Skip to main content

Functional characterisation of the non-essential protein kinases and phosphatases regulating Aspergillus nidulans hydrolytic enzyme production



Despite recent advances in the understanding of lignocellulolytic enzyme regulation, less is known about how different carbon sources are sensed and the signaling cascades that result in the adaptation of cellular metabolism and hydrolase secretion. Therefore, the role played by non-essential protein kinases (NPK) and phosphatases (NPP) in the sensing of carbon and/or energetic status was investigated in the model filamentous fungus Aspergillus nidulans.


Eleven NPKs and seven NPPs were identified as being involved in cellulase, and in some cases also hemicellulase, production in A. nidulans. The regulation of CreA-mediated carbon catabolite repression (CCR) in the parental strain was determined by fluorescence microscopy, utilising a CreA::GFP fusion protein. The sensing of phosphorylated glucose, via the RAS signalling pathway induced CreA repression, while carbon starvation resulted in derepression. Growth on cellulose represented carbon starvation and derepressing conditions. The involvement of the identified NPKs in the regulation of cellulose-induced responses and CreA derepression was assessed by genome-wide transcriptomics (GEO accession 47810). CreA::GFP localisation and the restoration of endocellulase activity via the introduction of the ∆creA mutation, was assessed in the NPK-deficient backgrounds. The absence of either the schA or snfA kinase dramatically reduced cellulose-induced transcriptional responses, including the expression of hydrolytic enzymes and transporters. The mechanism by which these two NPKs controlled gene transcription was identified, as the NPK-deficient mutants were not able to unlock CreA-mediated carbon catabolite repression under derepressing conditions, such as carbon starvation or growth on cellulose.


Collectively, this study identified multiple kinases and phosphatases involved in the sensing of carbon and/or energetic status, while demonstrating the overlapping, synergistic roles of schA and snfA in the regulation of CreA derepression and hydrolytic enzyme production in A. nidulans. The importance of a carbon starvation-induced signal for CreA derepression, permitting transcriptional activator binding, appeared paramount for hydrolase secretion.


Lignocellulolytic fungi secrete a complex arsenal of enzymes that synergistically deconstruct plant cell wall polysaccharides. The capacity of these enzyme cocktails to release utilisable sugars from non-food lignocellulosic material represents an opportunity for the development of a new generation of biofuels, produced directly from plant biomass without the use of extensive pre-treatment. However, efficiencies in industrial enzyme production require dramatic improvement, as the presence of readily metabolisable carbohydrates strongly impedes cellulase and hemicellulase production via carbon catabolite repression (CCR) [1, 2]. Genome-wide studies have provided insights into how fungi alter transcription, metabolism and enzyme secretion in response to carbohydrate availability [36]. An enhanced understanding of CCR in lignocellulolytic fungi is required for the engineering and exploitation of such regulatory networks to increase enzyme secretion, reducing the costs involved in enzyme production and increasing fermentation efficiency.

In fungi, lignocellulolytic enzyme production is tightly controlled at the transcriptional level by the competitive action of transcriptional activators and repressors [7]. In Aspergillus nidulans, Hypocrea jecorina and Neurospora crassa the orthologous repressors CreA/Cre1 have been shown to block the transcription of genes associated with the utilisation of alternate carbon sources when glucose is present, including cellulolytic and xylanolytic enzymes [810]. The A. nidulans CreA protein has two Cys2His2 zinc finger DNA binding structures that demonstrate high similarity to the zinc fingers of the Mig1 repressor involved in Saccharomyces cerevisiae CCR [11] and has been demonstrated to be regulated at both the transcriptional and post-translational level [12].

The transcription of genes involved in alternative carbon utilisation also requires the action of transcriptional inducers. In Aspergilli the ethanol utilisation pathway is tightly controlled by CreA-mediated CCR and positively induced by the regulon specific transcription factor AlcR. The positive regulator, AlcR, has overlapping binding sites with CreA, suggesting a competitive binding mode of action, while nucleosomal positioning and chromatin organisation has been shown to play a role [13]. Other alternative carbon source genes adopt a similar mechanism of competitive induction including the conserved transcription factors AraR and XlnR, which positively control hemicellulase expression [14]. Interestingly, in H. jecorina the cellulase activator, Ace2, has been shown to bind to the same promoter motif as XlnR, while the Hap2/3 complex opens the chromatin structure, promoting nucleosome reassembly and derepression [15]. In N. crassa and A. nidulans, two newly identified transcription factors, ClrA and ClrB, have been shown to be required for cellulase activity and expression [16].

Sensing the external environment and intracellular energetic status ensures that a fungal organism can balance the requirements for growth and cell survival. S. cerevisiae has served as a model organism for the study of such cellular responses. However, many differences are known to exist in filamentous fungi, due to the adoption of different life styles. Protein phosphorylation state represents the most common form of post-translational modification. Protein kinases and phosphatases perform a central role in the transduction of such signals via modulating protein phosphorylation state and activity, thus coordinating subsequent responses. The importance of protein kinases and phosphatases is demonstrated by the fact that 30% of the S. cerevisiae genome is modified by these proteins, while collectively kinase and phosphatase genes represent only 6% of the genome [17].

The most well studied examples included the mitogen-activated protein kinases (MAPK), which form the pheromone response, filamentous growth, the osmotic stress response and cell wall integrity pathways. The sensing of glucose or pheromones by the G-protein coupled receptors (GPCRs), results in the activation of the cAMP-protein kinase A (PKA) pathway and the MAPKs cascade, which influence filamentous growth [18]. Intracellularly, glucose is phosphorylated by hexo- and/or gluco-kinases activating Ras2 signalling that also induces the filamentous growth cAMP-PKA and MAPK pathways [19]. Apart from the well-studied roles in growth, fungal homologues of the S. cerevisiae pheromone response/filamentous growth MAPKs have been shown to influence the secretion of hydrolytic enzymes in various plant pathogenic fungi including; Alternaria brassicicola, Cochliobolus heterostrophus and Fusarium oxysporum[2022].

Homologues of the S. cerevisiae sensors of cellular energetic state Snf1 (sucrose non fermenting) and TOR (target of rapamycin) have been widely identified in filamentous fungi [2328]. The Snf1 has been demonstrated to be required for growth on alternative carbon sources and also regulates the expression of 400 genes in response to carbon exhaustion [29]. The absence of the Snf1 homologue in filamentous fungi, including Cochliobolus carbonum, Ustilago maydis and F. oxysporum, has been shown to reduce hydrolytic enzyme production [2426]. The essential TOR kinase complexes control cell growth and metabolism in response to environmental cues [30]. TOR has traditionally been related to nitrogen utilisation. However, TOR signalling also influences the expression of AreA-controlled genes involved in carbon metabolism [28]. Therefore TOR may perform dual roles in integrating both carbon and nitrogen signals. Different to the aforementioned kinases, the A. nidulans genome contains fewer phosphatases (, suggesting that each phosphatase demonstrates less specificity and dephosphorylates multiple kinase targets. The known kinase/phosphatase signalling pathways have been proven to be highly conserved and closely interlinked, either regulating one another or the same gene sets, enabling the fine tuning of cellular responses to the extra- and intracellular environment.

Despite recent advances in the understanding of hydrolytic enzyme regulation, less is known about how different carbon sources are sensed and which signalling cascades are subsequently activated, thus coordinating the adaptation of cellular metabolism and hydrolase secretion to the respective carbon source [16, 31, 32]. Subsequently, this study identified 11 non-essential protein kinases (NPKs) and seven phosphatases (NPPs) involved in cellulase and in some cases also hemicellulase production in A. nidulans. The involvement of the identified NPKs in starvation/cellulose-induced responses and CreA derepression was assessed by transcriptomics and fluorescence microscopy of the CreA::GFP in the parental and NPK mutant backgrounds. Collectively, this study demonstrated the overlapping, synergistic roles of the NPKs schA and snfA in the regulation of CreA derepression and hydrolytic enzyme production. In addition, a period of carbon starvation appeared paramount for CreA derepression and hydrolase induction.


