ABSTRACT
BACKGROUND: Electro-fermentation (EF) is an emerging tool for bioprocess intensification. Benefits are especially expected for bioprocesses in which the cells are enabled to exchange electrons with electrode surfaces directly. It has also been demonstrated that the use of electrical energy in BES can increase bioprocess performance by indirect secondary effects. In this case, the electricity is used to alter process parameters and indirectly activate desired pathways. In many bioprocesses, oxidation-reduction potential (ORP) is a crucial process parameter. While C. pasteurianum fermentation of glycerol has been shown to be significantly influenced electrochemically, the underlying mechanisms are not clear. To this end, we developed a system for the electrochemical control of ORP in continuous culture to quantitatively study the effects of ORP alteration on C. pasteurianum by metabolic flux analysis (MFA), targeted metabolomics, sensitivity and regulation analysis. RESULTS: In the ORP range of -462 mV to -250 mV, the developed algorithm enabled a stable anodic electrochemical control of ORP at desired set-points and a fixed dilution rate of 0.1 h-1. An overall increase of 57% in the molar yield for 1,3-propanediol was observed by an ORP increase from -462 to -250 mV. MFA suggests that C. pasteurianum possesses and uses cellular energy generation mechanisms in addition to substrate-level phosphorylation. The sensitivity analysis showed that ORP exerted its strongest impact on the reaction of pyruvate-ferredoxin-oxidoreductase. The regulation analysis revealed that this influence is mainly of a direct nature. Hence, the observed metabolic shifts are primarily caused by direct inhibition of the enzyme upon electrochemical production of oxygen. A similar effect was observed for the enzyme pyruvate-formate-lyase at elevated ORP levels. CONCLUSIONS: The results show that electrochemical ORP alteration is a suitable tool to steer the metabolism of C. pasteurianum and increase product yield for 1,3-propanediol in continuous culture. The approach might also be useful for application with further anaerobic or anoxic bioprocesses. However, to maximize the technique's efficiency, it is essential to understand the chemistry behind the ORP change and how the microbial system responds to it by transmitted or direct effects.
Subject(s)
Clostridium , Glycerol , Clostridium/metabolism , Fermentation , Glycerol/metabolism , Oxidation-Reduction , Pyruvates/metabolismABSTRACT
Autotrophic or mixotrophic use of one-carbon (C1) compounds is gaining importance for sustainable bioproduction. In an effort to integrate the reductive glycine pathway (rGP) as a highly promising pathway for the assimilation of CO2 and formate, genes coding for glycine synthase system from Gottschalkia acidurici were successfully introduced into Clostridium pasteurianum, a non-model host microorganism with industrial interests. The mutant harboring glycine synthase exhibited assimilation of exogenous formate and reduced CO2 formation. Further metabolic data clearly showed large impacts of expression of glycine synthase on the product metabolism of C. pasteurianum. In particular, 2-oxobutyrate (2-OB) was observed for the first time as a metabolic intermediate of C. pasteurianum and its secretion was solely triggered by the expression of glycine synthase. The perturbation of C1 metabolism is discussed regarding its interactions with pathways of the central metabolism, acidogenesis, solventogenesis, and amino acid metabolism. The secretion of 2-OB is considered as a consequence of metabolic and redox instabilities due to the activity of glycine synthase and may represent a common metabolic response of Clostridia in enhanced use of C1 compounds.
Subject(s)
Aminomethyltransferase/biosynthesis , Bacterial Proteins/biosynthesis , Clostridium/enzymology , Formates/pharmacology , Enzyme Induction/drug effectsABSTRACT
Recent advances in biosynthesis using one-carbon (C1) compounds (e.g., CO2 and syngas) have led to first process examples of industrial demonstration for producing C1-based chemicals. In these processes, several bottlenecks such as mass-transfer limitations of substrates, limited supply of energy (ATP), and reducing equivalents and thus low cell growth and product formation rate are observed that severely hinder their technical application. As an alternative approach, C1-mixotrophy is proposed which involves co-utilization of C1 and organic substrates as complementing heterotrophic and autotrophic biosynthesis. Bulk and fine chemicals are reported to be efficiently synthetized in such a way. In this chapter, examples of C1-mixotrophy are presented and discussed to demonstrate their potential and perks. In acetogenic mixotrophy, the reductive acetyl-CoA pathway is harnessed as C1 fixation module by using native acetogens as cellular machineries. The highly adapted and efficient carbon fixation is enhanced by co-supply of reducing equivalents and energy from organic substrate. Alternatively, methanol as a highly reduced C1 compound provides carbon building blocks and reducing equivalents in methylotrophic mixotrophy, which is feasible for native and synthetic methylotrophs, broadening the range of applicable hosts. Another possibility is to make use of the anaplerotic reactions of C1 fixation naturally existing in heterotrophs. Re-wiring of carbon metabolism can lead to forced C1 fixation into the final products, thereby overcoming the inherent limitation of achievable product yield of heterotrophs. In a short to middle term, using native or synthetic pathways of C1 fixation module in a mixotrophy represents a promising and practicable bioprocess strategy. To this end, more quantitative and systematic studies regarding intracellular interactions of C1-fixation and catabolic modules are needed. Possible catabolite repression or other interfering native regulatory mechanisms in mixotrophy should be better studied. Stepwise engineering of established production strains is a necessary effort to raise the industrial relevance of C1-based biosynthesis.
