Evidence map›Paper›PMID 41772747›Full record

ReviewThe plant genome2026

The mirage of DNA methylation in transcriptional regulation of plants.

Peter Civan, Iris Sammarco, Meriem Banouh

Abstract readReview
In one paragraph

Review in The plant genome, 2026. 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. 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.

Peter CivanINRAE/UCA UMR 1095, Clermont-Ferrand, France.ORCID https://orcid.org/0000-0002-0273-3801
Iris SammarcoInstitute of Botany, Czech Academy of Sciences, Průhonice, Czechia.ORCID https://orcid.org/0000-0002-4101-6223
Meriem BanouhINRAE/UCA UMR 1095, Clermont-Ferrand, France.

Funding

Grantová Agentura České Republiky GACR 23-04749SINRAE BAP departmentInstitut Carnot Plant2ProISITE CAP20-25
6 · The paper itself

Abstract

"Cytosine methylation plays an important role in the regulation of gene expression in plants." Some iteration of this statement can be found in most papers centered on plant epigenetics and has become a widely accepted textbook claim. However, our generalized understanding of how DNA methylation exerts control over transcription is now challenged by observations demonstrating that transcriptional levels of most genes are unresponsive to DNA methylation changes. On a genome-wide scale, associations between DNA methylation and transcription are usually statistically weak. Even when correlations are found, the cause and effect can be difficult to identify, as methylation changes sometimes follow rather than precede transcriptional changes. While a growing number of studies explore a possible connection between differentially expressed genes (DEGs) and differentially methylated genes (DMGs), we demonstrate here that DEG-DMG overlaps are often significantly smaller than what could be expected by chance. This indicates that, contrary to expectations, changes in DNA methylation and changes in transcription sometimes avoid one another. Here, we discuss such observations and their implications for the hypothesis of a widespread control of gene expression directly by DNA methylation. While there are well-documented examples where DNA methylation regulates transcription, we argue that such cases represent a minority of genes, and we opine that approaches of reverse epigenetics are therefore unlikely to find broad application in breeding.

Indexed as

DNA MethylationGene Expression Regulation, PlantPlantsTranscription, GeneticEpigenesis, Genetic

Identifiers

PMID41772747
PMCPMC12953739

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.