The model of a simple self-reproducing system

Abstract The model of a simple self-reproducing system has been investigated. The current model has been developed in the framework of syser systems. The term syser is the abbreviation of the words “SYstem of SElf-Reproduction”. The syser model can be considered as a reasonable model of the prebiological macromolecular self-reproducing systems. The syser includes a polynucleotide matrix, a replication enzyme, a translation enzyme, and other enzymes and protein. Earlier, we studied the model of sysers with a large number of macromolecules. However, a large number of macromolecules is a certain disadvantage of models of prebiological systems. In order to overcome this disadvantage, a new syser model with a small number of macromolecules has been constructed and investigated in the present work. The macromolecules of the syser are located inside the protocell. Additionally, we consider special macromolecules that provide sysers with energy. There is a mechanism for duplication of protocells. We consider the evolution of the population of sysers. The dynamics of macromolecules in protocells and evolution of sysers populations have been analyzed by means of computer simulation. It was shown that during the evolution of the sysers population, the comparative number and rate of synthesis of macromolecules, which provide protocells with energy, could be increased. The decrease of the synthesis rate of polynucleotide matrices is also possible.

[1]  Yonatan Loewenstein,et al.  Stochasticity, Bistability and the Wisdom of Crowds: A Model for Associative Learning in Genetic Regulatory Networks , 2013, PLoS Comput. Biol..

[2]  D. White.  A theory for the origin of a self-replicating chemical system. I: Natural selection of the autogen from short, random oligomers , 1980, Journal of Molecular Evolution.

[3]  David B. Saakian,et al.  Sysers: The important model of self-reproducing system , 2018, BICA 2018.

[4]  Alexei V. Samsonovich,et al.  Socially emotional brain-inspired cognitive architecture framework for artificial intelligence , 2020, Cognitive Systems Research.

[5]  M. Eigen,et al.  The Hypercycle: A principle of natural self-organization , 2009 .

[6]  Evgenii Vityaev,et al.  Consciousness as a logically consistent and prognostic model of reality , 2020, Cognitive Systems Research.

[7]  V. Red'ko,et al.  The comparative analysis of prebiological evolution models , 2020 .

[8]  P. Hogeweg,et al.  The origin of a primordial genome through spontaneous symmetry breaking , 2017, Nature Communications.

[9]  Aleksandr I. Panov,et al.  Behavior Planning of Intelligent Agent with Sign World Model , 2017, BICA 2017.

[10]  E. Szathmáry,et al.  The principles of life , 2003 .

[11]  E. Szathmáry,et al.  Group selection of early replicators and the origin of life. , 1987, Journal of theoretical biology.

[12]  John von Neumann,et al.  Theory Of Self Reproducing Automata , 1967 .

[13]  Alexei V. Samsonovich,et al.  On a roadmap for the BICA Challenge , 2012, BICA 2012.

[14]  P. Ao,et al.  Cancer as robust intrinsic state shaped by evolution: a key issues review , 2017, Reports on progress in physics. Physical Society.

[15]  J. Monod,et al.  Genetic regulatory mechanisms in the synthesis of proteins. , 1961, Journal of molecular biology.