Skip to main content
Download PDF

The role of ribosomal DNA methylation in embryonic development, aging and diseases

Epigenetics & Chromatin volume 17, Article number: 23 (2024) Cite this article

Abstract

The ribosomal DNA (rDNA) constitutes a remarkably conserved DNA sequence within species, located in the area of the nucleolus, and responsible for coding three major types of rRNAs (18S, 5.8S and 28S). While historical investigations into rDNA focused on its structure and coding capabilities, recent research has turned to explore its functional roles in various biological processes. In this review, we summarize the main findings of rDNA methylation with embryonic development, aging and diseases in multiple species, including epigenetic alterations, related biological processes and potential applications of rDNA methylation. We present an overview of current related research and identify gaps in this field.

Introduction

Ribosomal DNA sequences are essential components of all eukaryotic genome sequences. In humans, the main rDNA unit spans approximately 43 kb, comprising a 13 kb transcribed region containing sequences encoding the 18S, 5.8S and 28S rRNAs, along with a 30 kb intergenic spacer (IGS) [1] (Fig. 1). Additionally, rDNA comprises a separate cluster of approximately 2.2 kb repeated genes that form the 5S rRNA [2, 3]. The critical components of IGS encompass upstream control elements (UCE) and core promoter elements (CPE), as well as other regulatory regions. rDNA is the only DNA present within the nucleolar volume [4], arranged in tandem repeat clusters in the nucleolar organizer regions (NORs), on the short arms of acrocentric chromosomes. rDNA gene sequences are highly conserved within species, characterized by high repeatability, high transcription and large amounts of methylation, which lead to the loss of gene expression under most of circumstances [5, 6]. In humans, rDNA sequence is predominantly located on chromosomes 13, 14, 15, 21 and 22 [7]. The region encoding 5S rRNA is primarily situated on chromosome 1 [8]. In mice, these sequences are found on chromosomes 12, 15, 17, 18 and 19 [9, 10], with the region encoding 5S rRNA mainly located on chromosome 8 [11]. Human and mouse sequences encoding rRNAs are highly conserved (percent identity: 5S = 100%, 5.8S = 99%, 18S = 99%, 28S = 85%) [12]. The primary function of rDNA is to form ribosome subunits. rDNA is first transcribed into rRNA in the nucleus by RNA polymerase I (pol I), a rate-limiting factor in ribosomal biogenesis. Additionally, some cell signaling pathways such as MAPK mTOR, MYC, PKC, p53 and RAS/ERK pathways also influence the transcription process. Subsequently, rRNA is processed and modified to assemble with the ribosome protein into the final ribosome subunit. Following ribosomal subunit synthesis, it began to play more prominent roles, such as regulating protein synthesis and transcription factor activity, participating in some post-translational modifications and regulating cell cycle [13, 14]. To meet the different demands of protein synthesis in various tissues under different conditions, multiple modalities such as epigenetic regulation are served to trigger the activation or silencing of rDNA transcription [15,16,17].

Fig. 1
figure 1

The structure of rDNA in human cells

Full size image

DNA methylation usually refers to a modification formed by the addition of methyl groups to the 5’C position of cytosine by DNA methyltransferase (DNMT) [18, 19]. Serving as an essential epigenetic regulator, it plays roles in various biological processes. Relevant research and data have been integrated into epigenetic databases to facilitate researchers’ understanding of advancements [20,21,22]. rDNA, as one of the key regions of methylation in the human genome, has at least 1500 CpGs on its transcription unit [23]. The methylation levels of rDNA vary across different tissues. A study reported the methylation levels of rDNA promoters in various tissues of adult mice as the following: liver 34%, spleen 53%, brain 48%, testis 25%, and ovary 30% [24]. As far back to 2001, study in mice had clearly identified that methylated rDNA copies are transcriptionally silent [17]. Methylation-mediated silencing of rDNA transcription can contribute to various biological processes such as organismal development, aging, and disease occurrence.

However, due to the high repeatability, near-mitochondrial characteristics and substantial size of rDNA, a lot of relevant information was lost during analysis of next-generation sequencing data, leading to the exclusion of rDNA sequence from the reference genome for a long time. Given this circumstance, research focusing on rDNA methylation is relatively constrained, with even fewer comprehensive reviews on the subject [5, 25]. In this review, we comprehensively summarize the current status and potential applications of research on the relationship between rDNA methylation and embryonic development, aging, and diseases across different species and tissues (Table 1). Additionally, we will provide insights into future directions for rDNA research.

Table 1 Correlation between rDNA methylation and embryonic development, aging, and diseases
Full size table

rDNA methylation and embryonic development

It is widely recognized that during mammalian embryonic development, DNA methylation undergoes dynamic changes, including significant genome-wide “erasure-reconstruction” processes, with the exception of parental imprinting [47,48,49]. However, research examining the correlation between rDNA methylation and embryonic development stage is notably deficient in systematic approach. It predominantly concentrates on isolated developmental processes in mice, supplemented by studies concerning reproductive cells across various species.

