Literature DB >> 26857673

The generation of meaningful information in molecular systems.

Peter R Wills1.   

Abstract

The physico-chemical processes occurring inside cells are under the computational control of genetic (DNA) and epigenetic (internal structural) programming. The origin and evolution of genetic information (nucleic acid sequences) is reasonably well understood, but scant attention has been paid to the origin and evolution of the molecular biological interpreters that give phenotypic meaning to the sequence information that is quite faithfully replicated during cellular reproduction. The near universality and age of the mapping from nucleotide triplets to amino acids embedded in the functionality of the protein synthetic machinery speaks to the early development of a system of coding which is still extant in every living organism. We take the origin of genetic coding as a paradigm of the emergence of computation in natural systems, focusing on the requirement that the molecular components of an interpreter be synthesized autocatalytically. Within this context, it is seen that interpreters of increasing complexity are generated by series of transitions through stepped dynamic instabilities (non-equilibrium phase transitions). The early phylogeny of the amino acyl-tRNA synthetase enzymes is discussed in such terms, leading to the conclusion that the observed optimality of the genetic code is a natural outcome of the processes of self-organization that produced it.
© 2016 The Author(s).

Keywords:  coding self-organization; genetic codescript; molecular biological interpreter; protein sequence space; quasi-species symmetry breaking

Mesh:

Substances:

Year:  2016        PMID: 26857673     DOI: 10.1098/rsta.2015.0066

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  10 in total

1.  DNA as information: at the crossroads between biology, mathematics, physics and chemistry.

Authors:  Julyan H E Cartwright; Simone Giannerini; Diego L González
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-03-13       Impact factor: 4.226

Review 2.  Experimental solutions to problems defining the origin of codon-directed protein synthesis.

Authors:  Charles W Carter; Peter R Wills
Journal:  Biosystems       Date:  2019-06-06       Impact factor: 1.973

Review 3.  Coding of Class I and II Aminoacyl-tRNA Synthetases.

Authors:  Charles W Carter
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 2.622

Review 4.  Insuperable problems of the genetic code initially emerging in an RNA world.

Authors:  Peter R Wills; Charles W Carter
Journal:  Biosystems       Date:  2017-09-10       Impact factor: 1.973

Review 5.  From quasispecies to quasispaces: coding and cooperation in chemical and electronic systems.

Authors:  John S McCaskill
Journal:  Eur Biophys J       Date:  2018-03-02       Impact factor: 2.095

Review 6.  Self-Referential Encoding on Modules of Anticodon Pairs-Roots of the Biological Flow System.

Authors:  Romeu Cardoso Guimarães
Journal:  Life (Basel)       Date:  2017-04-06

7.  Backbone Brackets and Arginine Tweezers delineate Class I and Class II aminoacyl tRNA synthetases.

Authors:  Florian Kaiser; Sebastian Bittrich; Sebastian Salentin; Christoph Leberecht; V Joachim Haupt; Sarah Krautwurst; Michael Schroeder; Dirk Labudde
Journal:  PLoS Comput Biol       Date:  2018-04-16       Impact factor: 4.475

8.  Impedance Matching and the Choice Between Alternative Pathways for the Origin of Genetic Coding.

Authors:  Peter R Wills; Charles W Carter
Journal:  Int J Mol Sci       Date:  2020-10-07       Impact factor: 5.923

Review 9.  Reciprocally-Coupled Gating: Strange Loops in Bioenergetics, Genetics, and Catalysis.

Authors:  Charles W Carter; Peter R Wills
Journal:  Biomolecules       Date:  2021-02-11

10.  Interdependence, Reflexivity, Fidelity, Impedance Matching, and the Evolution of Genetic Coding.

Authors:  Charles W Carter; Peter R Wills
Journal:  Mol Biol Evol       Date:  2018-02-01       Impact factor: 16.240

  10 in total

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