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Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network

BACKGROUND: Phylogenetic methods are well-established bioinformatic tools for sequence analysis, allowing to describe the non-independencies of sequences because of their common ancestor. However, the evolutionary profiles of bacterial genes are often complicated by hidden paralogy and extensive and...

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Autores principales: Brilli, Matteo, Mengoni, Alessio, Fondi, Marco, Bazzicalupo, Marco, Liò, Pietro, Fani, Renato
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640388/
https://www.ncbi.nlm.nih.gov/pubmed/19099604
http://dx.doi.org/10.1186/1471-2105-9-551
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author Brilli, Matteo
Mengoni, Alessio
Fondi, Marco
Bazzicalupo, Marco
Liò, Pietro
Fani, Renato
author_facet Brilli, Matteo
Mengoni, Alessio
Fondi, Marco
Bazzicalupo, Marco
Liò, Pietro
Fani, Renato
author_sort Brilli, Matteo
collection PubMed
description BACKGROUND: Phylogenetic methods are well-established bioinformatic tools for sequence analysis, allowing to describe the non-independencies of sequences because of their common ancestor. However, the evolutionary profiles of bacterial genes are often complicated by hidden paralogy and extensive and/or (multiple) horizontal gene transfer (HGT) events which make bifurcating trees often inappropriate. In this context, plasmid sequences are paradigms of network-like relationships characterizing the evolution of prokaryotes. Actually, they can be transferred among different organisms allowing the dissemination of novel functions, thus playing a pivotal role in prokaryotic evolution. However, the study of their evolutionary dynamics is complicated by the absence of universally shared genes, a prerequisite for phylogenetic analyses. RESULTS: To overcome such limitations we developed a bioinformatic package, named Blast2Network (B2N), allowing the automatic phylogenetic profiling and the visualization of homology relationships in a large number of plasmid sequences. The software was applied to the study of 47 completely sequenced plasmids coming from Escherichia, Salmonella and Shigella spps. CONCLUSION: The tools implemented by B2N allow to describe and visualize in a new way some of the evolutionary features of plasmid molecules of Enterobacteriaceae; in particular it helped to shed some light on the complex history of Escherichia, Salmonella and Shigella plasmids and to focus on possible roles of unannotated proteins. The proposed methodology is general enough to be used for comparative genomic analyses of bacteria.
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spelling pubmed-26403882009-02-12 Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network Brilli, Matteo Mengoni, Alessio Fondi, Marco Bazzicalupo, Marco Liò, Pietro Fani, Renato BMC Bioinformatics Research Article BACKGROUND: Phylogenetic methods are well-established bioinformatic tools for sequence analysis, allowing to describe the non-independencies of sequences because of their common ancestor. However, the evolutionary profiles of bacterial genes are often complicated by hidden paralogy and extensive and/or (multiple) horizontal gene transfer (HGT) events which make bifurcating trees often inappropriate. In this context, plasmid sequences are paradigms of network-like relationships characterizing the evolution of prokaryotes. Actually, they can be transferred among different organisms allowing the dissemination of novel functions, thus playing a pivotal role in prokaryotic evolution. However, the study of their evolutionary dynamics is complicated by the absence of universally shared genes, a prerequisite for phylogenetic analyses. RESULTS: To overcome such limitations we developed a bioinformatic package, named Blast2Network (B2N), allowing the automatic phylogenetic profiling and the visualization of homology relationships in a large number of plasmid sequences. The software was applied to the study of 47 completely sequenced plasmids coming from Escherichia, Salmonella and Shigella spps. CONCLUSION: The tools implemented by B2N allow to describe and visualize in a new way some of the evolutionary features of plasmid molecules of Enterobacteriaceae; in particular it helped to shed some light on the complex history of Escherichia, Salmonella and Shigella plasmids and to focus on possible roles of unannotated proteins. The proposed methodology is general enough to be used for comparative genomic analyses of bacteria. BioMed Central 2008-12-21 /pmc/articles/PMC2640388/ /pubmed/19099604 http://dx.doi.org/10.1186/1471-2105-9-551 Text en Copyright © 2008 Brilli et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Brilli, Matteo
Mengoni, Alessio
Fondi, Marco
Bazzicalupo, Marco
Liò, Pietro
Fani, Renato
Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network
title Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network
title_full Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network
title_fullStr Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network
title_full_unstemmed Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network
title_short Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network
title_sort analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using blast2network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640388/
https://www.ncbi.nlm.nih.gov/pubmed/19099604
http://dx.doi.org/10.1186/1471-2105-9-551
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