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A genomic predictor of lifespan in vertebrates
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. Furthermor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908713/ https://www.ncbi.nlm.nih.gov/pubmed/31831772 http://dx.doi.org/10.1038/s41598-019-54447-w |
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author | Mayne, Benjamin Berry, Oliver Davies, Campbell Farley, Jessica Jarman, Simon |
author_facet | Mayne, Benjamin Berry, Oliver Davies, Campbell Farley, Jessica Jarman, Simon |
author_sort | Mayne, Benjamin |
collection | PubMed |
description | 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 (R(2) = 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. |
format | Online Article Text |
id | pubmed-6908713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69087132019-12-16 A genomic predictor of lifespan in vertebrates Mayne, Benjamin Berry, Oliver Davies, Campbell Farley, Jessica Jarman, Simon Sci Rep Article 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 (R(2) = 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. Nature Publishing Group UK 2019-12-12 /pmc/articles/PMC6908713/ /pubmed/31831772 http://dx.doi.org/10.1038/s41598-019-54447-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mayne, Benjamin Berry, Oliver Davies, Campbell Farley, Jessica Jarman, Simon A genomic predictor of lifespan in vertebrates |
title | A genomic predictor of lifespan in vertebrates |
title_full | A genomic predictor of lifespan in vertebrates |
title_fullStr | A genomic predictor of lifespan in vertebrates |
title_full_unstemmed | A genomic predictor of lifespan in vertebrates |
title_short | A genomic predictor of lifespan in vertebrates |
title_sort | genomic predictor of lifespan in vertebrates |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908713/ https://www.ncbi.nlm.nih.gov/pubmed/31831772 http://dx.doi.org/10.1038/s41598-019-54447-w |
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