Literature DB >> 22924408

Novel traits of Trichoderma predicted through the analysis of its secretome.

Irina S Druzhinina1, Ekaterina Shelest, Christian P Kubicek.   

Abstract

Mycotrophic species of Trichoderma are among the most common fungi isolated from free soil, dead wood and as parasites on sporocarps of other fungi (mycoparasites). In addition, they undergo various other biotrophic associations ranging from rhizosphere colonization and endophytism up to facultative pathogenesis on such animals as roundworms and humans. Together with occurrence on a variety of less common substrata (marine invertebrates, artificial materials, indoor habitats), these lifestyles illustrate a wealthy opportunistic potential of the fungus. One tropical species, Trichoderma reesei, has become a prominent producer of cellulases and hemicellulases, whereas several other species are applied in agriculture for the biological control of phytopathogenic fungi. The sequencing of the complete genomes of the three species (T. reesei, T. virens, and T. atroviride) has led to a deepened understanding of Trichoderma lifestyle and its molecular physiology. In this review, we present the in silico predicted secretome of Trichoderma, and - in addition to the unique features of carbohydrate active enzymes - demonstrate the importance of such protein families as proteases, oxidative enzymes, and small cysteine-rich proteins, all of that received little attention in Trichoderma genetics so far. We also discuss the link between Trichoderma secretome and biology of the fungus.
© 2012 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

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Year:  2012        PMID: 22924408      PMCID: PMC3533174          DOI: 10.1111/j.1574-6968.2012.02665.x

Source DB:  PubMed          Journal:  FEMS Microbiol Lett        ISSN: 0378-1097            Impact factor:   2.742


Introduction

Trichoderma1 (teleomorph Hypocrea, Ascomycota, Dikarya) species are among the most common fungi frequently isolated as saprotrophs from free soil, soil litter, dead wood and rhizhosphere. Most of Trichoderma species are mycotrophs as they grow on the mature sporophores of other fungi (necrotrophic mycoparasitism), yet some (e.g., H. jecorina/T. reesei) are also found on decaying wood, often in close proximity to other fungi (Druzhinina ). In addition, they are found on a panopticon of other substrata, including xenobiotically infested soil, kerosene tanks in aircrafts, and indoor building walls (Klein ). Finally, Trichoderma spp. undergo various biotrophic associations ranging from rhizosphere colonization and endophytism up to facultative pathogenesis on such animals as roundworms and humans (Druzhinina ). This multitude of ecological niches illustrates the successful strategies for environmental opportunism and competition for habitats. Two of these properties have brought Trichoderma into a broad interest: first, a single available wild-type strain of T. reesei has become the progenitor of a multitude of mutants that are contemporarily used in biotechnological industry for the production of cellulases and hemicellulases that are applied for food and feed, textile, and particularly for biofuel production (Kubicek, 2012a). Second, the ability to antagonize, parasitize on or even kill other fungi has initially been the reason for exploitation of some species (especially T. harzianum sensu lato, T. atroviride (H. atroviridis), T. virens (H. virens), T. asperellum, and T. asperelloides) for the biological control (biocontrol) of phytopathogenic fungi in the field (Harman ). The more recent discovery that some of these fungi can also establish themselves in rhizosphere, stimulate plant growth, and elicit plant defense reactions led to an additional boost in research on the application of Trichoderma as biofertilizer (Harman, 2011). All the above-mentioned ecological traits of Trichoderma require, among others, the secretion of proteins for breaking down the polymeric organic molecules into a form that can be absorbed. In addition, they also secrete proteins that can act as toxins or signals for communication with mutualistic partners. It is clear that the vital property of any opportunist including Trichoderma is a successful combination of a superior ability to degrade multiple polymers and to associate (in a broad sense) with other (micro)organisms. Therefore, the inventory of secretome of an organism may reveal its potential ecological adaptations. Recently, the genomes of the three Trichoderma species (T. reesei, T. virens, and T. atroviride) have been sequenced by DOE JGI (Joint Genome Institute, http://genome.jgi.doe.gov, Grigoriev ) and annotated (Martinez ; Kubicek ). In this review, we describe the composition and properties of the in silico predicted secretome of Trichoderma and explain how the respective findings add to our understanding of the molecular physiology and ecology of the fungus.

