Skip to main content
microLife logoLink to microLife
. 2023 Dec 11;5:uqad046. doi: 10.1093/femsml/uqad046

A native phosphoglycolate salvage pathway of the synthetic autotrophic yeast Komagataella phaffii

Michael Baumschabl 1,2, Bernd M Mitic 3,4, Christina Troyer 5, Stephan Hann 6,7, Özge Ata 8,9,, Diethard Mattanovich 10,11
PMCID: PMC10791038  PMID: 38234447

Abstract

Synthetic autotrophs can serve as chassis strains for bioproduction from CO2 as a feedstock to take measures against the climate crisis. Integration of the Calvin–Benson–Bassham (CBB) cycle into the methylotrophic yeast Komagataella phaffii (Pichia pastoris) enabled it to use CO2 as the sole carbon source. The key enzyme in this cycle is ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) catalyzing the carboxylation step. However, this enzyme is error prone to perform an oxygenation reaction leading to the production of toxic 2-phosphoglycolate. Native autotrophs have evolved different recycling pathways for 2-phosphoglycolate. However, for synthetic autotrophs, no information is available for the existence of such pathways. Deletion of CYB2 in the autotrophic K. phaffii strain led to the accumulation of glycolate, an intermediate in phosphoglycolate salvage pathways, suggesting that such a pathway is enabled by native K. phaffii enzymes. 13C tracer analysis with labeled glycolate indicated that the yeast pathway recycling phosphoglycolate is similar to the plant salvage pathway. This orthogonal yeast pathway may serve as a sensor for RuBisCO oxygenation, and as an engineering target to boost autotrophic growth rates in K. phaffii.

Keywords: autotrophic, calvin cycle, CO2, capture, phosphoglycolate, synthetic, yeast


A native phosphoglycolate salvage pathway was characterized in a synthetic autotrophic K. phaffii strain showing the robustness of the yeast's metabolism in responding to a synthetic pathway and its side reactions.

Introduction

The Calvin–Benson–Bassham (CBB) cycle is responsible for the vast majority of carbon fixed on our planet. The key enzyme and rate limiting step of this cycle is ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO), which catalyzes the carbon dioxide fixation to ribulose-1,5-bisphosphate. With an average turn over number of around 3 s−1 RuBisCO is a very slow enzyme. Plants therefore produce huge amounts of this protein, with a RuBisCO content of around 30% to 50% of soluble protein (Feller et al. 2008). In addition, RuBisCO gets easily inhibited by a range of other sugar phosphates. These inhibitors can be released by the action of specific RuBisCO activases (Parry et al. 2008, Hauser et al. 2015).

Another aspect which reduces the efficiency of the RuBisCO protein is the fact that it also reacts with oxygen instead of CO2 which reduces the carbon fixation rate. The rate of this unfavorable oxygenation reaction varies between different types of RuBisCO. In general, the RuBisCO protein family can be subdivided into 4 types where type I and II are the predominant forms in organisms performing the CBB cycle. Type II proteins have often higher turnover numbers compared to type I proteins but lack their higher specificity to CO2 leading to an inverse correlation between the specificity and the turnover rate (Tcherkez et al. 2006).

Even though various organisms harboring the CBB cycle perform carbon concentrating mechanisms to improve their carbon capture efficiency (Keeley and Rundel 2003, Raven et al. 2008, Yeates et al. 2008, Cameron et al. 2013, Wang et al. 2015), the oxygenation reaction is always present to some degree. Oxygenation of ribulose 1,5-bisphosphate produces one molecule 3-phosphoglycerate (3-PG) and one molecule 2-phosphoglycolate. 2-phosphoglycolate is reported to be toxic in plants because it can inhibit at least two key enzymes of the central carbon metabolism, triose phosphate isomerase and phosphofructokinase (Hall et al. 1987, Flügel et al. 2017). Therefore, different types of organisms have evolved different pathways for recycling 2- phosphoglycolate (Fig. 1). In plants, most algae and cyanobacteria this is called the C2 cycle (Fig. 1, red line). It begins with the dephosphorylation of 2-phosphogycolate, followed by the oxidation into glyoxylate. Glyoxylate is then transaminated to glycine using either serine or glutamate as an amino group donor. Two molecules of glycine are then converted to serine in the mitochondria, releasing ammonia and carbon dioxide. The serine is then transported back to the peroxisomes, where it donates its amino group to another glyoxylate molecule. The deamination product, hydroxypyruvate, is then transported to the cytosol and reduced to glycerate. Finally, glycerate is phosphorylated to 3-phosphoglycerate, which allows it to re-enter the CBB cycle (Bauwe et al. 2010). The C2 cycle in plants consumes 3.5 ATP and 2 NADH equivalents and releases 0.5 molecules of CO2 per RuBisCO oxygenation (Walker et al. 2016). In cyanobacteria two different pathways responsible for the salvage of 2-phosphoglycolate have been identified besides the C2 cycle. In one of these pathways, the glycerate pathway, 2 molecules of glyoxylate are converted to tartronate semialdehyde, further reduced to glycerate and phosphorylated ending up in 3-PG avoiding the release of ammonia compared to the C2 cycle (Fig. 1, violet line). The other pathway catalyzes the complete oxidation of 2-phosphoglycolate to CO2 via oxalate and formate in combination with harvesting of energy in the form of NADH (Fig. 1, yellow line) (Eisenhut et al. 2006, 2008). In the chemolithotrophic bacterium Cupriavidus necator the glycerate pathway is the main contributor to the recycling of 2-phosphoglycolate but another pathway was identified, the malate cycle which fully oxidizes glycolate to CO2 (Fig. 1, blue line) (Claassens et al. 2020) while harvesting energy in the form of 2 molecules NADH per glycolate oxidation.

Figure 1.

Figure 1.

