Abstract
Candida species, such as Candida albicans and Candida glabrata, cause infections at different host sites because they adapt their metabolism depending on the available nutrients. They are able to proliferate under both nutrient-rich and nutrient-poor conditions. This adaptation is what makes these fungi successful pathogens. For both species, sugars are very important nutrients and as the sugar level differs depending on the host niche, different sugar sensing systems must be present. Saccharomyces cerevisiae has been used as a model for the identification of these sugar sensing systems. One of the main carbon sources for yeast is glucose, for which three different pathways have been described. First, two transporter-like proteins, ScSnf3 and ScRgt2, sense glucose levels resulting in the induction of different hexose transporter genes. This situation is comparable in C. albicans and C. glabrata, where sensing of glucose by CaHgt4 and CgSnf3, respectively, also results in hexose transporter gene induction. The second glucose sensing mechanism in S. cerevisiae is via the G-protein coupled receptor ScGpr1, which causes the activation of the cAMP/PKA pathway, resulting in rapid adaptation to the presence of glucose. The main components of this glucose sensing system are also conserved in C. albicans and C. glabrata. However, it seems that the ligand(s) for CaGpr1 are not sugars but lactate and methionine. In C. glabrata, this pathway has not yet been investigated. Finally, the glucose repression pathway ensures repression of respiration and repression of the use of alternative carbon sources. This pathway is not well characterized in Candida species. It is important to note that, apart from glucose, other sugars and sugar-analogs, such as N-acetylglucosamine in the case of C. albicans, are also important carbon sources. In these fungal pathogens, sensing sugars is important for a number of virulence attributes, including adhesion, oxidative stress resistance, biofilm formation, morphogenesis, invasion, and antifungal drug tolerance. In this review, the sugar sensing and signaling mechanisms in these Candida species are compared to S. cerevisiae.
Introduction
Over the last decades, the incidence of fungal infections has tremendously increased (; ). For every individual, there is a reasonable chance to suffer from a superficial fungal infection at least once during their lifetime. Due to organ transplants, catheter use and the redundant and prophylactic use of antibiotics, there is a higher number of at-risk people, which causes an increase in both superficial and systemic infection rate of these pathogenic fungi (Pfaller and Diekema, 2007; ; Yapar, 2014). From the pool of fungal infections, the most frequently isolated species are Candida sp. of which Candida albicans is the most prominent one (; ). Furthermore, the introduction of the antifungal fluconazole caused an increase in infections initiated by the inherently more fluconazole tolerant species, Candida glabrata (Pfaller et al., 2005; ; Pfaller et al., 2014). C. glabrata is often found in the environment (; Morrison-Whittle et al., 2018), while C. albicans is only rarely found outside the mammalian host. Recently some studies showed its presence in chickens and turkeys and on old oaks (; Liu et al., 2018; Sokół et al., 2018). The differences in lifestyle between C. albicans and C. glabrata are due to their different genomic evolution. C. albicans diverged from S. cerevisiae about 300 million years ago (). Therefore, these species are fairly different from each other with as most obvious example the different usage of the CUG codon (Santos and Tuite, 1995). It is estimated that about 100–150 million years ago, S. cerevisiae underwent a whole genome duplication (WGD) (Sugino and Innan, 2005). It is after this that C. glabrata has diverged from S. cerevisiae as this pathogen shows remnants of the WGD (). Therefore, C. glabrata and S. cerevisiae are phylogenetically much closer related to each other than to C. albicans. This difference in lifestyles also has an influence on their nutrient sensing mechanisms. C. glabrata is able to sense the broad range of nutrient availability which varies tremendously between host and environment. In the human host, the fungal cells proliferate under both nutrient-rich and nutrient-poor conditions; however, the range of nutrient concentrations is smaller (Figure 1). The adaptation to different environments is the key to successful survival of these pathogens (; ).
