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A DNA methylation age predictor for zebrafish
Changes in DNA methylation at specific CpG sites have been used to build predictive models to estimate animal age, predominantly in mammals. Little testing for this effect has been conducted in other vertebrate groups, such as bony fish, the largest vertebrate class. The development of most age-pred...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803548/ https://www.ncbi.nlm.nih.gov/pubmed/33353889 http://dx.doi.org/10.18632/aging.202400 |
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author | Mayne, Benjamin Korbie, Darren Kenchington, Lisa Ezzy, Ben Berry, Oliver Jarman, Simon |
author_facet | Mayne, Benjamin Korbie, Darren Kenchington, Lisa Ezzy, Ben Berry, Oliver Jarman, Simon |
author_sort | Mayne, Benjamin |
collection | PubMed |
description | Changes in DNA methylation at specific CpG sites have been used to build predictive models to estimate animal age, predominantly in mammals. Little testing for this effect has been conducted in other vertebrate groups, such as bony fish, the largest vertebrate class. The development of most age-predictive models has relied on a genome-wide sequencing method to obtain a DNA methylation level, which makes it costly to deploy as an assay to estimate age in many samples. Here, we have generated a reduced representation bisulfite sequencing data set of caudal fin tissue from a model fish species, zebrafish (Danio rerio), aged from 11.9-60.1 weeks. We identified changes in methylation at specific CpG sites that correlated strongly with increasing age. Using an optimised unique set of 26 CpG sites we developed a multiplex PCR assay that predicts age with an average median absolute error rate of 3.2 weeks in zebrafish between 10.9-78.1 weeks of age. We also demonstrate the use of multiplex PCR as an efficient quantitative approach to measure DNA methylation for the use of age estimation. This study highlights the potential further use of DNA methylation as an age estimation method in non-mammalian vertebrate species. |
format | Online Article Text |
id | pubmed-7803548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-78035482021-01-15 A DNA methylation age predictor for zebrafish Mayne, Benjamin Korbie, Darren Kenchington, Lisa Ezzy, Ben Berry, Oliver Jarman, Simon Aging (Albany NY) Research Paper Changes in DNA methylation at specific CpG sites have been used to build predictive models to estimate animal age, predominantly in mammals. Little testing for this effect has been conducted in other vertebrate groups, such as bony fish, the largest vertebrate class. The development of most age-predictive models has relied on a genome-wide sequencing method to obtain a DNA methylation level, which makes it costly to deploy as an assay to estimate age in many samples. Here, we have generated a reduced representation bisulfite sequencing data set of caudal fin tissue from a model fish species, zebrafish (Danio rerio), aged from 11.9-60.1 weeks. We identified changes in methylation at specific CpG sites that correlated strongly with increasing age. Using an optimised unique set of 26 CpG sites we developed a multiplex PCR assay that predicts age with an average median absolute error rate of 3.2 weeks in zebrafish between 10.9-78.1 weeks of age. We also demonstrate the use of multiplex PCR as an efficient quantitative approach to measure DNA methylation for the use of age estimation. This study highlights the potential further use of DNA methylation as an age estimation method in non-mammalian vertebrate species. Impact Journals 2020-12-23 /pmc/articles/PMC7803548/ /pubmed/33353889 http://dx.doi.org/10.18632/aging.202400 Text en Copyright: © 2020 Mayne et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Mayne, Benjamin Korbie, Darren Kenchington, Lisa Ezzy, Ben Berry, Oliver Jarman, Simon A DNA methylation age predictor for zebrafish |
title | A DNA methylation age predictor for zebrafish |
title_full | A DNA methylation age predictor for zebrafish |
title_fullStr | A DNA methylation age predictor for zebrafish |
title_full_unstemmed | A DNA methylation age predictor for zebrafish |
title_short | A DNA methylation age predictor for zebrafish |
title_sort | dna methylation age predictor for zebrafish |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803548/ https://www.ncbi.nlm.nih.gov/pubmed/33353889 http://dx.doi.org/10.18632/aging.202400 |
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