Overview of different phosphoglycolate salvage pathways: C2 cycle in red, glycerate pathway in purple, oxalyl CoA pathway in yellow and the malate cycle in blue. CBB: Calvin–Benson–Bassham cycle, 2-PG: 2-phosphoglycerate, 3-PG: 3-phosphoglycerate, Rib-1,5-bisphosphate: ribulose-1,5-bisphosphate, CoA: coenzyme A, PEP: phosphoenolpyruvate, OxAc: oxaloacetate.

All organisms which naturally perform the CBB cycle perform at least one of the possible routes for recycling of 2-phosphoglycolate. Lately the CBB cycle was successfully integrated in the two model organisms Escherichia coli (Gleizer et al. 2019) and Komagataella phaffii (Gassler et al. 2020). In both approaches no specific pathway for the phosphoglycolate recycling was integrated. Cells were able to grow efficiently with CO2 as sole carbon source leading to the assumption that the strains came up with a phosphoglycolate salvage pathway based on native enzymes. Here we characterize this native phosphoglycolate salvage pathway in the synthetic autotrophic K. phaffii strain and show the robustness of yeast's metabolism in responding to a synthetic pathway and its side reactions.

Results

Are synthetic autotrophs sensitive to oxygen?

In our previous paper, we showed that a synthetic autotrophic K. phaffii strain was able to grow on CO2 as sole carbon source and methanol as energy source. This was achieved by blocking methanol assimilation via the xylulose-5-phosphate cycle as well as by the integration of six genes of the CBB cycle (Gassler et al. 2020). The key enzyme of the integrated CBB cycle is the RuBisCO enzyme which fixes the carbon dioxide to ribulose-1,5-bisphosphate, but also catalyzes the reaction with oxygen which reduces the efficiency of the CBB cycle for growth on CO2. Therefore, we wanted to evaluate the effect of the oxygen concentration on growth rate of this strain. Bioreactor cultivations with oxygen concentrations in the inlet gas between 2.5% and 20% were performed and growth and dissolved oxygen were monitored.

Different inlet oxygen concentrations resulted in a difference in the growth profile (Fig. 2A). The two lower oxygen concentrations of 5% and 10% resulted in faster growth compared to the higher oxygen levels in the inlet gas. The lowest oxygen concentration of 2.5% resulted in slightly lower growth compared to 5 and 10%. A similar picture was observed in an engineered version (Gassler et al. 2022) of this strain which enables it to reach faster autotrophic growth. Here the only difference in terms of oxygen sensitivity was a slightly increased oxygen demand of this strain (Supplementary Figure 1A), with an optimum oxygen concentration around 15%.

Figure 2.

Figure 2.

Bioreactor cultivations using different oxygen levels in the inlet air to test their influence on growth. (A) Diamonds: offline OD600 measurements and solid line online OD probe to monitor growth, (B) calculated growth rates and (C) dissolved oxygen concentrations of 5 different fermentations using oxygen concentrations in the inlet air from 2.5% to 20% v/v. Cultivations were performed at 30°C with a constant stirrer speed of 300 rpm and a CO2 concentration in the inlet air of 5%.

Many organisms performing the CBB cycle have come up with carbon concentrating mechanisms to locally increase CO2 concentration to reduce the rate of oxygenation. If these mechanisms are lacking in the synthetic autotrophic K. phaffii, how does it cope with the oxygenation reaction? While reducing the oxygen concentration improved the growth rate of the synthetic autotrophic yeast, it can also grow efficiently at ambient oxygen levels. This suggests that this synthetic autotroph is able to perform all reactions necessary to recycle 2-phosphoglycolate.

A single gene deletion blocks phosphoglycolate salvage

Recently, we engineered this synthetic autotrophic K. phaffii for lactic acid production from CO2. To prevent the lactic acid consumption, we deleted CYB2 encoding for an L-lactate cytochrome-c oxidoreductase which oxidizes lactate to pyruvate in the mitochondrial intermembrane space. Besides decreasing lactic acid reassimilation as intended, this knockout strain secreted glycolate into the medium under autotrophic conditions (Baumschabl et al. 2022). As shown in Fig. 1, glycolate is one the intermediate metabolites in the phosphoglycolate salvage pathways, therefore these results prompted us to hypothesize that there is a pathway responsible for the recycling of the formed phosphoglycolate where the oxidoreductase Cyb2 is involved.

To identify the possible route of 2-phosphoglycolate salvage formed by the oxygenation reaction of RuBisCO, we designed 13C tracer experiments with fully 13C labeled glycolate. Prior to the 13C tracer experiment, in order to make sure that glycolate can be metabolized by the cells and is suitable as a tracer metabolite, the synthetic autotrophic yeast strain and variants of this strain overexpressing CYB2 under the control of a medium or weak promoter were cultivated using glycolate as the only carbon source. None of the tested strains were able to grow on glycolate (Fig. 3A), but all strains could assimilate it. When CYB2 was overexpressed, a higher assimilation rate was observed (Fig. 3B). These results confirmed that glycolate is assimilated in the metabolism and 13C from glycolate will therefore be incorporated demonstrating that glycolate can be used as a tracer metabolite for the 13C-labeling experiments.

Figure 3.

Figure 3.

Cultivations using glycolate as sole carbon source to demonstrate that glycolate can be metabolized by K. phaffii and is suitable for further 13C tracer experiments (A) Growth and (B) glycolate concentrations in the supernatant of the synthetic autotrophic K. phaffii strain (parental strain) and CYB2 overexpression strains using weak or medium strength promoters. Cultivations were performed at 30°C and ambient CO2 concentrations in the atmosphere. Solid lines indicate the mean and shades the standard deviation of three biological replicates.