The Trichoderma secretome

The secretome of an organism can be predicted from its protein sequences by in silico tools (e.g., SignalP Petersen ; http://www.cbs.dtu.dk/services/SignalP/) that screen for a signal sequence at the N-terminus used to move it into the endoplasmic reticulum for post-translational processing and ultimate secretion. Lists of such Trichoderma proteins can be retrieved from the Sordariomycetes page of the MycoCosm portal of DOE JGI (http://genome.jgi.doe.gov/sordariomycetes/sordariomycetes.info.html). When the probability of the signal peptide presence is setup for 95% (P < 0.05), secretomes of T. reesei, T. atroviride, and T. virens are defined by 826, 1030, and 1096 putative proteins, respectively. However, not all of them are truly excreted into the medium, but may stay in the endoplasmic reticulum or are transferred to vacuole or plasma membranes. Therefore, we applied the TMHMM Server v2.0 (http://www.cbs.dtu.dk/services/TMHMM/) to predict transmembrane helices in proteins, ProtComp, v8.0 (http://linux1.softberry.com/) and WolfPsort (http://wolfpsort.org/) both designed to predict the subcellular localization for animal or fungal proteins to remove these proteins. So, 747, 968, and 947 proteins of T. reesei, T. atroviride, and T. virens, respectively, were predicted as secreted through the plasma membrane (Table 1). Enzymes acting on poly- and oligosaccharides (carbohydrate active enzymes or CAZymes), small secreted cysteine-rich proteins (SSCPs), and ‘unknown proteins’ (i.e., orthologs for which in other ascomycetes have no function identified yet) comprised > 60% of the secretome of all three species (as determined in July 2012). Enzymes with hydrolytic activity on other polymers (proteases, lipases, nucleases, and phosphatases) and orphan proteins (i.e., proteins that have either no orthologs or only in other Trichoderma species) were present in lower numbers (as for July 2012). Interestingly, a small number of proteins were identified as enzymes that require molecular oxygen as substrate (flavoprotein monooxygenases, copper radical oxidases, cytochrome P450 oxidoreductases) and enzymes acting on hydrogen peroxide and superoxide (Table 1).
Table 1

Composition of the predicted secretome of Trichoderma

T. reeseiT. atrovirideT. virens
Total genes914311 86512 518
Genes with signal peptide82610301096
Extracellular proteins747968947
Glycosyl hydrolases (GH)114140139
Proteases618163
Oxidases243228
SSCPs174258250
Unknown genes213264253
Orphan genes507863
Other genes111115151
Composition of the predicted secretome of Trichoderma Oligonucleotide array data are so far available only for T. reesei, but a comparison of the predicted secretome with the genes expressed under a variety of conditions such as growth on cellulose and lactose or in presence/absence of light (Ivanova ; Arvas ; Tisch ) reveals that 560 of the 672 genes that encode secretory proteins are indeed expressed. The nontranscribed 17% of genes of T. reesei are evenly distributed among all the groups described earlier (Table 1). Notably, proteomic studies related to cellulase and hemicellulase formation in T. reesei have so far described a much smaller number of secreted proteins (cf. Herpoël-Gimbert ; Jun ; Adav ; for review see Kubicek, 2012a). In the most comprehensive analysis to date (Adav ), 50 cellulases, hemicellulases, and cellulase-accessory proteins, respectively, were identified, which make up less than half of the 122 CAZymes that are predicted to be secreted. It is possible that many of these proteins are secreted under in vitro (but maybe also in vivo) only in low amounts so that they remain undetected by experimental methods, or that many of them are proteins that are either part of the cell wall or remain bound to it. Adav ) also detected the presence of several of the proteins that perform an oxidative attack on extracellular substrates (cytochrome P450 monooxygenases, FAD-dependent enzymes etc.). Two proteomic studies (Jun ; Adav ) also detected several enzymes of intermediary metabolism (such as dehydrogenases) in the culture filtrate. While their presence could be due to autolysis or mycelial fragmentation (Kubicek, 2012a), several of such enzymes were also predicted as secreted. The biological role of their secretion, if it indeed occurs, remains unknown.

Degrading fungal cell wall polysaccharides

Trichoderma does not degrade lignin; thus, the majority of the polymers that it may target in its environment are polysaccharides. As a tribute to this, glycosyl hydrolases (GH) make up for about 15% of the Trichoderma secretome and comprise 122 of the 200 predicted CAZymes (Martinez ). While similar trend is also seen in other fungi, a comparative analysis reveals the abundance of genes encoding chitin- and ß-glucan degrading enzymes, in which Trichoderma (particularly the vigorous mycoparasites T. virens and T. atroviride) outnumber other fungi (Fig. 1). A reason for this may be deduced when one considers that the structural scaffold of the fungal cell wall is composed of chitin – a β-(1,4)-linked N-acetylglucosamine polymer – and β-(1,3)-glucan, which are together embedded in the amorphous fraction of α-glucans, galactomannans, and other carbohydrate polymers (Latgé, 2007). The enhancement of the gene inventory for the degradation of these polymers is therefore in accordance with the mycotrophic nature of Trichoderma. This is also reflected in T. reesei, which is a weaker mycoparasite compared to T. atroviride or T. virens, although it is capable to attack other fungi (Druzhinina ). The chitinases have recently been described in detail by Seidl (2008) and Gruber & Seidl-Seiboth (2012). Besides chitin, the second fibrillar polymer in fungal cell walls is β-(1,3)-glucan (Latgé, 2007). β-(1,3)-glucanases have so far been described for GH families 16, 55, 64, and 81. An increased numbers of GH enzymes from families 55 and 64 were also found in T. atroviride and T. virens compared to other filamentous fungi (Kubicek ). Because some of the β-(1,3)-glucan also contains β-(1,6) branches, β-(1,6)-glucanases are also present. Their deduction from GH families is more difficult; however, they are found in GH5 and GH30, but members of both of these families have different activities ranging from mannosidases to cellulases and xylosidases (for details, see Carbohydrate-Active enZYmes Database at http://www.cazy.org).
Fig 1