Screening the NPKs collection for involvement in cellulase production

Eleven of the 103 NPKs screened demonstrated a reduction in total protein content when grown in liquid minimal media (MM) supplemented with AVICEL (synthetic cellulose) as the sole carbon source for 10 days, reflecting the reduction in fungal biomass. However, the 11 NPKs did not show a significant reduction in dry weight when cultured in complete media (CM) for 48 h (p < 0.01) (Figure 1). The minor reduction in growth of the ∆pkaC, ∆sakA and ∆yakA strains on CM was substantially less than the reduction of growth on MM plus AVICEL when compared to the parental strain. The majority of these 11 NPKs did not demonstrate a reduction in radial growth on solid CM or MM plus AVICEL, except for the ∆mpkA and ∆pkaC strains which showed extremely decreased radial growth on both solid media (data not shown). The function of these 11 NPKs was determined via homology (BLASTp) with S. cerevisiae, if not already characterised in Aspergilli, revealing NPKs involved in nutrient/cell energy status sensing and the regulation of cell growth and endocytosis (Table 1). Several of the identified NPKs are known to be involved in the cAMP signalling pathway (pkaC, schA, ypkA), alternative carbon source usage (snfA, sakA), starvation responses (atmA, pkpA) and endo- exo-cytosis, polarisation or morphogenesis (cbkA, fpkA, mpkA, prkA).

Figure 1
figure 1

The AVICEL-specific reduction in growth of eleven NPKs. The dry weight of the NPKs when grown in complete media (A) and the total protein content of the NPKs when grown directly on minimal media plus AVICEL as a sole carbon source (B). One-tailed t-test (* P <0.05, ** P < 0.01, *** P < 0.001).

Table 1 The eleven NPKs that demonstrated reduced growth on AVICEL show a conserved theme in nutrient sensing and cell growth

Subsequently, the endocellulase activity of these 11 NPKs and the transcription of two major endoglucanase genes (eglA/B) were determined in order to confirm that these NPKs were related to cellulase regulation and/or CCR. Both endocellulase activity and eglA/B transcription were dramatically reduced in 10 of the 11 NPKs after 5 days growth in MM plus AVICEL (Figure 2). Only the ∆mpkA was shown to have similar to parental levels of endocellulase activity. The ∆mpkA strain was subsequently excluded for further analysis. The endoxylanolytic activity of the 10 NPKs grown on xylan for 3 days, separated the NPKs into two groups (Figure 2), those which influenced both cellulase and xylanase activity including the NPKs involved in cAMP signalling (∆atmA, ∆cbkA, ∆pkaC, ∆schA, ∆yakA) and those which influenced only cellulase production including the NPKs involved in alternative carbon source usage (∆pkpA, ∆prkA, ∆sakA, ∆snfA).

Figure 2
figure 2

The identified NPKs mutants demonstrated a reduction in the transcription, and capacity of, hydrolytic enzymes. The parental (WT), NPKs mutant strains were grown in MM plus 1% fructose overnight and then transferred to AVICEL or xylan as a sole carbon source for an additional 5 or 3 days, respectively. The endocellulase activity of the 5 day AVICEL culture (A). The relative expression of the major endoglucanase genes, eglA and eglB, in the mycelia isolated from the cultures used to determine endocellulase activity (B). The endoxylanase activity of the xylan cultures (C).

Screening of the non-essential phosphatase (NPP) collection for involvement in cellulase production

The phosphatase collection, containing 28 NPPs, was also screened for reduced growth on AVICEL as a sole carbon source. However, seven NPPs were unable to grow in MM containing glucose or AVICEL (AN0129, AN0914, AN4544, AN4896, AN5722, AN10077 and AN10138), but grew on complete media. Subsequently, it was not possible to study the role of these NPPs in relation to growth on AVICEL as a sole carbon source and hydrolase production. The NPPs that could grow on MM plus glucose were screened for reduced growth on AVICEL. Seven NPPs showed reduced growth on MM plus AVICEL, in terms of total protein, and demonstrated no significant difference in growth on MM plus 2% glucose (Figure 3). The AVICEL specific reduction in growth was correlated with a reduction in endocellulase activity and in the expression of eglA/B (Figure 3).

Figure 3
figure 3

The seven NPPs identified as being required for growth on AVICEL. The dry weight of the NPPs when grown in MM plus 2% glucose (A) and the total protein content of the NPPs when grown directly on MM plus AVICEL as a sole carbon source (B). The parental (WT) and NPPs mutant strains were grown in MM plus 1% fructose overnight and then transferred to AVICEL as a sole carbon source for an additional 5 days. The endocellulase activity of the AVICEL culture (C) and the relative expression of two endoglucanase genes, eglA and eglB, in the mycelia isolated from the same cultures (D).

The function of the identified NPPs, if not already characterised in Aspergilli, was determined via homology to S. cerevisiae (Table 2). Several of the NPPs identified with reduced endocellulase activity had a role in cell cycle (ltpA, cdcA, sitA) and MAPK regulation (ptcA, ptpA). In S. cerevisiae Ppg1A is required for glycogen accumulation, while also associating with Tap42 and Sit4 which are involved in TOR signalling.

Table 2 The functional description of the seven NPPs that demonstrated reduced growth on AVICEL and reduced eglA/B transcription

Protein kinase A (PKA) activity is hyperactivated upon carbon starvation and growth on AVICEL

The identification of several NPKs involved in the cAMP signalling pathway as being required for both cellulase and xylanase production resulted in an interest to investigate PKA activity in the parental strain in the presence of multiple carbon sources. Overnight 1% fructose MM cultures were transferred to alternative carbon sources for 1–8 h and PKA activity determined. No substantial difference in PKA activity was noted between various carbon sources, except for when the mycelium was transferred to AVICEL or no carbon containing media for 8 h, in which PKA activity approximately doubled (Figure 4). Only a very low, constant level of PKA activity was observed in the ∆pkaC mutant on all carbon sources. In the absence of the ability to synthesis cAMP, assessed via utilising the adenylate cyclase ∆cyaA mutant [33], an intermediate level of PKA activity was detected in all carbon sources, demonstrating the existence of a cAMP independent route of PKA activation (Figure 4), which may occur under carbon starvation conditions, in part mimicked by the absence of cAMP.

Figure 4
figure 4

Protein kinase A was hyperactivated upon growth on AVICEL or carbon starvation. The parental (WT), ∆pkaC and ∆cyaA strain were grown in minimal media plus 1% fructose overnight (o/n) and then transferred to various alternative carbon sources for 8 h. The PKA activity from the respective cultures, and the internal cAMP (positive) and water (negative) controls, were determine via densitometry. One-tailed t-test (* P <0.05, ** P < 0.01, *** P < 0.001).

Extracellular glucose is detected via extracellular GCPRs, while intracellular phosphorylated glucose results in RAS activation, with both routes accumulating with adenylate cyclase synthesising cAMP and PKA activation. To confirm that the conventional route of cAMP dependent PKA activation inhibited cellulase production during growth on cellulose, the endocellulase activity of constitutively activated RASG17V strain [33] was assessed, as this would result in a constant positive signal for repression. The RASG17V strain demonstrated an approximate eight-fold reduction in endocellulase activity after 5 days growth in MM plus AVICEL (parental, 484 ± 48 U/ml; RASG17V, 60 ± 6 U/ml). This confirmed that the conventional route of PKA activation inhibits cellulase production, while suggesting that starvation induced PKA hyperactivation performed alternative function(s) that directly or indirectly contributed to growth on cellulose.

