# Molecular Basis of Sperm Methylome Response to Aging and Stress

**Authors:** Olatunbosun Arowolo, Jiahui Zhu, Karolina Nowak, J. Richard Pilsner, Alexander Suvorov

PMC · DOI: 10.3390/biology15060504 · Biology · 2026-03-21

## TL;DR

The paper explores how aging and stress affect sperm DNA methylation in regions linked to embryonic development, proposing that these changes may help diversify offspring traits to improve survival.

## Contribution

The study introduces a novel hypothesis that stochastic methylation variation in variable methylation regions (VMRs) explains sperm methylome responses to stress and aging.

## Key findings

- Changes in sperm DNA methylation due to aging and stress occur predominantly in VMRs associated with developmental genes.
- VMRs are enriched for a binding motif for ZFP42, an epigenetic remodeler involved in genomic imprinting.
- The nature of DNA regions, not the stressor type, determines the sperm methylome's response to aging and stress.

## Abstract

Many human and animal studies have shown that epigenetic programs in sperm are affected by aging and various stressful factors, and that these changes may have adverse effects on offspring health. Surprisingly, different stressors often affect similar sets of differentially methylated regions (DMRs) associated with developmental genes regardless of the nature of the stressor. We hypothesized that these unexplained patterns of sperm epigenome response may originate from stochastic epigenetic variation—a hypothesis suggesting that, in response to stressors, naturally variable methylation regions (VMRs) associated with morphogenic genes exhibit increased methylation variation to diversify offspring phenotypes and improve the chances of survival of the genetic lineage. We used data on sperm DNA methylation from mouse and rat experiments and demonstrated that, indeed, changes in DNA methylation in response to aging and various stressors predominantly occur in VMRs associated with major developmental pathways. Next, we propose a model that explains how a stochastic increase in methylation variation in VMRs results in either increased or decreased methylation in these regions. Further, we show that VMRs are enriched for a binding motif for ZFP42, an epigenetic remodeler involved in genomic imprinting. This knowledge may open opportunities to develop interventions to control epigenetic information transfer via germ cells.

Aging and stress-related factors affect sperm DNA methylation in regions associated with genes responsible for embryonic development. The stochastic epigenetic variation hypothesis holds potential to explain these patterns, proposing that, in response to stressors, naturally variable methylation regions (VMRs) associated with morphogenetic genes exhibit increased methylation variation to diversify phenotypes and improve the chances of survival of the genetic lineage. Here, we test predictions from this hypothesis using mouse and rat sperm DNA methylation data from publicly available sources. Specifically, we identify VMRs and analyze their overlap with regions differentially methylated (DMRs) in response to aging, stressors, and with various genomic elements. We demonstrate that the nature of the DNA regions, rather than the nature of the stressor, determines the response of the sperm methylome to aging and stress, and propose a model that explains shifts in methylation within VMRs through stochastic changes, whereby initially hypermethylated regions lose methylation and initially hypomethylated regions gain methylation. VMRs are depleted of open chromatin regions and histones in male germ cells and are enriched for a binding motif for ZFP42, an epigenetic remodeler. This knowledge may open opportunities for the development of interventions to control epigenetic information transfer via germ cells.

## Linked entities

- **Genes:** ZFP42 (ZFP42 zinc finger protein) [NCBI Gene 132625]
- **Species:** Mus musculus (taxon 10090), Rattus norvegicus (taxon 10116)

