Evidence map›Paper›PMID 41074390›Full record

ArticleJournal of experimental botany2026

Methylome differences among barley inbreds and their association with genomic, transcriptomic, and phenotypic variation.

Marius Kühl, Po-Ya Wu, Asis Shrestha, Julia Engelhorn, Sohini Mukherjee, Thomas Hartwig, Benjamin Stich

Abstract read
In one paragraph

Article in Journal of experimental botany, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Marius KühlInstitute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf 40225, Germany.ORCID 0009-0009-4600-1782
Po-Ya WuInstitute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf 40225, Germany.ORCID 0000-0002-7342-2867
Asis ShresthaInstitute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf 40225, Germany.ORCID 0000-0003-4878-6965
Julia EngelhornIndependent Research Groups, Max Planck Institute for Plant Breeding Research, Cologne 50829, Germany.ORCID 0000-0002-6680-3012
Sohini MukherjeeIndependent Research Groups, Max Planck Institute for Plant Breeding Research, Cologne 50829, Germany.
Thomas HartwigIndependent Research Groups, Max Planck Institute for Plant Breeding Research, Cologne 50829, Germany.ORCID 0000-0002-2707-2771
Benjamin StichInstitute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf 40225, Germany.ORCID 0000-0001-6791-8068

Funding

Deutsche ForschungsgemeinschaftGermany's Excellence Strategy 39068611Germany's Excellence Strategy EXC 2048/1Julius Kühn Institute
6 · The paper itself

Abstract

Epigenetic variation can play a crucial role in explaining the missing heritability of complex traits. To investigate genome-wide methylation in spring barley (Hordeum vulgare subsp. vulgare), we performed whole genome bisulfite sequencing on 23 parental inbreds from a community resource for genetic mapping. Our objectives were to characterize methylation variation, explore its association with single nucleotide polymorphisms (SNPs), and examine links to gene expression. The barley genome showed high average methylation levels of 88.6%, 58.1%, and 1.4% in the CpG, CHG, and CHH contexts, respectively. We identified nearly 500 000 differentially methylated regions (DMRs), with 64%, 64%, and 83% of DMRs in CpG, CHG, and CHH contexts, respectively, not associated with sequence variation. Around 6% of all DMRs showed significant associations with gene expression, with the direction of the correlations varying based on the DMR's location relative to the gene with a recognizable pattern. We exemplified this association between DNA methylation and gene expression on the known flowering promoting gene VRN-H1, identifying a highly methylated epiallele linked to earlier flowering. Lastly, methylation improved the prediction abilities of genomic prediction models for various traits, outperforming models based solely on SNPs and gene expression. These findings emphasize the independent role of DNA methylation to sequence variation.

Indexed as

DNA MethylationEpigenomeGenome, PlantHordeumTranscriptomeEpigenesis, GeneticPhenotypePolymorphism, Single NucleotideBarleybioinformaticsDNA methylationgene regulationnatural variationplant epigenetics

Identifiers

PMID41074390
PMCPMC12794232

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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.