Literature DB >> 20080672

Evolution in health and medicine Sackler colloquium: Stochastic epigenetic variation as a driving force of development, evolutionary adaptation, and disease.

Andrew P Feinberg1, Rafael A Irizarry.   

Abstract

Neo-Darwinian evolutionary theory is based on exquisite selection of phenotypes caused by small genetic variations, which is the basis of quantitative trait contribution to phenotype and disease. Epigenetics is the study of nonsequence-based changes, such as DNA methylation, heritable during cell division. Previous attempts to incorporate epigenetics into evolutionary thinking have focused on Lamarckian inheritance, that is, environmentally directed epigenetic changes. Here, we propose a new non-Lamarckian theory for a role of epigenetics in evolution. We suggest that genetic variants that do not change the mean phenotype could change the variability of phenotype; and this could be mediated epigenetically. This inherited stochastic variation model would provide a mechanism to explain an epigenetic role of developmental biology in selectable phenotypic variation, as well as the largely unexplained heritable genetic variation underlying common complex disease. We provide two experimental results as proof of principle. The first result is direct evidence for stochastic epigenetic variation, identifying highly variably DNA-methylated regions in mouse and human liver and mouse brain, associated with development and morphogenesis. The second is a heritable genetic mechanism for variable methylation, namely the loss or gain of CpG dinucleotides over evolutionary time. Finally, we model genetically inherited stochastic variation in evolution, showing that it provides a powerful mechanism for evolutionary adaptation in changing environments that can be mediated epigenetically. These data suggest that genetically inherited propensity to phenotypic variability, even with no change in the mean phenotype, substantially increases fitness while increasing the disease susceptibility of a population with a changing environment.

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Year:  2009        PMID: 20080672      PMCID: PMC2868296          DOI: 10.1073/pnas.0906183107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  18 in total

1.  Comprehensive high-throughput arrays for relative methylation (CHARM).

Authors:  Rafael A Irizarry; Christine Ladd-Acosta; Benilton Carvalho; Hao Wu; Sheri A Brandenburg; Jeffrey A Jeddeloh; Bo Wen; Andrew P Feinberg
Journal:  Genome Res       Date:  2008-03-03       Impact factor: 9.043

2.  Production of different phenotypes from the same genotype in the same environment by developmental variation.

Authors:  Günter Vogt; Martin Huber; Markus Thiemann; Gerald van den Boogaart; Oliver J Schmitz; Christoph D Schubart
Journal:  J Exp Biol       Date:  2008-02       Impact factor: 3.312

3.  Widespread monoallelic expression on human autosomes.

Authors:  Alexander Gimelbrant; John N Hutchinson; Benjamin R Thompson; Andrew Chess
Journal:  Science       Date:  2007-11-16       Impact factor: 47.728

Review 4.  Transgenerational genetic effects on phenotypic variation and disease risk.

Authors:  Joseph H Nadeau
Journal:  Hum Mol Genet       Date:  2009-10-15       Impact factor: 6.150

5.  Hypervariable allelic expression patterns of the imprinted IGF2 gene in tumor cells.

Authors:  L He; H Cui; C Walsh; R Mattsson; W Lin; G Anneren; S Pfeifer-Ohlsson; R Ohlsson
Journal:  Oncogene       Date:  1998-01-08       Impact factor: 9.867

Review 6.  8. The development and evolution of division of labor and foraging specialization in a social insect (Apis mellifera L.).

Authors:  Robert E Page; Ricarda Scheiner; Joachim Erber; Gro V Amdam
Journal:  Curr Top Dev Biol       Date:  2006       Impact factor: 4.897

7.  Maternal methyl supplements in mice affect epigenetic variation and DNA methylation of offspring.

Authors:  Craig A Cooney; Apurva A Dave; George L Wolff
Journal:  J Nutr       Date:  2002-08       Impact factor: 4.798

8.  Transposable elements: targets for early nutritional effects on epigenetic gene regulation.

Authors:  Robert A Waterland; Randy L Jirtle
Journal:  Mol Cell Biol       Date:  2003-08       Impact factor: 4.272

9.  Influence of methionine on the mutation frequency in Salmonella typhimurium.

Authors:  C Janion
Journal:  Mutat Res       Date:  1982-06       Impact factor: 2.433

Review 10.  Epigenetic regulation of aging in honeybee workers.

Authors:  Stig W Omholt; Gro V Amdam
Journal:  Sci Aging Knowledge Environ       Date:  2004-06-30
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  210 in total

1.  The penetrance of an epigenetic trait in mice is progressively yet reversibly increased by selection and environment.

Authors:  Jennifer E Cropley; Thurston H Y Dang; David I K Martin; Catherine M Suter
Journal:  Proc Biol Sci       Date:  2012-02-08       Impact factor: 5.349

2.  Bump hunting to identify differentially methylated regions in epigenetic epidemiology studies.

Authors:  Andrew E Jaffe; Peter Murakami; Hwajin Lee; Jeffrey T Leek; M Daniele Fallin; Andrew P Feinberg; Rafael A Irizarry
Journal:  Int J Epidemiol       Date:  2012-02       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

4.  Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease.

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

Review 5.  The epigenomic interface between genome and environment in common complex diseases.

Authors:  Christopher G Bell; Stephan Beck
Journal:  Brief Funct Genomics       Date:  2010-11-08       Impact factor: 4.241

6.  On the evolution of mutation in changing environments: recombination and phenotypic switching.

Authors:  Uri Liberman; Jeremy Van Cleve; Marcus W Feldman
Journal:  Genetics       Date:  2011-01-06       Impact factor: 4.562

7.  Genetic Control of Environmental Variation of Two Quantitative Traits of Drosophila melanogaster Revealed by Whole-Genome Sequencing.

Authors:  Peter Sørensen; Gustavo de los Campos; Fabio Morgante; Trudy F C Mackay; Daniel Sorensen
Journal:  Genetics       Date:  2015-08-12       Impact factor: 4.562

8.  Phenotypic Plasticity Promotes Balanced Polymorphism in Periodic Environments by a Genomic Storage Effect.

Authors:  Davorka Gulisija; Yuseob Kim; Joshua B Plotkin
Journal:  Genetics       Date:  2016-02-08       Impact factor: 4.562

9.  Genetics: profiling DNA methylation and beyond.

Authors:  Vivien Marx
Journal:  Nat Methods       Date:  2016-02       Impact factor: 28.547

10.  Neuronal plasticity and antidepressant actions.

Authors:  Eero Castrén; René Hen
Journal:  Trends Neurosci       Date:  2013-02-01       Impact factor: 13.837

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