Introduction
Natural and engineered yeast cell factories are today extensively used for commercial productions [16]. Based upon their innate metabolic abilities, yeasts have been employed since several decades for large-scale production of different natural compounds. In this respect, there are more than 600 yeast factories in operation in the world [4]. Furthermore, with the advent of recombinant DNA technology, it has become possible to introduce traits for the production of desired non-natural compounds: heterologous proteins and metabolites [30]. The scientific and technological platforms leading to the production of recombinant proteins seem under consolidation, with the exception of membrane proteins, with Escherichia coli and Saccharomyces cerevisiae being the two microbial workhorses mainly exploited for products under commercialization. Conversely, the production of heterologous and endogenous metabolites by engineered cell factories always and strongly suffers from extensive regulation of cellular metabolism, which easily evolves to ensure robustness. Indeed, the main research effort today is probably related to the design of robust and stable strains to match the limiting conditions often occurring during industrial fermentation. In this respect, central carbon metabolism (CCM), central nitrogen metabolism (CNM) and energy metabolism (EM, which includes redox metabolism), including their interconnections, play a crucial role for every microbial process and are emerging targets for eliciting profound cellular rewiring (see, as example, [11]).
Non-engineered S. cerevisiae strains are mainly addicted to monomeric hexose sugars as carbon source, glucose being the favorite one, while the spectrum of nitrogen sources is wider. CNM in S. cerevisiae [13,21,23] is based on five important enzymatic reactions (Fig. 1). The first is catalyzed by glutamate dehydrogenase 1 (Gdh1p), the GDH1 gene product, which converts α-ketoglutarate and ammonia in glutamate, oxidizing NADPH:
Another isoform of this enzyme is Gdh3p, encoded by GDH3; its expression is negatively regulated in the presence of glucose, and is induced in the presence of ethanol [10].
Fig. 1.Representation of central nitrogen metabolism in S. cerevisiae (redrawn from [23]).
The second reaction is catalyzed by glutamine synthetase (Gln1p – GS), the GLN1 gene product, which converts glutamate and ammonia in glutamine, consuming one ATP:
This is the sole reaction synthesizing glutamine in the cells; as a consequence, the lack of this enzymatic activity results in glutamine auxotrophic strains [23].
Glutamate dehydrogenase 2 (Gdh2p), the GDH2 gene product, catalyzes the reaction opposite to Gdh1p:
When glutamate is utilized as the sole nitrogen source, cells can obtain the required ammonia to synthesize glutamine only through the reaction catalyzed by Gdh2p [23].
Glutamate synthase (Glt1p, also named as GOGAT), the GLT1 gene product, converts α-ketoglutarate and glutamine into two molecules of glutamate, oxidizing NADH [23, 27]:
Finally, glutaminases A and B catalyze the deamination of glutamine to glutamate and ammonium [13,33].
In addition to regulations operating at the transcriptional level, the redox state of the cell contributes to determine the equilibrium among these reactions.
The main purpose of this work was to analyze the effects of modulation of one of the key elements of CNM. More in detail, we analyzed glt1Δ and GLT1 overexpressing CEN.PK strains during batch-flask growth on ammonium, glutamate, or glutamine, in aerobic conditions. To the best of our knowledge, this is the first description of the physiology of S. cerevisiae strains that exclusively modulate GLT1 expression.
Materials and Methods
S. cerevisiae Strains Construction
All the primers and S. cerevisiae strains employed and developed in this study are listed in Tables 1 and 2, respectively.
Table 1.Bold: sequence annealing to the genome. Italics: sequence annealing to the plasmid. Bold and italics (underlined): XmaI restriction site.
Table 2.aKindly provided by Dr. P. Kotter (Institute of Microbiology, Johann Wolfang Goethe-University, Frankfurt, Germany). bThis study.
The CEN.PK C control strain was obtained by transforming the reference strain CEN.PK 102-5B with the integrative plasmids pYX012, pYX022, and pYX042 (from R&D System, Wiesbaden, Germany).
