Reconstruction and topological characterization of the sigma factor regulatory network of Mycobacterium tuberculosis.
Reconstruction and topological characterization of the sigma factor regulatory network of Mycobacterium tuberculosis.
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DOI：
10.1038/ncomms11062
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发表时间：
2016-03-31
影响因子：
16.6
通讯作者：
Gennaro ML
中科院分区：
文献类型：
--
作者：
Chauhan R;Ravi J;Datta P;Chen T;Schnappinger D;Bassler KE;Balázsi G;Gennaro ML
辅助σ因子，重新编程RNA聚合酶以转录特定的基因组，激活细菌对有害环境的适应性反应。在这里，我们重建了完整的西格玛因子调控网络的人类病原体结核分枝杆菌的综合方法。该方法结合了M之间直接监管相互作用的识别。结核σ因子在E. coli模型系统中，对M.结核病和广泛的文献综述。由此产生的网络包括所有13个sigma因子之间的41个直接交互。网络拓扑结构的分析揭示了（一）一个三层的层次结构，在主监管机构开始，（二）高连通性和（三）不同的社区包含多个西格玛因素。这些拓扑特征可能与多层信号处理和涉及多个西格玛因子的专门应力响应相关联。此外，过度代表的网络图案，如自动调节和共调节的西格玛和反西格玛因子对的识别，提供了结构信息，是相关的网络动力学的研究。 σ因子是调节蛋白，其响应于应激条件而重编程细菌RNA聚合酶以转录某些基因，包括用于其它σ因子的那些基因。在这里，Chauhan等人描述了病原体结核分枝杆菌的完整sigma因子调控网络。
Accessory sigma factors, which reprogram RNA polymerase to transcribe specific gene sets, activate bacterial adaptive responses to noxious environments. Here we reconstruct the complete sigma factor regulatory network of the human pathogen Mycobacterium tuberculosis by an integrated approach. The approach combines identification of direct regulatory interactions between M. tuberculosis sigma factors in an E. coli model system, validation of selected links in M. tuberculosis, and extensive literature review. The resulting network comprises 41 direct interactions among all 13 sigma factors. Analysis of network topology reveals (i) a three-tiered hierarchy initiating at master regulators, (ii) high connectivity and (iii) distinct communities containing multiple sigma factors. These topological features are likely associated with multi-layer signal processing and specialized stress responses involving multiple sigma factors. Moreover, the identification of overrepresented network motifs, such as autoregulation and coregulation of sigma and anti-sigma factor pairs, provides structural information that is relevant for studies of network dynamics. Sigma factors are regulatory proteins that reprogram the bacterial RNA polymerase in response to stress conditions to transcribe certain genes, including those for other sigma factors. Here, Chauhan et al. describe the complete sigma factor regulatory network of the pathogen Mycobacterium tuberculosis.