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Microbiology 152 (2006), 2003-2012; DOI  10.1099/mic.0.28897-0
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Microbiology 152 (2006), 2003-2012; DOI  10.1099/mic.0.28897-0
© 2006 Society for General Microbiology

A screening system for carbon sources enhancing beta-N-acetylglucosaminidase formation in Hypocrea atroviridis (Trichoderma atroviride)

Verena Seidl, Irina S. Druzhinina and Christian P. Kubicek

Research Area Gene Technology and Applied Biochemistry, Institute of Chemical Engineering, TU Vienna, Getreidemarkt 9/166-5, A-1060 Vienna, Austria

Correspondence
Verena Seidl
vseidl{at}mail.zserv.tuwien.ac.at


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
To identify carbon sources that trigger beta-N-acetylglucosaminidase (NAGase) formation in Hypocrea atroviridis (anamorph Trichoderma atroviride), a screening system was designed that consists of a combination of Biolog Phenotype MicroArray plates, which contain 95 different carbon sources, and specific enzyme activity measurements using a chromogenic substrate. The results revealed growth-dependent kinetics of NAGase formation and it was shown that NAGase activities were enhanced on carbon sources sharing certain structural properties, especially on {alpha}-glucans (e.g. glycogen, dextrin and maltotriose) and oligosaccharides containing galactose. Enzyme activities were assessed in the wild-type and a H. atroviridis {Delta}nag1 strain to investigate the influence of the two NAGases, Nag1 and Nag2, on total NAGase activity. Reduction of NAGase levels in the {Delta}nag1 strain in comparison to the wild-type was strongly carbon-source and growth-phase dependent, indicating the distinct physiological roles of the two proteins. The transcript abundance of nag1 and nag2 was increased on carbon sources with elevated NAGase activity, indicating transcriptional regulation of these genes. The screening method for the identification of carbon sources that induce enzymes or a gene of interest, as presented in this paper, can be adapted for other purposes if appropriate enzyme or reporter assays are available.


Abbreviations: NAGase, beta-N-acetylglucosaminidase; PM, Phenotype MicroArray; S.A., specific activity

The GenBank/EMBL/DDBJ accession number for the sequence reported in this paper is DQ364461.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Some species of the soil fungus Hypocrea (anamorph Trichoderma), e.g. Hypocrea atroviridis (Trichoderma atroviride) (Dodd et al., 2003Down), Hypocrea lixii (Trichoderma harzianum), Hypocrea virens (Trichoderma virens) and Trichoderma asperellum, are potent mycoparasites against several plant-pathogenic fungi, and lysis of the host cell wall has been demonstrated to be an important step in the mycoparasitic attack (Benítez et al., 2004Down; Chet et al., 1998Down; Howell, 2003Down; Kubicek et al., 2001Down). Consequently, with chitin being a major cell wall component of plant pathogens like Rhizoctonia solani, Botrytis cinerea and Sclerotinia sclerotiorum, several chitinolytic genes, encoding chitinases (EC 3.2.1.14) and beta-N-acetylglucosaminidases (NAGases; EC 3.2.1.52), have been cloned from Hypocrea/Trichoderma spp. (Carsolio et al., 1994Down; Draborg et al., 1995Down; Garcia et al., 1994Down; Hayes et al., 1994Down; Kim et al., 2002Down; Peterbauer et al., 1996Down; Seidl et al., 2005Down; Viterbo et al., 2001Down, 2002Down) and for some of them the encoded protein also has been characterized (Boer et al., 2004Down; de la Cruz et al., 1992Down; Hoell et al., 2005Down). The regulation of expression of NAGases and chitinases in Hypocrea/Trichoderma has so far, besides Trichoderma–host interaction assays, only been studied with respect to their upregulation during growth on colloidal chitin, chitin degradation products and fungal cell walls (Carsolio et al., 1994Down; de las Mercedes Dana et al., 2001Down; Kim et al., 2002Down; Mach et al., 1999Down; Ramot et al., 2004Down). Additionally, the influence of carbon and nitrogen starvation on the expression of chitinolytic genes has been investigated (de las Mercedes Dana et al., 2001Down; Donzelli & Harman, 2001Down; Mach et al., 1999Down). Detailed studies of the Hypocrea jecorina (Trichoderma reesei) genome revealed that this species has 18 different genes encoding glycoside family 18 chitinases, but interestingly only 2 genes encoding NAGases (glycoside family 20) (Seidl et al., 2005Down). Similar numbers can be expected for other Hypocrea/Trichoderma spp. and the corresponding two genes encoding the NAGases have already been cloned from mycoparasitic Hypocrea/Trichoderma spp., namely nag1 from H. atroviridis, tv-nag1 and tv-nag2 from H. virens, exc1 and exc2 from H. lixii, and exc1y and exc2y from T. asperellum. It has been shown that transcription of H. atroviridis nag1 is induced by fungal cell walls and low molecular mass chitooligosaccharides (Mach et al., 1999Down). Brunner et al. (2003)Down reported that nag1 is essential for triggering chitinase gene expression.