The formation and maturation of germ cells are prerequisites for embryonic development. A study has reported that the variation in rDNA methylation among oocytes derived from the same individual in the majority of humans is less than 5% [28]. In a study conducted on mice, the promoter regions of rDNA in sperm (5.9%), germinal vesicle oocytes (5.4%), metaphase II oocytes (3.2%), zygotes (2.6%) and blastocysts (1.9%) exhibited significantly lower methylated levels compared to those of adult tissues, such as testis (25%), ovary (30%), liver (34%), brain (48%), spleen (53%) [24]. Several studies have identified an increase in rDNA methylation in germ cells with advancing age across various species. It has been discovered that in human sperm, the methylation levels of rDNA transcription units (including UCE, core promoter, 18S rDNA, and 28S rDNA) increase with age, similar to α-satellite DNA and LINE1. Similarly, methylation levels of rDNA in mouse sperm (including intergenic spacer, gene promoter, 18S, and 28S) also increase with age. Additionally, in bovine and marmoset sperm, methylation levels of rDNA (18S and 28S rDNA) rise with individual age, with marmosets showing a slight increase in magnitude [26]. Subsequent research suggested that human ovarian aging is associated with increasing oocyte methylation of the rDNA promoter and UCE, while a weak correlation of oocyte methylation with rDNA promoter, UCE, and 28S rDNA was found in mice [28].

After the mouse zygote undergoes cleavage to form a blastocyst, between embryonic day 4.5 (E4.5) and embryonic day 5 (E5), the blastocyst begins to implant into the uterine wall. After implantation, de novo methylation of rDNA promoters occurs, with the overall methylation level in the embryo (13.9%) being lower than that in the extra-embryo (31%) at embryonic day 7.5 (E7.5). Based on this, the rDNA methylation levels of gonads and fetal liver cells were examined at embryonic day 13.5 (E13.5) and embryonic day 18.5 (E18.5), revealing that the levels were higher than those of primordial germ cells at the respective time points. Additionally, liver rDNA promoter methylation increased from 16.3% at E13.5 to 22.2% at E18.5. These results suggest that de novo methylation of the rDNA promoter is inhibited during germ cell development and global methylation occurs only after implantation. It was also speculated that nucleosome remodeling and histone deacetylase (NuRD) might play a role in the maintenance of hypomethylation of rDNA. Furthermore, during the period from conception to weaning, research has shown a linear correlation between growth limitations resulting from protein restriction and alterations in DNA methylation of rDNA in mouse offspring, which persists into adulthood [50]. These findings offer new insights and perspectives for the study of the methylation characteristics of rDNA during development [24]. Some researches have shown that ribosome biogenesis plays a crucial role in maintaining the fate determination of embryonic stem cells and developmental homeostasis of mammalian [51, 52]. We speculate that some pivotal modifications in rDNA methylation during embryonic development may regulate rDNA transcription and silencing, thereby tightly controlling ribosome biogenesis and promoting the progression of embryonic development at appropriate stages. The Lower levels of rDNA methylation observed at the zygote and blastocyst stages may allow for extensive rDNA transcription, facilitating abundant synthesis of ribosomal RNA essential for the continued differentiation and development of embryonic cells. Therefore, we contend that studying rDNA methylation in embryonic development will contribute to a deeper understanding of the molecular mechanisms of embryonic development and have potential implications for the understanding of the pathogenesis of developmental diseases and applications in embryonic stem cell research.

Apart from mammals, the rDNA of the model organism zebrafish has also been studied during development. Research has shown that zebrafish maintain global methylation levels during sex differentiation without any stage similar to genome-wide methylation erasure in mammals. A specific type of rDNA located in the major sex-linked locus in oocytes (referred to as fem-rDNA) has been identified. Fem-rDNA amplification and demethylation during early development of zebrafish suggest that fem-rDNA amplification is implicated in sex determination, helping to explain the non-Mendelian sex ratio in zebrafish [29].

