Evolution of adaptation mechanisms: Adaptation energy, stress, and oscillating death.

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.

[1]  D. Costantini Oxidative Stress and Hormesis in Evolutionary Ecology and Physiology , 2014, Springer Berlin Heidelberg.

[2]  Charles J. Geyer,et al.  Unifying Life‐History Analyses for Inference of Fitness and Population Growth , 2008, The American Naturalist.

[3]  R. Nisbet,et al.  How should we define 'fitness' for general ecological scenarios? , 1992, Trends in ecology & evolution.

[4]  A. Giuliani,et al.  Mitochondrial Network Genes in the Skeletal Muscle of Amyotrophic Lateral Sclerosis Patients , 2013, PloS one.

[5]  J M Smith,et al.  Evolution and the theory of games , 1976 .

[6]  Harvey J. Greenberg,et al.  A Review of Quasi-Convex Functions , 1971, Oper. Res..

[7]  Alexander N Gorban Singularities of Transition Processes in Dynamical Systems , 2004 .

[8]  C. Franklin,et al.  Determining environmental causes of biological effects: the need for a mechanistic physiological dimension in conservation biology , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[9]  C. Castillo-Chavez,et al.  Resource Consumption, Sustainability, and Cancer , 2015, Bulletin of mathematical biology.

[10]  Alexander N. Gorban,et al.  Correlations, Risk and Crisis: From Physiology to Finance , 2009, 0905.0129.

[11]  A. V. Vasil’ev,et al.  [Applying method of correlative adaptometry for evaluating of treatment efficiency of obese patients]. , 2007, Voprosy pitaniia.

[12]  H. Selye EXPERIMENTAL EVIDENCE SUPPORTING THE CONCEPTION OF "ADAPTATION ENERGY" , 1938 .

[13]  G. Karev Replicator Equations and Models of Biological Populations and Communities , 2012, 1211.6596.

[14]  Alexander N Gorban,et al.  Singularities of transition processes in dynamical systems: Qualitative theory of critical delays , 1997, Electronic Journal of Differential Equations.

[15]  R. Lewontin,et al.  The Genetic Basis of Evolutionary Change , 2022 .

[16]  H. A. van den Berg,et al.  Mathematical models of energy homeostasis , 2008, Journal of The Royal Society Interface.

[17]  H. Mooney,et al.  Resource Limitation in Plants-An Economic Analogy , 1985 .

[18]  G. R. McGhee Convergent Evolution: Limited Forms Most Beautiful , 2011 .

[19]  B GOLDSTONE,et al.  The general practitioner and the general adaptation syndrome. , 1952, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[20]  Smirnova Ev,et al.  Method of adaptometry in the evaluation of gastric secretory function in children under conditions of the North , 1996 .

[21]  K. Pacak,et al.  Alarm Phase and General Adaptation Syndrome , 2007 .

[22]  F. H. Pough Organismal Performance and Darwinian Fitness: Approaches and Interpretations , 1989, Physiological Zoology.

[23]  H. Selye A Syndrome produced by Diverse Nocuous Agents , 1936, Nature.

[24]  E. Smirnova,et al.  [Method of adaptometry in the evaluation of gastric secretory function in children under conditions of the North]. , 1996, Vestnik Rossiiskoi akademii meditsinskikh nauk.

[25]  F. Stuart Chapin,et al.  The Ecology and Economics of Storage in Plants , 1990 .

[26]  M. Reichstein,et al.  Colimitation of decomposition by substrate and decomposers - a comparison of model formulations , 2008 .

[27]  Kazuyuki Aihara,et al.  Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers , 2012, Scientific Reports.

[28]  Eric R. Pianka,et al.  On r- and K-Selection , 1970, The American Naturalist.

[29]  Marten Scheffer,et al.  Spatial correlation as leading indicator of catastrophic shifts , 2010, Theoretical Ecology.

[30]  Lyudmila Pokidysheva,et al.  Principal Component Analysis Used in Estimation of Human's Immune System, Suffered from Allergic Rhinosinusopathy Complicated with Clamidiosis or without It , 2013, Advances in Intelligent Analysis of Medical Data and Decision Support Systems.

[31]  J. Galle,et al.  From single cells to tissue architecture—a bottom-up approach to modelling the spatio-temporal organisation of complex multi-cellular systems , 2009, Journal of mathematical biology.

[32]  H. G. Baker,et al.  Evolution in the Tropics , 1970 .

