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Using a vector pool containing variable-strength promoters to optimize protein production in Yarrowia lipolytica
Microbial Cell Factories volume 16, Article number: 31 (2017)
The yeast Yarrowia lipolytica is an increasingly common biofactory. To enhance protein expression, several promoters have been developed, including the constitutive TEF promoter, the inducible POX2 promotor, and the hybrid hp4d promoter. Recently, new hp4d-inspired promoters have been created that couple various numbers of UAS1 tandem elements with the minimal LEU2 promoter or the TEF promoter. Three different protein-secretion signaling sequences can be used: preLip2, preXpr2, and preSuc2.
To our knowledge, our study is the first to use a set of vectors with promoters of variable strength to produce proteins of industrial interest. We used the more conventional TEF and hp4d promoters along with five new hybrid promoters: 2UAS1-pTEF, 3UAS1-pTEF, 4UAS1-pTEF, 8UAS1-pTEF, and hp8d. We compared the production of RedStar2, glucoamylase, and xylanase C when strains were grown on three media. As expected, levels of RedStar2 and glucoamylase were greatest in the strain with the 8UAS1-pTEF promoter, which was stronger. However, surprisingly, the 2UAS1-pTEF promoter was associated with the greatest xylanase C production and activity. This finding underscored that stronger promoters are not always better when it comes to protein production. We therefore developed a method for easily identifying the best promoter for a given protein of interest. In this gateway method, genes for YFP and α-amylase were transferred into a pool of vectors containing different promoters and gene expression was then analyzed. We observed that, in most cases, protein production and activity were correlated with promoter strength, although this pattern was protein dependent.
Protein expression depends on more than just promoter strength. Indeed, promoter suitability appears to be protein dependent; in some cases, optimal expression and activity was obtained using a weaker promoter. We showed that using a vector pool containing promoters of variable strength can be a powerful tool for rapidly identifying the best producer for a given protein of interest.
Increasing the efficiency of heterologous gene expression is a major goal for the agrifood, bioconversion, and pharmaceutical industries as they have a growing need for recombinant proteins. Expression systems using yeasts present several advantages: yeasts are easy to manipulate, they are unicellular organisms with rapid growth rates, and they are eukaryotes that can incorporate post-translational modifications. In addition to the more conventional Saccharomyces cerevisiae , alternative model species are also used as biofactories, including Pichia pastoris, Hansanula polymorpha, Kluyveromyces lactis, Kluyveromyces marxianus [2–5], and Yarrowia lipolytica [6, 7].
Production systems exploiting Y. lipolytica have several advantages [7, 8]. First, Y. lipolytica is a non-pathogenic organism that can grow on a diversity of substrates. Second, the products of several Y. lipolytica-based processes have received the “generally recognized as safe” (GRAS) designation from the FDA. Third, Y. lipolytica has a naturally strong secretory ability [7, 8] and demonstrates weak protein glycosylation .
Several genetic tools are available to enhance protein expression in Y. lipolytica. Indeed, integrative expression cassettes containing different markers, such as LEU2, URA3, ADE2, and LYS5, have been constructed. They can be used to transform competent auxotrophic strains of Y. lipolytica. Moreover, several promoters are also available, including the constitutive TEF promoter, the constitutive and hybrid hp4d promoter, and the inducible POX2 and LIP2 promoters [10–14]. In addition, several transformation methods have been developed to optimize the transformation rate [15–17]. Currently, the lithium-acetate method is the most common, whether the goal is to inactivate endogenous genes or to transform expression cassettes . All of these tools have been successfully used in Y. lipolytica to produce such proteins as xylanase, lipase, leucine aminopeptidase II, human interferon, α2b endoglucanase II, and cellobiohydrolase II [6, 9, 14, 19, 20]. Past studies have also identified at least three sequences that can be used to optimize protein secretion in Y. lipolytica: preLip2, preXpr2, and preSuc2 [6, 14, 21,22,23,24].
