ArticleJournal of bacteriology1999
Metabolic flux ratio analysis of genetic and environmental modulations of Escherichia coli central carbon metabolism.
Article in Journal of bacteriology, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
114 citing papers in PubMed, 376 citations in OpenAlex.
- Heterotrophic inorganic carbon fixation varies with temperature and resource availability in marine and soil bacterial isolates.Applied and environmental microbiology · 2026Article
- Anaerobic metabolic evolution for homotypic L-valine fermentation.Nature communications · 2026Article
- Reconstruction and exploitation of a dedicated Genome-Scale Metabolic Model of the human pathogenbioRxiv : the preprint server for biology · 2025Article
- Increased Mevalonate Production Using Engineered Citrate Synthase and Phosphofructokinase Variants of Escherichia coli.Biotechnology and bioengineering · 2025Article
- Glucose priming effect on microbial intercellular metabolic flux diversity in a marine intertidal sediment.PloS one · 2025Article
- Unveiling new features of the human pathogenComputational and structural biotechnology journal · 2025Article
- Quorum sensing in Vibrio controls carbon metabolism to optimize growth in changing environmental conditions.PLoS biology · 2024Article
- Review of the Proteomics and Metabolic Properties ofMicroorganisms · 2024Review
- Nitrous oxide reduction by two partial denitrifying bacteria requires denitrification intermediates that cannot be respired.Applied and environmental microbiology · 2024Article
- Synthesis of Metabolites and Metabolite-like Compounds Using Biocatalytic Systems.Metabolites · 2023Review
- Cofactor Metabolic Engineering ofBioengineering (Basel, Switzerland) · 2023Article
- Bonded cumomer analysis of tumor metabolism based onNMR in biomedicine · 2023Review
- Nutrient-Limited Operational Strategies for the Microbial Production of Biochemicals.Microorganisms · 2022Review
- Metabolic flux analysis: a comprehensive review on sample preparation, analytical techniques, data analysis, computational modelling, and main application areas.RSC advances · 2022Review
- Article
- Global pleiotropic effects in adaptively evolvedOpen biology · 2022Article
- Review
- Review
- Genome-scale metabolic modeling reveals key features of a minimal gene set.Molecular systems biology · 2021Article
- Global coordination of metabolic pathways in Escherichia coli by active and passive regulation.Molecular systems biology · 2021Article
54 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The response of Escherichia coli central carbon metabolism to genetic and environmental manipulation has been studied by use of a recently developed methodology for metabolic flux ratio (METAFoR) analysis; this methodology can also directly reveal active metabolic pathways. Generation of fluxome data arrays by use of the METAFoR approach is based on two-dimensional (13)C-(1)H correlation nuclear magnetic resonance spectroscopy with fractionally labeled biomass and, in contrast to metabolic flux analysis, does not require measurements of extracellular substrate and metabolite concentrations. METAFoR analyses of E. coli strains that moderately overexpress phosphofructokinase, pyruvate kinase, pyruvate decarboxylase, or alcohol dehydrogenase revealed that only a few flux ratios change in concert with the overexpression of these enzymes. Disruption of both pyruvate kinase isoenzymes resulted in altered flux ratios for reactions connecting the phosphoenolpyruvate (PEP) and pyruvate pools but did not significantly alter central metabolism. These data indicate remarkable robustness and rigidity in central carbon metabolism in the presence of genetic variation. More significant physiological changes and flux ratio differences were seen in response to altered environmental conditions. For example, in ammonia-limited chemostat cultures, compared to glucose-limited chemostat cultures, a reduced fraction of PEP molecules was derived through at least one transketolase reaction, and there was a higher relative contribution of anaplerotic PEP carboxylation than of the tricarboxylic acid (TCA) cycle for oxaloacetate synthesis. These two parameters also showed significant variation between aerobic and anaerobic batch cultures. Finally, two reactions catalyzed by PEP carboxykinase and malic enzyme were identified by METAFoR analysis; these had previously been considered absent in E. coli cells grown in glucose-containing media. Backward flux from the TCA cycle to glycolysis, as indicated by significant activity of PEP carboxykinase, was found only in glucose-limited chemostat culture, demonstrating that control of this futile cycle activity is relaxed under severe glucose limitation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.