Comparative secretome analysis of Trichoderma asperellum S4F8 and Trichoderma reesei Rut C30 during solid-state fermentation on sugarcane bagasse

Background The lignocellulosic enzymes of Trichoderma species have received particular attention with regard to biomass conversion to biofuels, but the production cost of these enzymes remains a significant hurdle for their commercial application. In this study, we quantitatively compared the lignocellulolytic enzyme profile of a newly isolated Trichoderma asperellum S4F8 strain with that of Trichoderma reesei Rut C30, cultured on sugarcane bagasse (SCB) using solid-state fermentation (SSF). Results Comparison of the lignocellulolytic enzyme profiles of S4F8 and Rut C30 showed that S4F8 had significantly higher hemicellulase and β-glucosidase enzyme activities. Liquid chromatography tandem mass spectrometry analysis of the two fungal secretomes enabled the detection of 815 proteins in total, with 418 and 397 proteins being specific for S4F8 and Rut C30, respectively, and 174 proteins being common to both strains. In-depth analysis of the associated biological functions and the representation of glycoside hydrolase family members within the two secretomes indicated that the S4F8 secretome contained a higher diversity of main and side chain hemicellulases and β-glucosidases, and an increased abundance of some of these proteins compared with the Rut C30 secretome. Conclusions In SCB SSF, T. asperellum S4F8 produced a more complex lignocellulolytic cocktail, with enhanced hemicellulose and cellobiose hydrolysis potential, compared with T. reesei Rut C30. This bodes well for the development of a more cost-effective and efficient lignocellulolytic enzyme cocktail from T. asperellum for lignocellulosic feedstock hydrolysis.


Background
Lignocellulases (cellulases, hemicellulases, and ligninases) are the key enzymes involved in lignocellulose depolymerization, and have a wide array of industrial applications. Perhaps the most promising is their application in the bioconversion of lignocellulosic plant material to fermentable monomeric sugars, an essential step in second-generation bioethanol production [1]. Although significant progress has been made in the enzymatic saccharification of lignocellulosic feedstocks [2], full commercial-scale implementation is hampered by a number of factors, including the high cost of the enzymes required for efficient lignocellulose hydrolysis. One of the contributing factors is the intrinsic recalcitrance of plant cell walls, which demand high enzyme loadings for efficient degradation [3]. Multi-faceted approaches to reduce enzyme production costs and/or improve the efficiency of enzyme cocktails have therefore received growing attention, and a number of approaches are in use, including streamlining of bioprocess designs, development of cheaper feedstocks for enzyme production, improving and designing feedstockspecific cellulase cocktails, and bioengineering microorganisms expressing lignocellulolytic enzymes [4].
Solid-state fermentation (SSF), the culturing of microorganisms on moist solid substrates in order to mimic their natural physiology and growth environment, is an age-old, but resurgent culturing method for the production of lignocellulolytic enzymes [5][6][7][8][9]. The technical and economic benefits of SSF over traditional submerged fermentation include superior volumetric enzyme productivity, simpler fermenter design and downstream processing, lower aeration demands, no agitation requirements, lower sterility demands (due to lower water activity) and lower effluent generation [8,9]. Furthermore, SSF offers a biological process to convert cheap, under-utilized agroindustrial wastes (either as carbon/energy source or as an inert carrier) into high-value end products such as organic acids, flavour and aroma compounds, secondary metabolites, and industrially relevant enzymes [6].
The production of cellulases and hemicellulases via SSF has been investigated using different substrates and microorganisms [5,8]. The choice of appropriate substrate is important for the successful production of fungal enzymes, as complex feedstocks are known to induce expression of complex lignocellulolytic enzyme cocktails to ensure complete substrate hydrolysis [10]. Several Trichoderma species have been successfully cultivated on various lignocellulosic substrates under SSF conditions, and their important enzymes characterized, including cellulases from the T. reesei Rut C30 strain (hereafter referred to as Rut C30) [11][12][13][14].
Because of their high secretion capacity and relatively high specific enzyme activities, several Trichoderma species [21] and their inexpensive cultivation via SSF on various agricultural waste products to produce lignocellulases have previously been investigated [22][23][24]. Secretome studies to identify and quantify the major cellulases, hemicellulases, and accessory enzymes involved in the depolymerization and degradation of agricultural waste products have also been conducted [25,26]. Quantitative approaches to investigate the secretome of Rut C30 identified 350 secretory proteins, with the large majority being associated with cellulolytic and proteolytic enzymes [27]. A complementary study later identified 636 proteins secreted by T. reesei, of which 354 were quantified [28]. Although T. reesei is currently the main industrial source of commercial cellulases, it has a relatively poor repertoire of cellulases compared with other fungi [29]. The lack of potent hemicellulases and the low levels of β-glucosidase and other accessory enzymes in the secretome of industrially important T. reesei strains have prompted investigations into other fungal strains and/or enzymes that could potentially replace and/or supplement the T. reesei cellulases [30].
In the present study, the lignocellulolytic isolate S4F8, identified as a Trichoderma asperellum strain, was characterized in terms of its cellulase and hemicellulase enzymes when cultivated on untreated SCB in a simulated SSF process. The enzyme characteristics of T. asperellum S4F8 (hereafter referred to as S4F8) were compared with those of the benchmark Rut C30 strain, and comparative secretome analysis was used to differentiate between the enzyme cocktails produced by the two fungal strains.