Several studies have suggested that Y. lipolytica is better than P. pastoris at producing heterologous proteins [20, 25]. Indeed, Nars and colleagues  found that, as opposed to P. pastoris, E. coli, or simple free cells, Y. lipolytica was the best candidate for generating extracellular Lip2 because it can form a stable isotope-labeled version of the protein. Boonvitthya and colleagues  compared endoglucanase II and cellobiohydrolase II production in Y. lipolytica and P. pastoris. In YT medium, Y. lipolytica produced up to 15 mg/L of endoglucanase and 50 mg/L of cellobiohydrolase. Furthermore, the enzymes produced by Y. lipolytica had higher levels of specific activity than did their counterparts in P. pastoris. Finally, it has been found that Y. lipolytica has weaker protein glycosylation than does P. pastoris .
One of the first strong constitutive promoters was developed by Novo, using the TEF1 gene, which encodes the translation elongation factor-1α . Later, Madzak and colleagues  identified the upstream activating sequence UAS1 in the XPR2 gene (which encodes the secreted alkaline extracellular protease). This discovery led to the development of the hp4d promoter, which is based on the minimal LEU2 promoter and contains four UAS1 tandem elements; with this promoter, expression increases as the number of UAS1 tandem elements increases. More recently, several research groups have used this basic model (i.e., multiple UAS tandem elements associated with a core promoter) to develop improved promoters [27–29]. It has been found that the core promoter and the upstream activating sequence (i.e., the UAS1 tandem elements) act independently and that, as previously noted, promoter strength increases with the number of UAS1 tandem elements. Shabbir Hussain and colleagues  showed that promoter strength can be fine-tuned by engineering the sequences of the TATA box, the core promoter, or the upstream activating region. To quantify promoter strength, they used fluorescent proteins and β-galactosidase assays.
However, to our knowledge, no study to date has used these UAS1-based promoters to produce proteins of industrial interest. Here, we used two conventional promoters, pTEF and hp4d, as well as five new hybrid promoters of our own construction. To create the latter, we added two, three, four, or eight UAS1 tandem elements to pTEF; we also added four tandem elements to hp4d. Promoter strength in transformed Y. lipolytica strains was quantified using RedStar2, a fluorescent protein, as a reporter; we also analyzed the production of secreted Aspergillus niger glucoamylase (GA) and xylanase C (XlnC). GA is a glucan 1,4-alpha-glucosidase that belongs to the glycosyl hydrolase family. It catalyzes the degradation of starch and other complex sugars, releasing d-glucose. GA is largely used to produce biolipids and bioethanol from starch or lignocellulosic materials [30, 31]. XlnC is a beta-1,4-beta-xylanase that breaks down hemicellulose, a component of plant cell walls, releasing xylose. The paper, textile, and pet-food industries are major consumers of xylanase.
Our results revealed that optimal protein expression, secretion, and activity are not always correlated with promoter strength. Consequently, we developed a simple method for improving protein expression that involves the use of a pool of vectors containing promoters of variable strength.
Yeast strains, growth media, and culture conditions
The Y. lipolytica wild-type strain W29 (ATCC20460) was used as the basis for all the Y. lipolytica strains built in this study (see Additional file 1: Table S1 for the full list). The auxotrophic strain Po1d (Leu− Ura−) has previously been described by Barth and Gaillardin . Escherichia coli strain DH5α was used to construct the plasmids, except in the case of vectors containing ccdB, for which E. coli strain DB3.1 was used. E. coli growth media and culture conditions have been previously described by Sambrook and colleagues , and those for Y. lipolytica have been described by Barth and Gaillardin . Rich medium (YPD) and minimal glucose medium (YNB) were prepared as described elsewhere . The YPD medium contained 10 g/L of yeast extract (Difco, Paris, France), 10 g/L of Bacto Peptone (Difco, Paris, France), and 10 g/L of glucose (Sigma Aldrich, Saint-Quentin Fallavier, France). The YNB medium contained 1.7 g/L of yeast nitrogen base without amino acids and ammonium sulfate (YNBww; Difco, Paris, France), 10 g/L of glucose (Sigma), 5.3 g/L of NH4Cl, and 50 mM phosphate buffer (pH 6.8). This minimal medium was supplemented with uracil (0.1 g/L) and/or leucine (0.1 g/L) as necessary. YP2D4 medium contained 10 g/L of yeast extract (Difco, Paris, France), 20 g/L of Bacto Peptone (Difco, Paris, France), and 40 g/L of glucose (Sigma Aldrich, Saint-Quentin Fallavier, France). Solid media were created by adding 1.6% agar.