Evaluation of CreA nuclear localisation

In order to monitor the dynamics of CCR in A. nidulans a CreA::GFP tagged protein under the control of the native promoter was constructed, enabling the study of CreA nuclear localisation under repression/derepression and the evaluation of the signalling components that led to CreA cellular compartmentalisation. The CreA::GFP strain constructed in the present work, demonstrated growth similar to the parental strain on various repressing and derepressing carbon sources (Additional file 1: Figure S1). The microscopic analysis of fluorescence in different carbon sources, including various simple and complex polysaccharides, non-polysaccharides and carbon starvation, assisted in the understanding of the signals involved in CreA nuclear localisation and repression.

The CreA::GFP strain was grown in glucose containing media overnight, which consistently resulted in 100% CreA nuclear localisation (Figure 5), and was then transferred to media containing an alternative carbon source. When the second medium contained a readily metabolisable mono- or di-saccharides, CreA nuclear localisation was high (Table 3). These energy sources are easily taken up and require fewer enzymatic steps prior to entering glycolysis. Within this set, glucose that is phosphorylated and enters directly into glycolysis represented 100% CreA nuclear localisation. Cellobiose, which requires intracellular hydrolysis into glucose, and xylose that enters glycolysis via the pentose phosphate pathway, demonstrated 68% and 70% nuclear localisation respectively. Alternative non-polysaccharide carbon sources, such as glycerol resulted in a far lower level (31%) of nuclear localisation. Complex polysaccharides, such as AVICEL or xylan, represented the lowest level of CreA nuclear localisation. Post 5 h carbon starvation, no CreA nuclear localisation was observed (Figure 5).

Figure 5
figure 5

CreA::GFP localisation alters under repressing and derepressing condition. Under repressing conditions (glucose 16 h), CreA::GFP constantly localised to the nucleus, while under derepressing conditions (AVICEL 16 h), CreA::GFP was absent from the nucleus. The brightfield (DIC), GFP and the DAPI (for Hoechst nuclear staining) channels are presented. Bar = 5 μm.

Table 3 CreA::GFP nuclear localisation post transfer between media containing different carbon sources

Growing the CreA::GFP strain overnight in glucose (100% nuclear localisation) and then exposing it to carbon starvation for 5 h (~0% nuclear localisation) enabled the study of the positive signals for CreA repression. The addition of 2-deoxyglucose which cannot be successfully metabolised, or 6-deoxyglucose that cannot be phosphorylated, to the carbon starved cultures demonstrated that the positive signal for CreA nuclear localisation required glucose phosphorylation (Table 3).

Confirmation of NPK involvement in CCR

Sexual crosses between several of the NPK mutants identified from the screening of the kinase collection with either the ∆creA4 strain [34] or the CreA::GFP strain enabled the confirmation that schA and snfA were required for CreA derepression and endocellulase production. The absence of schA and snfA resulted in an inability to remove CreA from the nucleus upon growth on AVICEL (Table 3). Similarly, sexual crosses between ∆schA or ∆snfA with the ∆creA4 strain restored the endocellulase activity of these NPKs to parental levels (Additional file 2: Figure S2). However, the absence of atmA or the atmA- regulated transcription factor xprG did not affect CreA nuclear localisation or derepression (Table 3). Collectively, these datasets suggest that schA and snfA are required for CreA derepression thus permitting cellulase gene induction upon growth on AVICEL, while atmA performed additional functions that contributed to cellulase production.

Microarray analysis revealed the roles performed by schA and snfA during growth on AVICEL

In response to the transfer to AVICEL containing media for 8 h the parental, ∆schA and ∆snfA strains modulated the transcription of a similar number of genes, while after 24 h the parental strain showed a far greater transcriptional response, modulating approximately twice as many genes (Additional file 3: Table S1). FetGOat analyses were used to identify the overrepresented GO terms within the differentially expressed genes for each strain. After 8 h culture on AVICEL there was no biological process, cellular component or molecular function overrepresented in the parental strain. After 24 h culture in AVICEL containing media, the parental strain demonstrated an overrepresentation in the modulation of genes involved in aerobic respiration, carbohydrate related catabolic/metabolic processes and ribosomal biogenesis (Table 4, Additional file 4: Table S2). The overrepresentation of multiple ribosomal components was specific to the parental strain. In addition to the processes overrepresented in parental strain, the ∆schA strain also showed an overrepresentation of alcohol and quinone metabolic processes, plus the production of energy derived from organic compounds. No biological process, cellular component or molecular function was overrepresented in the ∆snfA strain after 24 h growth on AVICEL.

Table 4 The overrepresented GO terms from the FetGOat analysis ( p <0.05) of the genes differentially expressed within the parental and ∆ schA strains post transfer from CM to MM plus AVICEL for 24 h

A comparison of the differentially up or down regulated genes in the parental and NPK mutant strains again demonstrated that the transcriptome of the parental strain was more distinct from the NPK mutant strain after 24 h culture in the presence of AVICEL (Figure 6), while of the two NPKs mutant strain, ∆snfA demonstrated the least similarity to the parental strain. The functional profile of the genes that were induced by 24 h growth in the presence of AVICEL was determined using MIPS functional categories and the CAZy enzyme database (Additional file 5: Table S3). This demonstrated that gene induction in response to growth on AVICEL was greatly dependent on SnfA and to a lesser extent SchA, while SchA showed an overlapping function with SnfA (Figure 7).

Figure 6
figure 6

The identification of the genes modulated by schA and snfA upon growth on AVICEL. The venn diagrams for the differentially up (A,B) or down (C,D) regulated genes (p < 0.01) in the parental (WT), ∆schA and ∆snfA strains post 8 (A,C) and 24 h (B,D) growth on AVICEL as a sole carbon source.

Figure 7
figure 7

The contribution of schA and snfA to AVICEL-induced gene induction. The distribution of different functional categories and CAZy enzymes, including glycoside hydrolases (GH), among the genes that demonstrated elevated transcription, in the parental strain, post 24 h growth on AVICEL, and whether this induction was dependent on the action of schA and/or snfA. Note; the near absence of genes independent of schA or snfA (blue), the substantial contribution of snfA represented by the sum of snfA dependent (purple) and snfA plus schA dependent (red) genes, while the majority of schA dependent genes overlapped with snfA and only a limited number of genes were specifically schA dependent responses (green).

The CAZy enzymes within these datasets were identified to create a profile of the hydrolytic capacity of each strain. In total, 54 glucoside hydrolases were induced by AVICEL in the parental strain, of which 31 were specifically induced in the parental strain, 8 were induced in all three strains, 14 induced in both the parental and ∆schA strains and only one was induced by both the parental and ∆snfA strains (Figure 8). Multiple hemicellulase enzymes were also induced by 24 h growth on AVICEL, despite the absence of a specific inducer in the medium. Subsequently, the expression of transcription factors known to be involved with hydrolytic enzyme production was assessed (Additional file 5: Table S3). The expression of creA and araR did not show differential regulation at either timepoint, in all the three strains. However, xlnR was expressed to a higher level in the parental and ∆snfA strains after 24 h growth in the presence of AVICEL, but not in the ∆schA strain. The induction of clrB was substantially greater than that of clrA in the parental strain but this induction was absent in the ∆schA and ∆snfA strains. Additional transcription factors modulated only in the parental strain included a Gcn4p homolog (AN3675), which is involved in glycogen homeostasis, autophagy and starvation stress responses, positive regulators of the ethanol regulon (alcR) and acetate utilisation (facB). In both of the parental and ∆schA transcriptional responses an amino acid starvation (AN1812) and the fatty acid utilisation farA transcription factors were also induced.

Figure 8
figure 8

Cellulase and hemicellulase transcription is reduced in absence of schA or snfA. The log2 fold change in the expression of a selection of cellulases (A) and hemicellulases (B) in the parental (WT), ∆schA and ∆snfA strains post transfer from complete media to minimal media plus AVICEL as a sole carbon source for 24 h. Gene IDs and glycoside hydrolase families are presented.

