Global protein-protein interaction network in the human pathogen Mycobacterium tuberculosis H37Rv.
Analysis of the protein-protein interaction network of a pathogen is a powerful approach for dissecting gene function, potential signal transduction, and virulence pathways. This study looks at the construction of a global protein-protein interaction (PPI) network for the human pathogen Mycobacterium tuberculosis H37Rv, based on a high-throughput bacterial two-hybrid method. Almost the entire ORFeome was cloned, and more than 8000 novel interactions were identified. The overall quality of the PPI network was validated through two independent methods, and a high success rate of more than 60% was obtained. The parameters of PPI networks were calculated. The average shortest path length was 4.31. The topological coefficient of the M. tuberculosis B2H network perfectly followed a power law distribution (correlation = 0.999; R-squared = 0.999) and represented the best fit in all currently available PPI networks. A cross-species PPI network comparison revealed 94 conserved subnetworks between M. tuberculosis and several prokaryotic organism PPI networks. The global network was linked to the protein secretion pathway. Two WhiB-like regulators were found to be highly connected proteins in the global network. This is the first systematic noncomputational PPI data for the human pathogen, and it provides a useful resource for studies of infection mechanisms, new signaling pathways, and novel antituberculosis drug development.
National Key Laboratory of Agricultural Microbiology, Center for Proteomics Research, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Yi
Y
Wang
Tao
T
Cui
Cong
C
Zhang
Min
M
Yang
Yuanxia
Y
Huang
Weihui
W
Li
Lei
L
Zhang
Chunhui
C
Gao
Yang
Y
He
Yuqing
Y
Li
Feng
F
Huang
Jumei
J
Zeng
Cheng
C
Huang
Qiong
Q
Yang
Yuxi
Y
Tian
Chunchao
C
Zhao
Huanchun
H
Chen
Hua
H
Zhang
Zheng-Guo
ZG
He
D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism*; D006801:Humans; D008954:Models, Biological; D009169:Mycobacterium tuberculosis / Q000235:genetics / Q000378:metabolism*; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D040901:Proteomics / Q000379:methods; D015398:Signal Transduction; D014376:Tuberculosis / Q000382:microbiology; D020798:Two-Hybrid System Techniques
D001426:Bacterial Proteins