M.T. Allaart
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7 records found
1
Syngas fermentation has gained momentum over the last decades. The cost-efficient design of industrial-scale bioprocesses is highly dependent on quantitative microbial growth data. Kinetic and stoichiometric models for syngas-converting microbes exist, but accurate experimental validation of the derived parameters is lacking. Here, we describe a novel experimental approach for measuring substrate uptake kinetics of gas-fermenting microbes using the model microorganism Clostridium autoethanogenum. One-hour disturbances of a steady-state chemostat bioreactor with increased CO partial pressures (up to 1.2 bar) allowed for measurement of biomass-specific CO uptake- and CO2 production rates ((Formula presented.), (Formula presented.)) using off-gas analysis. At a pCO of 1.2 bar, a (Formula presented.) of −119 ± 1 mmol g−1X h−1 was measured. This value is 1.8–3.5-fold higher than previously reported experimental and kinetic modeling results for syngas fermenters. Analysis of the catabolic flux distribution reveals a metabolic shift towards ethanol production at the expense of acetate at pCO (Formula presented.) 0.6 atm, likely to be mediated by acetate availability and cellular redox state. We characterized this metabolic shift as acetogenic overflow metabolism. These results provide key mechanistic understanding of the factors steering the product spectrum of CO fermentation in C. autoethanogenum and emphasize the importance of dedicated experimental validation of kinetic parameters.
Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-023-43682-x, published online 13 October 2023 The original version of this Article contained errors in the Discussion section, where reference 34 was incorrectly cited as reference 25. Consequently, “Spirito et al.25 also observed a decreased conversion rate when feeding a chain-elongating reactor microbiome with mainly ethanol. This could explain why previous studies with shorter incubation times reported no metabolic activity in the absence of acetate25,35. The mechanism that underlies this change in rate remains elusive. Spirito et al.25 proposed a thermodynamic constraint on the rate due to increased hydrogen partial pressures, but in our experiments pH2 was low due to continuous sparging and we still observed low rates.” now reads: “Spirito et al.34 also observed a decreased conversion rate when feeding a chain-elongating reactor microbiome with mainly ethanol. This could explain why previous studies with shorter incubation times reported no metabolic activity in the absence of acetate34,35. The mechanism that underlies this change in rate remains elusive. Spirito et al.34 proposed a thermodynamic constraint on the rate due to increased hydrogen partial pressures, but in our experiments pH2 was low due to continuous sparging and we still observed low rates.” The original Article has been corrected.
NovoLign
Metaproteomics by sequence alignment
Hexanoate is a valuable chemical that can be produced by microorganisms that convert short-chain- to medium-chain carboxylic acids through a process called chain elongation. These microorganisms usually produce mixtures of butyrate and hexanoate from ethanol and acetate, but direct conversion of ethanol to hexanoate is theoretically possible. Steering microbial communities to ethanol-only elongation to hexanoate circumvents the need for acetate addition and simplifies product separation. The biological feasibility of ethanol elongation to hexanoate was validated in batch bioreactor experiments with a Clostridium kluyveri-dominated enrichment culture incubated with ethanol, acetate and butyrate in different ratios. Frequent liquid sampling combined with high-resolution off-gas measurements allowed to monitor metabolic behavior. In experiments with an initial ethanol-to-acetate ratio of 6:1, acetate depletion occurred after ± 35 h of fermentation, which triggered a metabolic shift to direct conversion of ethanol to hexanoate despite the availability of butyrate (± 40 mCmol L−1). When only ethanol and no external electron acceptor was supplied, stable ethanol to hexanoate conversion could be maintained until 60–90 mCmol L−1 of hexanoate was produced. After this, transient production of either acetate and butyrate or butyrate and hexanoate was observed, requiring a putative reversal of the Rnf complex. This was not observed before acetate depletion or in presence of low concentrations (40–60 mCmol L−1) of butyrate, suggesting a stabilizing or regulatory role of butyrate or butyrate-related catabolic intermediates. This study sheds light on previously unknown versatility of chain elongating microbes and provides new avenues for optimizing (waste) bioconversion for hexanoate production.