Identification of the native phosphoglycolate salvage pathway

Glycolate can be efficiently assimilated by the autotrophic K. phaffii strain which is a prerequisite for its use as a tracer metabolite to further investigate the route of phosphoglycolate salvage. Therefore, three different strains, the parental autotrophic strain, a CYB2 knockout strain and the CYB2 overexpression strain using the medium strength promoter, were cultivated on fully labeled 13C glycolate for 48 hours. Samples were taken after 3, 24, and 48 hours for the determination of the isotopologue distribution of various intracellular metabolites using GC-TOFMS. If a metabolite was involved in the phosphoglycolate salvage pathway, it would show a decrease in the “M0” isotopologue (12C only) (blue bars in Fig. 4) and an increase in the higher mass isotopologues, showing that 13C from labeled glycolate is incorporated into the respective metabolite. Metabolites with the highest 13C content are supposed to be located at the start of a pathway. When interpreting the labeling data, it had to be considered that all strains produce 12C glycolate via oxygenation of ribulose 1,5-bisphosphate catalyzed by the expressed RuBisCO, which can reduce the incorporation of 13C atoms.

Figure 4.

Figure 4.

Carbon isotopologue distribution of intracellular metabolites resulting from tracer experiments using fully labeled 13C glycolate as carbon source to reveal the phosphoglycolate salvage pathway in the synthetic autotroph K. phaffii strain. Results of (A) parental strain, (B) CYB2medium overexpression strain and (C) CYB2 deletion strain. M0 to M5 corresponds to the number of 13C atoms present in the metabolite. The numbers in the blue bars indicate the isotopologue fraction of the M0 isotopologue of the respective sample. The number of biological replicates of the natC samples is indicated by ‘n=’ in the bars; 2 biological replicates were performed for all 13C labeled samples. Error bars represent the standard deviation. Serine BB denotes the amino acids backbone fragment including only the C1 and C2 carbon atom of serine. Serine DC denotes the decarboxylated molecule with the C1 carbon atom being cleaved off. For the parental strain all three, for the overexpression strain the first two and for the deletion strain the last two time points were measured. Data of the missing bars could not be evaluated as they did not match the quality criteria. (D) Phosphoglycolate salvage pathway in the synthetic autotrophic K. phaffii strain. Red arrows indicate the proposed pathway based on the measured metabolites’ carbon isotopologue distribution. Abbreviations: PEP: phosphoenolpyruvate, 2-PG: 2-phosphoglycerate, 3-PG: 3-phosphoglycerate, R5P: ribose 5-phosphate, Ru1,5BP: ribulose 1,5-bisphosphate, CBB: Calvin–Benson–Bassham cycle, M-THF: methylene tetrahydrofolate, TCA: tricarboxylic acid cycle, CoA: coenzyme A.

In the parental strain pronounced incorporation of 13C atoms into serine and glycine was observed already after 3 hours (Fig. 4A), indicating that most of the glycolate is recycled via glycine and not oxidized in the malate cycle. The 13C content of both metabolites increased until the end of cultivation. Neither pyruvate nor hydroxypyruvate could be analyzed with the applied GC-TOFMS method, hence the metabolic step following serine had to be deduced from labeling patterns of adjacent metabolites. Significant incorporation of 13C into PEP, 2-PG, 3-PG and glycerate was observed but to a lower extent compared to serine and glycine. Ribose 5-phosphate showed only a small fraction of 13C labeled isotopologues. Metabolites related to the TCA cycle such as malate and fumarate showed a similar labeling degree as the phosphorylated hydroxycarboxylic acids. Since malate and aspartate showed similar labeling patterns, the labeling pattern of both metabolites probably originates from oxaloacetate and not from the malate cycle. Two additional fragments of serine were evaluated: the backbone fragment (BB) corresponding to the amino acid backbone of serine containing the C1 and C2 carbon atom only and the decarboxylated fragment (DC) which corresponds to the decarboxylated serine molecule containing the C2 and C3 carbon atom. The two fragments showed significantly different labeling patterns. BB had a much higher fraction of the fully labeled isotopologue M2 compared to DC which showed a high fraction of M1, i.e. one labeled carbon atom. This finding indicates that especially at the beginning of the cultivation the methylene group of M-THF, which is used for the synthesis of serine from glycine, had a high 12C content. At later stages of the cultivation, the fraction of the M2 isotopologue of the DC fragment increased indicating that labeled glycine is used for M-THF synthesis.

In the strain overexpressing CYB2 the labeling pattern of the metabolites was similar but in general a higher incorporation of 13C into the metabolites was observed (Fig. 4B). Already after 3 hours of cultivation on 13C glycolate, glycine and serine were nearly fully labeled. The 13C content was reduced at the next sampling time point (24 h), because nearly all 13C glycolate was consumed and more 12C glycolate produced from RuBisCO was present (Fig. S2). In 2-PG a higher incorporation of 13C was observed compared to 3-PG as well as glycerate, which showed similar labeling patterns. Again ribose 5-phosphate, the CBB intermediate evaluated here, showed only a small fraction of 13C labeled isotopologues. In addition, high 13C contents can be found in the TCA metabolites malate and fumarate as well as in aspartate and glutamate, deriving from oxaloacetate.

In contrast to the other two strains, the strain harboring the deletion of CYB2 resulted in only minor incorporation of 13C into glycine and serine (Fig. 4C). All other analyzed metabolites did not show any significant incorporation of 13C-labeled carbon. As glycine and serine are weakly labeled in this strain, we hypothesized an alternative gene to CYB2 catalyzing the same reaction to be present. One candidate gene was DLD1 which shows similarities to C. necator glycerate dehydrogenase being responsible for the oxidation of glycolate to glyoxylate. However, an overexpression of this gene did not result in any significant glycolate consumption (Fig. S3).

The tracer experiments confirmed that CYB2 plays a major role in the recycling of 2-phosphoglycolate produced by the oxygenation reaction of RuBisCO. Cyb2 is annotated as an L-(+)-lactate-cytochrome c oxidoreductase. Given the structural similarity of L-lactate and glycolate, the results can be interpreted such that Cyb2 also oxidizes glycolate to glyoxylate, taking over the role of glycolate oxidase and transferring the electrons to cytochrome c (Cunane et al. 2002). To evaluate if the natural activity of Cyb2 could lead to a bottleneck in phosphoglycolate recycling and therefore may limit the autotrophic growth rates, we cultivated CYB2 overexpression strains using a medium and weak promoter under autotrophic conditions. We included also a cytosolic version of this protein to test if cytosolic location helps to boost the growth rate. None of the tested constructs could increase growth under autotrophic conditions showing the native expression levels of CYB2 is sufficient for the cells to recycle the produced glycolate (Fig. 5). Deletion of the mitochondrial signal induced more stress and reduced growth rate even more in the cytosolic version of CYB2.

