Comparative analyses of whole-genome protein sequences from multiple organisms

Abstract Phylogenies based on entire genomes are a powerful tool for reconstructing the Tree of Life. Several methods have been proposed, most of which employ an alignment-free strategy. Average sequence similarity methods are different than most other whole-genome methods, because they are based on...

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Autores principales: Makio Yokono, Soichirou Satoh, Ayumi Tanaka
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/16656572c4ac44f09059ab5223ee6e71
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spelling oai:doaj.org-article:16656572c4ac44f09059ab5223ee6e712021-12-02T12:32:59ZComparative analyses of whole-genome protein sequences from multiple organisms10.1038/s41598-018-25090-82045-2322https://doaj.org/article/16656572c4ac44f09059ab5223ee6e712018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25090-8https://doaj.org/toc/2045-2322Abstract Phylogenies based on entire genomes are a powerful tool for reconstructing the Tree of Life. Several methods have been proposed, most of which employ an alignment-free strategy. Average sequence similarity methods are different than most other whole-genome methods, because they are based on local alignments. However, previous average similarity methods fail to reconstruct a correct phylogeny when compared against other whole-genome trees. In this study, we developed a novel average sequence similarity method. Our method correctly reconstructs the phylogenetic tree of in silico evolved E. coli proteomes. We applied the method to reconstruct a whole-proteome phylogeny of 1,087 species from all three domains of life, Bacteria, Archaea, and Eucarya. Our tree was automatically reconstructed without any human decisions, such as the selection of organisms. The tree exhibits a concentric circle-like structure, indicating that all the organisms have similar total branch lengths from their common ancestor. Branching patterns of the members of each phylum of Bacteria and Archaea are largely consistent with previous reports. The topologies are largely consistent with those reconstructed by other methods. These results strongly suggest that this approach has sufficient taxonomic resolution and reliability to infer phylogeny, from phylum to strain, of a wide range of organisms.Makio YokonoSoichirou SatohAyumi TanakaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Makio Yokono
Soichirou Satoh
Ayumi Tanaka
Comparative analyses of whole-genome protein sequences from multiple organisms
description Abstract Phylogenies based on entire genomes are a powerful tool for reconstructing the Tree of Life. Several methods have been proposed, most of which employ an alignment-free strategy. Average sequence similarity methods are different than most other whole-genome methods, because they are based on local alignments. However, previous average similarity methods fail to reconstruct a correct phylogeny when compared against other whole-genome trees. In this study, we developed a novel average sequence similarity method. Our method correctly reconstructs the phylogenetic tree of in silico evolved E. coli proteomes. We applied the method to reconstruct a whole-proteome phylogeny of 1,087 species from all three domains of life, Bacteria, Archaea, and Eucarya. Our tree was automatically reconstructed without any human decisions, such as the selection of organisms. The tree exhibits a concentric circle-like structure, indicating that all the organisms have similar total branch lengths from their common ancestor. Branching patterns of the members of each phylum of Bacteria and Archaea are largely consistent with previous reports. The topologies are largely consistent with those reconstructed by other methods. These results strongly suggest that this approach has sufficient taxonomic resolution and reliability to infer phylogeny, from phylum to strain, of a wide range of organisms.
format article
author Makio Yokono
Soichirou Satoh
Ayumi Tanaka
author_facet Makio Yokono
Soichirou Satoh
Ayumi Tanaka
author_sort Makio Yokono
title Comparative analyses of whole-genome protein sequences from multiple organisms
title_short Comparative analyses of whole-genome protein sequences from multiple organisms
title_full Comparative analyses of whole-genome protein sequences from multiple organisms
title_fullStr Comparative analyses of whole-genome protein sequences from multiple organisms
title_full_unstemmed Comparative analyses of whole-genome protein sequences from multiple organisms
title_sort comparative analyses of whole-genome protein sequences from multiple organisms
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/16656572c4ac44f09059ab5223ee6e71
work_keys_str_mv AT makioyokono comparativeanalysesofwholegenomeproteinsequencesfrommultipleorganisms
AT soichirousatoh comparativeanalysesofwholegenomeproteinsequencesfrommultipleorganisms
AT ayumitanaka comparativeanalysesofwholegenomeproteinsequencesfrommultipleorganisms
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