Plasmid and strain construction
The structure of the plasmids constructed in this study was typical of that of the expression vector JMP62  (Fig. 1a). The plasmids contained an excisable marker (the I-sceI fragment flanked by LoxP/LoxR ), and the promoter and gene of interest were carried in the ClaI-BamHI and BamHI-AvrII fragments, respectively. The zeta region for expression cassette integration was flanked by the NotI site, which is involved in the release of the expression cassette prior to transformation. Plasmid and strain construction are described in Additional file 2: Figure S1. In most cases, the genes of interest were introduced by digesting the corresponding donor plasmid using BamHI-AvrII (Additional file 2: Figure S1a). Promoter exchange was performed by digesting the donor plasmid using ClaI-BamHI; ClaI was used to insert the modified promoter (Additional file 2: Figure S1b).
The two, three, or four UAS1 tandem element fragments were amplified by PCR using HYB-ClaI3′Hp4d5′ and HYB-BstbI5′Hp4d3′ as primers (Table 1; Additional file 2: Figure S1). The corresponding fragments were ligated into pCR4Blunt-TOPO® in accordance with the manufacturer’s instructions (Invitrogen, Saint-Aubin, France).
GA was cloned into the JMP2482, JMP2484, JMP2397, JMP2607, JMP2471, and JMP2473 plasmids at the BamHI and AvrII restriction sites, yielding JMP3781 (LEU2ex 2UAS1-pTEF-GA), JMP3782 (LEU2ex 3UAS1-pTEF-GA), JMP3783 (LEU2ex 4UAS1-pTEF-GA), JMP3784 (LEU2ex 8UAS1-pTEF-GA), JMP3785 (LEU2ex hp4d-GA), and JMP3786 (LEU2ex hp8d-GA), respectively.
XlnC was cloned into the JMP2482, JMP2484, JMP2397, JMP2607, JMP2471, and JMP2473 plasmids at the BamHI and AvrII restriction sites, yielding the JMP3096 (LEU2ex 2UAS1-pTEF-XlnC), JMP3097 (LEU2ex 3UAS1-pTEF-XlnC), JMP3098 (LEU2ex 4UAS1-pTEF-XlnC), JMP3099 (LEU2ex 8UAS1-pTEF-XlnC), JMP3100 (LEU2ex hp4d-XlnC), and JMP3101 (LEU2ex hp8d-XlnC) plasmids, respectively.
The sequences of the genes encoding YFP and α-amylase are provided in Additional file 3: Data S1. These genes were inserted into pENTR™/D-TOPO® in accordance with the manufacturer’s instructions using the primers listed in Table 1.
The overexpression cassettes, obtained by digesting the plasmids with NotI, were used to transform individual strains via the lithium-acetate method . Transformants were selected utilizing YNB Ura, YNB Leu, or YNB medium, depending on their genotype, and their genomic DNA was prepared as described by Querol and colleagues . The primers used to verify expression cassette insertion are given in Table 1.
Restriction enzymes were obtained from OZYME (Saint-Quentin-en-Yvelines, France). PCR was performed using an Eppendorf 2720 thermal cycler; GoTaq DNA polymerases (Promega, Madison, WI, USA) were employed to verify the results and PyroBest DNA polymerases (Takara, Saint-Germain-en-Laye, France) were employed to carry out cloning. PCR and DNA fragment purification were performed as previously described . The amounts of DNA obtained were measured using MySpec (VWR, Fontenay-sous-Bois, France). All the reactions were performed in accordance with the manufacturer’s instructions. The sequencing of the cloned fragments was performed by GATC Biotech (Konstanz, Germany). Clone Manager software was used for the gene sequence analysis (Sci-Ed Software, Morrisville, NC, USA).
