Skip to main content
Genetics and Molecular Biology logoLink to Genetics and Molecular Biology
. 2018 Dec 10;41(4):843–857. doi: 10.1590/1678-4685-GMB-2017-0363

Molecular evolution and transcriptional profile of GH3 and GH20 β-N-acetylglucosaminidases in the entomopathogenic fungus Metarhizium anisopliae

Eder Silva de Oliveira 1, Ângela Junges 1, Nicolau Sbaraini 1, Fábio Carrer Andreis 1, Claudia Elizabeth Thompson 1, Charley Christian Staats 1, Augusto Schrank 1
PMCID: PMC6415606  PMID: 30534852

Abstract

Cell walls are involved in manifold aspects of fungi maintenance. For several fungi, chitin synthesis, degradation and recycling are essential processes required for cell wall biogenesis; notably, the activity of β-N-acetylglucosaminidases (NAGases) must be present for chitin utilization. For entomopathogenic fungi, such as Metarhizium anisopliae, chitin degradation is also used to breach the host cuticle during infection. In view of the putative role of NAGases as virulence factors, this study explored the transcriptional profile and evolution of putative GH20 NAGases (MaNAG1 and MaNAG2) and GH3 NAGases (MaNAG3 and MaNAG4) identified in M. anisopliae. While MaNAG2 orthologs are conserved in several ascomycetes, MaNAG1 clusters only with Aspergilllus sp. and entomopathogenic fungal species. By contrast, MaNAG3 and MaNAG4 were phylogenetically related with bacterial GH3 NAGases. The transcriptional profiles of M. anisopliae NAGase genes were evaluated in seven culture conditions showing no common regulatory patterns, suggesting that these enzymes may have specific roles during the Metarhizium life cycle. Moreover, the expression of MaNAG3 and MaNAG4 regulated by chitinous substrates is the first evidence of the involvement of putative GH3 NAGases in physiological cell processes in entomopathogens, indicating their potential influence on cell differentiation during the M. anisopliae life cycle.

Keywords: NAGases, GH20 and GH3, Metarhizium, chitinolytic system, entomopathogenesis

Introduction

Chitin is the second most abundant polymer on Earth and its recycling from carapaces, cuticles and fungal cell walls impacts on carbon and nitrogen cycles. The chitin polymer is composed of β-1,4-linked N-acetyl-D-glucosamine (GlcNAc) subunits (Beier and Bertilsson, 2013) and its degradation can be driven in two ways: i) chitin can be deacetylated to chitosan by action of chitin deacetylases (EC 3.5.1.41), which yields glucosamine monomers via the enzymatic hydrolysis by chitosanase (EC 3.2.1.132); or ii) by the chitinolytic degradation process generating GlcNAc monomers, which involves the initial hydrolysis of the β-1,4 glycoside bonds by the action of a group of enzymes, including chitinases (EC 3.2.1.14), lytic polysaccharide monooxygenases (LPMOs) (of the auxiliary activity 10 family - AA10; EC N/A) and β-N-acetylglucosaminidases (NAGases; EC 3.2.1.52) (Beier and Bertilsson, 2013; Thorat et al., 2017). The enzymes evolved in the chitinolytic degradation process act in a consecutive fashion to completely degrade chitin (Patil et al., 2000; Hartl et al., 2012; Brzezinska et al., 2014). LPMOs and endo-acting GH18 chitinases insert strand breaks at random positions within the chitin polymer, while exo-acting GH18 chitinases subsequently cleave chito-oligosaccharides (Chavan and Deshpande, 2013; Langner and Göhre, 2015). Finally, NAGases hydrolyze β-1,4 linkages on N-acetylglucosamine dimers (chitobiose), producing GlcNAc monosaccharides (Duo-Chuan, 2006).

NAGases are classified into three glycoside hydrolase (GH) families, 3, 20, and 84, on the basis of their amino acid sequence similarities (Cantarel et al., 2009). GH3 and GH84 NAGases are distributed in several bacterial and metazoan cells, respectively, while members from the GH20 family are versatile enzymes abundant in fungi and insects. Although these three families encompass functionally related enzymes, they possess no sequence homology, differing in their structure and catalytic mechanism (Slámová et al., 2010; Liu et al., 2012).

The genomes of ascomycetous filamentous fungi contain, on average, 15 to 25 chitinase-encoding genes, but only one or two genes encoding GH20 NAGases (Seidl, 2008; Junges et al., 2014). Notably, as has been shown for the mycopathogenic fungus Trichoderma atroviride, chitin could not be used as a nutrient source if NAGase activity is absent, despite the presence of approximately 30 chitinase genes, emphasizing the importance of these enzymes for the full degradation of the chitin polymer (López-Mondéjar et al., 2009). In this way, the diversity of chitinase genes contrasts with the relatively low number of NAGase genes and their fundamental importance on chitin metabolism.

Potential functions for NAGases in fungi include the use of exogenous chitin as a nutrient source and cell wall turnover during the fungal life cycle (Seidl et al., 2006). These functions have already been described for GH20 NAGases in T. atroviride (Seidl et al., 2006; López-Mondéjar et al., 2009), Aspergillus sp. (Kim et al., 2002), and Neurospora crassa (Tzelepis et al., 2012). In addition, GH20 NAGases participate in processes related to fungal hyphal extension and branching (Rast et al., 1991), fungal cell wall degradation during autolysis (Díez et al., 2005), and have a putative role in insect pathogenesis (St. Leger et al., 1991).

In contrast, NAGases belonging to the GH3 family consist of a small group of bacterial enzymes that possess a broad range of functions depending on the organism. Similarly to GH20 NAGases, some GH3 NAGases participate in chitin catabolism, as in marine chitinolytic bacteria, such as Vibrio furnissii and Alteromonas sp. (Tsujibo et al., 1994; Chitlaru and Roseman, 1996). Notably, only recently, the first fungal GH3 NAGase was described (Yang et al., 2014). The RmNag enzyme from the zygomycete Rhizomucor miehei exhibited hydrolysis activity on N-acetylchitooligosaccharide (GlcNAc)2-3 substrates. This report further supports the existence of GH3 NAGases in other fungal species, especially in ascomycetes, considering their expansion of chitinolytic machinery genes (Seidl 2008; Junges et al., 2014).

In recent years the chitin degradation machinery has attracted much attention, especially in entomopathogenic fungi, such as Metarhizium anisopliae (Hypocreales: Clavicipitaceae). In these species, the chitinolytic system has, probably, two main biological functions: Firstly, as chitin is the major component of fungal cell walls, chitin-degrading enzymes act on the cell wall remodeling, which is necessary for hyphal vegetative growth (Seidl, 2008). Secondly, the infection of arthropod hosts requires a prior chitin hydrolysis of the exoskeleton (St. Leger et al., 1991). Furthermore, M. anisopliae has the ability to differentiate into specialized cell types during its infection cycle. The switch between conidia to hyphae and the formation of infection structures (i.e., appressorium and blastospore), are processes that require chitin degradation (Schrank and Vainstein, 2010). Notably, the importance of some M. anisopliae chitinase genes in infection process have been suggested and functionally verified using knockout constructions (da Silva et al., 2005; Boldo et al., 2009; Staats et al., 2013).

Despite the knowledge gained by the study of chitinases in Metarhizium, the role of NAGases in the life cycle and infection process of entomopathogens has not been fully elucidated. This study surveyed putative NAGase genes from GH3 and GH20 families in M. anisopliae and investigated their evolutionary relationships to those of other filamentous ascomycetes. To further characterize NAGase genes in M. anisopliae, their expression patterns were evaluated in different cell types and various nutritional conditions. The results suggest new possibilities for studying NAGases participation in M. anisopliae biology.

Material and Methods

NAGase gene mining of the M. anisopliae genome

The survey of NAGase genes was performed in the M. anisopliae E6 genome assembly (accession number PRJNA245858) (Staats et al., 2014). In order to identify putative GH20 NAGase genes, three well described NAGase sequences of filamentous fungi were used as the query in a tBLASTn search: NagA from A. nidulans (XP_659106) (Kim et al., 2002), and Nag1 and Nag2 from T. atroviride (EHK40646 and EHK46127) (Brunner et al., 2003; López-Mondéjar et al., 2009). Further screening was performed using the conserved GH20 domain sequence found in GH20 hexosaminidases (InterProScan IPR015883) as the query. To identify M. anisopliae putative NAGases of the GH3 family, the NagA protein sequence from the bacteria Streptomyces thermoviolaceus OPC-520 (BAA32403) was used as a query in the tBLASTn search (Tsujibo et al., 1998). Additionally, the GH3 RmNag sequence from the zygomycete R. miehei CAU-432 (AGC24356), the only fungal GH3 family member with NAGase activity to date (Yang et al., 2014), was also used a query. Further screening was performed using the conserved GH3 domain sequence from GH3 hexosaminidases (InterProScan IPR001764) as a query. All NAGase sequences were extracted from the BROAD Institute and NCBI databases.

Each identified NAGase sequence was applied to search for similarity on M. anisopliae contigs employing the tBLASTn algorithm in the BioEdit software (Hall, 1999). The positive NAGase containing contigs were screened for GH20 and GH3 family domains. The same screening methodology was applied using the conserved sequence motif from GH20 NAGases (H/N-x-G-A/C/G/M-D-E-A/I/L/V) (Slámová et al., 2010) and the conserved motif from GH3 NAGases (K-H-F/I-P-G-H/L-G-x-x-x-x-D-S/T-H) (Mayer et al., 2006).

