Literature DB >> 19732045

Epigenetic gambling and epigenetic drift as an antagonistic pleiotropic mechanism of aging.

George M Martin1.   

Abstract

Generations of biogerontologists have been puzzled by the marked intraspecific variations in lifespan of their experimental model organisms despite all efforts to control both genotype and environment. The most cogent example comes from life table studies of wild-type Caenorhabditis elegans when grown in suspension cultures using axenic media. While nuclear and mitochondrial somatic mutations and 'thermodynamic noise' likely contribute to such lifespan variegations, I raise an additional hypothetical mechanism, one that may have evolved as a mechanism of phenotypic variation which could have preceded the evolution of meiotic recombination. I suggest that random changes in cellular gene expression (cellular epigenetic gambling or bet hedging) evolved as an adaptive mechanism to ensure survival of members of a group in the face of unpredictable environmental challenges. Once activated, it could lead to progressive epigenetic variegation (epigenetic drift) amongst all members of the group. Thus, while particular patterns of gene expression would be adaptive for a subset of reproductive individuals within a population early in life, once initiated, I predict that continued epigenetic drift will result in variable onsets and patterns of pathophysiology--perhaps yet another example of antagonistic pleiotropic gene action in the genesis of senescent phenotypes. The weakness of this hypothesis is that we do not currently have a plausible molecular mechanism for the putative genetic 'randomizer' of epigenetic expression, particularly one whose 'setting' may be responsive to the ecology in which a given species evolves. I offer experimental approaches, however, to search for the elusive epigenetic gambler(s).

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Mesh:

Year:  2009        PMID: 19732045     DOI: 10.1111/j.1474-9726.2009.00515.x

Source DB:  PubMed          Journal:  Aging Cell        ISSN: 1474-9718            Impact factor:   9.304


  32 in total

Review 1.  The biology of aging: 1985-2010 and beyond.

Authors:  George M Martin
Journal:  FASEB J       Date:  2011-11       Impact factor: 5.191

2.  Commentary: a gerontological perspective on Klaus Gärtner's discovery that phenotypic variability of mammals is driven by stochastic events.

Authors:  George M Martin
Journal:  Int J Epidemiol       Date:  2012-01-20       Impact factor: 7.196

3.  Is epidemiology ready for epigenetics?

Authors:  Caroline L Relton; George Davey Smith
Journal:  Int J Epidemiol       Date:  2012-02       Impact factor: 7.196

Review 4.  Stochastic modulations of the pace and patterns of ageing: impacts on quasi-stochastic distributions of multiple geriatric pathologies.

Authors:  George M Martin
Journal:  Mech Ageing Dev       Date:  2011-09-22       Impact factor: 5.432

Review 5.  So! What's aging? Is cardiovascular aging a disease?

Authors:  Edward G Lakatta
Journal:  J Mol Cell Cardiol       Date:  2015-04-11       Impact factor: 5.000

Review 6.  Using zebrafish models to explore genetic and epigenetic impacts on evolutionary developmental origins of aging.

Authors:  Shuji Kishi
Journal:  Transl Res       Date:  2013-10-25       Impact factor: 7.012

Review 7.  Dark matters in AMD genetics: epigenetics and stochasticity.

Authors:  Leonard M Hjelmeland
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-01       Impact factor: 4.799

Review 8.  Stochastic developmental variation, an epigenetic source of phenotypic diversity with far-reaching biological consequences.

Authors:  Günter Vogt
Journal:  J Biosci       Date:  2015-03       Impact factor: 1.826

9.  Quantification of retinal pigment epithelial phenotypic variation using laser scanning cytometry.

Authors:  L M Hjelmeland; A Fujikawa; S L Oltjen; Z Smit-McBride; D Braunschweig
Journal:  Mol Vis       Date:  2010-06-16       Impact factor: 2.367

Review 10.  Fat tissue, aging, and cellular senescence.

Authors:  Tamara Tchkonia; Dean E Morbeck; Thomas Von Zglinicki; Jan Van Deursen; Joseph Lustgarten; Heidi Scrable; Sundeep Khosla; Michael D Jensen; James L Kirkland
Journal:  Aging Cell       Date:  2010-08-15       Impact factor: 9.304

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