Literature DB >> 22519791

A model for genomic imprinting in the social brain: elders.

Francisco Úbeda1, Andy Gardner.   

Abstract

Genomic imprinting refers to the process whereby genes are silenced when inherited via sperm or egg. The most widely accepted theory for the evolution of genomic imprinting-the kinship theory-argues that conflict between maternally inherited and paternally inherited genes over phenotypes with asymmetric effects on matrilineal and patrilineal kin results in self-imposed silencing of one of the copies. This theory was originally developed in the context of fitness interactions within nuclear families, to understand intragenomic conflict in the embryo and infant, but it has recently been extended to encompass interactions within wider social groups, to understand intragenomic conflict over the social behavior of juveniles and adults. Here, we complete our model of genomic imprinting in the social brain by considering age-specific levels of expression in a society were generations overlap, to determine how intragenomic conflict plays out in older age. We determine the role of sex bias in juvenile dispersal, reproductive success, and adult mortality in mediating the direction and intensity of conflict over the competing demands of parental and communal care as the individual ages. We discover that sex-specific asymmetries in these demographic parameters result in intragenomic conflict at early age but this conflict gradually decays with age. Although individuals are riven by internal conflict in their youth and middle age, they put their demons to rest in later life.
© 2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.

Entities:  

Mesh:

Year:  2011        PMID: 22519791     DOI: 10.1111/j.1558-5646.2011.01517.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  15 in total

1.  First principles of Hamiltonian medicine.

Authors:  Bernard Crespi; Kevin Foster; Francisco Úbeda
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-03-31       Impact factor: 6.237

Review 2.  Coadaptation and conflict, misconception and muddle, in the evolution of genomic imprinting.

Authors:  D Haig
Journal:  Heredity (Edinb)       Date:  2013-10-16       Impact factor: 3.821

3.  Intragenomic conflict over bet-hedging.

Authors:  Jon F Wilkins; Tanmoy Bhattacharya
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-02-18       Impact factor: 6.237

Review 4.  Specialists and generalists: the sexual ecology of the genome.

Authors:  David Haig; Francisco Úbeda; Manus M Patten
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-07-24       Impact factor: 10.005

5.  Genomic imprinting and the units of adaptation.

Authors:  A Gardner
Journal:  Heredity (Edinb)       Date:  2014-02-05       Impact factor: 3.821

Review 6.  The evolution of genomic imprinting: theories, predictions and empirical tests.

Authors:  M M Patten; L Ross; J P Curley; D C Queller; R Bonduriansky; J B Wolf
Journal:  Heredity (Edinb)       Date:  2014-04-23       Impact factor: 3.821

7.  Mother and offspring in conflict: why not?

Authors:  Francisco Úbeda; Andy Gardner
Journal:  PLoS Biol       Date:  2015-03-18       Impact factor: 8.029

8.  Empirical testing of hypotheses about the evolution of genomic imprinting in mammals.

Authors:  David G Ashbrook; Reinmar Hager
Journal:  Front Neuroanat       Date:  2013-04-30       Impact factor: 3.856

9.  Developmental programming mediated by complementary roles of imprinted Grb10 in mother and pup.

Authors:  Michael Cowley; Alastair S Garfield; Marta Madon-Simon; Marika Charalambous; Richard W Clarkson; Matthew J Smalley; Howard Kendrick; Anthony R Isles; Aled J Parry; Sara Carney; Rebecca J Oakey; Lora K Heisler; Kim Moorwood; Jason B Wolf; Andrew Ward
Journal:  PLoS Biol       Date:  2014-02-25       Impact factor: 8.029

10.  Ecology drives intragenomic conflict over menopause.

Authors:  Francisco Úbeda; Hisashi Ohtsuki; Andy Gardner
Journal:  Ecol Lett       Date:  2013-12-09       Impact factor: 9.492

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