The modulation of genes involved in transport was assessed. Different groups of transporters were either up regulated upon 24 h growth on AVICEL in all strains (14 transporters), in both the parental and the ∆schA strains (33 transporters), in both the parental and ∆snfA strains (6 transporters), or specifically in the parental strain (41 transporters). Note the low number of transporters induced in the ∆snfA strain. The far majority of the transporters induced in the parental strain lacked a defined function in A. nidulans. However, the functionally defined genes included transporters of amino acid, sugar, iron, calcium and sodium (Additional file 5: Table S3). The putative sugar (AN6669) and the alpha glucoside (AN3204) transporters were only up regulated in the parental strain, while an additional putative sugar transporter (AN8737) and a high affinity hexose transporter (AN6923) were induced in both the parental and ∆schA strains.

In all strains there was an induction of the xprG starvation response transcription factor and hacA, which regulates the unfolded protein response, after 24 h growth on AVICEL, suggesting the existence of starvation induced stress. Accordingly, several starvation-related genes, atg8, hxkC and the GPCR gprH were also up regulated. However, despite the induction of xprG in all strains these three starvation-response genes were not induced in the ∆snfA strain, while the xprG- activator kinase gene atmA (Krohn N, unpublished results), was repressed at a low level. Other kinase sensors of energetic status including the sakA and the gal83 homolog, which are both required for Snf1 activation and nuclear localisation in S. cerevisiae, were only induced in the parental strain, while the TOR kinase (AN5982) was only not induced in the ∆schA strain.

Collectively, the transcriptomic data depicts how schA and snfA are required to regulate the response to carbon limitation and growth on AVICEL. These two NPKs demonstrated a partially overlapping function in the modulation of CAZy enzyme, sugar and amino acid transporters, transcription factors and metabolism, with snfA appearing to be of paramount importance.


A deep understanding of the mechanisms by which filamentous fungi sense nutrition and cellular energetic status, thus in turn regulating hydrolytic enzyme secretion is paramount for the development of efficient industrial lignocellulosic ethanol production. Protein kinases and phosphatases act as intracellular sensors and perform central roles in numerous signalling cascades that coordinate hyphal growth and metabolism in response to nutrient availability. The presented study identified the protein kinases and phosphatases required for growth on cellulose as a sole carbon source, revealing how different subsets were required for cellulase or both cellulase and hemicellulase production. A modulation of CreA derepression was subsequently identified as the mechanism by two central NPKs, schA and snfA, controlled hydrolytic enzyme production (Figure 9).

Figure 9
figure 9

A schematic for the mechanisms by which NPKs regulate CreA repression and hydrolytic enzyme production. Upon growth on cellulose as a sole carbon source, a drop in phosphorylated glucose and RAS-mediated PKA activation, results in the loss of the positive signal for CreA nuclear localisation and repression. Subsequently, the drop in intracellular ATP and an alteration in TOR signalling, results in SchA and SnfA controlling CreA re-localisation and hydrolytic enzyme production. Bold arrows represent experimentally proven, while dotted arrow represent hypothetical, connections.

The transcription of lignocellulolytic enzymes is tightly controlled by the competitive action of the CreA repressor and polysaccharide specific inducers. This study demonstrated that carbon starvation resulted in the loss of CreA from the nucleus and derepression, similar to the Mig1 mechanism observed in S. cerevisiae[35]. A previous investigation of CreA cellular localisation utilised a fusion protein under the control of a constitutive promoter and implied that intracellular localisation was not involved in the regulation of CreA-mediated repression [36]. Such an approach could overwhelm the system and may have contributed to the differences observed between the two experimental designs. Again similar to S. cerevisiae, the absence of the A. nidulans Snf1 homolog, which in S. cerevisiae is involved in Mig1 nuclear export and alternative carbon usage [35], resulted in a reduced ability of A. nidulans to utilise cellulose, transcribe hydrolytic enzymes and relocalise CreA. This appears to be in contrast to H. jecorina where the Snf1 homologue has been shown to phosphorylate Mig1 when expressed in S. cerevisiae but not the H. jecorina counterpart [23], while Cre1 phosphorylation in H. jecorina has been shown to positively regulate DNA binding [37]. The similarity between CreA depression during growth on cellulose and carbon starvation, suggested that A. nidulans was experiencing starvation under both conditions. The induction of cellulases and hemicellulases when grown on cellulose as a sole carbon source, which would therefore lack a pentose metabolites and a hemicellulase inducer, has also previously been reported under carbon starvation [16] and could be the consequence of CreA derepression rather than polysaccharide specific induction. This is supported by the observation that CreA nuclear localisation was high in the presence of cellobiose, a known inducer of cellulases [38]. This concept suggests that a transient period of starvation is required from CreA derepression, thus liberating the inducer binding sites for gene induction. This is fitting with the model proposed by Delma and colleagues which observed the induction of a subset of hydrolytic enzymes under starvation conditions that were suggested to perform a scouting role [39].

In S. cerevisiae, the external sensing of glucose via the GPCRs-PKA pathway and the intracellular phosphorylation of glucose, which results in RAS activation, promotes Mig1-mediated CCR [19]. However, in A. nidulans the presence of extracellular glucose proved not to be essential, while glucose phosphorylation was essential, for CreA repression. As shown by the inability to recover CreA nuclear localisation after the addition of the non phosphorylatable 6-deoxyglucose to carbon starved CreA derepressed cultures, while CreA repression was recovered by the addition of the non metabolisable 2-deoxyglucose. The reduced endocellulolytic capacity of the activated RASG17V strain when grown on cellulose supported the concept that glucose phosphorylation and RAS signalling induces CreA repression. Interestingly, pkaC was identified as being required for growth similar to that of the parental strain on cellulose, while PKA activity was hyperactivated during growth on cellulose and carbon starvation. This suggests that the PKA performs additional starvation-induced roles, apart from CreA repression, which in A. nidulans that may directly, or indirectly, influence growth and survival on cellulose. During starvation, PKA activity increases in mammalian cells, promoting mitochondrial elongation, preventing autophagic degradation and maintaining ATP production, while the blocking of mitochondrial elongation precipitates in starvation-induced death [40]. In H. jecorina, a complex mechanism of light-dependent cellulase regulation has been shown to involve the adenylate cyclase (Acy1) and Pkac1. Schuster et al.[41] demonstrated that Acy1 had a positive effect on cellulase gene expression in light and darkness, while Pkac1 only positively influenced cellulase expression in light, but negatively influenced in darkness. Thus in A. nidulans PKA may perform additional functions during starvation and growth on cellulose, apart from the typical GPCR/Ras-PKA pathways (Figure 9).

Several additional NPKs involved in the starvation response of multiple organisms, such as the atmA and pkpA were also identified as being required for growth on cellulose and endocellulolytic enzyme production. In mammalian cells, the pyruvate dehydrogenase complex (PDC), generates NADPH and acetyl CoA from the oxidative decarboxylation of pyruvate and facilitates uptake into the mitochondria. The phosphorylation state of the PDC controls the flux through this irreversible reaction, thus directing metabolism towards the consumption of glucose in respiration or the preservation of glucose for gluconeogenesis [42]. Under starvation the pyruvate dehydrogenase kinase phosphorylates and inactivates the PDC conserving glucose and promoting fatty acid utilisation [42]. Therefore, the identification of the pkpA kinase suggests that a period of glucose deprivation is experienced by A. nidulans when grown on cellulose, which is supported by the observed up regulation of alternative carbon source usage, such as amino acid, ethanol, acetate, fatty acid and cellulose.

The ATM kinase in mammalian cells has been identified as being involved in starvation, insulin signalling and the regulation of glucose homeostasis through the action of the p53 phosphorylation target, which in turn regulates metabolism, mitochondrial respiration and glucose transporters. In addition, a p53-independent ATM pathway has been demonstrated to activate AMPK (the mammalian SnfA homolog) via LKB1 (the mammalian homolog of SakA) via dependent and independent routes [4345]. Low glycolytic rates and energy stress experienced by A. nidulans grown on cellulose could result in a similar AtmA, SakA and SnfA cascade of activation, thus regulating mitochondrial function, sugar uptake, fatty acid utilisation and hydrolytic enzyme production.