Results and discussion
Isolation and identification of fungal isolate S4F8 During an extensive screen for culturable lignocellulolytic soil fungi, S4F8 outperformed other isolates with regard to growth on synthetic (carboxymethylcellulose (CMC), hydroxyethylcellulose (HEC), Avicel, and beechwood xylan (BWX)) and natural (wheat bran, triticale bran, and SCB) lignocellulosic substrates as the sole carbon source (data not shown). These results suggested that S4F8 most likely produces a well-balanced repertoire of core and accessory lignocellulosic enzymes required to degrade these substrates, and was therefore chosen for further enzyme characterization.
The 594 bp internal transcribed spacer (ITS) sequence amplified from isolate S4F8 displayed 100% homology to the partial ITS 1 and 2 regions of an uncultured Hypocreales clone [Genbank EF086981.1]. Five out of five conserved anchors (oligonucleotide barcodes) for the genus Hypocrea were identified in S4F8, using the TrichOKey barcode system [31], which is widely used for the identification of Trichoderma species originating from different geographical locations [31,32]. The S4F8 ITS sequence also showed 100% sequence identity to 40 T. asperellum species in the TrichoBLAST database, and was therefore identified as a T. asperellum strain belonging to the XII Rufa clade, section Pachybasium ' A'.
Strains of T. asperellum, which are frequently isolated from soil, plant roots and tissues, fungal biomass, and dead wood, have mostly been studied as mycoparasitic fungi with application as biocontrol agents [33,34]. In contrast to studies on Rut C30, studies on the extracellular hydrolytic enzymes of T. asperellum have been limited to the identification of proteins linked to its antagonistic interactions with other fungi and plants [35][36][37][38][39][40][41]. Further investigation was therefore required to characterize the lignocellulolytic enzymes expressed by T. asperellum strain S4F8.