The strain CEN.PK glt1Δ was constructed by deleting the first 1,650 bp of gene GLT1. First the KanMX4 cassette was amplified from the pFA6-a-KanMX4 [37] plasmid with the primers dGLT1 KAN FW and dGLT1 KAN REV2. Then the reference strain CEN.PK 102-5B was transformed and selected on YPD plates with 200 mg/l of G418. Deletion was verified by PCR with the pairs of primers dGLT1 CNTR FW 2 / KAN RV and KAN FW / dGLT1 CNTR RV 2, respectively.
The GLT1 overexpressing strain was created as described: the first 1,191 bp of the GLT1 genomic ORF was amplified by PCR, including the ATG starting codon, with primers GLT1_SMAI_FW and GLT1_SMAI_REV. Then, both the PCR product and the pYX042-ATG plasmid (R&D System) were XmaI digested and a ligation reaction was performed, resulting in plasmid pYX042-ATG [TPI-GLT1]. This plasmid was BglII digested inside the insert and, once linearized, the reference strain CEN.PK 102-5B was transformed with it. The proper recombination in the GLT1 locus was verified by PCR with primers TPICNTR_FW and GLT1CNTR_REV.
The strains CEN.PK GLT1-GFP and CEN.PK TPI-GLT1-GFP were created as follows: a fragment containing the genes GFP and HIS3 (separated by a linker) was amplified by PCR from pFA6a-GFP(S65T)-His3MX6 with the primers GLT1-GFP FW and GLT1-GFP RV. With this construct, strains CEN.PK 102-5B and CEN.PK TPI-GLT1 were transformed and selected on appropriate plates without histidine. Analytical PCR with primers GFP RW and D GLT1 cntr fw2 was performed on transformants to verify proper recombination.
When necessary, all the strains of this study were complemented to obtain the corresponding prototrophic strain with the integrative plasmids previously indicated.
All the transformations were performed according to the LiAc/PEG/ss-DNA protocol [12].
Media and Growth Kinetics
Yeast cultures were shake-flask grown in modified Verduyn medium [36] composed of 150 g/l glucose, vitamins and traces (1,000×), water, and saline solution at pH 5. The latter were prepared with 0.5 g/l MgSO4·7H2O and 3 g/l KH2PO4, and subsequently supplied with different nitrogen sources as follows: 15 g/l (NH4)2SO4 or 48.96 g/l glutamate or 18 g/l glutamine (corresponding to 30.6 mM of ammonium released); 2.5 g/l (NH4)2SO4 or 8.16 g/l glutamate or 3 g/l glutamine (corresponding to 5.1 mM of ammonium released). Pre-cultures were performedin minimal medium with 20 g/l glucose and 6.7 g/l yeast nitrogen base. Cells were inoculated at the starting optical density (OD660nm) of 0.05 in 250 ml flasks containing 50 ml of medium. Fermentations were performed at 30℃ under continuous shaking (160 rpm) and cellular growth was followed by measuring the OD660nm using the spectrophotometer UV-1601 (Shimadzu).
CFU Analysis
Cell viability was determined as follows: cells at 0.5 OD were serial-diluted 1,000 times and then 200 μl was plated in triplicates on YPD agar. Colony-forming units (CFU) were measured after 2 days of growth at 30℃.
Preparation of Soluble and Organelle-Associated Protein Extract
Cells in exponential phase of growth were washed twice with cold deionized water and resuspended in extraction buffer composed of 0.1 M potassium phosphate buffer (pH 7.5), 1 mM ethylenediaminetetraacetic acid (EDTA), 1 mM dithiothreitol (DTT), 1 mM protease inhibitor cocktail, and 1 mM phenylmethanesulfonylfluoride (PMSF). The cell suspension was subjected to three cycles of mechanical disruption with the FastPrep-24 (MP Biomedical). Cellular lysate was first centrifuged at 700 ×g f or 10 min at 4℃ to separate supernatants from glass beads and cellular debris and then at 20,817 ×g for 20 min at 4℃ to obtain the soluble protein fraction; the organelle-associated protein fraction in the pellet was solubilized by the detergent DS1 composed of 7 M urea, 2 M thiourea, 40 g/l 3-[(3-cholamidopropyl)dimethylammonium]-1-propanesulfonate (CHAPS), 60 mM DTT, and 20 mM 2-iodoacetamide (IAA). Protein concentration was estimated according to Bradford [3], using bovine serum albumin as the reference.