rDNA methylation and aging

rDNA methylation can be considered a more effective biomarker of biological aging compared to other genomic components due to its comparable accuracy, more concentrated sites, and evolutionarily conserved characteristics [23, 53]. The theory proposed in 2008 suggested that the instability of the rDNA triggers aging and shortens individuals’ life span, which is called “rDNA theory of aging” [53, 54]. Many studies have explored the relationship between rDNA methylation and aging across different species and tissues, with the majority of findings indicating site-specific or overall hypermethylation of rDNA triggered by aging. In blood, elevated rDNA methylation and decreased rRNA levels were reported later in life in rats, although a comparable increase was not conclusively observed in humans [14]. The author further conducted a 9-year longitudinal study on the quality of life in individuals aged 60 to 89 years, revealing a negative correlation between rDNA methylation levels and cognitive abilities, as well as survival chances in the elderly population [14]. In bone marrow, it was observed that with increasing age, there is an elevation in the methylation level and copy number of rDNA, accompanied by a decrease in the levels of pre-rRNA transcripts using 2-year-old and 4-week-old mice [30]. For human fibroblasts, a 2018 report demonstrated an increase in rDNA methylation during in vitro aging [31]. For skeleton muscle, 345 CpG sites in rDNA were found hypermethylated in aged muscle compared to young muscle of mouse, while the number of hypomethylated CpG sites was only 15 [32]. In the heart and kidney of rats, with aging, the methylation of some CpG units in the promoter region increases [14]. For the liver, several studies have reported an age-related increase in DNA methylation at multiple regions of rDNA [14, 27, 33]. Methylation levels of three regions of the rDNA gene locus (promoter, 5’ of 18S, and 5’ of 28S sequences) were measured in young (two months), adult (10 months), and old (18 months) rats, revealing an age-associated increase in DNA methylation [33]. Additionally, a similar increase in methylation occurring in human liver cells was documented for the first time [33].

Based on the age-related changes in rDNA methylation described above, several age prediction models have been developed, utilizing the conservative characteristics of rDNA methylation to assist in the study of aging process. One model has been developed to predict individual’s age based on 15 CpGs within the rDNA transcription unit of human sperm. This model utilizes a relatively small amount of sample size of approximately10 sperm cells, with a prediction error of less than 3 years [26]. Furthermore, the effectiveness of rDNA methylation sites as a clock marker to predict the age of an individual has been tested across multiple distant species, including humans, mice, and dogs. The performance of rDNA is significantly better than that of clocks constructed with other genomic CpG sites as markers, and it is considered to be a reliable predictor of age due to its conserved performance across different species [23]. Among approximately 13,000 base pairs of rDNA sequence in mice, researchers identified 620 CpG sites (66.8%) that provide information about age. Interestingly, many of these CpG sites are conserved across distantly related species; for instance, over 70% of human CpG sites in the 18S and 5.8S genes of rDNA can be found in species as diverse as zebrafish. The elastic network regression model, constructed using methylation levels of 46 rDNA loci, has achieved accurate and precise estimation of the age of individual European lobsters, which will hopefully have economic and ecological value for fisheries management [55]. Furthermore, combining the rDNA methylation clock with genome-wide methylation clocks identified across the entire genome could potentially enhance the accuracy of age prediction [56,57,58,59].

Various hypotheses have been proposed regarding the potential cell biological mechanisms through which rDNA methylation may be involved in aging, including nucleolar stress, regulation of RNA polymerase affecting transcription rate, among others. A replication fork barrier (RFB) has been identified within human 47S rDNA, with essential elements including the Sal box and transcription termination factor-1 (TTF-1). Interestingly, it is active only in the hypomethylated rDNA copy, and its mechanism of action is to cooperate with TTF-1 to terminate RNA pol I’s transcriptional activity. The different methylation status of rDNA copies, therefore, could lead to genomic instability, potentially contributing to the development of cancer [60]. Besides, impaired ribosomal biosynthesis due to DNA methylation can also lead to nucleolar stress, which is involved in the pathogenesis of aging and many related diseases [26].

rDNA methylation and diseases

The consequences of impaired ribosomal biosynthesis resulting from rDNA methylation reach far beyond the scope of aging, extending into the intricate landscape of diseases. The resulting nucleolar stress, linked to the pathogenesis of aging, serves as a pivotal link connecting rDNA methylation to a multitude of diseases. This connection prompts an exploration into the specific nuances of how alterations in ribosomal DNA methylation may contribute to the onset and progression of various diseases, thereby unraveling a deeper understanding of the complex interplay between epigenetic modifications and pathological processes.

rDNA methylation and neurological diseases

Decreased rRNA levels and reduced ribosomal activity have been linked to the pathological progression of Alzheimer’s disease (AD) [61,62,63]. Separate studies have indicated elevated rDNA methylation and increased rDNA content in the cerebral cortex and cerebellum regions of AD patients compared to age-matched controls [34, 64]. Similarly, increased rDNA methylation has been observed in the cortical region of patients with mild cognitive impairment (MCI), an early stage of AD. In the early stages of AD, there is an increase in rDNA methylation, whereas in the late stages, there is an enrichment of low-methylated rDNA units. In contrast, patients with MCI exhibit a broader range of global methylation, with higher methylation levels compared to late-stage AD patients [34]. For another neurological disease, autism spectrum disorder (ASD), a comparative analysis involving 16 ASD samples and 11 control samples did not reveal any significant alterations in rDNA copy number or DNA methylation in the brains of individuals with ASD [35]. Similarly, using 53 neuronal and 42 oligodendrocyte samples, no changes in rDNA methylation or copy number associated with schizophrenia (SCZ) were observed [35].