Optimization of SSF culture conditions
Given the established success of Rut C30 in SSF, this culturing system was selected for a comparative study of the hydrolytic enzymes produced by S4F8 and Rut C30. An initial screening under different SSF conditions indicated that the highest enzyme activities of endoxylanase, β-xylosidase, endoglucanase, cellobiohydrolase I and β-glucosidase for both S4F8 and Rut C30 were recorded after 3 days of incubation on SCB (data not shown) as opposed to the 7 days typically reported for fungal SCB SSF [10,42].
The myriad of different conditions reported for Trichoderma SSF does not allow a proper comparison of the enzyme levels and activities for the different systems. Mekala and co-workers reported up to 25.6 filter paper units (FPU) per gram of dry substrate (gds) for Rut C30 in SCB SSF, whereas Trichoderma harzianum produced 12.8 U/ml xylanase on 280 g/l substrate after 7 days of incubation [43]. The latter study indicated that several experimental parameters influenced enzyme yields, including incubation time, extraction methods, and substrate loading. Other factors that improved cellulase production by T. reesei during SSF included relative humidity and temperature [14], continuous light exposure [44], aeration and higher substrate concentrations [6].
In the present study, S4F8 yielded marginally higher endoglucanase and β-xylosidase activities when incubated in darkness under controlled relative humidity (RH) of 90% (culture condition C) compared with the standard culture condition A (30°C in darkness without RH control), whereas exposure to light (culture condition B) had a generally negative effect on the enzyme activities of endoxylanase and side chain hemicellulases (Table 1). Because none of the modifications to the standard SSF conditions significantly improved the important enzyme activities, the standard conditions were used in subsequent experiments.
Characterization of lignocellulolytic enzyme activities produced during SCB SSF Hemicellulose, like lignin, acts as a physical barrier that protects cellulose against enzymatic degradation, but this barrier can be overcome through the synergistic action of enzyme cocktails with enhanced hemicellulolytic capabilities [45]. The present study found that the S4F8 SSF extract contained particularly high levels of main chain hemicellulases, endoxylanase (14.8 U/gds) and β-xylosidase (4.7/U gds), with a 4-fold and 23-fold higher activity, respectively, compared with that of Rut C30 (Figure 1). In terms of side chain hemicellulase enzyme activities, the S4F8 SSF extract furthermore displayed three-fold to four-fold higher levels of α-arabinofuranosidase and α-galactosidase activity. Compared with Rut C30, S4F8 showed comparable cellobiohydrolase I and endoglucanase activities and a three-fold higher β-glucosidase activity. This enzyme activity profile suggested that culturing S4F8 on untreated SCB using SSF produced an enzyme cocktail with enhanced hemicellulose degradation ability compared with that of Rut C30. As commercial T. reesei cellulase preparations are typically low in β-glucosidase activity, supplementation with exogenous β-glucosidases, either by homologous or heterologous expression of β-glucosidase genes, or co-cultivation of T. reesei with other high β-glucosidase-producing fungi, is often required for efficient hydrolysis of complex substrates [46]. Consequently, the enhanced β-glucosidase activity of S4F8 could render it suitable to meet this requirement.
Protein profiling of T. asperellum S4F8 and T. reesei Rut C30 secretomes Proteomics has greatly contributed to the current understanding of the enzymes involved in lignocellulosic hydrolysis, and brought us closer to elucidating the complete set of enzymes required for effective hydrolysis of complex substrates. The first proteomic investigations into the secretome of T. reesei [25] identified 22 and 36 proteins in strains Rut C30 and CL847, respectively, with the majority of these proteins being linked to cellulose and hemicellulose hydrolysis. More recently, the iTRAQ system has enabled quantitative analysis of the Rut C30 secretome, in which 636 secreted proteins were identified, with 230 proteins (36%) associated with cellulolytic and proteolytic enzymes [28]. A proteomic approach using liquid chromatography tandem mass spectrometry (LC-MS/MS) was used in this study to quantitatively compare the S4F8 and Rut C30 secretomes in a SCB SSF process, using a single time point and temperature. In total, 815 proteins were identified in the SSF extracts, with 418 and 397 proteins being specific to the S4F8 and Rut C30 extracts, respectively, and 174 proteins being common to both species (see Additional file 1: Table S1; see Additional file 2: Table S2). This high number of detected proteins could be attributable to the possibly higher induction of a large subset of enzymes during SCB SSF, and/or the high sensitivity of the LTQ Orbitrap Velos system.
Within the combined S4F8 and Rut C30 secretomes, N-terminal Sec-dependent secretion signals [47] were identified in silico for 315 proteins (39% of the total proteins detected), with 180 and 135 secreted proteins being predicted for S4F8 and Rut C30, respectively. The presence of more than 60% of the proteins in the secretomes without predicted secretion signals indicates possible cell lysis, cell death or non-classic secretory mechanisms.
two proteins involved in starch hydrolysis (none was found for Rut C30) ( Figure 2).
Grouping and distribution analysis of the secreted proteins according to glycoside hydrolase (GH) families into 34 different GH families (according to the carbohydrate-active enzyme database, CAZy, www. cazy.org) further highlighted the diverse enzymatic profile of the S4F8 and Rut C30 secretomes ( Figure 3A, Table 2). Firstly, not all of the predicted GHs (from the respective annotated genome sequence databases) were detected in the S4F8 and Rut C30 secretomes during SCB SSF; 36% of the total (potential) GH proteins were found in the S4F8 secretome, as opposed to 25% representation in the Rut C30 secretome (tabulated summary in Figure 3A). It was noteworthy that all the potential representatives of the GH1 (β-glucosidases), GH11 (endoxylanases), GH25 (N,O-diacetylmuramidase), GH54 and GH62 (α-L/N-arabinofuranosidases), and GH74 (xyloglucanases) families were detected in both strains.
In general, a diverse spectrum of depolymerization and accessory enzymes were detected in the two fungal secretomes, which agrees with the consensus that more complex substrates, such as untreated SCB, will lead to the induction of more complex lignocellulolytic cocktails. The lignocellulosic enzyme profile secreted by fungi is known to be dependent on the type and composition of the carbon source used, and it is to be expected that the S4F8 and Rut C30 secretomes will vary if carbon sources other than SCB are used, as was recently shown in a Penicillium echinulatum secretome study [10]. Compared with the P. echinulatum secretome on SCB, which contained predominantly cellulolytic enzymes [10], both S4F8 and Rut C30 produced a more diverse GH profile, with a higher number of βglucosidases and hemicellulases (both main and side chain) detected during SSF on SCB.

