Evidence map›Paper›PMID 26604256›Full record

ArticlemBio2015

A Quantitative System-Scale Characterization of the Metabolism of Clostridium acetobutylicum.

Minyeong Yoo, Gwenaelle Bestel-Corre, Christian Croux, Antoine Riviere, Isabelle Meynial-Salles, Philippe Soucaille

Open access · goldAbstract read
In one paragraph

Article in mBio, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Genetic modification ofApplied and environmental microbiology · 2026
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  4. Identification of electron transfer enzymes inJournal of bacteriology · 2025
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. NADH-based kinetic model for acetone-butanol-ethanol production byFrontiers in bioengineering and biotechnology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Minyeong YooUniversité de Toulouse, INSA, UPS, INP, LISBP, Toulouse, France INRA, UMR792, Toulouse, France CNRS, UMR5504, Toulouse, France.
Gwenaelle Bestel-CorreMetabolic Explorer, Biopôle Clermont-Limagne, Saint Beauzire, France.
Christian CrouxUniversité de Toulouse, INSA, UPS, INP, LISBP, Toulouse, France INRA, UMR792, Toulouse, France CNRS, UMR5504, Toulouse, France.
Antoine RiviereUniversité de Toulouse, INSA, UPS, INP, LISBP, Toulouse, France INRA, UMR792, Toulouse, France CNRS, UMR5504, Toulouse, France.
Isabelle Meynial-SallesUniversité de Toulouse, INSA, UPS, INP, LISBP, Toulouse, France INRA, UMR792, Toulouse, France CNRS, UMR5504, Toulouse, France.
Philippe SoucailleUniversité de Toulouse, INSA, UPS, INP, LISBP, Toulouse, France INRA, UMR792, Toulouse, France CNRS, UMR5504, Toulouse, France Metabolic Explorer, Biopôle Clermont-Limagne, Saint Beauzire, France philippe.soucaille@insa-toulouse.fr.
Centre National de la Recherche Scientifique · FRLaboratoire d'Ingénierie des Systèmes Biologiques et des Procédés · FRMETabolic Explorer (France) · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FRUniversité Toulouse III - Paul Sabatier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledEngineering industrial microorganisms for ambitious applications, for example, the production of second-generation biofuels such as butanol, is impeded by a lack of knowledge of primary metabolism and its regulation. A quantitative system-scale analysis was applied to the biofuel-producing bacterium Clostridium acetobutylicum, a microorganism used for the industrial production of solvent. An improved genome-scale model, iCac967, was first developed based on thorough biochemical characterizations of 15 key metabolic enzymes and on extensive literature analysis to acquire accurate fluxomic data. In parallel, quantitative transcriptomic and proteomic analyses were performed to assess the number of mRNA molecules per cell for all genes under acidogenic, solventogenic, and alcohologenic steady-state conditions as well as the number of cytosolic protein molecules per cell for approximately 700 genes under at least one of the three steady-state conditions. A complete fluxomic, transcriptomic, and proteomic analysis applied to different metabolic states allowed us to better understand the regulation of primary metabolism. Moreover, this analysis enabled the functional characterization of numerous enzymes involved in primary metabolism, including (i) the enzymes involved in the two different butanol pathways and their cofactor specificities, (ii) the primary hydrogenase and its redox partner, (iii) the major butyryl coenzyme A (butyryl-CoA) dehydrogenase, and (iv) the major glyceraldehyde-3-phosphate dehydrogenase. This study provides important information for further metabolic engineering of C. acetobutylicum to develop a commercial process for the production of n-butanol. IMPORTANCE: Currently, there is a resurgence of interest in Clostridium acetobutylicum, the biocatalyst of the historical Weizmann process, to produce n-butanol for use both as a bulk chemical and as a renewable alternative transportation fuel. To develop a commercial process for the production of n-butanol via a metabolic engineering approach, it is necessary to better characterize both the primary metabolism of C. acetobutylicum and its regulation. Here, we apply a quantitative system-scale analysis to acidogenic, solventogenic, and alcohologenic steady-state C. acetobutylicum cells and report for the first time quantitative transcriptomic, proteomic, and fluxomic data. This approach allows for a better understanding of the regulation of primary metabolism and for the functional characterization of numerous enzymes involved in primary metabolism.

Indexed as

Systems BiologyClostridium acetobutylicumGene Expression ProfilingMetabolic Flux AnalysisMetabolic Networks and PathwaysMolecular Sequence DataProteomeSequence Analysis, DNAProteome

Identifiers

PMID26604256
PMCPMC4669385
OpenAlexW2179008870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.