The presented study demonstrated how SnfA performed a key role in CreA derepression and the modulation of transcription, metabolism and hydrolytic enzyme secretion. In mammalian and S. cerevisiae cells the SnfA homologs have been shown to interact with the essential TOR kinase, which is an integrator of nutrient and growth factor inputs that control cell growth [30]. Interestingly, homologs of two phosphatases revealed in this study to be required for hydrolytic enzyme production and growth on cellulose, are involved in TOR signalling in S. cerevisiae. Homologs of the SchA kinases have been shown to operate downstream of TOR [46]. The overlapping but lesser role of the SchA kinase, when compared to SnfA, in the regulation of the transcriptional response to growth on cellulose, in addition to the similar inability to relocalise CreA upon growth on cellulose, suggests that SchA may also have synergistic functions to SnfA in A. nidulans, possibly integrating the TOR signal. Similarly in S. cerevisiae and A. nidulans, the SchA kinase has also been shown to have synergistic and opposing functions with PKA, in the regulation of transcription [33, 47].

Multiple NPKs and NPPs involved in filamentous growth, polarisation, and morphogenesis were also identified as being required for growth on cellulose and hydrolase secretion. Endo- and exo-cytosis are key processes for the sensing of, and interaction with, the environment. Such processes have been shown to regulate glucose transporters in mammalian cell [48]. Therefore, the identification of such NPKs and NPPs could represent the impact of these mutations on endo- exo-cytosis, thus influencing secretion, the distribution of transporters in the cell membrane and the import of inducer molecules.


An initial period of carbon starvation appears to play a role in the activation of the nutrient/energy sensing kinase pathways and that CreA derepression is an essential prerequisite for hydrolytic enzyme induction. Through homology with more extensively studied systems, a model for how the identified kinases and phosphatases regulate hydrolytic enzyme production can be postulated. However, the genetic interactions between these kinases and phosphatases in A. nidulans require further study prior to the reconstruction of relevant signalling cascades. Even so, it is clear that SnfA-mediated CreA derepression and transcriptional responses, which regulate metabolism, transport and hydrolytic enzyme secretion, are paramount for growth on cellulose, while the SchA kinase appeared to have an overlapping mechanism and synergistic function with SnfA.


Strains and culture conditions

The parental A. nidulans TNO2a3 (pyrG89; pyroA4; nkuA::argB) strain was used as a reference in all experiments. The null mutant collections of 103 non-essential protein kinases (NPKs) and 28 non-essential phosphotases, created by in vivo recombination in S. cerevisiae followed by A. nidulans protoplast transformation (; [49, 50]) were utilised. The ∆cyaA and the activated RASG17V strains were provided by N. Keller, University of Wisconsin-Madison, USA [34]. The ∆CreA strain was provided by M. Flipphi, Instituto de Agroquímica y Tecnología de Alimentos, Spain [34]. All fungal strains were propagated on complete (2% w/v glucose, 0.5% w/v yeast extract, trace elements) or minimal media (1% w/v glucose, nitrate salts, trace elements, pH 6.5) plus 2% w/v agar.

Screening for reduced growth on AVICEL

Complete media (CM) cultures (50 ml) were inoculated with 1×107 conidia and incubated on a rotary shaker (180 rpm) set at 37°C for 24 h. Liquid minimal media (MM) cultures containing 1% AVICEL, instead of glucose as a carbon source were prepared as with the CM cultures, but were incubated for 10 days under the same conditions. The mycelia of the CM and MM plus AVICEL cultures were filtered, frozen in liquid nitrogen and freeze dried prior to the determination of dry weight and total protein content, respectively. The fungal biomass (dry weight) within the MM plus AVICEL cultures cannot be measured directly, due to the presence of AVICEL. Therefore, total protein content was used as a relative measurement. The mycelia from the AVICEL cultures was ground in liquid nitrogen and added immediately to the protein extraction buffer (Tris base pH 7.5 25 mM, EGTA pH 7.5 15 mM, MnCl2 15 mM, plus a protease inhibitor cocktail (Roche)), vortexed for 5 min prior to centrifugation for 15 min at 14000 g. Protein content was measured using the Bio-Rad protein assay according to manufacturer’s instructions.

Media shift experiments and enzyme activity assays

Cultures of MM plus 1% fructose (50 ml) were inoculated with 1×107 conidia and incubated on a rotary shaker (180 rpm) set at 37°C for 24 h. Subsequently, the mycelia of the transfer cultures were washed with sterile water, resuspended in liquid MM plus 1% AVICEL or xylan and incubated under the same conditions for 5 or 3 days depending on the respective carbon source. The cultures were filtered and the mycelia frozen in liquid nitrogen prior to being freeze dried for RNA extraction. The culture supernatants were collected for endo- cellulase or xylanase activity assays (Megazyme) according to manufacturer’s instructions.

Peptag cAMP dependant protein kinase A (PKA) activity assays

Media shift cultures were prepared as described previously. Post washing, the mycelia was transferred to a range of different carbon sources, as stated in the relevant figure and results section, for 8 h. The mycelia from the transfer cultures was collected by filtration, then frozen and ground in liquid nitrogen. Total protein was extracted as described previously and the Peptag cAMP dependent PKA activity assay (Promega) performed according to manufacturer’s instructions. Quantification of the intensity of the phosphorylated substrate was determined via densitometry analysis using the ImageJ software. Results are presented as the total PKA activity per culture.

Construction of modified strains

The construction of the CreA::GFP strain was performed according to Colot et al. [51]. Standard molecular techniques were performed according to Sambrook and Russel [52]. The 5’ untranscribed region (UTR) plus the creA gene (minus the stop codon), the gfp gene plus a spacer, the pyrG gene and the 3’ UTR were co-transformed into S. cerevisiae. Homologous recombination within S. cerevisiae created the construct, which was subsequently amplified from pooled S. cerevisiae DNA, and 20 μg transformed into TNO2a3 according to Osmani et al., [53]. Transformants were selected via their ability to grow on solid MM plus pyridoxine in the absence of uridine and uracil. Homologous integration was confirmed via PCR. Sexual crosses between the CreA::GFP or ∆CreA strains with the ∆schA and ∆snfA strains were confirmed by PCR, using the relevant external forward and exon reverse primers, while the absence of atmA was confirmed via increased camptothecin sensitivity (75 μM). The primers used are listed in Additional file 6: Table S4.


Strains were inoculated onto a coverslip and incubated for 12 h at 25°C in liquid MM plus various carbon sources (1% carbon w/v). During media shift experiments the coverslips were washed with MM lacking a carbon source prior to the addition of the following media and incubated at 25°C, for the duration stated in the text (dependent on carbon source). In the case of 2-deoxyglucose and 6-deoxyglucose, a final concentration 6 mM of either compound was added to 5 h carbon starved cultures and incubated for an additional hour prior to examination. Mycelia mounted on the coverslips were washed with phosphate buffered saline (PBS; 140 mM NaCl, 2 mM KCl, 10 mM NaHPO4, 1.8 mM KH2PO4, pH 7.4). The mycelia were then stained with 100 ng/ml Hoescht 33258 (Molecular Probes) for 2 min. The mycelia were washed again in PBS and examined using a Zeiss epifluorescence microscope with excitations of 359, 498 nm and emissions 461, 516 nm for Hoescht and GFP respectively. Phase contrast bright-field and fluorescent images were captured with AxioCam camera (Carl Zeiss) and processed using the AxioVision software version 3.1.

