Rxivist logo

An epigenetic clock to estimate the age of living beluga whales

By Eleanor K. Bors, C. Scott Baker, Paul R. Wade, Kaimyn O’Neill, Kim E.W. Shelden, Michael J. Thompson, Zhe Fei, Simon Jarman, Steve Horvath

Posted 29 Sep 2020
bioRxiv DOI: 10.1101/2020.09.28.317610

Introduction DNA methylation data facilitate the development of accurate molecular estimators of chronological age, or ‘epigenetic clocks.’ We present a robust epigenetic clock for the beluga whale, Delphinapterus leucas, developed for an endangered population in Cook Inlet, Alaska, USA. Methods and Results We used a custom methylation array to measure methylation levels at 37,491 cytosine-guanine sites (CpGs) from skin samples of dead whales (n = 67) whose chronological ages were estimated based on tooth growth layer groups. Using these calibration data, a penalized regression model selected 23 CpGs, providing an R2 = 0.92 for the training data; and an R2 = 0.74 and median absolute age error = 2.9 years for the leave one out cross-validation. We applied the epigenetic clock to an independent data set of 38 skin samples collected with a biopsy dart from living whales between 2016 and 2018. Age estimates ranged from 11 to 27 years. We also report sex correlations in CpG data and describe an approach of identifying the sex of an animal using DNA methylation. Discussion The epigenetic estimators of age and sex presented here have broad applications for conservation and management of Cook Inlet beluga whales and potentially other cetaceans. ### Competing Interest Statement SH is a founder of the non-profit Epigenetic Clock Development Foundation which plans to license several of his patents from his employer UC Regents. The other authors declare no conflicts of interest.

Download data

  • Downloaded 250 times
  • Download rankings, all-time:
    • Site-wide: 118,268
    • In developmental biology: 3,210
  • Year to date:
    • Site-wide: 95,534
  • Since beginning of last month:
    • Site-wide: 101,014

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide