Enzymes have evolved with highly specific values of their catalytic parameters kcat and KM. This poses fundamental biological questions about the selection pressures responsible for evolutionary tuning of these parameters. Here we are address these questions for the enzyme adenylate kinase (Adk) in eukaryotic yeast cells. A plasmid shuffling system was developed to allow quantification of relative fitness (calculated from growth rates) of yeast in response to perturbations of Adk activity introduced through mutations. Biophysical characterization verified that all variants studied were properly folded and that the mutations did not cause any substantial differences to thermal stability. We found that cytosolic Adk is essential for yeast viability in our strain background and that viability could not be restored with a catalytically dead, although properly folded Adk variant. There exist a massive overcapacity of Adk catalytic activity and only 12% of the wild type kcat is required for optimal growth at the stress condition 20°C. In summary, the approach developed here has provided new insights into the evolutionary tuning of kcat for Adk in a eukaryotic organism. The developed methodology may also become useful for uncovering new aspects of active site dynamics and also in enzyme design since a large library of enzyme variants can be screened rapidly by identifying viable colonies.
Citation: Tükenmez H, Magnussen HM, Kovermann M, Byström A, Wolf-Watz M (2016) Linkage between Fitness of Yeast Cells and Adenylate Kinase Catalysis. PLoS ONE 11(9): e0163115. https://doi.org/10.1371/journal.pone.0163115
Editor: Beata G. Vertessy, HUNGARY
Received: April 19, 2016; Accepted: September 3, 2016; Published: September 19, 2016
Copyright: © 2016 Tükenmez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This work was financially supported by the Swedish Research Council (grants 621-2013-5954 to M.W.W. and 621-2012-3576 to A.B.). A.B. was also supported by the Swedish Cancer Foundation (13 0301) and Karin and Harald Silvanders Foundation (223-2808-12).
Competing interests: The authors have declared that no competing interests exist.
Enzymes are remarkable bio-catalysts that can tremendously increase rates of otherwise slow cellular chemical reactions, thereby making them significantly faster than global processes, such as cell division, in living organisms Thus, for example, the estimated rate enhancement of the isomerization of (R)-mandelate to (S)-mandelate by mandelate racemase is 1.7x1015-fold . Traditionally, catalytic parameters (kcat and KM) are obtained from data gathered from in vitro experiments, such as spectroscopic observations of substrate depletion and accumulation of product molecules . During the last decade NMR spectroscopy has added significant insights regarding the importance of dynamics (the time-dependent displacement of atomic coordinates) for enzymatic reaction cycles [3–8]. Several techniques, including NMR [9–11] and fluorescence microscopy , have also provided significant advances in analyses of proteins in their native environments inside living cells. This has enabled exploration of fundamental issues regarding, for instance, mechanisms allowing maintenance of enzymes’ functionality in the highly complex internal environments of living cells, where numerous variables could potentially affect their activities, such as macromolecular crowding, weak transient interactions and associated effects on translational diffusion .
However, the approaches mentioned above cannot address fundamental biological questions regarding the selection pressures responsible for evolutionary tuning of enzymes’ catalytic parameters, kcat and KM. To address these questions we have developed an approach where we examine changes in relative fitness (obtained from growth rate constants) of yeast (Saccharomyces cerevisiae) cells expressing Escherichia coli adenylate kinase (Adkeco) variants with precise perturbations of the enzyme’s kcat and KM values for ATP turn-over (). The approach is conceptually related to a previous study where yeast cell growth rates were analyzed in the context of ubiquitin stability . It has been shown in a prokaryotic organism (E. coli) that there exist a large catalytic overcapacity of β–galactosidase activity  such that the relative fitness under limiting lactose concentrations is only affected when the catalytic activity of β–galactosidase is significantly impaired. In the present study we investigate the relative fitness of an eukaryotic organism in response to variations of the catalytic activity ofthe essential enzyme adenylate kinase (Adk).