Although some of the host cell walls (e.g. those from ascomycetes and basidiomycetes) contain chitin, it is not readily available for Hypocrea/Trichoderma because it is linked to proteins and other polymers (De Groot et al., 2005Down; Mahadevan & Tatum, 1967Down; Schoffelmeer et al., 1999Down). This raises the question as to which types of carbon sources derived from fungal cell walls possibly also trigger NAGase and chitinase expression, and act as inducers for the formation of chitinolytic enzymes in Hypocrea/Trichoderma.

To investigate this, we have extended the Biolog Phenotype MicroArray (PM) system (Bochner et al., 2001Down; Bochner, 2003Down) towards a high-throughput system for screening carbon sources for their ability to induce NAGases. This system consists of 96-well microtitre plates containing 95 different carbon sources, and has recently been adapted to investigate carbon source utilization by filamentous fungi as a means of strain characterization (Druzhinina et al., 2006Down; Tanzer et al., 2003Down). We used a combination of the PMs with specific enzyme activity measurements with a chromogenic substrate to identify carbon sources that trigger NAGase formation in H. atroviridis, and compared those data with the transcript patterns of nag1 and nag2 obtained with real-time RT-PCR. To study the influence of Nag1 and Nag2 on total NAGase activity, enzyme activity was assessed in the wild-type and a H. atroviridis {Delta}nag1 strain.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Strains and cultivation conditions.
H. atroviridis P1 (ATCC 74058), referred to as wild-type, was maintained on PDA (Difco). The amdS+ {Delta}nag1 strain H. atroviridis P1ND1 (Brunner et al., 2003Down) was kept on a minimal medium containing acetamide as the sole nitrogen source (Seidl et al., 2004Down).

The medium described previously by Seidl et al. (2005)Down containing 50 mM MES (pH 6.6) and 1 % (w/v) carbon source was used throughout the experiments not involving PMs. Agar plates (1.5 %, w/v) were covered with cellophane, inoculated with 6x106 spores and incubated in constant darkness at 25 °C. Mycelia were harvested after 24, 30, 40 and 48 h with a spatula, immersed in liquid N2 and stored at –80 °C.

Biolog PMs.
Carbon-utilization patterns were investigated using FF MicroPlates (Biolog). The FF MicroPlate test panel comprises 95 wells with different carbon-containing compounds and one well with water. Nutrients and test reagents are prefilled and dried into the 96 wells of the microplate.