rDNA methylation and hematologic diseases

With the increase of age, the activity and function of the hematopoietic system decline, which is manifested by the decrease of the number of lymphocytes and the weakening of hematopoietic stem cells (HSC) differentiation function. In CD34 + cells from myelodysplastic syndrome (MDS) patients, there is increased methylation of rDNA promoters, leading to reduced expression of rRNA and disruption of ribosomal biogenesis compared to healthy controls. It is also explored the hypothesis that hypomethylating agents induced an increase in intracellular rRNA transcription, thereby reducing apoptosis, and obtained support from recent data [36].

rDNA methylation and genetic disorders

Werner’s syndrome (WS), also known as progeria short stature disease or adult progeria syndrome, is characterized by premature aging of the skin, a senile appearance, short stature, degeneration of the cardiovascular system, and a higher risk of diabetes and malignant cancer. In vitro studies examining rDNA in fibroblasts from both young and old normal individuals, as well as WS patients, revealed significant hypermethylation in samples from normal elderly individuals and WS patients. This hypermethylation leads to decreased expression of RNA pol II-transcribed genes. Moreover, the life span of fibroblasts in WS patients is significantly shortened [37].

Down syndrome (DS), also known as trisomy 21, is the most common viable chromosomal aneuploidy. The characteristic features of this condition include cognitive impairments, craniofacial anomalies, and early infantile hypotonia [65]. In a study utilizing targeted deep sequencing to assess DNA methylation in the rDNA of 69 adult individuals with DS and 95 controls using whole blood samples, elevated methylation level were identified in the promoter region of rDNA in individuals with DS compared to controls [38]. It has been reported that a significant positive correlation between 45S rDNA methylation and relative rDNA copy number in multiple tissues [35]. Trisomy of chromosome 21 results in most Down syndrome patients having an additional 30–40 copies of the rDNA unit. The increased rDNA methylation leads to silencing of these additional rDNA copies. It may be a dosage compensation mechanism, which ensures the homoeostatic regulation of ribosome biogenesis.

rDNA methylation and cancers

rDNA methylation and sex hormone-regulated cancers

Breast cancer, ovarian cancer, cervical cancer and endometrial cancer are among the major malignancies that adversely affect women’s health worldwide. As early as 2000, it was reported that the average percentage of rDNA methylation in breast tumors was notably higher compared to normal control samples. This increase was associated with the inhibition of estrogen receptor expression [39]. In 2014, further validation of this phenomenon revealed increased methylation at the promoter, 18S, and 28S regions of rDNA. Additionally, DNA methylation levels of several CpG sites within the rDNA locus were found to correlate with the nuclear grade and nucleolar size of tumor tissues [40]. Research on ovarian cancer tumor samples indicated significantly higher methylation levels of 18S and 28S rDNA compared to normal ovarian surface epithelial samples. Furthermore, this hypermethylation could predict the progression-free survival of ovarian cancer patients. Treatment with the demethylating drug 5’-aza-2’-deoxycytidine showed that the rDNA hypermethylation in ovarian cancer led to gene silencing [41]. Investigation into the role of rDNA methylation status and rRNA expression level in cervical intraepithelial neoplasia (CIN) specimens revealed rRNA overexpression in cervical cancer cells, accompanied by demethylation of rDNA promoter and decondensation of rDNA, presumably promoting protein synthesis to support cancer cell proliferation and expansion. Although reports on the multistage development of the disease are still lacking, this study suggested that demethylation of rDNA promoter in cervical cancer cells leads to increased rRNA expression [42]. Analysis of rDNA methylation in 215 endometrial tumors showed that the majority of the tumors exhibited elevated levels of rDNA methylation. Patients with lower levels of rDNA methylation demonstrated significantly worse disease-free survival and overall survival [43].

Prostate cancer ranks as the second most prevalent malignancy among men globally, trailing only lung cancer [66]. Research conducted on human prostate cancer cell lines and clinical samples unveiled no significant correlation between rDNA promoter methylation and rRNA overexpression. Furthermore, it indicated that MYC governs rRNA levels in human prostate cancer, implying a molecular mechanism potentially contributing to nucleolar alterations [44]. However, a recent study suggests that prostate cancer demonstrates reduced methylation in the IGS region of rDNA and heightened variability of rDNA compared to normal tissues [45].

rDNA methylation and other types of cancers

In addition to sex hormone-regulated cancers, variability in rDNA methylation has also been noted in oral squamous cell carcinoma, esophageal cancer, hepatocellular carcinoma, lung cancer, and colorectal cancer. In oral squamous cell carcinoma, rRNA expression is suppressed compared to normal tissues, but no significant DNA methylation changes were observed in the rDNA promoter region [46]. Representative CpG sites of rDNA exhibit a significant decrease in average methylation levels and an increase in variability in esophageal cancer and hepatocellular carcinoma. Partial tumor samples from colorectal cancer, liver cancer, and lung cancer also displayed hypomethylation. Furthermore, the methylation profile of rDNA in cell-free DNA from plasma can serve as a biomarker for the detection of various cancers, including colorectal cancer, lung cancer, and liver cancer [45].