Figure 1
To elucidate the nutrient-induced signal transduction pathways in human fungal pathogens, the model yeast species S. cerevisiae has been used extensively. Three different glucose-sensing pathways have been described in S. cerevisiae. First, glucose binds to either the high affinity sensor ScSnf3 or the low affinity sensor ScRgt2, which results in the induction of hexose transporter (HXT) genes (Ozcan et al., 1996). Second, glucose also binds to the G-protein coupled receptor (GPCR) ScGpr1 resulting in the activation of its G-protein ScGpa2 and subsequent activation of adenylate cyclase (ScCyr1). This leads to an increase in cAMP levels and the activation of protein kinase A (PKA; Rolland et al., 2000; Thevelein et al., 2000). Full activation of this pathway also requires sugar phosphate-induced activation of ScCdc25 and ScRas (Toda et al., 1985; Rolland et al., 2000; Thevelein et al., 2000; Peeters et al., 2017). Once inside the cells, glucose causes repression of genes responsible for gluconeogenesis and respiration via the glucose repression pathway (Kayikci and Nielsen, 2015). This last one also has a negative effect on the expression of genes involved in the use of alternative carbon sources. For example, the GAL genes are repressed by the transcriptional inhibitor ScMig1, which is activated by high levels of glucose. This hinders the use of galactose as a carbon source when glucose is present in the medium. Candida species show many similarities with these pathways found in S. cerevisiae suggesting a same ancestor. However, also many differences in sensing and signaling have been described. This is to be expected, as Candida species have the ability to turn virulent whereas baker’s yeast generally does not. For example, glucose functions as a morphogen to influence yeast-to-hyphae transition in C. albicans (Maidan et al., 2005b). Additionally, glucose and other sugars have an influence on the ability of Candida cells to form a biofilm (Ng et al., 2016; Pemmaraju et al., 2016). This is a “city of microbes” where microorganisms live densely populated and surrounded by an excreted extracellular matrix as protection. Furthermore, sensing sugars is important for other virulence attributes, including adhesion, oxidative stress resistance, invasion, and antifungal drug tolerance (Vargas et al., 1993; Jin et al., 2004; Rodaki et al., 2009; Manns et al., 2014). In this review, we describe the different sugar sensing mechanisms in C. albicans and C. glabrata and compare them to the situation in S. cerevisiae. This is shown in Figure 2 for S. cerevisiae and in Figure 3, 4 for C. albicans and C. glabrata, respectively.
Figure 2

Sugar sensing and signaling in S. cerevisiae. The sugar-sensing network in S. cerevisiae. The faded arrows and proteins represent the situation when sugars are absent. All proteins are represented as circles. Activation is represented with green arrows, while red arrows indicate inhibition. When the ScSnf3/ScRgt2 receptors sense glucose, ScYck1 phosphorylates ScStd1 and ScMth1. These are subsequently ubiquitinated by ScGrr1 and broken down by the proteasome. In the absence of glucose, they function together with ScRgt1 to repress transcription of the ScHXT genes. The ScHxt transporters allow glucose to enter the cells after which this monosaccharide is converted to pyruvate during glycolysis. One of the intermediates of this pathway is fructose 1,6 bisphosphate which is found to activate ScCdc25. In this way, ScCdc25 allows the exchange of GDP to GTP on the ScRas proteins. ScRas is now activated and stimulates ScCyr1. Next to activation by ScRas, ScCyr1 needs the stimulus coming from ScGpr1 to be fully activated. ScGpr1 is activated by sensing extracellular glucose which allows the exchange of GDP to GTP on the ScGpa2 proteins. ScGpa2-GTP activates ScCyr1. ATP is converted into cAMP after complete activation of ScCyr1. cAMP binds to the regulatory subunits of PKA (Bcy1) thereby causing them to release the catalytic subunits (ScTpk1, 2, and 3) causing PKA activation. The absence of glucose triggers the phosphorylation of ScSnf1 by ScSak1, ScElm1, and ScTos3. The activated ScSnf1 protein phosphorylates ScMig1, preventing this protein to enter the nucleus. In the presence of glucose, both ScSnf1 and ScMig1 are dephosphorylated by ScReg1, allowing ScMig1 to enter the nucleus and function as a transcriptional repressor of the ScGAL genes and ScMTH1. When galactose is present (in the absence of glucose), it can enter the cells via the ScGal2 permease. Galactose can bind to ScGal3, which sequesters ScGal80 and prevents the latter to bind ScGal4. ScGal4 can thereby actively function in the nucleus as a transcription factor, inducing the expression of the ScGAL genes and of ScMTH1.
