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Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens
Thousands of whole-genome and whole-proteome sequences have been made available through advances in sequencing technology, and sequences of millions more organisms will become available in the coming years. This wealth of genetic information will provide numerous opportunities to enhance our underst...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235700/ https://www.ncbi.nlm.nih.gov/pubmed/25437336 http://dx.doi.org/10.3390/pathogens2040627 |
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author | Zhou, Yunyun Call, Douglas R. Broschat, Shira L. |
author_facet | Zhou, Yunyun Call, Douglas R. Broschat, Shira L. |
author_sort | Zhou, Yunyun |
collection | PubMed |
description | Thousands of whole-genome and whole-proteome sequences have been made available through advances in sequencing technology, and sequences of millions more organisms will become available in the coming years. This wealth of genetic information will provide numerous opportunities to enhance our understanding of these organisms including a greater understanding of relationships among species. Researchers have used 16S rRNA and other gene sequences to study the evolutionary origins of bacteria, but these strategies do not provide insight into the sharing of genes among bacteria via horizontal transfer. In this work we use an open source software program called pClust to cluster proteins from the complete proteomes of twelve species of Alphaproteobacteria and generate a dendrogram from the resulting orthologous protein clusters. We compare the results with dendrograms constructed using the 16S rRNA gene and multiple sequence alignment of seven housekeeping genes. Analysis of the whole proteomes of these pathogens grouped Rickettsia typhi with three other animal pathogens whereas conventional sequence analysis failed to group these pathogens together. We conclude that whole-proteome analysis can give insight into relationships among species beyond their phylogeny, perhaps reflecting the effects of horizontal gene transfer and potentially providing insight into the functions of shared genes by means of shared phenotypes. |
format | Online Article Text |
id | pubmed-4235700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42357002014-11-25 Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens Zhou, Yunyun Call, Douglas R. Broschat, Shira L. Pathogens Article Thousands of whole-genome and whole-proteome sequences have been made available through advances in sequencing technology, and sequences of millions more organisms will become available in the coming years. This wealth of genetic information will provide numerous opportunities to enhance our understanding of these organisms including a greater understanding of relationships among species. Researchers have used 16S rRNA and other gene sequences to study the evolutionary origins of bacteria, but these strategies do not provide insight into the sharing of genes among bacteria via horizontal transfer. In this work we use an open source software program called pClust to cluster proteins from the complete proteomes of twelve species of Alphaproteobacteria and generate a dendrogram from the resulting orthologous protein clusters. We compare the results with dendrograms constructed using the 16S rRNA gene and multiple sequence alignment of seven housekeeping genes. Analysis of the whole proteomes of these pathogens grouped Rickettsia typhi with three other animal pathogens whereas conventional sequence analysis failed to group these pathogens together. We conclude that whole-proteome analysis can give insight into relationships among species beyond their phylogeny, perhaps reflecting the effects of horizontal gene transfer and potentially providing insight into the functions of shared genes by means of shared phenotypes. MDPI 2013-11-26 /pmc/articles/PMC4235700/ /pubmed/25437336 http://dx.doi.org/10.3390/pathogens2040627 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Zhou, Yunyun Call, Douglas R. Broschat, Shira L. Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens |
title | Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens |
title_full | Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens |
title_fullStr | Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens |
title_full_unstemmed | Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens |
title_short | Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens |
title_sort | whole-proteome analysis of twelve species of alphaproteobacteria links four pathogens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235700/ https://www.ncbi.nlm.nih.gov/pubmed/25437336 http://dx.doi.org/10.3390/pathogens2040627 |
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