Adk catalyzes the reversible and magnesium-dependent interconversion of ATP and AMP to two ADP molecules () and is required for maintenance of the cellular energy balance. The structural basis for Adkeco has been extensively explored and there exist structures of substrate-free open  (Fig 1A) and also inhibitor bound closed structures  (Fig 1B). Likewise, the role of dynamics for the catalytic function of Adkeco has been studied extensively. It has been shown with NMR [18, 19] and single molecule FRET experiments   that the substrate-free enzyme transiently samples a “bound-like” structural state. Adkeco is rate limited by substrate release and the microscopic explanation to this property is slow opening of the substrate binding domains in presence of bound substrate [7, 21]. Yeast was chosen as the eukaryotic model organism since robust tools are available for analyzing genes encoding mutated proteins . Yeast cytosolic adenylate kinase (Adk1yeast) was selected as a target enzyme for the following reasons: absence of the enzyme is detrimental for yeast growth [23–25], crystallographic structures of the enzymes in yeast  and E. coli  have been determined (Fig 2), abundant information regarding catalytic properties of variants of the E. coli homologue (Adkeco) is available [19, 27], and there is substantial (47%) sequence identity between Adkeco and Adk1yeast , which is reflected in very similar three dimensional structures, with a root mean square deviation of 1.3 Å computed over Cα atoms (Fig 2). On basis of the above mentioned features of both yeast as a model organism and Adk as a model enzyme, we developed a yeast cell based approach to address the evolutionary constraints of Adk catalytic parameters in context of fitness of an eukaryotic organism.
(A) Structure of the open and substrate free conformation of Adkeco  (4AKE.pdb). Positions mutated in this study are indicated with ball and stick representations and colored in gold. (B) Crystallographic structure of Adkeco in the closed and active conformation  (1AKE.pdb). The inhibitor Ap5A  is displayed with a ball and stick representation.
The stereo-view was made by superposition of Cα atoms of Adk1yeast  (2AKY) and Adkeco  (1AKE.pdb). The inhibitor Ap5A  is displayed with a ball and stick representation. Adk1yeast and the corresponding Ap5A molecule is colored blue while Adkeco with its corresponding Ap5A molecule is colored red.
Strains, media and genetic procedures
The sources and genotypes of yeast and bacteria strains used in this study are listed in S1 Table. The yeast transformations , media and genetic procedures applied have been previously described . The heterozygous strain UMY3969 (ADK1/adk1::kanMX) was generated from the diploid strain UMY3387 (ADK1/ADK1) by exchanging one of the ADK1 open reading frames with the KanMX cassette. Strain UMY3969 was allowed to sporulate and tetrad analysis showed that adk1Δ strains were inviable. Diploid strain UMY3969 (ADK1/adk1::kanMX) was transformed with pRS316-ADK1 followed by sporulation to obtain haploid strain UMY3974 (adk1::kanMX + pRS316-ADK1).
A SacI-BamHI fragment containing a wild type yeast ADK1 open reading frame together with 600 bp upstream and 555 bp downstream regions was cloned into corresponding sites of either a LEU2-based low-copy number vector (pRS315) or a URA3-based low-copy number vector (pRS316), generating pRS315-ADK1 and pRS316-ADK1. To clone the E. coli adk gene under control of the yeast ADK1 promoter, we first PCR-amplified the 600 bp upstream region (as a SacI-XbaI fragment) and the 555 bp downstream region (as an XbaI-BamHI fragment) and cloned them together into the SacI and BamHI sites of the pRS315 vector, generating pRS315-Up-XbaI-Down. In this construct, the yeast ADK1 open reading frame is exchanged with an XbaI restriction site. To obtain pRS315-adkeco, a DNA fragment encoding the wild-type E. coli adk open reading frame was PCR-amplified and exchanged with the XbaI site in pRS315-Up-XbaI-Down using the infusion cloning procedure (Clontech). To obtain kcat mutant versions of the E. coli adk gene, pRS315-adkeco was used as a template and mutations were introduced by PCR oligonucleotide-directed mutagenesis.
