Abstract
Extracellular signals, such as nutrients and hormones, cue intracellular pathways to produce adaptive responses. Often, cells must coordinate their responses to multiple signals to produce an appropriate outcome. We showed that components of a glucose-sensing pathway acted on components of a heterotrimeric guanine nucleotide–binding protein (G protein)–mediated pheromone signaling pathway in the yeast Saccharomyces cerevisiae. We demonstrated that the G protein α subunit Gpa1 was phosphorylated in response to conditions of reduced glucose availability and that this phosphorylation event contributed to reduced pheromone-dependent stimulation of mitogen-activated protein kinases, gene transcription, cell morphogenesis, and mating efficiency. We found that Elm1, Sak1, and Tos3, the kinases that phosphorylate Snf1, the yeast homolog of adenosine monophosphate–activated protein kinase (AMPK), in response to limited glucose availability, also phosphorylated Gpa1 and contributed to the diminished mating response. Reg1, the regulatory subunit of the phosphatase PP1 that acts on Snf1, was likewise required to reverse the phosphorylation of Gpa1 and to maintain the mating response. Thus, the same kinases and phosphatase that regulate Snf1 also regulate Gpa1. More broadly, these results indicate that the pheromone signaling and glucose-sensing pathways communicate directly to coordinate cell behavior.
INTRODUCTION
Hormones, neurotransmitters, odors, and environmental signals are commonly detected by heterotrimeric guanine nucleotide–binding protein (G protein)–coupled receptors (GPCRs). Upon ligand binding, the activated receptor causes the G protein α subunit to release guanosine diphosphate (GDP), bind to guanosine triphosphate (GTP), and dissociate from the G protein βγ subunit. This dissociation initiates an appropriate cellular response, which is commonly transmitted through the production of second messengers or the activation of a mitogen-activated protein kinase (MAPK) cascade (1). For example, the peptide hormone glucagon is produced in response to a reduction in the amount of glucose in the blood, and it stimulates the breakdown of cellular glycogen and the release of glucose into the circulation (2). Whereas the ability of specific GPCRs to control glucose metabolism is well established, less is known about how changes in glucose availability affect GPCR signaling.
G protein signaling cascades are highly conserved in animals, plants, and fungi. In the yeast Saccharomyces cerevisiae, peptide pheromones trigger a series of signaling events leading to the fusion of haploid a and a cell types. In mating type a cells, the α-factor pheromone binds to the GPCR Ste2, which is coupled to a G protein composed of Gpa1 (Gα), and Ste4 and Ste18 (Gβγ). The free Gβγ dimer then activates a protein kinase cascade that culminates in activation of the MAPK Fus3 and, to a lesser extent, Kss1. Activation of the mating pathway leads ultimately to gene transcription, cell cycle arrest at the G1 stage, and morphological changes to form an a-α diploid cell (3).
In addition to activation by GPCRs, G proteins are regulated by post-translational modifications, which are often dynamic and contribute directly to signal transmission. For example, Gpa1 is modified by myristoylation, palmitoylation, ubiquitylation, and phosphorylation (4–7). In an earlier effort to identify the kinase that phosphorylates Gpa1, we screened 109 gene deletion mutants that represented most of the nonessential protein kinases in yeast. With this approach, we identified that the kinase Elm1 phosphorylates Gpa1. Under nutrient-rich conditions, Elm1 is present predominantly during the G2-M phase, and this leads to concomitant, cell cycle–dependent phosphorylation of Gpa1 (6).
