Hydrophobins in the Life Cycle of the Ectomycorrhizal Basidiomycete Tricholoma vaccinum

Dominik Sammer; Katrin Krause; Matthias Gube; Katharina Wagner; Erika Kothe

doi:10.1371/journal.pone.0167773

Abstract

Hydrophobins—secreted small cysteine-rich, amphipathic proteins—foster interactions of fungal hyphae with hydrophobic surfaces, and are involved in the formation of aerial hyphae. Phylogenetic analyses of Tricholoma vaccinum hydrophobins showed a grouping with hydrophobins of other ectomycorrhizal fungi, which might be a result of co-evolution. Further analyses indicate angiosperms as likely host trees for the last common ancestor of the genus Tricholoma. The nine hydrophobin genes in the T. vaccinum genome were investigated to infer their individual roles in different stages of the life cycle, host interaction, asexual and sexual development, and with respect to different stresses. In aerial mycelium, hyd8 was up-regulated. In silico analysis predicted three packing arrangements, i.e., ring-like, plus-like and sheet-like structure for Hyd8; the first two may assemble to rodlets of hydrophobin covering aerial hyphae, whereas the third is expected to be involved in forming a two-dimensional network of hydrophobins. Metal stress induced hydrophobin gene hyd5. In early steps of mycorrhization, induction of hyd4 and hyd5 by plant root exudates and root volatiles could be shown, followed by hyd5 up-regulation during formation of mantle, Hartig’ net, and rhizomorphs with concomitant repression of hyd8 and hyd9. During fruiting body formation, mainly hyd3, but also hyd8 were induced. Host preference between the compatible host Picea abies and the low compatibility host Pinus sylvestris could be linked to a stronger induction of hyd4 and hyd5 by the preferred host and a stronger repression of hyd8, whereas the repression of hyd9 was comparable between the two hosts.

Citation: Sammer D, Krause K, Gube M, Wagner K, Kothe E (2016) Hydrophobins in the Life Cycle of the Ectomycorrhizal Basidiomycete Tricholoma vaccinum. PLoS ONE 11(12): e0167773. https://doi.org/10.1371/journal.pone.0167773

Editor: Jae-Hyuk Yu, University of Wisconsin Madison, UNITED STATES

Received: August 29, 2016; Accepted: November 18, 2016; Published: December 9, 2016

Copyright: © 2016 Sammer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information file.

Funding: This research was supported by the International Leibnitz and Research School, Max Planck Society, Germany, and by the German Research Foundation with Graduate School 214 (www.dfg.de).

Competing interests: The authors have declared that no competing interests exist.

Introduction

The mutualistic ectomycorrhizal symbiosis of basidiomycetes with tree roots plays an important role in forest ecosystems, where trees are connected via fungal mycelia leading to better nutrient and water distribution [1]. Based on the interaction, the plant benefits from mineral supply, resistance against pathogens, growth promotion and increased metal tolerance, whereas the fungus is supported with growth promoting factors, vitamins and up to 30% of net photosynthetic carbohydrates (for review [2]). More than 50% of the mRNAs were differentially expressed upon host interaction in Pisolithus tinctorius [3]. Knowledge on ectomycorrhiza (ECM) increased significantly, when studies of gene expression, carbohydrate metabolism or nitrogen transport became available for different ectomycorrhizal fungi. Signaling involved in host recognition, e.g. by abietic acid, oligopeptides, phytohormones, volatiles, and hydrophobins, has been discussed (for reviews, see [2, 4, 5] and citations therein).

More than 6,000 fungal species are estimated to form ECM, with the fungus functionally replaces root hairs by hyphae extending into the surrounding soil, coating the short roots with a pseudoparenchymatic mantle, and penetrating into the extracellular space to form the characteristic Hartig’ net, where the exchange of nutrients between both partners takes place (for review [2]).

