Evidence map›Paper›PMID 40408566›Full record

ReviewPlant biotechnology journal2025

Non-coding RNAs in plant stress responses: molecular insights and agricultural applications.

Xiaotong Chen, Zhaohui Chen, Ryan Watts, Hong Luo

Abstract readReview
In one paragraph

Review in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

4 authors.

Xiaotong ChenDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, USA.
Zhaohui ChenDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, USA.
Ryan WattsDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, USA.
Hong LuoDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, USA.ORCID https://orcid.org/0000-0001-9223-1786

Funding

National Institute of Food and Agriculture 2019-33522-30102National Institute of Food and Agriculture 2021-33522-35342National Institute of Food and Agriculture 2024-33522-43691National Science Foundation 2005030
6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) have emerged as crucial regulators in plant responses to environmental stress, orchestrating complex networks that finetune gene expression under both abiotic and biotic challenges. To elucidate this intricate ncRNA crosstalk, this review comprehensively summarizes recent advances in understanding the mechanisms of key regulatory ncRNAs including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), tRNA derived fragments (tRFs) and small interfering RNAs (siRNAs) in mediating plant adaptations to stress conditions. We discuss molecular insights into how these ncRNAs modulate stress signalling pathways, control hormonal responses and interact through elaborate crosstalk mechanisms. We also emphasize emerging biotechnological strategies that leverage both innate and artificial ncRNAs as well as potential approaches for finetuning ncRNA levels to engineer stress-resilient crops. Collectively, continued advances in high-throughput sequencing, functional genomics and computational modelling will deepen our understanding of ncRNA network mediated stress responses, ultimately guiding the design of robust climate-resilient crops.

Indexed as

Crops, AgriculturalRNA, PlantRNA, UntranslatedStress, PhysiologicalAgricultureGene Expression Regulation, PlantMicroRNAsRNA, Long NoncodingMicroRNAsRNA, Long NoncodingRNA, PlantRNA, Untranslatedbiotic and abiotic stresscircRNAlncRNAmcroRNAnon‐coding RNAsiRNA

Identifiers

PMID40408566
PMCPMC12310845

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.