Enzymatic Assays
Glutamate synthase enzymatic assay was performed as previously described [7], slightly modified as follows: the reaction mixture (1 ml final volume) contained buffer phosphate 50 mM (pH 7), NADH 10 mM, α-ketoglutarate 50 mM, and the sample. To start the reaction, glutamine 100 mM was added. In parallel, this assay was repeated with azaserine 5 mM, a competitive inhibitor of Glt1p used as a control. NADPH glutamate dehydrogenase 1 and NADH glutamate dehydrogenase 2 activities were determined as previously described [15], slightly modified as follows: thereaction mixture (1 ml final volume) contained buffer phosphate 50 mM (pH 7), NADPH or NADH 10 mM, α-ketoglutarate 50 mM, and the sample. To start the reaction, ammonium chloride 100 mM was added. For all the assays, NADH (or NADPH) oxidation was monitored by following the decrease in absorbance at 340 nm for 10 min. The ΔOD/min was obtained using the maximum linear rate of the reaction. One unit (U) was defined as the amount of enzyme that oxidized 1 nmol of NADH (or NADPH) in one minute. Glutamine synthetase activity was determined according to Kingdon et al. [20].
Flow Cytometry Analysis
Experiments were carried out with the Beckman Coulter CYTOMICS-FC 500. For propidium iodide (PI) staining, an amount of cells corresponding to 0.2 OD was washed with 1× PBS and then with Tris-HCl 50 mM / MgCl2 1 5 mM ( pH 7 .7) buf f er. Subsequently, cells were resuspended in 1 ml of PI 0.23 mM (dissolved in Tris-HCl 50 mM / MgCl2 15 mM, pH 7.7). After 20min of incubation on ice and in t he d ark, s amples w ere analyzed with excitation wavelength at 535 nm and emission wavelength at 617 nm.
For DHR123 (dihydrorhodamine 123) and PI double-staining experiments, samples were prepared as previously described [5] but modified as follows: cells at 0.2 OD were washed and resuspended in 1 ml of 1× PBS. Samples were incubated at 30℃, in t he d ark, a t 160 rpm f or 2 h in t he p resence of 5 μg/ml of DHR123 and 2 mM of hydrogen peroxide. Cells were washed with 1× PBS, then with buffer Tris-HCl 50 mM / MgCl2 15 mM (pH 7.7), and finally resuspended in 1 ml of 5× PI. Samples were analyzed with excitation wavelength at 535 nm for PI and 500 nm for DHR123 and emission wavelength at 617 nm and 536 nm, respectively.
For FITC (fluorescein isothiocyanate) experiments, cells at 2 OD were resuspended in 1 ml of cold ethanol 70% ( v/v), and incubated for 15 min at −20℃ f irst and then f or 20 min at 4℃. Then 100 μl of the cellular suspension was washed once with 1× PBS, resuspended in a FITC solution 5 ng/ml (dissolved in NaHCO3 50 μg/ml), and incubated in the dark on ice for 30 min. Samples were analyzed with excitation wavelength at 495 nm and emission wavelength at 519 nm.
The data obtained from all the experiments were analyzed with the software Cyflogic ver. 1.2.1.
Fluorescence Microscopy
Culture samples of strains CEN.PK GLT1-GFP and CEN.PK TPI-GLT1-GFP, corresponding to 0.5 OD, were washed once with 1× PBS, and then resuspended in 30 μl of 1× PBS and observed under the fluorescence microscope Nikon ECLIPSE 90i (Nikon), using the 100× objective. Images were acquired using CoolSnap CCD camera and then analyzed with the software Metamorph 6.3.