Figure 5.

Figure 5.

Cultivation of the CYB2 overexpression strains compared to their parental strain to test whether the natural expression level of CYB2 is a bottleneck for autotrophic growth. Cultivations were performed at 30°C and 5% CO2 concentrations in the atmosphere. Solid lines indicate the means, shades the standard deviation of the biological replicates.

The CYB2 deletion strain can serve as RuBisCO oxygenation test platform

Deletion of CYB2 abolished the conversion of glycolate into glycine and serine and instead led to secretion of glycolate. We hypothesized that cyb2Δ K. phaffii strains with an intact CBB cycle could be used as RuBisCO oxygenation biosensor strains where the levels of glycolate secretion per biomass (glycolate/DCW) would correlate with the levels of oxygenation reaction of the chosen RuBisCO enzymes. Four different RuBisCO proteins were tested in the autotrophic CYB2 deletion strain and growth as well as glycolate production were monitored (Fig. 6). The type II RuBisCO proteins of T. denitrificans and Hydrogenovibrio marinus resulted in fastest growth and similar glycolate production. The RuBisCO protein of Gallionella sp. could only barely facilitate growth on CO2 in our synthetic autotrophic strain. In addition, only small amounts of glycolate were produced. Switching to the type I RuBisCO of C. necator, which was tested together with the co-expression of its corresponding RuBisCO activase CBBX resulted in the lowest glycolate production per biomass (Fig. 6B). C. necator RuBisCO led, however, to a lower growth rate than the best performing RuBisCO variants. The lower specific glycolate production supports the concept that the cyb2Δ strain can serve as an indicator for the specificity of each RuBisCO (Table 1). Here, it should be noted that a higher specificity does not necessarily reflect a more efficient growth on CO2, but rather a lower sensitivity of the CBB cycle to oxygen.

Figure 6.

Figure 6.

Testing the capabilities of the deletion of CYB2 as oxygenation biosensor. Autotrophic K. phaffii strains using 4 different RuBisCO proteins, and a pho13Δ variant strain of the T. denitrificans RuBisCO strain were tested for (A) growth and (B) the ratio of glycolate to dry cell weight at the last time point. Cultivations were performed at 30°C and 5% CO2 in the atmosphere. Solid lines indicate the means, and shades (for A) and error bars (for B) the standard deviation of 3 biological replicates. The gycolate/biomass yield of Gallionella sp. RuBisCO might be interpreted carefully as the respective K. phaffii strain has a severe growth impairment on CO2.

Table 1.

Overview of kinetic parameters of the RuBisCO proteins used in this study (measured using in vitro assays). KM: Michaelis Menten constant for CO2. kcat: turnover number for CO2. Sc/o: CO2: O2 specificity factor.

Species Oligomer KM [µM] kcat [s−1] SC/O Ref
Thiobacillus. denitrificans cbbM L2 256 3.5 14 (Hernandez et al. 1996)
Gallionella sp. L2 276 22.2 10 (Davidi et al. 2020)
Hydrogenovibrio marinus L2 162 15.6 20 (Davidi et al. 2020)
Cupriavidus necator cbbL/S L8S8 34 2.5 85 (Satagopan and Tabita 2016)

Also, a PHO13 knockout strain was included in this series of experiments. This gene was the best BLAST hit of K. phaffii genes against Arabidopsis thaliana PGLP1, a 2-phosphoglycolate phosphatase. The deletion of this potential phosphoglycolate phosphatase resulted in a reduced growth rate compared to its parental strain. Glycolate production was also reduced, but both were not completely abolished, indicating that more than one phosphatase is acting on 2-phosphoglycolate in K. phaffii.

Material and methods

Strain generation

The host strain used in this study was the synthetic autotroph K. phaffii strain published by Gassler et al. (Gassler et al. 2020). The assembly of all DNA repair templates and over-expression cassettes were done using the Golden PiCS cloning system (Prielhofer et al. 2017) and transformed using the CRISPR-Cas9 system (Gassler et al. 2019). Switching of the RuBisCO protein was done by deleting first the RuBisCO protein of the parental strain followed by the integration of the new RuBisCO protein. Successfully transformed clones were verified by colony PCR. All strains used in this work are given in Table 2.

Table 2.

Overview of the strains used in this study.

Name Genotype Reference
Parental strain CBS7435 aox1Δ::pAOX1_TDH3 + pFDH1_PRK + pALD4_PGK1 das1Δ::pDAS1_RuBisCO + pPDC1_groEL + pRPP1B_groES das2Δ::pDAS2_TLK1 + pRPS2_TPI1 (Gassler et al. 2020)
Eng strain Parent (PRK 5 C > G) (Gassler et al. 2022)
cyb2Δ Parent + cyb2Δ This work
CYB2medium Parent + pMDH3 CYB2 This work
CYB2weak Parent + pPDC1 CYB2 This work
T. den pho13Δ Parent + cyb2Δ + pho13Δ This work
Gallionella sp. Parent RuBisCO (T denitrificans):: RuBisCO (Gallionella sp.) This work
Parent RuBisCO (T denitrificans):: RuBisCO (H. marinus) This work
Parent RuBisCOΔ + pDAS1 CbbL + pFDH1 CbbS + pALD4 CbbX This work
CYB2(cyt)medium Parent + pMDH3 CYB2(del1_117) This work
CYB2(cyt)weak Parent + pPDC1 CYB2(del1_117) This work
cyb2Δ DLD1medium cyb2Δ + pMDH3 DLD1 This work
cyb2Δ DLD1weak cyb2Δ + pLAT1 DLD1 This work