Amplification of chitinases, chitosanases, and ß-glucanases in Trichoderma. The numbers indicate genes. Generic names for fungi are as follows: T. for Trichoderma, A. for Aspergillus, S. for Sclerotinia, B. for Botryotinia, M. for Magnaporthe, G. for Gibberella, N. for Neurospora, and P. for Podospora, respectively.

Amplification of chitinases, chitosanases, and ß-glucanases in Trichoderma. The numbers indicate genes. Generic names for fungi are as follows: T. for Trichoderma, A. for Aspergillus, S. for Sclerotinia, B. for Botryotinia, M. for Magnaporthe, G. for Gibberella, N. for Neurospora, and P. for Podospora, respectively. While an important role of chitinases and ß-glucanases appears logical in terms of the necessity of Trichoderma to break up the wall of other fungi in mycotrophy, it is remarkable that the corresponding genes are not induced during confrontation with Rhizoctonia solani (Thanatephorus spp.). Only the GH16 endo-ß-1,3/1,4-glucanases of T. atroviride is significantly upregulated during this process (L. Atanasova, C.P. Kubicek, I.S. Druzhinina, unpublished).

Proteases

Our analysis reveals that Trichoderma may have one of the largest sets of proteases among fungi (as predicted with use of the peptidase database MEROPS http://merops.sanger.ac.uk, Rawlings et al., 2012). Indeed, the total numbers of predicted proteases are 383 (4.2% of all predicted protein coding genes), 445 (3.75%), and 479 (3.85%) in T. reesei, T. atroviride, and T. virens, respectively. Roughly, around 20% of the deduced Trichoderma proteases possess a signal peptide and are therefore entering the secretory pathway. The dominant groups were aspartyl proteases, serine proteases, subtilisin-like proteases, dipeptidyl and tripeptidyl peptidases (Table 2). The number of representatives of most of the secreted protease families is nearly the same between the species, but several families, such as the subtilisin-like proteases of the S8 family, dipeptidyl (S9) and tripeptidyl peptidases (S33), are expanded in T. virens and T. atroviride compared to T. reesei (Kubicek ). An interesting exception, however, was the alkaline serine proteases that are present in T. atroviride, of which only one had orthologs in T. reesei and T. virens.
Table 2

Proteolytic enzymes in the Trichoderma secretome*

Active amino acid residueNumberFamilyA. fumigatusT. reeseiT. atrovirideT. virens
AspartateA1Aspartyl proteases717 (15)19 (16)17 (15)
CysteineC01APapain type1
C13Legumin family11
GlutamateG1Aspergillopepsin3151
Metal ionM01Aminopeptidase N1
M12ADAM family of metalloproteases211
M14Metallocarboxypeptidase1444
M18Aminopeptidase 1 type1111
M20AGlutamatecarboxypeptidase type3434
M24Methionyl aminopeptidase 13776
M28Aminopeptidase S5777
M35Deuterolysin2111
M36Fungalysin1111
M38Isoaspartyl dipeptidase1
M43Cytophagalysin family11
SerineS01AChymotrypsin112
S8Subtilisin211 (10)15 (13)15 (13)
S9BDipeptidyl peptidase412 (9)14 (10)21 (15)
S10Carboxypeptidase Y11343
S12D-Ala-D-Ala-carboxypeptidase B213
S33Prolyl aminopeptidase5 (4)9 (5)10 (7)
S41Serine endopeptidase1
S51Dipeptidase E11
S53Sedolisin63117
ThreonineT03γ-glutamyl transferase112

Where two numbers are given, the first number is based on intact MEROPS output and the number in brackets specifies those that remained after manual removal of doubtful predictions.