Results
Growth of Wild-Type, glt1Δ, and GLT1 Overexpressing Strains on Media Containing (NH4)2SO4, Glutamate, or Glutamine
To characterize the effects of internal and external modulations in one of the key enzyme (glutamate synthase, encoded by GLT1) of the CNM on the growth properties of S. cerevisiae, we grew the wild type CEN.PK C, the CEN.PK glt1Δ, and the CEN.PK TPI-GLT1 strains in flask-batch culture on (NH4)2SO4, glutamate, or glutamine as the nitrogen source. The nitrogen source was supplied at two different sets of concentrations, normalized to release 5.1 or 30.6 mM of NH4+ (see Materials and Methods), to evaluate the effects of a low and a very high nitrogen amount on cellular growth; in particular, 30.6 mM is the highest possible concentration based on maximum glutamine solubility. Glucose was always supplied at 150 g/l, reported as the maximum concentration beyond which growth inhibition occurs [26]. A high glucose concentration was selected since this is the condition very often applied when yeasts are employed as cell factories for the industrial production of biobased chemicals.
As initial control, we determined the activity of Glt1p for cells in exponential phase of growth in aerobic conditions. Since Glt1p localization is still dubious [25], the enzymatic assay was performed on both soluble and organelle-associated protein fractions, but the activity was detectable only in the first one. Data are summarized in Fig. 2. In agreement with literature data [35], the activity appeared only slightly down-regulated for wild-type strains growing in glutamate and glutamine, when compared with cells growing on ammonium (black columns). GLT1 overexpression was functional, as confirmed by fluorescence microscope observation of CEN.PK GLT1-GFP and CEN.PK TPI-GLT1-GFP (data not shown) and by the higher measured activity (Fig. 2, white columns), but with no significant differences among the different nitrogen sources.
Fig. 2.Glutamate synthase activity tested on the soluble protein fraction of CEN.PK C (black columns), CEN.PK glt1Δ (grey columns), and CEN.PK TPI-GLT1 (white columns). Values represent the average and the standard deviation of three independent experiments (*p ≤ 0.01; #p ≤ 0.05, Student’s t-test).
Notably, both the deletion and the overexpression of the GLT1 gene did not determine remarkable differences on the growth profiles (data not shown). The observed differences are essentially ascribable to the different nitrogen source. As a representative example, Fig. 3 shows the growth kinetics of the wild-type CEN.PK C strain during aerobic growth on low (Panel A) or high (Panel B) nitrogen concentration. Yeast cells reached the highest optical density in the presence of high quantities of glutamine, whereas the lowest OD was obtained in the presence of ammonium sulfate. Moreover, when glutamate was supplemented, cells showed different trends of growth depending on the amino acid concentration, growing significantly faster when it was supplied at the lower concentration (Panel A versus Panel B).
Fig. 3.Growth curve of CEN.PK C strain (representative also for the GLT1-deleted and -overexpressing strains) cultivated in aerobic conditions and supplemented with ammonium sulfate (circle), glutamate (triangle), or glutamine (square), which were supplied to release (A) 5.1 mM or (B) 30.6 mM of ammonium. Results are the average and the standard deviation of three independent experiments.
Forward Scatter and Protein Content of Wild-Type, glt1Δ, and GLT1 Overexpressing Strains during Growth on (NH4)2SO4, Glutamate, or Glutamine
For all the experiments described in the rest of the paper, the wild-type CEN.PK C, the CEN.PK glt1Δ, and the CEN.PK TPI-GLT1 strains were grown in aerobic conditions in flask-batch culture on ammonium, glutamate, and glutamine supplied to release 30.6 mM of ammonium, as described in Fig. 3B. For cells harvested both in the exponential and stationary phases of growth, we determined the cell protein content and the cell volume at the single cell level by flow cytometry (Fig. 4). The first parameter was estimated using FITC, a typical marker of proteins [24] that binds their N-terminal amine group, while the cell volume is related to forward scatter signal (FSC). Indeed this parameter measures the light scattered when each cell passes through the laser beam, providing a measurement that is related to cell shape, cell orientation, and cell volume.
Fig. 4.Protein content evaluated in the (A) exponential or (B) stationary phase of growth, measured considering the average of FITC associated fluorescence, and average FSC evaluated in the (C) exponential or (D) stationary phase of growth. Strains shown are CEN.PK C (black columns), CEN.PK glt1Δ (grey columns), and CEN.PK TPI-GLT1 (white columns). Nitrogen sources were supplied to release 30.6 mM of ammonium. Results represent the average and the standard deviation of three independent experiments (*p ≤ 0.01; #p ≤ 0.05; Student’s t-test).