Forty ng/µL of each of the recipient plasmids was mixed with pENTR™/D-TOPO® containing the YFP or α-amylase gene. The transfer of the genes of interest was performed using LR Clonase® in accordance with the manufacturer’s instructions (Invitrogen, Saint-Aubin, France). The mixture was used to transform E. coli strain DB3.1. The resulting transformants were then pooled, and their DNA was extracted and digested before Y. lipolytica was transformed in turn.
Supernatant was obtained from cultures grown for 72 h in YNB, YPD, or YP2D4 media and was concentrated tenfold in 30 mM Tris (pH 8.0) and 50 mM NaCl using Amicon Ultra-0.5 10 K centrifugal filters (Merck Millipore Ltd, Ireland). Protein production was analyzed via polyacrylamide gel electrophoresis (SDS-PAGE); 4–12% Tris–Glycine gels and an XCell SureLock™ Mini-Cell electrophoresis system (Novex, Life Technologies, Saint-Aubin, France) were used. Prism (MW1; 19–130 kDa) and wide-range (MW2; 14–212 kDa) protein molecular weight markers were used as standards (VWR Chemicals, Fontenay-sous-Bois, France). The gels were stained with 0.2% Coomassie Brilliant Blue R dye (Thermo Fisher Scientific, Villebon-sur-Yvette, France).
Twenty-μL samples were analyzed for protein content using the Coomassie (Bradford) Protein Assay Kit (Thermo Fisher Scientific, Villebon-sur-Yvette, France) in accordance with the manufacturer’s instructions.
GA activity was measured as previously described , with the following modifications. Samples containing 40 μL of supernatant were incubated for 2–10 min with 1.8 mL of a 0.2% soluble cornstarch solution (30 °C, pH 5). The resulting glucose concentration was determined via high-performance liquid chromatography: an UltiMate® 3000 system (Dionex-Thermo Fisher Scientific, UK) with an Aminex HPX87H column coupled to an RI detector was used. The column was eluted with 0.01 N H2SO4 at room temperature and a flow rate of 0.6 mL/min. Identification and quantification were achieved via comparison to standards. Enzyme activity was expressed in U mL/L of supernatant, where one unit of GA activity (1 U) was defined as the amount of GA required to release 1 μmol of glucose per minute.
XlnC activity was determined using the EnzChek® Ultra Xylanase Assay Kit (Molecular Probes Invitrogen Ltd., Paisley, UK) in 30 mM Tris (pH 8.0) and 50 mM NaCl at 25 °C in a BioLector® (Biotek, Colmar, France). Prior to the assays, supernatant from cultures grown in YNB medium was diluted 50- and 100-fold, and supernatant from cultures grown in YPD or YP2D4 was diluted 500- and 1000-fold. As in the case of GA, one unit of XlnC activity (1 U) was defined as the amount of XlnC required to release 1 µmol of xylose per minute.
The growth of the Y. lipolytica strains was analyzed using a microtiter plate reader, as previously described . RedStar2 fluorescence and YFP fluorescence were analyzed at emission wavelength settings of 558 and 586 nm, respectively; the reception wavelength settings were 505 and 530 nm, respectively.
Images were acquired using a Zeiss Axio Imager M2 microscope (Zeiss, Le Pecq, France) and Axiovision v. 4.8 software (Zeiss, Le Pecq, France).
RNA extraction was performed using the RNeasy Mini Kit (Qiagen, Courtaboeuf, France) followed by DNA digestion with DNase I (RNase-free; New England BioLabs, Evry, France). cDNA synthesis was performed with the Maxima First Strand cDNA Synthesis Kit with dsDNase (Thermofisher Scientific, Courtaboeuf, France). PCR quantification was performed with CFX Connect™ Real-Time PCR Detection System (Bio-Rad, Marnes-la-Coquette, France) using the SsoAdvanced™ Universal SYBR® Green Supermix Kit (Bio-Rad, Marnes-la-Coquette, France). The number of XlnC mRNA copies was determined using the cycle threshold (Ct) values, which were standardized using results for the expression of the actin gene (YALI0D08272g); the number of XlnC mRNA copies found in the strain containing pTEF-XlnC was employed as a reference.
