Exploring the Glucose Fluxotype of the E. coli y-ome Using High-Resolution Fluxomics

Author:

Bergès CéciliaORCID,Cahoreau EdernORCID,Millard PierreORCID,Enjalbert BriceORCID,Dinclaux MickaelORCID,Heuillet Maud,Kulyk Hanna,Gales Lara,Butin Noémie,Chazalviel MaximeORCID,Palama TonyORCID,Guionnet MatthieuORCID,Sokol SergueïORCID,Peyriga LindsayORCID,Bellvert Floriant,Heux Stéphanie,Portais Jean-CharlesORCID

Abstract

We have developed a robust workflow to measure high-resolution fluxotypes (metabolic flux phenotypes) for large strain libraries under fully controlled growth conditions. This was achieved by optimizing and automating the whole high-throughput fluxomics process and integrating all relevant software tools. This workflow allowed us to obtain highly detailed maps of carbon fluxes in the central carbon metabolism in a fully automated manner. It was applied to investigate the glucose fluxotypes of 180 Escherichia coli strains deleted for y-genes. Since the products of these y-genes potentially play a role in a variety of metabolic processes, the experiments were designed to be agnostic as to their potential metabolic impact. The obtained data highlight the robustness of E. coli’s central metabolism to y-gene deletion. For two y-genes, deletion resulted in significant changes in carbon and energy fluxes, demonstrating the involvement of the corresponding y-gene products in metabolic function or regulation. This work also introduces novel metrics to measure the actual scope and quality of high-throughput fluxomics investigations.

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

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