Skip to main content
Download PDF

Expressing the Thermoanaerobacterium saccharolyticum pforA in engineered Clostridium thermocellum improves ethanol production

Biotechnology for Biofuels volume 11, Article number: 242 (2018) Cite this article

Abstract

Background

Clostridium thermocellum has been the subject of multiple metabolic engineering strategies to improve its ability to ferment cellulose to ethanol, with varying degrees of success. For ethanol production in C. thermocellum, the conversion of pyruvate to acetyl-CoA is catalyzed primarily by the pyruvate ferredoxin oxidoreductase (PFOR) pathway. Thermoanaerobacterium saccharolyticum, which was previously engineered to produce ethanol of high yield (> 80%) and titer (70 g/L), also uses a pyruvate ferredoxin oxidoreductase, pforA, for ethanol production.

Results

Here, we introduced the T. saccharolyticum pforA and ferredoxin into C. thermocellum. The introduction of pforA resulted in significant improvements to ethanol yield and titer in C. thermocellum grown on 50 g/L of cellobiose, but only when four other T. saccharolyticum genes (adhA, nfnA, nfnB, and adhEG544D) were also present. T. saccharolyticum ferredoxin did not have any observable impact on ethanol production. The improvement to ethanol production was sustained even when all annotated native C. thermocellum pfor genes were deleted. On high cellulose concentrations, the maximum ethanol titer achieved by this engineered C. thermocellum strain from 100 g/L Avicel was 25 g/L, compared to 22 g/L for the reference strain, LL1319 (adhA(Tsc)-nfnAB(Tsc)-adhEG544D (Tsc)) under similar conditions. In addition, we also observed that deletion of the C. thermocellum pfor4 results in a significant decrease in isobutanol production.

Conclusions

Here, we demonstrate that the pforA gene can improve ethanol production in C. thermocellum as part of the T. saccharolyticum pyruvate-to-ethanol pathway. In our previous strain, high-yield (~ 75% of theoretical) ethanol production could be achieved with at most 20 g/L substrate. In this strain, high-yield ethanol production can be achieved up to 50 g/L substrate. Furthermore, the introduction of pforA increased the maximum titer by 14%.

Background

Clostridium thermocellum is a promising candidate organism for the consolidated bioprocessing (CBP) of lignocellulosic biomass into biofuels, such as ethanol [1]. Metabolic engineering of C. thermocellum has improved ethanol yields and titers; however, further improvements are needed for commercial viability [1,2,3]. The metabolic engineering strategies pursued in C. thermocellum have encompassed restricting native metabolism toward ethanol production, as well as heterologous expression of ethanol production pathways in C. thermocellum; the improvements to ethanol yield and titer of these various approaches have been previously summarized [4].

Recently, four proteins from a strain of Thermoanaerobacterium saccharolyticum engineered for high levels of ethanol production (strain M1442, Herring et al. [5])—namely, an NADPH-dependent alcohol dehydrogenase (AdhA), the NADH-dependent reduced ferredoxin:NADP+ oxidoreductase complex (NfnAB), and a mutant bifunctional alcohol dehydrogenase (AdhEG544D)—were introduced into wild-type C. thermocellum, to improve ethanol yield, titer, and production rate [4]. However, the maximum ethanol titer achieved by this engineered C. thermocellum strain (LL1319) was only 15 g/L, which is far short of the 70 g/L ethanol titer that engineered T. saccharolyticum (strain M1442) is capable of producing [5].

In both C. thermocellum and T. saccharolyticum, the oxidative decarboxylation of pyruvate to acetyl-CoA is primarily catalyzed by a pyruvate ferredoxin oxidoreductase (PFOR) enzyme or enzyme complex [6,7,8,9]. In C. thermocellum, there are five candidates (Table 1) [10]; of these, the pfors encoded by the genes Clo1313_0020-0023 and Clo1313_1353-1356 were reported to be cumulatively responsible for approximately 80% of the PFOR activity [10]. However, it is not known which of these five pfors is important for ethanol production. In addition, prior to this work, all strains of C. thermocellum that had been engineered to produce ethanol with the pfor pathway have relied on the native pfors; among these strains, the maximum ethanol titers observed were around 25 g/L, suggesting therefore that the native pfors may not be capable of supporting ethanol production beyond that titer. By comparison in T. saccharolyticum, there are six genes annotated as putative pfors, and deletion studies have shown that the pforA gene (Tsac_0046 in strain DSM 8691) encodes the primary Pfor protein in T. saccharolyticum, as evidenced by the significant decrease in PFOR activity and ethanol production in strains which had the pforA gene deleted [11]. These results suggested that the pforA, unlike the C. thermocellum pfors, was capable of supporting ethanol production to high titers (> 40 g/L).

Table 1 Gene names and locus numbers for five annotated C. thermocellum pfor genes or gene clusters
Full size table

Another important component of the pyruvate to ethanol pathway that utilizes a Pfor enzyme is ferredoxin, which is responsible for electron transfer from pyruvate to nicotinamide cofactors, in the context of ethanol production [12]. Previous work suggests that C. thermocellum ferredoxins are compatible with T. saccharolyticum ferredoxin-utilizing enzymes [13]. However, given that they play an important role in electron transfer, and that it is possible that some ferredoxins work better than others with certain enzymes, we decided to include the introduction of T. saccharolyticum ferredoxin into C. thermocellum in this study. We chose the Tsac_2084 ferredoxin because of its location adjacent to adhA and nfnAB (Tsac_2087 and Tsac_2086-2085, respectively) on the chromosome; given that these latter two enzymes were previously shown to be important for ethanol production, both in T. saccharolyticum [14, 15] and C. thermocellum [4], this ferredoxin seemed to be a reasonable choice.