Poison to Products
On harnessing the power of microorganisms to convert waste streams into new chemicals
But.. we can also give nature a hand by simplifying the problem. The diversity and complexity of waste streams can be reduced by using gasification, where the waste is combusted at a high temperature with small amounts of oxygen. This yields syngas, a mixture consisting of mainly carbon monoxide, carbon dioxide and hydrogen gas. Syngas can be converted chemically into i.e. ethanol, but the success of this process highly depends on the ratios of CO, CO2 and H2 and the absence of impurities in the gas. Microorganisms can deal with much more variability, making them a promising biocatalyst for the conversion of syngas to chemical building blocks. Yet, we have to understand the microorganisms to be able to work together with them in combatting climate change. The work in this thesis is aimed at increasing our understanding of two specific types of microorganisms that can help us to turn waste into new chemicals: syngas fermenting bacteria and chain elongating bacteria. Together, they can form a team that turns a C1 molecule (carbon monoxide) all the way into a C6 molecule (hexanoate). To make the team as effective as possible, we studied both team members in detail. The syngas fermenting bacterium we studied goes by the name Clostridium autoethanogenum, and is already being used at industrial scale by the company LanzaTech. For its chain-elongating counterpart, however, we used a mixed community of microorganisms that was specifically selected to perform chain elongation. We used this mixed community because the single, optimal partner for C. autoethanogenum has yet to be found.
It has been established previously, by other researchers, that producing a lot of hexanoate is easiest when you feed chain elongating organisms a substrate with a high ethanol-to-acetate ratio. C. autoethanogenum naturally produces ethanol and acetate, but usually in a low ethanol-to-acetate ratio. In Chapter 2 we use a theoretical framework based on thermodynamics, as well as data from literature to understand what triggers C. autoethanogenum to make ethanol. We found that acetate conversion into ethanol is a stress response used to deal with a (too) high load of CO, which can be classified as overflow metabolism. We show that this behavior not only takes place when feeding CO alone, but also in the presence of both CO and H2, underlining its relevance in syngas fermentation processes. The stress response can be induced by tuning the operational parameters of the bioreactor, such as the CO supply rate or the growth rate.
In Chapter 3 we quantify this effect in the laboratory ourselves. We use a steady-state culture of C. autoethanogenum in a chemostat bioreactor and repeatedly disturb it for periods of one hour with increasing amounts of CO in the inlet gas, up to a CO partial pressure of 1.2 atm. We see that ethanol production increases with increasing CO partial pressures, and at a pCO of 0.6 atm or higher external acetate is even consumed to sustain higher ethanol production rates. This proves that the product spectrum of syngas fermentation can be directed by changing the operational conditions. Furthemore, the experimental method that we used allowed for the identification of the CO uptake rate at each CO partial pressure, directly via the off-gas measurements. We observed biomass-specific CO uptake rates of up to –119 ± 1 mmol·gx−1·h−1, which is much higher than has previously been reported for this organism. The biomass-specific uptake rate is instrumental for obtaining an accurate mathematical description (or: kinetic model) of this microorganism, which in turn allows for more accurate bioprocess design.
Chapter 4 focusses on the chain-elongating counterpart of our syngas fermenter. C. autoethanogenum prefers to grow at a pH of 5 –5.5, and most chain elongators that have been described in literature rather grow at neutral pH (± 7.0). This chapter revolves around this discrepancy. By using enrichment cultures in a sequencing batch bioreactor, we select for chain elongating microorganisms both at pH 7.0 and pH 5.5. In doing so, we establish that chain elongators can live at pH 5.5 and that a very comparable microbial community (on genus-level) develops at both pH. However, the behavior in the bioreactors was not the same. At lower pH, a significantly smaller fraction of the supplied ethanol was converted to hexanoate. Instead, more of the C4 molecule butyrate was produced, likely because it is less toxic to the microorganisms than hexanoate. This means that pH is an important parameter to control the product spectrum of chain elongation and that establishing an effective microbial team for C1-to-C6 conversion likely requires more than finding microbes with the same preferred pH.
In Chapter 5 we delve into the biochemistry of chain elongating microbes. They are known to be very flexible in their metabolism, and they can deal with a wide range of ethanol-to-acetate ratios. Theoretically, this ratio could even be infinite (i.e. feeding only ethanol), which would lead to the production of only hexanoate and no butyrate. We call this ethanol-only chain elongation. This is interesting from a fundamental as well as a process design perspective. Therefore, we test whether it is also possible in practice by using well-monitored batch experiments in bioreactors. We use different initial conditions: only ethanol, ethanol and a small amount of acetate and ethanol and a small amount of butyrate. We observe in the bioreactors that ethanol-only chain elongation is possible, but that it proceeds very slowly. Beside that, the microorganisms prefer the presence of either acetate or butyrate so much that they eventually start producing these compounds from ethanol themselves when they are not available. This behavior has never been observed before, nor was it regarded as possible.
