Literature DB >> 15071072

The evolution of programmed death in a spatially structured population.

Justin M J Travis1.   

Abstract

Recent studies have identified a number of genes that regulate life span. When these genes are inactivated, organisms live longer, but suffer no obvious adverse effects. These results have generated considerable debate, largely because current evolutionary theory is unable to explain them. In this article, I report results from an individual-based spatial model in which a programmed age of death is allowed to evolve. In a freely mixing population with global dispersal, evolution selects for individuals with ever-increasing life span. However, in a spatially structured population with localized dispersal, a programmed age of death evolves. The exact age of death that evolves depends critically on the scale of dispersal. Within this model, individuals are genetically programmed to die, even though they are still able to reproduce. These results suggest that death can be adaptive and offer an explanation for the evolution of "death genes."

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Year:  2004        PMID: 15071072     DOI: 10.1093/gerona/59.4.b301

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  12 in total

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2.  THE (A)SYMMETRY OF THE MALE GRAYING BEARD HAIRS AS AN INDICATION OF THE PROGRAMMED AGING PROCESS.

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Review 3.  Kinship dynamics: patterns and consequences of changes in local relatedness.

Authors:  Darren P Croft; Michael N Weiss; Mia L K Nielsen; Charli Grimes; Michael A Cant; Samuel Ellis; Daniel W Franks; Rufus A Johnstone
Journal:  Proc Biol Sci       Date:  2021-08-18       Impact factor: 5.530

4.  Death happy: adaptive ageing and its evolution by kin selection in organisms with colonial ecology.

Authors:  Evgeniy R Galimov; David Gems
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-03-08       Impact factor: 6.237

5.  Change and aging senescence as an adaptation.

Authors:  André C R Martins
Journal:  PLoS One       Date:  2011-09-16       Impact factor: 3.240

6.  Theory and associated phenomenology for intrinsic mortality arising from natural selection.

Authors:  Justin Werfel; Donald E Ingber; Yaneer Bar-Yam
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

Review 7.  Does senescence promote fitness in Caenorhabditis elegans by causing death?

Authors:  Jennifer N Lohr; Evgeniy R Galimov; David Gems
Journal:  Ageing Res Rev       Date:  2019-01-09       Impact factor: 10.895

8.  Shorter life and reduced fecundity can increase colony fitness in virtual Caenorhabditis elegans.

Authors:  Evgeniy R Galimov; David Gems
Journal:  Aging Cell       Date:  2020-04-16       Impact factor: 9.304

9.  Evolution favours aging in populations with assortative mating and in sexually dimorphic populations.

Authors:  Peter Lenart; Julie Bienertová-Vašků; Luděk Berec
Journal:  Sci Rep       Date:  2018-10-30       Impact factor: 4.379

10.  Senescence: why and where selection gradients might not decline with age.

Authors:  Mark Roper; Pol Capdevila; Roberto Salguero-Gómez
Journal:  Proc Biol Sci       Date:  2021-07-21       Impact factor: 5.349

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