Conclusion
The hyperproducing and hypersecreting Trichoderma reesei Rut C30 mutant strain is considered a paradigm among cellulase-producing T. reesei strains and has served as the benchmark for industrial cellulase production. However, driven by an increased demand for cheaper and more efficient lignocellulolytic enzyme cocktails, considerable research effort is focused on the further improvement of the 'lignocellulose degradome' of T. reesei and in finding alternative enzymes that could potentially replace and/or supplement T. reesei cocktails to overcome the remaining challenges for commercially feasible biomass-to-ethanol conversion processes. The results presented here indicate that T. asperellum strain S4F8, which grew particularly well on SCB, produced a lignocellulolytic cocktail in an SSF process with hemicellulase and β-glucosidase abilities that exceeded those of T. reesei Rut C30. We provide the first comprehensive secretome analysis for a T. asperellum strain, and reveal that its secretome contains a more complex cocktail of GH family representatives than T. reesei Rut C30. Furthermore, the efficacy of untreated SCB in an SSF process highlights the suitability of this cheap, widely available agroindustrial waste product as a substrate for the production of fungal lignocellulolytic enzymes. In summary, the T. asperellum strain S4F8 has significant potential for the production of lignocellulolytic enzymes, and merits further investigation, which could include in-depth characterization of individual enzymes or multi-enzyme complexes, the evaluation of other lignocellulosic substrates, optimization of the SSF culture conditions, and strain improvement.

Strains, media, and chemicals
The T. reesei Rut C30 (ATCC 56765) strain [53] was obtained from the culture collection of the Department of Microbiology, Stellenbosch University, South Africa. The S4F8 strain was isolated from a forest soil sample collected from the Oribi Gorge, KwaZulu-Natal, South Africa.
Strains were maintained on malt extract agar (MEA; Sigma Aldrich, Seelze, Germany) or potato dextrose agar (PDA; Merck KGaA, Darmstadt, Germany) at 30°C and stored on MEA slants at room temperature. When required, strains were cultured in yeast peptone dextrose (YPD) broth (Merck, KGaA). All chemicals, media components, and supplements were analytical grade.

Isolation of lignocellulolytic fungi
To select for fungi capable of growth on cellulosic substrates, 1 g soil sample was resuspended in 10 ml physiological salt solution (8.5 g/l NaCl), and plated onto agar plates containing synthetic medium (1.76 g/l yeast nitrogen base, 5 g/l ammonium sulfate) with either 10 g/l HEC or CMC as sole carbon source. Degradation of amorphous cellulose was confirmed by the presence of clear halos around the colonies following Congo Red staining [54].
The 25 μl PCR reaction mix contained approximately 100 ng genomic DNA, 0.2 μmol/l of each primer, 10 μmol/l deoxynucleotides, and 1 U ExTaq (TaKara Bio Inc., Otsu Shiga, Japan). The PCR reaction was carried out in a GeneAmp PCR System 2400 (Perkin Elmer), using 30 cycles of denaturation at 94°C for 1 minute, annealing at 58°C for 1 minute, and extension at 72°C for 1 minute, with a final extension step at 72°for 7 minutes. PCR products were visualized by electrophoresis in 0.8% (w/v) agarose (Sigma Aldrich) gels at 80 V and the approximately 600 bp amplicon was excised and gel-purified using the Zymoclean TM Gel DNA Recovery Kit (Zymo Research Corp.). The fragment was cloned using the InsTAclone TM PCR Cloning Kit (Fermentas, Maryland, USA) and transformed into Escherichia coli DH5α.
Sequencing of triplicate clones was carried out with an Applied Biosystems 3130xl Genetic Analyzer (Central Analytical Facility, Stellenbosch, South Africa). Sequence alignment and analysis were performed with DNAMAN software (Lynnon Corporation, Canada) and the final consensus sequence subjected to a similarity search using the BLASTn algorithm (http://blast.ncbi.nlm.nih. gov). The TrichOKey2 oligonucleotide DNA BarCode system [31] and TrichoBLAST (http://www.isth.info/ tools/blast/index.php) were used for final identification.

