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SyntTax:一个将基因共线性与原核生物分类学联系起来的网络服务器。

SyntTax: a web server linking synteny to prokaryotic taxonomy.

机构信息

Université Paris-Sud 11, CNRS, UMR8621, Institut de Génétique et Microbiologie, 91405, Orsay, France.

出版信息

BMC Bioinformatics. 2013 Jan 16;14:4. doi: 10.1186/1471-2105-14-4.

Abstract

BACKGROUND

The study of the conservation of gene order or synteny constitutes a powerful methodology to assess the orthology of genomic regions and to predict functional relationships between genes. The exponential growth of microbial genomic databases is expected to improve synteny predictions significantly. Paradoxically, this genomic data plethora, without information on organisms relatedness, could impair the performance of synteny analysis programs.

RESULTS

In this work, I present SyntTax, a synteny web service designed to take full advantage of the large amount or archaeal and bacterial genomes by linking them through taxonomic relationships. SyntTax incorporates a full hierarchical taxonomic tree allowing intuitive access to all completely sequenced prokaryotes. Single or multiple organisms can be chosen on the basis of their lineage by selecting the corresponding rank nodes in the tree. The synteny methodology is built upon our previously described Absynte algorithm with several additional improvements.

CONCLUSIONS

SyntTax aims to produce robust syntenies by providing prompt access to the taxonomic relationships connecting all completely sequenced microbial genomes. The reduction in redundancy offered by lineage selection presents the benefit of increasing accuracy while reducing computation time. This web tool was used to resolve successfully several conserved complex gene clusters described in the literature. In addition, particular features of SyntTax permit the confirmation of the involvement of the four components constituting the E. coli YgjD multiprotein complex responsible for tRNA modification. By analyzing the clustering evolution of alternative gene fusions, new proteins potentially interacting with this complex could be proposed. The web service is available at http://archaea.u-psud.fr/SyntTax.

摘要

背景

基因顺序或共线性的保护研究构成了评估基因组区域同源性和预测基因之间功能关系的强大方法。微生物基因组数据库的指数级增长预计将极大地提高共线性预测的性能。矛盾的是,这种基因组数据的大量涌现,如果没有关于生物体亲缘关系的信息,可能会影响共线性分析程序的性能。

结果

在这项工作中,我提出了 SyntTax,这是一个共线性网络服务,旨在通过将它们通过分类学关系链接起来,充分利用大量的古菌和细菌基因组。SyntTax 包含一个完整的分层分类树,允许直观地访问所有完全测序的原核生物。可以根据它们的谱系通过选择树中的相应等级节点来选择单个或多个生物体。共线性方法是基于我们之前描述的 Absynte 算法构建的,并且进行了一些其他的改进。

结论

SyntTax 的目的是通过提供连接所有完全测序微生物基因组的分类学关系的快速访问,产生稳健的共线性。谱系选择提供的减少冗余的好处是提高了准确性,同时减少了计算时间。这个网络工具被成功地用于解析文献中描述的几个保守的复杂基因簇。此外,SyntTax 的特殊功能允许确认构成负责 tRNA 修饰的大肠杆菌 YgjD 多蛋白复合物的四个组成部分的参与。通过分析替代基因融合的聚类进化,可以提出与该复合物相互作用的新蛋白质。该网络服务可在 http://archaea.u-psud.fr/SyntTax 获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d413/3571937/66d4cc9da613/1471-2105-14-4-1.jpg

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