bioRxivEvolutionary BiologyPreprint
Epigenetic predictors of maximum lifespan and other life history traits in mammals
C. Z. Li, A. Haghani, T. R. Robeck, D. Villar, A. T. Lu, J. Zhang, C. G. Faulkes, H. Vu, J. Ablaeva, D. M. Adams, R. Ardehali, A. Arneson, C. S. Baker, K. Belov, D. T. Blumstein, E. K. Bors, C. E. Breeze, R. T. Brooke, J. L. Brown, A. Caulton, J. M. Cavin, I. Chatzistamou, H. Chen, P. Chiavellini, O.-W. Choi, , A. J. Jasinska
Abstract
Maximum lifespan of a species is the oldest that individuals can survive, reflecting the genetic limit of longevity in an ideal environment. Here we report methylation-based models that accurately predict maximum lifespan (r=0.89), gestational time (r=0.96), and age at sexual maturity (r=0.87), using cytosine methylation patterns collected from over 12,000 samples derived from 192 mammalian species. Our epigenetic maximum lifespan predictor corroborated the extended lifespan in growth hormone receptor knockout mice and rapamycin treated mice. Across dog breeds, epigenetic maximum lifespan correlates positively with breed lifespan but negatively with breed size. Lifespan-related cytosines are located in transcriptional regulatory regions, such as bivalent chromatin promoters and polycomb-repressed regions, which were hypomethylated in long-lived species. The epigenetic estimators of maximum lifespan and other life history traits will be useful for characterizing understudied species and for identifying interventions that extend lifespan.
- organism: mouse
- organism: multiple species
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Epigenetic predictors of species maximum lifespan and other life history traits in mammals
C. Z. Li, A. Haghani, … S. Horvath·bioRxiv·Nov 2, 2023
- Estimating universal mammalian lifespan via age-associated epigenetic entropy
Juan José Alba‐Linares, Juan Ramón Tejedor, … Mario F. Fraga·bioRxiv·Sep 6, 2024
- Fundamental equations linking methylation dynamics to maximum lifespan in mammals
S. Horvath, J. Zhang, … Z. Fei·bioRxiv·May 21, 2023
- Divergent age-related methylation patterns in long and short-lived mammals
A. Haghani, N. Wang, … S. Horvath·bioRxiv·Jan 16, 2022
- DNA methylation rates scale with maximum lifespan across mammals
Samuel Crofts, Eric Latorre Crespo, Tamir Chandra·Nature AgingPeer-reviewed·Dec 4, 2023
- DNA Methylation Networks Underlying Mammalian Traits
A. Haghani, A. T. Lu, … S. Horvath·bioRxiv·Mar 16, 2021