NAGase sequence analyses

To further confirm and analyze the specific GH20 and GH3 NAGases domains identified by the in silico survey, the predicted sequences were compared with sequences deposited on InterProScan (Zdobnov and Apweiler, 2001), dbCAN (Yin et al., 2012) and CDD (Conserved Domain database) databases (Marchler-Bauer et al., 2009). Additionally, BLASTx and manual inspection (search for canonical 5’ and 3’ splice sites) was employed to predict and compare the number and position of introns between M. anisopliae putative NAGase gene sequences and public NAGase sequences. Theoretical isoelectric points and molecular mass values were obtained from Compute pI/Mw tool (Bjellqvist et al., 1993, 1994). Transmembrane domains were investigated by TMHMM v.2.0 (Krogh et al., 2001). Theoretical signal peptide cleavage sites were analyzed by the SignalP 4.1 server (Petersen et al., 2011). GPI-anchoring signals were predicted by the big-PI Fungal Predictor software (Eisenhaber et al., 2004). Non-classical secretion pathway prediction was evaluated by the SecretomeP server 2.0 (Bendtsen et al., 2004) and the number of N-glycosylation sites was predicted by the GlycoEP Predictor (Chauhan et al., 2013).

NAGase protein phylogeny

M. anisopliae putative GH20 and GH3 NAGase sequences were employed to identify ortholog sequences in 15 filamentous fungi species (Table 1). RmNAG of the zygomycete R. miehei and 10 well described bacterial GH3 NAGases were added to the phylogenetic analysis of GH3 NAGases. Additionally, M. anisopliae β-glucosidases, characterized fungal β-glucosidases and putative β-glucosidases from species described in Table 1, were used as outgroup for the phylogenetic analysis.

Table 1. List of microorganisms used in GH20 and GH3 NAGases phylogenetic analysis.

Category a Microorganisms Protein name b Reference
Fungi
A, B, C Aspergillus fumigatus Af293 (Nierman et al., 2005)
A, B, C Aspergillus nidulans FGSC A4 (Galagan et al., 2005; Wortman et al., 2009)
A, B, C Aspergillus niger CBS 513.88 (Pel et al., 2007)
A, B, C Beauveria bassiana ARSEF 2860 (Xiao et al., 2012)
A, B, C Cordyceps militaris CM01 (Zheng et al., 2011)
A, B, C Fusarium graminearum PH-1 (Cuomo et al., 2007)
A, B, C Fusarium oxysporum f. sp. cubense (Guo et al., 2014)
A, B, C Magnaporthe oryzae 70-15 (Dean et al., 2005)
A, B, C Metarhizium acridum CQMa 102 (Gao et al., 2011)
A, B, C Metarhizium robertsii ARSEF 23 (Gao et al., 2011; Hu et al., 2014)
A, B, C Nectria haematococca MPVI 77-13-4 (Coleman et al., 2009)
A, B Neurospora crassa OR74A (Galagan et al., 2003)
A, B, C Trichoderma atroviride IMI 206040 (Kubicek et al., 2011)
A, B, C Trichoderma reesei QM6a (Martinez et al., 2008)
A, B, C Trichoderma virens Gv29-8 (Kubicek et al., 2011)
B Rhizomucor miehei RmNag (Yang et al., 2014)
C Amesia atrobrunnea CEL3a, CEL3b (Colabardini et al., 2016)
C Aspergillus aculeatus BGL1 (Kawaguchi et al., 1996)
C Aspergillus oryzae RIB40 BglA, BglF, BglJ (Kudo et al., 2015)
C Neurospora crassa OR74A BGL2 (Pei et al., 2016)
C Penicillium brasilianum BGL1 (Krogh et al., 2010)
C Thermothelomyces thermophila ATCC 42464 MtBgl3b (Zhao et al., 2015)
C Ustilago esculenta UeBgl3A (Nakajima et al., 2012)
Bacteria
B Alteromonas sp. 0-7 HEXA (Tsujibo et al., 1994)
B Bacillus subtilis 168 NAGZ (Liu et al., 1997)
B Cellulomonas fimi NAG3 (Mayer et al., 2006)
B Clostridium paraputrificum M-21 NAGZ (Li et al., 2003)
B Escherichia coli K-12 NAGZ (Cheng et al., 2000)
B Streptomyces thermoviolaceus OPC-520 NAGA (Tsujibo et al., 1998)
B Thermotoga maritima NSB-8 NAGA (Choi et al., 2009)
B Thermotoga neapolitana KCCM-41025 CBSA (Choi et al., 2009)
B Vibrio cholerae NAGZ (Stubbs et al., 2007; Balcewich et al., 2009)
B Vibrio furnissii 7225 NAGZ (Chitlaru and Roseman, 1996)
a

Microorganisms were classified according to their use in phylogenetic analysis: (A) microorganisms containing M. anisopliae GH20 NAGases orthologs; (B) microorganisms containing M. anisopliae GH3 NAGases orthologs; and (C) microorganisms containing β-glucosidases included as an outgroup in GH3 NAGase phylogenetic analysis.

b

Named proteins are characterized enzymes.

Only fungal sequences were used for the inference of the phylogenetic tree of GH20 NAGases, since alignment errors are more frequent when divergent sequences are included in the analysis. The amino acid alignments were built and trimmed with GUIDANCE2 (Sela et al., 2015) using PRANK (Löytynoja and Goldman, 2010) as an MSA algorithm with 100 bootstrap replicates and the additional default parameters. The cut-off score for filtering unreliably aligned amino acids was chosen to be 0.60, after the multiple alignments were manually checked. The best-fit evolutionary model was evaluated using ProtTest 3.4 (Darriba et al., 2011). MrBayes 3.2.5 (Ronquist et al., 2012) and PhyML 3.1 (Guindon et al., 2010) were used to infer the GH3 and GH20 NAGase phylogenetic trees using Bayesian inference (BI) and maximum likelihood (ML), respectively. Four chains were run for 1,000,000 generations, sampled every 100 steps, with an average standard deviation of split frequencies < 0.01 as convergence criterion and 25% of genealogies discarded as burn-in in the BI analysis. In the ML analysis, a fast approximate likelihood ratio test (aLRT) was used for determining the branch support, which is a an appropriate alternative for the computationally demanding bootstrap analysis (Anisimova and Gascuel, 2006; Anisimova et al., 2011).

Fungal strain and culture conditions

Metarhizium anisopliae E6 strain was isolated from the insect Deois flavopicta in Brazil. Conidia were collected from agar plate cultures and filtered with glass wool to remove the mycelium. M. anisopliae conidial suspensions (1106 conidia/mL) were cultured under seven different growth conditions prior to RNA extraction: i) Cove’s Complete medium (MCc) containing (w/v) 1% glucose, 0.6% NaNO3, 0.15% casein hydrolisate, 0.05% yeast extract, 0.2% peptone, pH 7.0 plus 2% (v/v) salts solution [2.6% KCl, 2.6% MgSO4.7H2O and 7.6% KH2PO4 (w/v)] and 0.04% (v/v) Trace Elements Solution [0.04% Na2Ba4O7.7H2O, 0.4% CuSO4.5H2O, 0.01% FeSO4, 0.8% Na2MNO4.7H2O, 0.8% MnSO4.7H2O and 0.8% ZnSO4.7H2O (w/v)] (Pinto et al., 1997); ii) 0.25% GlcNAc in minimum medium composed of 0.6% NaNO3 (w/v) plus 0.25% GlcNAc) (w/v) as carbohydrate source, with salts and trace element solutions (Junges et al., 2014); iii) 1% Chitin in minimum medium composed of 0.6% NaNO3 (w/v) plus 1% crystalline chitin from crab shells as a carbohydrate source, with salts and trace element solutions (Junges et al., 2014). M. anisopliae cultures i, ii and iii were maintained on a shaker (180 rpm) for 72 h at 28 °C, then washed with sterile distilled water and filtered through Miracloth and frozen in liquid nitrogen for total RNA extraction; iv) Autolysis: medium for mycelium autolysis induction (1% glucose (w/v) and 0.6% NaNO3 (w/v), sustained for 9 days) (Junges et al., 2014; Kappel et al., 2016); v) Sporulation: on MCc agar plates for conidia RNA extraction; vi) Blastospores: Inoculation of 5104 conidia/mL on ADAMEK medium for blastospore production [3% corn steep solids, 4% glucose and 3% yeast extract (w/v)], shaking for 64 h at 28 ºC (Adamek, 1965); vii) Appressorium induction medium: 5105 conidia/mL was inoculated in 0.004% yeast extract solution on 500 glass coverslips for 16 h at 28 ºC (Junges et al., 2014). Blastospore and appressorium induction were confirmed by microscopic observation of randomly selected coverslips (Figure S1 (278.9KB, pdf) ).

RNA sample preparation

Total RNA extraction from M. anisopliae cells harvested under all seven different growth conditions was performed in triplicate. Samples were ground using a mortar and pestle in liquid nitrogen, prior to standard RNA extraction using Trizol Reagent (Life Technologies, Grand Island, NY, USA). Residual DNA was removed with DNase (Thermo Scientific, MA, USA). Thereafter, extracted RNAs were passed through RNeasy Cleanup columns (Qiagen, Hilden, Germany). RNA samples were quantified using a Qubit fluorometer (Life Technologies, Grand Island, NY, USA), and stored at -80 °C. One microgram of total RNA was used for cDNA synthesis using MMLV-RT enzyme (Life Technologies, Grand Island, NY, USA). All procedures were performed according to the manufacturer’s instructions.

Quantitative PCR (qPCR) experiments

Polymerase chain reactions were carried out on ABI-7500 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA). Platinum SYBR Green qPCR SuperMix-UDG (Life Technologies, Grand Island, NY, USA) was used to monitor dsDNA synthesis. Each biological sample was analyzed in technical triplicates; no-template and no-reverse transcriptase controls were included.

Primers for qPCR assays were designed using VECTOR NTI software (Thermo Fisher Scientific, Waltham, MA, USA) (Table S1 (80.7KB, pdf) ). Five housekeeping genes were evaluated: act (γ-actin), gapdh (glyceraldehyde 3-phosphate dehydrogenase), tef1-α (translation elongation factor 1-α), trp1 (tryptophan biosynthesis enzyme), and tub (α-tubulin). The efficiency of each reference gene across samples was analyzed using geNorm version 3.5 (Vandesompele et al., 2002) and NormFinder (Andersen et al., 2004). The best reference gene identified by both analyses for the samples tested was tef1-α, which was subsequently used in all qPCR assays (Table S1 (80.7KB, pdf) ).

