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DY: Fachverband Dynamik und Statistische Physik
DY 37: Networks: From Topology to Dynamics (joint session SOE/DY/BP) (joint session SOE/CPP/BP/DY)
DY 37.2: Vortrag
Mittwoch, 14. März 2018, 09:45–10:00, MA 001
The interdependent network of gene regulation and metabolism is robust where it needs to be — •Marc Hütt1, David Klosik2, Anne Grimbs1, and Stefan Bornholdt2 — 1Jacobs University, Bremen, Germany — 2Institute for Theoretical Physics, University of Bremen, Bremen, Germany
Despite being highly interdependent, the major biochemical networks of the living cell – the networks of interacting genes and of metabolic reactions, respectively – have been approached mostly as separate systems so far. Recently, a framework for interdependent networks has emerged in the context of statistical physics. In a first quantitative application of this framework to systems biology, here we study the interdependent network of gene regulation and metabolism for the model organism Escherichia coli in terms of a biologically motivated percolation model [1]. Particularly, we approach the system’s conflicting tasks of reacting rapidly to (internal and external) perturbations, while being robust to minor environmental fluctuations. Considering its response to perturbations that are localized with respect to functional criteria, we find the interdependent system to be sensitive to gene regulatory and protein-level perturbations, yet robust against metabolic changes. We expect this approach to be applicable to a range of other interdependent networks.
[1] Klosik, D. F., Grimbs, A., Bornholdt, S., and Hütt, M.-T. (2017). Nature Communications, 8(1):534.