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Evolution of the Genetic Code by Incorporation of Amino Acids that Improved or Changed Protein Function

Overview of attention for article published in Journal of Molecular Evolution, October 2013
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Title
Evolution of the Genetic Code by Incorporation of Amino Acids that Improved or Changed Protein Function
Published in
Journal of Molecular Evolution, October 2013
DOI 10.1007/s00239-013-9567-y
Pubmed ID
Authors

Brian R. Francis

Abstract

Fifty years have passed since the genetic code was deciphered, but how the genetic code came into being has not been satisfactorily addressed. It is now widely accepted that the earliest genetic code did not encode all 20 amino acids found in the universal genetic code as some amino acids have complex biosynthetic pathways and likely were not available from the environment. Therefore, the genetic code evolved as pathways for synthesis of new amino acids became available. One hypothesis proposes that early in the evolution of the genetic code four amino acids-valine, alanine, aspartic acid, and glycine-were coded by GNC codons (N = any base) with the remaining codons being nonsense codons. The other sixteen amino acids were subsequently added to the genetic code by changing nonsense codons into sense codons for these amino acids. Improvement in protein function is presumed to be the driving force behind the evolution of the code, but how improved function was achieved by adding amino acids has not been examined. Based on an analysis of amino acid function in proteins, an evolutionary mechanism for expansion of the genetic code is described in which individual coded amino acids were replaced by new amino acids that used nonsense codons differing by one base change from the sense codons previously used. The improved or altered protein function afforded by the changes in amino acid function provided the selective advantage underlying the expansion of the genetic code. Analysis of amino acid properties and functions explains why amino acids are found in their respective positions in the genetic code.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Netherlands 1 3%
Italy 1 3%
United Kingdom 1 3%
United States 1 3%
Unknown 34 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Student > Bachelor 6 15%
Researcher 6 15%
Other 5 13%
Student > Ph. D. Student 5 13%
Other 6 15%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 44%
Biochemistry, Genetics and Molecular Biology 11 28%
Physics and Astronomy 4 10%
Neuroscience 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 5 13%