Shake flask cultivations

All strains were tested using shake flask cultures. As a first step a preculture on YPG (yeast extract 10 g L−1, soy peptone 20 g L−1, glycerol 20 g L−1) was performed overnight at 30°C and 180 rpm. Afterwards optical density was measured at 600 nm and the number of cells needed to inoculate the main culture (OD of 1, 4 or 20, respectively) was harvested, washed twice with water and resuspended in phosphate buffered Yeast Nitrogen Base Without Amino Acids (YNB) (3.4 g L−1, pH 6, 10 g L−1 (NH4)2SO4 as nitrogen source and 0.5% (vol/vol) methanol at the beginning as energy source). For the experiments using glycolate as carbon source additionally 0.5 g L−1 (for the pre-tests) or 1 g L−1 glycolic acid were added. All experiments using glycolate as carbon source were incubated at 30°C, 180 rpm and ambient CO2 concentrations. All experiments where cells were grown autotrophically were incubated at 30°C, 180 rpm, and 5% CO2 in the atmosphere. For all experiments, methanol concentrations were measured on the next day and adjusted to 1%. Afterwards samples were taken regularly and optical density, methanol and glycolic acid concentrations were measured. Water was added to correct the culture volume for evaporation.

HPLC measurements

HPLC measurements to determine methanol and glycolic acid concentrations, were done according to an already published workflow (Baumschabl et al. 2022).

Dry cell weight determination

Glass vials were incubated at 105°C for at least 24 hours, cooled down in the desiccator and weighed. Ten mL of culture were harvested by centrifugation, washed twice with water, transferred into the pre-weighed glass vials and incubated at 105°C until the cells were fully dried. After cooling down in the desiccator, the glass vials including the dried cells were weighed again and the dry cell weight was calculated.

Labeling experiments

To determine the route of the phosphoglycolate salvage pathway, 13C labeling experiments were performed. The protocol was similar to the other shake flask cultivations using a starting OD of 20 but fully 13C labeled glycolic acid was used (Merck product no. 604011) for all 13C cultures and unlabeled glycolic acid with a natural isotopologe distribution for all natC cultures. Samples were taken at 2, 24, and 48 hours: 500 µL for the determination of optical density, the remaining glycolic acid as well as methanol concentration, and 3 mL for metabolic sampling & GC-TOFMS isotopologue analysis.

Metabolic sampling & GC-TOFMS isotopologue analysis

The metabolomics workflow was performed as described by Mitic et al. (2023) based on the method of Mairinger et al. 2015.

In brief, the cell suspension was rapidly quenched in a 4-fold volume of 60% methanol, 125 mmol L−1 TRIS-HCl, 55 mmol L−1 NaCl at pH 8.2 and –27°C (Mattanovich et al. 2017) and filtered through a cellulose acetate filter after vortexing the mixture for 4 s. After washing the cells on the filter with 60% methanol, the filters were stored at –70°C. The consecutive boiling ethanol extraction was performed with 4 mL 75% ethanol at 85°C. After centrifugation the supernatants with the extracted metabolites were evaporated until complete dryness with a vacuum centrifuge before reconstitution in 1 mL H2O.

For the GC-TOFMS measurements, two methods were applied to cover all needed metabolites in the linear range of the instrument. Automated just-in-time derivatization prior to sample injection was employed to stabilize metabolites and reduce their boiling point. Ethoximation followed by trimethylsilylation was combined with splitless injection and chemical ionization for the analysis of the phosphorylated metabolites and sugar compounds as well as other intracellular metabolites of low abundance (Mairinger et al. 2015). Tert-butylsilylation was combined with 1:50 split injection and electron ionization for the analysis of organic acids and amino acids, a method which offers some positional information due to specific fragmentation patterns of the amino acids (Zamboni et al. 2009). The methods used for specific metabolites and samples are listed in Supplementary information Table S1.

For the evaluation of 13C incorporation into the metabolites isotopologue distribution analysis was conducted. The extracted ion chromatograms of all carbon isotopologues of a target analyte were integrated (evaluated mass/charge ratios listed in (Mitic et al. 2023)). The peak areas were corrected with the software ICT correction toolbox v.0.04 for the contribution of other heavy isotopes except 13C, as well as the contribution of the natural 13C abundance of the derivatization agent. The carbon isotopologue fractions were calculated as follows:

graphic file with name TM0001.gif (1)

n = number of carbon atoms in the metabolite, Ai = ICT corrected peak area of isotopologue i, i.e. an isotopologue containing i numbers of 13C atoms

For some metabolites such as the amino acids multiple fragments and/or adducts of both measurement methods display the carbon distribution. For data evaluation, the fragment or adduct was chosen based on the trueness of the natC control sample of the respective sequence (chosen method/fragment/adduct listed in Supplementary information Table S1). As the labeling experiments were conducted in biological duplicates, the displayed error bars stem from the standard deviation of duplicates multiplied with the correction factor 1.253314 to compensate for the small sample size (Roesslein et al. 2007). For the natC control samples average and standard deviation of all data are displayed.

Bioreactor cultivations

Bioreactor cultivations were performed using 1.0 L DASGIP reactors (Eppendorf). Fermentations were performed using YNB with 10 g L−1 (NH4)2SO4 as the nitrogen source, buffered at pH 6 using 100 mmol L−1 phosphate buffer, 0.5% (vol/vol) methanol at the beginning as energy source, at 30°C and constant stirrer speed of 300 rpm. Different oxygen concentrations of 5, 10, 15 and 20%, respectively in the inlet gas flow were used to vary the available amount of oxygen, and CO2 concentrations were kept constant at 5%.

From an overnight YPG preculture the amount of cells to inoculate 500 mL of culture with an OD of 1 were harvested, washed twice with water and transferred into the bioreactors. The first sample was taken on the next day and methanol concentrations were adjusted to 1% (vol/vol). Afterwards samples were taken daily, and optical density and the methanol concentrations were measured. Every other day the methanol concentrations were adjusted to 1% (vol/vol).

