A genomic predictor of lifespan in vertebrates

Benjamin Mayne, Oliver Berry, Campbell Davies, Jessica Farley, Simon Jarman

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Biological ageing and its mechanistic underpinnings are of immense biomedical and ecological significance. Ageing involves the decline of diverse biological functions and places a limit on a species' maximum lifespan. Ageing is associated with epigenetic changes involving DNA methylation. Furthermore, an analysis of mammals showed that the density of CpG sites in gene promoters, which are targets for DNA methylation, is correlated with lifespan. Using 252 whole genomes and databases of animal age and promotor sequences, we show a pattern across vertebrates. We also derive a predictive lifespan clock based on CpG density in a selected set of promoters. The lifespan clock accurately predicts maximum lifespan in vertebrates (R2 = 0.76) from the density of CpG sites within only 42 selected promoters. Our lifespan clock provides a wholly new method for accurately estimating lifespan using genome sequences alone and enables estimation of this challenging parameter for both poorly understood and extinct species.

Original languageEnglish
Article number17866
Number of pages10
JournalScientific Reports
Volume9
DOIs
Publication statusPublished - 12 Dec 2019

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