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DNA methylation predicts age and provides insight into exceptional longevity of bats

Gerald S. Wilkinson*, Danielle M. Adams, Amin Haghani, Ake T. Lu, Joseph Zoller, Charles E. Breeze, Bryan D. Arnold, Hope C. Ball, Gerald G. Carter, Lisa Noelle Cooper, Dina K. N. Dechmann, Paolo Devanna, Nicolas J. Fasel, Alexander V. Galazyuk, Linus Günther, Edward Hurme, Gareth Jones, Mirjam Knörnschild, Ella Z. Lattenkamp, Caesar Z. LiFrieder Mayer, Josephine A. Reinhardt, Rodrigo A. Medellin, Martina Nagy, Brian Pope, Megan L. Power, Roger D. Ransome, Emma C. Teeling, Sonja C. Vernes, Daniel Zamora-Mejías, Joshua Zhang, Paul A. Faure, Lucas J. Greville, Steve Horvath*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Exceptionally long-lived species, including many bats, rarely show overt signs of aging, making it difficult to determine why species differ in lifespan. Here, we use DNA methylation (DNAm) profiles from 712 known-age bats, representing 26 species, to identify epigenetic changes associated with age and longevity. We demonstrate that DNAm accurately predicts chronological age. Across species, longevity is negatively associated with the rate of DNAm change at age-associated sites. Furthermore, analysis of several bat genomes reveals that hypermethylated age- and longevity-associated sites are disproportionately located in promoter regions of key transcription factors (TF) and enriched for histone and chromatin features associated with transcriptional regulation. Predicted TF binding site motifs and enrichment analyses indicate that age-related methylation change is influenced by developmental processes, while longevity-related DNAm change is associated with innate immunity or tumorigenesis genes, suggesting that bat longevity results from augmented immune response and cancer suppression.
Original languageEnglish
Article number1615
Number of pages13
JournalNature Communications
Volume12
DOIs
Publication statusPublished - 12 Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Ageing
  • Epigenomics
  • Methylation analysis

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  • Author correction: DNA methylation predicts age and provides insight into exceptional longevity of bats

    Wilkinson, G. S., Adams, D. M., Haghani, A., Lu, A. T., Zoller, J., Breeze, C. E., Arnold, B. D., Ball, H. C., Carter, G. G., Cooper, L. N., Dechmann, D. K. N., Devanna, P., Fasel, N. J., Galazyuk, A. V., Günther, L., Hurme, E., Jones, G., Knörnschild, M., Lattenkamp, E. Z. & Li, C. Z. & 16 others, Mayer, F., Reinhardt, J. A., Medellin, R. A., Nagy, M., Pope, B., Power, M. L., Ransome, R. D., Teeling, E. C., Vernes, S. C., Zamora-Mejías, D., Zhang, J., Faure, P. A., Greville, L. J., Herrera M., L. G., Flores-Martínez, J. J. & Horvath, S., 7 Sept 2022, In: Nature Communications. 13, 1 p., 5266.

    Research output: Contribution to journalComment/debatepeer-review

    Open Access

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