Figure 3

Sugar sensing and signaling in C. albicans. The sugar-sensing network in C. albicans. The faded arrows and proteins represent the situation when sugars are absent. All proteins are represented as circles. Activation is represented with green arrows, while red arrows indicate inhibition. The dashed lines represent the hypothesis. When the CaHgt4 receptor senses glucose, galactose, maltose, or fructose, CaYck2 phosphorylates CaStd1. This is subsequently ubiquitinated by CaGrr1 and broken down by the proteasome. In the absence of a carbon source, CaStd1 functions together with CaRgt1 to repress transcription of the CaHGT genes. The CaHgt transporters allow sugars to enter the cells. When glucose enters the cells, it is converted to pyruvate during glycolysis. In the presence of extracellular glucose, an active CaCdc25 allows the exchange of GDP to GTP on the CaRas proteins. CaRas is now activated and stimulates CaCyr1. Next to activation by CaRas, CaCyr1 needs the stimulus coming from CaGpr1 to be fully activated. CaGpr1 is activated by sensing extracellular molecules, presumably methionine or lactate, which allows the exchange of GDP to GTP on the CaGpa2 proteins. CaGpa2-GTP activates CaCyr1. ATP is converted into cAMP after complete activation of CaCyr1 by CaRas and by CaGpa2. cAMP binds to the regulatory subunits of PKA (CaBcy1) thereby causing them to release the catalytic subunits (CaTpk) causing PKA activation. When N-acetylglucosamine enters the cells via CaNgt1, it can be metabolized to fructose-6-phosphate by CaHxk1, CaDac1, and CaNag1. The hypothesis is that fructose-6-phosphate can be converted into galactose by the action of the CaGal enzymes. The galactose metabolism in C. albicans remains a mystery, but the expression of the CaGAL genes is found to be regulated by CaCph1 and CaRgt1. CaSnf1 can be phosphorylated by CaSak1 but no more in this pathway has been revealed.
Figure 4

Sugar sensing and signaling in C. glabrata. The sugar-sensing network in C. glabrata. The faded arrows and proteins represent the situation when sugars are absent. All proteins are represented as circles. Activation is represented with green arrows, while red arrows indicate inhibition. When the CgSnf3/CgRgt2 receptors sense glucose CgYck1 phosphorylates CgStd1. This is subsequently ubiquitinated by CgGrr1 and broken down by the proteasome. In the absence of glucose, CgStd1 functions together with CgRgt1 to repress transcription of the CgHXT genes. The CgHxt transporters allow glucose to enter the cells.
Glucose Sensing and Signaling
As glucose is the most abundant hexose sugar on earth, it is the preferred carbon source for many species. Due to its central role in metabolism, glucose functions both as a ligand for receptors and as a substrate for transporters (Towle, 2005). As a result, glucose serves as starting material for the biosynthesis of other biomolecules as well as for energy production via fermentation or respiration (Verduyn, 1991; Rodrigues et al., 2006).
Sugar Receptor-Repressor (SRR) Pathway
Saccharomyces cerevisiae encodes 17 hexose transporters which all have different affinity and kinetic properties in response to glucose (Ozcan and Johnston, 1995). Furthermore, they all consist out of 12 transmembrane domains (TMDs; Ozcan and Johnston, 1999). Two of these proteins, ScSnf3 and ScRgt2, are not able to transport glucose, but sense this sugar. Therefore, they have an additional long C-terminal extension compared to the sugar transporters (Ozcan and Johnston, 1999). ScSnf3 is the high-affinity sensor while ScRgt2 responds to higher levels of glucose (Ozcan et al., 1996;
Even though glucose is of major importance for C. glabrata, the sugar receptor-repressor (SRR) pathway has not yet been investigated in detail in this species (Ng et al., 2016). Only 11 Hxts are identified in C. glabrata compared to 17 in S. cerevisiae and 20 in C. albicans. It is, however, possible that clinical C. glabrata isolates express more hexose transporters than the CBS138 laboratory strain because they have evolved within the human host. This hypothesis is based on recent findings regarding the emergence of antifungal resistance genes and the number of adhesins present in C. glabrata clinical isolates (Vale-Silva et al., 2017; Salazar et al., 2018). The glucose sensor