In this study, we hypothesized that introducing the T. saccharolyticum pforA would improve ethanol production in a strain of C. thermocellum that had been previously engineered with other T. saccharolyticum ethanol production enzymes (i.e., strain LL1319). We also investigated whether the introduced PforA protein would be able to sustain ethanol production after the five known C. thermocellum Pfor enzyme and enzyme complexes were deleted (Fig 1). We also sought to determine the importance of T. saccharolyticum ferredoxin for ethanol production. We tested this by integrating T. saccharolyticum pforA (with or without the ferredoxin Tsac_2084) into C. thermocellum strains, and evaluating the effects that these genes had on enzyme activity, and on ethanol yield, titer, and maximum ethanol production rate, on soluble carbon sources as well as high loadings of crystalline cellulose.

Fig. 1
figure 1

Pyruvate to ethanol production in C. thermocellum using the T. saccharolyticum pyruvate to ethanol pathway; this figure is adapted from Hon et al. [4]. Metabolites and products are colored black. Native genes (Cth) and the pathways they correspondingly catalyze are colored gray; T. saccharolyticum genes (Tsc) that were previously introduced in Hon et al. [4], as well as the reactions that they catalyze, are colored green. Red arrows represent electron flux. The T. saccharolyticum pforA and ferredoxin introduced in this study are depicted in blue. The orange cross represents the pathways that were deleted in this study

Full size image

Methods

Strain and plasmid construction

Table 2 lists all strains used and constructed in this study, and the plasmids used for integrating and deleting genes of interests. All plasmids were constructed via isothermal assembly [16] using a commercial kit sold by New England Biolabs (NEBuilder® HiFi DNA Assembly Master Mix, catalog number E2621). Purification of plasmid DNA or PCR products for cloning was done using commercially available kits from Qiagen, Zymo Research, or New England Biolabs. C. thermocellum strains were transformed using previously described methods [17]. Plasmid DNA destined for transformation into C. thermocellum was purified from Escherichia coli BL21 derivative strains (New England Biolabs catalog number C2566) to ensure that the DNA was properly methylated [18].

Table 2 List of strains and integration/deletion plasmids used in this study
Full size table

Media preparation and culture conditions

All reagents used in this study were of molecular grade and obtained from either Sigma Aldrich or Fisher Scientific, unless otherwise noted. C. thermocellum strains were grown at 55 °C under anaerobic conditions, either in conical tubes in an anaerobic chamber (Coy Laboratory Products, Grass Lakes, MI), with previously described environmental conditions [4], or in sealed 150 mL serum bottles that were prepared and inoculated as previously described [4].

Complex medium (CTFUD) was prepared as previously described and used to culture C. thermocellum cells in preparation for transformations, or for harvesting genomic DNA for strain resequencing.

The defined medium (MTC-5) was prepared as previously described [4] and used for all other purposes. Cellobiose was used as the main carbon source, unless otherwise noted. For MTC-5, 5 g/L cellobiose was used for routine culture and growing cells for gene expression analyses (see "Measuring gene expression") or enzyme assays (see "Enzyme assays"). Cellobiose concentrations of 20 g/L and 50 g/L were used for fermentation end product analyses; when 50 g/L cellobiose was used, the concentrations of pyridoxamine dihydrochloride, P-aminobenzoic acid, D-biotin, and vitamin B12 used were doubled to a final concentration of 0.04 g/L, 0.008 g/L, 0.008 g/L, and 0.004 g/L, respectively.

Specific growth rates, measured on MTC-5 medium with 5 g/L cellobiose as the main carbon source and using a microplate reader, were determined as previously described [20].

Measuring gene expression

Gene expression was determined using reverse transcription quantitative PCR (RT-qPCR); Additional file 1: Table S1 lists the primers used for RT-qPCR. Cultures were grown on MTC-5 medium to mid-exponential phase (OD600 between 0.6 and 1.0); cultures were then processed as previously described [4]. Gene expression was normalized against C. thermocellum recA expression [21] to allow comparison across strains, as was previously done [4, 22, 23].

Translation initiation efficiencies were calculated using an online calculator from the Howard M. Salis group website (URL: https://salis.psu.edu/software/reverse) [24, 25].

Enzyme assays

Cell cultures were grown, harvested, stored, and lysed to obtain cell-free extract as previously described [4]. Protein concentrations in the cell-free extracts were determined using Bio-Rad (Hercules, CA) protein dye assay reagent, with bovine serum albumin used as a protein standard.

All enzyme assays were performed at 55 °C and at pH 7.0 under anaerobic conditions in an anaerobic chamber (Coy Laboratory Products, Grass Lakes, MI).

Pyruvate ferredoxin oxidoreductase (PFOR) activity was assayed by the reduction of benzyl viologen instead of methyl viologen, a modification of a previously described protocol [11]. The reduction of benzyl viologen was monitored at a wavelength of 578 nm, and an extinction coefficient of 7.8 mM−1 cm−1 was used to calculate activity [26]. The assay mixture contained 100 mM Tris–HCl, 5 µM FeSO4, 0.5 mM DTT, 2 mM MgCl2, 0.4 mM coenzyme A, 0.4 mM thiamine pyrophosphate, and 1 mM benzyl viologen dichloride. Cell extract was added to this assay mixture first to establish a baseline; the reaction was then started by adding 2 mM sodium pyruvate. The final volume for all biochemical assays was 1200 µL.

High solids fermentations

Bioreactor experiments were carried out as previously described [27], with an initial working volume of 1 L. MTC-5 medium [4] was modified to have 5 g/L initial urea instead of 2 g/L as previously reported, Vitamin and trace mineral concentrations were increased to 4× and 5× of previously reported values [4]. 100 g/L crystalline cellulose (Avicel PH105) was used as the main carbon source. Bioreactors were inoculated with 5 mL of an overnight culture (0.5% v/v inoculum) that was grown on MTC-5 medium modified to contain 5 g/L MOPS sodium salt and to use 5 g/L Avicel as the main carbon source. pH was maintained at 7.00 ± 0.05 by the automatic addition of 4 N KOH.