In addition to phosphorylating Gpa1, Elm1 phosphorylates and regulates a number of proteins necessary for proper cell morphogenesis and mitosis (8). Elm1 is also one of the three kinases that phosphorylate and activate Snf1 (9), the founding member of the adenosine monophosphate–activated protein kinase (AMPK) family (10). Under conditions of limited glucose availability, Snf1 is phosphorylated (and activated) on Thr210 (11). Once activated, Snf1 promotes the transcription of genes that encode metabolic factors to maintain energy homeostasis (12–14). Here, we demonstrated that the G protein Gpa1 was likewise phosphorylated in response to the limited availability of glucose. Moreover, Gpa1 was phosphorylated and dephosphorylated by the same enzymes that act on Snf1. Under conditions that promoted the phosphorylation of Gpa1, cells exhibited a diminished response to pheromone, a delay in mating morphogenesis, and a reduction in mating efficiency. These findings reveal a previously uncharacterized direct link between the nutrient-sensing AMPK and G protein signaling pathways. More broadly, they reveal how metabolic and GPCR signaling pathways coordinate their actions in response to competing stimuli.
RESULTS
Gpa1 is phosphorylated in response to reduced glucose availability
We previously showed that Elm1 phosphorylates Gpa1, and that phosphorylation is regulated in a cell cycle–dependent manner (6). Elm1 also phosphorylates Snf1, among other substrates; however, in this case, phosphorylation occurs in response to glucose limitation. Thus, we considered whether glucose availability affected the phosphorylation status of Gpa1. Because phosphorylation causes a change in the migration of a protein when resolved by SDS–polyacrylamide gel electrophoresis (SDS-PAGE), we performed Western blotting analysis with anti-Gpa1 antibodies of lysates of cells grown in medium containing 2 or 0.05% glucose to determine whether Gpa1 was phosphorylated. Indeed, we found that Gpa1 was phosphorylated (Fig. 1A), and that phosphorylation was rapid and sustained in cells cultured in medium with lower glucose concentration (Fig. 1B); however, Gpa1 was still phosphorylated in cells deficient in Elm1 (elm1Δ mutant cells). Because two other kinases, Sak1 and Tos3, are also capable of phosphorylating Snf1 (9, 15), we examined whether these kinases, alone or in combination, contributed to the phosphorylation of Gpa1 under conditions of limited glucose availability. Of the single kinase deletion mutants, sak1Δ cells exhibited the smallest increase in Gpa1 phosphorylation because of glucose limitation (Fig. 1C). Deletion of all three kinases was needed to eliminate Gpa1 phosphorylation at early time points (Fig. 1, B and D); however, limited phosphorylation of Gpa1 was detectable after 30 to 60 min, indicating that another kinase was active during prolonged starvation. Under the same conditions, Snf1 remained inactivated, as reported previously (9, 15–17). It appeared that Snf1 did not phosphorylate Gpa1, because we detected phosphorylated Gpa1 in snf1Δ mutant cells cultured in low glucose, although the abundance of Gpa1 was reduced in these cells (Fig. 1E). These results suggest that Gpa1 is a substrate for the Snf1-activating kinases Elm1, Sak1, and Tos3.
Having shown that the kinases that phosphorylate Snf1 also phosphorylated Gpa1, we asked whether the phosphatase for Snf1, which consists of the subunits Glc7 and Reg1 (18), was capable of dephosphorylating phosphorylated Gpa1. Reg1 is the regulatory subunit of the phosphatase, and it recruits substrates to the catalytic subunit Glc7 (19). Because the gene encoding Glc7 is essential for yeast survival, we tested reg1Δ mutant cells. Indeed, we found that the abundance of phosphorylated Gpa1 was increased in reg1Δ compared to that in wild-type cells, and that Gpa1 remained phosphorylated even under conditions of abundant glucose concentration (Fig. 1, A and B). Together, these data suggest that the kinases and phosphatase that act on Snf1 are capable of acting on Gpa1 as well.