Inoculum was extracted from Trichoderma strains after conidial maturation (5–8 days) by rolling a sterile, wetted cotton swab over sporulating areas. Conidia were suspended in 16 ml sterile Phytagel solution [0.25 % (w/v) Phytagel, 0.03 % (v/v) Tween 40] in disposable borosilicate test tubes (20x150 mm). Phytagel is an agar-substitute gelling agent produced from a bacterial fermentation composed of glucuronic acid, rhamnose and glucose. The suspension was agitated in a vortex mixer for about 5 s, and additional inoculum added as required to adjust the optical density of the suspension to 75 (±2) % transmission at 590 nm wavelength. Conidial suspension (60 µl) was dispensed into each of the wells of a Biolog FF MicroPlate. Inoculated microplates were incubated in the darkness at 25 °C, and OD750 readings determined after 12, 18, 24, 36, 42, 48, 66 and 72 h using a microplate reader (Biolog), which measures the turbidity and reflects mycelial production on the tested substrate. Analyses were repeated at least three times for each strain. Joining cluster analysis – complete linkage rule and Euclidean distance measure as described by Druzhinina et al. (2006)Down was employed to differentiate carbon sources depending on their utilization by H. atroviridis P1.

Enzyme activity measurements in Biolog PMs.
NAGase activity was measured by a modification of the method of Yagi et al. (1989)Down, which is based on the release of p-nitrophenol from the respective arylchitosides. After incubation of the microplates at 25 °C in constant darkness for 30 and 48 h, 20 µl 50 mM potassium phosphate buffer, pH 6.7, containing 300 µg 4-nitrophenyl N-acetyl-beta-D-glucosaminide ml–1, was added to each well. Microplates were incubated at 30 °C with gentle agitation. After 10 min, the reactions were terminated by the addition of 20 µl 0.4 M Na2CO3 to each well. The plates were then put on ice for 5 min with gentle agitation to ensure complete mixing of the stop solution in the wells. Thereafter, the A400 was determined in a microplate reader (MR7000; Dynex). The formation of product was linear with time during the observation interval (optimization data not shown). Control measurements of enzyme activity were performed by omitting the substrate from the phosphate buffer. Preliminary experiments proved that this yielded more reliable results than adding the Na2CO3 solution at t=0. Two independent assays, with a minimum of three separate plates for each reaction, were carried out.

Two sets of mean values were calculated from the A400 values obtained in reactions with the substrate and from incubations without the substrate. For each carbon source the mean value of the control was then subtracted from the mean value of the enzymic measurement. In this way calculated enzymic activities, divided by the amount of biomass (expressed as OD750 units) formed at the corresponding time point, result in specific activities (S.A.s), given as arbitrary units. Outliers of enzyme activities were defined as values that were higher/lower than the mean of the residual values ± twofold SD. Basic statistical evaluations of data were performed using the STATISTICA 6.1 (StatSoft) software package.

RNA isolation.
Total RNA was extracted as described by Chomczynski & Sacchi (1987)Down. Mycelia were disrupted using a bead mill homogenization method described by Griffith et al. (2000)Down, with the FastPrep F120 (Qbiogene).

Cloning and sequencing of a nag2 orthologue from H. atroviridis.
The primers nag2-fw (5'-GCACGCTCTTCATTGACCAG-3') and nag2-rv (5'-CACAGTCATGCACATCAACCTG-3') were designed from conserved regions of H. lixii exc2 (GenBank accession no. S80070) for amplifying a 1.8 kb fragment of H. atroviridis nag2. The resulting sequence of the cloned DNA was submitted to GenBank (accession no. DQ364461).

Transcript analysis of nag1 and nag2 by real-time RT-PCR.
RNA was treated with DNase I (Fermentas), purified with the RNeasy MinElute Cleanup kit (Qiagen) and reverse transcribed using the RevertAid H minus first strand cDNA synthesis kit (Fermentas) and the oligo(dT)18 primer.

