Evidence map›Paper›PMID 41548556›Full record

ArticleThe Plant journal : for cell and molecular biology2026

Genotype-dependent DNA methylation patterns are negatively associated with allelic variation rather than heat-induced gene expression in two contrasting potato genotypes.

Darren Sheng Gin Yeo, Julia Eydam, Julien Bruckmüller, Friedrich Kauder, Jens Lübeck, Alexander Kaier, Sophia Sonnewald, Uwe Sonnewald

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Article in The Plant journal : for cell and molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Darren Sheng Gin YeoDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstrasse 5, 91058, Erlangen, Germany.ORCID 0000-0002-4538-9828
Julia EydamDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstrasse 5, 91058, Erlangen, Germany.
Julien BruckmüllerSolana Research GmbH, Eichenallee 9, 24340, Windeby, Germany.
Friedrich KauderSolana Research GmbH, Eichenallee 9, 24340, Windeby, Germany.
Jens LübeckSolana Research GmbH, Eichenallee 9, 24340, Windeby, Germany.
Alexander KaierDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstrasse 5, 91058, Erlangen, Germany.
Sophia SonnewaldDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstrasse 5, 91058, Erlangen, Germany.ORCID 0000-0002-9185-6255
Uwe SonnewaldDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstrasse 5, 91058, Erlangen, Germany.

Funding

Bayerisches Staatsministerium für Umwelt und Verbraucherschutz U8793-2021/5-4Bundesministerium für Bildung und Forschung 031B1231A
6 · The paper itself

Abstract

Potato (Solanum tuberosum L.) is an important food crop that is sensitive to high temperatures, which cause major changes in the transcriptome and a reduction in yield. In several plant species, DNA methylation has been reported to influence gene expression, particularly under abiotic stress conditions. However, the role of DNA methylation in regulating gene expression in heat-tolerant and heat-sensitive potato genotypes is still poorly understood. In this study, we conducted genome-wide DNA methylome and transcriptome analyses of leaves from two contrasting potato cultivars, Annabelle (moderately heat-tolerant) and Camel (heat-sensitive), before and after heat stress (HS). Genome-wide differential methylation analysis revealed that most identified differentially methylated regions (DMRs) were constitutive, reflecting variation between cultivars rather than being induced by HS. While thousands of heat-responsive differentially expressed genes (DEGs) were identified, only a small fraction coincided with heat-induced DMRs. Despite substantial constitutive DNA methylation and transcriptome differences between the cultivars, we found no consistent association between DMRs and DEGs, indicating that DNA methylation does not play a widespread direct regulatory role in gene expression. Surprisingly, hypermethylated genomic regions were associated with lower alternative allele frequencies, whereas hypomethylated regions showed the opposite trend. These findings indicate that the potato DNA methylome is largely stable under HS and that constitutive DNA methylation variation contributes rather to genetic diversity than to the direct regulation of gene expression.

Indexed as

DNA MethylationGene Expression Regulation, PlantSolanum tuberosumAllelesGene Expression ProfilingGenetic VariationGenotypeHeat-Shock ResponseHot TemperaturePlant LeavesTranscriptomeallelic variationDNA methylationheat stresspotato

Identifiers

PMID41548556
PMCPMC12812439

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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.