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Molecular biomarkers for chronological age in animal ecology


Jarman, SN and Polanowski, AM and Faux, CE and Robbins, J and De Paoli-Iseppi, R and Bravington, M and Deagle, BE, Molecular biomarkers for chronological age in animal ecology, Molecular Ecology, 24, (19) pp. 4826-4847. ISSN 0962-1083 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 John Wiley & Sons Ltd

DOI: doi:10.1111/mec.13357


The chronological age of an individual animal predicts many of its biological characteristics, and these in turn influence population-level ecological processes. Animal age information can therefore be valuable in ecological research, but many species have no external features that allow age to be reliably determined. Molecular age biomarkers provide a potential solution to this problem. Research in this area of molecular ecology has so far focused on a limited range of age biomarkers. The most commonly tested molecular age biomarker is change in average telomere length, which predicts age well in a small number of species and tissues, but performs poorly in many other situations. Epigenetic regulation of gene expression has recently been shown to cause age-related modifications to DNA and to cause changes in abundance of several RNA types throughout animal lifespans. Age biomarkers based on these epigenetic changes, and other new DNA-based assays, have already been applied to model organisms, humans and a limited number of wild animals. There is clear potential to apply these marker types more widely in ecological studies. For many species, these new approaches will produce age estimates where this was previously impractical. They will also enable age information to be gathered in cross-sectional studies and expand the range of demographic characteristics that can be quantified with molecular methods. We describe the range of molecular age biomarkers that have been investigated to date and suggest approaches for developing the newer marker types as age assays in nonmodel animal species.

Item Details

Item Type:Refereed Article
Keywords:DNA methylation, epigenetic, gerontology, kinship, miRNA
Research Division:Biological Sciences
Research Group:Zoology
Research Field:Animal cell and molecular biology
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:De Paoli-Iseppi, R (Mr Ricardo De Paoli-Iseppi)
ID Code:106653
Year Published:2015
Web of Science® Times Cited:35
Deposited By:IMAS Research and Education Centre
Deposited On:2016-02-17
Last Modified:2016-11-16

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