Results and discussion
RedStar2 expression varies with promoter strength
To examine how protein expression varied with promoter strength, we constructed seven promoters (see diagram in Fig. 1b). Two were conventional promoters: pTEF and hp4d. Four new hybrid promoters were generated by combining two, three, four, or eight UAS1 tandem elements taken from hp4d with the TEF promoter, yielding 2UAS1-pTEF, 3UAS1-pTEF, 4UAS1-pTEF, and 8UAS1-pTEF, respectively (Fig. 1b). We also created a derivative of the hp4d promoter by adding four supplementary UAS1 tandem elements, thus generating hp8d (Fig. 1b).
Based on previous studies, hp4d and pTEF should be the weakest promoters, while hp8d and 8UAS1-pTEF should be the strongest. All of these promoters were ligated into a JMP62-LEU2 plasmid containing the LEU2 marker and a long-terminal-repeat zeta element that allows random insertion in Y. lipolytica (Fig. 1a) . RedStar2 was used as a reporter system to measure promoter strength (Fig. 1c); it was chosen because the protein’s fluorescence is easy to detect and quantify in Y. lipolytica [35, 39, 40]. RedStar2 fluorescence was analyzed by microscopy (Fig. 2a) and using a Biotek BioLector® (Fig. 2b, c). Since all the strains showed similar growth patterns (Fig. 2c), their fluorescence levels could be compared. As expected, there was a correlation between putative promoter strength and strain fluorescence (Fig. 2a, b): the stronger the promoter, the greater the fluorescence. Therefore, the strains containing hp4d and pTEF had the weakest fluorescence, while the strains containing hp8d and 8UAS1-pTEF had the strongest fluorescence. Over time, the fluorescence of strains containing hp8d and 8UAS1-pTEF increased 2.3- and 5.3-fold compared to their respective controls, the strains containing hp4d and pTEF. Therefore, our results show that increasing the number of UAS1 tandem elements in hybrid promoters resulted in a gradual increase in RedStar2 expression levels (Fig. 2b), confirming the previous findings of Blazeck and colleagues [27, 28]. Thus, our seven promoters varied greatly in strength: there was a 29-fold difference between the weakest (pTEF: 4000 AU) and strongest promoter (php8d: 115,000 AU) (Fig. 2b).
Promoter strength affects xylanase C production but not glucoamylase production
We used GA and XlnC to examine how our promoters could be used to produce proteins of industrial interest. GA is used to degrade lignocellulosic materials, the starch in oligosaccharides, or glucose, and it can thus be used by microorganisms to produce biolipids, bioethanol, and other bioindustrial materials [30, 31, 41]. XlnC is a commonly used enzyme in bioprocesses in the paper, textile, and pet-food industries. Therefore, enhancing its production could be of great interest. GA and XlnC activity are also easy to measure (see refs. [42, 43] for GA and “Methods” section for XlnC), making them good candidates for examining the relationship between protein production and promoter strength. To facilitate our analyses (i.e., the visualization of the electrophoresis results and the interpretation of the enzyme assays), the preLip2 secretion sequence was added to the GA and XlnC genes. This sequence allows proteins to be secreted into the growth medium [6, 14, 30]. Both genes were cloned into different vectors containing the seven different promoters, which were subsequently used to transform Y. lipolytica. Cultures were then grown in three media—a defined medium, YNB; a rich medium, YPD; and a very rich medium, YP2D4—and the levels of secreted GA and XlnC were analyzed (Fig. 3; Additional file 4: Figure S2, Additional file 5: Table S2).
As expected, GA production varied with promoter strength and increased with medium richness (Additional file 4: Figure S2a–d). However, high production levels may or may not translate into high activity levels. To determine if there was a correlation between the two variables, GA activity was estimated by measuring the disappearance of starch and the appearance of glucose. Activity was found to be positively associated with production (Additional file 4: Figure S2e).