Melting curves from each qPCR reaction were analyzed to confirm specificity of the synthesized products and absence of primer dimers. Relative transcript expressions were analyzed by Cq (quantification cycle) values, applying the 2-DDCt method (Livak and Schmittgen, 2001). Results were processed in GraphPad Prism (La Jolla, CA, USA) for graphics and statistical data acquisition. One-way analysis of variance (ANOVA), followed by Tukey’s multiple comparisons test (p < 0.05) were performed to determine statistical differences among 2-DDCt values of the seven experimental conditions.

Results

M. anisopliae putative GH20 and GH3 NAGases

The survey of NAGase genes of the M. anisopliae genome, using NagA from A. nidulans and NAG1 and NAG2 from T. atroviride as queries, resulted in the identification of two putative GH20 NAGases, named MaNAG1 (MANI_010908; GenBank accession number KFG80340) and MaNAG2 (MANI_029504; GenBank accession number KFG85702). All other fungal GH20 NAGase sequences and GH20 conserved domain sequences used as queries resulted in alignments with the same two previously detected contigs. Therefore, MaNAG1 and MaNAG2 are most probably the only M. anisopliae putative GH20 NAGases. The GH20 family domain (IPR015883) and the conserved motif of GH20 proteins (H/N-x-G-A/C/G/M-D-E-A/I/L/V) were found in both MaNAG1 and MaNAG2 sequences (Figure S2 (72.5KB, pdf) ). Additionally, the putative GH20 NAGases also exhibited a chitobiase/beta-hexosaminidase N-terminal domain (IPR029018) (Figure 1).

Figure 1. Modular domain structure from M. anisopliae NAGase genes. NAGase genes exhibit specific conserved domains with different compositions. Coding exonic sequences are depicted as boxes (color codes are indicated) and introns as thin lines. Domains were identified using Conserved Database Domain (at NCBI), dbCAN and InterProScan. Signal peptide sequences were predicted using SignalP 4.1. Blank protein regions indicate the absence of characterized domains.

Figure 1

The GH3 domain screening of the M. anisopliae genome allowed the identification of seven positive matches. However, phylogenetic analysis clearly revealed that only two sequences, named MaNAG3 (MANI_122030; GenBank accession number KFG78085) and MaNAG4 [MANI_128875; (Figure S3 (338.3KB, pdf) )] could be putative GH3 NAGases. Furthermore, these sequences exhibit higher similarity with bacterial GH3 NAGases and the RmNag GH3 (Figure S4 (97.3KB, pdf) ). MaNAG3 and MaNAG4 share a conserved domain with GH3 family members (IPR001764) and exhibit the conserved sequence motif of GH3 proteins (K-H-F/I-P-G-H/L-G-x-x-x-x-D-S/T-H) (Figure S4 (97.3KB, pdf) ). Furthermore, MaNAG3 and MaNAG4 sequences present a conserved GH3 C-terminal domain (IPR002772) (Figure 1). The other five putative GH3 proteins (KFG84234, KFG86760, KFG85258, KFG81708, and KFG84481) display higher sequence conservation and are phylogenetic related with fungal β-glucosidases (Figure 2 and Figure S4 (97.3KB, pdf) ), raising the possibility of functional equivalence.

Figure 2. Phylogenetic relationships among GH3 NAGases from filamentous fungi, bacteria and zygomycetes. Putative and characterized fungal GH3 β-glucosidases were included as an outgroup. The phylogenies were obtained using MrBayes 3.2.5 (left side) and PhyML 3.1 (right side). ★: NAGase from the zygomyceteRhizomucor miehei. ●: Nodes with support values below 0.8 were collapsed into polytomies.

Figure 2

All properties of the proposed M. anisopliae putative NAGases are listed in Table 2. Putative GH20 NAGase genes have similar ORF sizes and exhibit no intron conservation between sequences. While MaNAG1 does not show any intron insertions, the MaNAG2 sequence has two intron insertions (Figure 1). The predicted molecular masses for MaNAG1 and MaNAG2 (66.98 kDa and 61.42 kDa, respectively) are similar to other fungal GH20 NAGases, A. nidulans NagA (68 kDa) (Kim et al., 2002), T. atroviride Nag1 (73 kDa) (Brunner et al., 2003) and T. harzianum P1 Nag1 (72 kDa) (Peterbauer et al., 1996).

Table 2. Properties of Metarhizium anisopliae GH20 and GH3 β-N-acetylglucosaminidases.

Identification GH family ORF length (nt) Introns Protein length (aa) Mature protein theoretical kDa Theoretical pI Conserved domain Transmembrane domain Signal peptide GPI or NCS N-glycosylation site Acession number
MaNAG1 GH20 1,863 0 620 66.98 6.07 cl02948 / pfam14845 - + - 4 KFG80340
MaNAG2 GH20 1,862 2 579 61.42 4.85 cd06562 / pfam14845 - + - 4 KFG85702
MaNAG3 GH3 2,730 4 909 98.71 6.25 COG1472 + - - 6 KFG78085
MaNAG4 GH3 1,701 1 566 60.67 5.6 COG1472 - - - 2 MANI_ 128875

(+): presence; (-) absence; pI: isoelectric point; GPI: GPI-anchor sites; NCS: non-classical secretion pathway regions.

The theoretical pI of M. anisopliae GH20 NAGases predicts that they are acidic enzymes, with MaNAG2 exhibiting a more acidic pI than MaNAG1, 4.85 and 6.07, respectively. Both putative GH20 NAGases have the same four N-glycosylation sites. Putative GH3 NAGase genes exhibit different physicochemical properties. MaNAG3 is the largest gene (3,223 bp), containing the highest expected number of introns (4) and theoretical molecular mass (98.71 kDa), with N-glycosylation translational modification signals on six sites. In contrast, MaNAG4 ORF size is 2,057 bp, the theoretical molecular mass is 60.67 kDa and the pI of predicted mature protein is 5.6. The predicted molecular mass of MaNAG4 is similar to most known bacterial GH3 NAGases, as S. thermoviolaceus NagA (60 kDa) (Tsujibo et al., 1998). None of the putative NAGase protein sequences contain GPI-anchoring sites or non-classical secretion pathway prediction signals. Interestingly, both MaNAG1 and MaNAG2 have predicted secretion signal peptides, from which extracellular functions can be inferred. In contrast, putative GH3 NAGases are apparently cytoplasmic enzymes as they do not present any predicted secretion signals.

Phylogeny of putative GH20 NAGases

Twenty-six MaNAG1 and MaNAG2 orthologs were identified in 15 filamentous fungi genomes. Most of them are single copy of each putative GH20 NAGase of M. anisopliae. The conserved motif of GH20 proteins and the highly conserved catalytic residues, aspartic and glutamic acids (D-E), were recognized in all of GH20 orthologs (Figure S1 (278.9KB, pdf) ).

The best-fit evolutionary model for GH20 NAGases was LG+I+G, which was used for the phylogenetic inference. Phylogenetic analyses of GH20 NAGases from M. anisopliae and the other fifteen ascomycetes revealed an early duplication event in GH20 NAGases, resulting in two distinct main clades (Figure 3). MaNAG1 formed a monophyletic group with other entomopathogenic fungi NAGase sequences (Metarhizium robertsii, Metarhizium acridum, Cordyceps militaris and Beauveria bassiana). This cluster also formed a statistically supported clade with species from the Aspergillus genus. In contrast, MaNAG2 exhibits a more diverse evolutionary history, with orthologs present in Trichoderma sp., Fusarium sp, Neurospora sp., and Magnaporthe sp. Interestingly, the present evolutionary analysis revealed that both NAG1 and NAG2 from the mycoparasite T. atroviride, used in the M. anisopliae genome screening, are evolutionarily more related to MaNAG2 (Figure 3).

Figure 3. Phylogenetic relationships among GH20 NAGases from filamentous fungi. The phylogenies were obtained using MrBayes 3.2.5 (left side) and PhyML 3.1 (right side). ▲: Trichoderma NAG1. ★: Trichoderma NAG2.

Figure 3

For the majority of the 15 fungi analyzed, only one ortholog to MaNAG1 and one ortholog to MaNAG2 were detected in each species. Duplication events on a specific lineage resulting in paralogous proteins was only observed for Aspergillus niger, which has two MaNAG1 orthologs, and for Nectria haematococca, N. crassa and Fusarium graminearum, with two MaNAG2 orthologs.

Phylogeny of putative GH3 NAGases

Twenty-three MaNAG3 and MaNAG4 orthologs were identified on the filamentous fungi genomes examined. Conserved sequence motifs of GH3 proteins (K-H-F / I-P-G-H / L-G-x-x-x-x-D-S / T-H) were found in all of them, however, few amino acid residues substitutions were observed (Figure S2 (72.5KB, pdf) ). All 15 filamentous fungi have MaNAG3 orthologs. However, the M. acridum gene ortholog was not included in the phylogenetic analysis, since it was not properly annotated in the M. acridum genome. In turn, only Trichoderma sp., Aspergillus sp., and the entomopathogens C. militaris and B. bassiana have MaNAG4 orthologs.

To better understand GH3 NAGases evolutionary relationships, 10 well described bacterial GH3 NAGases and the characterized GH3 NAGase from the zygomycete R. Miehei (Yang et al., 2014) were added to the phylogenetic analysis (Table 1). Since several GH3 family fungal members with β-glucosidase activity have also been described (Kawaguchi et al., 1996; Krogh et al., 2010; Nakajima et al., 2012; Kudo et al., 2015; Zhao et al., 2015; Colabardini et al., 2016; Pei et al., 2016), the phylogenetic relationships among the fungal, bacterial, and R. miehei GH3 NAGases were inferred including as outgroup putative β-glucosidases from M. anisopliae E6, characterized fungal β-glucosidases and putative β-glucosidases from species described in Table 1. The best-fit evolutionary model for GH3 NAGases was LG+I+G. The evolutionary relationship of all GH3 proteins showed two distinct clades separating fungal and bacterial NAGases from β-glucosidases (Figure 2).