The genus Tricholoma is widely distributed, with 90–100 species world-wide, 65–70 of which are found in Europe [6]. These basidiomycetes typically form late stage ECM, associated with slow growth and high adaptive capacity leading to high host specificity. Within the genus, three clades are separated, easily distinguishable by their cap colours with brown, yellow and white/grey capped Tricholoma species [7]. Their mode of living includes saprotrophic growth on plant litter and ectomycorrhiza developed on diverse gymnosperm and angiosperm host trees including Pinus, Picea, Fagus and Quercus. Only after the symbiotic association is established, the fungus is capable to form fruiting bodies. However, the signals that trigger the formation of fruiting bodies remain elusive. The species T. vaccinum undergoes mutualistic symbiotic interactions with conifers, predominantly spruce, and rarely pine [6, 8]. In axenic co-cultures host specificity is seen with compatible interactions established within weeks, while low compatibility interactions need several months for development [8]. In nature, 98% of the harvested fruiting bodies are found under the native host spruce (Picea abies), while 2% occur near the low compatibility host Pinus sylvestris [6]. Using co-cultures, differential gene expression was analyzed with respect to mycorrhization and host specificity [9].

The mediators of interaction between host and fungus in mycorrhiza can be either volatiles or secreted proteins and small organic molecules. Signalling molecules of the plant can be expected in the released exudates that include carbohydrates, low molecular weight aliphatic and aromatic acids, fatty acids, enzymes, phytohormones like indole-3-acetic acid, and amino acids like tryptophan, or in the volatiles that may contain ethanol, acetaldehyde and monoterpenes like 1,8-cineole [4]. Different chemical composition of tree root exudates, e.g. organic acids, are reported for conifers P. abies and P. sylvestris also in relation to environmental conditions [10, 11]. Additionally, ethanol is known to be accumulated in roots especially during hypoxia [12]. Volatiles of both, the tree and the fungus, include terpenes like pinenes, camphene and limonene, 1-octen-3-ol and 3-octenone [13], and fungus derived sesquiterpenes affect root architecture [13, 14]. Plant-derived phytohormones were shown to increase growth and hyphal ramification in T. vaccinum, and the fungus is able to produce indole-3-acetic acid [8, 15].

Hydrophobins are small, secreted proteins, about 100 amino acids long, with low sequence homologies. They cluster into class I (basidiomycetes) and class II (mainly ascomycetes) with respect to their solubility; and all contain a consensus of eight cysteine residues’ spacing, with disulfide bridges being formed [16]. The first hydrophobin characterized was Sc3 from Schizophyllum commune, a white rot basidiomycete. This protein plays an essential role in formation of aerial mycelium. Structure predictions as well as pictures showing the formation of rodlet like structures formed on aerial hyphae allowed for an identification of structure-function association in this well-studied system [17–21]. After secretion of soluble monomers into the medium, it aggregates and covers the hydrophilic hyphae upon conformational change at hydrophilic/hydrophobic interfaces. The lowered surface tension allows hyphae to breach the surface and grow into the air. A Δsc3 mutant lacks aerial mycelium, and is easily wettable [22]. A further characteristic of hydrophobins covering aerial hyphae is their ability to form rodlet structures, with class I aggregates being smaller in size (7–15 nm), insoluble in water and harder to dissolve as compared to class II hydrophobins [23, 24].

The protein Sc3 is posttranslationally modified by O-glycosylation at Thr19 and Ser42 with addition of 16 to 22 mannosyl residues [25]. Similar glycosylation was predicted for Hyd1 of T. terreum, since the anti-Sc3 antibody recognized primarily the glycosylated molecular pattern [26]. Using immuno-fluorescence imaging, a host-specific enrichment of this hydrophobin protein in the Hartig’ net during a compatible interaction was shown with the native host P. sylvestris, while the low compatibility interaction with spruce showed expression only with hyphae in the mantle of Tricholoma mycorrhizal roots [26].