Analytical methods

The fermentation products were measured by high-pressure liquid chromatography (HPLC) as previously described [27]. For tube and serum bottle cultures, the results were normalized against an internal standard (MOPS buffer) to account for variation due to sample processing and handling. Headspace gas composition for serum bottle fermentations was measured as previously described [23].

To quantify extracellular amino acids, samples were first derivatized with a commercially available derivatization reagent (Accq-Tag Chemistry kit, catalog number WAT052875, Waters Corporation, Milford, MA). The derivatized samples were run on an HPLC equipped with the Waters AccQ∙Tag column (part number WAT052885, Waters Corporation, Milford, MA) with fluorescence detection, using an excitation wavelength of 250 nm and emission wavelength of 395 nm, following the manufacturer’s recommended instrument method. Sample preparation was performed according to the manufacturer’s instructions (manual number WAT052874, Rev 1, Waters Corporation, Milford MA).

Residual cellulose (Avicel PH105) concentration was determined via quantitative saccharification [28]. Pellet nitrogen (a proxy for cell biomass) was measured with a Shimadzu TOC-V CPH elemental analyzer with TNM-1 and ASI-V modules (Shimadzu Corp., Columbia, MD), as previously described [28, 29].

Volumetric ethanol production from bioreactor experiments was determined by fitting ethanol production data points for each fermentation with the five-parameter sigmoidal Richards equation [30], and calculating the first derivative of each fermentation’s fitted Richards equation.

Sequencing and resequencing

Routine Sanger sequencing of plasmids was performed by Genewiz. Inc., with at least twofold coverage of the cloned regions. Whole genome resequencing of strains was performed by the Department of Energy Joint Genome Institute, using the Illumina Miseq sequencing platform, with an average of 100-fold coverage. Sequencing data were analyzed with the CLC Genomics workbench, using strain LL1319 as the reference genome (accession number SRP101300). Accession numbers for strains and plasmids are listed in Table 2. A summary of the resequencing results can be found in Additional file 2.

Results

Choosing a promoter to drive pforA expression

Thermoanaerobacterium saccharolyticum pforA and ferredoxin were integrated into the C. thermocellum genome in strain LL1319, at a location immediately downstream of Clo1313_2637, and before the putative promoter for the Clo1313_2635 gene (Additional file 1: Figure S1). This was done so as to locate the new operon close to the previously introduced T. saccharolyticum adhA-nfnAB-adhEG544D operon [4], without disrupting a putative peroxiredoxin two-gene cluster (Clo1313_2638-2637). Three promoters were tested to drive expression of the pforA–ferredoxin operon: the previously described C. thermocellum enolase promoter [31], the T. saccharolyticum pforA promoter, and the Athe_2105 promoter from Caldicellulosiruptor bescii [19] with a modified ribosome binding site [24]. Promoter sequences and predicted translation initiation efficiencies of pforA are reported in Additional file 1: Table S2.

T. saccharolyticum pforA and ferredoxin expression was observed in all three operon configurations (Fig. 2a), but not in wild-type C. thermocellum and the parent strain, LL1319, as expected. In general, we observed that ferredoxin expression was lower than that of the pforA gene. It was also observed that the C. thermocellum enolase promoter resulted in the highest level of gene expression, followed by the T. saccharolyticum pforA promoter, with the modified Athe_2105 promoter giving the lowest level of expression. However, we also observed that expression was more variable with the C. thermocellum enolase promoter than with the two heterologous promoters. The variation observed with the native enolase promoter is similar to what we have previously observed for lacZ expression [31].

Fig. 2
figure 2

a Relative expression levels (normalized against C. thermocellum recA expression) of T. saccharolyticum pforA and ferredoxin. b, c Fermentation products of five C. thermocellum strains. Cultures were grown in 15 mL tubes with 5 mL of MTC-5 medium, with 60 ± 2 mM (~ 20 g/L) (b) or 151 ± 3 mM (~ 52 g/L) (c) initial cellobiose, for 72 h and 168 h, respectively, at 55 °C. Error bars represent one standard deviation (n = 3 for a and b, n = 5 for c)

Full size image

Fermentation product profiles for the C. thermocellum strains using the native enolase and T. saccharolyticum pforA promoters were indistinguishable from the parent strain LL1319 on 20 g/L initial cellobiose. The strain that used the C. bescii Athe_2105 promoter, however, showed an unexpected decrease in ethanol production (Fig. 2b). On 52 g/L initial cellobiose, we again observed that the Athe_2105 promoter-containing strain exhibited reduced ethanol production compared to the parent strain LL1319 (Fig. 2c), unlike the other two strains that contained the T. saccharolyticum pforA and ferredoxin; this strain was thus excluded from further investigations. Between the two other strains, both showed comparable improvements to ethanol production over the parent strain LL1319, with the T. saccharolyticum pforA promoter-driven strain showing slightly higher ethanol titers. Given that the T. saccharolyticum pforA promoter resulted in the highest levels of ethanol production of the three promoters tested, and that its use avoids duplicating native DNA sequences (which can lead to unintended recombination events and complicate the analysis of resequencing data), we proceeded forward with this strain and designated it as strain LL1391 (Table 2). Subsequent fermentations confirmed that strain LL1391 produced more ethanol than strain LL1319 (Fig. 3b), which may be attributed to a significant increase in the BV:PFOR specific enzyme activity in strain LL1391 (unpaired two-tailed t test, p = 0.0045) (Fig. 3a).