CgSnf3 was first characterized by the group of Than as the most important and high affinity sensor of environmental glucose concentrations (Ng et al., 2015). CgSnf3 and CgRgt2 are 59 and 60% similar to their orthologs in S. cerevisiae, respectively. These putative glucose sensors also consist out of 12 TMDs and have a long cytoplasmic tail. In comparison to the situation in S. cerevisiae, CgSnf3 is important for growth on low physiological glucose levels (0.01–0.1%). The sensor is less important for growth on high glucose levels (1–2%) as it is probably not expressed under these conditions. Deletion of CgSNF3 results in downregulation of four out of nine hexose transporter genes (Ng et al., 2015). Furthermore, the disruption of CgSNF3 leads to the downregulation of CgYCK1, CgYCK2, and CgSTD1. This suggests that they work downstream of this high affinity glucose sensor. A Cgsnf3Δ mutant is also more susceptible to phagocytosis. This indicates that this receptor is important in host niches with low glucose levels, like inside macrophages (Ng et al., 2015). Whether this is due to the fact that some high affinity glucose transporters or other downstream genes are not expressed remains to be investigated. However, the Cgsnf3Δ mutant has no defect in the formation of biofilms. This suggests that other sensors must be necessary to sense the nutrient flow in this environment or that the glucose level is still sufficient (Ng et al., 2015). CgRGT2 is responsive to high surrounding glucose concentrations, indicating its low affinity, similar to ScRgt2 (see Figure 4). These findings suggest a conserved glucose signaling pathway between S. cerevisiae and C. glabrata. From the little knowledge there is, it is speculated that this pathway plays an important role in the virulence of this pathogenic fungus.
In C. albicans, the glucose transporter gene family was first studied by the group of Shen (
Comparing the Cgsnf3Δ mutant with the C. albicans Cahgt4Δ mutant, the effect for growth on low glucose concentrations is different. The CaHgt4 sensor is important for fermentative growth while CgSnf3 is essential under both respiratory and fermentative conditions (
Sugar Sensing and Signaling Toward PKA
A second mechanism by which S. cerevisiae is able to sense glucose and subsequently activate PKA is via the GPCR system, consisting of ScGpr1 and ScGpa2. The ScGpr1 receptor is able to sense both sucrose and glucose. Its affinity for glucose is very low, namely, a Ka of 75 mM (Rolland et al., 2000). This is related to the function of this GPCR in stimulating the switch between respirative/gluconeogenic growth and fermentative growth which only happens at glucose concentrations above 20 mM (Thevelein, 1991; Rolland et al., 2000). Other fermentable sugars like fructose, mannose, and galactose do not activate ScGpr1. However, mannose has an antagonistic effect on this sensor. Glucose, sucrose, and mannose all have very similar structures, so probably the position of the hydroxyl group on the second carbon atom is crucial for the activation of ScGpr1 (Lemaire et al., 2004). When ScGpr1 senses glucose or sucrose, it is able to activate ScGpa2. In its GTP bound state, ScGpa2 is able to activate ScCyr1, which is peripherally bound to the plasma membrane and converts ATP into cAMP (Uno et al., 1985; Nakafuku et al., 1988; Mitts et al., 1990; Kraakman et al., 1999). Increased cAMP levels subsequently activate PKA by binding to the regulatory subunit ScBcy1 releasing the catalytic subunits ScTpk1, 2, and 3. However, full activation of this pathway by glucose also requires glucose transport and its phosphorylation by one of the hexose kinases (Rolland et al., 2000; Thevelein et al., 2000). The molecular mechanism of this activation remained unclear until it was recently shown that the glycolytic intermediate, fructose-1,6-bisphosphate (FbP), is able to bind ScCdc25 thereby activating Ras (Peeters et al., 2017). The level of FbP is known to be controlled by multiple pathways indicating that this metabolite is important for the response of the cells to different levels of glucose (Hers, 1984). Activated GTP-bound ScRas binds to ScCyr1, leading to the activation of PKA (Toda et al., 1985; Jacquet, 1997). Both pathways upstream of ScCyr1 are required for full activation of PKA (Figure 2).