With S. commune, other hydrophobin genes were shown to be present only in fruiting bodies (Sc1 and Sc4; [27]). Differential roles for different hydrophobins thus is already established with a system that is genetically tractable. With respect to Tricholoma, different roles of single hydrophobins might explain the host or substrate specificity [26], and further hypothetic functions might be inferred from differential expression, as was the case with the S. commune proteins. Biotic and abiotic factors affect the regulation of hydrophobin genes [28, 29]. In S. commune as well as in lichens, a specifically expressed hydrophobin lines air channels of fruiting bodies or thalli [30]. Changes in the environment lead to hydrophobin repression, e.g. exposure to cadmium that was suggested to cause a re-direction of metabolic fluxes in Paxillus involutus with cysteine being used to form, e.g., glutathione that is important for complexation and detoxification of heavy metals [31]. Functions of hydrophobins include regulating cell wall integrity, conidiospore hydrophobicity (dewA of Aspergillus nidulans), adhesion in pathogenic interactions (mpg1 of Magnaporthe grisea), as well as ectomycorrhizal interactions [32].

However, the biological function of hydrophobins is not strictly defined. With this study, a structure prediction using in silico analyses was performed to elucidate the relation between structure and function for aerial hyphae formation of one of the encoded hydrophobins that is found up-regulated in aerial hyphae. Numbers of genes coding for hydrophobins in different basidiomycetes differ, and a probable functional specialization of the different members of the family has been proposed [33]. Here, we aimed at investigating differential expression of hydrophobins using of all nine hydrophobin genes of T. vaccinum [34]. The expression patterns allowed us to infer potential roles for each of the hydrophobins in this fungus which mainly grows as a dikaryon. Previous efforts to produce monokaryons by protoplasting were not successful and the absence of auxotrophic mutants prevents knock-out analyses. The present work refines our knowledge on hydrophobin regulation, especially with regard to ECM that impacts ecology of forest growth and woodland ecosystem function and stability, as well as the processes involved in establishing the mycorrhizal association.

Materials and Methods

Organisms and culture conditions

The Tricholoma strains used in this study were obtained from the Jena Microbial Resource Center (JMRC, see Supporting Table 1 in S1 File) or by collecting fully grown, fresh fruiting bodies around Jena, Germany (+50° 55’ 11.29, +11° 31’ 30). The genome sequence of T. vaccinum GK6514 [34] was used to obtain hydrophobin sequences from all strains (NCBI GenBank accession numbers: Supporting Table 2 in S1 File).

For DNA or RNA extraction from fruiting bodies, the samples were ground in liquid nitrogen within 1 h of collection. To exclude contamination, ITS PCR was performed [35].

T. vaccinum was cultivated on half-concentrated MMNb [36]. To induce substrate mycelium on soil containing solid media, 10 g/l of commercially available potting soil (COMPO GmbH, Germany) was diluted in distilled water. For metal treatments, 20 d liquid cultures in half-concentrated MMNb were treated for 24 h with sublethal concentration of 0.5 mM NiCl₂, CaCl₂, CuCl₂ and 0.05 mM CdCl₂. The sublethal concentrations had been established by a dilution series that defined inhibitory effects to fungal growth as a dikaryon (data not shown). The time of 24 h was necessary since the (non-synchronous) fungal cells are slow-growing at > 12 h doubling times. Further, we could not record substantial differences in gene expression in shorter time spans.

Seeds (Landesforst Mecklenburg-Vorpommern, Germany) were germinated and grown as previously described [9]. Root exudates of ten one-month-old plants of P. abies or P. sylvestris were collected under sterile conditions by transferring plantlets into 1 ml sterile pipette tips of a sterile pipette tip box (standard rack, Greiner Bio-One GmbH, Frickenhausen, Germany) containing 100 ml 20% MMNa solution (Supporting Figure 1 in S1 File [36, 37]). The incubation was performed in a moisture chamber. After one week of incubation, the liquid was filtered (Millipore 0.22 μm, Millipore) and 70 ml half-concentrated MMNb of a 20 d liquid culture was treated for 24 h with 15 ml of root exudate before extracting RNA. A treatment for 24 hours was necessary to induce gene regulation of the slow-growing (non-synchronous) fungal cells and to have a substantial portion of induced hyphae.

