Epigenetic predictors of species maximum life span and other life-history traits in mammals-Reference-Cited by-同舟云学术

Epigenetic predictors of species maximum life span and other life-history traits in mammals

Published:2024-06-07 Issue:23 Volume:10 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Li Caesar Z.¹²³^ORCID,Haghani Amin³⁴^ORCID,Yan Qi¹⁴^ORCID,Lu Ake T.³⁴^ORCID,Zhang Joshua³⁵^ORCID,Fei Zhe¹⁶^ORCID,Ernst Jason⁷^ORCID,Yang X. William⁸⁹^ORCID,Gladyshev Vadim N.¹⁰^ORCID,Robeck Todd R.¹¹^ORCID,Chavez Andreas S.¹²¹³^ORCID,Cook Joseph A.¹⁴^ORCID,Dunnum Jonathan L.¹⁴^ORCID,Raj Ken¹⁵^ORCID,Seluanov Andrei¹⁶^ORCID,Gorbunova Vera¹⁶^ORCID,Horvath Steve¹³⁴¹⁵^ORCID

Affiliation:

1. Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.

2. Johnson & Johnson Innovative Medicine, Spring House, PA, USA.

3. Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

4. Altos Labs, San Diego, CA, USA.

5. Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

6. Department of Statistics, University of California, Riverside, Riverside, CA, USA.

7. Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA.

8. Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.

9. Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

10. Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.

11. Zoological Operations, SeaWorld Parks and Entertainment Inc., Orlando, FL, USA.

12. Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA.

13. Translational Data Analytics Institute, The Ohio State University, Columbus, OH, USA.

14. Department of Biology and Museum of Southwestern Biology, University of New Mexico, Albuquerque, NM, USA.

15. Altos Labs, Cambridge, UK.

16. Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA.

Abstract

By analyzing 15,000 samples from 348 mammalian species, we derive DNA methylation (DNAm) predictors of maximum life span ( R = 0.89), gestation time ( R = 0.96), and age at sexual maturity ( R = 0.85). Our maximum life-span predictor indicates a potential innate longevity advantage for females over males in 17 mammalian species including humans. The DNAm maximum life-span predictions are not affected by caloric restriction or partial reprogramming. Genetic disruptions in the somatotropic axis such as growth hormone receptors have an impact on DNAm maximum life span only in select tissues. Cancer mortality rates show no correlation with our epigenetic estimates of life-history traits. The DNAm maximum life-span predictor does not detect variation in life span between individuals of the same species, such as between the breeds of dogs. Maximum life span is determined in part by an epigenetic signature that is an intrinsic species property and is distinct from the signatures that relate to individual mortality risk.

Publisher

American Association for the Advancement of Science (AAAS)

Link

https://www.science.org/doi/pdf/10.1126/sciadv.adm7273

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