In the C. glabrata genome, orthologs of ScGpr1 and ScGpa2 are present, but so far, they are not characterized. Recently, a FRET system has been developed to measure PKA activity as well as cAMP levels in C. glabrata cells. Here, it is shown, that after addition of glucose to derepressed cells, both the intracellular cAMP level increases and PKA is activated. These findings suggest that, similar to the situation in S. cerevisiae, glucose stimulates the activation of PKA via cAMP (
The GPCR system of ScGpr1 and ScGpa2 is also present in C. albicans, where CaGpr1 has 43% sequence identity with its S. cerevisiae ortholog. Furthermore, the main structures like the seven transmembrane regions and the second half of the third cytosolic loop are conserved (Miwa et al., 2004). However, it seems that in this species the CaGpr1 receptor does not sense sugars as the receptor is dispensable for the glucose-induced increase in cAMP levels. CaGpr1 is clearly not required for the glucose-induced cAMP increase. This increase depends on the CaCdc25 and CaRas2 protein (Maidan et al., 2005a). However, the GPCR system seems to be upstream of the PKA pathway as addition of exogenous cAMP restores the hyphal defect of the Cagpr1Δ mutant on solid hyphae-inducing media. This morphogenesis defect is also restored by expression of a constitutively active CaGPA2 or by overexpression of CaTPK1, a catalytic subunit of PKA, indicating that CaGpr1 and CaGpa2 are upstream of the PKA pathway (Figure 3). This is further supported by the fact that the Cagpr1Δ mutant and the Cagpa2Δ mutant show the same morphogenesis phenotype as the Cagpr1Δ Cagpa2Δ double mutant (Maidan et al., 2005a). This raises the question about which ligand is able to activate CaGpr1. The lab of Van Dijck showed that methionine might be the ligand of CaGpr1 as this receptor is required for the methionine-induced and PKA mediated morphogenesis (Maidan et al., 2005a; Schrevens et al., 2018). Furthermore, it was shown that CaGpr1 internalizes in the presence of methionine, indicating ligand-induced internalization (Maidan et al., 2005a). Finally, physiological concentrations of methionine provide the strongest filamentation phenotype (Maidan et al., 2005b). However, more recently, it was shown that lactate may be the ligand of CaGpr1 and causes the internalization of this receptor (
Glucose Repression Pathway
A third important pathway in glucose sensing is the glucose repression pathway. This pathway has a negative effect on the use of alternative carbon sources and respiration (
Also C. glabrata has a ScSnf1 ortholog with high similarity to its orthologs in S. cerevisiae and C. albicans (
In contrast to S. cerevisiae, C. albicans is able to use alternative carbon sources in the presence of glucose. This is due to posttranscriptional rewiring during the evolution of this pathogen (Sandai et al., 2012). Glucose still causes the degradation of certain gene transcripts involved in the metabolism of these other carbon sources, but the protein levels stay at a constant level. For example, isocitrate lyase (Icl1), a protein working in the glyoxylate cycle, is not ubiquitinated in the presence of glucose. On the other hand, when ScICL1 is expressed in C. albicans, ScIcl1 is degraded upon glucose addition. This indicates that the ubiquitin-dependent catabolite inactivation machinery is still present in C. albicans. However, enzymes working in the gluconeogenic and glyoxylate pathway of this pathogen are missing this ubiquitination site present in their orthologs in S. cerevisiae. Therefore, they are not degraded when glucose is present (Sandai et al., 2012). From further research, it became clear that the absence of this ubiquitination site is important for the virulence of C. albicans. When such a site is added to CaIcl1, it is degraded in the presence of glucose and the cells have a reduced ability to colonize the gastrointestinal (GI) tract and to cause a systemic infection in mice. This indicates that the colonization and infection of the human host are enhanced by flexible carbon utilization (
As mentioned above, there are similarities as well as differences in the glucose sensing and signaling pathways between S. cerevisiae and Candida species. The SRR pathway seems to be very similar, while the glucose repression pathway seems to work differently. Also, for the activation of the PKA pathway, there are both similarities and differences observed. In C. albicans, it seems that other nutrients are also able to activate PKA using the same sensor. This is probably due to the fact that the Candida species are pathogenic fungi and need to use all the available carbon sources to become a successful pathogen. It is not a surprise to observe these differences between signal transduction pathways in S. cerevisiae and C. albicans as similar rewiring has been described for a number of pathways including for example the galactose metabolism circuitry and the regulation of stress response (Martchenko et al., 2007a;
Galactose Sensing
Galactose metabolism is strongly regulated by the type of carbon source present in the environment. Most of the genes from this pathway are clustered in the ScGAL regulon, which is a genetic switch for the utilization of galactose in the absence of glucose (Lohr et al., 1995;
