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PMID: 25585805 Published · ppublish English Journal Article

Two perspectives on the origin of the standard genetic code.

Sengupta S, Aggarwal N, Bandhu AV

Abstract

The origin of a genetic code made it possible to create ordered sequences of amino acids. In this article we provide two perspectives on code origin by carrying out simulations of code-sequence coevolution in finite populations with the aim of examining how the standard genetic code may have evolved from more primitive code(s) encoding a small number of amino acids. We determine the efficacy of the physico-chemical hypothesis of code origin in the absence and presence of horizontal gene transfer (HGT) by allowing a diverse collection of code-sequence sets to compete with each other. We find that in the absence of horizontal gene transfer, natural selection between competing codes distinguished by differences in the degree of physico-chemical optimization is unable to explain the structure of the standard genetic code. However, for certain probabilities of the horizontal transfer events, a universal code emerges having a structure that is consistent with the standard genetic code.

MeSH Terms
Amino Acids/chemistry,metabolism Amino Acyl-tRNA Synthetases/chemistry,metabolism Codon/chemistry,metabolism Evolution, Molecular Gene Transfer, Horizontal Genes Genetic Code Models, Genetic Origin of Life Probability Protein Biosynthesis RNA, Messenger/chemistry,metabolism RNA, Transfer, Amino Acid-Specific/chemistry,metabolism Selection, Genetic
Chemicals
Amino Acids Codon RNA, Messenger RNA, Transfer, Amino Acid-Specific Amino Acyl-tRNA Synthetases
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Sengupta Supratim
Department of Physical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur, 741246, India, [email protected].
Aggarwal Neha
Bandhu Ashutosh Vishwa
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Article Info
Journal
Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life
Abbr.
Orig Life Evol Biosph
ISSN
1573-0875
Published
2014-12-00
Epub
2015-00-15
Pages
287-91
Language
English
Region
Netherlands
NLM ID
8610391
Subset
IM
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