[33]  D. Noble,et al.  Systems Biology: An Approach , 2010, Clinical pharmacology and therapeutics.

[34]  F. Longin,et al.  Is the Correlation in International Equity Returns Constant: 1960-90? , 1995 .

[35]  D. Noble,et al.  The future: putting Humpty-Dumpty together again. , 2001, Biochemical Society transactions.

[36]  T. A. Tyukina,et al.  Law of the Minimum Paradoxes , 2009, Bulletin of mathematical biology.

[37]  E. Cadenas,et al.  Physiology and Neurobiology of Stress and Adaptation: Central Role of the Brain , 2007 .

[38]  Alexander N Gorban,et al.  Selection Theorem for Systems with Inheritance , 2004, Mathematical Modelling of Natural Phenomena.

[39]  Rosario N. Mantegna,et al.  Book Review: An Introduction to Econophysics, Correlations, and Complexity in Finance, N. Rosario, H. Mantegna, and H. E. Stanley, Cambridge University Press, Cambridge, 2000. , 2000 .

[40]  Jan C. Schmidt,et al.  Philosophy of Late-Modern Technology , 2016 .

[41]  Using Correlation Adaptometry Method in Assessing Societal Stress: a Ukrainian Case , 2012, 1212.1339.

[42]  G. Bock,et al.  The Limits of Reductionism in Biology , 1998 .

[43]  J. Drake,et al.  Early warning signals of extinction in deteriorating environments , 2010, Nature.

[44]  M. B. Kirkham,et al.  On the origin of the theory of mineral nutrition of plants and the law of the minimum , 1999 .

[45]  R. Arthur The denial of stress , 1984 .

[46]  Edda Klipp,et al.  Systems Biology , 1994 .

[47]  Martin Wikelski,et al.  Conservation physiology. , 2020, Trends in ecology & evolution.

[48]  J. Moir The Piltdown Bone Implement , 1938, Nature.

[49]  Sir Rudolf Peierls Model-making in physics , 1980 .

[50]  J. Crow The genetic basis of evolutionary change , 1975 .

[51]  Lindi M. Wahl,et al.  Modeling and Analysis of Recurrent Autoimmune Disease , 2014, SIAM J. Appl. Math..

[52]  Ron Unger,et al.  Biological Computation , 2011 .

[53]  R. Macarthur,et al.  The Theory of Island Biogeography , 1969 .

[54]  S. Carpenter,et al.  Anticipating Critical Transitions , 2012, Science.

[55]  J. Hinojosa,et al.  Perspectives in Human Occupation Participation in Life , 2003 .

[56]  A. Gorban,et al.  [Correlation adaptometry as a method of screening of the population]. , 1988, Vestnik Akademii meditsinskikh nauk SSSR.

[57]  E. Gudayol-Ferré,et al.  Effects of remission speed and improvement of cognitive functions of depressed patients , 2015, Psychiatry Research.

[58]  S. J. Arnold,et al.  Morphology, Performance and Fitness , 1983 .

[59]  G. Chrousos,et al.  The concepts of stress and stress system disorders. Overview of physical and behavioral homeostasis. , 1992, JAMA.

[60]  H. Selye,et al.  Adaptation Energy , 1938, Nature.

[61]  J. Welch,et al.  Fisher’s Microscope and Haldane’s Ellipse , 2005, The American Naturalist.

[62]  J. Haldane,et al.  The Causes of Evolution , 1933 .

[63]  A. Galston Plant Physiology , 1967, Nature.

[64]  L. Cook The Genetical Theory of Natural Selection — A Complete Variorum Edition , 2000, Heredity.

[65]  T. G. Coleman,et al.  Systems biology and integrative physiological modelling , 2011, The Journal of physiology.

[66]  J. Kingsolver,et al.  Patterns and Power of Phenotypic Selection in Nature , 2007 .

[67]  E. Smirnova,et al.  [Correlational adaptometry as a method for evaluating cardiovascular and respiratory interaction]. , 1997, Fiziologiia cheloveka.

[68]  David Tilman,et al.  Resources: A Graphical-Mechanistic Approach to Competition and Predation , 1980, The American Naturalist.

[69]  Giovanni Calcagnini,et al.  A Multiscale Graph Theoretical Approach to Gene Regulation Networks: A Case Study in Atrial Fibrillation , 2011, IEEE Transactions on Biomedical Engineering.

[70]  R. V. Antwerpen,et al.  An Application of Principal Component Analyses and Correlation Graphs to Assess Multivariate Soil Health Properties , 2012 .