Snf1 exists as part of a heterotrimeric complex, and its phosphorylation is partially dependent on the presence of its β subunit in the complex (20). Accordingly, we investigated whether the phosphorylation of Gpa1 required any of its known binding partners (21–23). To that end, we monitored the phosphorylation of Gpa1 in yeast strains lacking the GPCR (Ste2), the G protein β subunit (Ste4), the guanosine triphosphatase (GTPase)–activating protein (GAP, Sst2), and the atypical Gβ subunit and phosphatidylinositol 3-kinase (PI3K) regulatory subunit (Vps15) that are involved in Gpa1 activation and signaling. We found that Gpa1 was still phosphorylated in the absence of each binding partner, although the extent of phosphorylation of Gpa1 was diminished in cells lacking Ste4 compared to that in wild-type cells (Fig. 1, F and G). The extent of phosphorylation of the GTP-bound (GTPase-deficient) Gpa1Q323L mutant form of Gpa1 was also slightly reduced compared to that in wild-type cells (fig. S1). These results suggest that, as is the case with Snf1, the phosphorylation of Gpa1 occurs most efficiently when it is in a heterotrimeric state.
Having shown that Sak1 is particularly important for the phosphorylation of Gpa1, we next investigated whether Sak1 directly phosphorylated Gpa1. We copurified Sak1 with Gpa1 from cells grown in medium containing either 2 or 0.05% glucose (Fig. 2A), suggesting that the Gpa1-Sak1 interaction was not glucose-dependent. To assess whether Sak1 was sufficient for Gpa1 phosphorylation, we conducted in vitro kinase assays. We found that the purified Sak1-TAP (tandem affinity purification) fusion protein phosphorylated purified recombinant Gpa1 protein (Fig. 2B), whereas the catalytically impaired Sak1D277A mutant did not. Thus, we conclude that Sak1 directly phosphorylates Gpa1.
Gpa1 was abundantly phosphorylated in reg1Δ mutant cells even when they were maintained in medium with sufficient glucose (Fig. 1, A and G). We confirmed that Reg1 copurified with Gpa1 from cells grown in medium containing either 2 or 0.05% glucose (Fig. 2C); however, we were unable to purify recombinant Reg1 or Glc7 proteins in sufficient quantities to conduct an in vitro phosphatase assay. As an alternative, we purified recombinant Gpa1 and Reg1 proteins and resolved them by steric exclusion chromatography. Gpa1 eluted in two distinct peaks: the first representing monomeric Gpa1, and the second representing Gpa1 in complex with Reg1 (Fig. 2D). These results demonstrate the existence of a direct and stable association between Gpa1 and Reg1. Together, these findings support a model in which Reg1-Glc7 acts as a phosphatase for Gpa1.
Whereas mating responses are dampened by Elm1, Sak1, and Tos3, they are promoted by Reg1
The mating pheromone α-factor stimulates a kinase cascade consisting of Ste11, Ste7, and the MAPK Fus3. To determine whether the basal phosphorylation state of Gpa1 altered its ability to transmit the pheromone signal, we monitored the activation status of Fus3 by Western blotting analysis with an antibody specific for the dually phosphorylated, fully active form of Fus3 (p-Fus3) (24). As compared to wild-type cells, elm1Δsak1Δtos3Δ cells were initially more sensitive to pheromone, although they took longer to exhibit full activation of Fus3 (Fig. 3A). In this context, we note that activation of the overall mating pathway is a function of the increased abundance of Fus3 as well as of its increased phosphorylation (25). However, we observed no difference in Fus3 abundance between the wild-type and elm1Δsak1Δtos3Δ strains (Fig. 3A). We inferred from these results that cells were initially more responsive to pheromone if their Gpa1 was unphosphorylated. However, the rapid response to pheromone may also lead to more rapid feedback inhibition, for example, by stimulating production of the GAP Sst2, and this could account for the observed delay in achieving full activation of Fus3. Thus, these data suggest that Elm1, Tos3, and Sak1 are important for suppressing early activation of the matingspecific MAPK in response to α-factor.
Activation of Fus3 results in the selective induction of genes whose products are required for proper cell fusion (25). To further assess the contribution of Elm1, Sak1, and Tos3 to the mating response, we measured pathway-specific gene transcription with a reporter construct consisting of the FUS1 promoter fused to the gene encoding β-galactosidase. Compared to wild-type cells, elm1Δsak1Δtos3Δ cells had a nearly twofold increase in maximal pheromone-induced gene transcription (Fig. 3B) and an even greater relative increase under basal conditions.