To summarize, dysregulated rDNA methylation is a common feature observed in a range of diseases, including neurodegenerative diseases, hematologic diseases, genetic disorders, and cancers. In ovarian and endometrial cancers, rDNA methylation levels can predict progression-free survival, while rDNA methylation in cell-free DNA from plasma can serve as a biomarker for detecting multiple cancers. Given the extensive remodeling of the epigenome in diseases, changes in rDNA methylation are perhaps unsurprising. However, the key lies in identifying specific rDNA methylation changes that truly indicate disease progression and significantly impact disease development. This will provide valuable insights into disease mechanisms, facilitate the search for early diagnostic markers for diseases, and support therapeutic interventions.

Conclusions

This review provides a comprehensive overview of advancements in research on rDNA methylation concerning embryonic development, age and diseases associations across multiple species. During the preparatory stages of embryonic development, germ cells exhibit lower rDNA methylation compared to somatic cells. Following embryo implantation, there is a remethylation of the rDNA promoter, leading to overall higher methylation levels within the embryo than outside. As organisms age, rDNA methylation increases in the sperm and oocyte of humans, rats, and mice. Various tissues across species, including liver, heart, bone marrow, and skeletal muscle, display heightened rDNA promoter methylation. Changes in rDNA methylation levels are also observed in various types of diseases. rDNA methylation serves not only as an epigenetic clock across multiple species but also as a biomarker for the detection and prognosis of various diseases.

The genetic identity of rDNA units plays a crucial role in determining their epigenetic state. Genetic variations within the rDNA sequence can lead to the emergence of different epialleles, which in turn affect rDNA methylation patterns [67]. For example, specific genetic variants may predispose rDNA units to increased methylation, serving as a mechanism to silence additional rDNA copies. During development, aging, and disease, alterations in rDNA methylation may be influenced by genetic variations associated with rDNA [67], and concurrently coordinated with changes in rDNA copy number [35], thereby potentially regulating rDNA transcription, resulting in an overall modification in protein synthesis rates in the organism. Dysregulation of cellular protein synthesis may significantly contribute to the gradual deterioration of cellular functions associated with aging and diseases.

Despite these advancements, there remains a noticeable gap in research concerning the dynamic patterns of rDNA methylation throughout the entire embryonic development process across various species, as well as its systemic evolution. Questions persist regarding whether rDNA methylation influences processes such as cell differentiation, orientation, and proliferation. Additionally, the precise causal relationship between rDNA methylation and disease or aging process remains elusive. One of the challenges hindering rDNA research is that complete rDNA sequences are typically absent from most standard genome assemblies. The highly repetitive nature of rDNA makes it difficult to accurately analyze and locate rDNA within genome sequences [16, 68]. Additionally, rDNA copy number variation and the characteristic dense tangles further complicate the accurate assignment of reads from sequencing data, as well as the precise identification and quantification of these regions [69].

To advance our comprehension of rDNA methylation, researchers have focused on assembling the rDNA sequence and structure in the human genome. They have employed a specific method to separate the rDNA methylated region from whole-genome bisulfite sequencing (WGBS) data [45]. Additionally, by utilizing the Arachne assembler method, researchers have enhanced the suitability of the reference genome for rDNA localization, enabling precise insertion of rDNA tandem repeat sequences [70]. Recently, researchers have also customized five human and mouse reference genome assemblies, incorporating known rDNA sequences, creating annotation files, and proposing a straightforward workflow for researchers to map and visualize rDNA sequences more effectively [68]. Despite these advancements, the method for assembling rDNA sequences has not been widely embraced, resulting in a dearth of database resources displaying rDNA methylation information. Hence, there are plans to incorporate rDNA methylation profiles from various biological states, such as development, aging, and diseases, into our independently developed MethBank database, which contains cross-species single-base resolution DNA methylation data [21]. By identifying more stable and reliable rDNA methylation markers associated with aging, diseases, and development across multiple species, this endeavor aims to provide new directions for disease detection and intervention based on rDNA methylation, as well as clues for understanding the mechanisms underlying rDNA methylation’s involvement in diverse biological processes.

Data availability

No datasets were generated or analysed during the current study.

Abbreviations

AD:

Alzheimer’s disease

ASD:

Autism spectrum disorders

CIN:

Cervical intraepithelial neoplasia

CPE:

Core promoter elements

DNMT:

DNA methyltransferase

DS:

Down syndrome

E4.5:

Embryonic day 4.5

E5:

Embryonic day 5

E7.5:

Embryonic day 7.5

E13.5:

Embryonic day 13.5

E18.5:

Embryonic day 18.5

HSC:

Hematopoietic stem cells

IGS:

Intergenic spacer

MCI:

Mild cognitive impairment

MDS:

Myelodysplastic syndrome

NORs:

Nucleolar organizer regions

NuRD:

Nucleosome remodeling and histone deacetylase

OSCC:

Oral squamous cell carcinoma

rDNA:

Ribosomal DNA

RFB:

Replication fork barrier

SCZ:

Schizophrenia

TTF-1:

Transcription termination factor-1

UCE:

Upstream control elements

WS:

Werner’s syndrome

WGBS:

Whole-genome bisulfite sequencing

References

  1. Gonzalez IL, Sylvester JE. Complete sequence of the 43-kb human ribosomal DNA repeat: analysis of the intergenic spacer. Genomics. 1995;27(2):320–8.