Plasmid shuffling system
Strain UMY3974 (MATa leu2-3, 112 trp1-1 can1-100 ura3-1 ade2-1 his3-11, 15 SSD1v-1 adk1::kanMX + pRS316-ADK1) was transformed with pRS315 containing E. coli adk variants encoding Adkeco with a range of kcat values (Table 1). Transformants were selected on synthetic complete medium lacking uracil and leucine (SC-Ura-Leu) at 30°C. Three individual colonies from each transformation were incubated overnight in SC-Leu medium at 30°C. Serial dilutions of the saturated overnight cultures were plated on SC-Leu and SC-Leu+5-FOA (1 mg/ml) medium then incubated at 30°C. All mutants surviving the plasmid shuffling were streaked on SC-Ura and SC-Leu+5-FOA plates to confirm absence of the URA3-based pRS316-ADK1 vector. Plasmids from these surviving mutants were isolated and sequenced to confirm the mutations.
Protein extraction and western blotting
Cells were cultivated logarithmically at 20°C until their optical density reached 0.5 at 600 nm and 5 OD-units of cells were harvested using a previously described TCA protein extraction procedure . Proteins were separated by 12% SDS-PAGE and transferred to nitrocellulose membranes. To detect Adkeco proteins, a rabbit polyclonal anti-Adkeco (Karuso, 14EF 34) antibody was used (Agrisera, Sweden). Actin was detected using a mouse anti-Act1 antibody (Thermo Scientific). Protein levels were quantified using ImageJ software. Act1 protein levels were used as loading controls and protein levels of the Adkeco variants were normalized according to wild-type .
Protein expression and purification
Adk variants were produced, 15N-enriched and purified as previously described . and did not bind to Blue Sepharose so the flow-through was loaded on a Q-Sepharose column and these variants were eluted as previously described .
Coupled ATPase assay
Adk activity was quantified at 20°C in the direction of ADP formation with a coupled ATPase assay as outlined previously . The assay couples ADP production to oxidation of NADH through the activity of pyruvate kinase and lactate dehydrogenase. Pyruvate kinase catalyzes the conversion of ADP and phosphoenolpyruvate to pyruvate and ATP. Lactate dehydrogenase in turn catalyzes the conversion of pyruvate and NADH to lactate and NAD+. The assay was performed in a buffer consisting of 80 mM KCl, 2mM MgCl2 and 100 mM Tris at pH 7.5. The constituents used for the coupled reactions were phosphoenolpyruvate present at 0.4 mM and NADH present at 0.2 mM. The AMP concentration was held constant at 300 μM which is well above the value of Adkeco that previously was found to be 26 μM . 1.1–43 nM of Adk variants were used in the reactions. The consumption of NADH was quantified by following the change in absorbance at 340 nm and by using an extinction coefficient of 6220 M-1 cm-1. The corresponding time-dependent ATP consumption (V in S1 Fig) is related to the half the change in NADH concentration since two ADP molecules is produced for each ATP molecule consumed. Care was taken to verify that sufficient amounts of pyruvate kinase and lactate dehydrogenase were present such that the NADH oxidation was limited by Adk catalysis. Reagents were purchased from Sigma-Aldrich. Catalytic parameters, kcat, and , were obtained through fits of initial velocities (V) in response to variation of the ATP concentration ([S] in Eq 1) to the Michaelis-Menten equation: (1)
Since AMP is held at a constant concentration the reported values should be treated as apparent KM values. The catalytic parameters of the variants I116G and K13Q were taken from the previous studies  and , respectively.
NMR spectra were acquired on a Bruker 850 MHz Avance III HD equipped with a 5 mm TCI cryoprobe (Bruker Biospin) or a Bruker 500 MHz Avance III equipped with a 5 mm TBI probe. The samples contained 100–400 μM 15N-labeled Adk in a buffer consisting of 10% (v/v) 2H2O, 50 mM NaCl and 30 mM MOPS at pH 6.0.
Far ultraviolet circular dichroism (CD) experiments were performed on a Jasco J-810 spectropolarimeter. Thermal unfolding was followed by monitoring the CD signal at 220 nm in a 1 mm cuvette with a scan rate of one degree min-1. Protein concentrations in the CD experiments were 15 μM in a buffer consisting of 10 mM sodium phosphate and 50 mM NaCl at pH 7.0. Melting temperatures (TM) were quantified with non-linear fits (Microcal Origin) of CD-data to a two-state transition .