The phylogenetic tree revealed that MaNAG3 and MaNAG4 orthologs formed two distinct clusters (Figure 2). Both MaNAG3 and MaNAG4 grouped to other Metarhizium species, but in contrast with the GH20 NAGases phylogeny, putative GH3 NAGases from Metarhizium sp. are evolutionarily more distant from putative GH3 NAGases of other entomopathogenic fungi (B. bassiana and C. militaris). Additionally, gene duplication of MaNAG3 and MaNAG4 orthologs was not observed.

Bacterial sequences did not form a monophyletic group, but they are basal in relation to fungal NAG3 and NAG4 (Figure 2). The difference between bacterial NAGases apparently is not related to gram-positive or gram-negative structural classification. It was also observed that even bacterial NAGases with high chitinolytic substrate specificity (S. thermoviolaceus NagA, Clostridium paraputrificum NagZ, Alteronomonas sp. HexA, V. furnissii NagZ, Thermotoga maritma NagA and T. neapolitana CbsA) grouped into distinct clades from fungal NAGases. This is probably due to the fact that some bacterial NAGases do not necessarily have GlcNAc hydrolysis specificity over chitooligosaccharides. For example, E. coli NagZ cleaves GlcNAc from muropeptides present in the bacterial cell wall (Cheng et al., 2000). C. fimi Nag3 is also an unusual GH3 NAGase, because it is a β-N-acetylhexosaminidase with a wide range of substrates, hydrolyzing both β-N-acetylglucosaminedes and β-glucosides (Mayer et al., 2006).

Patterns of transcript relative expression of putative NAGases

The expression profile of M. anisopliae putative NAGases was investigated in different cell types under different culture conditions: mycelium grown on glucose 1%, GlcNAc 0.25%, chitin 1% or autolysis conditions; and induced conidia, blastospore and appressorium. The four putative NAGase gene transcripts were detected in all M. anisopliae cell types and culture conditions, validating the annotation of the proposed genes.

To gain information on the regulation of the putative NAGases by substrate, the transcript level of genes from M. anisopliae cultured in MCc medium was established as a reference condition (Figure 4). Interestingly, the expression of MaNAG1, MaNAG2 and MaNAG4 were induced by 1% chitin, albeit at different levels (Figure 4). Notably, MaNAG1 showed the most pronounced expression induction on this carbon source (Figure 4A). Additionally, MaNAG3 was the only MaNAGase induced in cultures with added 0.25% GlcNAc (Figure 4C). When different cellular types were taken into account, MaNAG3 exhibited detectable transcripts in cells forming appressorium, while MaNAG2 was strongly induced in this cell type (Figure 4B). The expression of the four putative NAGases gene showed only basal levels in conidia and blastospores (Figure 4). These results indicate the minor participation of putative GH3 and GH20 in conidia and blastospores.

Figure 4. Relative expression of GH20 and GH3 NAGase genes in M. anisopliae, considering MCc as the reference condition. Transcriptional profiles of GH20 NAGase genes (MaNAG1 and MaNAG2) and GH3 NAGase genes (MaNAG3 and MaNAG4) in seven different conditions (mycelium growth on different carbon source media, autolysis, and different cell types), using tef1α as a reference gene and applying the 2-△△Ct method. A) nag1; B) nag2; C) nag3; D) nag4. Standard error bars are indicated. Different letters indicate statistically significant differences (p < 0.05) among studied conditions.

Figure 4

Discussion

Virulence determinants are the main focus in the study of entomopathogenic fungi (Schrank and Vainstein, 2010). As chitin is present in the exoskeleton of several arthropods, enzymes involved in chitin degradation and assimilation are predicted to play essential roles in host-entomopathogen interactions (Schrank and Vainstein, 2010). While chitinases are widely explored in entomopathogens and several fungal species with diverse pathogenic traits, the role of NAGases in the fungal life cycle and their importance in infection has not been explored. Here, four putative NAGase genes belonging to the GH20 family (MaNAG1 and MaNAG2) and GH3 family (MaNAG3 and MaNAG4) of M. anisopliae genome were analyzed.

St. Leger et al. (1991) purified a secreted NAGase from M. anisopliae by gel-filtration, with a pI of 6.4 and molecular mass of 110-120 kDa. We hypothesize that this M. anisopliae purified enzyme could be the MaNAG1 presented here, based on the predicted pI (6.07) and molecular mass (66.98 kDa) of MaNAG1, likely forming a homodimer. In fact, some fungal GH20 NAGases (Koga et al., 1991; Rylavá et al., 2011) and some bacterial GH3 NAGases (Choi et al., 2009) exhibit a homodimer composition. Nevertheless, the molecular characterization of M. anisopliae putative NAGases will be necessary to determinate if the dimer structure is relevant to enzymatic activity.

Phylogenetic analyses of putative GH20 NAGases revealed the occurrence of at least one duplication event before its divergence in fungi. This early gene duplication is supported by evolutionary analysis of GH20 family from several eukaryotic taxa, reported by Intra et al. (2008). Comparing the evolutionary history of MaNAG1 and MaNAG2, subsequent duplication events resulted in current presence of multiple GH20 NAGase orthologs in ascomycetes. This phenomenon was more frequent in the MaNAG2 than the MaNAG1 cluster, culminating in the presence of MaNAG2 orthologs in a broader spectrum of fungi with different lifestyles. While MaNAG1 has orthologs only in entomopathogens and in the saprophytic/human pathogens Aspergillus sp., MaNAG2 orthologs are present in entomopathogens, mycopathogen species, such as Trichoderma sp., phytopathogens including N. haematococca, Fusarium sp. and M. oryzae, and in saprophytes, such as N. crassa. These species belong to distinct orders, however, a previous study has observed their close evolutionary relationship (Wang et al., 2009). The widespread presence of MaNAG2 orthologs in fungi with diverse lifestyles could represent a common basic function for all these enzymes despite differences in fungal lifestyles, while MaNAG1 would have more specific roles in an entomopathogenic lifestyle.

In our analysis, M. anisopliae and M. robertsii formed a statistically well supported clade, with M. acridum as a basal species, corroborating the phylogeny relationships among these Metarhizium species (Bischoff et al., 2009; Staats et al., 2014). Our results revealed a close evolutionary relationship of GH20 NAGases between the Metarhizium clade and the one formed by Beauveria and Cordyceps genera. The conservation of secreted proteins in fungi has been observed among M. anisopliae and entomopathogens Metarhizium spp., B. bassiana and C. militaris (Staats et al., 2014). Therefore, the evolutionary pattern of GH20 NAGases in entomopathogens is representative of the extremely similar evolutionary pattern of all secreted proteins found in fungi with similar hosts.

The glycoside hydrolases from the CAZy family GH3 display an unusual diversity in structure, specificity, and biological roles (Macdonald et al., 2015). In many cases the enzymes have dual or broad substrate specificities with respect to monosaccharide residues, linkage position and chain length of the substrate. This family harbors members with several activities, most notably β-glucosidases and NAGases (Macdonald et al., 2015). Several fungal β-glucosidases from the GH3 family have been characterized (Kawaguchi et al., 1996; Krogh et al., 2010; Nakajima et al., 2012; Kudo et al., 2015; Zhao et al., 2015; Colabardini et al., 2016; Pei et al., 2016), however the first fungal NAGase from family GH3 was only recently described (RmNag) (Yang et al., 2014).

The first goal of our phylogenetic analyses was to clearly distinguish putative NAGases from putative β-glucosidases. The phylogenetic analysis set apart putative GH3 NAGases from putative GH3 β-glucosidases (Figure 3), suggesting GH3 NAGase activity for MaNAG3 and MaNAG4. Indeed, the characterized RmNag clustered together with MaNAG3 and MaNAG4 with robust support, suggesting the possibility of similar functions of these enzymes (Figure 3). The five other putative GH3 proteins from M. anisopliae (KFG84234, KFG86760, KFG85258, KFG81708, and KFG84481) clustered together with characterized β-glucosidases, again suggesting the possibility of similar function (Figure 2). Additionally, several characterized bacterial GH3 NAGases were more phylogenetically related with MaNAG3, MaNAG4 and RmNag than with the characterized β-glucosidases (Figure 2).

Bacterial NAGases were added to phylogenetic analyses, which show well-established acetyl-chitooligosaccharide degradation activity, and NAGases with other substrate specificities, such as NagZ from E. coli and NAG3 from C. fimi. E. coli NagZ participates in bacteria cell wall recycling by hydrolyzing GlcNAc from muropeptides (Cheng et al., 2000). In turn, C. fimi NAG3 was identified as a bifunctional β-N-acetyl-D-glucosaminidase/β-D-glucosidase (Mayer et al., 2006). It was also reported that C. fimi NAG3 enzyme is actually a GlcNAc-phosphorylase using phosphate rather than water as nucleophile (Macdonald et al., 2015). Macdonald’s study suggests that other GH3 NAGases can harbor GlcNAc-phosphorylase activity. Notably, our GH3 phylogenetic analysis showed that C. fimi NAG3 has a basal position in relation to other bacterial and fungal NAGases with chitin specificity, supporting this suggestion. However, complementary experiments are required to evaluate this putative GlcNAc-phosphorylase activity.