## Full-text entities

- **Genes:** Nr4a1 (nuclear receptor subfamily 4, group A, member 1) [NCBI Gene 15370] {aka GFRP1, Gfrp, Hbr-1, Hbr1, Hmr, N10}, Neurod1 (neurogenic differentiation 1) [NCBI Gene 18012] {aka BETA2, BHF-1, Nd1, Neurod, bHLHa3}, Taf1 (TATA-box binding protein associated factor 1) [NCBI Gene 270627] {aka B430306D02Rik, Ccg-1, Ccg1, KAT4, N-TAF1, TAFII250}, Mef2d (myocyte enhancer factor 2D) [NCBI Gene 17261], Irf3 (interferon regulatory factor 3) [NCBI Gene 54131] {aka C920001K05Rik, IRF-3}, Yy1 (YY1 transcription factor) [NCBI Gene 22632] {aka NF-E1, YY-1}, Prdm9 (PR domain containing 9) [NCBI Gene 213389] {aka Dsbc1, G1-419-29, Meisetz, PRDM9-B, Rcr1, repro7}, Peg3 (paternally expressed 3) [NCBI Gene 18616] {aka ASF-1, End4, Gcap4, Pw1, Zfp102, mKIAA0287}, Elf5 (E74-like factor 5) [NCBI Gene 13711] {aka ESE-2, ESE-5, ESE-5.}, Dnmt3a (DNA methyltransferase 3A) [NCBI Gene 13435] {aka MmuIIIA}, Sox10 (SRY (sex determining region Y)-box 10) [NCBI Gene 20665] {aka Dom, Sox21, gt}, Zfp42 (zinc finger protein 42) [NCBI Gene 22702] {aka Rex-1, Rex1, Zfp-42}, Mef2c (myocyte enhancer factor 2C) [NCBI Gene 17260] {aka 5430401D19Rik, 9930028G15Rik, Mef2}, Otx2 (orthodenticle homeobox 2) [NCBI Gene 18424] {aka E130306E05Rik}, Nkx6-1 (NK6 homeobox 1) [NCBI Gene 18096] {aka NKX6A, Nkx6.1}, Rictor (RPTOR independent companion of MTOR, complex 2) [NCBI Gene 78757] {aka 4921505C17Rik, 6030405M08Rik, AVO3, D530039E11Rik}, Zfp42 (zinc finger protein 42) [NCBI Gene 100361947] {aka Zfp971}, Mef2a (myocyte enhancer factor 2A) [NCBI Gene 17258] {aka A430079H05Rik}, Msgn1 (mesogenin 1) [NCBI Gene 56184] {aka Msgn, pMsgn1}, Neurod2 (neurogenic differentiation 2) [NCBI Gene 18013] {aka Ndrf, bHLHa1}, Foxl2 (forkhead box L2) [NCBI Gene 26927] {aka BPES, P-Frk, PINTO, Pfrk}, Isl1 (ISL1 transcription factor, LIM/homeodomain) [NCBI Gene 16392], Atoh1 (atonal bHLH transcription factor 1) [NCBI Gene 11921] {aka Hath1, MATH-1, Math1, bHLHa14}, Dnmt3b (DNA methyltransferase 3B) [NCBI Gene 13436] {aka MmuIIIB}, H3c7 (H3 clustered histone 7) [NCBI Gene 260423] {aka H3.2-221, H3c13, H3c14, H3c15, H3c2, H3c3}, Srf (serum response factor) [NCBI Gene 20807], Dnmt1 (DNA methyltransferase 1) [NCBI Gene 13433] {aka Cxxc9, Dnmt, Dnmt1o, MCMT, MTase, Met-1}
- **Diseases:** autism (MESH:D001321), injury to (MESH:D014947), neurodevelopmental disorders (MESH:D002658), schizophrenia (MESH:D012559), prediabetes (MESH:D011236), RRBS (MESH:D001523), reduced glucose tolerance (MESH:D018149), cancer (MESH:D009369), metabolic dysfunction (MESH:D008659), startle (MESH:D016750), inflammation (MESH:D007249), adiposity (MESH:D018205)
- **Chemicals:** CdCl2 (MESH:D019256), ethanol (MESH:D000431), BDE-47:2,2',4,4'-tetrabromodiphenyl ether (-), cadmium (MESH:D002104), 2,2',4,4'-tetrabromodiphenyl ether (MESH:C511295), DEHP (MESH:D004051), dimethyl sulfoxide (MESH:D004121), corn oil (MESH:D003314), phthalate (MESH:C032279)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606], Rattus norvegicus (brown rat, species) [taxon 10116]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13024700/full.md

## References

83 references — full list in the complete paper: https://tomesphere.com/paper/PMC13024700/full.md

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Source: https://tomesphere.com/paper/PMC13024700