Evidence map›Paper›PMID 39976851›Full record

ReviewMolecular biology reports2025

Non-coding RNAs and their role in plants: prospective omics-tools for improving growth, development and stress tolerance in field crops.

Tanzeel Bashir, Amjad M Husaini

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 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

2 authors.

Tanzeel BashirGenome Engineering and Societal Biotechnology Lab, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Jammu and Kashmir, India.
Amjad M HusainiGenome Engineering and Societal Biotechnology Lab, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Jammu and Kashmir, India. amjadhusaini@skuastkashmir.ac.in.ORCID http://orcid.org/0000-0003-1293-3118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants, as sessile organisms, must adapt to dynamic environmental changes through a range of response strategies that confer phenotypic flexibility. Breakthroughs in next-generation sequencing technologies have led to significant improvements in our understanding of the genomic and molecular mechanisms underlying plant growth, development and stress responses. Non-coding RNAs (ncRNAs), have emerged as pivotal regulators in these processes. This article reviews the roles of regulatory ncRNAs in plant stress responses and development, highlighting their intricate molecular interactions. It presents a comprehensive atlas of differentially regulated ncRNAs across key crop genomes, enhancing our understanding of their roles in stress responses, growth, and development. The atlas presented herein offers a foundation for further research in agronomically important crops, paving the way for crop improvement through genetic engineering and sustainable agricultural practices. Additionally, we discuss the role of ncRNAs that have already been functionally characterized in growth, development and stress tolerance, providing insights into their potential for developing stress-resistant and high-yielding crops.

Indexed as

Crops, AgriculturalPlant DevelopmentRNA, UntranslatedStress, PhysiologicalGene Expression Regulation, PlantGenome, PlantGenomicsRNA, PlantRNA, PlantRNA, UntranslatedCerealsCrop improvementGene regulationNon-coding RNAs (ncRNAs)Plant stress

Identifiers

What OpenQuestion 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 OpenQuestion graph.