Analysis of phylogenetic profiles using Bayesian decomposition

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003 Pub Date : 2003-08-11 DOI:10.1109/CSB.2003.1227380

Ghislain Bidaut, K. Suhre, J. Claverie, M. Ochs

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引用次数: 1

Abstract

Antibiotic resistance together with the side effects of broad spectrum antibacterials make development of targeted antibiotics of great interest. To meet the problem of identifying potential targets specific to some genuses, a dataset comprising a series of phylogenetic profiles was built for a series of pathogenic bacteria of interest. The profiles are the highest BLAST scores for genes compared to selected genes of E. coli and M. tuberculosis. The dataset reflects the past evolution of those genes due to adaptation to specific niches, marked by lateral gene transfer, duplication and mutation of existing genes, or merging of existing genes. Genes that function together will be constrained to evolve together, to maintain viability in the organism. However, a given gene may have a role in multiple functional groups through the evolutionary process. Analysis using Bayesian decomposition helps to retrieve those relationships by retrieving fundamental patterns related to the evolutionary retained functions.

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基于贝叶斯分解的系统发育分析

抗生素耐药性以及广谱抗菌药物的副作用使得靶向抗生素的开发受到极大关注。为了解决识别特定于某些属的潜在靶标的问题，为一系列感兴趣的致病菌建立了一个包含一系列系统发育概况的数据集。与大肠杆菌和结核分枝杆菌的选定基因相比，这些谱是基因的最高BLAST分数。该数据集反映了这些基因由于适应特定生态位而过去的进化，其特征是基因的横向转移、现有基因的复制和突变，或现有基因的合并。共同发挥作用的基因将被迫共同进化，以维持有机体的生存能力。然而，在进化过程中，一个特定的基因可能在多个功能群中发挥作用。使用贝叶斯分解的分析通过检索与进化保留功能相关的基本模式来帮助检索这些关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003

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