ArticleJournal of bacteriology2015
Acetate Exposure Determines the Diauxic Behavior of Escherichia coli during the Glucose-Acetate Transition.
Article in Journal of bacteriology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- M9 medium composition alters E. coli metabolism during recombinant expression.Journal of biomolecular NMR · 2026Article
- Antibiotic resistance increases evolvability and maximizes opportunities across fitness landscapes.Frontiers in microbiology · 2026Article
- Exploring the biochemical landscape of bacterial medium with pyruvate as the exclusive carbon source for NMR studies.Journal of biomolecular NMR · 2025Article
- Bacterial acetate metabolism and its influence on human epithelia.Emerging topics in life sciences · 2024Review
- Ribosome-binding antibiotics increase bacterial longevity and growth efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Model-Based Characterization ofBioengineering (Basel, Switzerland) · 2023Article
- A Unique Response Behavior in the Dissolved Oxygen Tension inBioengineering (Basel, Switzerland) · 2023Article
- Substantial gradient mitigation in simulated large-scale bioreactors by optimally placed multiple feed points.Biotechnology and bioengineering · 2022Article
- Regulatory perturbations of ribosome allocation in bacteria reshape the growth proteome with a trade-off in adaptation capacity.iScience · 2022Article
- Suboptimal resource allocation in changing environments constrains response and growth in bacteria.Molecular systems biology · 2021Article
- Optimizing the Expression and Solubilization of an E. coli-Produced Leukemia Inhibitory Factor for Anti-LIF Antibody Production and Use Thereof for Contraception in Mice.Molecular biotechnology · 2021Article
- Emergence of diauxie as an optimal growth strategy under resource allocation constraints in cellular metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Genomewide Stabilization of mRNA during a "Feast-to-Famine" Growth Transition in Escherichia coli.mSphere · 2020Article
- Bacterial Glycogen Provides Short-Term Benefits in Changing Environments.Applied and environmental microbiology · 2020Article
- Enhanced production of heterologous proteins by a synthetic microbial community: Conditions and trade-offs.PLoS computational biology · 2020Article
- Comparison of Glucose, Acetate and Ethanol as Carbon Resource for Production of Poly(3-Hydroxybutyrate) and Other Acetyl-CoA Derivatives.Frontiers in bioengineering and biotechnology · 2020Article
- Transcriptional Changes in the Xylose Operon inInternational journal of molecular sciences · 2019Article
- Metabolic activity affects the response of single cells to a nutrient switch in structured populations.Journal of the Royal Society, Interface · 2019Article
- The Csr System RegulatesmBio · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledGrowth of Escherichia coli on glucose in batch culture is accompanied by the excretion of acetate, which is consumed by the cells when glucose is exhausted. This glucose-acetate transition is classically described as a diauxie (two successive growth stages). Here, we investigated the physiological and metabolic properties of cells after glucose exhaustion through the analysis of growth parameters and gene expression. We found that E. coli cells grown on glucose in batch culture produce acetate and consume it after glucose exhaustion but do not grow on acetate. Acetate is catabolized, but key anabolic genes--such as the genes encoding enzymes of the glyoxylate shunt--are not upregulated, hence preventing growth. Both the induction of the latter anabolic genes and growth were observed only after prolonged exposure to low concentrations of acetate and could be accelerated by high acetate concentrations. We postulate that such decoupling between acetate catabolism and acetate anabolism might be an advantage for the survival of E. coli in the ever-changing environment of the intestine. IMPORTANCE: The glucose-acetate transition is a valuable experimental model for comprehensive investigations of metabolic adaptation and a current paradigm for developing modeling approaches in systems microbiology. Yet, the work reported in our paper demonstrates that the metabolic behavior of Escherichia coli during the glucose-acetate transition is much more complex than what has been reported so far. A decoupling between acetate catabolism and acetate anabolism was observed after glucose exhaustion, which has not been reported previously. This phenomenon could represent a strategy for optimal utilization of carbon resources during colonization and persistence of E. coli in the gut and is also of significant interest for biotechnological applications.
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.