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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Nature Portfolio
2018
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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) |
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Medicine R Science Q Makio Yokono Soichirou Satoh Ayumi Tanaka Comparative analyses of whole-genome protein sequences from multiple organisms |
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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 |
_version_ |
1718393902500675584 |