Dataset Information

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

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.

OTHER RELATED OMICS DATASETS IN: PRJNA100395PRJNA95591

INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -, Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Cecilia Berges

PROVIDER: MTBLS2188 | MetaboLights | 2021-05-13

REPOSITORIES: MetaboLights

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Publications

Exploring the Glucose Fluxotype of the <i>E. coli</i> y-ome Using High-Resolution Fluxomics.

Bergès Cécilia C Cahoreau Edern E Millard Pierre P Enjalbert Brice B Dinclaux Mickael M Heuillet Maud M Kulyk Hanna H Gales Lara L Butin Noémie N Chazalviel Maxime M Palama Tony T Guionnet Matthieu M Sokol Sergueï S Peyriga Lindsay L Bellvert Floriant F Heux Stéphanie S Portais Jean-Charles JC

Metabolites 20210426 5

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 18 ...[more]

PMID: 33926117

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Project description:Transcription profiling of wild type E. coli MG1655, intestine-adapted E. coli MG1655star, and E. coli MG1655 flhD mutant grown on glucose, mannose, and mucus. We previously isolated a spontaneous mutant of E. coli K-12, strain MG1655, following passage through the streptomycin-treated mouse intestine, which has colonization traits superior to the wild-type parent strain (Leatham, et. al., 2005, Infect Immun 73:8039-49) The intestine-adapted strain (E. coli MG1655star) grew faster on several different carbon sources compared to the wild-type and was non-motile due to deletion of the flhD gene. To further characterize E. coli MG1655star, we used several high-throughput genomic approaches. Whole-genome pyrosequencing did not reveal any changes on its genome, aside from the deletion at the flhDC locus, that could explain the colonization advantage of E. coli MG1655star. Microarray analysis revealed modest, yet significant induction of catabolic gene systems across the genome in both E. coli MG1655star and the isogenic flhD mutant. Catabolome analysis with Biolog GN2 Microplates revealed an enhanced ability of both E. coli MG1655star and the isogenic flhD mutant to oxidize a wide variety of carbon sources. The results show that intestine-adapted E. coli MG1655star is more fit than the wild-type for intestinal colonization because loss of FlhD results in elevated expression of genes involved in carbon and energy metabolism, leading to more efficient carbon source utilization, which results in a higher population size in the intestine. Hence mutations that enhance metabolic efficiency confer a colonization advantage. Three strains were profiled: E. coli MG1655 wildtype, E. coli flhD, and an intestine adapted strain, MG1655star, derived from the wildtype and isolated from feces after 15 days in the streptomycin treated mouse intestine, which proved to be a better colonizer than the wildtype, were grown on MOPS minimal medium containing 0.2% glucose or mannose, or mucus (10 mg/ml) and RNA was extracted from logarithmic phase cultures, and also from mucus grown cells in late log phase.

Project description:In contrast to batch cultivation, chemostat cultivation allows the identification of carbon source responses without interference by carbon-catabolite repression, accumulation of toxic products, and differences in specific growth rate. This study focuses on the yeast Saccharomyces cerevisiae, grown in aerobic, carbon-limited chemostat cultures. Genome-wide transcript levels and in vivo fluxes were compared for growth on two sugars, glucose and maltose, and for two C2-compounds, ethanol and acetate. In contrast to previous reports on batch cultures, few genes (180 genes) responded to changes of the carbon source by a changed transcript level. Very few transcript levels were changed when glucose as the growth-limiting nutrient was compared with maltose (33 transcripts), or when acetate was compared with ethanol (16 transcripts). Although metabolic flux analysis using a stoichiometric model revealed major changes in the central carbon metabolism, only 117 genes exhibited a significantly different transcript level when sugars and C2-compounds were provided as the growthlimiting nutrient. Despite the extensive knowledge on carbon source regulation in yeast, many of the carbon source-responsive genes encoded proteins with unknown or incompletely characterized biological functions. In silico promoter analysis of carbon source-responsive genes confirmed the involvement of several known transcriptional regulators and suggested the involvement of additional regulators. Transcripts involved in the glyoxylate cycle and gluconeogenesis showed a good correlation with in vivo fluxes. This correlation was, however, not observed for other important pathways, including the pentose-phosphate pathway, tricarboxylic acid cycle, and, in particular, glycolysis. These results indicate that in vivo fluxes in the central carbon metabolism of S. cerevisiae grown in steadystate, carbon-limited chemostat cultures are controlled to a large extent via post-transcriptional mechanisms. Experiment Overall Design: Cultivation of microorganisms in chemostats offers numerous advantages for studying the structure and regulation of metabolic networks (11). In chemostat cultures, individual culture parameters can be changed, while keeping other relevant physical and chemical culture parameters (composition of synthetic medium, pH, temperature, aeration, etc.) constant. An especially important parameter in this respect is the specific growth rate, which, in a chemostat, is equal to the dilution rate, which can be accurately controlled. This allows the experimenter to investigate the effects of environmental changes or genetic interventions at a fixed specific growth rate, even if these changes result in different specific growth rates in batch cultures. In a chemostat, growth can be limited by a single, selected nutrient. The very low residual concentrations of this growth-limiting nutrient in chemostat cultures alleviate effects of catabolite repression and inactivation. Furthermore, these low residual substrate concentrations prevent substrate toxicity, which, for example, occurs when S. cerevisiae is grown on ethanol or acetate as the carbon source in batch cultures . Experiment Overall Design: The central goal of the present study is to assess to what extent carbon source-dependent regulation of fluxes through central carbon metabolism in S. cerevisiae is regulated at the level of transcription. To this end, we compare the transcriptome of carbon-limited, aerobic chemostat cultures grown on four different carbon sources: glucose, maltose, ethanol, and acetate. Data from the transcriptome analysis are compared with flux distribution profiles calculated with a stoichiometric metabolic network model. Questions that will be addressed are as follows: (i) does glucose-limited aerobic cultivation lead to a complete alleviation of glucose-catabolite repression; (ii) how (in)complete is our understanding of the genes involved in the transcriptional response of S. cerevisiae to four of the most common carbon sources for this yeast; and (iii) to what extent do transcriptome analyses with microarrays provide a reliable indication of flux distribution in metabolic networks?

Dataset Information

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

Publications

Exploring the Glucose Fluxotype of the <i>E. coli</i> y-ome Using High-Resolution Fluxomics.

Similar Datasets

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