The regulation of galactose metabolism in C. albicans seems to be rewired compared to the one seen in S. cerevisiae. Whereas most of the galactose structural genes (CaGAL1, CaGAL10, CaGAL7, CaGAL2) are conserved between C. albicans and S. cerevisiae, this is not the case for the galactose regulatory genes. No ScGAL3 or ScGAL80 orthologs seem to be present in the C. albicans genome. A strong conservation is observed for CaGal4, which shares 86% sequence identity with ScGal4. However, the activation domain and the negatively charged region, necessary for interaction with Gal80, is missing in C. albicans (Martchenko et al., 2007a,b). In contrast to the situation in S. cerevisiae, the disruption of CaGAL4 does not change the expression of the CaGAL genes. Surprisingly, the CaHgt4 sensor is required as a low affinity galactose sensor that begins to respond to galactose at 0.6% (
The galactose-sensing signal transduction pathway in C. albicans was one of the first pathways where a clear rewiring was observed at the transcriptional level when compared to the situation in S. cerevisiae. The difference in regulation of the Leloir genes in both fungi may be due to the fact that galactose plays an important role in certain virulence processes of C. albicans, namely, adhesion and biofilm formation, which are less important in S. cerevisiae (Jin et al., 2004; Martchenko et al., 2007a). In contrast to baker’s yeast, C. albicans uses glucose and galactose at the same time, which may be of importance when colonizing the GI tract of the human host in early stages of life (
Sensing of Other Sugars
N-Acetyl Glucosamine
The amino-sugar N-acetylglucosamine (GlcNAc), which is present in the human host in mucosal layers, is used as a carbon and nitrogen source by C. albicans. GlcNAc is an important signaling molecule and is also the monosaccharide of chitin. Therefore, GlcNAc forms part of the fungal cell wall. GlcNAc is transported into the cells by the CaNgt1 transporter and is metabolized by CaNag1, CaHxk1, and CaDac1 into fructose-6-phosphate, which is further metabolized to pyruvate (Simonetti et al., 1974;
Apart from the genes described above, many other genes are induced in the presence of GlcNAc (Supplementary Table S1) (
Fructose and Mannose
Together with glucose, mannose and fructose belong to the top three of most preferred sugars for yeast species. In S. cerevisiae, fructose and mannose have similar sensing and transport mechanisms as glucose via the SRR pathway. Both sugars are sensed by ScSnf3/ScRgt2 and the extracellular fructose/mannose level has an effect on the expression of the hexose transporter genes (
This broad substrate sensing is conserved for the C. albicans CaHgt4 sensor. Apart from glucose, it also senses fructose and mannose as a Cahgt4Δ mutant is strongly impaired for growth on either sugar, with a more severe effect on fructose. The sensing of fructose and mannose induces the expression of seven of the 20 hexose transporters genes under which, CaHGT12 and CaHGT7 (
Sugar and Virulence
Taken together, both similarities and differences are found in the sugar sensing and signaling mechanisms of S. cerevisiae and the Candida species. The most important observation is that C. albicans is able to use multiple carbon sources at the same time, while glucose represses the use of all other carbon sources in S. cerevisiae (
Glucose has an effect on different virulence traits of both C. albicans and C. glabrata. One of the most important virulence factors of these pathogens is their ability to form biofilms. In this heterogenic community, the cells show a differentially active metabolism. Those which are in contact with glucose have an upregulation of glycolysis while others have an upregulated gluconeogenesis (Rodaki et al., 2009). During biofilm maturation, C. albicans forms hyphae, which are important for structural support, adherence to other cells and fulfillment of their nutrient needs (
Second, another important virulence factor of Candida species is their high stress tolerance. Increasing glucose concentrations (0.01–1%) lead to upregulation of stress resistance genes in C. albicans, causing an increased resistance to azole antifungal drugs and osmotic stress (Rodaki et al., 2009;
The glucose sensing pathways of C. albicans and C. glabrata described above are of importance for systemic infections. Many involved mutants have been tested in systemic mice models showing various results. It is known that the Cahgt4Δ mutant is not able to form hyphae. Consequently, these cells have a delayed virulence in mice. Where wild type cells can kill 90% of the mice after 5 days, the Cahgt4Δ mutants were only able to do this after 14 days (
From the findings presented above, it is clear that blood sugar levels have an effect on virulence by Candida albicans cells (Lorenz et al., 2004; Rodaki et al., 2009). Furthermore, C. glabrata cells isolated from the blood have a higher tendency toward biofilm formation than other cells (Ng et al., 2016). Also sugar related diseases have an effect on the virulence of these pathogens. For example, patients with diabetes have a higher chance of getting a systemic Candida infection compared to non-diabetic people (Rodaki et al., 2009). Furthermore, also a higher amount of oral Candida infections occur in people suffering from diabetes mellitus compared to healthy individuals (Zomorodian et al., 2016). This indicates that colonization and invasion by Candida species is enhanced via dietary glucose (Vargas et al., 1993). Constituently, we can conclude that the different sugar sensing and signaling pathways described above are important factors for both virulence and pathogenesis of C. albicans and C. glabrata.
