Expression regulation network in papillae of sea cucumbers: Whole-transcriptome and DNA methylation datasets.

Wenhong Mai; Jingxian Sun; Bingyu Ning; Tanjun Zhao; Haochen Yang; Liyuan Ren; Zengdong Wang; Cao Cheng; Ange Zou; Yaoyao Zhan; Yaqing Chang

doi:10.1038/s41597-025-05407-9

PubMed · 40664671

Expression regulation network in papillae of sea cucumbers: Whole-transcriptome and DNA methylation datasets.

Wenhong Mai·Jingxian Sun·Bingyu Ning·Tanjun Zhao·Haochen Yang·Liyuan Ren·Zengdong Wang·Cao Cheng·Ange Zou·Yaoyao Zhan·Yaqing Chang

View original source ↗Export metadata ↓

Abstract

To elucidate the expression regulation network of papilla size of sea cucumbers (Apostichopus japonicus), the whole-transcriptome and DNA methylome datasets of different sizes of papillae in sea cucumbers were generated. Average clean bases of whole-transcriptome (16.35 G) and DNA methylome (28.92 G) were obtained using RNA sequencing and whole-genome bisulfite sequencing techniques. A total of 3,188 ceRNA networks were also identified including 3,081 long non-coding RNAs (lncRNA)/microRNAs (miRNA)/mRNA networks and 107 circular RNA (circRNA)/miRNA/mRNA networks. Methylome data indicate that there were 3,307 and 3,776 differentially methylated regions (DMRs) with high-level methylation as well as 3,125 and 3,016 DMRs with low-level methylation in big papillae compared to small papillae. The identified DMRs were mainly distributed in introns, promotors, or exons. The whole-transcriptome and DNA methylome datasets generated from this study not only established a robust theoretical foundation (especially from the epigenetic aspect) for elucidating expression regulation network determining papilla size in sea cucumbers but also can be a valuable resource of biomarker mining for papilla appearance-based selective breeding in sea cucumbers.

Explore related subjects

DNA Methylation Animals Transcriptome MicroRNAs Sea Cucumbers Gene Regulatory Networks RNA, Messenger RNA, Long Noncoding RNA, Circular Gene Expression Regulation Journal Article Dataset Research Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Wenhong Mai, Jingxian Sun, Bingyu Ning, Tanjun Zhao, Haochen Yang, Liyuan Ren, Zengdong Wang, Cao Cheng, Ange Zou, Yaoyao Zhan, Yaqing Chang. 2025-07-15. Expression regulation network in papillae of sea cucumbers: Whole-transcriptome and DNA methylation datasets.. https://doi.org/10.1038/s41597-025-05407-9

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

KEEP EXPLORING

Related citations

PubMed2026

Heat-responsive ONSEN long terminal repeats integrate heat shock factor motifs, DNA methylation and natural sequence variation in Arabidopsis.

ONSEN is a heat-activated Ty1/copia retrotransposon in Arabidopsis thaliana controlled by heat shock factors (HSFs) and epigenetic silencing. Heat shock element (HSE)-like sequences in ONSEN long terminal repeats (LTRs) contribute to heat responsiveness, but relationships among sequence architecture, basal DNA methylation and natural variation remain unclear. We combined transcription-factor motif prediction, transposable-element comparisons, methylome and RNA sequencing (RNA-seq) data, and Arabidopsis genome assemblies. In silico disruption of five HSE cores eliminated HSF-family motif compatibility in the selected design and all 5119 exact-guanine-cytosine (GC) alternatives. Across 16 curated Columbia-0 terminal windows, ONSEN contained 33-49 non-redundant HSF motif-coordinate placements per 800 bp window and was strongly enriched relative to 1930 non-ONSEN transposable elements across score thresholds and continuous metrics. Direct comparison with 779 non-ONSEN LTR retrotransposons showed selectively elevated basal CHH methylation (where H = A, C or T) at ONSEN termini. Genome-wide RNA-seq analysis revealed broad heat-responsive gene and transposable-element changes, including strong ONSEN induction, whereas candidate-window analysis distinguished ONSEN from most HSF-rich non-ONSEN outliers. ONSEN-like variants across eight accessions generally retained HSF-compatible motifs while altering predicted DNA binding with one finger-family motif composition. Together, these findings define ONSEN terminal regions as HSF-rich regulatory sequences that retain heat-responsive potential within a methylated chromatin context and identify candidates for functional analysis.

DNA Methylation↗

PubMed2026

Characterization of DNA methylation in PBMCs and donor-matched iPSCs shows age-related methylation is reset during stem cell reprogramming.

DNA methylation is an important epigenetic mechanism that helps define and maintain cellular functions. It is influenced by many factors, including environmental exposures, genotype, cell type, sex, and aging. Since age is the primary risk factor for developing neurodegenerative diseases, it is important to determine if age-related DNA methylation is retained when cells are reprogrammed to an induced Pluripotent Stem Cell (iPSC) state. Here, we selected peripheral blood mononuclear cells (PBMCs; n = 99) from a cohort of diverse and healthy individuals enrolled in the Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing (GESTALT) study to reprogram to iPSCs. After reprogramming, the resulting iPSCs were evaluated for DNA methylation signatures to determine if they reflect the confounding factors of aging and environmental effects. Data from genome-wide DNA methylation arrays in both cell types showed that age-related methylation measured by epigenetic clocks is largely reset to an early methylation age after reprogramming of PBMCs to iPSCs. We further examined the epigenetic age of each cell type using an Epigenome-wide Association Study (EWAS) and identified a set of methylation Quantitative Trait Loci in each cell type. Our results show that age-related DNA methylation is largely reset in iPSCs, and each cell type has a unique set of methylation sites that are modified by population-level genetic variation.

DNA Methylation↗

PubMed2026

Methylation histology reveals the molecular mechanism by which red light-mediated DNA methylation delays leaf senescence in pak choi (Brassica rapa subsp. chinensis).

Leaf senescence is a key factor affecting the postharvest quality and shelf life of vegetables. The specific mechanisms by which light environment and DNA methylation mediate leaf senescence remain unclear. This study explored the molecular mechanism by which red light (RL) LED delays leaf senescence through DNA methylation in pak choi (Brassica rapa subsp. chinensis). In this study, RL treatment significantly suppressed leaf senescence in pak choi during postharvest storage and downregulated the expression of senescence-associated genes (SAGs). Experiments with methylation inhibitors confirmed its association with DNA methylation. Furthermore, whole-genome bisulfite sequencing revealed that during storage-induced senescence, pak choi exhibited significantly reduced methylation levels across its genome, particularly in promoter regions, and RL treatment reversed this effect. Furthermore, virus-induced gene silencing and overexpression experiments confirmed the central role of the demethylase BrDML3 (BraA01g004250.3.5C) in this process. Subsequently, a transcription factor under its regulation, BrNAC55 (BraA05g032630.3.5C), was identified and shown to promote leaf senescence by activating downstream SAGs (BrSGR1, BrPPH, BrSAUR36) to promote leaf senescence. In addition, this study found that BrNAC55 can also form a feedback loop with BrDML3, continuously amplifying leaf senescence. This study elucidates the mechanism by which RL-mediated DNA methylation delays leaf senescence, providing a foundation for postharvest preservation technologies.

DNA Methylation↗