is a Gram-positive bacterium found in soil where the condition changes demand plasticity of the regulatory machinery. The study of such machinery at the global scale has been challenged by the lack of data integration. Here, we report three regulatory network models for : (3040 interactions) constructed solely with regulations previously supported by directed experiments; (4665 interactions) containing the network, regulations previously supported by nondirected experiments, and protein-protein interactions with a direct effect on gene transcription; (5222 interactions) containing the network and sRNA-mediated regulations. Compared to the previous version (2018), the and networks increased by 75 and 1225 interactions, respectively. We analyzed the system-level components of the three networks to identify how they differ and compared their structures against those for the networks of more than 40 species. The inclusion of the sRNA-mediated regulations changed the proportions of the system-level components and increased the number of modules but decreased their size. The regulatory structure contrasted with other bacterial regulatory networks. Finally, we used the networks of three model organisms to provide insights and future directions of the regulatory network characterization.