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xenoGI:重建密切相关细菌类群中基因组岛插入的历史。

xenoGI: reconstructing the history of genomic island insertions in clades of closely related bacteria.

机构信息

Department of Biology, Harvey Mudd College, 301 Platt Blvd., Claremont, 91711, CA, USA.

Current address: Department of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, 98195-5065, WA, USA.

出版信息

BMC Bioinformatics. 2018 Feb 5;19(1):32. doi: 10.1186/s12859-018-2038-0.

Abstract

BACKGROUND

Genomic islands play an important role in microbial genome evolution, providing a mechanism for strains to adapt to new ecological conditions. A variety of computational methods, both genome-composition based and comparative, have been developed to identify them. Some of these methods are explicitly designed to work in single strains, while others make use of multiple strains. In general, existing methods do not identify islands in the context of the phylogeny in which they evolved. Even multiple strain approaches are best suited to identifying genomic islands that are present in one strain but absent in others. They do not automatically recognize islands which are shared between some strains in the clade or determine the branch on which these islands inserted within the phylogenetic tree.

RESULTS

We have developed a software package, xenoGI, that identifies genomic islands and maps their origin within a clade of closely related bacteria, determining which branch they inserted on. It takes as input a set of sequenced genomes and a tree specifying their phylogenetic relationships. Making heavy use of synteny information, the package builds gene families in a species-tree-aware way, and then attempts to combine into islands those families whose members are adjacent and whose most recent common ancestor is shared. The package provides a variety of text-based analysis functions, as well as the ability to export genomic islands into formats suitable for viewing in a genome browser. We demonstrate the capabilities of the package with several examples from enteric bacteria, including an examination of the evolution of the acid fitness island in the genus Escherichia. In addition we use output from simulations and a set of known genomic islands from the literature to show that xenoGI can accurately identify genomic islands and place them on a phylogenetic tree.

CONCLUSIONS

xenoGI is an effective tool for studying the history of genomic island insertions in a clade of microbes. It identifies genomic islands, and determines which branch they inserted on within the phylogenetic tree for the clade. Such information is valuable because it helps us understand the adaptive path that has produced living species.

摘要

背景

基因组岛在微生物基因组进化中起着重要作用,为菌株适应新的生态条件提供了一种机制。已经开发了多种基于基因组组成和比较的计算方法来识别它们。其中一些方法专门设计用于单菌株,而另一些方法则利用多菌株。一般来说,现有的方法没有在其进化的系统发育背景下识别岛屿。即使是多菌株方法也最适合识别在一个菌株中存在而在其他菌株中不存在的基因组岛。它们不能自动识别在进化枝中某些菌株之间共享的岛屿,也不能确定这些岛屿在系统发育树内插入的分支。

结果

我们开发了一个软件包 xenoGI,用于识别基因组岛并在密切相关的细菌进化枝内定位其起源,确定它们插入的分支。它以一组测序基因组和指定它们系统发育关系的树作为输入。该软件包大量使用同线性信息,以物种树感知的方式构建基因家族,然后尝试将成员相邻且最近共同祖先共享的家族组合成岛屿。该软件包提供了多种基于文本的分析功能,以及将基因组岛导出到适合在基因组浏览器中查看的格式的能力。我们用来自肠杆菌科的几个例子展示了该软件包的功能,包括对属 Escherichia 中的酸适应岛进化的研究。此外,我们还使用模拟输出和一组来自文献的已知基因组岛来表明 xenoGI 可以准确识别基因组岛并将其放置在系统发育树上。

结论

xenoGI 是研究微生物进化枝中基因组岛插入历史的有效工具。它可以识别基因组岛,并确定它们在进化枝的系统发育树中插入的分支。这些信息很有价值,因为它有助于我们了解产生生命物种的适应途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d786/5799925/93e1faa976fc/12859_2018_2038_Fig1_HTML.jpg

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