Published November 2009 | Version v1
Journal article

Slave nodes and the controllability of metabolic networks

  • 1. Department of Physics and Astronomy and Northwestern Institute on Complex Systems (NICO), Northwestern University, Evanston, IL 60208 (United States)

Description

Recent work on synthetic rescues has shown that the targeted deletion of specific metabolic genes can often be used to rescue otherwise non-viable mutants. This raises a fundamental biophysical question: to what extent can the whole-cell behavior of a large metabolic network be controlled by constraining the flux of one or more reactions in the network? This touches upon the issue of the number of degrees of freedom contained by one such network. Using the metabolic network of Escherichia coli as a model system, here we address this question theoretically by exploring not only reaction deletions, but also a continuum of all possible reaction expression levels. We show that the behavior of the metabolic network can be largely manipulated by the pinned expression of a single reaction. In particular, a relevant fraction of the metabolic reactions exhibits canalizing interactions, in that the specification of one reaction flux determines cellular growth as well as the fluxes of most other reactions in optimal steady states. The activity of individual reactions can thus be used as surrogates to monitor and possibly control cellular growth and other whole-cell behaviors. In addition to its implications for the study of control processes, our methodology provides a new approach to study how the integrated dynamics of the entire metabolic network emerges from the coordinated behavior of its component parts.

Availability note (English)

Available from http://dx.doi.org/10.1088/1367-2630/11/11/113047

Additional details

Publishing Information

Journal Title
New Journal of Physics
Journal Volume
11
Journal Issue
11
Journal Page Range
[12 p.]
ISSN
1367-2630

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41047746
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
BIOLOGICAL MODELS; DEGREES OF FREEDOM; ESCHERICHIA COLI; GENES; MUTANTS; NETWORK ANALYSIS; STEADY-STATE CONDITIONS
Descriptors DEC
BACTERIA; MICROORGANISMS