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Enhanced effective codon numbers to understand codon usage bias.

Authors :
Smith, Reginald D.
Source :
Biosystems. Oct2022, Vol. 220, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Codon usage bias is a well recognized phenomenon but the relative influence of its major causes: G+C content, mutational biases, and selection, are often difficult to disentangle. This paper presents methods to calculate modified effective codon numbers that allow the investigation of the sources of codon bias and how genes or organisms have their codon biases shaped. In particular, it demonstrates that variation in codon usage bias across organisms is likely driven more by likely mutational forces while the variation in codon usage bias within genomes is likely driven by codon selectional forces. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03032647
Volume :
220
Database :
Academic Search Index
Journal :
Biosystems
Publication Type :
Academic Journal
Accession number :
158748250
Full Text :
https://doi.org/10.1016/j.biosystems.2022.104734