Two component systems: physiological effect of a third component

• Published in: PloS one Vol. 7; no. 2; p. e31095
• Main Authors: Salvado, Baldiri, Vilaprinyo, Ester, Karathia, Hiren, Sorribas, Albert, Alves, Rui
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 17.02.2012; Public Library of Science (PLoS)
• Subjects: Bacteria; Biology; Cascades; Cellular signal transduction; Dynamic response; Environmental changes; Epidemiology; Epigenetics; Gene expression; Kinases; Mathematical analysis; Mathematical models; Models, Biological; Natural selection; Nitrogen; Ordinary differential equations; Phosphatase; Phosphorylation; Physiological aspects; Physiological effects; Physiology; Prokaryotes; Protein Kinases - metabolism; Protein Stability; Proteins; Pseudomonas; Pseudomonas aeruginosa; Sensors; Signal transduction; Signal Transduction - physiology; Stochastic Processes; Stochasticity; Studies; Time Factors; Tissue engineering; Transduction; Tuberculosis; Spain
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0031095

Signal transduction systems mediate the response and adaptation of organisms to environmental changes. In prokaryotes, this signal transduction is often done through Two Component Systems (TCS). These TCS are phosphotransfer protein cascades, and in their prototypical form they are composed by a kinase that senses the environmental signals (SK) and by a response regulator (RR) that regulates the cellular response. This basic motif can be modified by the addition of a third protein that interacts either with the SK or the RR in a way that could change the dynamic response of the TCS module. In this work we aim at understanding the effect of such an additional protein (which we call "third component") on the functional properties of a prototypical TCS. To do so we build mathematical models of TCS with alternative designs for their interaction with that third component. These mathematical models are analyzed in order to identify the differences in dynamic behavior inherent to each design, with respect to functionally relevant properties such as sensitivity to changes in either the parameter values or the molecular concentrations, temporal responsiveness, possibility of multiple steady states, or stochastic fluctuations in the system. The differences are then correlated to the physiological requirements that impinge on the functioning of the TCS. This analysis sheds light on both, the dynamic behavior of synthetically designed TCS, and the conditions under which natural selection might favor each of the designs. We find that a third component that modulates SK activity increases the parameter space where a bistable response of the TCS module to signals is possible, if SK is monofunctional, but decreases it when the SK is bifunctional. The presence of a third component that modulates RR activity decreases the parameter space where a bistable response of the TCS module to signals is possible.