    Article  CAS  PubMed  Google Scholar 

  2. Little RD, Braaten DC. Genomic organization of human 5S rDNA and sequence of one tandem repeat. Genomics. 1989;4(3):376–83.

    Article  CAS  PubMed  Google Scholar 

  3. Sorensen PD, Frederiksen S. Characterization of human 5S rRNA genes. Nucleic Acids Res. 1991;19(15):4147–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Cerqueira AV, Lemos B. Ribosomal DNA and the nucleolus as keystones of nuclear architecture, organization, and function. Trends Genet. 2019;35(10):710–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Smirnov E, Chmurciakova N, Cmarko D. Hum rDNA cancer Cells, 2021. 10(12).

  6. Kopp K, et al. Pol I transcription and pre-rRNA processing are coordinated in a transcription-dependent manner in mammalian cells. Mol Biol Cell. 2007;18(2):394–403.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Henderson AS, Warburton D, Atwood KC. Location of ribosomal DNA in the human chromosome complement. Proc Natl Acad Sci U S A. 1972;69(11):3394–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Steffensen DM, Duffey P, Prensky W. Localisation of 5S ribosomal RNA genes on human chromosome 1. Nature. 1974;252(5485):741–3.

    Article  CAS  PubMed  Google Scholar 

  9. Croce CM, et al. Suppression of production of mouse 28S ribosomal RNA in mouse-human hybrids segregating mouse chromosomes. Proc Natl Acad Sci U S A. 1977;74(2):694–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Grozdanov P, Georgiev O, Karagyozov L. Complete sequence of the 45-kb mouse ribosomal DNA repeat: analysis of the intergenic spacer. Genomics. 2003;82(6):637–43.

    Article  CAS  PubMed  Google Scholar 

  11. Matsuda Y, et al. Chromosomal mapping of mouse 5S rRNA genes by direct R-banding fluorescence in situ hybridization. Cytogenet Cell Genet. 1994;66(4):246–9.

    Article  CAS  PubMed  Google Scholar 

  12. Chebrout M et al. Transcription of rRNA in early mouse embryos promotes chromatin reorganization and expression of major satellite repeats. J Cell Sci, 2022. 135(6).

  13. Kang J, et al. Ribosomal proteins and human diseases: molecular mechanisms and targeted therapy. Signal Transduct Target Ther. 2021;6(1):323.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. D’Aquila P, et al. Methylation of the ribosomal RNA gene promoter is associated with aging and age-related decline. Aging Cell. 2017;16(5):966–75.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Srivastava R, Srivastava R, Ahn SH. The epigenetic pathways to ribosomal DNA silencing. Microbiol Mol Biol Rev. 2016;80(3):545–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. McStay B, Grummt I. The epigenetics of rRNA genes: from molecular to chromosome biology. Annu Rev Cell Dev Biol. 2008;24:131–57.

    Article  CAS  PubMed  Google Scholar 

  17. Santoro R, Grummt I. Molecular mechanisms mediating methylation-dependent silencing of ribosomal gene transcription. Mol Cell. 2001;8(3):719–25.

    Article  CAS  PubMed  Google Scholar 

  18. Bestor TH. DNA methylation - evolution of a bacterial immune function into a regulator of gene-expression and genome structure in higher eukaryotes. Philosophical Trans Royal Soc Lond Ser B-Biological Sci. 1990;326(1235):179–87.

    CAS  Google Scholar 

  19. Moore LD, Le T, Fan GP. DNA Methylation its Basic Function Neuropsychopharmacol. 2013;38(1):23–38.

    CAS  Google Scholar 

  20. Xiong Z, et al. EWAS Open platform: integrated data, knowledge and toolkit for epigenome-wide association study. Nucleic Acids Res. 2022;50(D1):D1004–9.

    Article  CAS  PubMed  Google Scholar 

  21. Zhang MC, et al. MethBank 4.0: an updated database of DNA methylation across a variety of species. Nucleic Acids Res. 2023;51(D1):D208–16.

    Article  CAS  PubMed  Google Scholar 

  22. Zong W, et al. scMethBank: a database for single-cell whole genome DNA methylation maps. Nucleic Acids Res. 2022;50(D1):D380–6.