Solid-state fermentation
A flow diagram for the cultivation of the fungi, enzyme assays, and proteomic analysis is shown in Figure 4. The fungal strains were cultured on MEA, and allowed to sporulate. A quantity (5 g) of dry, untreated SCB (TSB Sugar RSA, Mpumalanga, South Africa) was dispensed into 250 ml Erlenmeyer flasks, 10 ml of a mineral salt solution (6 g/l Na 2 HPO 4 , 3 g/l NaH 2 PO 4 , 1 g/l KCl, and 0.1 g/l MgSO 4 . 7H 2 O, adjusted to pH 7.0 with concentrated HCl) was added, and the mixture was sterilized by autoclaving for 15 minutes at 121°C.
For enzyme activity profiles and secretome analysis, suspensions of T. reesei Rut C30 and T. asperellum S4F8

SDS-PAGE analysis
Lyophilized secretome extracts were reconstituted with deionized water, protein concentrations were determined with the detergent compatible (DC) Lowry protein assay kit (BioRad, Melville, NY, USA), and 20 μg samples were loaded in triplicate into a 10% SDS-polyacrylamide gel for electrophoresis. Protein profiles were visualized by overnight staining with 5 g/l Coomassie Blue G-250 (Merck), followed by destaining with 100 ml/l acetic acid [59].

In-gel trypsin digestion
Triplicate lanes from the SDS-PAGE gel were divided into three fractions for analysis by MS. Each fraction was diced into smaller pieces (1 mm × 1 mm) to simplify subsequent sample preparation. The collection of smaller pieces from each fraction was washed twice with water followed by 50% (v/v) acetonitrile for 10 minutes.
The acetonitrile was replaced with 50 mmol/l ammonium bicarbonate and the pieces incubated for 10 minutes; this was repeated two more times. All the gel pieces were then incubated in 100% acetonitrile until they turned white, after which they were vacuum-dried. Proteins were reduced with 10 mmol/l DTT for 1 hour at 57°C. This was followed by brief washing steps with 50 mmol/l ammonium bicarbonate followed by 50% acetonitrile, before proteins were alkylated with 55 mmol/l iodoacetamide for 1 hour in the dark. The gel pieces were washed with 50 mmol/l ammonium bicarbonate for 10 minutes, followed by 50% acetonitrile for 20 minutes, before being vacuum-dried. The gel pieces were digested with 100 μl of a 10 ng/μl trypsin solution at 37°C overnight. The resulting peptides were extracted twice with 70% acetonitrile in 0.1% formic acid for 30 minutes followed by 100% acetonitrile for 30 minutes. The resulting peptides were desalted using Stage tips [60]. Dried peptides from each fraction were dissolved in 5% acetonitrile in 0.1% formic acid, from which 10 μl injections were prepared for nano-LC chromatography.