As for the data described in the previous paragraph, remarkable differences are ascribable to the different media and not to the modulation of GLT1. The lower FITC and FSC signals were registered during growth on glutamine, and the higher FSC signals for cells grown in glutamate-supplemented medium (Fig. 4). This indicates that the cell dimension is minimal when cells are growing in the presence of glutamine and maximal in the presence of glutamate, under the tested conditions. Independently from the nitrogen source, both cell sizes and cell volume contents tend to increase in the stationary phase of growth (Panels B-D).
PI and ROS Accumulation in Wild-Type, glt1Δ, and GLT1 Overexpressing Strains during Growth on (NH4)2SO4, Glutamate, or Glutamine
The potential of the flow cytometry platform was utilized to determine the viability and reactive oxygen species (ROS) accumulation at the single cell level. Cells in the exponential and stationary phases of growth were first stained with propidium iodide, a marker for determining injured/dead cells [14]. In the exponential phase of growth, no big differences were observed among the strains or media (Fig. 5A), and the fraction of PI-positive cells was very low. Remarkably, in the very late stationary phase, positivity to PI was particularly high for cells grown in the presence of ammonium sulfate, diversely to the data obtained for cells growing in the presence of glutamate and glutamine (Fig. 5B). Notably, in the presence of glutamine, the PI signals were higher than in the presence of glutamate, with CEN.PK TPI-GLT1 being the most PI-positive strain (Fig. 5B).
Fig. 5.PI accumulation in the (A) exponential and (B) late stationary phases of growth, measured as the percentage of PI-positive cells, for the strains CEN.PK C (black columns), CEN.PK glt1Δ (grey columns), and CEN.PK TPI-GLT1 (white columns). Values represent the average and the standard deviation of three independent experiments (*p ≤ 0.01; #p ≤ 0.05; Student’s t-test).
Considering that significant changes in viability have been observed in the different conditions, we sought to determine whether a correlation with ROS accumulation could exist. Therefore, the three strains of this study were challenged with H2O2 for triggering ROS production and accumulation inside the cells that were subsequently double stained, as previously reported [5], with both PI and DHR123 (see Materials and Methods). The uncharged and non-fluorescent DHR123 passively diffuses across membranes into the cell where, in the presence of ROS, it is oxidized to cationic Rhodamine 123, its fluorescent counterpart, through the Fenton reaction [19,22].
Fig. 6A shows the DHR123 versus PI cytogram for unchallenged cells. Each dot represents a single cell. The low DHR123 and low PI signals are indicative of a healthy growing yeast population (Panel A, circle with continuous line). Challenging the cells in the exponential phase of growth on ammonium sulfate (control - Panel B) or glutamine (Panel C) for 2 h with H2O2 resulted in a yeast population completely ROS positive (circle with double line), also independently from GLT1 modulation. Furthermore, some of the cells showed a very strong PI signals (circle with dotted line) compared with the unstressed ones. As described above, similar results have been obtained independently from the genetic background of the yeast strain (CEN.PK C, CEN.PK glt1Δ, and CEN.PK TPI-GLT1), indicating that the observed patterns are only nitrogen source dependent. Differently, challenging cells in the exponential phase of growth in glutamate medium resulted in two clear distinct subpopulations, one ROS positive and the other negative (Panels D–F). Also in this case, in each cytogram it is possible to identify some yeast cells with higher PI signals than the unstressed ones, independently from the genetic background. A comparative analysis indicated that the highest fraction of DHR123-positive cells was observed in the CEN.PK glt1Δ strain (~40%, versus ~24% and ~21% for the wild-type and CEN.PK TPI-GLT1 strains, respectively; Panels D–F).