As a counterpart to the Snf1-activating kinases, we examined the role of the Glc7-Reg1 phosphatase in the mating response. We used a reg1Δ mutant strain as well as a strain expressing the Glc7-binding deficient mutant, Reg1F468R (26). Whereas phosphorylation of Fus3 occurred ~30 min after treatment with pheromone in wild-type cells, peak phosphorylation occurred after 60 min in the reg1Δ mutant cells (Fig. 3C). The reg1Δ mutant cells also exhibited a 40% decrease in pheromone-induced gene expression compared to that in wild-type cells (Fig. 3D). Normal signaling was restored in cells transformed with plasmid expressing wild-type Reg1, but not the Reg1F468R mutant (fig. S2A). Because elm1Δsak1Δtos3Δ cells lacked the ability to appropriately activate Snf1, we also examined the response of snf1Δ cells to pheromone. Whereas the elm1Δsak1Δtos3Δ cells exhibited an increased response to pheromone compared to that of wild-type cells, the snf1Δ mutant cells produced a somewhat dampened response (fig. S2, B and C). Given these opposing effects on the response to pheromone, we conclude that the Snf1-activating kinases, but not Snf1 itself, serve as inhibitors of the mating response pathway. Conversely, the regulatory subunit of the phosphatase that acts on Snf1 (as well as Snf1) serves as an enhancer of the pathway.
Limited glucose availability dampens the mating response pathway
Our earlier findings revealed that Gpa1 was dynamically modified by phosphorylation, which occurred under conditions of low glucose concentration, and that the kinases and phosphatase that acted on Snf1 also acted on Gpa1. The Snf1 complex and its human counterparts, the AMPKs, serve as molecular switches to turn on catabolic pathways while suppressing anabolic pathways when cells are under energy-poor or other stressful conditions (27). In light of these findings, we postulated that Gpa1 might serve as a point of crosstalk to delay mating during periods of glucose limitation. To test this model, we investigated how a decrease in extracellular glucose concentration might alter MAPK activation and mating-specific gene expression, as well as the consequent changes in cell morphology and mating efficiency.
We first monitored the activation of Fus3, and we observed a dampened response to pheromone when the glucose concentration was limiting (Fig. 4A). We then conducted the same experiment in cells lacking Elm1, Sak1, and Tos3. Under these conditions, there was no effect of limiting glucose on the activation of Fus3 (Fig. 4B). We also examined Reg1-deficient cells, and we observed a marked decrease in p-Fus3 abundance under glucose-limiting conditions, particularly at later time points (Fig. 4C). These changes in the extent of MAPK activation were mirrored in the transcriptional reporter assay, with the exception of the reg1Δ mutant cells cultured in low glucose (Fig. 4D). This difference suggests that Reg1 influences events both upstream and downstream of the MAPKs. Together, these data suggest that the Snf1-activating kinases serve to inhibit the mating pathway.
Whereas phosphorylation of Gpa1 appeared to dampen signaling immediately after stimulation of cells with pheromone, signaling was not dampened when the G protein was bypassed entirely through a constitutively active mutant MAPK kinase kinase (MAPKKK), Ste11 (Fig. 4E) (28). Rather, pathway activity was enhanced under these circumstances, which suggests the existence of an opposing regulatory process late in the pathway. Yet another layer of regulation could occur at the level of gene transcription. As noted earlier, Fus3 activity is a function of an increase in the abundance of Fus3 protein as well as an increase in its phosphorylation status, which suggests that there is a kinase-dependent positive feedback loop that controls the production of Fus3. Indeed, we observed decreased Fus3 protein abundance in both reg1Δ and wild-type strains of yeast grown under conditions of limited glucose availability (Fig. 4, A and C). Persistent suppression of FUS3 expression could account for the fact that, of all the strains tested, the reg1Δ mutant cells showed the greatest glucose-dependent change in Fus3 phosphorylation status (Fig. 4C), but the smallest glucose-dependent change in Gpa1 phosphorylation (Fig. 1A).