Mass spectrometry
All experiments were performed on a Thermo Scientific EASY-nLC II connected to a LTQ Orbitrap Velos Mass Spectrometer (Thermo Scientific, Bremen, Germany) equipped with a nano-electrospray source. For liquid chromatography, separation was performed on an EASY Column (2 cm, ID 100 μm, 5 μm, C18) pre-column, followed by a XBridge BEH130 NanoEase column (15 cm, ID 75 μm, 3.5 μm, C18) with a flow rate of 300 nl/min. The gradient used was 5 to 17% B in 5 minutes, 17 to 25% B in 90 minute, 25 to 60% B in 10 minutes, 60 to 80% B in 5 minutes, and kept at 80% B for 10 minutes. Solvent A was aqueous solution in 0.1% formic acid, and solvent B was 100% acetonitrile in 0.1% formic acid. The mass spectrometer was operated in data-dependent mode to automatically switch between Orbitrap-MS and LTQ-MS/MS acquisition. Data were acquired using the Xcalibur software package. The precursor ion scan MS spectra (m/z 400 to 2000) were acquired in the Orbitrap with resolution R = 60 000 with 1 × 10 6 accumulated ions. The 20 most intense ions were isolated and fragmented in a linear ion trap (1.5 × 10 4 accumulated ions) using collision-induced dissociation. The lock mass option (polydimethylcyclosiloxane; m/z 445.120025) enabled accurate mass measurement in both the MS and MS/MS modes. In data-dependent LC-MS/MS experiments, dynamic exclusion was used with an exclusion duration of 60 seconds. MS conditions were 1.8 kV with a capillary temperature of 250°C, and no sheath and auxiliary gas flow. For MS/MS, the ion selection threshold was 500 counts, activation Q-value was 0.25 and activation time was 10 milliseconds.
Eighteen raw files were processed using MaxQuant 1.2.2.5 [61] for protein identification and label-free quantification, using the Joint Genome Institute (JGI) database for Trichoderma asperellum CBS 433.97 version 1.0 (http://genome.jgi.doe.gov/Trias1/Trias1.home. html) and Trichoderma reesei RUT C-30 version 1.0. (http://genome.jgi.doe.gov/TrireRUTC30_1/TrireR-UTC30_1.home.html). Carbamidomethyl cysteine was set as the fixed modification, with oxidized methionine, acetylation (N-term), deamidation (NQ) and Pyr-Q (Gln to 2-pyrrolidone-5-carboxylic acid-Glu) and Pyr-E (Glu to 2-pyrrolidone-5-carboxylic acid-Glu) as the variable modification. The precursor mass tolerance was set to 20 ppm, and the fragment mass tolerance to 0.8 Da. Two missed tryptic cleavages were allowed, with a minimal peptide length of six amino acids. Proteins that were identified were reported as single groups. Only proteins containing at least one unique peptide were considered. The criteria that were applied included a peptide and protein FDR of 1% (0.01), and a posterior error probability of 0.01. These extremely strict parameters guaranteed that proteins would be identified with high confidence.
Proteins that were differentially expressed between T. asperellum S4F8 and T. reesei Rut C30 were determined using Maxquant LFQ intensity values as a parameter for protein abundance [62]. Subsequent statistical analysis was performed using Perseus. Proteins with a fold regulation of at least two and P-value of at least 0.05 were accepted. Proteins identified in only one species were required to be identified with at least two unique peptides to ensure abundance differences were real and not due to non-identification of parent ions by the MS analysis. SignalP (www.cbs.dtu.dk/services/SignalP) was used to identify possible secretion signals.

Proteome network analysis
Each secreted protein in the Rut C30 and S4F8 secretomes was annotated according to broad functional categories and their specific enzymatic activity or molecular function (see Additional file 3: Table S3). In addition, proteins known to be members of a specific GH family were annotated as such. A custom-built Perl program was written in order to create a network in which the broad functional categories and the proteins were nodes and edges were created between the categories and the proteins assigned to them. The program also created a second network, in which the GH families and the proteins were nodes, and edges were created between GH family nodes and the proteins assigned to them. The union of these two networks was taken and a complete breadth-first search performed, starting from all GH family nodes. The nodes and edges selected by the breadth-first search were used to create a new network, which was visualized with Cytoscape [63]. A spring-embedded layout was used on the network and nodes were further manually arranged for better visualization. A Perl program was also used to create network annotations in order to control both node label size and node colour (purple if from T. reesei Rut C30, blue if from T. asperellum S4F8. and red if the protein was found in both secretomes). Node label positions were further adjusted manually.

Additional files
Additional file 1: Table S1. All peptides detected with posterior error probability (PEP) < 0.01 and at least one unique peptide in secretomes of Trichoderma asperellum S4F8 and Trichoderma reesei Rut C30 grown in sugarcane bagasse (SCB) solid-state fermentation (SSF). Raw data from liquid chromatography tandem mass spectrometry analysis.
Additional file 2: Table S2. All the proteins detected with posterior error probability (PEP) < 0.01 in SCB SSF secretomes of Trichoderma asperellum S4F8 and Trichoderma reesei Rut C30 grown in sugarcane bagasse (SCB) solid-state fermentation (SSF). Raw data from liquid chromatography tandem mass spectrometry analysis.
Additional file 3: Table S3. Grouping of secreted proteins for the SCB SSF secretomes of Trichoderma asperellum S4F8 and Trichoderma reesei Rut C30 for functional annotation network analysis. Raw data from functional annotation network analysis.