For real-time RT-PCR experiments a 130 bp fragment of nag1 (GenBank accession no. S83231) was amplified with the primers nag1RT-fw (5'-GAACTGGAGGCTCATCTAC-3') and nag1RT-rv (5'-GATGATGTTGTCCATGTTG-3'), and a 146 bp fragment of nag2 with the primers nag2RT-fw (5'-TGCGACCCGACCAAGAACTG-3') and nag2RT-rv (5'-CAGATGATGGTGTCGAGGCTG-3'). tef1 (encoding elongation factor 1{alpha}, GenBank accession no. AF456892) was used as a reference gene, and a 100 bp fragment was amplified with the primers tefRe-fw (5'-TACTGGTGAGTTCGAGGCTG-3') and tefRe-rv (5'-GATGGCAACGATGAGCTG-3').

Real-time PCR amplification was carried out with the iQ 5 real-time PCR detection system (Bio-Rad) in a 25 µl reaction containing 12.5 µl iQ SYBR Green Supermix (Bio-Rad), each primer at a concentration of 250 nM and sample corresponding to an initial concentration of 0.5 µg total RNA. Amplification was carried out with the following PCR programme: initial denaturation for 3 min at 95 °C, followed by 40 cycles consisting of 95 °C for 15 s, 52 °C (nag1), 58.7 °C (nag2) or 54 °C (tef1), for 20 s, and 72 °C for 20 s. Successful amplification was verified by determination of the melting temperature and by agarose gel electrophoresis. For each gene a series of dilutions were used for two different samples to assess the efficiency of the PCR. Two independent experiments were carried out and PCR reactions were performed in triplicates.

To ensure the absence of genomic DNA, control samples were subjected to the same procedure as described above, but no reverse transcriptase was added, and PCR reactions without template were set up to rule out contamination of other PCR components.

The results of the real-time RT-PCR were analysed with the iQ 5 optical system software (Bio-Rad). Using the PCR base line subtracted mode, the threshold cycle was calculated for all samples and the amplification efficiency for each gene was determined. To compare different samples, the threshold cycles for nag1 and nag2 were corrected with a factor for the tef1 amplification, as described by Reithner et al. (2005)Down. The transcript value on glucose (24 h) was arbitrarily set to 1 and all other values given as multiples (fold induction) of it.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Carbon source utilization profile of H. atroviridis P1
Prior to enzymic assays we examined the growth of H. atroviridis wild-type on 95 carbon sources under the conditions of the Biolog PMs. Detailed analysis of all growth curves (data not shown) led us to conclude that the time points 36, 42 and 48 h correspond to the phase of linear (active) growth on the majority of carbon sources. This observation is consistent with previous results for H. jecorina (Druzhinina et al., 2006Down). We applied joining cluster analysis to OD750 values from these time points only, to detect possible groupings of carbon sources depending on the respective growth kinetics. Data for previous (germination) and subsequent (growth saturation and sporulation) phases were used as a reference when needed. The general carbon-source utilization profiles for H. atroviridis are represented by four distinct clusters (Fig. 1Down). Cluster I contained the best utilizable carbon sources for this species, which led to the fastest growth and in most cases resulted in termination after 48 h. It comprised mainly monosaccharides and polyols, and also {gamma}-amino-butyric acid, which is reported to be the best carbon source for H. jecorina (Druzhinina et al., 2006Down). Additionally, it was conspicuous that N-acetyl-D-glucosamine belonged to cluster I, while neither other hexosamines nor D-glucosamine promoted fast growth for H. atroviridis. Cluster II contained again mostly monosaccharides, and also some oligosaccharides and arylglucosides. On these carbon sources H. atroviridis exhibited a slower increase in biomass formation compared to cluster I sources, which was constant during the whole time-course of the experiment (72 h). Cluster III comprised carbon sources on which biomass formation started with a considerable delay (between 42 and 48 h) and contained predominantly disaccharides and oligosaccharides, arylglucosides and L-amino acids. Cluster IV contained several L-amino acids, peptides, biogenic and heterocyclic amines, some TCA-cycle intermediates, and aliphatic organic acids, which promoted only very slow growth at 48 h. Weak and delayed biomass formation was detectable on some of those carbon sources, but the majority of them led to no growth at all.