Ultimately, a stress-dependent reduction of pheromone responses should lead to impaired mating. Mating in yeast is most efficient when glucose is abundant (29), although, to the best of our knowledge, these effects have never been quantified or characterized by microscopy. In our analysis, we observed a nearly threefold reduction in mating efficiency in cells grown in 0.05% glucose compared to that in cells grown in 2% glucose (Fig. 5A). We then monitored pheromone-induced morphological changes in cells, including polarized cell expansion (“shmoo” formation), which produces the eventual site of haploid cell fusion (30). The use of a microfluidic chamber enabled us to maintain fixed concentrations of glucose and pheromone over time. For cells cultured in medium containing 2% glucose, the addition of α-factor pheromone resulted in shmoo formation after ~120 min. For cells cultured in medium containing 0.05% glucose, the addition of α-factor resulted in shmoo formation after 180 min (Fig. 5B). Moreover, whereas pheromone-treated cells normally arrest in the first G1 phase, we found that cells grown in 0.05% glucose divided once and did not arrest until the second G1 phase (Fig. 5, B and C). In contrast, we observed no differences in the rate of cell division (budding) when pheromone was absent (Fig. 5D). These observations suggest that general cellular and cell cycle functions are not substantially dysregulated under conditions of low glucose concentration, at least for the first 4 hours. We conclude that suppression of the mating pathway and delayed morphogenesis are sufficient to reduce mating efficiency when glucose is limiting. Thus, the same processes that control the metabolic regulator Snf1 also limit the pheromone signaling pathway.
DISCUSSION
G proteins and GPCRs have long been known to regulate glucose metabolism. Classical studies, performed over the past half century, have revealed how glucagon and other hormones modulate glucose storage and synthesis (31). Here, we demonstrated that cross-pathway regulation can also occur in the opposite direction, wherein glucose availability regulates a G protein signaling pathway. Specifically, we showed that the G protein Gpa1 was phosphorylated in direct response to limited glucose availability. When Gpa1 was phosphorylated, pheromone responses were abrogated. Furthermore, the kinases and phosphatase that act on Gpa1 are the same as those that act on the glucose-sensing substrate Snf1.
Some important questions remain. For example, although phosphorylation of Ser200 is responsible for the shift in Gpa1 mobility when analyzed by SDS-PAGE, there are many other phosphorylation sites that have not yet been mapped or functionally characterized. Moreover, it is not clear how phosphorylation and dephosphorylation events are regulated. Even for the prototype AMPK, Snf1, the mechanism of activation has remained unsolved for many years (32). Current evidence indicates that Snf1-activating kinases are always active (33) but that the activity of the Glc7-Reg1 phosphatase is glucose-regulated (20, 34, 35). Upon binding to adenosine 5′-diphosphate, which is most abundant in cells grown under conditions of low glucose availability, the Snf1 complex undergoes a conformational change (32). Consequently, Snf1 is no longer dephosphorylated, and it persists in an activated phosphorylated state until the abundances of glucose and adenosine 5′-triphosphate (ATP) are restored. As long as it remains phosphorylated, Snf1 promotes the transcription of metabolic genes to maintain energy homeostasis (12–14). By analogy with Snf1, it is possible that Gpa1 is constitutively phosphorylated but fails to become dephosphorylated under low-glucose conditions. Gpa1 does not bind to adenosine nucleotides, however, so another ligand may direct conformational change. So far, we have determined that the phosphorylation of Gpa1 is not contingent on its sustained binding to GTP or GDP (fig. S1). Thus, another glucose-mediated change may alter the conformation of the G protein, the phosphatase, or the protein kinases. For example, cytoplasmic pH drops rapidly in response to low glucose, and these changes could produce conformational changes in Gpa1 that lead to increased phosphorylation (36). We also believe that additional pheromone pathway components are regulated by the glucose-sensing pathway. This is based on the finding that glucose limitation has a strong effect on pheromone signaling in the reg1Δ mutant, despite these cells exhibiting modest changes in the extent of Gpa1 phosphorylation. Moreover, at least some of the effects of glucose limitation can be attributed to reduced Fus3 abundance, and hence may reflect changes in gene expression as well as G protein activity.
