Exploring the Glucose Fluxotype of the E. coli y-ome Using High-Resolution Fluxomics.
Cécilia BergèsEdern CahoreauPierre MillardBrice EnjalbertMickael DinclauxMaud HeuilletHanna KulykLara GalesNoémie ButinMaxime ChazalvielTony PalamaMatthieu GuionnetSergueï SokolLindsay PeyrigaFloriant BellvertStéphanie HeuxJean-Charles PortaisPublished in: Metabolites (2021)
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.
Keyphrases
- high throughput
- escherichia coli
- genome wide
- high resolution
- genome wide identification
- bioinformatics analysis
- copy number
- electronic health record
- genome wide analysis
- machine learning
- single cell
- transcription factor
- weight loss
- data analysis
- type diabetes
- metabolic syndrome
- pseudomonas aeruginosa
- cystic fibrosis
- multidrug resistant
- staphylococcus aureus
- big data
- blood glucose
- climate change
- blood pressure
- biofilm formation