Impact Factor 4.076

The 3rd most cited journal in Microbiology

This article is part of the Research Topic

Bioinformatics in Microbiota

Review ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Microbiol. | doi: 10.3389/fmicb.2018.00296

The Genome-scale Integrated Networks in Microorganisms

 Tong Hao1, Dan Wu1, Lingxuan Zhao1, Qian Wang1,  Edwin Wang1, 2* and Jinsheng Sun1, 3*
  • 1College of Life Sciences, Tianjin Normal University, China
  • 2Cumming School of Medicine, University of Calgary, Canada
  • 3Tianjin Bohai Fisheries Research Institute, China

The genome-scale cellular network has become a necessary tool in the systematic analysis of microbes. In a cell, there are several layers (i.e., types) of the molecular networks, for example, metabolic network, transcriptional regulatory network and signal transduction network. It has been realized that the limitation and inaccuracy of the prediction exist just using only a single-layer network. Therefore, the integrated network constructed based on the networks of the three types attracts more interests. The function of a biological process in living cells is usually performed by the interaction of biological components. Therefore, it is necessary to integrate and analyze all the related components at the systems level for the comprehensively and correctly realizing the physiological function in living organisms. In this review, we discussed three representative genome-scale cellular networks: metabolic network, transcriptional regulatory network and signal transduction network, representing different levels (i.e., metabolism, gene regulation and cellular signaling) of a cell’s activities. Furthermore, we discussed the integration of the networks of the three types. With more understanding on the complexity of microbial cells, the development of integrated network has become an inevitable trend in analyzing genome-scale cellular networks of microorganisms.

Keywords: Integrated network, metabolic network, Signal transduction network, Microorganism, regulatory network

Received: 23 Dec 2017; Accepted: 08 Feb 2018.

Edited by:

Xing Chen, China University of Mining and Technology, China

Reviewed by:

Chunyu Zhu, Liaoning University, China
Qinghua Cui, Peking University, China  

Copyright: © 2018 Hao, Wu, Zhao, Wang, Wang and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Prof. Edwin Wang, University of Calgary, Cumming School of Medicine, Alberta, Calgary, T2N 4Z6, Canada,
Prof. Jinsheng Sun, Tianjin Normal University, College of Life Sciences, No.393, Binshui West Road, Xiqing District, Tianjin, 300387, China,