Results and Discussion
Design of Adk variants
To enable a test of yeast growth rates in response to variation in the kcat of Adk we designed a set of mutations that has a logarithmic coverage of this crucial catalytic parameter (Fig 3). Activity was determined at 20°C and since the only variant that displayed reduced yeast growth rates at 30°C (see below) was the essentially catalytically dead Adkeco variant K13Q, 20°C is an appropriate temperature for activity measurements. First we determined kcat and of yeast Adk1 and compared these values to published values of Adkeco parameters. It was found that the values are very similar for the two enzymes (Table 1 and S1 Fig) but that there is a sizable difference in the kcat values that are of 305±12 s-1 for Adkeco and 520±32 s-1 for Adk1yeast. Thus replacement of Adk1 for Adkeco in the experimental approach described below will in fact represent a data point where kcat is 59% compared to the yeast wild-type. The remaining variation in kcat relative to yeast Adk1 was accomplished through point mutations and in one case an insertion of 11 amino acids into Adkeco. For clarity, the variants of Adkeco are denoted , where “x” indicates the kcat value relative to that of wild-type E. coli Adkeco (hereafter denoted ). For instance Adkeco, with a T163C amino acid substitution (for which the kcat is 47% of the value) is denoted . The identity of the mutations and the kcat values associated with the Adkeco variants used in this study are summarized in Table 1. Displays of the kinetic traces for the unique variants analyzed in this study are displayed in S1 Fig.
Structure and stability of Adk variants
To interpret the results purely in terms of effects of kcat and perturbations it was important to confirm that the tested mutations did not cause potentially confounding effects on the structural integrity and stability of the variants. Therefore, we investigated the structural integrity of all Adk variants used in this study with two-dimensional heteronuclear high-resolution NMR spectroscopy. All variants display well-dispersed 1H-15N HSQC spectra as shown for Adkeco and Adk1yeast in Fig 4, showing that the mutations (S2 & S3 Figs) do not cause any global structural perturbations to the enzymes and that the variants only have local structural differences related to the individual amino acid replacements (and in one case insertion of 11 amino acids). From a stability perspective it was essential for the melting temperatures (TM) to be well above the cultivation temperatures to be used in the yeast growth experiment (20°C– 30°C) to ensure that the proteins were properly folded under the experimental conditions. Circular dichroism spectroscopy demonstrated that the TM of all variants are well above the temperature interval used in the growth experiments (Fig 5). Thus, all variants fulfilled the structural integrity and thermal stability criteria, and the tested mutational perturbations can be considered as clean variations of kcat and that do not affect the global structure and stability of the enzyme.
(A) 1H-15N HSQC spectrum of Adk1yeast (B) 1H-15N HSQC spectrum of Adkeco. The spectra were acquired at 20°C and show that both enzymes are properly folded at the conditions used in this study.
The thermal stability of Adk1yeast (black), (red), (green), (blue), (turquoise), (pink), (purple), (yellow) and (olive) was quantified by observing normalized circular dichroism signals at a wavelength of 220 nm as a function of temperature. The data are displayed assuming a two-state unfolding model. Associated melting temperatures (TM) are displayed in Table 1.