Yeast has long served as a model for investigating fundamental mechanisms of cell signaling and regulation. Our analysis has revealed the glucose-dependent regulation of a G protein α subunit and a G protein–mediated signaling pathway. Analysis of both pathways is critical for understanding human health and disease because they are implicated in numerous physiological responses and are important targets of pharmaceuticals (37, 38). Examples include metformin (which activates AMPK) and glucagon (a GPCR agonist), which are used for the treatment of type 2 diabetes and hypoglycemia, respectively. Dynamic phosphorylation of a G protein α subunit, in response to diminished glucose availability, represents a striking example of crosstalk between two critically important signaling systems. More broadly, these findings demonstrate a degree of coordination that serves to prioritize signaling events during conditions of metabolic stress. Given the conservation of G protein and AMPK signaling pathways across species, our findings may lead to similar mechanisms of signal coordination being discovered in humans.
MATERIALS AND METHODS
Strains and plasmids
Standard methods for the growth, maintenance, and transformation of yeast and bacteria were used throughout this work. Strains used in this study were BY4741 (MATa leu2Δ met15Δ his3Δ ura3Δ) and BY4741-derived mutants that were constructed with the KanMX4 G418 resistance marker (Yeast Deletion Clones, Invitrogen; originally purchased from Research Genetics). The snf1Δ strain (BY4741 snf1Δ::KanMX4) that was obtained from Research Genetics did not produce a consistent phenotype, so we regenerated the strain by polymerase chain reaction (PCR)–based amplification of the KanMX4 cassette and transformation of the parent strain (39). Double gene deletion and triple gene deletion strains were generated with PCR-mediated gene disruption cassettes from the pRS400 series of vectors (40). The plasmid pRS313-SAK1 was constructed by PCR amplification of SAK1 ± 500 bp flanking the opening reading frame (ORF) with the primers SacII-SAK1-F and SmaI-SAK1-R and directional cloning into the Sac II and Sma I sites of pRS313. The plasmid pRS316-REG1 was constructed by the method described earlier with the primers XhoI-REG1-F and KpnI-REG1-R and by cloning into pRS316. The single point mutation of Reg1F468R was constructed by QuikChange (Stratagene) mutagenesis with the primer REG1-F468R-F and its complement. The plasmid pAD4M-GPA1-FLAG was constructed by amplifying the GPA1-FLAGInternal ORF from pRS316-ADH-GPA1-FLAG (7) with the primers SmaI-ADH1-F and SacI-GPA1-R and by cloning into pAD4M. The plasmid pRS316-ADH1-REG1-HA was constructed by QuikChange to substitute an HA tag for the FLAG tag from pRS316-ADH1-REG1-FLAG with the primer REG1-HA-F and its complement. The plasmid for bacterial expression of the 6×His-MBP Reg1 fusion protein was generated by ligation-independent cloning, as described previously (41). The sequence encoding REG1 was amplified by PCR from genomic DNA with the primers REG1-MBP-F and REG1-MBP-R and annealed to the gapped 6×His vector pLIC-MBP (from J. Sondek, University of North Carolina). Details of the strains (table S1), plasmids (table S2), and primers (table S3) used in this study can be found in the Supplementary Materials.
Growth of cultures
Cells were grown in YPD or SCD medium containing 2% (w/v) D-glucose. Low-glucose treatment was achieved by growing cells in 2% glucose medium until they reached the early log phase, and then cells were centrifuged and washed with 0.05% glucose medium before being resuspended in 0.05% glucose medium for 5 min. Cells were then collected for Western blotting analysis or were further treated with the pheromone α-factor.