The phylogenetic analysis of putative GH3 NAGases suggests an early acquisition of GH3 NAGases in fungi, indicating that the observed diversity resulted from ancient duplications that occurred after the divergence between bacteria and the fungi GH3 family genes (Figure 3). Fungal orthologs of MaNAG3 and MaNAG4 formed two distinct clades. In relation to the NAG4 clade, MaNAG4 was arranged closer to GH3 NAGases of the mycoparasitic Trichoderma sp. than orthologs of entomopathogenic species C. militaris and B. bassiana. The NAG3 from entomopathogens formed a monophyletic group with Trichoderma species, with MaNAG3 basal to them. It seems that M. anisopliae GH3 NAGases may not have specific roles in entomopathogenic fungal lifestyle. However, at this point, their participation in basal cell processes cannot be ruled out, such as GlcNAc carbon metabolism and cell wall remodeling, both processes necessary to hyphal growth and cell differentiation.

The qPCR assays of putative GH20 and GH3 NAGase genes confirmed that the identified sequences are functional. M. anisopliae putative NAGases showed differential transcript profiles in response to different conditions, indicating an absence of a common gene regulation pattern. These variable expression profiles also suggest they may not have totally redundant roles. M. anisopliae GH20 NAGases, MaNAG1 and MaNAG2, exhibited induced expression patterns when cultured in the presence of 1% chitin. Our results reflect the well-established condition, where chitin induces the expression of secreted chitinolytic enzymes (St. Leger et al., 1991; Seidl, 2008). The presence of a predicted signal peptide for secretion in MaNAG1 and MaNAG2, and their expression induction by chitin reveal their probable role in extracellular chitinolytic activity in M. anisopliae, acting on extracellular cleavage of chitobiose into GlcNAc monomers for the assimilation of this carbon source. Nonetheless, it is important to note that other carbon sources are also able to stimulate, at lower levels, the expression of GH20 NAGases (Seidl et al., 2006).

The expression profile of M. anisopliae putative NAGases in appressorium is noteworthy. MaNAG2 was the most significantly expressed NAGase in appressorium, being highly induced in this cell type. The appressorium is a specialized penetration structure that helps to dissolve the host chitinous exoskeleton. These cells use enzyme secretion and physical pressure to mediate penetration. Therefore, it can be suggested that MaNAG2 is putatively required at early stages of infection, during the penetration stage or to remodel the fungal cell wall in appressorium differentiation.

It was expected that 0.25% GlcNAc would induce M. anisopliae NAGases, because this low concentration of GlcNAc is described as an inducer for chitinolytic genes, and only high monomer concentrations (> 0.5%) would repress expression of chitinolytic enzymes by their own activity products in M. anisopliae (catabolic repression) (Barreto et al., 2004). Similarly, T. atroviride nag1 expression is induced by GlcNAc (Mach et al., 1999). However, the transcript expression analysis showed that M. anisopliae putative GH20 NAGases were not induced by GlcNAc. MaNAG3 was the only putative NAGase induced by 0.25% GlcNAc and the only putative NAGase that was not induced by 1% chitin, suggesting a possible regulatory mechanism for this gene, in which the expression could depend on the prior degradation of chitin to GlcNAc. Furthermore, no transcript induction of any NAGases was observed in blastospores and conidia (Figure 4), which are cellular forms with diminished metabolic activity, although not completely dormant (Novodvorska et al., 2016). In addition, M. anisopliae conidial extracts and immunoproteomic analysis indicate that chitinases may be localized on the conidial surface (Santi et al., 2009, 2010), NAGase activity is probably not necessary in these resting cells. In contrast, blastospores are cell types that facilitate dispersal in host hemolymph during colonization. At this stage, the fungus has already transposed the chitinous exoskeleton and uses trehalose and other carbon sources, not requiring, necessarily, the expression of chitinolytic enzymes (Xia et al., 2002). Nevertheless, it is important to note that the ADAMEK media used to induce blastospores does not fully mimic the arthropod inner body complexity, and GH3 and GH20 NAGase activity may be required in specific steps of blastospore differentiation and infection.

Chitinases and NAGases act consecutively and synergistically to render complete degradation of chitin. This may be the result of common regulation patterns between these two groups of enzymes, as revealed in T. atroviride NAGase studies (Tharanathan and Kittur, 2003). The experimental conditions used in this study for the evaluation of M. anisopliae putative NAGase expression were the same employed for the study of the 21 chitinases from M. anisopliae (Junges et al., 2014). This allowed the comparison of the performance of different genes of the chitinolytic process to propose potential relationships between specific chitinases and NAGases. Junges et al. (2014) described a large group of chitinases induced by chitin: chimaA1, chimaA6, chimaA8, chimaB1, chimaB2, chimaB3, chimaB4, chimaB6, chimaC3. This expression pattern can be associated with MaNAG1, MaNAG2 and MaNAG4 that also displayed increased expression profile in the presence of chitin. Also, those putative NAGases induced by chitin could be followed by chitinase action induced by GlcNAc monomers (chimaD1) (Junges et al., 2014). On media supplemented with the GlcNAc monomer, the MaNAG3 gene showed strong expression when compared to the other M. anisopliae putative NAGases, coinciding with the chimaD1 chitinase pattern. Moreover, in the induced apressorium formation condition, the expression of MaNAG2 could be related to chimaA5 chitinase, since both are overexpressed in this cellular type.

Our results are in agreement to previous suggestions of the presence of GH3 NAGases in fungi (RmNag) (Yang et al., 2014) and in the Hypocreales order (Kappel et al., 2016). In fact, Kappel et al. (2016) have functionally characterized a GH3 gene (named nag3; XP006966911) in T. reesei, the product of which, an MaNAG3 ortholog, holds suggested NAGase activity. The phylogenetic analyses indicate that MaNAG3 and T. reesei NAG3 are phylogenetically related (Figure 2). The existence of more putative NAGase genes argues that the genomic arsenal of NAGases in ascomycetes is not as small as previously thought, attenuating the discrepancy between the number of chitinase and NAGase genes. It is also not possible to rule out the existence of other unknown NAGases in M. anisopliae and other fungal species. In this sense, we have identified a fifth and unexplored putative NAGase gene in M. anisopliae, belonging to the GH84 family. The product of this gene (KFG85933.1) exhibits 63% identity with characterized GH84 from Penicillium chrysogenum (XP_002557703.1). The P. chrysogenum GH84 NAGase not only exhibit activity against GlcNAc substrates, but also hydrolyzes substrates with galacto-configuration and exhibits transglycosylation activity (Slámová et al., 2014).

In conclusion, this study explored relevant evolutionary aspects of putative GH3 and GH20 NAGase genes and the expression analysis highlighted possible functions for these genes in M. anisopliae and entomopathogenic fungi. This analysis will allow the selection of genes for further functional characterization to elucidate the process and to identify redundancies and specificities. The view that chitinase diversity is merely redundant may not correct (Seidl et al., 2005; Tzelepis et al., 2012; Junges et al., 2014). However, the strategy of constructing deleted strains is not always straightforward to determine function (Alcazar-Fuoli et al., 2011). Here, M. anispoliae putative GH20 NAGase genes revealed induced transcript production in the presence of chitin, potentially in the extracellular milieu. The detection of MaNAG3 and MaNAG4 putative genes is the first evidence for the presence of a possible GH3 family of NAGases in entomopathogenic fungi. MaNAG3 and MaNAG4 expression is responsive to chitinous substrates, suggesting their potential influence on cell differentiation during the M. anisopliae life cycle.

Acknowledgments

This study was supported by grants and fellowships from CNPq, CAPES and FAPERGS.

Supplementary material

The following online material is available for this article:

Table S1 - . Primer sequences.
Figure S1 - . Major Metarhizium anisopliae cell types involved in the cycle of infection.
Figure S2 - . Multiple alignment of GH20 NAGases from filamentous fungi.
Figure S3 - . MaNAG4 nucleotide and amino acid sequence.
Figure S4 - . Multiple alignment of GH3 NAGases from bacteria, zygomycetes, filamentous fungi, and M. anisopliae β-glucosidases.