Analysis of yeast fitness
Here we have developed a yeast cell based approach to address the relevance of the catalytic parameters kcat and of adenylate kinase (Adk) for the fitness of yeast expressing Adk variants. Depending on the strain background, adk1Δ yeast strains are either very sick or inviable [23–25]. In the present study we first showed that in our yeast strain background a knock-out of the ADK1 gene is lethal and can be rescued by a plasmid-borne wild-type yeast ADK1 (see strains, media and genetic procedures in experimental procedures). To study the cell growth responses to perturbations of adenylate kinase kcat and parameters in this system, we expressed specifically mutated variants of Adkeco. The rationale for using Adkeco rather than Adk1yeast for this purpose was that more information is available about Adkeco variants and their catalytic properties. Thus, genes encoding Adkeco variants with perturbations in both kcat and were introduced to yeast with a plasmid shuffling system  illustrated and explained in Fig 6. According to a coupled ATPase assay, there were no significant differences in values between wild-type Adkeco and Adk1yeast at 20°C, but the kcat of Adkeco (305±12 s-1) is 59% relative to that of Adk1yeast (520±32 s-1) (Table 1). Despite the differences in catalytic turn-over, the growth rates of adk1Δ yeast cells supplemented with wild-type yeast ADK1 or E. coli adk genes were identical, demonstrating that the E. coli adk gene could functionally exchange the yeast ADK1 gene (Table 2). Initially, we compared the growth properties of yeast cells expressing Adk variants in a serial dilution assay, and detected no growth defects in cells expressing the Adkeco variants at 30°C, the optimal growth temperature for yeast (Fig 7). Only the K13Q mutant () with a kcat of 0.06 s-1 at 20°C (basically catalytically dead variant) failed to rescue the knockout. Next, we tested effects of the perturbations in response to stress by decreasing the growth temperature to 20°C. At 20°C growth of cells expressing and were slightly and strongly impaired, respectively (Fig 7). The kcat values of these mutants are 19, 11 and 2 s-1, respectively. The variant with lowest activity and with a growth that cannot be distinguished to that of yeast expressing Adk1yeast is that has a kcat of 36 s-1. Apparently, the stress imposed by the 10°C reduction of growth temperature results in a significant increase in the kcat value required for optimal growth. It should be noted that the kcat values were measured at 20°C and that some of the effect observed may be due to differences in the kcat values at 20 and 30°C. The temperature dependency of kcat of Adkeco has been quantified previously  and there exist a 2 fold difference in activity between 20 and 30°C. Assuming that the temperature dependency is similar for the mutant forms of Adkeco studied here it is likely that at least, a part of the overcapacity of adenylate kinase is required for adaptation of yeast to stress conditions. On the basis of the comparison of growth at 20°C and 30°C, subsequent liquid culture experiments were performed at 20°C.
The yeast ADK1 open reading frame was exchanged with the KanMX cassette. Viability of the resulting strain depends on the presence of a wild-type yeast ADK1 gene in a low-copy number URA3-based vector, pRS316. A second low-copy number LEU2-based vector was used to introduce different alleles of the E. coli adk gene into this strain. Thus, a strain harboring both the URA3 plasmid (wild-type yeast ADK1 gene) and the LEU2 plasmid (mutated E. coli adk gene) can be obtained. If such a strain is plated on medium containing 5-FOA, the URA3 vector will be counter-selected as the URA3 gene product converts 5-FOA to a toxic compound . Thus, this plasmid shuffling procedure can reveal the phenotype conferred by a mutated E. coli adk gene located in the LEU2 plasmid.
Yeast adk1Δ cells expressing Adk1yeast or indicated variants of Adkeco proteins were serially diluted, spotted on SC-Leu plates, and incubated at 30°C and 20°C for 3–4 days.
