# The interdependent network of gene regulation and metabolism is robust where it needs to be

## TL;DR

This study applies the theory of interdependent networks to the gene regulation and metabolism networks in E. coli, revealing their differential robustness and sensitivity to various perturbations, and demonstrating the utility of this approach in systems biology.

## Contribution

It is the first quantitative application of interdependent network theory to biological systems, elucidating the robustness and sensitivity of gene-metabolism networks.

## Key findings

- Network is sensitive to gene regulatory perturbations.
- Network is robust against metabolic changes.
- Interdependent network theory aids in analyzing biological robustness.

## Abstract

The major biochemical networks of the living cell, the network of interacting genes and the network of biochemical reactions, are highly interdependent, however, they have been studied mostly as separate systems so far. In the last years an appropriate theoretical framework for studying interdependent networks has been developed in the context of statistical physics. Here we study the interdependent network of gene regulation and metabolism of the model organism Escherichia coli using the theoretical framework of interdependent networks. In particular we aim at understanding how the biological system can consolidate the conflicting tasks of reacting rapidly to (internal and external) perturbations, while being robust to minor environmental fluctuations, at the same time. For this purpose we study the network response to localized perturbations and find that the interdependent network is sensitive to gene regulatory and protein-level perturbations, yet robust against metabolic changes. This first quantitative application of the theory of interdependent networks to systems biology shows how studying network responses to localized perturbations can serve as a useful strategy for analyzing a wide range of other interdependent networks.