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通过系统发育谱分析质粒基因,并使用Blast2Network可视化同源关系。

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

作者信息

Brilli Matteo, Mengoni Alessio, Fondi Marco, Bazzicalupo Marco, Liò Pietro, Fani Renato

机构信息

Department of Evolutionary Biology, University of Florence, via Romana 17, I-50125 Florence, Italy.

出版信息

BMC Bioinformatics. 2008 Dec 21;9:551. doi: 10.1186/1471-2105-9-551.

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 bacteria.

摘要

背景

系统发育方法是用于序列分析的成熟生物信息学工具,能够描述由于共同祖先导致的序列非独立性。然而,细菌基因的进化谱常常因隐藏的旁系同源性以及广泛和/或(多次)水平基因转移(HGT)事件而变得复杂,这使得二叉树往往并不适用。在这种情况下,质粒序列是表征原核生物进化的网络状关系的范例。实际上,它们可以在不同生物体之间转移,从而实现新功能的传播,因此在原核生物进化中发挥着关键作用。然而,由于缺乏系统发育分析的先决条件——普遍共享的基因,对其进化动态的研究变得复杂。

结果

为了克服这些限制,我们开发了一个名为Blast2Network(B2N)的生物信息学软件包,它能够自动进行系统发育分析,并可视化大量质粒序列中的同源关系。该软件应用于对来自大肠杆菌、沙门氏菌和志贺氏菌属的47个完全测序的质粒进行研究。

结论

B2N实现的工具能够以一种新的方式描述和可视化肠杆菌科质粒分子的一些进化特征;特别是它有助于阐明大肠杆菌、沙门氏菌和志贺氏菌质粒的复杂历史,并关注未注释蛋白质的可能作用。所提出的方法具有足够的通用性,可用于细菌的比较基因组分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/300c/2640388/8eaa78535f00/1471-2105-9-551-1.jpg

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