In contrast, XlnC production was not associated with promoter strength. Indeed, across all media, thicker bands were observed for strains containing 2UAS1-pTEF and, to a lesser extent, hp8d, whereas band thickness was equivalent for strains containing 3UAS1-pTEF, 4UAS1-pTEF, 8UAS1-pTEF, and hp4d (Figs. 3, 4a; Additional file 5: Table S2). The results were consistent when additional transformants were analyzed. Semi-quantitative PCR confirmed that only one copy of XlnC was inserted into the genome of the strain containing 2UAS1-pTEF (data not shown). Interestingly, we found that XlnC production was 2–4 times higher in the strain containing 2UAS1-pTEF than in the strains containing pTEF, 8UAS1-pTEF, and hp4d. In our experiment, in YP2D4, maximum XlnC production was about 153 mg/L. The strain containing 8UAS1-pTEF produced slightly more XlnC than the strains containing 3UAS1-pTEF and 4UAS1-pTEF when the yeasts were cultured in YNB. However, its levels of production were similar or lower when the yeasts were cultured in YPD or YP2D4. In various microorganisms, several bottlenecks in heterologous protein production have been identified; they include transcription, protein folding and glycosylation, translocation, signal peptide processing, and proteolysis [41–43]. Therefore, several hypotheses could explain why 2UAS1-pTEF was the best promoter for XlnC production. To evaluate if this result could be attributed to the 2UAS1-pTEF promoter resulting in higher levels of XlnC transcription, XlnC mRNA levels were analyzed using qRT-PCR (Fig. 5). However, mRNA levels were positively correlated with promoter strength. This result is consistent with those of a previous study , in which researchers observed that the production of an insulin precursor and of amylase was lower under the TEF1 promoter than under the TPI promoter even though their transcription was greater under the TEF1 promoter. However, it is possible that the use of promoters stronger than 2UAS1-pTEF could have resulted in excessive protein production, which could have negatively affected protein folding because of the titration of chaperon proteins and the saturation of secretion machinery, as found previously .
As for GA, we examined the correlation between XlnC production and activity (Fig. 4b). As expected, the WT strain, JMY2900, demonstrated no XlnC activity. Surprisingly, activity levels were not always associated with production levels, which could suggest that there was co-secretion of non-active or less-active forms of the enzyme. Although the two variables were correlated when the strains were grown in YNB, the correlation was weak or completely absent when the strains were grown in YP2D4 or YPD, respectively (Fig. 4a, b). For instance, the strain containing 3UAS1-pTEF had a production level similar to that of the strain containing 4UAS1-pTEF, but the former’s activity level was much lower. Indeed, its activity level resembled that of the strain containing pTEF. Interestingly, activity levels were 1.5–2 times higher than expected for the strains containing 2UAS1-pTEF and hp8d (Fig. 4b). Oddly, although these promoters increased protein production two to fourfold, compared to the strain containing pTEF, activity increased three to sixfold (Fig. 4a, b; Additional file 5: Table S2, Additional file 6: Table S3). These results underscore that enzyme expression, production, and activity are not always linearly related to promoter strength. Indeed, these relationships may vary and depend on the specific enzyme and growth medium used.
A gateway vector pool for selecting the best protein producer
Since promoter strength was not necessarily correlated with heterologous protein production, we decided to develop a method for rapidly identifying transformants with optimized production; we used a pool of vectors containing promoters that varied in strength. To simplify the approach, we employed a gateway system that allowed in vitro cloning and the counter-selection of the correct clone using CcdB toxicity. We constructed a derivative of the gateway plasmid JMP1529 described in Leplat et al. : JMP3030 (gateway-ClaI-pTEF-BamHI). Derivatives were constructed using ClaI-BamHI-based promoter exchange (Additional file 1: Table S1).
We analyzed the expression of YFP and secreted α-amylase (Fig. 6). Briefly, we first inserted the genes encoding YFP and α-amylase into pENTR™/D-TOPO®. We then transferred these genes into a pool of vectors using LR Clonase® (Additional file 7: Figure S3). After transforming Y. lipolytica, we analyzed 54 clones for YFP and α-amylase expression (Fig. 6). We found that some clones displayed higher activity levels than others—YFP activity was especially high for the E6, G10, and F8 clones (72,000 U; 48,000 U; and 41,000 U, respectively), and α-amylase activity was especially high for the C3, G3, E4, B6, B10, and F11 clones. Analysis of the promoters involved in the expression of these genes revealed that most of the clones contained a promoter that was stronger than pTEF (Table 2). Indeed, with the exception of G10, which contained pTEF, the clones contained hp4d, hp8d, 4UAS-pTEF, or 8UAS-pTEF. However, in some cases, it was difficult to identify the promoter since sequencing was impaired by the multiple UAS1 tandem elements and there was not enough differentiation among fragment sizes to use a PCR-based approach. Therefore, we have proposed two candidate promoters for B6 (α-amylase) and E6 (YFP). Using this method, we have identified several good producers for both enzymes, which shows that it could be very helpful to use a pool of plasmid vectors containing variable-strength promoters to obtain strains that have optimal activity levels.
