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Ancient DNA sequence revealed by error-correcting codes.


ABSTRACT: A previously described DNA sequence generator algorithm (DNA-SGA) using error-correcting codes has been employed as a computational tool to address the evolutionary pathway of the genetic code. The code-generated sequence alignment demonstrated that a residue mutation revealed by the code can be found in the same position in sequences of distantly related taxa. Furthermore, the code-generated sequences do not promote amino acid changes in the deviant genomes through codon reassignment. A Bayesian evolutionary analysis of both code-generated and homologous sequences of the Arabidopsis thaliana malate dehydrogenase gene indicates an approximately 1 MYA divergence time from the MDH code-generated sequence node to its paralogous sequences. The DNA-SGA helps to determine the plesiomorphic state of DNA sequences because a single nucleotide alteration often occurs in distantly related taxa and can be found in the alternative codon patterns of noncanonical genetic codes. As a consequence, the algorithm may reveal an earlier stage of the evolution of the standard code.

SUBMITTER: Brandao MM 

PROVIDER: S-EPMC4498232 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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Ancient DNA sequence revealed by error-correcting codes.

Brandão Marcelo M MM   Spoladore Larissa L   Faria Luzinete C B LC   Rocha Andréa S L AS   Silva-Filho Marcio C MC   Palazzo Reginaldo R  

Scientific reports 20150710


A previously described DNA sequence generator algorithm (DNA-SGA) using error-correcting codes has been employed as a computational tool to address the evolutionary pathway of the genetic code. The code-generated sequence alignment demonstrated that a residue mutation revealed by the code can be found in the same position in sequences of distantly related taxa. Furthermore, the code-generated sequences do not promote amino acid changes in the deviant genomes through codon reassignment. A Bayesia  ...[more]

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