing the challenges and opportunities for integrating these innovations into sustainable agricultural practices. As the regulatory landscape evolves, understanding the safety, efficacy, and environmental impact of ncRNA-based technologies will be crucial for their successful deployment. By leveraging the advances in plant science research, long and small ncRNAs hold promise for designing highly specific tools to boost crop productivity while preserving genetic diversity, contributing to global food security and sustainable agriculture.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.