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Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach

In order to show that the newly developed K-string composition distance method, based on counting oligopeptide frequencies, for inferring phylogenetic relations of prokaryotes works equally well without requiring the whole proteome data, we used all ribosomal proteins and the set of aminoacyl tRNA s...

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Detalles Bibliográficos
Autores principales: Haibin, Wei, Ji, Qi, Bailin, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science in China Press 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088628/
https://www.ncbi.nlm.nih.gov/pubmed/15493472
http://dx.doi.org/10.1360/03yc0137
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author Haibin, Wei
Ji, Qi
Bailin, Hao
author_facet Haibin, Wei
Ji, Qi
Bailin, Hao
author_sort Haibin, Wei
collection PubMed
description In order to show that the newly developed K-string composition distance method, based on counting oligopeptide frequencies, for inferring phylogenetic relations of prokaryotes works equally well without requiring the whole proteome data, we used all ribosomal proteins and the set of aminoacyl tRNA synthetases for each species. The latter group has been known to yield inconsistent trees if used individually. Our trees are obtained without making any sequence alignment. Altogether 16 Archaea, 105 Bacteria and 2 Eucarya are represented on the tree. Most of the lower branchings agree well with the latest, 2003, Outline of the second edition of the Bergey’s Manual of Systematic Bacteriology and the trees also suggest some relationships among higher taxa.
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spelling pubmed-70886282020-03-23 Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach Haibin, Wei Ji, Qi Bailin, Hao Sci China C Life Sci Article In order to show that the newly developed K-string composition distance method, based on counting oligopeptide frequencies, for inferring phylogenetic relations of prokaryotes works equally well without requiring the whole proteome data, we used all ribosomal proteins and the set of aminoacyl tRNA synthetases for each species. The latter group has been known to yield inconsistent trees if used individually. Our trees are obtained without making any sequence alignment. Altogether 16 Archaea, 105 Bacteria and 2 Eucarya are represented on the tree. Most of the lower branchings agree well with the latest, 2003, Outline of the second edition of the Bergey’s Manual of Systematic Bacteriology and the trees also suggest some relationships among higher taxa. Science in China Press 2004 /pmc/articles/PMC7088628/ /pubmed/15493472 http://dx.doi.org/10.1360/03yc0137 Text en © Science in China Press 2004 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 Article
Haibin, Wei
Ji, Qi
Bailin, Hao
Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach
title Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach
title_full Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach
title_fullStr Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach
title_full_unstemmed Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach
title_short Prokaryote phylogeny based on ribosomal proteins and aminoacyl tRNA synthetases by using the compositional distance approach
title_sort prokaryote phylogeny based on ribosomal proteins and aminoacyl trna synthetases by using the compositional distance approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088628/
https://www.ncbi.nlm.nih.gov/pubmed/15493472
http://dx.doi.org/10.1360/03yc0137
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