    Article  CAS  PubMed  Google Scholar 

  23. Wang M, Lemos B. Ribosomal DNA harbors an evolutionarily conserved clock of biological aging. Genome Res. 2019;29(3):325–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Furuta A, Nakamura T. DNA hypomethylation circuit of mouse rDNA repeats in the germ cell lineage. Biochem Biophys Res Commun. 2017;490(2):429–33.

    Article  CAS  PubMed  Google Scholar 

  25. Shao FQ et al. Methylation of 45S ribosomal DNA (rDNA) is associated with cancer and aging in humans International Journal of Genomics, 2021. 2021.

  26. Potabattula R, et al. Increasing methylation of sperm rDNA and other repetitive elements in the aging male mammalian germline. Aging Cell. 2020;19(8):e13181.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Oakes CC, et al. Aging results in hypermethylation of ribosomal DNA in sperm and liver of male rats. Proc Natl Acad Sci USA. 2003;100(4):1775–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Potabattula R, et al. Ribosomal DNA methylation in human and mouse oocytes increases with age. Aging. 2022;14(3):1214–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Ortega-Recalde O, et al. Zebrafish preserve global germline DNA methylation while sex-linked rDNA is amplified and demethylated during feminisation. Nat Commun. 2019;10(1):3053.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Watada E et al. Age-dependent ribosomal DNA variations in mice. Mol Cell Biol, 2020. 40(22).

  31. Flunkert J, et al. Genetic and epigenetic changes in clonal descendants of irradiated human fibroblasts. Exp Cell Res. 2018;370(2):322–32.

    Article  CAS  PubMed  Google Scholar 

  32. Murach KA et al. Late-life exercise mitigates skeletal muscle epigenetic aging. Aging Cell, 2022. 21(1).

  33. Gensous N et al. Aging and caloric restriction modulate the DNA methylation profile of the ribosomal RNA locus in human and rat liver. Nutrients, 2020. 12(2).

  34. Pietrzak M, et al. Epigenetic silencing of nucleolar rRNA genes in Alzheimer’s disease. PLoS ONE. 2011;6(7):e22585.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Razzaq A et al. Ribosomal DNA copy number variation is coupled with DNA methylation changes at the 45S rdna locus. Epigenetics, 2023. 18(1).

  36. Raval A, et al. Reduced rRNA expression and increased rDNA promoter methylation in CD34 + cells of patients with myelodysplastic syndromes. Blood. 2012;120(24):4812–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Machwe A, Orren DK, Bohr VA. Accelerated methylation of ribosomal RNA genes during the cellular senescence of Werner syndrome fibroblasts. FASEB J. 2000;14(12):1715–24.

    Article  CAS  PubMed  Google Scholar 

  38. Ravaioli F, et al. DNA methylation analysis of ribosomal DNA in adults with down syndrome. Front Genet. 2022;13:792165.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Yan PS, et al. Hypermethylation of ribosomal DNA in human breast carcinoma. Br J Cancer. 2000;82(3):514–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Bacalini MG et al. The nucleolar size is associated to the methylation status of ribosomal DNA in breast carcinomas. BMC Cancer, 2014. 14.

  41. Chan MW, et al. Hypermethylation of 18S and 28S ribosomal DNAs predicts progression-free survival in patients with ovarian cancer. Clin Cancer Res. 2005;11(20):7376–83.

    Article  CAS  PubMed  Google Scholar 

  42. Zhou H et al. Overexpression of ribosomal RNA in the development of human cervical Cancer is Associated with rDNA promoter hypomethylation. PLoS ONE, 2016. 11(10).

  43. Powell MA, et al. Ribosomal DNA methylation in patients with endometrial carcinoma: an independent prognostic marker. Cancer. 2002;94(11):2941–52.

    Article  CAS  PubMed  Google Scholar 

  44. Uemura M, et al. Overexpression of ribosomal RNA in prostate cancer is common but not linked to rDNA promoter hypomethylation. Oncogene. 2012;31(10):1254–63.

    Article  CAS  PubMed  Google Scholar 

  45. Zhang XL et al. Evaluating methylation of human ribosomal DNA at each CpG site reveals its utility for cancer detection using cell-free DNA. Brief Bioinform, 2022. 23(4).

  46. Ha S, et al. Reduced ribosomal RNA expression and unchanged ribosomal DNA promoter methylation in oral squamous cell carcinoma. Mol Genet Genomic Med. 2019;7(7):e00783.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Fulka H, Aoki F. Nucleolus precursor bodies and ribosome biogenesis in early mammalian embryos: old theories and new discoveries. Biol Reprod, 2016. 94(6).