Subject(s)
Carbon Dioxide , Carbon , Autotrophic Processes , Carbon Dioxide/metabolismABSTRACT
A novel approach of phenotype analysis of fermentation-based bioprocesses based on unsupervised learning (clustering) is presented. As a prior identification of phenotypes and conditional interrelations is desired to control fermentation performance, an automated learning method to output reference phenotypes (defined as vector of biomass-specific rates) was developed and the necessary computing process and parameters were assessed. For its demonstration, time series data of 90 Clostridium pasteurianum cultivations were used which feature a broad spectrum of solventogenic and acidogenic phenotypes, while 14 clusters of phenotypic manifestations were identified. The analysis of reference phenotypes showed distinct differences, where potential conditionalities were exemplary isolated. Further, cluster-based balancing of carbon and ATP or the use of reference phenotypes as indicator for bioprocess monitoring were demonstrated to highlight the perks of this approach. Overall, such analysis depends strongly on the quality of the data and experimental validations will be required before conclusions. However, the automated, streamlined and abstracted approach diminishes the need of individual evaluation of all noisy dataset and showed promising results, which could be transferred to strains with comparably wide-ranging phenotypic manifestations or as indicators for repeated bioprocesses with clearly defined target.
ABSTRACT
In this contribution, we studied the effect of electro-fermentation on the butanol production of Clostridium pasteurianum strains by a targeted metabolomics approach. Two strains were examined: an electrocompetent wild type strain (R525) and a mutant strain (dhaB mutant) lacking formation of 1,3-propanediol (PDO). The dhaB-negative strain was able to grow on glycerol without formation of PDO, but displayed a high initial intracellular NADH/NAD ratio which was lowered subsequently by upregulation of the butanol production pathway. Both strains showed a 3-5 fold increase of the intracellular NADH/NAD ratio when exposed to cathodic current in a bioelectrochemical system (BES). This drove an activation of the butanol pathway and resulted in a higher molar butanol to PDO ratio for the R525 strain. Nonetheless, macroscopic electron balances suggest that no significant amount of electrons derived from the BES was harvested by the cells. Overall, this work points out that electro-fermentation can be used to trigger metabolic pathways and improve product formation, even when the used microbe cannot be considered electroactive. Accordingly, further studies are required to unveil the underlying (regulatory) mechanisms.
ABSTRACT
Glycine is an essential one-carbon (C1) metabolite nested in a complex network of cellular metabolism. Glycine and its related metabolic pathways have important biochemical and biomedical implications and have thus been studied for a long time. However, quantitative and systems level knowledge about the interactions and regulations of the pathways are severely limited, especially for the purpose of reengineering the relevant pathways for C1-based biotechnological processes using synthetic biology and metabolic engineering approaches. In fact, quantitative analytic methods are missing for some of the key players of the glycine-related pathways, prominently the glycine cleavage system and folate cycle, particularly for intracellular processes under physiological conditions. Here, we pinpoint the existing gaps and highlight the need and challenges for future development.
Subject(s)
Glycine , Synthetic Biology , Carbon , Glycine/metabolism , Metabolic Engineering , Metabolic Networks and PathwaysABSTRACT
Clostridium pasteurianum produces industrially valuable chemicals such as n-butanol and 1,3-propanediol from fermentations of glycerol and glucose. Metabolic engineering for increased yields of selective compounds is not well established in this microorganism. In order to study carbon fluxes and to selectively increase butanol yields, we integrated the latest advances in genome editing to obtain an electrocompetent Clostridium pasteurianum strain for further engineering. Deletion of the glycerol dehydratase large subunit (dhaB) using an adapted S. pyogenes Type II CRISPR/Cas9 nickase system resulted in a 1,3-propanediol-deficient mutant producing butanol as the main product. Surprisingly, the mutant was able to grow on glycerol as the sole carbon source. In spite of reduced growth, butanol yields were highly increased. Metabolic flux analysis revealed an important role of the newly identified electron bifurcation pathway for crotonyl-CoA to butyryl-CoA conversion in the regulation of redox balance. Compared to the parental strain, the electron bifurcation pathway flux of the dhaB mutant increased from 8 to 46% of the overall flux from crotonyl-CoA to butyryl-CoA and butanol, indicating a new, 1,3-propanediol-independent pattern of glycerol fermentation in Clostridium pasteurianum.
ABSTRACT
For efficient production of recombinant proteins by mammalian cells in a bioreactor, optimal growth rates are required and represent the most important process parameter. We present the first successful attempt to monitor the growth behavior and cell cycle state of a mammalian production relevant cell line under bioreactor cultivation conditions up to 1.2 l, utilizing a fluorescent read-out without the need of additional staining or marking. For this purpose, we developed two new production relevant cell line derivatives (CHO-K1 FUCCI CM & CHO-K1 FUCCI CN) and corresponding analytical methods. The approach is easily scalable, applicable to mammalian recombinant protein production cell lines, and it allows for real-time monitoring using appropriate fluorescence probes. It is based on the Ubiquitination-based Cell Cycle Indicator (FUCCI) system developed by Miyawaki et al. CHO-K1 was chosen as a model cell line due to its close relationship to several production cell lines.1 We defined a new process parameter ired , a quantitative and numerically robust representation of the cell cycle distribution, and demonstrate it to be linearly correlated with the cell cycle state and inversely related to the real time growth rate. Detection of growth rate limitations is possible earlier than using cell-count-based approaches. Analytics were compatible with bulk fluorescence methods, using a plate reader as well as a flow cytometer. For future real time applications in industry scale bioreactors we recommend the use of on-line or at-line fluorescence probes. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:1408-1417, 2017.