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 bacteri.

Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network / M. Brilli, A. Mengoni, M. Fondi, M. Bazzicalupo, P. Liò, R. Fani. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 9(2008), pp. 551.1-551.13.

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

M. Brilli;
2008

Abstract

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 bacteri.
English
Enteroinvasive escherichia-coli; comparative genomics; salmonella-enterica; bacterial communities; evolution; sequence; populations; expression; shigella; dynamics
Settore BIO/19 - Microbiologia Generale
Articolo
Esperti anonimi
Pubblicazione scientifica
2008
9
551
1
13
13
Pubblicato
Periodico con rilevanza internazionale
Aderisco
info:eu-repo/semantics/article
Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network / M. Brilli, A. Mengoni, M. Fondi, M. Bazzicalupo, P. Liò, R. Fani. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 9(2008), pp. 551.1-551.13.
open
Prodotti della ricerca::01 - Articolo su periodico
6
262
Article (author)
si
M. Brilli, A. Mengoni, M. Fondi, M. Bazzicalupo, P. Liò, R. Fani
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/621389
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