Evidence map›Paper›PMID 41700090›Full record

ArticleNucleic acids research2026

Gene body methylation buffers noise in gene expression in plants.

Jakub Zastąpiło, Robyn A Emmerson, Liudmila A Mikheeva, Marco Catoni, Ulrike Bechtold, Nicolae Radu Zabet

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

6 authors.

Jakub ZastąpiłoSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.
Robyn A EmmersonSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Liudmila A MikheevaDepartment of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London SE1 9RT, United Kingdom.
Marco CatoniSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.ORCID 0000-0002-3258-2522
Ulrike BechtoldSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.
Nicolae Radu ZabetSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.ORCID 0000-0001-9964-6271

Funding

BBSRC BB/019819/1BBSRC BB/W008866/1Queen Mary University of LondonUniversity of Essex
6 · The paper itself

Abstract

Non-genetic variability in gene expression is an inevitable consequence of the stochastic nature of processes driving transcription and translation. While previous studies demonstrated that gene expression noise is negatively correlated with gene body methylation, the function of this correlation remains poorly understood in multicellular systems. Here, we provide a first functional link between gene body methylation and transcription noise in plants. We investigated a mutant with partial loss of CG methylation (met1-1) and 10 epigenetic recombinant inbred lines (epiRILs) generated by a cross between Col-0 and met1-3 plants, and observed an increase in gene expression noise, but this was not the case in met1-3 with complete loss of CG methylation. Loss of CG methylation in met1-3 could be compensated by a low but significant gain of non-CG methylation that buffers the noise in gene expression. Overall, our results show that gene body methylation has a functional role in reducing variability in transcription in a large subset of housekeeping genes, which require precise expression patterns to meet metabolic requirements. Genes lacking this noise-buffering effect are mainly enriched in stress response, where variability in gene expression can be seen as highly beneficial.

Indexed as

ArabidopsisDNA MethylationGene Expression Regulation, PlantEpigenesis, GeneticGenes, PlantMutationTranscription, Genetic

Identifiers

PMID41700090
PMCPMC12910109

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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.