Fig. 3
figure 3

Specific BV:PFOR activity (a) and fermentation products (b) for 13 strains of C. thermocellum. The plus sign indicates the presence of a genetic modification in a strain. For enzyme activity, 1 unit (U) is equivalent to the formation of 1 µmol of product per minute. For the fermentations, cultures were grown in sealed serum bottles with 20 mL of MTC-5 medium with 145 ± 2 mM initial cellobiose (~ 50 g/L) for 168 h at 55 °C, with 180 rpm shaking. Values over the ethanol (red) columns represent the metabolic yield of ethanol as a percentage of theoretical maximum (assumes that a maximum of 2 moles of ethanol can be produced from 1 mole of glucose or glucose equivalent). Error bars represent one standard deviation (n ≥ 2 for enzyme specific activity, n ≥ 3 for fermentation products). Raw data and growth rates are presented in Additional file 1: Table S3; individual quantification of extracellular amino acid production is shown in Additional file 1: Table S4

Full size image

The effects of T. saccharolyticum pforA and ferredoxin expression on ethanol production

Strain LL1319 contains four T. saccharolyticum genes from previous strain development [4]; we therefore investigated whether the improvements in ethanol production were dependent on the presence of the previously introduced T. saccharolyticum adhA, nfnAB, and adhEG544D genes. Strain LL1565 was created by integrating T. saccharolyticum pforA and ferredoxin, driven by the T. saccharolyticum pforA promoter (plasmid pSH106, Table 2) into strain AG929 (the parent strain of strain LL1319). A significant increase in BV:PFOR specific activity in strain LL1565 was observed, relative to strain AG929 (unpaired two-tailed t test, p = 0.0064); the measured specific activity of strain LL1565 was comparable to activity levels measured in strain LL1391 (Fig. 3a), indicating that the introduced T. saccharolyticum PforA protein was present and active in the strain. Ethanol production with strain LL1565 appeared to be slightly improved relative to parent strain AG929, although the metabolic yield and final titers were significantly lower than that of strain LL1319 and by extension that of LL1391 (Fig. 3b), suggesting that the improvement in ethanol production from introducing pforA is dependent on the presence of the other T. saccharolyticum ethanol production pathway genes.

To determine whether the T. saccharolyticum ferredoxin was necessary for the improvements in ethanol production, T. saccharolyticum pforA alone was integrated into strain LL1319 at the same locus as was done in strain LL1391 to create strain LL1566 (using plasmid pSH121, see Table 2).  The BV:PFOR specific enzyme activity for strain LL1566 was no different from that observed in LL1391, as expected; fermentation products for the two strains were also similar, suggesting that the introduced T. saccharolyticum PforA protein was responsible for the improvements in ethanol production (Fig. 3). We attempted to introduce the T. saccharolyticum ferredoxin on its own into strain LL1319, but were not successful. Given that there appeared to be no detrimental effects in ethanol production due to the presence of T. saccharolyticum ferredoxin (Fig. 3), and that the ferredoxin is important in the production of ethanol as an electron carrier, we decided to retain it in subsequent strains (see Table 2 for strain lineage).

The effect of deleting native pfors on ethanol production

The introduction and expression of T. saccharolyticum pforA have thus far been associated with an increase in BV:PFOR specific activities, and an increase in ethanol titer and metabolic yield (Fig. 3). However, the strains evaluated so far still contain the five native Pfor-encoding genes and gene clusters (Table 1). To better determine whether the improvements in ethanol production were due to the introduced T. saccharolyticum PforA protein, we deleted all five C. thermocellum pfor gene clusters in an iterative manner.

Previous work suggested that pfor1 (Clo1313_0020-0023) and pfor4 (Clo1313_1353-1356) encoded for the main Pfor protein complexes in C. thermocellum [10]. Further support for pfor1 and pfor4 encoding for important Pfor complexes in C. thermocellum was found when it was observed that BV:PFOR specific activity decreased by ~ 80% relative to wild-type C. thermocellum (Additional file 1: Figure S2) when either pfor1 or pfor4 was deleted in C. thermocellum (strain LL1556 and LL1564). Strains containing a deletion of either pfor2 or pfor5 did not show any significant differences in BV:PFOR specific activity, suggesting that they were not important for PFOR activity in C. thermocellum, or that pyruvate was not the primary substrate for these enzymes. The deletion of pfor3, which bears the most similarity to the T. saccharolyticum pforA, also resulted in ~ 40% decrease in specific BV:PFOR activity. Given these observations, pfor1 and pfor4 were therefore the first targets for gene deletion in strain LL1391.

Starting with strain LL1391 (wt strain expressing T. saccharolyticum pathway, including pforA), deletion of pfor1 (strain LL1436) did not result in any significant effects on ethanol production or enzyme specific activity. Deletion of pfor4 (strain LL1437), however, showed a decrease in ethanol yield and a large decrease in titer (Fig. 3b), despite very little change in BV:PFOR activity (LL1391 vs. LL1437, unpaired two-tailed t test, p = 0.23) (Fig. 3a).

Resequencing analyses subsequently revealed that LL1437 contained a 1207G > T mutation in the coding sequence for the Clo1313_1483 gene that resulted in a G403* nonsense mutation in the amino acid sequence; excluding the targeted pfor deletions, there were no other differences between the genomes of the two strains. Clo1313_1483 is annotated as encoding a predicted pyrroloquinoline quinone-associated protein, and previous work suggests that it is expressed in C. thermocellum strain ATCC27405 [32, 33]; however, its function in C. thermocellum strain DSM1313 is unknown.

To compare the effect of the Clo1313_1483 mutation vs. pfor4 deletion, we constructed two pfor1/pfor4 double deletion strains: LL1438 (LL1436 with pfor4 deleted) and LL1567 (LL1437 with pfor1 deleted). Since neither of these strains showed any significant difference in ethanol production relative to their respective parent strains (LL1438 vs. LL1436 and LL1567 vs. LL1437), the difference in ethanol production between LL1436 and LL1437 is likely due to the Clo1313_1483 mutation, and not the effect of the pfor4 deletion.

