铜绿假单胞菌的调控网络。

Edgardo Galán-Vásquez, Beatriz Luna, Agustino Martínez-Antonio
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引用次数: 79

摘要

背景:铜绿假单胞菌是一种重要的细菌模式,由于其代谢和致病能力,使其能够相互作用并定植广泛的宿主,包括植物和动物。在这项工作中,我们编译和分析的结构和组织的实验支持的调节网络在这种细菌。结果:该调控网络由690个基因及其产物之间的1020个调控相互作用组成(占总基因的12%,sigma占54%,转录因子占16%)。这种复杂的相互作用形成了细菌中第三大的调节网络。整个网络丰富,可以激活相互作用,特别的是,转录因子(tf)的自我激活似乎更为突出,这与自我抑制占主导地位的其他生物网络形成鲜明对比。该网络包含650个基因的巨大组成部分,分为11个等级,包括重要的生物过程,如生物膜的形成,胞外多糖海藻酸盐的产生和几种毒力因子,以及所谓的群体感应规则。结论:铜绿假单胞菌的基因调控研究偏向于致病和毒力过程,这些过程是相互关联的。该网络显示幂律分布-输入度-,我们确定了十大全球调节器,六个双元素循环,最长路径有十个步骤,六个生物模块和包含三个和四个元素的主要基序。我们认为这项工作可以为进一步研究的设计提供见解,以覆盖这种重要细菌模型知识中的许多空白,并为设计对抗这种细菌的系统策略提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Regulatory Network of Pseudomonas aeruginosa.

The Regulatory Network of Pseudomonas aeruginosa.

The Regulatory Network of Pseudomonas aeruginosa.

The Regulatory Network of Pseudomonas aeruginosa.

Background: Pseudomonas aeruginosa is an important bacterial model due to its metabolic and pathogenic abilities, which allow it to interact and colonize a wide range of hosts, including plants and animals. In this work we compile and analyze the structure and organization of an experimentally supported regulatory network in this bacterium.

Results: The regulatory network consists of 690 genes and 1020 regulatory interactions between their products (12% of total genes: 54% sigma and 16% of transcription factors). This complex interplay makes the third largest regulatory network of those reported in bacteria. The entire network is enriched for activating interactions and, peculiarly, self-activation seems to occur more prominent for transcription factors (TFs), which contrasts with other biological networks where self-repression is dominant. The network contains a giant component of 650 genes organized into 11 hierarchies, encompassing important biological processes, such as, biofilms formation, production of exopolysaccharide alginate and several virulence factors, and of the so-called quorum sensing regulons.

Conclusions: The study of gene regulation in P. aeruginosa is biased towards pathogenesis and virulence processes, all of which are interconnected. The network shows power-law distribution -input degree -, and we identified the top ten global regulators, six two-element cycles, the longest paths have ten steps, six biological modules and the main motifs containing three and four elements. We think this work can provide insights for the design of further studies to cover the many gaps in knowledge of this important bacterial model, and for the design of systems strategies to combat this bacterium.

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