Proteolytic enzymes in the Trichoderma secretome* Where two numbers are given, the first number is based on intact MEROPS output and the number in brackets specifies those that remained after manual removal of doubtful predictions. It is also striking that, despite the rather similar total number of protease families in the three Trichoderma spp., about 75% of them did not contain orthologs in the other two species and were thus unique. This phenomenon was most strongly reflected in the dipeptidyl peptidases, which shared no orthologs at all, and the least expressed in the aminopeptidases, which consisted of 80% orthologs. A comparison of secreted proteases of Trichoderma with those of dermatophytic fungi (Burmester ) shows the similarity in the enlargement of four M14 metallopeptidases and the S8 subtilisin family. In addition, the S33 serine proteases displayed in the Trichoderma secretome are mostly not secreted in other fungi. This unique pattern of expanded and secreted protease families likely offers an advantage to opportunistic Trichoderma species. Thus, recent transcriptomic studies (Seidl ) showed that the attack of R. solani (as a model prey) by T. reesei, T. atroviride, and T. virens was accompanied by the expression of various families of extracellular proteases and transporters for oligopeptides and amino acids. While some proteases from Trichoderma (mainly T. harzianum) had been implicated previously as involved in mycoparasitism (for review see Benítez ), these mostly comprised aspartyl proteases, subtilisin-like proteases, and the alkaline protease Prl1 (the latter only in T. atroviride; see above). In contrast, transcriptomic analysis identified – besides the two mentioned groups – also the involvement of dipeptidyl- and tripeptidyl peptidases and metalloproteases (L Atanasova, CP Kubicek, IS Druzhinina, unpublished). We speculate that the diversity of these proteases may form a synergistic system for the efficient use of proteins by Trichoderma. This amplified arsenal of proteases may not only be needed for the attack of other fungi, but also be involved in the interaction with nematodes and human tissues by respective species (T. longibrachiatum and its close genetic neighbors). Sharon ) demonstrated improved nematode antagonism in a T. cf. harzianum strain, in which the alkaline protease gene PLR1 has been overexpressed. A ‘serine protease’ from T. pseudokoningii SMF2 was recently shown to have nematocidal activity killing juveniles and inhibiting egg hatching of the plant parasitic nematode Meloidogyne incognita (Chen ). Similarly, proteases are the key virulence determinants produced by entomopathogenic fungi Metarhizium anisopliae and Beauveria bassiana (Cordyceps bassiana) during pathogenesis, and strains overexpressing protease Pr1A are being developed as alternatives to chemical insecticides (Schrank & Vainstein, 2010). In addition, various proteases have been implicated in virulence by fungi pathogenic to warm-blooded animals including humans such as Aspergillus fumigatus (Neosartorya fumigate), Candida albicans, or Microsporum canis, although the results are still controversial (Monod ; Monod, 2008; Burmester ). In the amphibian pathogenic chytrid, Batrachochytrium dendrobatidis, significant lineage-specific expansions in three protease families (metallo-, serine-type, and aspartyl proteases) were found to have occurred during transition from its nonpathogenic ancestor (Joneson ).

Degradation of plant biomass

Trichoderma reesei QM 6a, a fungus originally isolated as ‘Trichoderma viride’ during World War II at Guadalcanal on the Solomon Islands, is the progenitor of a plethora of high cellulases producing mutant strains. Nevertheless, the leading position of T. reesei in cellulase production has recently been questioned by the findings that its genome contains only a small repertoire of genes encoding cellulases and hemicellulases (Martinez ) when compared to several other fungi. Yet, a more detailed comparison with inclusion of the two other Trichoderma spp. shows that this generalization is only partially true (Table 3): the number of different cellulase components including the class 1 cellulose binding domains (CBM1) in Trichoderma is in the same range as found in other Pezizomycotina. Trichoderma spp., however, have much less GH61 polysaccharide monooxygenases. They dramatically increase cellulose hydrolysis by cellulase mixtures in a metal-ion-dependent way (Harris ). Phillips ) showed that the N. crassa polysaccharide monooxygenases display different regiospecificities on the cellulose chain resulting in oxidized products modified at either the reducing or nonreducing end of the glucan chain. In N. crassa, the electron transfer necessary for their action comes from cellobiose dehydrogenase. This is interesting because Trichoderma – while showing the enhancement of cellulase hydrolysis by the addition of the GH61 proteins (Harris ) has no obvious ortholog of cellobiose dehydrogenase (C.P. Kubicek, unpublished data). Yet, T. reesei culture filtrates can oxidize cellulose (Szakmary ), and it must therefore possess alternative systems for electron transfer, identification of which is clearly a point for further studies.
Table 3

Members of CAZymes families containing cellulases, cellulose monooxygenase, and cellulose binding proteins in Trichoderma spp. and other Pezizomycotina*

