| Literature DB >> 33926117 |
Cécilia Bergès1,2, Edern Cahoreau1,2, Pierre Millard1, Brice Enjalbert1, Mickael Dinclaux1, Maud Heuillet1,2, Hanna Kulyk1,2, Lara Gales1,2, Noémie Butin1,2,3, Maxime Chazalviel4, Tony Palama1,2, Matthieu Guionnet1,2, Sergueï Sokol1, Lindsay Peyriga1,2, Floriant Bellvert1,2, Stéphanie Heux1, Jean-Charles Portais1,2,3.
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.Entities:
Keywords: E. coli; fluxomics; high throughput; high-resolution fluxotyping; y-ome phenotyping
Year: 2021 PMID: 33926117 DOI: 10.3390/metabo11050271
Source DB: PubMed Journal: Metabolites ISSN: 2218-1989