Evidence map›Paper›PMID 42485343›Full record

ArticlePLoS genetics2026

Photoperiodic patterns in miRNA-mRNA pairs and tRNA fragments revealed by time-course co-sequencing in Arabidopsis.

Chun Chung Leung, Daniel A Tarté, Joshua M Gendron

Abstract read
In one paragraph

Article in PLoS genetics, 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

3 authors.

Chun Chung LeungDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-3181-8281
Daniel A TartéDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-0379-7612
Joshua M GendronDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0001-8605-3047

Funding

Protein degradation mechanisms that regulate daily and seasonal timingR35GM128670 · NIGMS · YALE UNIVERSITY · PI Joshua Martin Gendron · 2018 to 2026
$4.0M
NIGMS NIH HHS R35 GM128670
6 · The paper itself

Abstract

In plants, the response to photoperiod is marked by global reprogramming of gene expression that drives extensive developmental changes. Small RNAs (sRNAs) play important roles in this process, but a comprehensive characterization of micro RNAs (miRNAs) and the more recently recognized transfer RNA fragments (tRFs) within this context is lacking. Herein, we characterize the patterns of miRNAs and tRFs in Arabidopsis by performing time-course sRNA-sequencing across three photoperiods. By comparing with our previous messenger RNA (mRNA) sequencing time-courses, we identified positively- or inversely-correlated miRNA-mRNA pairs between the two co-sequenced datasets that suggest photoperiodic sRNA regulations. Furthermore, we revealed 20 patterns of photoperiodic tRFs. These patterns are linked to the transfer RNA (tRNA) isotypes and positions they derive from, suggesting that tRFs are subjected to photoperiodic regulation. Finally, we present a major update to our web-app "Photo-Graph," (http://gendron-lab.shinyapps.io/PhotoGraph) featuring new visualizations of this mRNA-sRNA co-sequencing dataset. In summary, our findings indicate that plants regulate sRNAs within a diel cycle in a photoperiodic manner and form highly-correlated pairs with mRNAs.

Indexed as

ArabidopsisMicroRNAsPhotoperiodRNA, MessengerRNA, TransferGene Expression Regulation, PlantRNA, PlantSequence Analysis, RNAMicroRNAsRNA, MessengerRNA, PlantRNA, Transfer

Identifiers

PMID42485343
PMCPMC13390833

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Registered trials

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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.