ArticleProceedings of the National Academy of Sciences of the United States of America2015
Integrated, systems metabolic picture of acetone-butanol-ethanol fermentation by Clostridium acetobutylicum.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Biobutanol production from underutilized substrates usingCurrent research in microbial sciences · 2024Review
- Digital PCR: a tool in clostridial mutant selection and detection.Applied microbiology and biotechnology · 2023Article
- Modeling control and transduction of electrochemical gradients in acid-stressed bacteria.iScience · 2023Article
- Model-driven approach for the production of butyrate from COFrontiers in microbiology · 2022Article
- Synthetic Biology on Acetogenic Bacteria for Highly Efficient Conversion of C1 Gases to Biochemicals.International journal of molecular sciences · 2020Review
- Modeling microbial cross-feeding at intermediate scale portrays community dynamics and species coexistence.PLoS computational biology · 2020Article
- Consolidated bioprocessing for butanol production of cellulolytic Clostridia: development and optimization.Microbial biotechnology · 2020Review
- Metabolic engineering of Escherichia coli carrying the hybrid acetone-biosynthesis pathway for efficient acetone biosynthesis from acetate.Microbial cell factories · 2019Article
- Quantitative proteomic analysis reveals the ethanologenic metabolism regulation ofBiotechnology for biofuels · 2019Article
- A small-scale investigation process for theEngineering in life sciences · 2018Article
- Article
- Amino acid catabolism-directed biofuel production inBiotechnology reports (Amsterdam, Netherlands) · 2017Review
- Metabolite labelling reveals hierarchies in Clostridium acetobutylicum that selectively channel carbons from sugar mixtures towards biofuel precursors.Microbial biotechnology · 2017Article
- Challenges and Advances for Genetic Engineering of Non-model Bacteria and Uses in Consolidated Bioprocessing.Frontiers in microbiology · 2017Review
- Improving isopropanol tolerance and production of Clostridium beijerinckii DSM 6423 by random mutagenesis and genome shuffling.Applied microbiology and biotechnology · 2016Article
- Article
- Rebalancing Redox to Improve Biobutanol Production byBioengineering (Basel, Switzerland) · 2015Article
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Authors and funding
9 authors.
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Abstract
Microbial metabolism involves complex, system-level processes implemented via the orchestration of metabolic reactions, gene regulation, and environmental cues. One canonical example of such processes is acetone-butanol-ethanol (ABE) fermentation by Clostridium acetobutylicum, during which cells convert carbon sources to organic acids that are later reassimilated to produce solvents as a strategy for cellular survival. The complexity and systems nature of the process have been largely underappreciated, rendering challenges in understanding and optimizing solvent production. Here, we present a system-level computational framework for ABE fermentation that combines metabolic reactions, gene regulation, and environmental cues. We developed the framework by decomposing the entire system into three modules, building each module separately, and then assembling them back into an integrated system. During the model construction, a bottom-up approach was used to link molecular events at the single-cell level into the events at the population level. The integrated model was able to successfully reproduce ABE fermentations of the WT C. acetobutylicum (ATCC 824), as well as its mutants, using data obtained from our own experiments and from literature. Furthermore, the model confers successful predictions of the fermentations with various network perturbations across metabolic, genetic, and environmental aspects. From foundation to applications, the framework advances our understanding of complex clostridial metabolism and physiology and also facilitates the development of systems engineering strategies for the production of advanced biofuels.
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