The double pfor1/pfor4 deletion strain, LL1438, was still able to sustain the improved ethanol production observed in strain LL1391. To eliminate the possibility that this was due to the remaining three C. thermocellum Pfor enzymes compensating for the pfor1 and pfor4 deletions, the genes encoding for pfor3, pfor2, and pfor5 (see Table 1 for gene numbers) were iteratively deleted to create strain LL1570. Strain LL1570 was able to produce 424 ± 13 mM (~ 20 g/L) of ethanol from 50 g/L of cellobiose, with a metabolic ethanol yield of 80% of the theoretical maximum (Fig. 4b; also see Additional file 1: Table S3), an improvement over the reference strain LL1319, which was previously reported to have achieved a maximum ethanol yield of 74% of theoretical maximum on 20 g/L cellobiose, and a maximum ethanol titer of 326 mM (~ 15 g/L) on 60 g/L Avicel (120). The maximum specific growth rate of strain LL1570 on cellobiose was unaffected relative to the starting strain, LL1319 (Additional file 1: Table S3), suggesting that deleting the native pfor genes did not result in any growth defects, and that the introduced T. saccharolyticum pforA complemented the deletions of these five native C. thermocellum pfor genes.

Fig. 4
figure 4

Comparison of the effect of fermentation with native C. thermocellum pfors (strain LL1319) or T. saccharolyticum pforA (strain LL1570). Substrate utilization as residual cellulose (light blue) and cells by pellet nitrogen (orange) versus fermentation times for strains LL1319 (a) and LL1570 (b). Major fermentation products—ethanol (red), acetate (dark blue), lactate (light blue), formate (light green), glucose (gray), isobutanol (purple), and extracellular amino acids (yellow) from the same fermentation runs for strains LL1319 (c) and LL1570 (d). Error bars represent mean absolute deviation (n = 2 fermentations). The data shown is for representative fermentations. Data for additional replicates is presented in Additional file 1: Table S5 and Figure S3. See Additional file 3 for tabular presentation of the data

Full size image

In strain LL1570, we would have expected that deletion of pforA would eliminate acetate and ethanol production and divert flux to lactate production (similar to what was observed for pfor deletions in T. saccharolyticum [11]). Despite several attempts to delete pforA in this strain, we were not successful. Although not conclusive, this negative result suggests that PFOR activity is essential in this strain, and that pforA is the source of that activity.

Fermentation of high cellulose concentrations

To determine if replacing of the native pfors with the T. saccharolyticum pforA and ferredoxin had improved the maximum ethanol titer and maximum volumetric production rate of ethanol, and to evaluate the performance of the strain on a cellulosic substrate, strains LL1319 and LL1570 were grown on 100 g/L Avicel microcrystalline cellulose.

Strains LL1319 and LL1570 consumed about the same amount of Avicel (Figs. 3b and 4a, see also Additional file 1: Table S5), but produced different amounts of ethanol. Strain LL1319 produced ethanol to a titer of 486 ± 5 mM (~ 22 ± 0.2 g/L) (Fig. 4c), for a metabolic yield of 45% of the theoretical maximum; the ethanol titer observed here was higher than previously reported [4], although it should be noted that the media composition was different. In contrast, strain LL1570 produced 551 ± 32 mM (25 ± 1.5 g/L) of ethanol (Fig. 4d, Additional file 1: Figure S3), for a metabolic yield of 54% of theoretical maximum. The results provide further evidence that T. saccharolyticum pforA improved ethanol yield and titer (unpaired two-tailed t test; p = 0.003 for ethanol yield, p = 0.02 for ethanol titer). The differences in volumetric productivity of ethanol between strains LL1319 and LL1570 (0.66 ± 0.03 g L−1 h−1 and 0.70 ± 0.12 g L−1 h−1, respectively) were not statistically significant (unpaired two-tailed t test; p = 0.338) (Additional file 1: Table S5). The ethanol titer of 25 g/L for strain LL1570 was very similar to that produced by another engineered strain of C. thermocellum, LL1210 (Δhpt ΔhydG Δldh Δpfl Δpta-ack adhE(D494G)), which was generated by eliminating the native competing carbon and electron pathways, followed by strain adaptation over ~ 2500 generations to increase growth rate, and which was reported to produce 27 g/L of ethanol from 95 g/L of Avicel [34]. The byproduct concentrations (organic acids and total extracellular amino acids) in both strains LL1319 and LL1570 were similar, except for isobutanol production, which decreased to below our limit of quantification (0.1 mM) in strain LL1570 (Fig. 4d) (strain LL1319 produced a maximum isobutanol titer of ~ 14 mM; see Fig. 4c); this suggests that one of the deleted C. thermocellum pfors may be involved in the biosynthesis of isobutanol. Fermentation results from a set of C. thermocellum strains that contain a deletion of one of the five annotated pfors suggest that it is pfor4 that is associated with isobutanol production (Additional file 1: Figure S4).

Discussion and conclusion

In this work, we investigated the effects of T. saccharolyticum pforA and ferredoxin on ethanol production in C. thermocellum. There was no effect from expressing T. saccharolyticum ferredoxin in C. thermocellum. It is known that ferredoxins from one organism can often transfer electrons to proteins from another organism [35], so it would not be surprising if one of the native C. thermocellum ferredoxins was sufficient for electron transfer from T. saccharolyticum Pfor protein.

Introducing just the T. saccharolyticum pforA did not improve ethanol titer, but it slightly shifted the ethanol to acetate ratio in favor of ethanol production. When the T. saccharolyticum pforA was expressed alongside the previously introduced T. saccharolyticum adhA, nfnAB, and adhEG544D genes, ethanol production improved. These observations support the hypothesis that pforA is an important component of the T. saccharolyticum pyruvate-to-ethanol pathway. Furthermore, the pforA from T. saccharolyticum was able to functionally complement the deletion of the five annotated C. thermocellum pfor genes.

