dc.creatorBrandão, Marcelo M
dc.creatorSpoladore, Larissa
dc.creatorFaria, Luzinete C B
dc.creatorRocha, Andréa S L
dc.creatorSilva-Filho, Marcio C
dc.creatorPalazzo, Reginaldo
dc.date2015
dc.date2016-05-23T19:41:52Z
dc.date2016-05-23T19:41:52Z
dc.date.accessioned2018-03-29T01:29:16Z
dc.date.available2018-03-29T01:29:16Z
dc.identifierScientific Reports. v. 5, p. 12051, 2015.
dc.identifier2045-2322
dc.identifier10.1038/srep12051
dc.identifierhttp://www.nature.com/articles/srep12051
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/235628
dc.identifier26159228
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1303871
dc.descriptionA 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.
dc.description5
dc.description12051
dc.languageeng
dc.relationScientific Reports
dc.relationSci Rep
dc.rightsaberto
dc.sourcePubMed
dc.titleAncient Dna Sequence Revealed By Error-correcting Codes.
dc.typeArtículos de revistas


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