An Effective Hierarchical Model for the Biomolecular Covalent Bond: An Approach Integrating Artificial Chemistry and an Actual Terrestrial Life System

Under the AChem paradigm and the programmed self-decomposition (PSD) model, we propose a hierarchical model for the biomolecular covalent bond (HBCB model). This model assumes that terrestrial organisms arrange their biomolecules in a hierarchical structure according to the energy strength of their covalent bonds. It also assumes that they have evolutionarily selected the PSD mechanism of turning biological polymers (BPs) into biological monomers (BMs) as an efficient biomolecular recycling strategy. We have examined the validity and effectiveness of the HBCB model by coordinating two complementary approaches: biological experiments using existent terrestrial life, and simulation experiments using an AChem system. Biological experiments have shown that terrestrial life possesses a PSD mechanism as an endergonic, genetically regulated process and that hydrolysis, which decomposes a BP into BMs, is one of the main processes of such a mechanism. In simulation experiments, we compared different virtual self-decomposition processes. The virtual species in which the self-decomposition process mainly involved covalent bond cleavage from a BP to BMs showed evolutionary superiority over other species in which the self-decomposition process involved cleavage from BP to classes lower than BM. These converging findings strongly support the existence of PSD and the validity and effectiveness of the HBCB model.

[1]  H. Maturana,et al.  Autopoiesis: the organization of living systems, its characterization and a model. , 1974, Currents in modern biology.

[2]  Charles E. Taylor,et al.  Artificial Life II , 1991 .

[3]  G. A. Thompson,et al.  STUDIES OF MEMBRANE FORMATION IN TETRAHYMENA PYRIFORMIS , 1971, The Journal of cell biology.

[4]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[5]  Trudy McKee,et al.  Biochemistry the Molecular Basis of Life , 2002 .

[6]  M. Tomita Whole-cell simulation: a grand challenge of the 21st century. , 2001, Trends in biotechnology.

[7]  J. Wolfe,et al.  Differential Staining of Apoptotic Nuclei in Living Cells: Application to Macronuclear Elimination in Tetrahymena , 1997, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[8]  BanzhafWolfgang,et al.  Artificial chemistriesa review , 2001 .

[9]  Masaru Tomita,et al.  E-CELL: software environment for whole-cell simulation , 1999, Bioinform..

[10]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[11]  Wolfgang Banzhaf,et al.  Artificial ChemistriesA Review , 2001, Artificial Life.

[12]  E. Odum Fundamentals of ecology , 1972 .

[13]  Gérard Berry,et al.  The chemical abstract machine , 1989, POPL '90.

[14]  Walter Fontana,et al.  Evolution of a metabolism , 1992 .

[15]  R. J. Bagley,et al.  Spontaneous emergence of a metabolism , 1990 .

[16]  J. Neumann The General and Logical Theory of Au-tomata , 1963 .

[17]  Thomas S. Ray,et al.  An Approach to the Synthesis of Life , 1991 .

[18]  Hideaki Suzuki,et al.  String Rewriting Grammar Optimized Using an Evolvability Measure , 2001, ECAL.

[19]  J. Schwartz,et al.  Theory of Self-Reproducing Automata , 1967 .

[20]  Albert L. Lehninger Biological Energy Transformations. (Book Reviews: Bioenergetics: The Molecular Basis of Biological Energy Transformations) , 1965 .

[21]  C. Langton Self-reproduction in cellular automata , 1984 .

[22]  Y. Watanabe SOME FACTORS NECESSARY TO PRODUCE DIVISION CONDITIONS IN TETRAHYMENA PYRIFORMIS. , 1963, Japanese journal of medical science & biology.

[23]  T. Ikegami,et al.  Self-maintenance and self-reproduction in an abstract cell model. , 2000, Journal of theoretical biology.

[24]  D. C. Dumonde,et al.  Bioenergetics: The Molecular Basis of Biological Energy Transformations , 1966 .

[25]  D. Hill,et al.  The Biochemistry and Physiology of Tetrahymena , 1972 .

[26]  Lubert Stryer,et al.  Biochemistry 5th ed , 2002 .

[27]  Katsunori Shimohara,et al.  Artificial life based on the programmed self-decomposition model, SIVA , 2006, Artificial Life and Robotics.

[28]  Y. Nozawa Chapter 6 Isolation of Subcellular Membrane Components from Tetrabymena , 1975 .

[29]  Tsutomu Oohashi,et al.  Requirements for Immortal ALife to Exterminate Mortal ALife in One Finite, Heterogeneous Ecosystem , 1999, ECAL.