For the investigation of potential active substances known from root exudates, indole-3-acetic acid (IAA) and ethanol were tested. A pre-grown liquid culture (20 d, half-concentrated MMNb) was supplemented with 0.01% ethanol or IAA (0.1, 0.01, 0.001 mM) dissolved in 0.01% ethanol for 24 hours. For the early transcriptional answer of the mycobiont to the exposure to root volatiles, T. vaccinum was cultivated with host on one side containing half-concentrated MMNb of a two-compartment split Petri dish on a cellophane membrane (Wilhelm Isermann KG, Walsrode, Germany) either for 4 or for 20 days. The plant was placed on MMNa medium with root inside, stipe and leaf outside of the dish (Supporting Figure 1 in S1 File).

An axenic Petri dish system was used to synthesize ectomycorrhiza (Supporting Figure 1 in S1 File) as previously described by Krause and Kothe [9], but here the complete seedling was enclosed in the Petri dish. The system was incubated for 6–8 weeks, until the typical morphology of ectomycorrhizal root tips was observed. The mycorrhized area of the root was harvested, aerial mycelium removed and total RNA extracted.

Quantitative real-time PCR

Because of low biomass production of the fungus, at least three independent biological replicates were combined, and two technical replicates for each RNA isolation were performed [38] with two reverse transcriptions using 1 μg or 0.1 μg of total RNA (QuantiTect Reverse Transcription Kit, Qiagen). All cDNAs were measured 3 times for each gene (Maxima SYBR Green qPCR Master Mix, Thermo Fisher, Waltham, MA, USA) using a SmartCycler II thermocycler (Cepheid, Sunnyvale, CA, USA). For amplification of the target hydrophobin genes hyd1 through hyd9, as well as the reference genes act1 (actin) and tef1 (translation elongation factor EF1α), oligomers were synthesized by Eurofins (Gibco, Karlsruhe, Germany; Supporting Table 3 in S1 File). Neither the actin gene nor the elongation factor responded with differential regulation to the different treatments (Supporting Figure 2 in S1 File [39, 40, 41]). The primers span an intron to identify potential genomic DNA contamination visible in different PCR product lengths, e.g. for tef1 150 bp with DNA in comparison to 100 bp with cDNA. Primer efficiencies were calculated based on the slope of a standard curve generated from series of different cDNA concentrations. The data were normalized and quantified relative to the expression of the reference genes and corrected for the calculated efficiency [42, 43]. Unspecific binding of primers to plant RNA and genomic DNA was not observed. For expression analysis of T. vaccinum fruiting bodies different primers (hyd1-8fb, Supporting Table 3 in S1 File) were used according to the minor changes in the nucleotide sequence. For the data analysis the efficiency of the primers was set to 100%.

ITS and hydrophobin PCR

Isolated genomic DNA [44] was used for ITS1/ITS4 PCR [45] with initial denaturation for 120 s at 95°C; 45 cycles of denaturation for 30 s at 95°C, annealing for 30 s at 56°C, and extension for 48 s at 72°C and hydrophobin amplification with a gradient PCR (initial denaturation for 120 s at 95°C, 45 cycles of denaturation for 30 s at 95°C, annealing for 30 s at 52–58°C, and extension for 30 s at 72°C; with primers hyd1-9ampl, Supporting Table 3 in S1 File). The amplicons were ligated into a cloning vector (pDrive, Qiagen) and sequenced with T7 and SP6 primers (GATC Biotech AG).

ITS sequences were compared against NCBI and UNITE database entries for phylogenetic analyses. Alignments were created with MAFFT (version 7.221 [46] by online server, using Q-INS-i strategy for ITS, default settings for hydrophobin genes and Blossum 80 protein substitution matrix). The program MrBayes (version 3.2) was used for phylogenetic analysis [47, 48]. Prediction of potential glycosylation sites was performed (http://www.imtech.res.in/raghava/glycoep).