Isobutanol production in strain LL1570 was reduced below our limit of quantification (0.1 mM). Fermentation data from a set of C. thermocellum strains with single deletions of each of the five annotated pfors points to pfor4 being responsible for isobutanol production. Given the interest in producing isobutanol either for use as a biofuel or as a feedstock chemical [36]; the knowledge that pfor4 is necessary for isobutanol production could be beneficial to further improve its production from cellulosic substrates.

The ability to use a T. saccharolyticum promoter to drive the expression of the pforA-ferredoxin operon is relevant to future work involving gene expression in C. thermocellum. Whereas native C. thermocellum promoters have been characterized [31], with the enolase promoter being used successfully in this study to express T. saccharolyticum pforA, these promoters may still be subject to native transcriptional regulation, and therefore may not be suitable if constitutive gene expression is desired. It should be noted that other examples of heterologous promoters being used in C. thermocellum have been reported [19]. As heterologous gene expression becomes more prevalent in C. thermocellum [4, 22, 37], it will become increasingly necessary to develop libraries of non-native or synthetic genetic tools to avoid excessive duplicating of native DNA elements, which could contribute to genome instability.

Having now introduced six genes from the T. saccharolyticum pyruvate to ethanol pathway into C. thermocellum, we observe that there is still a ~ 40 g/L difference between the maximum ethanol titers achieved by engineered C. thermocellum (25–30 g/L) [34] and those achieved by engineered T. saccharolyticum (60–70 g/L) [5], suggesting that there remains more work to be done. With regard to the Pfor-catalyzed conversion of pyruvate to acetyl-CoA, one consideration is that the Pfor enzyme functions in tandem not only with ferredoxin, but also with ferredoxin:NAD(P)+ oxidoreductase (Fnor). It is possible that titer limitations in engineered C. thermocellum are due to an un-optimized Pfor–ferredoxin–Fnor module. Some promising directions for further research include characterizing the Pfor–ferredoxin–Fnor modules of C. thermocellum and T. saccharolyticum in more detail, or engineering the module with better enzymes or through protein engineering of the existing enzymes to overcome possible substrate or cofactor inhibitions [38, 39].

References

  1. Olson DG, McBride JE, Shaw AJ, Lynd LR. Recent progress in consolidated bioprocessing. Curr Opin Biotechnol. 2012;23:396–405. https://doi.org/10.1016/j.copbio.2011.11.026.

    Article  CAS  PubMed  Google Scholar 

  2. Lynd LR, Liang X, Biddy MJ, Allee A, Cai H, Foust T, et al. Cellulosic ethanol: status and innovation. Curr Opin Biotechnol. 2017;45:202–11. https://doi.org/10.1016/j.copbio.2017.03.008.

    Article  CAS  PubMed  Google Scholar 

  3. Dien BS, Cotta MA, Jeffries TW. Bacteria engineered for fuel ethanol production: current status. Appl Microbiol Biotechnol. 2003;63:258–66.

    Article  CAS  PubMed  Google Scholar 

  4. Hon S, Olson DG, Holwerda EK, Lanahan AA, Murphy SJ, Maloney MI, et al. The ethanol pathway from Thermoanaerobacterium saccharolyticum improves ethanol production in Clostridium thermocellum. Metab Eng. 2017;42:175–84. https://doi.org/10.1016/j.ymben.2017.06.011.

    Article  CAS  PubMed  Google Scholar 

  5. Herring CD, Kenealy WR, Shaw AJ, Covalla SF, Olson DG, Zhang J, et al. Strain and bioprocess improvement of a thermophilic anaerobe for the production of ethanol from wood. Biotechnol Biofuels. 2016;9:125. https://doi.org/10.1186/s13068-016-0536-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Olson DG, Sparling R, Lynd LR. Ethanol production by engineered thermophiles. Curr Opin Biotechnol. 2015;33:130–41. https://doi.org/10.1016/j.copbio.2015.02.006.

    Article  CAS  PubMed  Google Scholar 

  7. Ma K, Hutchins A, Sung SJS, Adams MWW. Pyruvate ferredoxin oxidoreductase from the hyperthermophilic archaeon, Pyrococcus furiosus, functions as a CoA-dependent pyruvate decarboxylase. Proc Natl Acad Sci. 1997;94:9608–13. https://doi.org/10.1073/pnas.94.18.9608.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Chabriere E, Cavazza C, Contreras-Martel C, Fontecilla-Camps JC. Pyruvate-ferredoxin oxidoreductase. Encycl Inorg Bioinorg Chem. 2011. https://doi.org/10.1002/9781119951438.eibc0647.

    Article  Google Scholar 

  9. Townson SM, Upcroft A, Upcroft P. Characterisation and purification of pyruvate:ferredoxin oxidoreductase from Giarda duodenalis. Mol Biochem Parasitol. 1996;79:183–93.

