Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/38652
Title: Evolution of adaptation mechanisms: Adaptation energy, stress, and oscillating death
Authors: Gorban, Alexander N.
Tyukina, Tatiana A.
Smirnova, E. V.
Pokidysheva, L. I.
First Published: 19-Jan-2016
Publisher: Elsevier for Academic Press
Citation: Journal of Theoretical Biology, 2016, 405, pp. 127-139 (13)
Abstract: In 1938, Selye proposed the notion of adaptation energy and published ‘Experimental evidence supporting the conception of adaptation energy.’ Adaptation of an animal to different factors appears as the spending of one resource. Adaptation energy is a hypothetical extensive quantity spent for adaptation. This term causes much debate when one takes it literally, as a physical quantity, i.e. a sort of energy. The controversial points of view impede the systematic use of the notion of adaptation energy despite experimental evidence. Nevertheless, the response to many harmful factors often has general non-specific form and we suggest that the mechanisms of physiological adaptation admit a very general and nonspecific description. We aim to demonstrate that Selye׳s adaptation energy is the cornerstone of the top-down approach to modelling of non-specific adaptation processes. We analyze Selye׳s axioms of adaptation energy together with Goldstone׳s modifications and propose a series of models for interpretation of these axioms. Adaptation energy is considered as an internal coordinate on the ‘dominant path’ in the model of adaptation. The phenomena of ‘oscillating death’ and ‘oscillating remission’ are predicted on the base of the dynamical models of adaptation. Natural selection plays a key role in the evolution of mechanisms of physiological adaptation. We use the fitness optimization approach to study of the distribution of resources for neutralization of harmful factors, during adaptation to a multifactor environment, and analyze the optimal strategies for different systems of factors.
DOI Link: 10.1016/j.jtbi.2015.12.017
ISSN: 0022-5193
eISSN: 1095-8541
Links: http://www.sciencedirect.com/science/article/pii/S0022519316000205
http://hdl.handle.net/2381/38652
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Creative Commons “Attribution Non-Commercial No Derivatives” licence CC BY-NC-ND, further details of which can be found via the following link: http://creativecommons.org/licenses/by-nc-nd/4.0/ Archived with reference to SHERPA/RoMEO and publisher website.
Appears in Collections:Published Articles, Dept. of Mathematics

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