In Chapter 6 we present a dataset of well-controlled bioreactor experiments in 9 different initial conditions, including the experiments described in the previous chapter. This dataset can be used to refine the current mathematical description of chain-elongating microbes. We describe the initial analysis of this dataset and how we assure its quality and usability for kinetic modelling using data reconciliation. With this reconciled dataset we test the accuracy of the currently available kinetic model. From this overall analysis we set out the next steps for the formulation of a more accurate kinetic model of chain elongating microbes in the future.
Chapter 7 recapitulates the significant findings from this thesis, but more importantly provides a list of questions that still remain to be answered. These questions are grouped around three different themes to provide some structure: the inner world of microorganisms, the interactions between (communities of different) microorganisms and the design of efficient (new) bioprocesses for a more sustainable world. To conclude, I reflect on the societal role of a scientist.
...
But.. we can also give nature a hand by simplifying the problem. The diversity and complexity of waste streams can be reduced by using gasification, where the waste is combusted at a high temperature with small amounts of oxygen. This yields syngas, a mixture consisting of mainly carbon monoxide, carbon dioxide and hydrogen gas. Syngas can be converted chemically into i.e. ethanol, but the success of this process highly depends on the ratios of CO, CO2 and H2 and the absence of impurities in the gas. Microorganisms can deal with much more variability, making them a promising biocatalyst for the conversion of syngas to chemical building blocks. Yet, we have to understand the microorganisms to be able to work together with them in combatting climate change. The work in this thesis is aimed at increasing our understanding of two specific types of microorganisms that can help us to turn waste into new chemicals: syngas fermenting bacteria and chain elongating bacteria. Together, they can form a team that turns a C1 molecule (carbon monoxide) all the way into a C6 molecule (hexanoate). To make the team as effective as possible, we studied both team members in detail. The syngas fermenting bacterium we studied goes by the name Clostridium autoethanogenum, and is already being used at industrial scale by the company LanzaTech. For its chain-elongating counterpart, however, we used a mixed community of microorganisms that was specifically selected to perform chain elongation. We used this mixed community because the single, optimal partner for C. autoethanogenum has yet to be found.
It has been established previously, by other researchers, that producing a lot of hexanoate is easiest when you feed chain elongating organisms a substrate with a high ethanol-to-acetate ratio. C. autoethanogenum naturally produces ethanol and acetate, but usually in a low ethanol-to-acetate ratio. In Chapter 2 we use a theoretical framework based on thermodynamics, as well as data from literature to understand what triggers C. autoethanogenum to make ethanol. We found that acetate conversion into ethanol is a stress response used to deal with a (too) high load of CO, which can be classified as overflow metabolism. We show that this behavior not only takes place when feeding CO alone, but also in the presence of both CO and H2, underlining its relevance in syngas fermentation processes. The stress response can be induced by tuning the operational parameters of the bioreactor, such as the CO supply rate or the growth rate.
In Chapter 3 we quantify this effect in the laboratory ourselves. We use a steady-state culture of C. autoethanogenum in a chemostat bioreactor and repeatedly disturb it for periods of one hour with increasing amounts of CO in the inlet gas, up to a CO partial pressure of 1.2 atm. We see that ethanol production increases with increasing CO partial pressures, and at a pCO of 0.6 atm or higher external acetate is even consumed to sustain higher ethanol production rates. This proves that the product spectrum of syngas fermentation can be directed by changing the operational conditions. Furthemore, the experimental method that we used allowed for the identification of the CO uptake rate at each CO partial pressure, directly via the off-gas measurements. We observed biomass-specific CO uptake rates of up to –119 ± 1 mmol·gx−1·h−1, which is much higher than has previously been reported for this organism. The biomass-specific uptake rate is instrumental for obtaining an accurate mathematical description (or: kinetic model) of this microorganism, which in turn allows for more accurate bioprocess design.
Chapter 4 focusses on the chain-elongating counterpart of our syngas fermenter. C. autoethanogenum prefers to grow at a pH of 5 –5.5, and most chain elongators that have been described in literature rather grow at neutral pH (± 7.0). This chapter revolves around this discrepancy. By using enrichment cultures in a sequencing batch bioreactor, we select for chain elongating microorganisms both at pH 7.0 and pH 5.5. In doing so, we establish that chain elongators can live at pH 5.5 and that a very comparable microbial community (on genus-level) develops at both pH. However, the behavior in the bioreactors was not the same. At lower pH, a significantly smaller fraction of the supplied ethanol was converted to hexanoate. Instead, more of the C4 molecule butyrate was produced, likely because it is less toxic to the microorganisms than hexanoate. This means that pH is an important parameter to control the product spectrum of chain elongation and that establishing an effective microbial team for C1-to-C6 conversion likely requires more than finding microbes with the same preferred pH.
