Literature DB >> 19147926

Evolution of ageing since Darwin.

Michael R Rose1, Molly K Burke, Parvin Shahrestani, Laurence D Mueller.   

Abstract

In the late 19th century, the evolutionary approach to the problem of ageing was initiated by August Weismann, who argued that natural selection was more important for ageing than any physiological mechanism. In the mid-twentieth century, J. B. S. Haldane, P. B. Medawar and G. C. Williams informally argued that the force of natural selection falls with adult age. In 1966, W. D. Hamilton published formal equations that showed mathematically that two 'forces of natural selection' do indeed decline with age, though his analysis was not genetically explicit. Brian Charlesworth then developed the required mathematical population genetics for the evolution of ageing in the 1970's. In the 1980's, experiments using Drosophila showed that the rate of ageing evolves as predicted by Hamilton's 'forces of natural selection'. The discovery of the cessation of ageing late in life in the 1990's was followed by its explanation in terms of evolutionary theory based on Hamilton's forces. Recently, it has been shown that the cessation of ageing can also be manipulated experimentally using Hamilton's 'forces of natural selection'. Despite the success of evolutionary research on ageing, mainstream gerontological research has largely ignored both this work and the opportunity that it provides for effective intervention in ageing.

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Year:  2008        PMID: 19147926     DOI: 10.1007/s12041-008-0059-6

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  34 in total

1.  Patterns of age-specific means and genetic variances of mortality rates predicted by the mutation-accumulation theory of ageing.

Authors:  B Charlesworth
Journal:  J Theor Biol       Date:  2001-05-07       Impact factor: 2.691

2.  Hamilton's indicators of the force of selection.

Authors:  Annette Baudisch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-26       Impact factor: 11.205

Review 3.  The evolution of late life.

Authors:  Casandra L Rauser; Laurence D Mueller; Michael R Rose
Journal:  Ageing Res Rev       Date:  2005-08-08       Impact factor: 10.895

Review 4.  A revolution for aging research.

Authors:  Michael R Rose; Casandra L Rauser; Laurence D Mueller; Gregory Benford
Journal:  Biogerontology       Date:  2006-04-13       Impact factor: 4.277

5.  The probability of survival of a mutant gene in an age-structured population and implications for the evolution of life-histories.

Authors:  B Charlesworth; J A Williamson
Journal:  Genet Res       Date:  1975-08       Impact factor: 1.588

6.  SELECTION FOR DELAYED SENESCENCE IN DROSOPHILA MELANOGASTER.

Authors:  Leo S Luckinbill; Robert Arking; Michael J Clare; William C Cirocco; Steven A Buck
Journal:  Evolution       Date:  1984-09       Impact factor: 3.694

7.  LABORATORY EVOLUTION OF POSTPONED SENESCENCE IN DROSOPHILA MELANOGASTER.

Authors:  Michael R Rose
Journal:  Evolution       Date:  1984-09       Impact factor: 3.694

Review 8.  Biodemographic trajectories of longevity.

Authors:  J W Vaupel; J R Carey; K Christensen; T E Johnson; A I Yashin; N V Holm; I A Iachine; V Kannisto; A A Khazaeli; P Liedo; V D Longo; Y Zeng; K G Manton; J W Curtsinger
Journal:  Science       Date:  1998-05-08       Impact factor: 47.728

Review 9.  Population density effects on longevity.

Authors:  J L Graves; L D Mueller
Journal:  Genetica       Date:  1993       Impact factor: 1.082

10.  Slowing of age-specific mortality rates in Drosophila melanogaster.

Authors:  H H Fukui; L Xiu; J W Curtsinger
Journal:  Exp Gerontol       Date:  1993 Nov-Dec       Impact factor: 4.032

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  10 in total

1.  Honoring Clive McCay and 75 years of calorie restriction research.

Authors:  Roger B McDonald; Jon J Ramsey
Journal:  J Nutr       Date:  2010-05-19       Impact factor: 4.798

2.  Effect of curcumin on aged Drosophila melanogaster: a pathway prediction analysis.

Authors:  Zhi-guo Zhang; Xu-yan Niu; Ai-ping Lu; Gary Guishan Xiao
Journal:  Chin J Integr Med       Date:  2013-10-23       Impact factor: 1.978

3.  Adaptation, aging, and genomic information.

Authors:  Michael R Rose
Journal:  Aging (Albany NY)       Date:  2009-05-21       Impact factor: 5.682

Review 4.  Aging and longevity: why knowing the difference is important to nutrition research.

Authors:  Roger B McDonald; Rodney C Ruhe
Journal:  Nutrients       Date:  2011-02-28       Impact factor: 5.717

5.  A new metric of inclusive fitness predicts the human mortality profile.

Authors:  Saul J Newman; Simon Easteal
Journal:  PLoS One       Date:  2015-01-21       Impact factor: 3.240

Review 6.  Genetics and epigenetics of aging and longevity.

Authors:  Alexey A Moskalev; Alexander M Aliper; Zeljka Smit-McBride; Anton Buzdin; Alex Zhavoronkov
Journal:  Cell Cycle       Date:  2014-03-06       Impact factor: 4.534

7.  Germline mutation rates in young adults predict longevity and reproductive lifespan.

Authors:  Huong D Meeks; Thomas A Sasani; Richard M Cawthon; Ken R Smith; Richard A Kerber; Elizabeth O'Brien; Lisa Baird; Melissa M Dixon; Andreas P Peiffer; Mark F Leppert; Aaron R Quinlan; Lynn B Jorde
Journal:  Sci Rep       Date:  2020-06-19       Impact factor: 4.379

8.  Medawar and Hamilton on the selective forces in the evolution of ageing.

Authors:  Stefano Giaimo
Journal:  Hist Philos Life Sci       Date:  2021-11-25       Impact factor: 1.205

9.  Male reproductive traits of full-sibs of different age classes in three-spined sticklebacks (Gasterosteus aculeatus).

Authors:  Marion Mehlis; Theo Cm Bakker
Journal:  Springerplus       Date:  2013-04-20

10.  A recent global selective sweep on the age-1 phosphatidylinositol 3-OH kinase regulator of the insulin-like signaling pathway within Caenorhabditis remanei.

Authors:  Richard Jovelin; Jennifer S Comstock; Asher D Cutter; Patrick C Phillips
Journal:  G3 (Bethesda)       Date:  2014-04-11       Impact factor: 3.154

  10 in total

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