Detecting the Escherichia coli metabolic backbone
Oriol G\"uell, Francesc Sagu\'es, M. \'Angeles Serrano

TL;DR
This paper constructs and analyzes the metabolic backbone of Escherichia coli using flux predictions to identify core pathways and environmental sensitivities, revealing evolutionary and adaptive features of metabolism.
Contribution
It introduces a method to extract the metabolic backbone from flux data and compares E. coli's backbone with that of Mycoplasma pneumoniae, highlighting evolutionary conserved pathways.
Findings
Central core consists of ancient energy metabolism pathways.
Nucleotide and lipid synthesis form smaller, energy-dependent cores.
Backbone analysis reveals pathways sensitive to environmental changes.
Abstract
The heterogeneity of reaction fluxes present in a metabolic network within a single flux state can be exploited to construct the so-called backbone as a reduced version of metabolism. The backbone maintains all significant fluxes producing or consuming metabolites while displaying a substantially decreased number of interconnections and, hence, it becomes a useful tool to extract primary metabolic routes. Here, we disclose the metabolic backbone of Escherichia coli using the computationally predicted fluxes which maximize the growth rate in glucose minimal medium, and we compare it with the backbone of Mycoplasma pneumoniae, a much simpler organism. We find that the central core in both backbones is mainly composed of reactions in ancient pathways, still playing at present a key role in energy metabolism. In E. coli, the analysis of the backbone reveals that the synthesis of nucleotides…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrobial Metabolic Engineering and Bioproduction · Protein Structure and Dynamics · Bacterial Genetics and Biotechnology