GH1GH3GH5GH6GH7GH12GH45GH61CBM1Total
Trichoderma reesei21311122131550
Trichoderma virens21716124232370
Trichoderma atroviride41414123131961
Gibberella zeae322151241151275
Magnaporthe grisea219133631172286
Neurospora crassa1973511141960
Aspergillus nidulans3211623119763
Aspergillus niger3171022407853
Podospora anserina1111546223328102
Sclerotinia sclerotiorum31314135291969
Botryotinia fuckeliana31615124291870

Enzymes occurring in the listed GH families include the following: GH1, GH3: various ß-glycosidases, including ß-glucosidases, ß-mannosidases and ß-xylosidases; GH5: endo-ß-glycanases including endo-glucanases and endo-mannanases; GH6: cellobiohydrolase CEL6A; GH7: cellobiohydrolase, CEL7A and endo-ß-1,4-glucanase CEL7B; GH12, GH45: endo-ß-1,4-glucanases; GH61, cellulose monooxygenase; CBM1: cellulose binding domain type 1.

Members of CAZymes families containing cellulases, cellulose monooxygenase, and cellulose binding proteins in Trichoderma spp. and other Pezizomycotina* Enzymes occurring in the listed GH families include the following: GH1, GH3: various ß-glycosidases, including ß-glucosidases, ß-mannosidases and ß-xylosidases; GH5: endo-ß-glycanases including endo-glucanases and endo-mannanases; GH6: cellobiohydrolase CEL6A; GH7: cellobiohydrolase, CEL7A and endo-ß-1,4-glucanase CEL7B; GH12, GH45: endo-ß-1,4-glucanases; GH61, cellulose monooxygenase; CBM1: cellulose binding domain type 1. A comparison of the hemicellulase diversity also contradicts the generalization of the ‘poor enzyme inventory’: when again compared to other fungi, all three Trichoderma spp. are enriched in several hemicellulolytic components, such as GH27 α-galactosidases, GH54 α-arabinofuranosidases/ß-xylosidases, GH67 and GH79 α-methyl-glucuronidases, GH95 α-fucosidases, and GH30 glucuronyl-xylanases. However, it is also clear that Trichoderma is short in enzymes degrading arabinan and ß-mannan and most strikingly in enzymes degrading pectin: while all three Trichoderma spp. have GH28 pectin hydrolases and GH78 rhamnogalacturonases, they completely lack pectin, pectate, and rhamnogalacturonan hydrolases, and also – except for CE8 pectin methylesterases – lack all esterases acting on pectin. In most of these cases, T. reesei shows a tendency of having one or more genes less than T. atroviride and T. virens. This can be partially referred to the operation of repeat-induced point mutation (RIP), a gene silencing mechanism that occurs in sexually reproducing fungi (Selker, 1990; Kubicek ). What do these differences between Trichoderma and other fungi tell about the biology of the fungus? The inventory of cellulolytic and hemicellulolytic enzymes described earlier is consistent with an organism that does not directly attack lignocellulose, but rather feeds on the predigested cellulose and particular hemicelluloses (xylan, arabinan, galactan). The expanded GHs are particularly necessary to cleave bonds to side chain substituents within XXGG-type xyloglucans, rhamnogalacturonan I, cereal arabinoxylans, and hardwood glucuronoxylans – polymers that surround the cellulose in the plant cell wall (Kubicek, 2012b). Interestingly, we have recently observed that the tropical T. reesei enhances the induction of its whole cellulolytic and hemicellulolytic arsenal when facing a temperate R. solani that is a very unlikely prey/host for this species in nature, whereas such response is not observed with T. atroviride or T. virens (L. Atanasova, C.P. Kubicek, I.S. Druzhinina, unpublished). The presence of a basidiomycete fungus may thus signal the availability of predigested plant biomass to T. reesei, a finding fully in accordance with the hypothesis that this species became a saprotroph by following basidiomycetes into their habitat (Rossmann ). Yet, the Trichoderma secretome also contains a number of oxidative enzymes, whose function has not yet been investigated, but may contribute to plant biomass degradation. These include glucose oxidases, multicopper oxidases (including laccases), and copper radical oxidases (glycolate oxidases). The presence of these enzymes is typical for white rot fungi, where they participate in lignin degradation (Kersten & Cullen, 2007; Hammel & Cullen, 2008). However, in brown rot fungi such as Postia placenta, they aid in the degradation of cellulose by Fenton chemistry (Martinez ). Could such a mechanism also operate in Trichoderma? One of the possible mechanisms working in brown rot fungi involves extracellular quinone redox cycling, quinate transporter, phenylalanine ammonia lyase, and laccase (Cohen ). It is interesting that all these genes are in fact expressed in T. reesei in the presence of cellulose (R. Bischof, B. Seiboth & C.P. Kubicek, unpublished data). In addition, the elevated expression of iron-uptake system and ferrooxidoreductases may be necessary to avoid the formation of Fe3+-trioxalate chelates that are poorly reducible by hydroquinones (Jensen ). The secretome of Trichoderma spp. also contains several oxaloacetate decarboxylases, of which one is induced on cellulose (R. Bischof, B. Seiboth & C.P. Kubicek, unpublished data). It can contribute to the detoxification of the wood predegraded by brown rot fungi that secrete oxalic acid into the medium (Micales & Highley, 1991).