In Chapter 5 we delve into the biochemistry of chain elongating microbes. They are known to be very flexible in their metabolism, and they can deal with a wide range of ethanol-to-acetate ratios. Theoretically, this ratio could even be infinite (i.e. feeding only ethanol), which would lead to the production of only hexanoate and no butyrate. We call this ethanol-only chain elongation. This is interesting from a fundamental as well as a process design perspective. Therefore, we test whether it is also possible in practice by using well-monitored batch experiments in bioreactors. We use different initial conditions: only ethanol, ethanol and a small amount of acetate and ethanol and a small amount of butyrate. We observe in the bioreactors that ethanol-only chain elongation is possible, but that it proceeds very slowly. Beside that, the microorganisms prefer the presence of either acetate or butyrate so much that they eventually start producing these compounds from ethanol themselves when they are not available. This behavior has never been observed before, nor was it regarded as possible.
In Chapter 6 we present a dataset of well-controlled bioreactor experiments in 9 different initial conditions, including the experiments described in the previous chapter. This dataset can be used to refine the current mathematical description of chain-elongating microbes. We describe the initial analysis of this dataset and how we assure its quality and usability for kinetic modelling using data reconciliation. With this reconciled dataset we test the accuracy of the currently available kinetic model. From this overall analysis we set out the next steps for the formulation of a more accurate kinetic model of chain elongating microbes in the future.
Chapter 7 recapitulates the significant findings from this thesis, but more importantly provides a list of questions that still remain to be answered. These questions are grouped around three different themes to provide some structure: the inner world of microorganisms, the interactions between (communities of different) microorganisms and the design of efficient (new) bioprocesses for a more sustainable world. To conclude, I reflect on the societal role of a scientist.
Overflow metabolism at the thermodynamic limit of life
How carboxydotrophic acetogens mitigate carbon monoxide toxicity
Carboxydotrophic metabolism is gaining interest due to its applications in gas fermentation technology, enabling the conversion of carbon monoxide to fuels and commodities. Acetogenic carboxydotrophs play a central role in current gas fermentation processes. In contrast to other energy-rich microbial substrates, CO is highly toxic, which makes it a challenging substrate to utilize. Instantaneous scavenging of CO upon entering the cell is required to mitigate its toxicity. Experiments conducted with Clostridium autoethanogenum at different biomass-specific growth rates show that elevated ethanol production occurs at increasing growth rates. The increased allocation of electrons towards ethanol at higher growth rates strongly suggests that C. autoethanogenum employs a form of overflow metabolism to cope with high dissolved CO concentrations. We argue that this overflow branch enables acetogens to efficiently use CO at highly variable substrate influxes by increasing the conversion rate almost instantaneously when required to remove toxic substrate and promote growth. In this perspective, we will address the case study of C. autoethanogenum grown solely on CO and syngas mixtures to assess how it employs acetate reduction to ethanol as a form of overflow metabolism.
Anaerobic microbial communities can produce carboxylic acids of medium chain length (e.g., caproate, caprylate) by elongating short chain fatty acids through reversed β-oxidation. Ethanol is a common electron donor for this process. The influence of environmental conditions on the stoichiometry and kinetics of ethanol-based chain elongation remains elusive. Here, a sequencing batch bioreactor setup with high-resolution off-gas measurements was used to identify the physiological characteristics of chain elongating microbial communities enriched on acetate and ethanol at pH 7.0 ± 0.2 and 5.5 ± 0.2. Operation at both pH-values led to the development of communities that were highly enriched (>50%, based on 16S rRNA gene amplicon sequencing) in Clostridium kluyveri related species. At both pH-values, stably performing cultures were characterized by incomplete substrate conversion and decreasing biomass-specific hydrogen production rates during an operational cycle. The process stoichiometries obtained at both pH-values were different: at pH 7.0, 71 ± 6% of the consumed electrons were converted to caproate, compared to only 30 ± 5% at pH 5.5. Operating at pH 5.5 led to a decrease in the biomass yield, but a significant increase in the biomass-specific substrate uptake rate, suggesting that the organisms employ catabolic overcapacity to deal with energy losses associated to product inhibition. These results highlight that chain elongating conversions rely on a delicate balance between substrate uptake- and product inhibition kinetics.