RNA extraction and quantitative PCR

Total RNA was isolated using TRIZOL (Invitrogen), treated with DNase (Promega) and purified using the RNeasy® Mini Kit (Qiagen) according to manufacturer’s instructions. RNA integrity was confirmed using the Bioanalyser Nano kit (Agilent technologies) and the Agilent Bioanalyser 2100. Purified RNA was used for cDNA synthesis using Superscript III (Invitrogen) according to manufactures instructions. Quantitative PCRs were performed as previously described [54]. The Taqman fluorescent probes (Invitrogen) used for the endoglucanase genes eglA (AN1285) and eglB (AN3418) [55] are listed in Additional file 6: Table S4. Expression of the tubulin gene tubC (AN6838) was used as an endogenous control.

Microarray analysis

The parental, ∆schA and ∆snfA strains (1×107 conidia) were incubated in 50 ml CM on a rotary shaker (180 rpm) set at 37°C for 24 h. The mycelia were washed with sterile water and transferred to MM plus AVICEL for 8 and 24 h. Post incubation, the mycelia was collected by filtration and frozen in liquid nitrogen. Total RNA was extracted and integrity confirmed as described previously. The synthesis of cDNA from 200 ng of RNA and the array hybridisations were performed according to Souza et al.[56] with a minor modification to the quantity of RNA used. The RNA isolated from the CM cultures was used as the reference for the MM plus AVICEL of each strain. The dataset was deposited in the Gene Expression Omnibus (

Genes were determined as differentially expressed between the CM and MM plus AVICEL via a t-test (p < 0.01) performed within the Mev software [57]. The overrepresented GO terms within the differentially expressed gene sets from each strain were identified using the FetGOat software ( The differential regulation of gene expression between the three strains post transfer to MM plus AVICEL was determined via venn analysis and the functional profile of the gene lists determined using FunCats ( Secreted proteins and hydrolytic enzymes were identified using TargetP ( and the CAZy enzyme database ( respectively.

Statistical analyses

Three biological replicates were performed for all experiments and the statistical tests for significance determined via a one-tailed t-test (* P <0.05, ** P < 0.01, *** P < 0.001), unless stated otherwise, using Prism 3.0 (GraphPad).

Author contributions

NAB contributed to the concept, design, acquisition and analysis of data, in addition to the preparation of the manuscript. PG, NK and MS contributed to the acquisition of data, and GHG contributed to the concept and design of the investigation in addition to the preparation of the manuscript. All authors have read and approved the final manuscript.



Adenosine triphosphate


Cyclic adenosine monophosphate


Carbohydrate active enzymes


Carbon catabolite repression


Complete media


Green fluorescent protein


Gene ontology


G-protein coupled receptor


Mitogen activated protein kinase


Minimal media


Nicotinamide adenine dinucleotide phosphate


Non-essential protein kinase


Non-essential protein phosphatase


Protein kinase A complex


Pyruvate dehydrogenase complex


Untranscribed region.


  1. Ronne H: Glucose repression in Fungi. Trends Genet 1995, 11: 12-17. 10.1016/S0168-9525(00)88980-5

    Article  CAS  Google Scholar 

  2. Ruijter G, Visser J: Carbon repression in Aspergilli . FEMS Microbiol Lett 1997, 151: 103-114. 10.1111/j.1574-6968.1997.tb12557.x

    Article  CAS  Google Scholar 

  3. Tian C, Beeson WT, Iavarone AT, Sun J, Marletta MA, Cate JHD, Glass NL: Systems analysis of plant cell wall degradation by the model filamentous fungus Neurospora crassa . PNAS 2009, 106: 22157-22162. 10.1073/pnas.0906810106

    Article  CAS  Google Scholar 

  4. Andresen MR, Vongsangnak W, Panagiotou G, Salazar MP, Lehmann L, Nielsen J: A trispecies Aspergillus microarray: Comparative transcriptomics of three Aspergillus species. PNAS 2008, 105: 4387-4392. 10.1073/pnas.0709964105

    Article  Google Scholar 

  5. Jorgensen TR, Goosen T, van den Hondel C, Ram A, Iversen J: Transcriptomic comparison of Aspergillus niger growing on two different sugars reveals coordinated regulation of the secretory pathway. BMC Genomics 2009, 10: 44. 10.1186/1471-2164-10-44

    Article  Google Scholar 

  6. Yuan XL, van der Kaaji R, van den Hondel C, Punt PJ, van der Maarel M, Dijkhuizen L, Ram A: Aspergillus niger genome-wide analysis reveals a large number of novel alpha-glucan acting enzymes with unexpected expression profiles. Mol Genet Genomics 2008, 279: 545-561. 10.1007/s00438-008-0332-7

    Article  CAS  Google Scholar 

  7. Ilmén M, Saloheimo A, Onnela ML, Penttilä ME: Regulation of cellulase gene expression in the filamentous fungus Trichoderma reesei . Appl Environ Microbiol 1997, 63: 1298-1306.

    Google Scholar 

  8. Dowzer CEA, Kelly JM: Analysis of the creA gene, a regulator of carbon catabolite repression in Aspergillus nidulans . Mol Cell Biol 1991, 11: 5701-5709.

    Article  CAS  Google Scholar 

  9. Mach RL, Strauss J, Zeilinger S, Schindler M, Kubicek CP: Carbon catabolite repression of xyn1 (xylanase I-encoding) gene expression in Trichoderma reesei . Mol Microbiol 1996, 21: 1273-1281. 10.1046/j.1365-2958.1996.00094.x

    Article  CAS  Google Scholar 

  10. Sun J, Glass NL: Identification of the CRE-1 Cellulolytic Regulon in Neurospora crassa . PLoS One 2011, 6: e25654. 10.1371/journal.pone.0025654

    Article  CAS  Google Scholar 

  11. Nehlin JO, Ronne H: Yeast MIG1 repressor is related to the mammalian early growth response and Wilms’ tumour finger proteins. EMBO J 1990, 9: 2891-2898.

    CAS  Google Scholar 

  12. Strauss J, Horvath HK, Abdallah BM, Kindermann J, Mach RL, Kubicek CP: The function of CreA, the carbon catabolite repressor of Aspergillus nidulans , is regulated at the transcriptional and post-transcriptional level. Mol Microbiol 1999, 32: 169-178. 10.1046/j.1365-2958.1999.01341.x

    Article  CAS  Google Scholar 

  13. Mathieu M, Nikolaev I, Scazzocchio C, Felenbok B: Patterns of nucleosomal organisation in the alc regulon of Aspergillus nidulans : roles of the AlcR transcriptional activator and CreA global repressor. Mol Microbiol 2005, 56: 535-548. 10.1111/j.1365-2958.2005.04559.x

    Article  CAS  Google Scholar 

  14. Battaglia E, Hansen SF, Leendertse A, Madrid S, Mulder H, Nikolaev I, de Vries RP: egulation of pentose utilisation by AraR, but not XlnR, differs in Aspergillus nidulans and Aspergillus niger . Appl Microbiol Biotech 2011, 91: 387-397. 10.1007/s00253-011-3242-2

    Article  CAS  Google Scholar 

  15. Portnoy T, Margeot A, Seidl-Seiboth V, Le Crom S, Chaabane FB, Linke R, Seiboth B, Kubicek C: Differential regulation of the cellulase transcription factors XYR1, ACE2, and ACE1 in Trichoderma reesei strains producing high and low levels of cellulase. Eukaryot Cell 2011, 10: 262-271. 10.1128/EC.00208-10

    Article  CAS  Google Scholar 

  16. Coradetti ST, Craig JP, Xiong Y, Shock T, Tain C, Glass NL: Conserved and essential transcription factors for cellulase gene expression in ascomycete fungi. PNAS 2012, 109: 7397-7402. 10.1073/pnas.1200785109

    Article  CAS  Google Scholar 

  17. Ptacek J, Devgan G, Michaud G, Zhu H, Zhu X, Fasolo J, Guo H, Jona G, Breitkreutz A, Sopko R, McCartney RR, Schmidt MC, Rachidi N, Lee SJ, Mah AS, Meng L, Stark MJ, Stern DF, De Virgilio C, Tyers M, Andrews B, Gerstein M, Schweitzer B, Predki PF, Snyder M: Global analysis of protein phosphorylation in yeast. Nature 2005, 438: 679-684. 10.1038/nature04187