Detoxification

Trichoderma secretome also contains a considerable number of cytochromes P450 proteins. They represent a superfamily of sequence-related heme oxygenases, which are found in most organisms, and whose roles range from carbon-source degradation and the elaboration of metabolites in prokaryotes, lower eukaryotes and plants, to detoxification of xenobiotic compounds in insects and mammals including humans (Kelly ; Singh ). However, they play the major role in the extracellular inactivation of hazardous materials (Roelofs ; Syed & Yadav, 2012). The detection of cytochrome P450 monooxygenases in Trichoderma secretome may explain the ability to grow and develop even in highly polluted habitats or in kerosene tanks (Klein ). These enzymes may therefore be also important for Trichoderma's opportunism.

Small secreted cysteine-rich proteins (SSCPs)

Finally, one of the largest groups of proteins secreted by Trichoderma is the small secreted cysteine-rich proteins (SSCPs). They were identified by the criteria that their Mr should be ≤300 amino acids long (as recommended by Martin ) and containing four or more cysteine residues (Kubicek ). Sequence similarity search tools and phylogenetic analyses allow their further subdivision into four groups: (i) hydrophobins and hydrophobin-like proteins; (ii) elicitor-like proteins; (iii) proteins with similarity to MRSP1 (MAP kinase repressed secreted protein 1), a 16-kDa protein that was identified to be strongly overexpressed in a delta-tmk1 (a MAPK) mutant of T. virens and which bears the conserved four-cysteine pattern C-X29-C[P/G]C-X31-C; and (iv) SSCPs with no attribution to any functional category (Kubicek ). Hydrophobins, probably the best known SSCPs, are characterized by the presence of eight positionally conserved cysteine residues of which four occur in doubles. They are found on the outer surfaces of cell walls of hyphae and conidia, where they mediate interactions between the fungus and the environment. Hydrophobins are conventionally grouped into two classes (classes I and II) according to their solubility in solvents, hydropathy profiles and spacing between the conserved cysteines. Trichoderma is known to have the largest abundance of class II hydrophobins (Kubicek ). Trichoderma atroviride and T. virens – but not T. reesei – also have class I-like hydrophobins, which however deviate from the class I hydrophobins of other fungi in several aspects and form separate clades within ascomycete-wide phylogenetic analysis (Seidl-Seiboth ). Hydrophobins are also involved in the attachment of Trichoderma hyphae to roots (Viterbo & Chet, 2006). A second, emerging SSCP group, are the elicitor-like proteins. One of them, T. virens Sm1 (ortholog T. atroviride EPL1; Seidl ) has also been studied in some detail, because it induces systemic disease resistance in the dicotyledon cotton (Gossypium hirsutum; Djonovic ). Also, Sm1 is necessary for the induction of systemic protection of maize (Zea mays) via the jasmonic acid pathway (Djonovic ). It is therefore likely that this group of SSCPs aids in the interaction of Trichoderma with plants. In fact, SSCPs with this action are known from several plant pathogenic fungi (Rep, 2005). However, in ectomycorrhizal basidiomycetes, SSCPs appear to be rather important in symbiotic interactions (Martin ). One of the most strongly expressed SSCP genes of Laccaria bicolor (miSSP7) is necessary for the establishment of ectomycorrhizae (Plett ; Plett & Martin, 2012). The function of the proteins belonging to the largest and unique group of Trichoderma (iv) SSCPs cannot be predicted at present. Interestingly, however, some members of this cluster contain CFEM domains or consensus sequences for glycosylphosphatidylinositol (GPI anchors). Conservation of these genes suggests that they may encode cell surface proteins with important roles in the interaction with other organisms, as in C. albicans (Pérez ).

Concluding remarks

Although the availability of both genome sequences and bioinformatic tools makes the prediction of potentially secreted proteins relatively straightforward, it is interesting that this approach has so far only scarcely been used in fungal ecology. In this review, we have shown how such information can be used to detect new or overlooked physiological properties. The inventory of Trichoderma poly- and oligosaccharide hydrolytic and modifying enzymes was already well known. However, the richness of its proteolytic arsenal was shown for the first time. In addition, the presence of several types of oxidative enzymes (and their expression during growth on cellulose) offers the possibility of alternative modes for degradation of lignocelluloses. Probably, the most remarkable aspect is the high number of SSCPs and unknown and orphan proteins, which together accounted for about 50% of the secretome and even exceeded this value in the secretome expressed on cellulose. Such proteins could include key effectors that control recognition of macromolecules and/or recognition of Trichoderma partner organisms in native habitat. The fact that these proteins have hardly been described in proteomic analyses of T. reesei culture filtrates may be due to their small size, which may have led to their escape from the 2D gels. Given the fact that many enzyme preparations from T. reesei are manufactured with only little purification steps, it would be worthwhile to know about the action and properties of these proteins.
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Review 2.  The cell wall: a carbohydrate armour for the fungal cell.