  48. Kresoja-Rakic J, Santoro R. Nucleolus and rRNA gene chromatin in early embryo development. Trends Genet. 2019;35(11):868–79.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Borsos M, Torres-Padilla ME. Building up the nucleus: nuclear organization in the establishment of totipotency and pluripotency during mammalian development. Genes Dev. 2016;30(6):611–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Holland ML, et al. Early-life nutrition modulates the epigenetic state of specific rDNA genetic variants in mice. Science. 2016;353(6298):495–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Xie SQ, et al. Nucleolar-based Dux repression is essential for embryonic two-cell stage exit. Genes Dev. 2022;36(5–6):331–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Durand S, et al. RSL24D1 sustains steady-state ribosome biogenesis and pluripotency translational programs in embryonic stem cells. Nat Commun. 2023;14(1):356.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Ganley AR, Kobayashi T. Ribosomal DNA and cellular senescence: new evidence supporting the connection between rDNA and aging. FEMS Yeast Res. 2014;14(1):49–59.

    Article  CAS  PubMed  Google Scholar 

  54. Kobayashi T. A new role of the rDNA and nucleolus in the nucleus-rDNA instability maintains genome integrity. BioEssays. 2008;30(3):267–72.

    Article  CAS  PubMed  Google Scholar 

  55. Fairfield EA, et al. Ageing European lobsters (Homarus gammarus) using DNA methylation of evolutionarily conserved ribosomal DNA. Evol Appl. 2021;14(9):2305–18.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Hannum G, et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol Cell. 2013;49(2):359–67.

    Article  CAS  PubMed  Google Scholar 

  57. Horvath S. Erratum to: DNA methylation age of human tissues and cell types. Genome Biol. 2015;16(1):96.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Petkovich DA, et al. Using DNA methylation profiling to Evaluate Biological Age and Longevity interventions. Cell Metab. 2017;25(4):954–e9606.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Stubbs TM, et al. Multi-tissue DNA methylation age predictor in mouse. Genome Biol. 2017;18(1):68.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Akamatsu Y, Kobayashi T. The human rRNA polymerase I transcription terminator complex acts as a replication fork barrier that coordinates the progress of replication with rRNA transcription activity. Mol Cell Biol. 2015;35(10):1871–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Honda K, et al. Ribosomal RNA in Alzheimer disease is oxidized by bound redox-active iron. J Biol Chem. 2005;280(22):20978–86.

    Article  CAS  PubMed  Google Scholar 

  62. Ding QX, et al. Ribosome dysfunction is an early event in Alzheimer’s disease. J Neurosci. 2005;25(40):9171–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Ding Q, et al. Decreased RNA, and increased RNA oxidation, in ribosomes from early Alzheimer’s disease. Neurochem Res. 2006;31(5):705–10.

    Article  CAS  PubMed  Google Scholar 

  64. Faria TC, et al. Characterization of cerebellum-specific ribosomal DNA epigenetic modifications in Alzheimer’s disease: should the cerebellum serve as a control tissue after all? Mol Neurobiol. 2020;57(6):2563–71.

    Article  CAS  PubMed  Google Scholar 

  65. Antonarakis SE, et al. Chromosome 21 and down syndrome: from genomics to pathophysiology. Nat Rev Genet. 2004;5(10):725–38.

    Article  CAS  PubMed  Google Scholar 

  66. Rawla P. Epidemiology of prostate cancer. World J Oncol. 2019;10(2):63–89.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Rodriguez-Algarra F, et al. Genetic variation at mouse and human ribosomal DNA influences associated epigenetic states. Genome Biol. 2022;23(1):54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. George SS, Pimkin M, Paralkar VR. Construction and validation of customized genomes for human and mouse ribosomal DNA mapping. J Biol Chem. 2023;299(6):104766.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Nurk S, et al. The complete sequence of a human genome. Science. 2022;376(6588):44–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Agrawal S, Ganley AR. Complete sequence construction of the highly repetitive ribosomal RNA gene repeats in eukaryotes using whole genome sequence data. Methods Mol Biol. 2016;1455:161–81.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank all the constructive comments on this article by the two reviewers.

Funding

This study was supported by National Natural Science Foundation of China [32300468].

Author information

Author notes

  1. Fei Yang & Xutong Guo

    Present address: National Genomics Data Center, China National Center for Bioinformation, Beijing, 100101, China

  2. Fei Yang and Xutong Guo are joint first authors.

Authors and Affiliations

  1. National Genomics Data Center, China National Center for Bioinformation, Beijing, 100101, China

    Yiming Bao & Rujiao Li

  2. Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China

    Fei Yang, Xutong Guo, Yiming Bao & Rujiao Li

  3. University of Chinese Academy of Sciences, Beijing, 100049, China

    Xutong Guo & Yiming Bao

Authors
  1. Fei Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xutong Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yiming Bao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rujiao Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Article conceptualization and review editing: RJL and YMB. Literature search and original draft preparation: FY and XTG. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Yiming Bao or Rujiao Li.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rujiao Li and Yiming Bao are co-corresponding authors.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, F., Guo, X., Bao, Y. et al. The role of ribosomal DNA methylation in embryonic development, aging and diseases. Epigenetics & Chromatin 17, 23 (2024). https://doi.org/10.1186/s13072-024-00548-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13072-024-00548-4

Keywords

Epigenetics & Chromatin

ISSN: 1756-8935