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The Oldest Old And The Population Heterogeneity

Author

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  • A. ŁASZKIEWICZ

    (Department of Genomics, Institute of Genetics and Microbiology, University of Wrocław, ul. Przybyszewskiego 63/77, PL-54148 Wrocław, Poland)

  • SZ. SZYMCZAK

    (Department of Genomics, Institute of Genetics and Microbiology, University of Wrocław, ul. Przybyszewskiego 63/77, PL-54148 Wrocław, Poland)

  • S. CEBRAT

    (Department of Genomics, Institute of Genetics and Microbiology, University of Wrocław, ul. Przybyszewskiego 63/77, PL-54148 Wrocław, Poland)

Abstract

We have simulated the effect of the diversity of the late expressed genes in the genetic pool of population on the phenotypes of individuals in the late ages. Using Penna model based on the Monte Carlo method we have obtained for the oldest fractions of populations lower mortality rates than predicted by the exponential Gompertz function. Such deviations from the expected exponential increase of mortality are the characteristic for populations which are not in equilibrium with the environment, or if a relatively high probability of reversions was assumed, or if the population is heterogeneous. In such populations, the genes expressed in the late ages, are under the very weak selection pressure and thus, highly-polymorphic. As an effect, the probability of the genetically-determined death of the oldest organisms does not grow as fast as predicted by the Gompertz exponential curve describing mortality during earlier periods of life.

Suggested Citation

  • A. Łaszkiewicz & Sz. Szymczak & S. Cebrat, 2003. "The Oldest Old And The Population Heterogeneity," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 14(10), pages 1355-1362.
  • Handle: RePEc:wsi:ijmpcx:v:14:y:2003:i:10:n:s0129183103005479
    DOI: 10.1142/S0129183103005479
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    References listed on IDEAS

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    1. Hoover, W.G., 1995. "Comment on “Two disks in a box” [R.J. Speedy, Physica A 210 (1994) 341]," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 216(1), pages 195-195.
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    Cited by:

    1. Keesen, Fabíola & Castro e Silva, Alcides & Pinheiro, Carlos Felipe S. & Arashiro, Everaldo & Ligeiro, Yan & Grelle, Carlos Eduardo de Viveiros, 2023. "New applications of an old individual-based model for biological dynamics," Ecological Modelling, Elsevier, vol. 476(C).

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