Evidence map›Paper›PMID 40170124›Full record

ArticleEpigenetics & chromatin2025

Genome-wide DNA methylation patterns in Daphnia magna are not significantly associated with age.

Ruoshui Liu, Marco Morselli, Lev Y Yampolsky, Leonid Peshkin, Matteo Pellegrini

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Article in Epigenetics & chromatin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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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

3 citing papers in PubMed.

  1. Article
  2. Still no evidence for an environmentally responsive epigenetic clock in an insect.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruoshui LiuDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, 90024, USA.
Marco MorselliDepartment of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Lev Y YampolskyDepartment of Biological Sciences, East Tennessee State University, Johnson City, TN, 37614, USA.
Leonid PeshkinSystems Biology, Harvard Medical School, Boston, MA, 02115, USA. pesha@hms.harvard.edu.
Matteo PellegriniDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, 90024, USA. matteop@ucla.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation plays a crucial role in gene regulation and epigenetic inheritance across diverse organisms. Daphnia magna, a model organism in ecological and evolutionary research, has been widely used to study environmental responses, pharmaceutical toxicity, and developmental plasticity. However, its DNA methylation landscape and age-related epigenetic changes remain incompletely understood.

resultsIn this study, we characterized DNA methyltransferases (DNMTs) and mapped DNA methylation across the D. magna genome using whole-genome bisulfite sequencing. Our analysis identified three DNMTs: a highly expressed but nonfunctional de novo methyltransferase (DNMT3.1), alongside lowly expressed yet functional de novo methyltransferase (DNMT3.2) and maintenance methyltransferase (DNMT1). D. magna exhibits overall low DNA methylation, targeting primarily CpG dinucleotides. Methylation is sparse at promoters but elevated in the first exons downstream of transcription start sites, with these exons showing hypermethylation relative to adjacent introns. To examine age-associated DNA methylation changes, we analyzed D. magna individuals across multiple life stages. Our results showed no significant global differences in DNA methylation levels between young, mature, and old individuals, nor any age-related clustering in dimensionality reduction analyses. Attempts to construct an epigenetic clock using machine learning models did not yield accurate age predictions, likely due to the overall low DNA methylation levels and lack of robust age-associated methylation changes.

conclusionsThis study provides a comprehensive characterization of D. magna's DNA methylation landscape and DNMT enzymes, highlighting a distinct pattern of exon-biased CpG methylation. Contrary to prior studies, we found no strong evidence supporting age-associated epigenetic changes, suggesting that DNA methylation may have a limited role in aging in D. magna. These findings enhance our understanding of invertebrate epigenetics and emphasize the need for further research into the interplay between DNA methylation, environmental factors, and gene regulation in D. magna.

Indexed as

AgingDaphniaDNA MethylationAnimalsCpG IslandsDaphnia magnaDNA (Cytosine-5-)-MethyltransferasesEpigenesis, GeneticGenomeDNA (Cytosine-5-)-MethyltransferasesDaphnia magnaDNA methylationDNA methyltransferase (DNMT)Epigenetic clock

Identifiers

PMID40170124
PMCPMC11963560

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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.