Phylogenetic analyses

For all datasets, two runs with each 1,000,000 generations in four chains were performed, with sampling every 100 generations, and with a burn-in of 20 percent (GTR+G was assumed for ITS sequences, Dayhoff model for hydrophobin protein sequences). Full length hydrophobin gene and mature protein sequences were combined to reconstruct a phylogenetic tree. In order not to confuse the lineages within basidiomycetes by rooting the tree in one of them, the outgroup class II hydrophobin of Paracoccoides brasiliensis was chosen.

BayesTraits version 2.0 [49] was used to obtain ancestral states by Maximum Likelihood (default) and Bayesian method (default, burnin 50000). The calculation of abundance of Tricholoma under a specific host tree was adopted from Kriegelsteiner [6]. To allow for calculation of ratios, the numbers were classified from percent into classes (A = 0%; B = 1–24%; C = 25–49%; D = 50–74%; E = 75–99%; F = 100%, Supporting Table 4 in S1 File). Bayesian results were analyzed with TRACER version 1.5 [50] and visualized with FigTree version 1.4.2 [51]. The rates of nonsynonymous (d_n) and synonymous (d_s) nucleotide substitutions per site for each of the orthologous groups were estimated separately using the CRANN software [52] with the hydrophobin 1 gene of Moniliophthora roreri MCA 2997 (XM_007854886) as outgroup. Hydrophobicity was predicted with ProtScale [53] with the Kyte & Doolittle scale [54]. Secretion signals were checked with SignalP (version 3.0 [55]) and glycosylation sites with GlycoEP [56]). I-TASSER was used to predict a 3D structure for T. vaccinum hydrophobins [57] using DewA [58], Hfb2 [59], and EAS [60] as templates with HADDOCK driven prediction to model protein-protein interactions (F86 = active; S85-G89 = passive or F54 = active; V52-D55 = passive; solvent = water [23, 61]). Protein calculator (Innovagen AB, Sweden) was used for the prediction of pH net charge. The similarities of the secondary structure of the hydrophobins were calculated with MATRAS [62]. Amino acid similarities of hydrophobins from T. vaccinum fruiting body and T. vaccinum GK6514 were additionally calculated with AlignX (a component of Vector NTI, Invitrogen, 2008) to allow for protein similarity comparisons. To find motifs in mycorrhiza specific genes (ald1 (HM363121), mte1 (KP137511), phospholipase [9]) their promoters (-1000 bp to +50 bp) were analyzed with MEME suite [63] and TOMTOM [64] to compare against a database of known DNA motifs.

Statistical treatments

Fold change values were calculated via ΔΔCt method [38]. To compare groups, a two-tailed unpaired Student’s T-test was used for qRT-PCR data on the fold change values. Significance levels were set to * P-value < 0.05, ** P-value < 0.005, *** P-value < 0.005. Groups of data are given as average values ± standard deviation.

Results

Class I hydrophobins of T. vaccinum

Nine hydrophobin genes were identified from a genomic sequence of T. vaccinum GK6514 based on the lenght of the probable gene, position of introns and the cysteine motif in encoded protein (Table 1). The hydrophobicity pattern of all hydrophobins from T. vaccinum was consistent with class I hydrophobins (Supporting Figure 3 in S1 File). The T. vaccinum proteins shared the typical length of hydrophobins with approximately 100 amino acids, except for Hyd7, which features an extended N-terminus (120 amino acids in total). For this protein, as well as for Hyd8, a comparatively high number of putative glycosylation sites were predicted (see Table 1). As expected, all conceptually translated hydrophobins showed secretion signal peptides and the respective consensus for signal sequence proteases (Supporting Figure 4 in S1 File).

Download:

Table 1. General characteristics of the identified T. vaccinum hydrophobins.

https://doi.org/10.1371/journal.pone.0167773.t001

Structure and organization of hydrophobin genes of T. vaccinum

The hydrophobin genes varied in length from 439 bp (hyd1 and hyd6) to 585 bp (hyd7) with an average GC-content of 52%. By sequencing of the corresponding cDNAs, two introns at conserved positions for all tested T. vaccinum isolates with one splice site within the 5^th cysteine residue were observed (except for three introns in hyd7 of T. vaccinum GK6514 and no intron in hyd2 of T. vaccinum MG111121-03, indicative of a late duplication via mRNA reverse transcription, Fig 1). The average intron length was typical for basidiomycetes with 61 bp (max 86, min 50 bp). Because of an inverted tandem duplication, the genes hyd3 and hyd4 (62% identity) are linked with 1163 bp separating the genes including a shared promoter. Duplication for hyd1 and hyd6 with 92% gene and 93% protein identity was more recent. Under no tested condition, hyd6 mRNA was detectable.