Blazeck and colleagues [27, 28] developed very strong promoters to optimize protein expression in Y. lipolytica; however, these promoters were only used to produce intracellular proteins, such as fluorescent proteins, or in β-galactosidase assays. We constructed similar versions of these promoters (pTEF, 2UAS1-pTEF, 3UAS1-pTEF, 4UAS1-pTEF, 8UAS1-pTEF, hp4d, and hp8d) and analyzed their impact on the production of intracellular proteins, namely RedStar2 and YFP, as well as extracellular proteins, namely glucoamylase, xylanase C, and α-amylase (see summary in Table 3). We found that, most of the time, having the strongest promoter (8UAS-pTEF) resulted in the highest levels of protein production and activity (i.e., in the cases of RedStar2, glucoamylase, YFP, and α-amylase). However, the best promoters for xylanase C were 2UAS1-pTEF and hp8d. Our results show that stronger promoters do not always optimize protein production and activity. It could be that either transcriptional or post-translational regulation, such as RNA processing and stability, translation efficiency, or protein stability and modification [45, 46], places limits on this relationship. As a result, multiple promoters should always be tested. To limit clone number and keep the process simple, we developed a straightforward strategy for accomplishing this aim: exploiting a pool of vectors containing promoters of different strengths. Cloning was facilitated by using the gateway system and LR Clonase®. Indeed, in a single step, it was possible to obtain a collection of vectors containing variable-strength promoters upstream from the gene of interest. Once the study organism has been transformed, screening tests can be used to select the best strains. This approach could be very helpful to those seeking to improve protein production, whether in a research or an industrial setting. The pool should contain a decent number of promoters and include inducible promoters, which could be particularly important when dealing with toxic proteins.
yellow fluorescent protein
polymerase chain reaction
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RD: wrote the project proposal, designed the experiments, built some of the plasmids and strains, performed the RedStar2 experiment, performed the vector-pool experiment, analyzed the results, and wrote the manuscript; FB: built the different promoters as well as some of the plasmids and strains and performed the RedStar2 experiment; TD: wrote the project proposal; RLA: performed the test for GA activity; JV: built some of the strains and performed the vector-pool experiment; MT: quantified protein production and ran the related gels; ST: built some of the plasmids and strains; JM: wrote the project proposal and designed the experiments; CL: wrote the project proposal, designed the experiments, built some of the plasmids and strains, performed the RedStar2 experiment, quantified protein production, ran the related gels, performed the test for XlnC activity, carried out quantitative PCR, analyzed the results, and wrote the manuscript. All authors read and approved the final manuscript.
We thank the French government for giving us IDEX funding (Grant No 2015-0445I). R. Ledesma-Amaro received financial support from the European Union (Marie-Curie FP7 COFUND People Program: AgreenSkills Fellowship). We thank Jessica Pearce and Lindsay Higgins for their language editing services.
The authors declare that they have no competing interests.
Availability of data and materials
Data sharing is not relevant as no datasets were generated or analyzed during the current study.
C. Leplat received IDEX funding (Grant No 2015-0445I), which paid for all the experiments and J. Vion’s salary. R. Ledesma-Amaro received financial support from the European Union (Marie-Curie FP7 COFUND People Program: AgreenSkills Fellowship).
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Dulermo, R., Brunel, F., Dulermo, T. et al. Using a vector pool containing variable-strength promoters to optimize protein production in Yarrowia lipolytica . Microb Cell Fact 16, 31 (2017). https://doi.org/10.1186/s12934-017-0647-3
- Yarrowia lipolytica
- Protein production
- Hybrid promoters