Literature DB >> 26308242

Molecular biomarkers for chronological age in animal ecology.

Simon N Jarman1, Andrea M Polanowski1, Cassandra E Faux1, Jooke Robbins2, Ricardo De Paoli-Iseppi1,3, Mark Bravington4, Bruce E Deagle1.   

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.

Entities:  

Keywords:  DNA methylation; epigenetic; gerontology; kinship; miRNA

Mesh:

Substances:

Year:  2015        PMID: 26308242     DOI: 10.1111/mec.13357

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  11 in total

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Authors:  Alexey Golubev; Andrew D Hanson; Vadim N Gladyshev
Journal:  Antioxid Redox Signal       Date:  2017-10-17       Impact factor: 8.401

Review 2.  Measuring Animal Age with DNA Methylation: From Humans to Wild Animals.

Authors:  Ricardo De Paoli-Iseppi; Bruce E Deagle; Clive R McMahon; Mark A Hindell; Joanne L Dickinson; Simon N Jarman
Journal:  Front Genet       Date:  2017-08-17       Impact factor: 4.599

3.  Measuring biological age to assess colony demographics in honeybees.

Authors:  Cedric Alaux; Samuel Soubeyrand; Alberto Prado; Mathilde Peruzzi; Alban Maisonnasse; Julien Vallon; Julie Hernandez; Pascal Jourdan; Yves Le Conte
Journal:  PLoS One       Date:  2018-12-13       Impact factor: 3.240

4.  Genetic and genomic monitoring with minimally invasive sampling methods.

Authors:  Emma L Carroll; Mike W Bruford; J Andrew DeWoody; Gregoire Leroy; Alan Strand; Lisette Waits; Jinliang Wang
Journal:  Evol Appl       Date:  2018-03-24       Impact factor: 5.183

5.  Cross-species functional modules link proteostasis to human normal aging.

Authors:  Andrea Komljenovic; Hao Li; Vincenzo Sorrentino; Zoltán Kutalik; Johan Auwerx; Marc Robinson-Rechavi
Journal:  PLoS Comput Biol       Date:  2019-07-03       Impact factor: 4.475

6.  Deep biomarkers of aging are population-dependent.

Authors:  Alan A Cohen; Vincent Morissette-Thomas; Luigi Ferrucci; Linda P Fried
Journal:  Aging (Albany NY)       Date:  2016-09-08       Impact factor: 5.682

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

Authors:  Ricardo De Paoli-Iseppi; Andrea M Polanowski; Clive McMahon; Bruce E Deagle; Joanne L Dickinson; Mark A Hindell; Simon N Jarman
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

8.  Can concentrations of steroid hormones in brown bear hair reveal age class?

Authors:  Marc Cattet; Gordon B Stenhouse; John Boulanger; David M Janz; Luciene Kapronczai; Jon E Swenson; Andreas Zedrosser
Journal:  Conserv Physiol       Date:  2018-01-29       Impact factor: 3.079

9.  Estimation of chimpanzee age based on DNA methylation.

Authors:  Hideyuki Ito; Toshifumi Udono; Satoshi Hirata; Miho Inoue-Murayama
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

10.  Ageing European lobsters (Homarus gammarus) using DNA methylation of evolutionarily conserved ribosomal DNA.

Authors:  Eleanor A Fairfield; David S Richardson; Carly L Daniels; Christopher L Butler; Ewen Bell; Martin I Taylor
Journal:  Evol Appl       Date:  2021-09-23       Impact factor: 5.183

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