Fig. 6.PI and cellular ROS accumulations for samples harvested in the exponential phase of growth and shocked for 2 h with 2 mM of hydrogen peroxide. (A) Typical dot plot of untreated cells. (B) Typical dot plot of shocked cells in the presence of ammonium sulfate. (C) Typical dot plot of shocked cells in the presence of glutamine. (D, E, F) Dot plots of shocked CEN.PK C, CEN.PKglt1Δ, and CEN.PK TPI-GLT1 strains in the presence of glutamate. The circle with continuous line indicates cells in a healthy state, the circle with dotted line PI-positive cells, and the circle with double line DHR123-positive cells. Each panels show the average percentage values of two independent experiments.
Overall, flow cytometric data confirmed a pro-active role of glutamate in preventing the accumulation of ROS, probably with glutamate required for the synthesis of glutathione [28], one of the main radical scavengers in S. cerevisiae. Indeed, it has been shown that the supply of glutamate for glutathione biosynthesis was likely to be a factor affecting ROS accumulation and cell death in yeast [29]. Furthermore, it has to be mentioned that an involvement of the GABA pathway, starting from glutamate, has been described in the literature to be associated with scavenging properties against ROS [6,8].
CNM Enzymatic Assays
The activities of the four CNM enzymes (Glt1p, Gln1p, Gdh2p, and Gdh1p) were then determined in wild-type CEN.PK C and CEN.PK TPI-GLT1 strains. Gln1p, Gdh2p, and Gdh1p localization is cytosolic [25] and, therefore, only the soluble protein fraction was considered for assays. Data are summarized in Fig. 7.
Fig. 7.Activities of enzymes of central nitrogen metabolism, tested on the soluble protein fraction of CEN.PK C (black columns) and CEN.PK TPI-GLT1 (white columns), cultured in media with the indicated nitrogen source. (A) Glutamate synthase activity. (B) Glutamine synthetase activity. (C) Glutamate dehydrogenase 2 activity. (D) Glutamate dehydrogenase activity. Nitrogen sources were supplied to release 30.6 mM of ammonium. Values represent the average and the standard deviation of three independent experiments (*p ≤ 0.01; #p ≤ 0.05; Student’s t-test).
Results show that GLT1 overexpression led to an effectively higher Glt1p activity compared with the parental strain (CEN.PK C), independently from the media (Panel A). However, this perturbation does not affect the other three enzymatic activities (Panels B-D). Indeed, values tend to be similar between the two strains. Nevertheless, significant changes in activity values could be noticed comparing the three media, independently from the genetic background. Both Gln1p (Panel B) and Gdh2p (Panel C) activities were lower in glutamine medium than in glutamate one, whereas, despite present, this reduction was not statistically relevant for Gdh1p (Panel D) activity. Comparing ammonium sulfate versus glutamine, only Gln1p activity (Panel B) was significantly higher in the presence of the first nitrogen source. Finally, despite that all the activities tend to be slightly lower in the presence of ammonium sulfate than in glutamate medium, only the Gdh2p activity of the CEN.PK TPI-GLT1 strain was significantly reduced (Panel C). Trying to find a possible explanation, we speculated that GLT1 overexpression might increase glutamate levels that in turn, as a direct substrate of Gdh2p, could raise its activity. Therefore, in the presence of this amino acid, this effect might be even stronger. Furthermore, considering that the transcription factor Gln3p in the presence of glutamate can cross the nuclear membrane, stimulating CNM genes expression [23,31,35,39], all the activities were generally increased in the presence of this nitrogen source. On the contrary, since glutamine is a strong activator of the TOR pathway (target of rapamycin), which indirectly prevents the expression of all the four genes [9,21,27,39], CNM activities (but in our case with the exception of Glt1p) tend to be very low compared with glutamate medium, significantly in the case of Gln1p and Gdh2p (Panels B and C).
Discussion
S. cerevisiae is one of the successful workhorses for industrial applications (see also Introduction). This yeast is able to metabolize a wide variety of nitrogen sources via enzymatic reactions that are indirectly linked in a network of physiological responses. These responses and their regulations are crucial to the yeast for optimizing the exploitation of the environment and are therefore crucial to improve the biotransformation of protein-rich raw materials, such as whey or exhausted biomasses derived from fermentation processes [1,17]. Indeed, the replacement of petrochemistry-based transport fuels and bulk chemicals by yeast industrial biotechnology requires cost-effective fermentation processes, where yields of substrate conversion into product must approach the maximal theoretical values.