Figure 1
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Fig. 1. Utilization of carbon sources by H. atroviridis P1. Joining cluster analysis was applied to mycelial growth values (OD750 units) at 36, 42 and 48 h, which correspond to the linear growth phase on the majority of carbon sources. bullet, Branching points of clusters.

 
Carbon sources inducing NAGase activity
We examined NAGase activity in H. atroviridis after 30 and 48 h directly in the Biolog PMs, which has the advantage that the measurement includes both the enzyme secreted into the medium and that bound to the fungal cell wall. Results of the NAGase activity measurements after 30 h are shown in Fig. 2Down(a). The obtained values displayed low variance, indicating reproducible enzyme activity measurements.


Figure 2
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Fig. 2. (a) Correlation of NAGase activity with biomass after 30 h of growth. Vertical bars indicate the SDs for the NAGase activity measurements. (b) Influence of the specific growth rate (the growth rate between 24 and 36 h divided by the biomass at 24 h) on NAGase S.A.s after 30 h of growth. {blacksquare}, Cluster I; {blacklozenge}, cluster II; {blacktriangleup}, cluster III; {circ}, cluster IV; {blacksquare}NAG, N-acetyl-D-glucosamine. The diagonal line is the trendline. A.U., arbitrary units.

 
The results showed a statistically significant correlation between NAGase activity and biomass formation (r=0.60, P<0.05; Fig. 2aUp) after 30 h. The growth rate influenced the level of NAGase S.A.s, with faster growth rates leading to a statistically significant increase in NAGase S.A.s (r=0.42, P<0.05; Fig. 2bUp). NAGases were formed on most carbon sources, but only a minor number yielded elevated S.A.s (see below).

With regard to enzyme activity, we defined two grades of induction: weakly inducing carbon sources, which produced an increase in S.A. of 150–200 % of the calculated mean of all carbon sources for a given time point, and moderately inducing carbon sources, which produced S.A.s higher than 200 % of the mean. N-acetyl-D-glucosamine was the only carbon source that caused strong NAGase induction (cf. Fig. 2a, bUp), and therefore it was omitted from the calculations of mean NAGase values.

After 30 h of growth, increased NAGase S.A.s were found on carbon sources that mainly belonged to the clusters I and II based on the respective growth kinetics. After 48 h of growth there was a marked shift of the affiliation of carbon sources causing increased NAGase S.A.s from clusters I/II to cluster II/III (Fig. 3Down). This correlates well with the fact that cluster III contains those carbon sources where active growth and biomass formation starts at 48 h.


Figure 3
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Fig. 3. NAGase S.A. in H. atroviridis on carbon sources from different growth clusters. Values above 200 % of the mean are indicated by {blacksquare} (30 h) and {blacklozenge} (48 h), and values between 150 and 200 % are indicated by {square} (30 h) and {lozenge} (48 h). The dashed and dotted lines show the mean for all carbon sources at 30 and 48 h, respectively. Cl., cluster; A.U., arbitrary units.

 
In addition to the strong inducer N-acetyl-D-glucosamine, which is known to induce NAGase formation even at concentrations as low as 1 mM (Mach et al., 1999Down), the following carbon sources also resulted in elevated NAGase activity: the {alpha}1->4 linked glucans/glucosides glycogen, dextrin, and maltotriose, {alpha}- and beta-cyclodextrin and maltose, the beta-glucosides cellobiose and beta-methylglucoside, the {alpha}-glucosides palatinose, turanose, salicin and arbutin, the sugar acids 2-keto-D-gluconate and D-glucuronate, the monosaccharides D-ribose, L- and D-arabinose, D-mannose, D-fructose, D-sorbitol (which is also a constituent of Tween 80), psicose, adonitol, m-inositol, and Tween 80 (polyoxyethylensorbitan monooleate) and beta-hydroxybutyric acid. Additionally, it was conspicuous that NAGase activity was enhanced on the D-galactose containing carbohydrates D-melibiose, D-raffinose and stachyose, lactulose, {alpha}-D-lactose, N-acetyl-D-galactosamine and {alpha}-methylgalactoside, and also the D-galactose derivates fucose and D-galacturonic acid. The NAGase S.A.s that could be found in the well solely containing water can be explained by the fact that the Phytagel spore carrier is a heteropolysaccharide composed of glucuronic acid, rhamnose (6-deoxymannose) and glucose.

