4.8 Article

A comprehensive analysis of translational misdecoding pattern and its implication on genetic code evolution

Journal

NUCLEIC ACIDS RESEARCH
Volume 51, Issue 19, Pages 10642-10652

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkad707

Keywords

-

Ask authors/readers for more resources

This study comprehensively analyzed the mapping between amino acids and codons, as well as the pattern of misdecoding. Two rules were revealed regarding the occurrence of misdecoding, and it was found that less diverse amino acids are assigned to codons that induce more frequent misdecoding in order to minimize deleterious effects.
The universal genetic code is comprised of 61 sense codons, which are assigned to 20 canonical amino acids. However, the evolutionary basis for the highly conserved mapping between amino acids and their codons remains incompletely understood. A possible selective pressure of evolution would be minimization of deleterious effects caused by misdecoding. Here we comprehensively analyzed the misdecoding pattern of 61 codons against 19 noncognate amino acids where an arbitrary amino acid was omitted, and revealed the following two rules. (i) If the second codon base is U or C, misdecoding is frequently induced by mismatches at the first and/or third base, where any mismatches are widely tolerated; whereas misdecoding with the second-base mismatch is promoted by only U-G or C-A pair formation. (ii) If the second codon base is A or G, misdecoding is promoted by only G-U or U-G pair formation at the first or second position. In addition, evaluation of functional/structural diversities of amino acids revealed that less diverse amino acid sets are assigned at codons that induce more frequent misdecoding, and vice versa, so as to minimize deleterious effects of misdecoding in the modern genetic code. Graphical Abstract

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available