Design principles of autocatalytic cycles constrain enzyme kinetics and force low substrate saturation at flux branch points

Author:

Barenholz Uri1ORCID,Davidi Dan1,Reznik Ed23ORCID,Bar-On Yinon1,Antonovsky Niv1,Noor Elad4,Milo Ron1ORCID

Affiliation:

1. Department of Plant and Environmental Sciences, The Weizmann Institute of Science, Rehovot, Israel

2. Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States

3. Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, United States

4. Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland

Abstract

A set of chemical reactions that require a metabolite to synthesize more of that metabolite is an autocatalytic cycle. Here, we show that most of the reactions in the core of central carbon metabolism are part of compact autocatalytic cycles. Such metabolic designs must meet specific conditions to support stable fluxes, hence avoiding depletion of intermediate metabolites. As such, they are subjected to constraints that may seem counter-intuitive: the enzymes of branch reactions out of the cycle must be overexpressed and the affinity of these enzymes to their substrates must be relatively weak. We use recent quantitative proteomics and fluxomics measurements to show that the above conditions hold for functioning cycles in central carbon metabolism of E. coli. This work demonstrates that the topology of a metabolic network can shape kinetic parameters of enzymes and lead to seemingly wasteful enzyme usage.

Funder

Israel Science Foundation

Beck-Canadian Center for Alternative Energy Research

Dana and Yossie Hollander

Leona M. and Harry B. Helmsley Charitable Trust

The Larson Charitable Foundation

Wolfson Family Charitable Trust

Charles Rothchild

Selmo Nussenbaum

Alternative Sustainable Energy Research Initiative

European Research Council

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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