    Article  CAS  Google Scholar 

  18. Vinod PK, Sengupta N, Bhat PJ, Venkatesh KV: Integration of global signaling pathways, cAMP-PKA, MAPK and TOR in the regulation of FLO11. PLoS One 2008, 3: e1663. 10.1371/journal.pone.0001663

    Article  CAS  Google Scholar 

  19. Rolland F, de Winde JH, Lemaire K, Boles E, Thevelein JM, Winderickx J: Glucose-induced cAMP signalling in yeast requires both a G-protein coupled receptor system for extracellular glucose detection and a separable hexose kinase-dependent sensing process. Mol Microbiol 2000, 38: 348-358. 10.1046/j.1365-2958.2000.02125.x

    Article  CAS  Google Scholar 

  20. Cho Y, Cramer RA, Kim JKH, Davis J, Mitchell TK, Figuli P, Pryor BM, Lemasters E, Lawrence CB: The fus3/Kss1 MAP kinase homolog Amk1 regulates the expression of genes encoding hydrolytic enzymes in Alternaria brassicicola . Fungal Genet Biol 2007, 44: 543-553. 10.1016/j.fgb.2006.11.015

    Article  CAS  Google Scholar 

  21. Lev S, Horwitz BA: A mitogen-activated protein kinase pathway modulates the expression of two cellulase genes in Cochliobolus heterostrophus during plant infection. Plant Cell 2003, 15: 835-844. 10.1105/tpc.010546

    Article  CAS  Google Scholar 

  22. Di Pietro A, Garcia-MacEira FI, Meglecz E, Roncero MI: A MAP kinase of the vascular wilt fungus Fusarium oxysporum is essential for root penetration and pathogenesis. Mol Microbiol 2001, 39: 1140-1152. 10.1111/j.1365-2958.2001.02307.x

    Article  CAS  Google Scholar 

  23. Cziferszky A, Seiboth B, Kubicek CP: The Snf1 kinase of the filamentous fungus Hypocrea jecorina phosphorylates regulation-relevant serine residues in the yeast carbon catabolite repressor Mig1 but not in the filamentous fungal counterpart Cre1. Fungal Genet Biol 2003, 40: 166-175. 10.1016/S1087-1845(03)00082-3

    Article  CAS  Google Scholar 

  24. Tonukari NJ, Scott-Craig JS, Walton JD: The Cochliobolus carbonum SNF1 gene is required for cell wall-degrading enzyme expression and virulence on maize. Plant Cell 2000, 12: 237-248.

    Article  CAS  Google Scholar 

  25. Nadal M, Garcia-Pedrajas MD, Gold SE: The snf1 gene of Ustilago maydis acts as a dual regulator of cell wall degrading enzymes. Phytopathology 2010, 100: 1364-1372. 10.1094/PHYTO-01-10-0011

    Article  CAS  Google Scholar 

  26. Ospina-Giraldo MD, Mullins E, Kang S: Loss of function of the Fusarium oxysporum SNF1 gene reduces virulence on cabbage and Arabidopsis. Curr Genet 2003, 44: 49-57. 10.1007/s00294-003-0419-y

    Article  CAS  Google Scholar 

  27. Fitzgibbon GJ, Morozov IY, Jones MG, Caddick MX: Genetic analysis of the TOR pathway in Aspergillus nidulans . Eukaryot Cell 2005, 4: 1595-1828. 10.1128/EC.4.9.1595-1598.2005

    Article  CAS  Google Scholar 

  28. Teichert S, Wottawa M, Schönig B, Tudzynski B: Role of the Fusarium fujikuroi TOR kinase in nitrogen regulation and secondary metabolism. Eukaryot Cell 2006, 5: 1807-1819. 10.1128/EC.00039-06

    Article  CAS  Google Scholar 

  29. Young ET, Dombek KM, Tachibana C, Ideker T: Multiple pathways are co-regulated by the protein kinase Snf1 and the transcription factors Adr1 and Cat8. J Biol Chem 2003, 278: 26146-26158. 10.1074/jbc.M301981200

    Article  CAS  Google Scholar 

  30. Wullschleger S, Loewith R, Hall MN: TOR Signaling in Growth and Metabolism. Cell 2006, 124: 471-484. 10.1016/j.cell.2006.01.016

    Article  CAS  Google Scholar 

  31. de Vries R: Regulation of Aspergillus genes encoding plant cell wall polysaccharide-degrading enzymes; relevance for industrial production. Appl Microbiol Biotech 2003, 61: 10-20.

    Article  CAS  Google Scholar 

  32. Kubicek C, Mikus M, Schuster A, Schmoll M, Seiboth B: Metabolic engineering strategies for improvement of cellulase production by Hypocrea jecorina . Biotechnology for Biofuels 2009, 2: 19. 10.1186/1754-6834-2-19

    Article  Google Scholar 

  33. Chaveroche MK FS, Shimizu K, Keller N, d’ Enfert C: cAMP and ras signalling independently control spore germination in the filamentous fungus Aspergillus nidulans . Mol Microbiol 2002, 44: 1001-1016. 10.1046/j.1365-2958.2002.02933.x

    Article  Google Scholar 

  34. Shroff RA, O’Connor SM, Hynes MJ, Lockington AR, Kelly JM: Null alleles of creA , the regulator of carbon catabolite repression in Aspergillus nidulans . Fungal Genet Biol 1997, 22: 28-38. 10.1006/fgbi.1997.0989

    Article  CAS  Google Scholar 

  35. Carlson M: Glucose repression in yeast. Current Opin Microbiol 1999, 2: 202-207. 10.1016/S1369-5274(99)80035-6

    Article  CAS  Google Scholar 

  36. Roy P, Lockington RA, Kelly JM: CreA-mediated repression in Aspergillus nidulans does not require transcriptional auto-regulation, regulated intracellular localisation or degradation of CreA. Fungal Genet Biol 2007, 45: 657-670.

    Article  Google Scholar 

  37. Cziferszky A, Mach RL, Kubicek CP: Phosphorylation positively regulates DNA binding of the carbon catabolite repressor Cre1 of Hypocrea jecorina (Trichoderma reesei). J Biol Chem 2002, 277: 14688-14694. 10.1074/jbc.M200744200

    Article  CAS  Google Scholar 

  38. Znameroski EA, Coradetti ST, Roche CM, Tsai JC, Iavarone AT, Cate JH, Glass NL: Induction of lignocellulose-degrading enzymes in Neurospora crassa by cellodextrins. PNAS 2012, 109: 6012-6017. 10.1073/pnas.1118440109

    Article  CAS  Google Scholar 

  39. Delmas S, Pullan ST, Gaddipati S, Kokolski M, Malla S, Blythe MJ, Ibbett R, Campbell M, Liddell S, Aboobaker A, Tucker GA, Archer D: Uncovering the genome-wide transcriptional responses of the filamentous fungus Aspergillus niger to lignocellulose using RNA sequencing. PLoS Genet 2012, 8: e1002875. 10.1371/journal.pgen.1002875

    Article  CAS  Google Scholar 

  40. Gomes L, Di Benedetto G, Scorrano L: During autophagy mitochondira elongatie, are spared from degradation and sustain cell viability. Nat Cell Biol 2011, 13: 589-598. 10.1038/ncb2220

    Article  CAS  Google Scholar 

  41. Schuster A, Tisch D, Seidl-Seiboth V, Kubicek CP, Schmoll M: Roles of protein kinase A and adenylate cyclase in light-modulated cellulase regulation in Trichoderma reesei. Appl Environ Microbiol 2012, 78: 2168-2178. 10.1128/AEM.06959-11

