Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.09.19.677260

Epigenetic aging in a self-fertilizing vertebrate, the mangrove rivulus Kryptolebias marmoratus

Abstract

DNA methylation changes predictably with age across taxa, but in most species these patterns are confounded by genetic variation. As a result, age-predictive methylation models have mostly been developed in genetically heterogeneous, cross-fertilizing organisms, limiting inference about epigenetic aging per se. Disentangling epigenetic and genetic effects is therefore essential for understanding aging, adaptation, and evolution. Here, we exploit the mangrove rivulus (Kryptolebias marmoratus), one of only two known self-fertilizing vertebrates (together with K. hermaphroditus), to examine epigenetic aging in a system of naturally occurring near-isogenic individuals. Using reduced-representation bisulfite sequencing of 90 brain samples spanning 60-1100 days of age, we identified 40 CpG sites whose methylation levels predict chronological age with high accuracy (R2 > 0.96, Median Absolute Error of 28.7 days). These 40 age-associated CpG sites were linked to nearby genes with known roles in cellular maintenance and neurodegeneration. These include genes implicated in aging and neurodegenerative processes across vertebrates, such as lamin-A, the aryl hydrocarbon receptor, and genes associated with Alzheimers disease in humans. By leveraging a self-fertilizing vertebrate, this study demonstrates that DNA methylation undergoes consistent, age-associated changes across the lifespan in the near absence of genetic variation. Our results establish self-fertilizing vertebrates as powerful models for disentangling epigenetic aging from genetic effects and provide a foundation for comparative and evolutionary studies of aging. STATEMENTSO_ST_ABSData availabilityC_ST_ABSThe datasets generated and/or analyzed during the current study are available in the NCBI repository, under the ID BioProject ID PRJNA1331489. Funding statementThis work was supported by the FNRS project J.0189.24 "Epigenome Stability in Mangrove Rivulus". Ethics approvalAll research reported in this manuscript was conducted in accordance with institutional and national ethical standards for animal care and use. Experimental procedures involving Kryptolebias marmoratus were approved by the Animal Experimentation Ethics Committee (UN PM KE 23/020). Authors contributionsJB designed the experimental process, conceptualized the article, generated and analyzed the data and wrote the manuscript. FS designed the experimental process, reviewed and edited the manuscript and did validation and supervision. All authors read and approved of the final manuscript. Conflict of interestThe authors declare that they have no competing interests. Patient consent statementNot applicable. Permission to reproduce material from other sourcesNot applicable. Clinical trial registrationNot applicable.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Belik, J., Silvestre, F.. 2025-09-21. Epigenetic aging in a self-fertilizing vertebrate, the mangrove rivulus Kryptolebias marmoratus. https://doi.org/10.1101/2025.09.19.677260

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

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