Protein detection
Unless otherwise noted, cell pellets were harvested by the addition of 100% trichloroacetic acid (TCA) to cells in culture medium (to a final concentration of 5%), centrifuged at 3000g for 2 min, washed with 1 ml of 10 mM NaN3, and stored as a frozen cell pellet at −20°C. Protein extracts were generated by glass bead lysis in TCA, as described previously (42), and 35-µg aliquots of total cell lysates were resolved by 10% SDS-PAGE and transferred onto membranes. Western blotting analysis of the membranes was performed with the following antibodies: anti-Gpa1 at 1:1000 dilution (43), anti-FLAG at 1:1000 (F1804, Sigma-Aldrich), anti-p44/42 at 1:500 (9101L, Cell Signaling Technology), anti-G6PDH at 1:50,000 (A9521, Sigma-Aldrich), anti-HA at 1:10,000 (A190-108A, Bethyl), anti–phospho-AMPKα at 1:2000 (4188, Cell Signaling), anti-Fus3 at 1:500 (sc-6773, Santa Cruz Biotechnology), anti–protein A at 1:50,000 (P3775, Sigma-Aldrich), and anti-MBP at 1:2000 (sc-13914, Santa Cruz Biotechnology). Immunoreactive bands were visualized by chemiluminescence detection (PerkinElmer Life Sciences) of horseradish peroxidase (HRP)–conjugated anti-rabbit immunoglobulin G (IgG) (1:10,000 dilution, 170–5046) or HRP-conjugated anti-mouse IgG (1:10,000 dilution, 170–5047, Bio-Rad). Blots were exposed to HyBlot CL autoradiography film (Denville Scientific), and densitometric analysis of bands was performed with ImageJ software [National Institutes of Health (NIH)].
Immunoprecipitation of Gpa1-FLAG
Wild-type cells were transformed with the plasmid pAD4M-GPA1-FLAG or empty vector together with either pRS316-ADH1-REG1-HA and empty vector or pRS426-SAK1-TAP and empty vector. The production and purification of FLAG-tagged proteins were performed as described previously (44). Samples were resolved by 10% SDS-PAGE and analyzed by Western blotting to detect FLAG- or HA-tagged proteins or TAP fusion proteins.
Purification of TAP and 6×His fusion proteins
The TAP tag consists of a calmodulin-binding peptide and two IgG-binding domains of Staphylococcus aureus protein A. We transformed sak1Δsnf1Δ cells with the plasmid pRS426-SAK1-TAP or pRS426-SAK1D277A-TAP. Two-liter cultures were grown to early log phase, and cells were harvested by centrifugation, washed with distilled water, and stored at −20°C. The cell pellets were lysed by glass bead agitation in lysis buffer containing 41.7 mM Na2HPO4, 8.3 mM NaH2PO4 (pH 7.5), 400 mM NaCl, 10% glycerol, 0.1% Triton X-100 (Sigma-Aldrich), 25 mM NaF, 2 mM β-glycerophosphate, 1 mM dithiothreitol (DTT), 1× protease inhibitor mixture tablets (Roche), and 500 µM phenylmethylsulfonyl fluoride. Samples were rocked for 60 min to solubilize the proteins. The lysate mixture was subjected to micro-centrifugation at 21,000g for 10 min, and CaCl2 at a final concentration of 1 mM was added to the soluble extract to enable the binding of TAP-tagged proteins to 50 µl of calmodulin affinity resin (Agilent) for 2 hours with gentle rocking. The resin was washed five times in 1 ml of lysis buffer containing 1 mM CaCl2 and then eluted with 100 µl of lysis buffer containing 2 mM EGTA. Eluted protein was dialyzed with a Slide-A-Lyzer MINI cartridge (Pierce) into dialysis buffer containing 20 mM tris-HCl (pH 8.0), 100 mM NaCl, 2 mM MgCl2, and 5% glycerol. About 1 to 5 µg of protein were recovered in a typical TAP purification. Recombinant 6×His-Gpa1 and 6×His-MBP-Reg1 were expressed by autoinduction (45) and purified by nickel-affinity chromatography, as described previously (46), but without cleavage of the N-terminal 6×His tag.