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Journal:  Mol Microbiol       Date:  2007-09-14       Impact factor: 3.501

Review 3.  Premeiotic instability of repeated sequences in Neurospora crassa.

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Review 4.  Self versus non-self: fungal cell wall degradation in Trichoderma.

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Journal:  Microbiology (Reading)       Date:  2011-08-26       Impact factor: 2.777

5.  Cytochrome P450 biodiversity and biotechnology.

Authors:  S L Kelly; D C Lamb; D E Kelly
Journal:  Biochem Soc Trans       Date:  2006-12       Impact factor: 5.407

6.  Evolution and ecophysiology of the industrial producer Hypocrea jecorina (Anamorph Trichoderma reesei) and a new sympatric agamospecies related to it.

Authors:  Irina S Druzhinina; Monika Komoń-Zelazowska; Lea Atanasova; Verena Seidl; Christian P Kubicek
Journal:  PLoS One       Date:  2010-02-12       Impact factor: 3.240

7.  Characterization and gene cloning of a novel serine protease with nematicidal activity from Trichoderma pseudokoningii SMF2.

Authors:  Lei-Lei Chen; Li-Jun Liu; Mei Shi; Xiao-Yan Song; Chang-Ying Zheng; Xiu-Lan Chen; Yu-Zhong Zhang
Journal:  FEMS Microbiol Lett       Date:  2009-07-27       Impact factor: 2.742

8.  Genome, transcriptome, and secretome analysis of wood decay fungus Postia placenta supports unique mechanisms of lignocellulose conversion.

Authors:  Diego Martinez; Jean Challacombe; Ingo Morgenstern; David Hibbett; Monika Schmoll; Christian P Kubicek; Patricia Ferreira; Francisco J Ruiz-Duenas; Angel T Martinez; Phil Kersten; Kenneth E Hammel; Amber Vanden Wymelenberg; Jill Gaskell; Erika Lindquist; Grzegorz Sabat; Sandra Splinter Bondurant; Luis F Larrondo; Paulo Canessa; Rafael Vicuna; Jagjit Yadav; Harshavardhan Doddapaneni; Venkataramanan Subramanian; Antonio G Pisabarro; José L Lavín; José A Oguiza; Emma Master; Bernard Henrissat; Pedro M Coutinho; Paul Harris; Jon Karl Magnuson; Scott E Baker; Kenneth Bruno; William Kenealy; Patrik J Hoegger; Ursula Kües; Preethi Ramaiya; Susan Lucas; Asaf Salamov; Harris Shapiro; Hank Tu; Christine L Chee; Monica Misra; Gary Xie; Sarah Teter; Debbie Yaver; Tim James; Martin Mokrejs; Martin Pospisek; Igor V Grigoriev; Thomas Brettin; Dan Rokhsar; Randy Berka; Dan Cullen
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-04       Impact factor: 11.205

9.  Functional environmental genomics of a municipal landfill soil.

Authors:  Dick Roelofs; Muriel de Boer; Valeria Agamennone; Pascal Bouchier; Juliette Legler; Nico van Straalen
Journal:  Front Genet       Date:  2012-05-16       Impact factor: 4.599

10.  Transcriptomic response of the mycoparasitic fungus Trichoderma atroviride to the presence of a fungal prey.

Authors:  Verena Seidl; Lifu Song; Erika Lindquist; Sabine Gruber; Alexeji Koptchinskiy; Susanne Zeilinger; Monika Schmoll; Pedro Martínez; Jibin Sun; Igor Grigoriev; Alfredo Herrera-Estrella; Scott E Baker; Christian P Kubicek
Journal:  BMC Genomics       Date:  2009-11-30       Impact factor: 3.969

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  32 in total

Review 1.  Trichoderma-plant-pathogen interactions: advances in genetics of biological control.

Authors:  Mala Mukherjee; Prasun K Mukherjee; Benjamin A Horwitz; Christin Zachow; Gabriele Berg; Susanne Zeilinger
Journal:  Indian J Microbiol       Date:  2012-09-29       Impact factor: 2.461

2.  Differential Response of Extracellular Proteases of Trichoderma Harzianum Against Fungal Phytopathogens.

Authors:  Vivek Sharma; Richa Salwan; Prem N Sharma
Journal:  Curr Microbiol       Date:  2016-06-08       Impact factor: 2.188

Review 3.  The Genomes of Three Uneven Siblings: Footprints of the Lifestyles of Three Trichoderma Species.