As indicated above, yeast cell growth is sensitive to the perturbations of the catalytic activity of adenylate kinase when the cells are subjected to stress by growth at the sub-optimal temperature 20°C. To quantify the influence of the quantified values of kcat, and the specificity constant kcat/, the relative fitness of yeast cells expressing all tested Adk variants were quantified at 20°C in liquid cultures (Table 2). The relative fitness is defined as the ratio between the growth rate of yeast transformed with an Adk variant divided by the growth rate of yeast transformed with yeast Adk1 . Relative fitness were then plotted against kcat, and kcat/, to identify whether perturbation of kcat or was responsible for the growth impairment observed in the serial dilution assay at 20°C. When the relative fitness was displayed against kcat values (Fig 8A) the first conclusion was that the fitness was identical for cells expressing either yeast Adk1 or E. coli Adk. Since the kcat value of the E. coli enzyme is 59% (Table 1) relative to the yeast enzyme it is immediately evident that there is substantial overcapacity in the Adk catalytic power in yeast cells. Clear impairment of the relative fitness is only observed when the kcat value is below 60 s-1 and further reduction in kcat results in successive slower growth rates. Overall the shape of the plot resembles a saturation curve and the relative fitness of yeast expressing Adkeco variants displaying as little as 7% catalytic activity compared to wild-type yeast Adk1 (12% of wild type ) were indistinguishable from those expressing Adk1yeast. In contrast, there was no obvious correlation between the variants’ relative fitness and values when is varied in the interval 34–411 μM (Fig 8B). Not surprisingly a display of relative fitness against kcat/ ratios showed a functional dependency that is similar to that observed when kcat was analyzed (Fig 8C). Thus, the lack of correlation for is superseded by the correlation to kcat when kcat/ is displayed. Taken together, it is apparent that the relative fitness in the experiment is predominantly dependent on the kcat values of the Adk variants encoded by the introduced plasmids. An important aspect for the interpretation of the in vivo experiments are the expression levels of the various Adkeco variants since a variation in these levels potentially can affect the conclusions drawn. Protein expression levels were quantified with western blot analysis using a polyclonal antibody raised against Adkeco (Fig 9A). Increased Adkeco protein levels were observed for variants where kcat is below 60 s-1 (Fig 9B). Thus the expression levels were increased for variants that also displayed a growth rate impairment. Hence, the yeast cells seem to compensate the perturbation to the growth rate by an upregulation of the Adkeco expression levels. These increases in expression levels were presumably due to either kcat-dependent upregulation of protein expression or selection of cells with a higher copy number of plasmids harboring the E. coli adk mutant gene. The differences in expression levels do however not change the main observation that cells do have optimal growth rates even with severe reduction of kcat. This inference is illustrated with a display of relative fitness against apparent kcat values () (Fig 9C), where corresponds to kcat normalized with the relative expression levels (Table 2) according to Eq 2.(2)
(A) Relative fitness plotted versus kcat. (B) Relative fitness plotted versus the Michaelis constant (KM). (C) Relative fitness plotted versus the specificity constant (kcat/). Cells were cultivated for growth rate measurements at 20°C. Catalytic parameters (kcat and ) were obtained from a coupled ATPase assay . Error bars for growth rate constants indicate standard deviations obtained from three independent biological replicates. Error bars for Adk catalytic parameters kcat and indicate standard deviations of three technical replicates.
(A) Western blot analysis of Adkeco proteins expressed from the pRS315 vector in adk1Δ yeast cells and detected by a rabbit polyclonal anti-Adkeco antibody. Endogenous Act1p was used as a loading control. Protein levels of the Adkeco variants were normalized with respect to wild-type protein levels (Table 2). (B) Increases in Adkeco protein levels correlate with reductions in catalytic activity (kcat). (C) Relative fitness plotted versus (i.e kcat normalized with respect to Adkeco protein levels according to Eq 2). Cells were cultivated at 20°C for western blots. Error bars for protein levels indicate standard deviations obtained from three independent biological replicates.