In vitro kinase assays
In vitro kinase assays were performed by incubating 0.075 to 0.15 pmol of purified TAP kinase (corresponding to a final concentration of 3 to 6 nM) and 12.5 pmol of recombinant Gpa1 (0.5 µM final concentration) in 1× kinase reaction buffer, as described previously for Elm1 (6). Reactions were stopped by the addition of 6× SDS-PAGE loading buffer, and samples were immediately subjected to 10% SDS-PAGE. Gels were dehydrated and exposed to autoradiography film (HyBlot CL, Denville Scientific).
Steric exclusion chromatography of Gpa1 and Reg1
Purified 6×His-Gpa1 and Reg1-MBP proteins were subjected to steric exclusion chromatography with an Akta FPLC system and a Sephacryl 26/60 S200 column (GE Healthcare). One nanomole of 6×His-Gpa1 and 3.25 nmol of Reg1-MBP were equilibrated in 20 mM tris-HCl (pH 8.0), 100 mM NaCl, 5% glycerol, 1 mM DTT, 2 mM MgCl2, and 20 µM GDP. Proteins were separated at a rate of 0.5 ml/min and were collected in 7-ml fractions. A 20-µl sample from each fraction was resolved by SDS-PAGE and analyzed by Western blotting with anti-Gpa1 or anti-MBP antibodies.
Pheromone transcriptional reporter assay and quantitative mating assay
Transcriptional reporter assays (47) and mating assays (48) were performed as described previously. For the mating assay, equal amounts of early–log phase MATa cells (BY4741) and MATα cells (BY4742, leu2Δ his3Δ ura3Δ lys2Δ MET +) were mixed, filtered onto nitrocellulose membranes, and incubated on YPD plates containing 2 or 0.05% glucose. After 4 hours of incubation, cells were resuspended and plated onto SCD or SD (synthetic medium containing dextrose) and only Leu/His/Ura. Mating efficiency was calculated by dividing the number of diploid colonies by the total number of cells on an SCD plate.
Microscopy
A microfluidic device was constructed similar to one previously described (49). Cells were imaged every 5 min for 12 hours. Image acquisition was performed with an Olympus spinning disc confocal microscope, and image processing and analysis were performed with ImageJ software.
Statistical analysis
To assess statistical significance, we used Student’s t test for pairwise comparisons. P < 0.05 was considered statistically significant. Error bars represent the means ± SEM of replicates within individual experiments.
Supplementary Material
Acknowledgments
We thank M. Carlson and M. Torres for their advice and encouragement, M. Schmidt for the Sak1 plasmid used for in vitro kinase assays, M. Lee for his early contributions to the analysis of Reg1, and H. Lien for performing the mating efficiency assays.
Funding: This work was supported by NIH grant GM059167 to H.G.D.
Footnotes
Author contributions: S.T.C. and H.G.D. designed the research; S.T.C. and G.D. performed the research; S.T.C., G.D., and H.G.D. analyzed the data; and S.T.C. and H.G.D. wrote the manuscript.
Competing interests: The authors declare that they have no competing interests.
SUPPLEMENTARY MATERIALS
www.sciencesignaling.org/cgi/content/full/6/291/ra78/DC1
Fig. S1. Phosphorylation of Gpa1 is not affected by nucleotide binding.
Fig. S2. Reg1 and Snf1 promote maximal mating responses.
Table S1. Yeast strains used in this study.
Table S2. Plasmids used in this study.
Table S3. Sequences of oligonucleotides used in this study.
References (50–53)
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