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Comparative analyses of whole-genome protein sequences from multiple organisms
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 al...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931523/ https://www.ncbi.nlm.nih.gov/pubmed/29717164 http://dx.doi.org/10.1038/s41598-018-25090-8 |
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author | Yokono, Makio Satoh, Soichirou Tanaka, Ayumi |
author_facet | Yokono, Makio Satoh, Soichirou Tanaka, Ayumi |
author_sort | Yokono, Makio |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-5931523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59315232018-08-29 Comparative analyses of whole-genome protein sequences from multiple organisms Yokono, Makio Satoh, Soichirou Tanaka, Ayumi Sci Rep Article 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. Nature Publishing Group UK 2018-05-01 /pmc/articles/PMC5931523/ /pubmed/29717164 http://dx.doi.org/10.1038/s41598-018-25090-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yokono, Makio Satoh, Soichirou Tanaka, Ayumi Comparative analyses of whole-genome protein sequences from multiple organisms |
title | 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_short | Comparative analyses of whole-genome protein sequences from multiple organisms |
title_sort | comparative analyses of whole-genome protein sequences from multiple organisms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931523/ https://www.ncbi.nlm.nih.gov/pubmed/29717164 http://dx.doi.org/10.1038/s41598-018-25090-8 |
work_keys_str_mv | AT yokonomakio comparativeanalysesofwholegenomeproteinsequencesfrommultipleorganisms AT satohsoichirou comparativeanalysesofwholegenomeproteinsequencesfrommultipleorganisms AT tanakaayumi comparativeanalysesofwholegenomeproteinsequencesfrommultipleorganisms |