Discussion

Previously we were able to engineer the methylotrophic yeast K. phaffii to use CO2 as its sole carbon source by the integration of the CBB cycle. The carbon fixation step in this cycle is catalyzed by the RuBisCO enzyme. This enzyme also tends to perform the oxygenation reaction resulting in a loss of carbon fixation efficiency. In this study we characterized our synthetic autotrophic strains in terms of oxygen tolerance and tried to identify the pathway used for phosphoglycolate regeneration in this yeast strain.

Varying the oxygen concentration in the inlet air showed a significant influence on the growth rate of the autotrophic yeast strains, indicating an optimum dissolved oxygen concentration of around 15% (Fig. 2C and Supplementary Figure 1C). Reducing the oxygen levels helped the cells to grow faster, probably because of a reduction in the oxygenation reaction of RuBisCO. However, at least 5% oxygen in the inlet air are needed for efficient growth. Otherwise not enough oxygen is available for sufficient methanol oxidation providing energy for the cells, resulting in reduced growth rates as seen for the cultivations at 2.5% oxygen (Fig. 2). In the faster growing engineered version of this strain the optimal oxygen concentration is increased, probably due to the faster accumulation of biomass and therefore higher energy demand of the cells. A similar effect of a reduction of the oxygen concentration is also reported in microalgae (Kazbar et al. 2019), whereas in contrast most plants do not grow better under reduced oxygen conditions (Tisserat et al. 2002).

To get a deeper understanding of the pathways used to recycle the 2-phosphoglycolate produced via the oxygenation reaction of RuBisCO, a 13C tracer experiment using fully labeled glycolate was performed. The metabolites which showed early incorporation of 13C atoms were glycine and serine. This indicates that most of the phosphoglycolate is recycled and not fully oxidized to CO2. The further flux of the label is probably via deamination of serine to pyruvate, which is the branch point where the label enters the TCA cycle. Evaluation of the labeled metabolites led to the conclusion that glycolate is metabolized through pyruvate—PEP–2-PG and 3-PG, the latter reentering the CBB cycle (Fig. 4D). The CYB2 overexpression strain showed a significantly higher incorporation of label into 2-PG compared to 3-PG and glycerate supporting the proposed route and dismissing the route present in plants via serine-hydroxypyruvate and glycerate. CYB2 also serves as the major responsible gene for the oxidation of glycolate to glyoxylate, as the deletion of it blocked the phosphoglycolate recycling pathway almost completely and led to the secretion of glycolate, while in the native and overexpression strains no glycolate was secreted. These results indicate that native CYB2 expression is already sufficient to enable a phosphoglycolate salvage pathway rate allowing efficient growth under autotrophic conditions.

As the deletion of CYB2 leads to higher glycolate secretion, we tested whether a cyb2Δ strain can be used as a sensor strain for the oxygenation rate. We overexpressed different RuBisCO proteins and calculated the glycolate/biomass yield as an indicator for the specificity of RuBisCO for CO2 over oxygen. As expected, the choice of RuBisCO is a key factor for efficient autotrophic growth in the synthetic autotrophic K. phaffii. In general, the type II RuBisCO proteins led to faster growth compared to the type I protein tested. Only the type II protein from a Gallionella sp., for which the highest turnover number so far was reported (Davidi et al. 2020), was not able to facilitate growth on CO2 in our synthetic autotrophic strain. Since the strain using this RuBisCO protein barely grows, the resulting glycolate production has to be taken with a grain of salt. Overall, the oxygenation test platform clearly revealed the difference of specificity between type I and II RuBisCO proteins. Both type II proteins enabling growth on CO2 resulted in an approximately 5 times higher glycolate production compared to the type I protein tested. This fits well to specificity data measured using in vitro assays (Table 1). Testing different RuBisCO proteins with varying oxygen concentrations might give more information about the robustness of the biosensor strain as well as the relationship between specificity and glycolate yield.

Similar to plants the recycling of 2-phosphoglycolate in the synthetic autotrophic K. phaffii releases 0.5 mol of previously captured carbon in the form of CO2 and additionally 0.5 mol ammonia per mol 2-phosphoglycolate. Both lead to a loss of invested energy. In addition, at least one molecule of ATP is needed during the recycling process in the step from pyruvate to PEP. However, the route via pyruvate and PEP is slightly more energy efficient compared to the hydroxypyruvate route since only one ATP contrary to one NADH has to be invested. In plants, the introduction of the glycerate pathway (Kebeish et al. 2007) or the malate cycle (Maier et al. 2012, South et al. 2019) into chloroplasts could improve the crop yields, making these pathways interesting engineering targets to improve the growth rate of the synthetic autotrophic K. phaffii.

With this work we could prove that balancing the available amount of oxygen can help to improve growth of the synthetic autotrophic K. phaffii. We were also able to solve the open question of how synthetic autotrophs can deal with the by-product of the oxygenation reaction and show how versatile a cell's metabolism can be in responding to newly formed substances and their toxic effects, such as 2-phosphoglycolate from the RuBisCO side reaction. As a next step, other more efficient glycolate salvage pathways like the glycerate pathway could be integrated into our strains to evaluate if they can further improve autotrophic growth rates.

Supplementary Material

uqad046_Supplemental_File

Acknowledgements

We want to thank Lisa Lutz for her great help performing some of the experiments.

Contributor Information

Michael Baumschabl, Austrian Centre of Industrial Biotechnology, Vienna 1190, Austria; Department of Biotechnology, Institute of Microbiology and Microbial Biotechnology, University of Natural Resources and Life Sciences, Vienna 1190, Austria.

Bernd M Mitic, Department of Biotechnology, Institute of Microbiology and Microbial Biotechnology, University of Natural Resources and Life Sciences, Vienna 1190, Austria; University of Natural Resources and Life Sciences, Vienna, Department of Chemistry, Institute of Analytical Chemistry, Vienna 1190, Austria.

Christina Troyer, University of Natural Resources and Life Sciences, Vienna, Department of Chemistry, Institute of Analytical Chemistry, Vienna 1190, Austria.