Authors:  Monika Schmoll; Christoph Dattenböck; Nohemí Carreras-Villaseñor; Artemio Mendoza-Mendoza; Doris Tisch; Mario Ivan Alemán; Scott E Baker; Christopher Brown; Mayte Guadalupe Cervantes-Badillo; José Cetz-Chel; Gema Rosa Cristobal-Mondragon; Luis Delaye; Edgardo Ulises Esquivel-Naranjo; Alexa Frischmann; Jose de Jesus Gallardo-Negrete; Monica García-Esquivel; Elida Yazmin Gomez-Rodriguez; David R Greenwood; Miguel Hernández-Oñate; Joanna S Kruszewska; Robert Lawry; Hector M Mora-Montes; Tania Muñoz-Centeno; Maria Fernanda Nieto-Jacobo; Guillermo Nogueira Lopez; Vianey Olmedo-Monfil; Macario Osorio-Concepcion; Sebastian Piłsyk; Kyle R Pomraning; Aroa Rodriguez-Iglesias; Maria Teresa Rosales-Saavedra; J Alejandro Sánchez-Arreguín; Verena Seidl-Seiboth; Alison Stewart; Edith Elena Uresti-Rivera; Chih-Li Wang; Ting-Fang Wang; Susanne Zeilinger; Sergio Casas-Flores; Alfredo Herrera-Estrella
Journal:  Microbiol Mol Biol Rev       Date:  2016-02-10       Impact factor: 11.056

4.  Comparative genome analyses suggest a hemibiotrophic lifestyle and virulence differences for the beech bark disease fungal pathogens Neonectria faginata and Neonectria coccinea.

Authors:  Catalina Salgado-Salazar; Demetra N Skaltsas; Tunesha Phipps; Lisa A Castlebury
Journal:  G3 (Bethesda)       Date:  2021-04-15       Impact factor: 3.154

5.  Small genome of the fungus Escovopsis weberi, a specialized disease agent of ant agriculture.

Authors:  Tom J B de Man; Jason E Stajich; Christian P Kubicek; Clotilde Teiling; Komal Chenthamara; Lea Atanasova; Irina S Druzhinina; Natasha Levenkova; Stephanie S L Birnbaum; Seth M Barribeau; Brooke A Bozick; Garret Suen; Cameron R Currie; Nicole M Gerardo
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-14       Impact factor: 11.205

6.  Evaluating the mycostimulation potential of select carbon amendments for the degradation of a model PAH by an ascomycete strain enriched from a superfund site.

Authors:  Lauren M Czaplicki; Monika Dharia; Ellen M Cooper; P Lee Ferguson; Claudia K Gunsch
Journal:  Biodegradation       Date:  2018-07-13       Impact factor: 3.909

7.  The polyketide synthase gene pks4 of Trichoderma reesei provides pigmentation and stress resistance.

Authors:  Lea Atanasova; Benjamin P Knox; Christian P Kubicek; Irina S Druzhinina; Scott E Baker
Journal:  Eukaryot Cell       Date:  2013-09-13

8.  Investigation of protein secretion and secretion stress in Ashbya gossypii.

Authors:  Tatiana Q Aguiar; Orquídea Ribeiro; Mikko Arvas; Marilyn G Wiebe; Merja Penttilä; Lucília Domingues
Journal:  BMC Genomics       Date:  2014-12-18       Impact factor: 3.969

9.  Comparative metabolism of cellulose, sophorose and glucose in Trichoderma reesei using high-throughput genomic and proteomic analyses.

Authors:  Lilian Dos Santos Castro; Wellington Ramos Pedersoli; Amanda Cristina Campos Antoniêto; Andrei Stecca Steindorff; Rafael Silva-Rocha; Nilce M Martinez-Rossi; Antonio Rossi; Neil Andrew Brown; Gustavo H Goldman; Vitor M Faça; Gabriela F Persinoti; Roberto Nascimento Silva
Journal:  Biotechnol Biofuels       Date:  2014-03-21       Impact factor: 6.040

10.  Functional analyses of Trichoderma reesei LAE1 reveal conserved and contrasting roles of this regulator.

Authors:  Razieh Karimi-Aghcheh; Jin Woo Bok; Pallavi A Phatale; Kristina M Smith; Scott E Baker; Alexander Lichius; Markus Omann; Susanne Zeilinger; Bernhard Seiboth; Catherine Rhee; Nancy P Keller; Michael Freitag; Christian P Kubicek
Journal:  G3 (Bethesda)       Date:  2013-02-01       Impact factor: 3.154

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