Carbon sources inducing NAGase activity in a {Delta}nag1 strain
For the above described results we measured total NAGase S.A., which in fact is a mixture of the activity of the two NAGases Nag1 and Nag2. To identify whether the Nag1 and the remaining NAGase activity are coordinately or differentially regulated by inducing substances, enzyme activity measurements were carried out with a H. atroviridis {Delta}nag1 strain (Brunner et al., 2003Down). We did not find significant differences when the phenotype profile of the {Delta}nag1 and the wild-type strain were compared. With respect to enzyme activities, the {Delta}nag1 strain showed a strong reduction of NAGase activity on most carbon sources compared to the wild-type. This demonstrated that Nag1 was mainly responsible for the total NAGase S.A.s in the wild-type. However, the effect was still strongly carbon-source dependent as can be seen in Fig. 4Down.


Figure 4
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Fig. 4. Reduction of NAGase S.A.s in H. atroviridis {Delta}nag1. Values are given as a percentage in relation to NAGase S.A.s in the H. atroviridis wild-type (Fig. 3Up). Black bars, 30 h; grey bars, 48 h.

 
The main role of Nag1 during hyphal growth became apparent when the reduction of NAGase activity was compared for different growth clusters. After 30 h, clusters I and II, promoting fast growth and high biomass yield, had a mean reduction of 65 % of NAGase activity, while the reduction was only 38 % in cluster III and 16 % in cluster IV.

The reduction of NAGase activity was even more pronounced after 48 h of growth: a mean reduction of 64 % of NAGase activity for carbon sources of cluster I, 56 % for cluster II, 76 % for cluster III and 55 % for cluster IV.

Transcript analysis by real-time RT-PCR of nag1 and nag2
In order to test whether the data obtained by enzyme measurements actually reflect the expression of the nag1 and nag2 genes, we scaled up the incubation experiments to obtain enough mycelia for the extraction of RNA. Preliminary experiments with submerged cultivations (shake-flask cultures) showed that biomass formation was accompanied by early sporulation on carbon sources that provided slow growth of H. atroviridis, whereas on agar plates the fungus was growing slowly, but did not sporulate during growth. Consequently, cultivations on agar plates containing the respective carbon sources and covered with cellophane were chosen to obtain mycelial biomass for real-time RT-PCR analysis of nag1 and nag2 transcript formation. A representative set of carbon sources that displayed elevated NAGase S.A.s, namely dextrin, glycogen, maltotriose, D-melibiose, D-raffinose, beta-methylglucoside and m-inositol, were chosen for these experiments.

The results (Fig. 5a, bDown) demonstrate that the NAGase activity described above is in good accordance with the respective transcript abundance of nag1 and nag2. Growth on carbon sources that caused elevated NAGase activity resulted in higher transcript formation than the negative controls glucose and glycerol, indicating that nag1 and nag2 are regulated at the transcriptional level. Increased nag1 transcript formation was statistically significant at 24 and 30 h (one-way ANOVA, F (1, 18)=6.97, P=0.02). The abundance of the nag2 transcript (Fig. 5bDown) essentially reflected the relative abundances of the nag1 transcript. Thus, nag1 and nag2 transcription increased twofold–fourfold on ‘inducing’ carbon sources in comparison with glucose and glycerol, but the data also suggest that nag1 is more strongly regulated than nag2 on carbon sources that provide faster growth.