Stephan Hann, Austrian Centre of Industrial Biotechnology, Vienna 1190, Austria; University of Natural Resources and Life Sciences, Vienna, Department of Chemistry, Institute of Analytical Chemistry, Vienna 1190, Austria.

Özge Ata, Austrian Centre of Industrial Biotechnology, Vienna 1190, Austria; Department of Biotechnology, Institute of Microbiology and Microbial Biotechnology, University of Natural Resources and Life Sciences, Vienna 1190, Austria.

Diethard Mattanovich, Austrian Centre of Industrial Biotechnology, Vienna 1190, Austria; Department of Biotechnology, Institute of Microbiology and Microbial Biotechnology, University of Natural Resources and Life Sciences, Vienna 1190, Austria.

Author contributions

ÖA, CT, SH, and DM designed research; MB and BMM performed research; MB, ÖA, BMM, CT, and SH analyzed data; and MB, ÖA, and DM wrote the paper.

Conflict of interest

None declared.

Funding

This work was supported by the Federal Ministry for Digital and Economic Affairs, the Federal Ministry for Climate Action, Environment, Energy Mobility, Innovation and Technology, the Styrian Business Promotion Agency SFG, the Standortagentur Tirol, the Government of Lower Austria and ZIT—Technology Agency of the City of Vienna through the COMET Funding Program managed by the Austrian Research Promotion Agency (FFG). We thank the Austrian Science Fund (FWF) for support to DM, SH, MB, and BMM (FWF W1224, Doctoral Program on Biomolecular Technology of Proteins (BioToP)), as well as support to ÖA (FWF M2891). ÖA and DM were additionally supported by the VIVALDI project which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101000441. This project was supported by EQ-BOKU VIBT GmbH and the BOKU Core Facility Mass Spectrometry.