Footnotes

Associate Editor: Carlos F. M. Menck

References

  1. Adamek L. Submerse cultivation of the fungus Metarhizium anisopliae (Metsch.) Folia Microbiol (Praha) 1965;10:255–257. doi: 10.1007/BF02875956. [DOI] [PubMed] [Google Scholar]
  2. Alcazar-Fuoli L, Clavaud C, Lamarre C, Aimanianda V, Seidl-Seiboth V, Mellado E, Latgé JP. Functional analysis of the fungal/plant class chitinase family in Aspergillus fumigatus . Fungal Genet Biol. 2011;48:418–429. doi: 10.1016/j.fgb.2010.12.007. [DOI] [PubMed] [Google Scholar]
  3. Andersen CL, Jensen JL, Ørntoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004;64:5245–5250. doi: 10.1158/0008-5472.CAN-04-0496. [DOI] [PubMed] [Google Scholar]
  4. Anisimova M, Gascuel O. Approximate likelihood-ratio test for branches: A Fast, accurate, and powerful alternative. Syst Biol. 2006;55:539–552. doi: 10.1080/10635150600755453. [DOI] [PubMed] [Google Scholar]
  5. Anisimova M, Gil M, Dufayard JF, Dessimoz C, Gascuel O. Survey of branch support methods demonstrates accuracy, power, and robustness of fast likelihood-based approximation schemes. Syst Biol. 2011;60:685–699. doi: 10.1093/sysbio/syr041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Balcewich MD, Stubbs KA, He Y, James TW, Davies GJ, Vocadlo DJ, Mark BL. Insight into a strategy for attenuating AmpC-mediated beta-lactam resistance: structural basis for selective inhibition of the glycoside hydrolase NagZ. Protein Sci. 2009;18:1541–51. doi: 10.1002/pro.137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Barreto CC, Staats CC, Schrank A, Vainstein MH. Distribution of chitinases in the entomopathogen metarhizium anisopliae and effect of N-acetylglucosamine in protein secretion. Curr Microbiol. 2004;48:102–107. doi: 10.1007/s00284-003-4063-z. [DOI] [PubMed] [Google Scholar]
  8. Beier S, Bertilsson S. Bacterial chitin degradation – mechanisms and ecophysiological strategies. Front Microbiol. 2013;4:149. doi: 10.3389/fmicb.2013.00149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bendtsen JD, Jensen LJ, Blom N, Von Heijne G, Brunak S. Feature-based prediction of non-classical and leaderless protein secretion. Protein Eng Des Sel. 2004;17:349–56. doi: 10.1093/protein/gzh037. [DOI] [PubMed] [Google Scholar]
  10. Bischoff JF, Rehner SA, Humber RA. A multilocus phylogeny of the Metarhizium anisopliae lineage. Mycologia. 2009;101:512–530. doi: 10.3852/07-202. [DOI] [PubMed] [Google Scholar]
  11. Bjellqvist B, Hughes GJ, Pasquali C, Paquet N, Ravier F, Sanchez JC, Frutiger S, Hochstrasser D. The focusing positions of polypeptides in immobilized pH gradients can be predicted from their amino acid sequences. Electrophoresis. 1993;14:1023–31. doi: 10.1002/elps.11501401163. [DOI] [PubMed] [Google Scholar]
  12. Bjellqvist B, Basse B, Olsen E, Celis JE. Reference points for comparisons of two-dimensional maps of proteins from different human cell types defined in a pH scale where isoelectric points correlate with polypeptide compositions. Electrophoresis. 1994;15:529–39. doi: 10.1002/elps.1150150171. [DOI] [PubMed] [Google Scholar]
  13. Boldo JT, Junges A, Amaral KB, Staats CC, Vainstein MH, Schrank A. Endochitinase CHI2 of the biocontrol fungus Metarhizium anisopliae affects its virulence toward the cotton stainer bug Dysdercus peruvianus . Curr Genet. 2009;55:551–60. doi: 10.1007/s00294-009-0267-5. [DOI] [PubMed] [Google Scholar]
  14. Brunner K, Peterbauer CK, Mach RL, Lorito M, Zeilinger S, Kubicek CP. The Nag1 N-acetylglucosaminidase of Trichoderma atroviride is essential for chitinase induction by chitin and of major relevance to biocontrol. Curr Genet. 2003;43:289–295. doi: 10.1007/s00294-003-0399-y. [DOI] [PubMed] [Google Scholar]
  15. Brzezinska MS, Jankiewicz U, Burkowska A, Walczak M. Chitinolytic microorganisms and their possible application in environmental protection. Curr Microbiol. 2014;68:71–81. doi: 10.1007/s00284-013-0440-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Cantarel BL, Coutinho PM, Rancurel C, Bernard T, Lombard V, Henrissat B. The Carbohydrate-Active EnZymes database (CAZy): An expert resource for glycogenomics. Nucleic Acids Res. 2009;37:D233–8. doi: 10.1093/nar/gkn663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Chauhan JS, Rao A, Raghava GPS. In silico platform for prediction of N-, O- and C-glycosites in eukaryotic protein sequences. PLoS One. 2013;8:e67008. doi: 10.1371/journal.pone.0067008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Chavan SB, Deshpande MV. Chitinolytic enzymes: An appraisal as a product of commercial potential. Biotechnol Prog. 2013;29:833–846. doi: 10.1002/btpr.1732. [DOI] [PubMed] [Google Scholar]
  19. Cheng Q, Li H, Merdek K, Park JT. Molecular characterization of the beta-N-acetylglucosaminidase of Escherichia coli and its role in cell wall recycling. J Bacteriol. 2000;182:4836–40. doi: 10.1128/jb.182.17.4836-4840.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Chitlaru E, Roseman S. Molecular cloning and characterization of a novel beta-N-acetyl-D-glucosaminidase from Vibrio furnissii . J Biol Chem. 1996;271:33433–9. doi: 10.1074/jbc.271.52.33433. [DOI] [PubMed] [Google Scholar]
  21. Choi KH, Seo JY, Park KM, Park CS, Cha J. Characterization of glycosyl hydrolase family 3 β-N-acetylglucosaminidases from Thermotoga maritima and Thermotoga neapolitana . J Biosci Bioeng. 2009;108:455–459. doi: 10.1016/j.jbiosc.2009.06.003. [DOI] [PubMed] [Google Scholar]
  22. Colabardini AC, Valkonen M, Huuskonen A, Siika-aho M, Koivula A, Goldman GH, Saloheimo M. Expression of two novel β -glucosidases from Chaetomium atrobrunneum in Trichoderma reesei and characterization of the heterologous protein products. Mol Biotechnol. 2016;58:821–831. doi: 10.1007/s12033-016-9981-7. [DOI] [PubMed] [Google Scholar]
  23. Coleman JJ, Rounsley SD, Rodriguez-Carres M, Kuo A, Wasmann CC, Grimwood J, Schmutz J, Taga M, White GJ, Zhou S, et al. The genome of Nectria haematococca: contribution of supernumerary chromosomes to gene expansion. PLoS Genet. 2009;5:e1000618. doi: 10.1371/journal.pgen.1000618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Cuomo CA, Güldener U, Xu JR, Trail F, Turgeon BG, Di Pietro A, Walton JD, Ma LJ, Baker SE, Rep M, et al. The Fusarium graminearum genome reveals a link between localized polymorphism and pathogen specialization. Science. 2007;317:1400–2. doi: 10.1126/science.1143708. [DOI] [PubMed] [Google Scholar]
  25. da Silva MV, Santi L, Staats CC, da Costa AM, Colodel EM, Driemeier D, Vainstein MH, Schrank A. Cuticle-induced endo/exoacting chitinase CHIT30 from Metarhizium anisopliae is encoded by an ortholog of the chi3 gene. Res Microbiol. 2005;156:382–392. doi: 10.1016/j.resmic.2004.10.013. [DOI] [PubMed] [Google Scholar]
  26. Darriba D, Taboada GL, Doallo R, Posada D. Europe PMC Funders Group ProtTest 3: Fast selection of best-fit models of protein evolution. Bioinformatics. 2011;27:1164–1165. doi: 10.1093/bioinformatics/btr088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Dean RA, Talbot NJ, Ebbole DJ, Farman ML, Mitchell TK, Orbach MJ, Thon M, Kulkarni R, Xu JR, Pan H, et al. The genome sequence of the rice blast fungus Magnaporthe grisea . Nature. 2005;434:980–6. doi: 10.1038/nature03449. [DOI] [PubMed] [Google Scholar]
  28. Díez B, Rodríguez-Sáiz M, De La Fuente JL, Moreno MÁ, Barredo JL. The nagA gene of Penicillium chrysogenum encoding β-N- acetylglucosaminidase. FEMS Microbiol Lett. 2005;242:257–264. doi: 10.1016/j.femsle.2004.11.017. [DOI] [PubMed] [Google Scholar]
  29. Duo-Chuan L. Review of fungal chitinases. Mycopathologia. 2006;161:345–60. doi: 10.1007/s11046-006-0024-y. [DOI] [PubMed] [Google Scholar]
  30. Eisenhaber B, Schneider G, Wildpaner M, Eisenhaber F. A sensitive predictor for potential GPI lipid modification sites in fungal protein sequences and its application to genome-wide studies for Aspergillus nidulans, Candida albicans, Neurospora crassa, Saccharomyces cerevisiae and Schizosaccharomyces pombe . J Mol Biol. 2004;337:243–53. doi: 10.1016/j.jmb.2004.01.025. [DOI] [PubMed] [Google Scholar]
  31. Galagan JE, Calvo SE, Borkovich KA, Selker EU, Read ND, Jaffe D, FitzHugh W, Ma LJ, Smirnov S, Purcell S, et al. The genome sequence of the filamentous fungus Neurospora crassa . Nature. 2003;422:859–68. doi: 10.1038/nature01554. [DOI] [PubMed] [Google Scholar]
  32. Galagan JE, Calvo SE, Cuomo C, Ma LJ, Wortman JR, Batzoglou S, Lee SI, Bastürkmen M, Spevak CC, Clutterbuck J, et al. Sequencing of Aspergillus nidulans and comparative analysis with A. fumigatus and A. oryzae . Nature. 2005;438:1105–15. doi: 10.1038/nature04341. [DOI] [PubMed] [Google Scholar]
  33. Gao Q, Jin K, Ying SH, Zhang Y, Xiao G, Shang Y, Duan Z, Hu X, Xie XQ, Zhou G, et al. Genome sequencing and comparative transcriptomics of the model entomopathogenic fungi Metarhizium anisopliae and M. acridum . PLoS Genet. 2011;7:e1001264. doi: 10.1371/journal.pgen.1001264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies: Assessing the performance of PhyML 3.0. Syst Biol. 2010;59:307–321. doi: 10.1093/sysbio/syq010. [DOI] [PubMed] [Google Scholar]
