An Analysis of Single Nucleotide Substitution in Genetic Codons - Probabilities and Outcomes

Single nucleotide substitutions (SNS) in genetic codon are of prime importance due to their ability to alter an amino acid sequence as a result. Given the nature of genetic code, any SNS is expected to change the protein sequence randomly into any of the 64 possible codons. In this paper, we present...

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Bibliographic Details
Published in:	Bioinformation Vol. 12; no. 3; pp. 98 - 104
Main Authors:	Abdullah, Tariq, Faiza, Muniba, Pant, Prashant, Rayyan Akhtar, Mohd, Pant, Pratibha
Format:	Journal Article
Language:	English
Published:	Singapore Biomedical Informatics 01-01-2016
Subjects:	Hypothesis codon single base substitutions or single nucleotide substitutions Mutation genetic code point mutation
Online Access:	Get full text
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Summary:	Single nucleotide substitutions (SNS) in genetic codon are of prime importance due to their ability to alter an amino acid sequence as a result. Given the nature of genetic code, any SNS is expected to change the protein sequence randomly into any of the 64 possible codons. In this paper, we present a theoretical analysis of how single nucleotide substitutions in genetic codon may affect resulting amino acid residue and what is the most likely amino acid that will get selected as a result. A probability matrix was developed showing possible changes and routes likely being followed as a result of base substitution mutation causing changes at the translational level for the amino acid being encoded. We observe that in event of single base pair substitution in a given amino acid; a chosen set of amino acids is theoretically more probable to be resulted suggesting a directional rather than a random change. This study also indicates that for a given amino acid coded by a number of synonymous codons, all synonymous codons will result into same list of amino acids in case of all possible SNS at three positions. The present work has resulted into development of a theoretical probability matrix which can be used to predict changes in amino acid residues in a protein sequence caused by single base substitutions.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0973-2063 0973-8894 0973-2063
DOI:	10.6026/97320630012098