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Biochemistry (Moscow)

, Volume 83, Issue 2, pp 159–167 | Cite as

Presence of Old Individuals in a Population Accelerates and Optimizes the Process of Selection: in silico Experiments

  • V. A. ChistyakovEmail author
  • Y. V. Denisenko
  • A. B. Bren
Article

Abstract

One of the important components of the concept of aging-phenoptosis (programmed aging) is the notion of aging as an accelerator of evolution having the rank of subconcept. For many reasons, the main being the problematic experimental testing of evolutionary hypotheses, verification of the above-mentioned subconcept can be based primarily on analysis of the internal inconsistency of heuristic models and their correspondence to undisputedly observed facts. To illustrate the acceleration mechanism, and most importantly to structure the evolutionary process in communities that include naturally weakened individuals, V. P. Skulachev offered in 2003 a conceptual model that he later called a “fable about hares”. Despite its simplicity, this model has undoubted internal logic. The natural trend in the development of conceptual models is their translation into the language of mathematics. The purpose of the present work was to create a variation of the known multi-agent model “predator–prey” that would allow us to “see” how the presence in the prey population of naturally weakened (old) members stimulates the selection of individuals with traits whose adaptive potential is not devaluated with age. The model (http://homebear.ru/PD) was developed on the Java platform, version 6, NetBeans development environment 8.2. Statistical analysis and preparation of illustrative materials were carried out using environment R, version 3.4.1. The results of numerical experiments set using our model correspond in principle to the provisions of the heuristic model of Skulachev and, consequently, confirm the absence in it of logical contradictions.

Keywords

aging phenoptosis multi-agent modeling evolution fable about hares 

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References

  1. 1.
    Gavrilov, L. A., and Gavrilova, N. S. (2004) The reliability-engineering approach to the problem of biological aging, Ann. NY Acad. Sci., 1019, 509–512.CrossRefPubMedGoogle Scholar
  2. 2.
    Skulachev, V. P. (2012) What is “phenoptosis” and how to fight it, Biochemistry (Moscow), 77, 689–706.CrossRefGoogle Scholar
  3. 3.
    Skulachev, V. P. (2003) Aging and the programmed death phenomena, in Topics in Current Genetics. Model Systems in Ageing (Nystrom, T., and Osiewacz, H. D., eds.) Vol. 3, Springer-Verlag, Berlin-Heidelberg, pp. 191-238.Google Scholar
  4. 4.
    Severin, F. F., and Skulachev, V. P. (2009) The programmed cell death as a target for the struggle against aging of the organism, Usp. Gerontol., 22, 37–48.Google Scholar
  5. 5.
    Chistyakov, V. A., and Denisenko, Y. V. (2009) Age-related loss of cellularity: in silico examination, Ross. Khim. Zh., 53, 105–110.Google Scholar
  6. 6.
    Chistyakov, V. A., and Denisenko, Y. V. (2010) Simulation modeling of aging in Drosophila in silico, Usp. Gerontol., 23, 557–563.Google Scholar
  7. 7.
    Chistyakov, V. A., and Denisenko, Y. V. (2012) Cellularity loss and Dilman’s problem: an in silico study, Biochemistry (Moscow), 77, 779–792.CrossRefGoogle Scholar
  8. 8.
    Zolotukhin, P. V., Belanova, A. A., Prazdnova, E. V., Mazanko, M. S., Batyushin, M. M., Chmykhalo, V. K., and Chistyakov, V. A. (2016) Mitochondria as a signaling hub and target for phenoptosis shutdown, Biochemistry (Moscow), 81, 329–337.CrossRefGoogle Scholar
  9. 9.
    Ashby, W. R. (1959) An Introduction to Cybernetics [Russian translation], Inostrannaya Literatura, Moscow.Google Scholar
  10. 10.
    Severtsov, A. N. (1939) Morphological Patterns of Evolution [in Russian], Izdatelstvo Akademii Nauk SSSR, Moscow-Leningrad.Google Scholar
  11. 11.
    Sackton, T. B., and Hartl, D. L. (2016) Genotypic context and epistasis in individuals and populations, Cell, 166, 279–287.CrossRefPubMedPubMedCentralGoogle Scholar
  12. 12.
    Chistyakov, V. A., and Denisenko, Y. V. (2015) Aging saves population under lack of resources: in silico experiments, Biochemistry (Moscow), 80, 636–639.CrossRefGoogle Scholar
  13. 13.
    Kunin, E. V. (2014) The Logic of a Case. Regarding Nature and Origin of Biochemical Evolution [in Russian], Tsentr-Poligraf, Moscow.Google Scholar
  14. 14.
    Dmitriev, V. L. (2014) Multi-agent approach to modeling biological systems on example of populations of small fishes and sharks, Sovrem. Nauch. Issled. Innovats., 6, URL: http://web.snauka.ru/issues/2014/06/34852 (data of inquiry: 03.06.2014).Google Scholar
  15. 15.
    Partridge, L., and Barton, N. H. (1993) Optimality, mutation and the evolution of ageing, Nature, 362, 305–311.CrossRefPubMedGoogle Scholar
  16. 16.
    Novosel’tsev, V. N., and Novosel’tseva, Z. A. (2012) Modeling of history of life and balance of resources, in Gerontology in silico: Emergence of a New Discipline. Mathematical Models, Data Analysis and Computational Experiments (Marchuk, G. I., Anisimov, V. N., Romanyukha, A. A., and Yashin, A. I., eds.) [in Russian], BINOM, Laboratoriya Znanii, Moscow, pp. 148–175.Google Scholar
  17. 17.
    Novosel’tsev, V. N., Novosel’tseva, Z. A., and Yashin, A. I. (2012) Population models of aging, in Gerontology in silico: Emergence of a New Discipline. Mathematical Models, Data Analysis and Computational Experiments (Marchuk, G. I., Anisimov, V. N., Romanyukha, A. A., and Yashin, A. I., eds.) [in Russian], BINOM, Laboratoriya Znanii, Moscow, pp. 175–194.Google Scholar
  18. 18.
    Mitteldorf, J. J. (2012) Adaptive aging in the context of evolutionary theory, Biochemistry (Moscow), 77, 716–725.CrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  • V. A. Chistyakov
    • 1
    Email author
  • Y. V. Denisenko
    • 1
  • A. B. Bren
    • 1
  1. 1.Ivanovsky Academy of Biology and Biotechnology, Institute of BiologySouthern Federal UniversityRostov-on-DonRussia

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