  35. Guo L, Han L, Yang L, Zeng H, Fan D, Zhu Y, Feng Y, Wang G, Peng C, Jiang X, et al. Genome and transcriptome analysis of the fungal pathogen Fusarium oxysporum f. sp. cubense causing banana vascular wilt disease. PLoS One. 2014;9:e95543. doi: 10.1371/journal.pone.0095543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Hall TA. BioEdit: A user-friendly biological sequence aligment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser. 1999;41:95–98. [Google Scholar]
  37. Hartl L, Zach S, Seidl-Seiboth V. Fungal chitinases: Diversity, mechanistic properties and biotechnological potential. Appl Microbiol Biotechnol. 2012;93:533–543. doi: 10.1007/s00253-011-3723-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Hu X, Xiao G, Zheng P, Shang Y, Su Y, Zhang X, Liu X, Zhan S, St Leger RJ, Wang C. Trajectory and genomic determinants of fungal-pathogen speciation and host adaptation. Proc Natl Acad Sci U S A. 2014;111:16796–801. doi: 10.1073/pnas.1412662111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Intra J, Pavesi G, Horner DS. Phylogenetic analyses suggest multiple changes of substrate specificity within the glycosyl hydrolase 20 family. BMC Evol Biol. 2008;8:214. doi: 10.1186/1471-2148-8-214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Junges Â, Boldo JT, Souza BK, Guedes RLM, Sbaraini N, Kmetzsch L, Thompson CE, Staats CC, Almeida LGP, Vasconcelos ATR, et al. Genomic analyses and transcriptional profiles of the glycoside hydrolase family 18 genes of the entomopathogenic fungus Metarhizium anisopliae . PLoS One. 2014;9:e107864. doi: 10.1371/journal.pone.0107864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Kappel L, Gaderer R, Flipphi M, Seidl-Seiboth V. The N-acetylglucosamine catabolic gene cluster in Trichoderma reesei is controlled by the Ndt80-like transcription factor RON1. Mol Microbiol. 2016;99:640–657. doi: 10.1111/mmi.13256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Kawaguchi T, Enoki T, Tsurumakia S, Ooib T, Arai M. Cloning and sequencing of the cDNA encoding β-glucosidase 1 from Aspergillus aculeatus . Gene. 1996;173:287–288. doi: 10.1016/0378-1119(96)00179-5. [DOI] [PubMed] [Google Scholar]
  43. Kim S, Matsuo I, Ajisaka K, Nakajima H, Kitamoto K. Cloning and characterization of the nagA gene that encodes beta-n-acetylglucosaminidase from Aspergillus nidulans and its expression in Aspergillus oryzae . Biosci Biotechnol Biochem. 2002;66:2168–2175. doi: 10.1271/bbb.66.2168. [DOI] [PubMed] [Google Scholar]
  44. Koga K, Iwamoto Y, Sakamoto H, Hatano K, Sano M, Kato I. Purification and characterization of β-N-Acetylhexosaminidase from Trichoderma harzianum . Agric Biol Chem. 1991;55:2817–2823. [PubMed] [Google Scholar]
  45. Krogh A, Larsson B, von Heijne G, Sonnhammer EL. Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes. J Mol Biol. 2001;305:567–80. doi: 10.1006/jmbi.2000.4315. [DOI] [PubMed] [Google Scholar]
  46. Krogh KBRM, Harris PV, Olsen CL, Johansen KS, Hojer-pedersen J, Borjesson J, Olsson L. Characterization and kinetic analysis of a thermostable GH3 β -glucosidase from Penicillium brasilianum . Appl Microbiol Biotechnol. 2010;86:143–154. doi: 10.1007/s00253-009-2181-7. [DOI] [PubMed] [Google Scholar]
  47. Kubicek CP, Herrera-Estrella A, Seidl-Seiboth V, Martinez DA, Druzhinina IS, Thon M, Zeilinger S, Casas-Flores S, Horwitz BA, Mukherjee PK, et al. Comparative genome sequence analysis underscores mycoparasitism as the ancestral life style of Trichoderma . Genome Biol. 2011;12:R40. doi: 10.1186/gb-2011-12-4-r40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Kudo K, Watanabe A, Ujiie S, Shintani T, Gomi K. Purification and enzymatic characterization of secretory glycoside hydrolase family 3 (GH3) aryl β-glucosidases screened from Aspergillus oryzae genome. J Biosci Bioeng. 2015;120:614–623. doi: 10.1016/j.jbiosc.2015.03.019. [DOI] [PubMed] [Google Scholar]
  49. Langner T, Göhre V. Fungal chitinases: Function, regulation, and potential roles in plant/pathogen interactions. Curr Genet. 2015;62:243–254. doi: 10.1007/s00294-015-0530-x. [DOI] [PubMed] [Google Scholar]
  50. Li H, Morimoto K, Katagiri N, Kimura T, Sakka K, Lun S, Ohmiya K. A novel β-N-acetylglucosaminidase of Clostridium paraputrificum M-21 with high activity on chitobiose. Appl Microbiol Biotechnol. 2003;60:420–427. doi: 10.1007/s00253-002-1129-y. [DOI] [PubMed] [Google Scholar]
  51. Liu H, Haga K, Yasumoto K, Ohashi Y, Yoshikawa H, Takahashi H. Sequence and analysis of a 31 kb segment of the Bacillus subtilis chromosome in the area of the rrnH and rrnG operons. Microbiology. 1997;143:2763–7. doi: 10.1099/00221287-143-8-2763. [DOI] [PubMed] [Google Scholar]
  52. Liu T, Yan J, Yang Q. Comparative biochemistry of GH3, GH20 and GH84 β-N-acetyl-D-hexosaminidases and recent progress in selective inhibitor discovery. Curr Drug Targets. 2012;13:512–525. doi: 10.2174/138945012799499730. [DOI] [PubMed] [Google Scholar]
  53. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
  54. López-Mondéjar R, Catalano V, Kubicek CP, Seidl V. The β-N-acetylglucosaminidases NAG1 and NAG2 are essential for growth of Trichoderma atroviride on chitin. FEBS J. 2009;276:5137–5148. doi: 10.1111/j.1742-4658.2009.07211.x. [DOI] [PubMed] [Google Scholar]
  55. Löytynoja A, Goldman N. webPRANK: A phylogeny-aware multiple sequence aligner with interactive alignment browser. BMC Bioinformatics. 2010;11:579. doi: 10.1186/1471-2105-11-579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Macdonald SS, Blaukopf M, Withers SG. N-acetylglucosaminidases from CAZy family GH3 are really glycoside phosphorylases, thereby explaining their use of histidine as an acid/base catalyst in place of glutamic acid. J Biol Chem. 2015;290:4887–4895. doi: 10.1074/jbc.M114.621110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Mach RL, Peterbauer CK, Payer K, Jaksits S, Woo SL, Zeilinger S, Kullnig CM, Lorito M, Kubicek CP. Expression of two major chitinase genes of Trichoderma atroviride (T. harzianum P1) is triggered by different regulatory signals. Applied and Environmental Microbiology. 1999;65:1858–63. doi: 10.1128/aem.65.5.1858-1863.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Marchler-Bauer A, Anderson JB, Chitsaz F, Derbyshire MK, DeWeese-Scott C, Fong JH, Geer LY, Geer RC, Gonzales NR, Gwadz M, et al. CDD: Specific functional annotation with the Conserved Domain Database. Nucleic Acids Res. 2009;37:D205–10. doi: 10.1093/nar/gkn845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Martinez D, Berka RM, Henrissat B, Saloheimo M, Arvas M, Baker SE, Chapman J, Chertkov O, Coutinho PM, Cullen D, et al. Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina) Nat Biotechnol. 2008;26:553–60. doi: 10.1038/nbt1403. [DOI] [PubMed] [Google Scholar]
  60. Mayer C, Vocadlo DJ, Mah M, Rupitz K, Stoll D, Warren R AJ, Withers SG. Characterization of a beta-N-acetylhexosaminidase and a beta-N-acetylglucosaminidase/beta-glucosidase from Cellulomonas fimi . FEBS J. 2006;273:2929–2941. doi: 10.1111/j.1742-4658.2006.05308.x. [DOI] [PubMed] [Google Scholar]
  61. Nakajima M, Yamashita T, Takahashi M, Nakano Y, Takeda T. Identification, cloning, and characterization of β -glucosidase from Ustilago esculenta . Appl Microbiol Biotechnol. 2012;93:1989–1998. doi: 10.1007/s00253-011-3538-2. [DOI] [PubMed] [Google Scholar]
  62. Nierman WC, Pain A, Anderson MJ, Wortman JR, Kim HS, Arroyo J, Berriman M, Abe K, Archer DB, Bermejo C, et al. Genomic sequence of the pathogenic and allergenic filamentous fungus Aspergillus fumigatus . Nature. 2005;438:1151–6. doi: 10.1038/nature04332. [DOI] [PubMed] [Google Scholar]
  63. Novodvorska M, Stratford M, Blythe MJ, Wilson R, Beniston RG, Archera DB. Metabolic activity in dormant conidia of Aspergillus niger and developmental changes during conidial outgrowth. Fungal Genet Biol. 2016;94:23–31. doi: 10.1016/j.fgb.2016.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Patil RS, Ghormade V, Deshpande MV. Chitinolytic enzymes: An exploration. Enzyme Microb Technol. 2000;26:473–483. doi: 10.1016/s0141-0229(00)00134-4. [DOI] [PubMed] [Google Scholar]
  65. Pei X, Zhao J, Cai P, Sun W, Ren J, Wu Q, Zhang S, Tian C. Heterologous expression of a GH3 β-glucosidase from Neurospora crassa in Pichia pastoris with high purity and its application in the hydrolysis of soybean isoflavone glycosides. Protein Expr Purif. 2016;119:75–84. doi: 10.1016/j.pep.2015.11.010. [DOI] [PubMed] [Google Scholar]
  66. Pel HJ, de Winde JH, Archer DB, Dyer PS, Hofmann G, Schaap PJ, Turner G, de Vries RP, Albang R, Albermann K, et al. Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88. Nat Biotechnol. 2007;25:221–31. doi: 10.1038/nbt1282. [DOI] [PubMed] [Google Scholar]
  67. Peterbauer CK, Lorito M, Hayes CK, Harman GE, Kubicek CP. Molecular cloning and expression of the nag1 gene (N-acetyl-beta-D-glucosaminidase-encoding gene) from Trichoderma harzianum P1. Curr Genet. 1996;30:325–331. doi: 10.1007/s002940050140. [DOI] [PubMed] [Google Scholar]