Concluding Remarks
As Candida species are an increasing problem, it is important to investigate their main virulence factors in order to find proper treatments. We focused on C. albicans and C. glabrata, because they are the two most isolated Candida species. However, in the last 10 years, there has been a big increase in other Candida species like Candida auris and Candida krusei (Jeffery-Smith et al., 2018). The problem with these species is that they show high antifungal resistance toward the current antifungal drugs which leads to major concerns. Further, C. glabrata is found to be inherently more resistant to azole drugs (Whaley and Rogers, 2016). Finally, more and more C. albicans clinical isolates show antifungal drug resistance (Whaley et al., 2016). This indicates the need for new antifungal drug targets and corresponding drugs. In this review, we show that sugar sensing and signaling are important for Candida species to turn virulent. Therefore, better understanding of the sugar sensing and metabolism pathways offer valuable antifungal drug targets. As stated, many of the players in these pathways are conserved between S. cerevisiae, C. albicans, and C. glabrata. Targeting these players result in a broad-spectrum antifungal drug against fungi. This kind of drug is desired by clinics and pharmaceutical companies, as nowadays one of the biggest issues with fungal infections is the diagnosis of the species (Perfect, 2017). For example, targeting fungal Gpr1 proteins will not lead to a fungistatic or fungicidal drug. However, this protein is important for morphogenesis and blocking this protein prevents the cells to turn virulent. This may be a better strategy for commensal fungi which are also present in a healthy human body, as it does not block normal cell growth (
In the future, these pathways should be unraveled in different pathogenic fungi and similarities should be marked. Similar players in different fungal species which are not conserved in humans are the desired drug targets nowadays. Furthermore, connections between the different pathways should be elucidated to better understand sugar signaling in pathogenic fungi and to find appropriate drug targets.
Statements
Author contributions
All authors contributed to the writing of the manuscript.
Funding
SW was supported by a Strategic Basic (SB) Research grant from the Fund for Scientific Research-Flanders (FWO; Grant No. 1S91118N). This work was further supported by a grant from the KU Leuven Research Fund (C14/17/063).
Acknowledgments
We would like to acknowledge Nico Vangoethem and Frederik Van Leemputte for their help with the figures. We also thank Griet Van Zeebroeck to proofread this review.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling Editor declared a past co-authorship with one of the authors PV.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2019.00099/full#supplementary-material
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Summary
Keywords
Candida albicans, Candida glabrata, Saccharomyces cerevisiae, sugar sensing, sugar transport, Snf3/Rgt2-Hgt4, Gpr1/Gpa2, Snf1/Mig1
Citation
Van Ende M, Wijnants S and Van Dijck P (2019) Sugar Sensing and Signaling in Candida albicans and Candida glabrata. Front. Microbiol. 10:99. doi: 10.3389/fmicb.2019.00099
Received
30 November 2018
Accepted
16 January 2019
Published
30 January 2019
Volume
10 - 2019
Edited by
Neil Andrew Brown, University of Bath, United Kingdom
Reviewed by
Rebecca Anne Hall, University of Birmingham, United Kingdom; Delma S. Childers, University of Aberdeen, United Kingdom; Fabien Cottier, University of Birmingham, United Kingdom
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© 2019 Van Ende, Wijnants and Van Dijck.
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*Correspondence: Patrick Van Dijck, patrick.vandijck@kuleuven.vib.be
†These authors have contributed equally to this work
This article was submitted to Fungi and Their Interactions, a section of the journal Frontiers in Microbiology
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