    Article  CAS  Google Scholar 

  42. Wu P, Peter JM, Harris RA: Adaptive increase in pyruvate dehydrogenase kinase 4 during starvation is mediated by peroxisome proliferator-activated receptor α. Biochem Biophys Res Commun 2001, 287: 391-396. 10.1006/bbrc.2001.5608

    Article  CAS  Google Scholar 

  43. Armata HL, Golebiowski D, Jung DJ, Ko HJ, Kim JK, Sluss HK: Requirement of the ATM/p53 tumor suppressor pathways for glucose homeostasis. Mol Cell Biol 2010, 30: 5787-5794. 10.1128/MCB.00347-10

    Article  CAS  Google Scholar 

  44. Ditch S, Paull T: The ATM protein kinase and cellular redox signalling: beyond the DNA damage response. Trends in Biochemical Science 2012, 37: 15-22. 10.1016/j.tibs.2011.10.002

    Article  CAS  Google Scholar 

  45. Shackelford DB, Shaw RJ: The LKB1-AMPK pathway: metabolism and growth control intumor suppression. Nature Reviews 2009, 9: 563-575. 10.1038/nrc2676

    CAS  Google Scholar 

  46. Urban J, Soulard A, Huber A, Lippman S, Mukhopadhyay D, Deloche O, Wanke V, Anrather D, Ammerer G, Riezman H, Broach JR, De Virgilio C, Hall MN, Loewith R: Sch9 is a major target of TORC1 in Saccharomyces cerevisiae . Mol Cell 2007, 26: 663-674. 10.1016/j.molcel.2007.04.020

    Article  CAS  Google Scholar 

  47. Roosen J, Engelen K, Marchal K, Mathys J, Griffioen G, Cameroni E, Thevelein JM, De Virgilio C, De Moor B, Winderickx J: PKA and Sch9 control a molecular switch important for the proper adaptation to nutrient availability. Mol Microbiol 2005, 55: 862-880.

    Article  CAS  Google Scholar 

  48. Foley K, Boguslavsky S, Klip A: Endocytosis, recycling, and regulated exocytosis of glucose transporter 4. Biochemistry 2011, 50: 3048-3061. 10.1021/bi2000356

    Article  CAS  Google Scholar 

  49. de Souza CP, Hashmi SB, Osmani AH, Andrews P, Ringelberg CS, Dunlap JC, Osmani SA: Function analysis of the Aspergillus nidulans kinome. PLoS One 2013, 8: e58008. 10.1371/journal.pone.0058008

    Article  CAS  Google Scholar 

  50. Son S, Osmani SA: Analysis of all protein phosphatase genes in Aspergillus nidulans identifies a new mitotic regulator, fcp1. Eukaryot Cell 2009, 8: 573-585. 10.1128/EC.00346-08

    Article  CAS  Google Scholar 

  51. Colot HV, Park G, Turner GE, Ringelberg C, Crew CM, Litvinkova L, Weiss RL, Borkovich KA, Dunlap JC: A high-throughput gene knockout procedure for Neurospora reveals functions for multiple transcription factors. PNAS 2006, 103: 10352-10357. 10.1073/pnas.0601456103

    Article  CAS  Google Scholar 

  52. Sambrook J, Russel DW: Molecular cloning: Laboratory manual. 3rd edition. NY: Cold Spring Harbor Press; 2001.

    Google Scholar 

  53. Osmani SA, May GS, Morris NR: Regulation of the mRNA levels of nimA, a gene required for the G2-M transition in Aspergillus nidulans . J Cell Biol 1987, 104: 1495-1504. 10.1083/jcb.104.6.1495

    Article  CAS  Google Scholar 

  54. Semighini CP, Marin M, Goldman MHS, Goldman GH: Quantitative analysis of the relative transcript levels of ABC transporter Atr genes in Aspergillus nidulans by real-time reverse transcription-PCR assay. Appl Environ Microbiol 2002, 68: 1351-1357. 10.1128/AEM.68.3.1351-1357.2002

    Article  CAS  Google Scholar 

  55. Lockington RA, Rodbourn L, Barnett S, Carter CJ, Kelly JM: Regulation by carbon and nitrogen sources of a family of cellulases in Aspergillus nidulans . Fungal Genet Biol 2002, 37: 190-196. 10.1016/S1087-1845(02)00504-2

    Article  CAS  Google Scholar 

  56. de Souza WR, de Gouvea PF, Savoldi M, Malavazi I, Bernardes LAS, Goldman MHS, de Vries RP, de Castro Oliveira JV, Goldman GH: Transcriptome analysis of Aspergillus niger grown on sugarcane bagasse. Biotechnol for Biofuels 2011, 4: 40. 10.1186/1754-6834-4-40

    Article  CAS  Google Scholar 

  57. Saeed AI, Sharov V, White J, Li J, Liang W, Bhagabati N, Braisted J, Klapa M, Currier T, Thiagarajan M, Sturn A, Snuffin M, Rezantsev A, Popov D, Ryltsov A, Kostukovich E, Borisovsky I, Liu Z, Vinsavich A, Trush V, Quackenbush J: TM4: a free, open-source system for microarray data management and analysis. Biotechniques 2003, 34: 374-378.

    CAS  Google Scholar 

Download references


We would like to thank the Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil, for providing financial support. We also thank Dr. Nancy Keller, University of Wisconsin-Madison, USA for providing the A. nidulanscyaA and activated RASG17V mutant strains, Dr. M. Flipphi, Instituto de Agroquímica y Tecnología de Alimentos, Spain, for the ∆CreA4 strain, Dr. Steve A. Osmani for providing the non-essential phosphatase (NPP) collection, and the two anonymous reviewers for their comments and suggestions. We also acknowledge the Program Project grant GM068087 (PI Jay Dunlap) for providing the non-essential kinase (NPK) collection.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Gustavo Henrique Goldman.

Additional information

Competing interests

The authors declare that they have no competing interests.

Electronic supplementary material


Additional file 1: Figure S1: The CreA::GFP strain demonstrated a similar phenotype to the parental strain. The CreA::GFP and parental TNO2a3 strains grown on complete media or minimal media for 4 days. (PPTX 3 MB)


Additional file 2: Figure S2: Endocellulase activity was restored when the NPKs kinase mutants were crossed with the ∆creA strain. All strains were grown in MM plus 1% fructose overnight and then transferred to AVICEL as a sole carbon source for an additional 5 days. The comparison of the endocellulase activity (U/ml) of the parental, single ∆NPKs and the ∆creA strains with the double ∆NPK ∆creA strains is presented. (PPTX 44 KB)


Additional file 3: Table S1: The total number of genes determined as differentially expressed (t- test p < 0.01) post transfer from CM to MM plus AVICEL for 8/24 h in the parental, ∆schA and ∆snfA strains. (DOC 28 KB)


Additional file 4: Table S2: The FetGOat analysis of overrepresented (Fishers exact test, p < 0.05) GO terms within the list of genes differentially expressed in the parental and ∆schA strains post transfer from complete media to media containing AVICEL as a sole carbon source for 24 h. Note that no GO terms were overrepresented in the ∆snfA strain post media transfer. (XLSX 33 KB)


Additional file 5: Table S3: The genes significantly induced (t test, p < 0.01) post transfer from complete media to minimal media containing AVICEL as the sole carbon source for 24 h in the parental, ∆schA and ∆snfA strains. Genes are presented according to whether induction occurred in a single or multiple strains. The data presented includes; MIPS functional categorisation, TargetP prediction of secretion and CAZy identification. (XLSX 266 KB)

Additional file 6: TableS4: A list of all the primers used in the presented investigation. (DOC 36 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Brown, N.A., de Gouvea, P.F., Krohn, N.G. et al. Functional characterisation of the non-essential protein kinases and phosphatases regulating Aspergillus nidulans hydrolytic enzyme production. Biotechnol Biofuels 6, 91 (2013).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: