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Modern evolutionary mechanics theories and resolving the programmed/non-programmed aging controversy

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Abstract

Modern programmed (adaptive) theories of biological aging contend that organisms including mammals have generally evolved mechanisms that purposely limit their lifespans in order to obtain an evolutionary benefit. Modern non-programmed theories contend that mammal aging generally results from natural deteriorative processes, and that lifespan differences between species are explained by differences in the degree to which they resist those processes. Originally proposed in the 19th century, programmed aging in mammals has historically been widely summarily rejected as obviously incompatible with the mechanics of the evolution process. However, relatively recent and continuing developments described here have dramatically changed this situation, and programmed mammal aging now has a better evolutionary basis than non-programmed aging. Resolution of this issue is critically important to medical research because the two theories predict that very different biological mechanisms are ultimately responsible for age-related diseases and conditions.

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References

  1. Darwin, C. (1859) On the Origin of Species, John Murray, London.

    Google Scholar 

  2. Medawar, P. (1952) An Unsolved Problem of Biology, H. K. Lewis & Co., London.

    Google Scholar 

  3. Goldsmith, T. (2008) Aging, evolvability, and the individual benefit requirement; medical implications of aging theory controversies, J. Theor. Biol., 252, 764–768.

    Article  PubMed  Google Scholar 

  4. Kirkwood, T., and Melov, S. (2011) On the programmed/non-programmed nature of ageing within the life history, Curr. Biol., 21, R701–R707.

    Article  PubMed  CAS  Google Scholar 

  5. Williams, G. (1957) Pleiotropy, natural selection and the evolution of senescence, Evolution, 11, 398–411.

    Article  Google Scholar 

  6. Loison, A., Fiesta-Bianchet, M., Gaillard, J., Jorgenson, J., and Jullien, J. (1999) Age-specific survival in five populations of ungulates: evidence of senescence, Ecology, 80, 2539–2554.

    Article  Google Scholar 

  7. Goldsmith, T. (2013) Arguments against non-programmed aging theories, Biochemistry (Moscow), 78, 971–978.

    Article  CAS  Google Scholar 

  8. Wynne-Edwards, V. (1962) Animal Dispersion in Relation to Social Behaviour, Oliver & Boyd, Edinburgh.

    Google Scholar 

  9. Hamilton, W. (1963) The evolution of altruistic behavior, Amer. Naturalist, 97, 354–356.

    Article  Google Scholar 

  10. Dawkins, R. (1976) The Selfish Gene, Oxford University Press, Oxford.

    Google Scholar 

  11. Wagner, G. (1996) Complex adaptations and the evolution of evolvability, Evolution, 50, 967–976.

    Article  Google Scholar 

  12. Goldsmith, T. (2008) Mammal aging: active and passive mechanisms and their medical implications, J. Biosci. Hyp., doi: 10.1016/j.bihy.2008.12.002.

    Google Scholar 

  13. Skulachev, V. (1997) Aging is a specific biological function rather than the result of a disorder in complex living systems: biochemical evidence in support of Weismann’s hypothesis, Biochemistry (Moscow), 62, 1191–1195.

    CAS  Google Scholar 

  14. Mittledorf, J. (2006) Chaotic population dynamics and the evolution of ageing, Evol. Ecol. Res., 8, 561–574.

    Google Scholar 

  15. Libertini, G. (2008) Empirical evidence for various evolutionary hypotheses on species demonstrating increasing mortality with increasing chronological age in the wild, Sci. World J., 8, 182–193.

    Article  Google Scholar 

  16. Goldsmith, T. (2013) The Evolution of Aging, 3rd Edn., Azinet Press, Annapolis.

    Google Scholar 

  17. Apfeld, J., and Kenyon, C. (1999) Regulation of lifespan by sensory perception in Caenorhabditis elegans, Nature, 402, 804–809.

    Article  PubMed  CAS  Google Scholar 

  18. Wodinsky, J. (1977) Hormonal inhibition of feeding and death in octopus: control by optic gland secretion, Science, 198, 948–951.

    Article  PubMed  CAS  Google Scholar 

  19. Weindruch, R., Walford, R., Fligiel, S., and Guthrie, D. (1986) The retardation of aging in mice by dietary restriction: longevity, cancer, immunity and lifetime energy intake, J. Nutr., 116, 641–654.

    PubMed  CAS  Google Scholar 

  20. Goldsmith, T. (2014) Aging theory and the zero-sum game, Rejuvenation Res., 17, 1–2.

    Article  PubMed  Google Scholar 

  21. Olshansky, S. J., Hayflick, L., and Carnes, B. A. (2002) No truth to the fountain of youth, Sci. Am., 286, 92–95.

    Article  PubMed  Google Scholar 

  22. De Grey, A. (2007) Calorie restriction, post-reproductive life span, and programmed aging: a plea for rigor, Ann. NY Acad. Sci., 1119, 296–305.

    Article  PubMed  Google Scholar 

  23. Guerin, J. (2004) Emerging area of aging research: long-lived animals with negligible senescence, Ann. NY Acad. Sci., 1019, 518–520.

    Article  PubMed  Google Scholar 

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Correspondence to Theodore C. Goldsmith.

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Published in Russian in Biokhimiya, 2014, Vol. 79, No. 10, pp. 1290–1299.

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Goldsmith, T.C. Modern evolutionary mechanics theories and resolving the programmed/non-programmed aging controversy. Biochemistry Moscow 79, 1049–1055 (2014). https://doi.org/10.1134/S000629791410006X

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  • DOI: https://doi.org/10.1134/S000629791410006X

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