References

  1. Baumschabl  M, Ata  O, Mitic  BM  et al.  Conversion of CO2 into organic acids by engineered autotrophic yeast. Proc Natl Acad Sci USA. 2022;119:e2211827119. 10.1073/pnas.2211827119/. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Bauwe  H, Hagemann  M, Fernie  AR. Photorespiration: players, partners and origin. Trends Plant Sci. 2010;15:330–6. 10.1016/j.tplants.2010.03.006. [DOI] [PubMed] [Google Scholar]
  3. Cameron  JC, Wilson  SC, Bernstein  SL  et al.  XBiogenesis of a bacterial organelle: the carboxysome assembly pathway. Cell. 2013;155:1131. 10.1016/j.cell.2013.10.044. [DOI] [PubMed] [Google Scholar]
  4. Claassens  NJ, Scarinci  G, Fischer  A  et al.  Phosphoglycolate salvage in a chemolithoautotroph using the Calvin cycle. Proc Natl Acad Sci. 2020;117:22452–61. 10.1073/pnas.2012288117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Cunane  LM, Barton  JD, Chen  ZW  et al.  Crystallographic study of the recombinant flavin-binding domain of baker's yeast flavocytochrome b2: comparison with the intact wild-type enzyme. Biochemistry. 2002;41:4264–72. 10.1021/bi0119870. [DOI] [PubMed] [Google Scholar]
  6. Davidi  D, Shamshoum  M, Guo  Z  et al.  Highly active rubiscos discovered by systematic interrogation of natural sequence diversity. EMBO J. 2020;39:e104081. 10.15252/embj.2019104081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Eisenhut  M, Kahlon  S, Hasse  D  et al.  The plant-like C2 glycolate cycle and the bacterial-like glycerate pathway cooperate in phosphoglycolate metabolism in cyanobacteria. Plant Physiol. 2006;142:333–42. 10.1104/pp.106.082982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Eisenhut  M, Ruth  W, Haimovich  M  et al.  The photorespiratory glycolate metabolism is essential for cyanobacteria and might have been conveyed endosymbiontically to plants. Proc Natl Acad Sci. 2008;105:17199–204. 10.1073/pnas.0807043105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Feller  U, Anders  I, Mae  T. Rubiscolytics: fate of Rubisco after its enzymatic function in a cell is terminated. J Exp Bot. 2008;59:1615–24. 10.1093/jxb/erm242. [DOI] [PubMed] [Google Scholar]
  10. Flügel  F, Timm  S, Arrivault  S  et al.  The photorespiratory metabolite 2-phosphoglycolate regulates photosynthesis and starch accumulation in Arabidopsis. Plant Cell. 2017;29:2537–51. 10.1105/tpc.17.00256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Gassler  T, Baumschabl  M, Sallaberger  J  et al.  Adaptive laboratory evolution and reverse engineering enhances autotrophic growth in Pichia pastoris. Metab Eng. 2022;69:112–21. 10.1016/j.ymben.2021.11.007. [DOI] [PubMed] [Google Scholar]
  12. Gassler  T, Heistinger  L, Mattanovich  D  et al.  CRISPR/Cas9-mediated homology-directed genome editing in Pichia pastoris. Methods Mol Biol. 2019;1923:211–25. 10.1007/978-1-4939-9024-5_9. [DOI] [PubMed] [Google Scholar]
  13. Gassler  T, Sauer  M, Gasser  B  et al.  The industrial yeast Pichia pastoris is converted from a heterotroph into an autotroph capable of growth on CO2. Nat Biotechnol. 2020;38:210–6. 10.1038/s41587-019-0363-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Gleizer  S, Ben-Nissan  R, Bar-On  YM  et al.  Conversion of Escherichia coli to Generate All Biomass Carbon from CO2. Cell. 2019;179:1255–63. e12. 10.1016/j.cell.2019.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Hall  NP, Kendall  AC, Lea  PJ  et al.  Characteristics of a photorespiratory mutant of barley (Hordeum vulgare L.) deficient in phosphogly collate phosphatase. Photosynth Res. 1987;11:89–96. 10.1007/BF00117676. [DOI] [PubMed] [Google Scholar]
  16. Hauser  T, Popilka  L, Hartl  FU  et al.  Role of auxiliary proteins in Rubisco biogenesis and function. Nat Plants. 2015;1:15065. 10.1038/nplants.2015.65. [DOI] [PubMed] [Google Scholar]
  17. Hernandez  JM, Baker  SH, Lorbach  SC  et al.  Deduced amino acid sequence, functional expression, and unique enzymatic properties of the form I and form II ribulose bisphosphate carboxylase/oxygenase from the chemoautotrophic bacterium Thiobacillus denitrificans. J Bacteriol. 1996;178:347–56. 10.1128/jb.178.2.347-356.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Kazbar  A, Cogne  G, Urbain  B  et al.  Effect of dissolved oxygen concentration on microalgal culture in photobioreactors. Algal Research. 2019;39:101432. 10.1016/j.algal.2019.101432. [DOI] [Google Scholar]
  19. Kebeish  R, Niessen  M, Thiruveedhi  K  et al.  Chloroplastic photorespiratory bypass increases photosynthesis and biomass production in Arabidopsis thaliana. Nat Biotechnol. 2007;25:593–9. 10.1038/nbt1299. [DOI] [PubMed] [Google Scholar]
  20. Keeley  JE, Rundel  PW. Evolution of cam and C4 carbon-concentrating mechanisms. Int J Plant Sci. 2003;164:S55–77. 10.1086/374192. [DOI] [Google Scholar]
  21. Maier  A, Fahnenstich  H, von Caemmerer  S  et al.  Transgenic introduction of a glycolate oxidative cycle into A. thaliana chloroplasts leads to growth improvement. Front Plant Sci. 2012;3:38. 10.3389/fpls.2012.00038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Mairinger  T, Steiger  M, Nocon  J  et al.  Gas chromatography-quadrupole time-of-flight mass spectrometry-based determination of isotopologue and tandem mass isotopomer fractions of primary metabolites for 13C-metabolic flux analysis. Anal Chem. 2015;87:11792–802. 10.1021/acs.analchem.5b03173. [DOI] [PubMed] [Google Scholar]
  23. Mattanovich  M, Russmayer  H, Scharl-Hirsch  T  et al.  Metabolomics of Pichia pastoris: impact of buffering conditions on the kinetics and nature of metabolite loss during quenching. FEMS Yeast Res. 2017;17:fox016. 10.1093/femsyr/fox016. [DOI] [PubMed] [Google Scholar]
  24. Mitic  BM, Troyer  C, Lutz  L  et al.  The oxygen-tolerant reductive glycine pathway assimilates methanol, formate and CO2 in the yeast Komagataella phaffii. Nat Commun. 2023; 14: 7754. 10.1038/s41467-023-43610-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Parry  MAJ, Keys  AJ, Madgwick  PJ  et al.  Rubisco regulation: a role for inhibitors. J Exp Bot. 2008;59:1569–80. 10.1093/jxb/ern084. [DOI] [PubMed] [Google Scholar]
  26. Prielhofer  R, Barrero  JJ, Steuer  S  et al.  GoldenPiCS: a Golden Gate-derived modular cloning system for applied synthetic biology in the yeast Pichia pastoris. BMC Syst Biol. 2017;11:123. 10.1186/s12918-017-0492-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Raven  JA, Cockell  CS, De  L  et al.  The evolution of inorganic carbon concentrating mechanisms in photosynthesis. Philosoph Transact Royal Soc B: Biolog Sci. 2008;363:2641–50. 10.1098/rstb.2008.0020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Roesslein  M, Wolf  M, Wampfler  B  et al.  A forgotten fact about the standard deviation. Accredit Qual Assur. 2007;12:495–6. 10.1007/s00769-007-0285-2. [DOI] [Google Scholar]
  29. Satagopan  S, Tabita  FR. RubisCO selection using the vigorously aerobic and metabolically versatile bacterium Ralstonia eutropha. FEBS J. 2016;283:2869–80. 10.1111/febs.13774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. South  PF, Cavanagh  AP, Liu  HW  et al.  Synthetic glycolate metabolism pathways stimulate crop growth and productivity in the field. Science. 2019;363:eaat9077. 10.1126/science.aat9077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Tcherkez  GGB, Farquhar  GD, Andrews  TJ. Despite slow catalysis and confused substrate specificity, all ribulose bisphosphate carboxylases may be nearly perfectly optimized. Proc Natl Acad Sci. 2006;103:7246–51. 10.1073/pnas.0600605103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Tisserat  B, Vaughn  S, Silman  R. Influence of modified oxygen and carbon dioxide atmospheres on mint and thyme plant growth, morphogenesis and secondary metabolism in vitro. Plant Cell Rep. 2002;20:912–6. 10.1007/s00299-001-0428-6. [DOI] [Google Scholar]
  33. Walker  BJ, Vanloocke  A, Bernacchi  CJ  et al.  The costs of photorespiration to food production now and in the future. Annu Rev Plant Biol. 2016;67:107–29. 10.1146/annurev-arplant-043015-111709. [DOI] [PubMed] [Google Scholar]
  34. Wang  Y, Stessman  DJ, Spalding  MH. The CO2 concentrating mechanism and photosynthetic carbon assimilation in limiting CO2: how Chlamydomonas works against the gradient. Plant J. 2015;82:429–48. 10.1111/tpj.12829. [DOI] [PubMed] [Google Scholar]
  35. Yeates  TO, Kerfeld  CA, Heinhorst  S  et al.  Protein-based organelles in bacteria: carboxysomes and related microcompartments. Nat Rev Microbiol. 2008;6:681–91. 10.1038/nrmicro1913. [DOI] [PubMed] [Google Scholar]
  36. Zamboni  N, Fendt  SM, Rühl  M  et al.  13C-based metabolic flux analysis. Nat Protoc. 2009;4:878–92. 10.1038/nprot.2009.58. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

uqad046_Supplemental_File

Articles from microLife are provided here courtesy of Oxford University Press

RESOURCES