Figure 5
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Fig. 5. Results of transcript analysis of nag1 and nag2 after growth for 24, 30, 40 and 48 h on selected carbon sources. The values given are ratios of (a) nag1 and (b) nag2 transcript levels, normalized to tef1 as determined by real-time RT-PCR, and are shown as fold induction in relation to the respective values for glucose at 24 h, which was set 1. Black bars, 24 h; hatched bars, 30 h; grey bars, 40 h; white bars, 48 h; *, samples where conidiation could be observed.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In this study we analysed the stimulation of NAGase formation in H. atroviridis influenced by various carbon sources. A number of carbon sources that clearly enhanced NAGase activity were detected. They comprised {alpha}-glucans, like glycogen, dextrin and maltotriose, and several oligosaccharides, particularly those containing D-galactose. Polysaccharides with the same type of glycosidic linkage are constituents of the cell wall of the majority ascomycetes (Latgé et al., 2005Down; Schoffelmeer et al., 1999Down; Tomazett et al., 2005Down), including plant pathogens (Wolski et al., 2005Down). Moreover, the formation of a 1,3-{alpha}-glucanase has been shown to be part of the mycoparasitic response of H. lixii (Sanz et al., 2005Down). The stimulation of NAGase activity by {alpha}-glucans and D-galactose containing oligosaccharides may thus be part of a mechanism by which H. atroviridis senses the presence of a host cell wall containing chitin. In fact, chitin is deeply imbedded within the fungal cell wall (Mahadevan & Tatum, 1967Down) and not readily accessible without attack of the outer glucaneous layer. The availability of the respective oligosaccharides may signal that a cell wall degradation process has just been started.

As expected, N-acetyl-D-glucosamine, which has already been reported to induce nag1 expression in H. atroviridis and other Hypocrea/Trichoderma spp. (Brunner et al., 2003Down; Mach et al., 1999Down; Peterbauer et al., 1996Down, 2002Down), was also the strongest soluble inducer of NAGase activity among all tested carbon sources in our experiments.

It is an important finding that NAGase activity was not enhanced at low growth rates. This indicates that the stimulatory effect of various carbon sources detected in this study is not caused by carbon-catabolite derepression at decreased growth rates (Ilyes et al., 2004Down). In fact, to date there is no evidence that either nag1 or nag2 would be subject to carbon-catabolite repression at all.

Comparison of NAGase formation in the H. atroviridis wild-type strain and the {Delta}nag1 mutant showed that the reduction of NAGase activity varied greatly among the different carbon sources, and furthermore, the ratio was not constant but dependent on the growth phase. NAGase activity induced by D-glucosamine was almost completely maintained in the H. atroviridis {Delta}nag1 mutant, indicating that D-glucosamine mainly induces nag2. In the same strain, induction by N-acetyl-D-glucosamine was reduced to about 50 %. Therefore, nag1 is mainly induced by N-acetyl-D-glucosamine, whereas nag2 is induced by both this carbon source and D-glucosamine. Interestingly, these two carbon sources are assimilated by H. atroviridis at different rates: N-acetyl-D-glucosamine is utilized rapidly, whereas D-glucosamine provides only slow growth. This suggests that the poor utilization of D-glucosamine is most likely due to an inefficient uptake. In view of this, the fact that both N-acetyl-D-glucosamine and D-glucosamine induce nag2 indicates that the induction is caused before the uptake into the cell, e.g. by a receptor-mediated mechanism, which deserves further investigation.

D-glucosamine was reported to cause stronger induction of residual NAGases in a strain deleted in the nag2 orthologue in T. asperellum than N-acetyl-D-glucosamine (Ramot et al., 2004Down). Unfortunately, no comparison to the wild-type was given in that paper; therefore, the proportion of nag2 of total NAGase activity cannot be deduced. Although D-glucosamine also caused elevated NAGase activity in our experiments, the induction was only moderate in comparison with other carbon sources. This difference could be explicable by the fact that Ramot et al. (2004)Down used shake-flask cultures in their study, while we tested for NAGase activity in solid media. The influence of the cultivation method under otherwise similar conditions on gene expression has recently been the subject of several studies (Holker et al., 2004Down; te Biesebeke et al., 2005aDown, bDown). However, it should be noted that we also did not get high NAGase activities when H. atroviridis was grown directly on D-glucosamine in shake-flask cultures (data not shown) and, therefore, we consider it likely that the different inducibility of NAGases by N-acetyl-D-glucosamine and D-glucosamine could be due to the interspecific variability between H. atroviridis and T. asperellum.