    Article  CAS  PubMed  Google Scholar 

  10. Xiong W, Lin PP, Magnusson L, Warner L, Liao JC, Maness P-C, et al. CO2-fixing one-carbon metabolism in a cellulose-degrading bacterium Clostridium thermocellum. Proc Natl Acad Sci. 2016. https://doi.org/10.1073/pnas.1605482113.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Zhou J, Olson DG, Lanahan AA, Tian L, Murphy SJ-L, Lo J, et al. Physiological roles of pyruvate ferredoxin oxidoreductase and pyruvate formate-lyase in Thermoanaerobacterium saccharolyticum JW/SL-YS485. Biotechnol Biofuels. 2015;8:138. https://doi.org/10.1186/s13068-015-0304-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Verbeke TJ, Zhang X, Henrissat B, Spicer V, Rydzak T, Krokhin OV, et al. Genomic evaluation of Thermoanaerobacter spp. for the construction of designer co-cultures to improve lignocellulosic biofuel production. PLoS ONE. 2013;8:e59362. https://doi.org/10.1371/journal.pone.0059362.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Tian L, Lo J, Shao X, Zheng T, Olson DG, Lynd LR. Ferredoxin:NAD+ Oxidoreductase of Thermoanaerobacerium saccharolyticum and Its Role in Ethanol Formation. Appl Environ Microbiol. 2016;82:7134–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Lo J, Zheng T, Olson DG, Ruppertsberger N, Tripathi SA, Guss AM, et al. Deletion of nfnAB in Thermoanaerobacterium saccharolyticum and its effect on metabolism. J Bacteriol. 2015;197:2920–9. https://doi.org/10.1128/JB.00347-15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Zheng T, Olson DG, Murphy SJ-L, Shao X, Tian L, Lynd LR. Both adhE and a separate NADPH-dependent alcohol dehydrogenase, adhA, are necessary for high ethanol production in Thermoanaerobacterium saccharolyticum. J Bacteriol. 2017;199:1–10. https://doi.org/10.1128/JB.00542-16.

    Article  Google Scholar 

  16. Gibson DG. Enzymatic assembly of overlapping DNA fragments. Methods Enzymol. 2011;498:349–61. https://doi.org/10.1016/B978-0-12-385120-8.00015-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Olson DG, Lynd LR. Transformation of Clostridium thermocellum by electroporation. Methods in enzymology. 2012. https://doi.org/10.1016/b978-0-12-415931-0.00017-3.

    Article  PubMed  Google Scholar 

  18. Guss AM, Olson DG, Caiazza NC, Lynd LR. Dcm methylation is detrimental to plasmid transformation in Clostridium thermocellum. Biotechnol Biofuels. 2012;5:30. https://doi.org/10.1186/1754-6834-5-30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Groom J, Chung D, Olson DG, Lynd LR, Guss AM, Westpheling J. Promiscuous plasmid replication in thermophiles: use of a novel hyperthermophilic replicon for genetic manipulation of Clostridium thermocellum at its optimum growth temperature. Metab Eng Commun. 2016;3:30–8. https://doi.org/10.1016/j.meteno.2016.01.004.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Olson DG, Lynd LR. Computational design and characterization of a temperature-sensitive plasmid replicon for gram positive thermophiles. J Biol Eng. 2012. https://doi.org/10.1186/1754-1611-6-5.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods. 2001;25:402–8. https://doi.org/10.1006/meth.2001.1262.

    Article  CAS  PubMed  Google Scholar 

  22. Hon S, Lanahan AA, Tian L, Giannone RJ, Hettich RL, Olson DG, et al. Development of a plasmid-based expression system in Clostridium thermocellum and its use to screen heterologous expression of bifunctional alcohol dehydrogenases (adhEs). Metab Eng Commun. 2016. https://doi.org/10.1016/j.meteno.2016.04.001.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Lo J, Olson DG, Murphy SJ-L, Tian L, Hon S, Lanahan A, et al. Engineering electron metabolism to increase ethanol production in Clostridium thermocellum. Metab Eng. 2017;39:71–9. https://doi.org/10.1016/j.ymben.2016.10.018.

    Article  CAS  PubMed  Google Scholar 

  24. Espah Borujeni A, Channarasappa AS, Salis HM. Translation rate is controlled by coupled trade-offs between site accessibility, selective RNA unfolding and sliding at upstream standby sites. Nucleic Acids Res. 2014;42:2646–59.

    Article  CAS  PubMed  Google Scholar 

  25. Salis HM, Mirsky EA, Voigt CA. Automated design of synthetic ribosome binding sites to control protein expression. Nat Biotechnol. 2009;27:946–50. https://doi.org/10.1038/nbt.1568.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Wang S, Huang H, Moll J, Thauer RK. NADP+ reduction with reduced ferredoxin and NADP+ reduction with NADH are coupled via an electron-bifurcating enzyme complex in Clostridium kluyveri. J Bacteriol. 2010;192:5115–23. https://doi.org/10.1128/JB.00612-10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Holwerda EK, Thorne PG, Olson DG, Amador-Noguez D, Engle NL, Tschaplinski TJ, et al. The exometabolome of Clostridium thermocellum reveals overflow metabolism at high cellulose loading. Biotechnol Biofuels. 2014;7:155. https://doi.org/10.1186/s13068-014-0155-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Holwerda EK, Hirst KD, Lynd LR. A defined growth medium with very low background carbon for culturing Clostridium thermocellum. J Ind Microbiol Biotechnol. 2012;39:943–7.

    Article  CAS  PubMed  Google Scholar 

  29. Holwerda EK, Ellis LD, Lynd LR. Development and evaluation of methods to infer biosynthesis and substrate consumption in cultures of cellulolytic microorganisms. Biotechnol Bioeng. 2013;110:2380–8.

    Article  CAS  PubMed  Google Scholar 

  30. Richards FJ. A flexible growth function for emperical use. J Exp Bot. 1959;10:290–300. https://doi.org/10.1093/jxb/10.2.290.

    Article  Google Scholar 

  31. Olson DG, Maloney M, Lanahan AA, Hon S, Hauser LJ, Lynd LR. Identifying promoters for gene expression in Clostridium thermocellum. Metab Eng Commun. 2015;2:23–9. https://doi.org/10.1016/j.meteno.2015.03.002.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Raman B, McKeown CK, Rodriguez M, Brown SD, Mielenz JR. Transcriptomic analysis of Clostridium thermocellum ATCC 27405 cellulose fermentation. BMC Microbiol. 2011;11:134. https://doi.org/10.1186/1471-2180-11-134.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Gowen CM, Fong SS. Genome-scale metabolic model integrated with RNAseq data to identify metabolic states of Clostridium thermocellum. Biotechnol J. 2010;5:759–67.

