Evidence map›Paper›PMID 40131555›Full record

ArticleFunctional & integrative genomics2025

Comprehensive study of tRNA-derived fragments in plants for biotic stress responses.

Supriya P Swain, Niyati Bisht, Shailesh Kumar

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. New Sights into Bioinformatics of Gene Regulations and Structure.International journal of molecular sciences · 2025
    Article
  3. RNA interference shapes stress responses inFrontiers in plant science · 2025
    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

3 authors.

Supriya P Swain *Bioinformatics Lab, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
Niyati Bisht *Bioinformatics Lab, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
Shailesh KumarBioinformatics Lab, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India. shailesh@nipgr.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant growth and development are often disrupted by biological stressors as they interfere with the regulatory pathways. Among the key regulators, transfer-RNA-derived fragments (tRFs) have emerged as key players in plant defense mechanisms. While tRF-mediated responses to abiotic stress have been well studied, their role in biotic stress remains less understood, as various stressors may elicit different regulatory systems. In this study, tRF-mediated biotic responses in three species, viz. Arabidopsis thaliana, Oryza sativa, and Solanum lycopersicum are investigated using in-silico approaches. Analysis of predicted tRFs across various biotic stress conditions reveals specific interactions with mRNA targets, microRNAs (miRNAs), and transposable elements (TEs), highlighting their regulatory significance in plant adaptation mechanisms. These findings provide new insights into tRF-mediated stress responses and establish a computational framework for further functional studies. The study's database is publicly available at http://www.nipgr.ac.in/PbtRFdb .

Indexed as

ArabidopsisOryzaRNA, PlantRNA, TransferSolanum lycopersicumStress, PhysiologicalDNA Transposable ElementsGene Expression Regulation, PlantMicroRNAsRNA, MessengerDNA Transposable ElementsMicroRNAsRNA, MessengerRNA, PlantRNA, TransferBiotic stressGenome regulationPlant databaseStress responseTncRNAsTRFsTRNA fragments

Identifiers

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.