Evidence map›Paper›PMID 28210797›Full record

ReviewApplied microbiology and biotechnology2017

Mathematical modelling of clostridial acetone-butanol-ethanol fermentation.

Thomas Millat, Klaus Winzer

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. NADH-based kinetic model for acetone-butanol-ethanol production byFrontiers in bioengineering and biotechnology · 2023
    Article
  4. Article
  5. Article
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

2 authors.

Thomas MillatClostridia Research Group, SBRC-Nottingham, a BBSRC/EPSRC Synthetic Biology Research Centre, School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK. thomas.millat@nottingham.ac.uk.ORCID http://orcid.org/0000-0002-5023-4142
Klaus WinzerClostridia Research Group, SBRC-Nottingham, a BBSRC/EPSRC Synthetic Biology Research Centre, School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clostridial acetone-butanol-ethanol (ABE) fermentation features a remarkable shift in the cellular metabolic activity from acid formation, acidogenesis, to the production of industrial-relevant solvents, solventogensis. In recent decades, mathematical models have been employed to elucidate the complex interlinked regulation and conditions that determine these two distinct metabolic states and govern the transition between them. In this review, we discuss these models with a focus on the mechanisms controlling intra- and extracellular changes between acidogenesis and solventogenesis. In particular, we critically evaluate underlying model assumptions and predictions in the light of current experimental knowledge. Towards this end, we briefly introduce key ideas and assumptions applied in the discussed modelling approaches, but waive a comprehensive mathematical presentation. We distinguish between structural and dynamical models, which will be discussed in their chronological order to illustrate how new biological information facilitates the 'evolution' of mathematical models. Mathematical models and their analysis have significantly contributed to our knowledge of ABE fermentation and the underlying regulatory network which spans all levels of biological organization. However, the ties between the different levels of cellular regulation are not well understood. Furthermore, contradictory experimental and theoretical results challenge our current notion of ABE metabolic network structure. Thus, clostridial ABE fermentation still poses theoretical as well as experimental challenges which are best approached in close collaboration between modellers and experimentalists.

Indexed as

Metabolic Networks and PathwaysModels, Theoretical1-ButanolAcetic AcidAcetoneBatch Cell Culture TechniquesButyric AcidClostridium acetobutylicumComputer SimulationEthanolFermentationHydrogen-Ion ConcentrationLactic AcidSolvents1-ButanolAcetic AcidAcetoneButyric AcidEthanolLactic AcidSolventsBatch and continuous cultureClostridial ABE fermentationMathematical modellingpH-induced metabolic shiftStructural and dynamical models

Identifiers

PMID28210797
PMCPMC5320022

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Registered trials

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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.