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SyntTax: a web server linking synteny to prokaryotic taxonomy

机译:SyntTax:将连词与原核生物分类法链接的Web服务器

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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 webcite .
机译:背景技术对基因有序性或同义性的保守性的研究构成了一种强大的方法,可以评估基因组区域的正交性并预测基因之间的功能关系。微生物基因组数据库的指数增长有望显着改善同构性预测。矛盾的是,这种基因组数据过多,而没有关于生物相关性的信息,可能会损害同性分析程序的性能。结果在这项工作中,我介绍了SyntTax,这是一个Synnety Web服务,旨在通过分类关系将它们联系起来,从而充分利用大量或古细菌和细菌的基因组。 SyntTax合并了完整的分层分类树,可以直观地访问所有完全测序的原核生物。通过选择树中的相应等级节点,可以根据其世系来选择单个或多个生物。同步方法基于我们先前描述的Absynte算法,并进行了其他一些改进。结论SyntTax旨在通过提供快速访问连接所有完全测序的微生物基因组的生物分类关系来产生强大的同源性。由谱系选择提供的冗余减少带来了提高准确性的好处,同时减少了计算时间。该网络工具用于成功解析文献中描述的几个保守的复杂基因簇。另外,SyntTax的特殊功能可确认参与构成tRNA修饰的大肠杆菌YgjD多蛋白复合物的四个成分的参与。通过分析替代基因融合的聚类进化,可以提出可能与该复合物相互作用的新蛋白质。该Web服务可从http://archaea.u-psud.fr/SyntTax webcite获得。

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