bioRxiv Science⌕ Search

bioRxiv · 10.64898/2025.12.12.693252

Tissue-specific plasticity of DNA methylation across intertidal microhabitats in juvenile mussels (Mytilus californianus)

Abstract

Epigenetic modifications to DNA are proposed to underpin plastic responses to environmental change, and the manner in which DNA methylation contributes to plasticity likely differs among tissues. However, few studies have investigated tissue-specific DNA methylation responses to ecologically relevant environmental stressors in natural settings. Here, we used reduced representation bisulfite sequencing on foot and gill to examine the influence of in situ microhabitats on DNA methylation in juvenile California mussels (Mytilus californianus), a foundation species with widespread dispersal and little evidence of genetic population structure. We examined mussels from a one-month reciprocal transplant experiment between a cool, wave-exposed and a warm, wave-protected microhabitat. These manipulations, which were previously shown to alter juvenile mussels heat tolerance, led to significant and highly tissue-specific changes in CpG methylation, including within a number of genes with roles in stress response pathways. Differentially methylated genes were involved in processes including heat shock response, proteolysis, DNA repair, and temperature sensing. In gill, differentially methylated CpGs were more likely to occur in introns relative to other inter- and intragenic features. This study expands on previous research that examined environmentally driven shifts in DNA methylation by documenting plastic and tissue-specific changes in DNA methylation between microhabitats in a natural setting.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Cai, Q., Bogan, S. N., Tanner, R., Kelley, J. L., Dowd, W. W.. 2025-12-16. Tissue-specific plasticity of DNA methylation across intertidal microhabitats in juvenile mussels (Mytilus californianus). https://doi.org/10.64898/2025.12.12.693252

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Structural variation in repeat elements is widespread in normal human tissues and in tumorigenesis

Somatic mosaicism contributes to genomic variation, yet postzygotic structural variants remain under-characterized. We performed long- and short-read WGS from multiple individuals (n=47 normal tissues; n=168 samples) and identified mosaic structural variants in all individuals and germ layers, impacting a median 285.2 kb/genome. Nearly half of breakpoints were independently validated, with tissue distributions reflecting both early and late developmental origins. Most mosaic variants were repeat-mediated and 8.3% overlapped functional elements, an enrichment compared to germline variants. To extend these analyses in samples where long-read sequencing is infeasible, we measured repeat alterations from short-read sequencing, recapitulating mosaic tissue-specific differences. We characterized tumor- and tissue- specific variation in repeats across 15 cancer types and found tumor-related repeat variation to be similar in scale to that of normal mosaic variation. Tracking repeat changes in cell-free DNA provided a noninvasive approach for tumor monitoring. Our analyses revealed widespread repeat-driven structural variation in health and disease.

genomics↗

RNA isoform-resolved multiplexed sequencing with bioorthogonal barcoding

RNA isoform dysregulation drives disease pathogenesis and is the target of FDA-approved splice-switching therapeutics. However, multiplexed sequencing methods discard splice junction information because only 3' termini are barcoded and counted. Here, we repurpose acylation and click chemistries to conjugate bioorthogonal barcodes (bobcodes) directly onto multiple internal positions along cellular RNAs. Bobcoded RNAs from multiple samples are pooled for multiplexed cDNA synthesis, during which reverse transcriptase switches from each RNA template onto its tethered bobcode with greater than 99% accuracy in species mixing experiments. Bobcode attachment intervals set cDNA insert sizes without a library fragmentation step, and priming with poly(dT) or random hexamers selects between 3'-end counting and full-length isoform capture. A bioorthogonal barcode-sequencing (BOB-seq v0.1) drug screen identifies transcriptome-wide on- and off-target RNA splicing effects and outperforms existing multiplexing RNA sequencing methods in workflow simplicity, sample-to-sample variability, and barcoding accuracy. Bobcodes add isoform resolution to scalable multiplexed RNA sequencing.

genomics↗

Structural polymorphism and population-variable coding capacity of HERV-K(HML-2) in human pangenomes

Approximately 8% of the human genome is derived from ancient retroviral infections. The most recently integrated of these endogenous retroviruses is the HERV-K(HML-2) clade, whose expression has been associated with cancer, amyotrophic lateral sclerosis, and embryogenesis. Studies of HERV expression, particularly HML-2, have relied predominantly on short-read sequencing. However, the high similarity among HML-2 proviruses prevents many short reads from being assigned uniquely to individual loci. We therefore compared haplotype-resolved long-read genome assemblies from 292 donors to resolve variation in proviral structure and coding capacity. Several loci previously thought to be fixed were structurally polymorphic. Tandem arrays occurred at 13 loci and contained up to six proviral copies in a single array. At 8q11.23, we identified a previously undescribed full-length provirus in one haplotype. All 583 other haplotypes carried a solo-LTR. We found that standard reference genomes failed to represent the coding capacity retained in many individuals, whose proviruses contained intact open reading frames despite disruptive mutations in the reference sequences. Short-read genotypes left 32.5% of the tested donor-variant pairs unresolved at sites associated with viral reading frames. These findings show why HML-2 expression must be interpreted in the context of the structural and coding alleles each individual carries.

genomics↗