Estimation of chimpanzee age based on DNA methylation

Abstract In wild animal conservation, knowing the age of an individual animal is extremely beneficial. However, estimating the age is difficult for many species. Recently, epigenetics-based methods of estimating age have been reported. These studies were predominantly on humans with few reports on o...

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Autores principales:	Hideyuki Ito, Toshifumi Udono, Satoshi Hirata, Miho Inoue-Murayama
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9d6c63003b6b42abb814757204e33e13
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spelling	oai:doaj.org-article:9d6c63003b6b42abb814757204e33e132021-12-02T11:41:13ZEstimation of chimpanzee age based on DNA methylation10.1038/s41598-018-28318-92045-2322https://doaj.org/article/9d6c63003b6b42abb814757204e33e132018-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-28318-9https://doaj.org/toc/2045-2322Abstract In wild animal conservation, knowing the age of an individual animal is extremely beneficial. However, estimating the age is difficult for many species. Recently, epigenetics-based methods of estimating age have been reported. These studies were predominantly on humans with few reports on other animals, especially wild animals. In the present study, a chimpanzee (Pan troglodytes) age prediction model was developed based on the ELOVL2, CCDC102B, and ZNF423 genes that may also have application in human age prediction. Pyrosequencing was used to measure methylation in 20 chimpanzee blood samples and correlation between age and methylation status was calculated. Age and methylation of sites in ELOVL2 and CCDC102B were significantly correlated and an age prediction model was created using these genes. In the regression equation using only ELOVL2, the highest correlation coefficient was 0.741, with a mean absolute deviation (MAD) of 5.41, compared with the combination of ELOVL2 and CCDC102B, where the highest correlation coefficient was 0.742 and the MAD was 5.41. Although larger MADs were observed in chimpanzees than in humans based on these genes, the results indicate the feasibility of estimating chimpanzee age using DNA methylation, and can have implications in understanding the ecology of chimpanzees and chimpanzee conservation.Hideyuki ItoToshifumi UdonoSatoshi HirataMiho Inoue-MurayamaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-5 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hideyuki Ito Toshifumi Udono Satoshi Hirata Miho Inoue-Murayama Estimation of chimpanzee age based on DNA methylation
description	Abstract In wild animal conservation, knowing the age of an individual animal is extremely beneficial. However, estimating the age is difficult for many species. Recently, epigenetics-based methods of estimating age have been reported. These studies were predominantly on humans with few reports on other animals, especially wild animals. In the present study, a chimpanzee (Pan troglodytes) age prediction model was developed based on the ELOVL2, CCDC102B, and ZNF423 genes that may also have application in human age prediction. Pyrosequencing was used to measure methylation in 20 chimpanzee blood samples and correlation between age and methylation status was calculated. Age and methylation of sites in ELOVL2 and CCDC102B were significantly correlated and an age prediction model was created using these genes. In the regression equation using only ELOVL2, the highest correlation coefficient was 0.741, with a mean absolute deviation (MAD) of 5.41, compared with the combination of ELOVL2 and CCDC102B, where the highest correlation coefficient was 0.742 and the MAD was 5.41. Although larger MADs were observed in chimpanzees than in humans based on these genes, the results indicate the feasibility of estimating chimpanzee age using DNA methylation, and can have implications in understanding the ecology of chimpanzees and chimpanzee conservation.
format	article
author	Hideyuki Ito Toshifumi Udono Satoshi Hirata Miho Inoue-Murayama
author_facet	Hideyuki Ito Toshifumi Udono Satoshi Hirata Miho Inoue-Murayama
author_sort	Hideyuki Ito
title	Estimation of chimpanzee age based on DNA methylation
title_short	Estimation of chimpanzee age based on DNA methylation
title_full	Estimation of chimpanzee age based on DNA methylation
title_fullStr	Estimation of chimpanzee age based on DNA methylation
title_full_unstemmed	Estimation of chimpanzee age based on DNA methylation
title_sort	estimation of chimpanzee age based on dna methylation
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/9d6c63003b6b42abb814757204e33e13
work_keys_str_mv	AT hideyukiito estimationofchimpanzeeagebasedondnamethylation AT toshifumiudono estimationofchimpanzeeagebasedondnamethylation AT satoshihirata estimationofchimpanzeeagebasedondnamethylation AT mihoinouemurayama estimationofchimpanzeeagebasedondnamethylation
_version_	1718395415334748160

Estimation of chimpanzee age based on DNA methylation

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