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

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...

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Bibliographic Details
Published in:Metabolites 2021-04, Vol.11 (5), p.271
Main Authors: Bergès, Cécilia, Cahoreau, Edern, Millard, Pierre, Enjalbert, Brice, Dinclaux, Mickael, Heuillet, Maud, Kulyk, Hanna, Gales, Lara, Butin, Noémie, Chazalviel, Maxime, Palama, Tony, Guionnet, Matthieu, Sokol, Sergueï, Peyriga, Lindsay, Bellvert, Floriant, Heux, Stéphanie, Portais, Jean-Charles
Format: Article
Language:English
Subjects:
Amino acids
Automation
Carbon
E coli
Experiments
fluxomics
Gene deletion
Gene mapping
Genes
Genomes
Glucose
Growth conditions
high throughput
high-resolution fluxotyping
Life Sciences
Metabolic flux
Metabolism
Metabolites
Phenotypes
Physiology
Software
y-ome phenotyping
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Summary: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 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 '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.
ISSN:2218-1989
2218-1989
DOI:10.3390/metabo11050271