    Article  CAS  PubMed  Google Scholar 

  34. Tian L, Papanek B, Olson DG, Rydzak T, Holwerda EK, Zheng T, et al. Simultaneous achievement of high ethanol yield and titer in Clostridium thermocellum. Biotechnol Biofuels. 2016;9:1–11.

    Article  CAS  Google Scholar 

  35. Huang H, Hu L, Yu W, Li H, Tao F, Xie H, et al. Heterologous overproduction of 2[4Fe4S]- and [2Fe2S]-type clostridial ferredoxins and [2Fe2S]-type agrobacterial ferredoxin. Protein Expr Purif. 2016;121:1–8. https://doi.org/10.1016/j.pep.2015.12.019.

    Article  CAS  PubMed  Google Scholar 

  36. Lin PP, Mi L, Morioka AH, Yoshino KM, Konishi S, Xu SC, et al. Consolidated bioprocessing of cellulose to isobutanol using Clostridium thermocellum. Metab Eng. 2015;31:44–52. https://doi.org/10.1016/j.ymben.2015.07.001.

    Article  CAS  PubMed  Google Scholar 

  37. Tian L, Perot SJ, Hon S, Zhou J, Liang X, Bouvier JT, et al. Enhanced ethanol formation by Clostridium thermocellum via pyruvate decarboxylase. Microb Cell Fact. 2017;16:1–10.

    Article  Google Scholar 

  38. Kim Y, Ingram LO, Shanmugam KT. Construction of an Escherichia coli K-12 mutant for homoethanologenic fermentation of glucose or xylose without foreign genes. Appl Environ Microbiol. 2007;73:1766–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kim Y, Ingram LO, Shanmugam KT. Dihydrolipoamide dehydrogenase mutation alters the NADH sensitivity of pyruvate dehydrogenase complex of Escherichia coli K-12. J Bacteriol. 2008;190:3851–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Authors’ contributions

SH, EKH, LT, LRL, and DGO designed the experiments. SH performed plasmid construction, gene expression measurements, strain construction, biochemical assays, bottle and tube fermentations and subsequent sample analyses, and analyses of Sanger sequencing and whole genome resequencing results. PPL constructed strains LL1556, LL1559, LL1560, LL1563, and LL1564, and also measured isobutanol production from these five strains; JC performed biochemical assay measurements of these five strains. MIM performed genomic DNA extractions from C. thermocellum strains for resequencing. SH, EKH, and RSW performed the high solid fermentation experiments, as well as the sample analyses. SH and DGO wrote the manuscript. EKH, LRL, and DGO revised the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We thank Janet W. Westpheling and Joseph Groom for the gift of plasmid pJGW37. We thank Johannes P. van Dijken for the useful feedback. The BioEnergy Science Center and Center for Bioenergy Innovation are US Department of Energy Bioenergy Research Centers supported by the Office of Biological and Environmental Research in the DOE Office of Science. Resequencing was performed by the Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, and is supported by the Office of Science of the US Department of Energy under contract number DE-AC02–05CH11231.

Competing interests

Lee R. Lynd is a founder of the Enchi Corporation, which has a financial interest in Clostridium thermocellum.

Availability of data and materials

All data generated or analyzed during this study are included in the published article and its additional files. DNA sequences and resequencing results are available from GenBank via their accession numbers (see Table 2).

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Funding

The BioEnergy Science Center and Center for Bioenergy Innovation are US Department of Energy Bioenergy Research Centers supported by the Office of Biological and Environmental Research in the DOE Office of Science.

Resequencing was performed by the Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, and is supported by the Office of Science of the US Department of Energy under contract number DE-AC02–05CH11231.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations

  1. Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA

    Shuen Hon, Evert K. Holwerda, Robert S. Worthen, Marybeth I. Maloney, Liang Tian, Lee R. Lynd & Daniel G. Olson

  2. Bioenergy Science Center, Oak Ridge National Laboratories, Oak Ridge, TN, 37830, USA

    Shuen Hon, Evert K. Holwerda, Robert S. Worthen, Marybeth I. Maloney, Liang Tian, Jingxuan Cui, Paul P. Lin, Lee R. Lynd & Daniel G. Olson

  3. Center for Bioenergy Innovation, Oak Ridge National Laboratories, Oak Ridge, TN, 37830, USA

    Shuen Hon, Evert K. Holwerda, Robert S. Worthen, Marybeth I. Maloney, Liang Tian, Jingxuan Cui, Lee R. Lynd & Daniel G. Olson

  4. Department of Biological Sciences, Dartmouth College, Hanover, NH, 03755, USA

    Jingxuan Cui & Lee R. Lynd

  5. University of California, Los Angeles, Los Angeles, CA, 90095, USA

    Paul P. Lin

Authors
  1. Shuen Hon
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Evert K. Holwerda
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Robert S. Worthen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marybeth I. Maloney
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Liang Tian
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jingxuan Cui
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Paul P. Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Lee R. Lynd
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Daniel G. Olson
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Lee R. Lynd or Daniel G. Olson.

Additional files

Additional file 1.

Supplementary material for this study, including primer sequences (Table S1), promoter sequences (Table S2), fermentation data (Table S3, Table S4, Table S5, Figure S3 and Figure S4), chromosomal maps (Figure S1) and enzyme assay data (Figure S2).

Additional file 2.

List of mutations observed among the strains described in this study

Additional file 3.

Tabular presentation of the data from fermentation of high cellulose concentrations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hon, S., Holwerda, E.K., Worthen, R.S. et al. Expressing the Thermoanaerobacterium saccharolyticum pforA in engineered Clostridium thermocellum improves ethanol production. Biotechnol Biofuels 11, 242 (2018). https://doi.org/10.1186/s13068-018-1245-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13068-018-1245-2

Keywords

Biotechnology for Biofuels and Bioproducts

ISSN: 2731-3654

Contact us