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Molecular biomarkers for chronological age in animal ecology.
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- Author(s): Jarman SN;Jarman SN; Polanowski AM; Polanowski AM; Faux CE; Faux CE; Robbins J; Robbins J; De Paoli-Iseppi R; De Paoli-Iseppi R; De Paoli-Iseppi R; Bravington M; Bravington M; Deagle BE; Deagle BE
- Source:
Molecular ecology [Mol Ecol] 2015 Oct; Vol. 24 (19), pp. 4826-47.- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't; Review- Language:
English - Source:
- Additional Information
- Source: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9214478 Publication Model: Print Cited Medium: Internet ISSN: 1365-294X (Electronic) Linking ISSN: 09621083 NLM ISO Abbreviation: Mol Ecol Subsets: MEDLINE
- Publication Information: Original Publication: Oxford, UK : Blackwell Scientific Publications, c1992-
- Subject Terms:
- Abstract: 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.
(© 2015 John Wiley & Sons Ltd.) - Contributed Indexing: Keywords: DNA methylation; epigenetic; gerontology; kinship; miRNA
- Accession Number: 0 (Biomarkers)
- Publication Date: Date Created: 20150827 Date Completed: 20160108 Latest Revision: 20150930
- Publication Date: 20231215
- Accession Number: 10.1111/mec.13357
- Accession Number: 26308242
- Source:
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