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DNA methylation rates scale with maximum lifespan across mammals
Published version of a preprint
Abstract
DNA methylation rates have previously been found to broadly correlate with maximum lifespan in mammals, yet no precise relationship has been observed. We developed a statistically robust framework to compare methylation rates at conserved age-related sites across mammals. We found that methylation rates negatively scale with maximum lifespan in both blood and skin. The emergence of explicit scaling suggests that methylation rates are, or are linked to, an evolutionary constraint on maximum lifespan acting across diverse mammalian lineages.
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Long-lived animals share enhanced DNA repair, reduced molecular error rates and other processes.
“Long-lived animals share enhanced DNA repair3,5,9–11, reduced molecular error rates and other processes6,12–14.”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [14]
Long-living mammals have enhanced repair and reduced error rates in several processes.
“Long-living mammals have indeed been found to have enhanced repair and reduced error rates in several processes (some of which may not drive aging).”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [14]
Cellular error rates inverse to mammalian species lifespan include somatic mutations, epigenetic dysregulation, transcription and translation errors.
“Cellular error rates that have been found to be inverse to mammalian species lifespan include somatic mutations12, epigenetic dysregulation14, transcription and translation errors13.”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [14]
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Somatic mutation rates scale with lifespan across mammals
Cagan, A., Baez-Ortega, A., Brzozowska, N., Abascal, F., Coorens, T. H. H., Sanders, M. A., Lawson, A. R. J., Harvey, L. M. R., Bhosle, S., Jones, D., et al. (2022) · Nature · doi:10.1038/s41586-022-04618-z · Cited by 481
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A damage accumulation model identifies distinct aging regimes across species
Raz, N., Yang, Y., Pridham, G., Shenhar, B., Frenkel, S., Levy, T., Tlusty, T., Mayo, A., & Alon, U. (2026) · Nature Aging · doi:10.1038/s43587-026-01138-7 · Cited by 7
Metadata
- Authors
- Crofts, S. J. C., Latorre-Crespo, E., & Chandra, T.
- Venue
- Nature Aging
- Published
- 2023-12-04
- Volume
- 4
- Issue
- 1
- Pages
- 27-32
- ISSN
- 2662-8465
- PMC
- PMC10798888
- Cited by
- 28
- References
- 5
- Language
- en
- Funders
- RCUK | Medical Research Council (MC_UU_00009/2)
- University of Edinburgh
- T.C. is supported through a Chancellor’s Fellow at the University of Edinburgh and the MRC Human Genetics Unit.
- Wellcome Trust (grant.226831/Z/22/Z)
- E.L.C. is a cross-disciplinary postdoctoral fellow supported by funding from the University of Edinburgh and the Medical Research Council
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