Evidence map›Paper›PMID 39722567›Full record

ArticlePlant, cell & environment2025

Short-Term High Light Stress Analysis Through Differential Methylation Identifies Root Architecture and Cell Size Responses.

Akshay U Nair, Hardik S Kundariya, Devidutta Samantaray, Isaac J Dopp, Annapurna Devi Allu, Sally A Mackenzie

Abstract read
In one paragraph

Article in Plant, cell & environment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Akshay U NairDepartments of Biology and Plant Science, Pennsylvania State University, State College, Pennsylvania, USA.ORCID http://orcid.org/0000-0002-9980-891X
Hardik S KundariyaDepartments of Biology and Plant Science, Pennsylvania State University, State College, Pennsylvania, USA.
Devidutta SamantarayDepartments of Biology and Plant Science, Pennsylvania State University, State College, Pennsylvania, USA.ORCID http://orcid.org/0000-0003-4376-8741
Isaac J DoppDepartments of Biology and Plant Science, Pennsylvania State University, State College, Pennsylvania, USA.
Annapurna Devi AlluDepartment of Biology, Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati, Andhra Pradesh, India.ORCID http://orcid.org/0000-0003-2551-3913
Sally A MackenzieDepartments of Biology and Plant Science, Pennsylvania State University, State College, Pennsylvania, USA.ORCID http://orcid.org/0000-0003-2077-5607

Funding

Modeling stress-induced, de novo epiallele architecture in the model Arabidopsis as a tractable entrypointR01GM134056 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI MACKENZIE, SALLY A · 2019 to 2022
$1.3M
NIGMS NIH HHS R01 GM134056This work was supported by a Fulbright scholarship to A.U.N. and D.S., and by a grant from the NIHGMS (R01 GM134056-01) to S.A.M.
6 · The paper itself

Abstract

DNA methylation repatterning is an epigenomic component of plant stress response, but the extent that methylome data can elucidate changes in plant growth following stress onset is not known. We applied high-resolution DNA methylation analysis to decode plant responses to short- and long-term high light stress and, integrating with gene expression data, attempted to predict components of plant growth response. We identified 105 differentially methylated genes (DMGs) following 1 h of high light treatment and 193 DMGs following 1 week of intermittent high light treatment. Two distinct methylome-predicted plant growth responses to high light treatment could be confirmed by linking methylome changes in auxin response pathways to observed changes in root architecture and methylome changes in cell cycle pathway components to endoreduplication and palisade cell enlargement. We observed methylome changes in a cyclic GMP-dependent protein kinase in association with high light stress signalling. The ability to associate intragenic methylation repatterning with predictable plant phenotypic outcomes after a limited period of high light treatment allows for data-based early prediction of plant growth responses. The approach also permits the dissection of gene networks underpinning plant growth adjustments during environmental change to uncover dynamic phenotype determinants.

Indexed as

ArabidopsisDNA MethylationLightPlant RootsStress, PhysiologicalCell SizeGene Expression Regulation, Plant

Identifiers

PMID39722567
PMCPMC11963490

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.