  68. Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: Discriminating signal peptides from transmembrane regions. Nat Methods. 2011;8:785–6. doi: 10.1038/nmeth.1701. [DOI] [PubMed] [Google Scholar]
  69. Pinto ADS, Barreto CC, Schrank A, Ulhoa CJ, Vainstein MH. Purification and characterization of an extracellular chitinase from the entomopathogen Metarhizium anisopliae . Can J Microbiol. 1997;43:322–327. [Google Scholar]
  70. Rast DM, Horsch M, Furter R, Gooday GW. A complex chitinolytic system in exponentially growing mycelium of Mucor rouxii: Properties and function. J Gen Microbiol. 1991;137:2797–810. doi: 10.1099/00221287-137-12-2797. [DOI] [PubMed] [Google Scholar]
  71. Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012;61:539–542. doi: 10.1093/sysbio/sys029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Rylavá H, Kalendová A, Doubnerová V, Skocdopol P, Kumar V, Kukacka Z, Pompach P, Vanek O, Slámová K, Bojarová P, et al. Enzymatic characterization and molecular modeling of an evolutionarily interesting fungal β-N-acetylhexosaminidase. FEBS J. 2011;278:2469–2484. doi: 10.1111/j.1742-4658.2011.08173.x. [DOI] [PubMed] [Google Scholar]
  73. Santi L, Silva WOB, Pinto AFM, Schrank A, Vainstein MH. Differential immunoproteomics enables identification of Metarhizium anisopliae proteins related to Rhipicephalus microplus infection. Res Microbiol. 2009;160:824–828. doi: 10.1016/j.resmic.2009.09.012. [DOI] [PubMed] [Google Scholar]
  74. Santi L, Beys da Silva WO, Berger M, Guimarães JA, Schrank A, Vainstein MH. Conidial surface proteins of Metarhizium anisopliae: Source of activities related with toxic effects, host penetration and pathogenesis. Toxicon. 2010;55:874–880. doi: 10.1016/j.toxicon.2009.12.012. [DOI] [PubMed] [Google Scholar]
  75. Schrank A, Vainstein MH. Metarhizium anisopliae enzymes and toxins. Toxicon. 2010;56:1267–74. doi: 10.1016/j.toxicon.2010.03.008. [DOI] [PubMed] [Google Scholar]
  76. Seidl V. Chitinases of filamentous fungi: A large group of diverse proteins with multiple physiological functions. Fungal Biol Rev. 2008;22:36–42. [Google Scholar]
  77. Seidl V, Huemer B, Seiboth B, Kubicek CP. A complete survey of Trichoderma chitinases reveals three distinct subgroups of family 18 chitinases. FEBS J. 2005;272:5923–5939. doi: 10.1111/j.1742-4658.2005.04994.x. [DOI] [PubMed] [Google Scholar]
  78. Seidl V, Druzhinina IS, Kubicek CP. A screening system for carbon sources enhancing β-N-acetylglucosaminidase formation in Hypocrea atroviridis (Trichoderma atroviride) Microbiology. 2006;152:2003–2012. doi: 10.1099/mic.0.28897-0. [DOI] [PubMed] [Google Scholar]
  79. Sela I, Ashkenazy H, Katoh K, Pupko T. GUIDANCE2: Accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters. Nucleic Acids Res. 2015;43:W7–14. doi: 10.1093/nar/gkv318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Slámová K, Bojarová P, Petrásková L, Kren V. B-N-Acetylhexosaminidase: What’s in a name...? Biotechnol Adv. 2010;28:682–693. doi: 10.1016/j.biotechadv.2010.04.004. [DOI] [PubMed] [Google Scholar]
  81. Slámová K, Kulik N, Fiala M, Krejzová-Hofmeisterová J, Ettrich R, Kren V. Expression, characterization and homology modeling of a novel eukaryotic GH84 β-N-acetylglucosaminidase from Penicillium chrysogenum . Protein Expr Purif. 2014;95:204–210. doi: 10.1016/j.pep.2014.01.002. [DOI] [PubMed] [Google Scholar]
  82. St. Leger RJ, Cooper RM, Charnley AK. Characterization of chitinase and chitobiase produced by the entomopathogenic fungus Metarhizium anisopliae . J Invertebr Pathol. 1991;58:415–426. [Google Scholar]
  83. Staats CC, Kmetzsch L, Lubeck I, Junges A, Vainstein MH, Schrank A. Metarhizium anisopliae chitinase CHIT30 is involved in heat-shock stress and contributes to virulence against Dysdercus peruvianus. Fungal Biol. 2013;117:137–44. doi: 10.1016/j.funbio.2012.12.006. [DOI] [PubMed] [Google Scholar]
  84. Staats CC, Junges A, Guedes RLM, Thompson CE, Morais GL, Boldo JT, Almeida LGP, Andreis FC, Gerber AL, Sbaraini N, et al. Comparative genome analysis of entomopathogenic fungi reveals a complex set of secreted proteins. BMC Genomics. 2014;15:822. doi: 10.1186/1471-2164-15-822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Stubbs KA, Balcewich M, Mark BL, Vocadlo DJ. Small molecule inhibitors of a glycoside hydrolase attenuate inducible AmpC-mediated beta-lactam resistance. J Biol Chem. 2007;282:21382–91. doi: 10.1074/jbc.M700084200. [DOI] [PubMed] [Google Scholar]
  86. Tharanathan RN, Kittur FS. Chitin:The undisputed biomolecule of great potential. Crit Rev Food Sci Nutr. 2003;43:61–87. doi: 10.1080/10408690390826455. [DOI] [PubMed] [Google Scholar]
  87. Thorat L, Oulkar D, Banerjee K, Gaikwad SM, Nath BB. High-throughput mass spectrometry analysis revealed a role for glucosamine in potentiating recovery following desiccation stress in Chironomus . Sci Rep. 2017;7:3659. doi: 10.1038/s41598-017-03572-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Tsujibo H, Fujimoto K, Tanno H, Miyamoto K, Imada C, Okami Y, Inamori Y. Gene sequence, purification and characterization of N-acetyl-beta-glucosaminidase from a marine bacterium, Alteromonas sp. strain O-7. Gene. 1994;146:111–5. doi: 10.1016/0378-1119(94)90843-5. [DOI] [PubMed] [Google Scholar]
  89. Tsujibo H, Hatano N, Mikami T. A novel β-N-Acetylglucosaminidase from Streptomyces thermoviolaceus OPC-520: gene cloning, expression, and assignment to family 3 of the glycosyl hydrolases. Appl Environ Microbiol. 1998;64:2920–2924. doi: 10.1128/aem.64.8.2920-2924.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Tzelepis GD, Melin P, Jensen DF, Stenlid J, Karlsson M. Functional analysis of glycoside hydrolase family 18 and 20 genes in Neurospora crassa . Fungal Genet Biol. 2012;49:717–30. doi: 10.1016/j.fgb.2012.06.013. [DOI] [PubMed] [Google Scholar]
  91. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3:research0034. doi: 10.1186/gb-2002-3-7-research0034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Wang H, Xu Z, Gao L, Hao B. A fungal phylogeny based on 82 complete genomes using the composition vector method. BMC Evol Biol. 2009;9:1–13. doi: 10.1186/1471-2148-9-195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Wortman JR, Gilsenan JM, Joardar V, Deegan J, Clutterbuck J, Andersen MR, Archer D, Bencina M, Braus G, Coutinho P, et al. The 2008 update of the Aspergillus nidulans genome annotation: a community effort. Fungal Genet Biol 46 Suppl. 2009;1:S2–13. doi: 10.1016/j.fgb.2008.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Xia Y, Clarkson J, Charnley A. Trehalose-hydrolysing enzymes of Metarhizium anisopliae and their role in pathogenesis of the tobacco hornworm, Manduca sexta . J Invertebr Pathol. 2002;80:139–147. doi: 10.1016/s0022-2011(02)00105-2. [DOI] [PubMed] [Google Scholar]
  95. Xiao G, Ying SH, Zheng P, Wang ZL, Zhang S, Xie XQ, Shang Y, St. Leger RJ, Zhao GP, Wang C, et al. Genomic perspectives on the evolution of fungal entomopathogenicity in Beauveria bassiana . Sci Rep. 2012;2:483. doi: 10.1038/srep00483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Yang S, Song S, Yan Q, Fu X, Jiang Z, Yang X. Biochemical characterization of the first fungal glycoside hydrolyase family 3 β-N-acetylglucosaminidase from Rhizomucor miehei . J Agric Food Chem. 2014;62:5181–90. doi: 10.1021/jf500912b. [DOI] [PubMed] [Google Scholar]
  97. Yin Y, Mao X, Yang J, Chen X, Mao F, Xu Y. dbCAN: A web resource for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 2012;40:W445–51. doi: 10.1093/nar/gks479. [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Zdobnov EM, Apweiler R. InterProScan - an integration platform for the signature-recognition methods in InterPro. Bioinformatics. 2001;17:847–8. doi: 10.1093/bioinformatics/17.9.847. [DOI] [PubMed] [Google Scholar]
  99. Zhao J, Guo C, Tian C, Ma Y. Heterologous expression and characterization of a GH3 β -glucosidase from thermophilic fungi Myceliophthora thermophila in Pichia pastoris . Appl Biochem Biotechnol. 2015;177:511–527. doi: 10.1007/s12010-015-1759-z. [DOI] [PubMed] [Google Scholar]
  100. Zheng P, Xia Y, Xiao G, Xiong C, Hu X, Zhang S, Zheng H, Huang Y, Zhou Y, Wang S, et al. Genome sequence of the insect pathogenic fungus Cordyceps militaris, a valued traditional chinese medicine. Genome Biol. 2011;12:R116. doi: 10.1186/gb-2011-12-11-r116. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1 - . Primer sequences.
Figure S1 - . Major Metarhizium anisopliae cell types involved in the cycle of infection.
Figure S2 - . Multiple alignment of GH20 NAGases from filamentous fungi.
Figure S3 - . MaNAG4 nucleotide and amino acid sequence.
Figure S4 - . Multiple alignment of GH3 NAGases from bacteria, zygomycetes, filamentous fungi, and M. anisopliae β-glucosidases.

Articles from Genetics and Molecular Biology are provided here courtesy of Sociedade Brasileira de Genética

RESOURCES