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DNA methylation levels in candidate genes associated with chronological age in mammals are not conserved in a long-lived seabird


De Paoli-Iseppi, R and Polanowski, AM and McMahon, C and Deagle, BE and Dickinson, JL and Hindell, MA and Jarman, SN, DNA methylation levels in candidate genes associated with chronological age in mammals are not conserved in a long-lived seabird, PLoS One, 12, (12) Article e0189181. ISSN 1932-6203 (2017) [Refereed Article]


Copyright Statement

Copyright 2017 De Paoli-Iseppi et al. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1371/journal.pone.0189181


Most seabirds do not have any outward identifiers of their chronological age, so estimation of seabird population age structure generally requires expensive, long-term banding studies. We investigated the potential to use a molecular age biomarker to estimate age in short-tailed shearwaters (Ardenna tenuirostris). We quantified DNA methylation in several A. tenuirostris genes that have shown age-related methylation changes in mammals. In birds ranging from chicks to 21 years of age, bisulphite treated blood and feather DNA was sequenced and methylation levels analysed in 67 CpG sites in 13 target gene regions. From blood samples, five of the top relationships with age were identified in KCNC3 loci (CpG66: R2 = 0.325, p = 0.019). In feather samples ELOVL2 (CpG42: R2 = 0.285, p = 0.00048) and EDARADD (CpG46: R2 = 0.168, p = 0.0067) were also weakly correlated with age. However, the majority of markers had no clear association with age (of 131 comparisons only 12 had a p-value < 0.05) and statistical analysis using a penalised lasso approach did not produce an accurate ageing model. Our data indicate that some age-related signatures identified in orthologous mammalian genes are not conserved in the long-lived short tailed shearwater. Alternative molecular approaches will be required to identify a reliable biomarker of chronological age in these seabirds.

Item Details

Item Type:Refereed Article
Keywords:genomic, epigenetic, aging, population
Research Division:Biological Sciences
Research Group:Genetics
Research Field:Genomics
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Environmental policy, legislation and standards
Objective Field:Environmental lifecycle assessment
UTAS Author:De Paoli-Iseppi, R (Mr Ricardo De Paoli-Iseppi)
UTAS Author:McMahon, C (Dr Clive McMahon)
UTAS Author:Dickinson, JL (Professor Joanne Dickinson)
UTAS Author:Hindell, MA (Professor Mark Hindell)
ID Code:123958
Year Published:2017
Web of Science® Times Cited:3
Deposited By:Menzies Institute for Medical Research
Deposited On:2018-02-02
Last Modified:2018-07-23
Downloads:154 View Download Statistics

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