IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-43417-6.html
   My bibliography  Save this article

The rate of epigenetic drift scales with maximum lifespan across mammals

Author

Listed:
  • Emily M. Bertucci-Richter

    (University of Georgia
    University of Georgia)

  • Benjamin B. Parrott

    (University of Georgia
    University of Georgia)

Abstract

Epigenetic drift or “disorder” increases across the mouse lifespan and is suggested to underlie epigenetic clock signals. While the role of epigenetic drift in determining maximum lifespan across species has been debated, robust tests of this hypothesis are lacking. Here, we test if epigenetic disorder at various levels of genomic resolution explains maximum lifespan across four mammal species. We show that epigenetic disorder increases with age in all species and at all levels of genomic resolution tested. The rate of disorder accumulation occurs faster in shorter lived species and corresponds to species adjusted maximum lifespan. While the density of cytosine-phosphate-guanine dinucleotides (“CpGs”) is negatively associated with the rate of age-associated disorder accumulation, it does not fully explain differences across species. Our findings support the hypothesis that the rate of epigenetic drift explains maximum lifespan and provide partial support for the hypothesis that CpG density buffers against epigenetic drift.

Suggested Citation

  • Emily M. Bertucci-Richter & Benjamin B. Parrott, 2023. "The rate of epigenetic drift scales with maximum lifespan across mammals," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43417-6
    DOI: 10.1038/s41467-023-43417-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-43417-6
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-43417-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Owen R. Jones & Alexander Scheuerlein & Roberto Salguero-Gómez & Carlo Giovanni Camarda & Ralf Schaible & Brenda B. Casper & Johan P. Dahlgren & Johan Ehrlén & María B. García & Eric S. Menges & Pedro, 2014. "Diversity of ageing across the tree of life," Nature, Nature, vol. 505(7482), pages 169-173, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aburto, José Manuel & Basellini, Ugofilippo & Baudisch, Annette & Villavicencio, Francisco, 2022. "Drewnowski’s index to measure lifespan variation: Revisiting the Gini coefficient of the life table," Theoretical Population Biology, Elsevier, vol. 148(C), pages 1-10.
    2. Laura Carbonell-Hernández & Diego Pastor & Alejandro Jiménez-Loaisa & Juan Arturo Ballester-Ferrer & Carlos Montero-Carretero & Eduardo Cervelló, 2020. "Lack of Correlation between Accelerometers and Heart-Rate Monitorization during Exercise Session in Older Adults," IJERPH, MDPI, vol. 17(15), pages 1-10, July.
    3. Stefano Giaimo & Arne Traulsen, 2022. "The selection force weakens with age because ageing evolves and not vice versa," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    4. Giaimo, Stefano, 2022. "Selection on age-specific survival: Constant versus fluctuating environment," Theoretical Population Biology, Elsevier, vol. 145(C), pages 136-149.
    5. Krish Sanghvi & Regina Vega-Trejo & Shinichi Nakagawa & Samuel J. L. Gascoigne & Sheri L. Johnson & Roberto Salguero-Gómez & Tommaso Pizzari & Irem Sepil, 2024. "Meta-analysis shows no consistent evidence for senescence in ejaculate traits across animals," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    6. Carlo Giovanni Camarda, 2019. "Smooth constrained mortality forecasting," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(38), pages 1091-1130.
    7. Yifan Yang & Omer Karin & Avi Mayo & Xiaohu Song & Peipei Chen & Ana L. Santos & Ariel B. Lindner & Uri Alon, 2023. "Damage dynamics and the role of chance in the timing of E. coli cell death," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Christina Bohk & Roland Rau & Joel E. Cohen, 2015. "Taylor's power law in human mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(21), pages 589-610.
    9. Jos'e Manuel Aburto & Ugofilippo Basellini & Annette Baudisch & Francisco Villavicencio, 2021. "Drewnowski's index to measure lifespan variation: Revisiting the Gini coefficient of the life table," Papers 2111.11256, arXiv.org.
    10. Patricia R. Pitrez & Luis M. Monteiro & Oliver Borgogno & Xavier Nissan & Jerome Mertens & Lino Ferreira, 2024. "Cellular reprogramming as a tool to model human aging in a dish," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    11. Hilary Cope & Edward R Ivimey-Cook & Jacob Moorad, 2022. "Triparental ageing in a laboratory population of an insect with maternal care [Male age alone predicts paternity success under sperm competition when effects of age and past mating effort are exper," Behavioral Ecology, International Society for Behavioral Ecology, vol. 33(6), pages 1123-1132.
    12. Tsuzuki, Yoichi & Takada, Takenori & Ohara, Masashi, 2022. "Modeling temporal dynamics of genetic diversity in stage-structured plant populations with reference to demographic genetic structure," Theoretical Population Biology, Elsevier, vol. 148(C), pages 76-85.
    13. Serena Vigezzi & Jose Manuel Aburto & Iñaki Permanyer & Virginia Zarulli, 2022. "Divergent trends in lifespan variation during mortality crises," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(11), pages 291-336.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43417-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.