Only very few manuscripts looking over the engineering of the central nitrogen metabolism of S. cerevisiae have been published [25,27,32,38]. In all these works, the redox intracellular status was unbalanced to decrease glycerol levels and to increase the ethanol production in aerobic or anaerobic batch, using ammonium sulfate as a sole nitrogen source. To reach this purpose, GLT1 has always been overexpressed, with a contemporary deletion of GPD1 and GPD2 (encoding for glycerol-3-phosphate dehydrogenases) [38], or with an additional GDH1 deletion and GLN1 overexpression [25,27,32]. Improvements in terms of ethanol yield and production have been reached in some cases [27,38], but the ethanol productivity resulted negatively affected by the reduced specific growth rate of the strains.
To focus the attention on the GLT1 contribution in the CNM, we analyzed the effects of GLT1 modulation by growing wild-type, glt1Δ, and GLT1 overexpressing strains under different physiological conditions. To the best of our knowledge, this work is the first describing the physiology of S. cerevisiae strains exclusively modulating the GLT1 expression.
At the cellular level, almost all nitrogen sources are catabolized to glutamate, which plays a key role in the direct biosynthesis of all the others amino acids, except for asparagine and tryptophan, which are synthesized starting from glutamine [21]. In the experiments, high or low ammonium sulfate (as control), glutamate, or glutamine concentrations have been used. Furthermore, a high glucose concentration (150 g/l) has been chosen with a double purpose; on the one hand to balance and support the high nitrogen supply and on the other hand to simulate a condition often applied for industrial yeast fermentations. It is important to underline that such concentration is undoubtedly high for typical laboratory scale experiments and it could furthermore cause glucose repression on different genes, including those of the CNM. For example, an implication of Snif1p kinase, one of the major cytoplasmic glucose sensors, has been discovered in the regulation cascade of GLT1 expression [34]. High glucose concentrations can inactivate this kinase [18], which, in turn, prevents Gln3p nuclear accumulation [2]. Consequently, it is important to consider that in the presented experimental setting the expression of genes controlled by this transcription factor, as GDH1 [31], GDH2, and GLN1 [23], could be affected by such high glucose concentration.
Data obtained indicate that a different GLT1 background does not interfere with the growth properties of the strains when cultivated on ammonia, glutamate, or glutamine as nitrogen sources, even if in the overexpressing strain the Glt1p activity is greatly enhanced compared with the control strain. However, as an important exception, the GLT1 overexpressing strain was less viable only in the presence of glutamine as nitrogen source. These data taken together confirm and highlight the robustness of the CNM of yeast against internal perturbation, and at the same time its plasticity with respect to the environment. Indeed, a strong modulation of yeast growth is obtained by using different nitrogen sources. The highest biomass productions are obtained by formulating media with glutamine, whereas glutamate confers higher cellular viability and robustness compared with the other media.
Considering the strong metabolic dependency of the two amino acids at the CNM node (see Fig. 1), a difference between glutamate and glutamine (as shown in Fig. 6) was not trivial to anticipate. This difference suggests a proactive role of glutamate to guarantee a generally higher cellular robustness. Nevertheless, data shown in Fig. 6 (Panels D–F) clearly indicate that with this nitrogen source, two distinct yeast subpopulations, which react to the external stressor in a very different way, appear. Moreover, one subpopulation can easily prevent the formation of ROS species. In this respect, GLT1 deletion seems to have a negative consequence, since it doubles (from ~24% to ~40%) the fraction of cells accumulating ROS. Diversely, there is no variation in the abundance of this subpopulation when GLT1 is overexpressed. Currently, we do not have speculations for the interpretation of the data. However, it can be anticipated that understanding these aspects might foster the design of much robust yeast cell factories. Finally, when cells are supported with ammonium sulfate-based medium (the nitrogen source mainly used at laboratory level), the lowest optical density associated to the lowest viability is observed. This needs to be taken into account when results obtained at laboratory scale are important for speculating about industrial scale-up, and opens further consideration on media formulation.
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