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Phylogenetic inference from binary sequences reduced by primary DNA sequences

Given a bi-classification of nucleotides, we can obtain a reduced binary sequence of a primary DNA sequence. This binary sequence will undoubtedly retain some biological information and lose the rest. Here we want to know what kind of and how much biological information an individual binary sequence...

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Detalles Bibliográficos
Autores principales: Zheng, Xiaoqi, Dou, Yongchao, Wang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088321/
https://www.ncbi.nlm.nih.gov/pubmed/32214589
http://dx.doi.org/10.1007/s10910-008-9504-2
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author Zheng, Xiaoqi
Dou, Yongchao
Wang, Jun
author_facet Zheng, Xiaoqi
Dou, Yongchao
Wang, Jun
author_sort Zheng, Xiaoqi
collection PubMed
description Given a bi-classification of nucleotides, we can obtain a reduced binary sequence of a primary DNA sequence. This binary sequence will undoubtedly retain some biological information and lose the rest. Here we want to know what kind of and how much biological information an individual binary sequence carries. Three classifications of nucleotides are explored in the present article. Phylogenetic trees are built from these binary sequences by the Neighbor-Joining (NJ) method, with evolutionary distance evaluated on the basis of a symbolic sequence complexity. We find that, for all data sets studied, binary sequences reduced by the purine/pyrimidine classification give reliable phylogeny (almost the same as that from the primary sequences), while the other two result in discrepancies at different levels. Some possible reasons and a simple model of sequence evolutionary are introduced to interpret this phenomenon.
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spelling pubmed-70883212020-03-23 Phylogenetic inference from binary sequences reduced by primary DNA sequences Zheng, Xiaoqi Dou, Yongchao Wang, Jun J Math Chem Original Paper Given a bi-classification of nucleotides, we can obtain a reduced binary sequence of a primary DNA sequence. This binary sequence will undoubtedly retain some biological information and lose the rest. Here we want to know what kind of and how much biological information an individual binary sequence carries. Three classifications of nucleotides are explored in the present article. Phylogenetic trees are built from these binary sequences by the Neighbor-Joining (NJ) method, with evolutionary distance evaluated on the basis of a symbolic sequence complexity. We find that, for all data sets studied, binary sequences reduced by the purine/pyrimidine classification give reliable phylogeny (almost the same as that from the primary sequences), while the other two result in discrepancies at different levels. Some possible reasons and a simple model of sequence evolutionary are introduced to interpret this phenomenon. Springer Netherlands 2008-12-10 2009 /pmc/articles/PMC7088321/ /pubmed/32214589 http://dx.doi.org/10.1007/s10910-008-9504-2 Text en © Springer Science+Business Media, LLC 2008 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Zheng, Xiaoqi
Dou, Yongchao
Wang, Jun
Phylogenetic inference from binary sequences reduced by primary DNA sequences
title Phylogenetic inference from binary sequences reduced by primary DNA sequences
title_full Phylogenetic inference from binary sequences reduced by primary DNA sequences
title_fullStr Phylogenetic inference from binary sequences reduced by primary DNA sequences
title_full_unstemmed Phylogenetic inference from binary sequences reduced by primary DNA sequences
title_short Phylogenetic inference from binary sequences reduced by primary DNA sequences
title_sort phylogenetic inference from binary sequences reduced by primary dna sequences
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088321/
https://www.ncbi.nlm.nih.gov/pubmed/32214589
http://dx.doi.org/10.1007/s10910-008-9504-2
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