Disproportionately high levels of NAGase activity remained in the {Delta}nag1 mutant when it was grown on some compounds such as L-arabinose, turanose and D-psicose, indicating a preferential induction of nag2 by these compounds. These findings show that Nag1 and Nag2 are not redundant but probably have different, specific functions in H. atroviridis metabolism. Separate analysis of nag1 and nag2 transcription on selected carbon sources generally confirmed the induction deduced from measurement of enzyme activity, although the relative abundance of the nag2 transcript varied less strongly than was deduced from the differences in NAGase activity between the wild-type and the {Delta}nag1 mutant. Brunner et al. (2003)Down have shown that the presence of Nag1 is necessary for full induction of chitinase activity in H. atroviridis, and it is possible that it also influences the induction of nag2. However, other factors such as stability of the enzyme and proteolytic degradation may influence this process.

Multiple genes encoding NAGases are also present in all the fungi whose genome sequences are available today and which are not mycoparasites (e.g. Phanerochaete chrysosporium, Neurospora crassa, Magnaporthe grisea, Fusarium graminearum, B. cinerea, Aspergillus fumigatus, Aspergillus nidulans, Aspergillus oryzae). This implies that the physiological role of these enzymes is not exclusively connected with mycoparasitism. The positive correlation between NAGase activity and the growth rate in H. atroviridis, as found in this work, and its occurrence in the cell wall (Brunner et al., 2003Down; Ramot et al., 2004Down) suggests an involvement of these enzymes in cell wall turnover. This is consistent with previous results (Brunner et al., 2003Down) that the {Delta}nag1 strain has a reduced rate of autolysis.

The screening system developed in this paper was based on a combination of PMs and an enzymic assay using a chromogenic substrate. It is a fast and reliable method to measure enzymic activities on a large set of carbon sources. Also, it can be adapted for enzyme activity measurements of a variety of extracellular and cell wall bound enzymes. By using appropriate promoter-fusion reporter systems, this method can be further used to monitor the expression of specific genes, even encoding intracellular enzymes. In fact, we have already tested one such system using the secreted Aspergillus niger glucose oxidase encoding goxA gene fused to the nag1 promoter (Mach et al., 1999Down), and the data obtained (V. Seidl, unpublished data) were generally concordant with those reported in this study. However, other highly sensitive and secretion-independent reporter systems, such as GFP (Larrainzar et al., 2005Down) or luciferase (Morgan et al., 2003Down), may prove to be even more effective in combination with the PM system. The rapidly growing number of fungal genome sequence databases is leading to an increase in the identification of genes for which orthologues in even closely related species do not exist (Dogra & Breuil, 2004Down; O'Brian et al., 2003Down; Schmoll et al., 2004Down). Such findings direct the attention of researchers to novel, yet uncharacterized, enzymes with unknown substrate specificities and physiological functions. Even for proteins with defined enzymic activities knowledge about their physiological roles is often restricted to transcript analysis for a limited set of growth conditions. Having an array-type system available to screen carbon sources and/or growth conditions under which a novel gene is actually expressed would facilitate assigning functions to newly found genes and greatly increase the knowledge about their metabolic functions. In fact, the differences in regulation between nag1 and nag2 as shown in this work would probably have gone undetected without this tool.


    ACKNOWLEDGEMENTS
 
This study was supported by EU-funded TrichoEST project (QLK3-2002-02032). The authors thank Bernhard Seiboth for helpful suggestions and critically reading the manuscript.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
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Received 3 February 2006; revised 15 March 2006; accepted 29 March 2006.


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