Here we report an approach that enables in vivo analysis of effects of perturbations of adenylate kinase catalytic parameters in yeast cells. In the experiments growth rates of cells were quantified in response to Adkeco variants with mutations that “cleanly” perturb the targeted parameters (kcat and ) without compromising the enzyme’s structural integrity or thermal stability. First we showed that cytosolic Adk is required for yeast viability in our strain background, and that a catalytically dead but properly folded variant (K13Q) could not restore viability. These results supports that the relative fitness of the yeast strains is depending on the level of Adk activity. The intracellular ATP concentrations in yeast cells are in the low millimolar range [37–39]. The Michaelis constant is related to the dissociation constant (Kd) for a given substrate, and it has been shown that the Kd of ATP binding to Adkeco is 50 μM  which is close to the value of determined here (~70 μM). With values used as a proxy for ATP binding affinity it is, in fact, expected that all Adk variants used in this study should be saturated with ATP inside yeast cells since the values ranging from 34 to 417 μM are below the expected cellular ATP levels. This inference was corroborated with the cell growth experiments since no correlation between relative fitness and values was observed (Fig 8B). Thus, from a standpoint of , the Adk variants are all fully functional in the cellular milieu and the growth defects observed in the experiments can be attributed to variations in kcat (determined at 20°C). It was found that yeast cell growth at the optimal temperature (30°C) was not affected by the mutations (except for with a kcat of 0.06 s-1 that was unable to rescue the inviable phenotype), which is remarkable as the kcat of one of the mutants is only 0.4% compared to wild-type Adk1yeast. In contrast, in response to external stress by growth at a sub-optimal temperature of 20°C the relative fitness of yeast was impaired when the kcat value was less than 7% of the Adk1yeast value. Taken together the data show that the kcat value of Adk1yeast is well above the threshold value required for cell growth under optimal and sub-optimal conditions and that there is substantial overcapacity in the catalytic turn over by Adk in yeast cells. A similar functional dependency of relative fitness with a massive catalytic overcapacity has been observed in E. coli for the enzyme β-galactosidase [15, 41]. Thus, both the present study in a eukaryotic organism and the cited β-galactosidase studies in a prokaryotic organism indicate that only a fraction of evolved enzymatic activity may be required for optimal cell growth under laboratory conditions. The data presented here show that, at least a part of the overcapacity in catalytic power is required for organisms to survive external stress conditions that may apply to organisms in their natural habitats. There exist other ways of inflicting stress conditions to yeast in laboratory growth experiments and examples thereof are; oxidative stress, and nutritional stress. For the conceptual discovery here temperature was chosen since it is a parameter that can be accurately controlled and no additional variables such as nutritional uptake or intracellular concentrations (of for instance hydrogen peroxide in oxidative stress experiments) needs to be considered. Additionally, the plasmid shuffling system developed here is a useful platform in order to promote novel discoveries in Adk enzymology. This can in principle be performed by searching for intragenic suppressor mutations that can revert/save an inviable phenotype dependant on mutation of key catalytic residues. Intragenic suppressor mutations may bypass the effect of the mutation leading to inviability and this bypass effect can generate novel information on, for instance, the plasticity of active sites. A second application to the method lies within enzyme design, here it is possible to make use of the fact that yeast can survive with a very low kcat value at 30°C (Fig 7). One useful experiment that contains significant information on design would be to evolve adenylate kinase activity from an unrelated ATP binding enzyme. Random mutation of the gene encoding this scaffold enzyme followed by transformation into the yeast plasmid shuffling system would generate viable colonies only if adenylate kinase activity has evolved.
S1 Fig. Enzyme kinetics with ATP as variable substrate.
The velocity of ADP production (V with unit M s-1) is scaled by the enzyme concentration (V/[Adk]) to obtain the displayed parameter of the y-axis with the unit s-1. The assays were performed with an AMP concentration held constant at 300 μM at 20°C. Error bars are obtained from the standard deviation resulting from three technical replicates. Displayed are the unique variants analyzed in this study and also (A) Adk1yeast. (B) (C) (D). (E) . (F). (G).
S2 Fig. 1H-15N HSQC spectra of Adkeco variants.
(A) T163C. (B) G10V. (C) G56C. (D) R36A.
S3 Fig. 1H-15N HSQC spectra of Adkeco variants.
(A) I116G. (B) R36S+11a.a. (C) K13Q.
This work was financially supported by the Swedish Research Council (grants 621-2013-5954 to M.W.W. and 621-2012-3576 to A.B.). A.B. was also supported by the Swedish Cancer Foundation (13 0301) and Karin and Harald Silvanders Foundation (223-2808-12). The NMR experiments were conducted at NMR4life and we thank the Wallenberg and Kempe foundations for supporting this infrastructure. Parts of this work were planned and performed by the Umeå Protein Expertise Platform.
- Conceptualization: MWW AB HT HMM.
- Formal analysis: HT HMM AB.
- Funding acquisition: MWW AB.
- Investigation: HT HMM MK MWW.
- Project administration: MWW AB.
- Writing – original draft: HT HMM AB MWW.
- Writing – review & editing: HT HMM MK AB MWW.
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