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两个细菌基因组中功能相关基因的保守簇

Conserved clusters of functionally related genes in two bacterial genomes.

作者信息

Tamames J, Casari G, Ouzounis C, Valencia A

机构信息

Protein Design Group, CNB-CSIC, Campus U. Autonoma, Cantoblanco, E-28049 Madrid, Spain.

出版信息

J Mol Evol. 1997 Jan;44(1):66-73. doi: 10.1007/pl00006122.

Abstract

An approach for genome comparison, combining function classification of gene products and sequence comparison, is presented. The genomes of Haemophilus influenzae and Escherichia coli are analyzed, and all genes are classified into nine major functional classes, corresponding to important cellular processes. To study gene order relationships and genome organization in the two bacteria, we performed statistics on neighboring pairs of genes. To estimate the significance of the observations, a statistical model based on binomial distributions has been developed. Significant patterns of gene order are observed within, as well as between, the two bacterial genomes: Functionally related genes tend to be neighbors more often than do unrelated genes. Some of these groups represent well-known operons, but additional gene clusters are identified. These clusters correspond to genomic elements that have been conserved during bacterial evolution. In addition to nearest-neighbor relationships, the method is also useful to study the relative direction of transcription in genomes, which is also highly conserved between homologous gene pairs. This new approach combines the high-level description of molecular function with pair statistics that express genome organization. It is expected to complement traditional methods of sequence analysis in the study of genomic structure, function, and evolution.

摘要

本文提出了一种基因组比较方法,该方法结合了基因产物的功能分类和序列比较。对流感嗜血杆菌和大肠杆菌的基因组进行了分析,所有基因被分为九个主要功能类别,对应于重要的细胞过程。为了研究这两种细菌中的基因顺序关系和基因组组织,我们对相邻基因对进行了统计。为了评估观察结果的显著性,开发了一种基于二项分布的统计模型。在这两种细菌基因组内部以及之间都观察到了显著的基因顺序模式:功能相关的基因比不相关的基因更倾向于成为邻居。其中一些基因簇代表了已知的操纵子,但也识别出了额外的基因簇。这些簇对应于在细菌进化过程中保守的基因组元件。除了最近邻关系外,该方法对于研究基因组中转录的相对方向也很有用,同源基因对之间的转录方向也高度保守。这种新方法将分子功能的高级描述与表达基因组组织的配对统计相结合。预计它将在基因组结构、功能和进化研究中补充传统的序列分析方法。

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