Download:

Fig 1. Gene and genomic structure of hydrophobins in T. vaccinum.

(A) The exons of hydrophobin genes are visualized by arrows; the asterisk shows the position of the 5th cysteine residue within a splice site. (B) The genomic structure is presented for the scaffolds of T. vaccinum genome.

https://doi.org/10.1371/journal.pone.0167773.g001

In total, 43 Tricholoma sequences could be identified with 9x hyd1, 10x hyd2, 4x hyd3, 6x hyd4, 2x hyd5, 6x hyd7, 6x hyd8 (Supporting Table 2 in S1 File). There was no hyd6 group, as hyd6 is a duplication of hyd1 and therefore clusters within this group. In addition, no further hyd9 could be found in other Tricholoma species, indicating a strain dependent duplication (Fig 2). Inverse tandem duplication creating genes hyd3 and hyd4 of T. vaccinum GK6514 is assumed to have resulted from a recent event. The T. vaccinum hydrophobins except Hyd7 cluster with the closely related species T. terreum and five (of eight) T. matsutake and seven (of twelve) hydrophobins of the mycorrhizal fungus Laccaria bicolor (Supporting Figure 5 in S1 File). Thus, Hyd7-like hydrophobins form a separate cluster. The gene clustering with potential similar regulatory schemes may be indicative of similar functions. T. matsutake Hyd7 shows closest sequence similarity, as well as hydrophobicity plot similarity to TvHyd3 of T. vaccinum and Sc4 of S. commune with function in fruiting bodies [27]. Within the same branch of hydrophobins, TmHyd6 is orthologous to TvHyd8, TvHyd4 and S. commune Sc3 (supporting aerial mycelium formation [16]) also visible with pH versus net charge profiles (Supporting Figure 6 in S1 File). The host specific hyd5 group clustered with hydrophobins of the T. vaccinum fruiting body, T. albobrunneum, T. terreum (shown to be involved in host interaction as well [26]) and two sequences of T. matsutake. Their characteristics in hydrophobicity and net charge versus pH are similar. The rates and patterns of nucleotide substitutions were analyzed by calculating the non-synonymous (d_n) and synonymous (d_s) values. Of the 102 pair-wise comparisons, 20 showed a d_n/d_s ratio > 1, representing a relaxed or positive selection in the Hyd1, Hyd3, Hyd4 and Hyd7 groups.

Download:

Fig 2. Consensus phylogram of hydrophobins from genus Tricholoma.

Gene sequences conceptually translated and protein sequences were used from T. albobrunneum (Ta), T. imbricatum (Ti), T. fracticum (Tfr), T. fulvum (Tf), T. imbricatum (Ti), T. matsutake (Tm), T. terreum (Tt), T. ustaloides (Tu), T. vaccinum (Tv), and fruiting body (Fb). Bayesian posterior probability values are shown above corresponding branches; branch lengths are proportional to evolutionary distances. The class II hydrophobin PbHyd2 from the ascomycete Paracoccidioides brasiliensis has been included as outgroup.

https://doi.org/10.1371/journal.pone.0167773.g002

Since we wanted to relate the hydrophobin lineages to functions in mycorrhization, it was necessary to show relationships to other Tricholoma species based on ITS sequences. The phylogeny of Tricholoma species shows three main clusters coinciding with different fruiting body colours (Supporting Figure 7 in S1 File). We found the grey-capped Tricholoma to be basal, and brown as well as yellow capped species derived. With respect to mycorrhization, the brown and grey Tricholoma species are known to mainly form ECM with conifers [6], with only few broadleaf associations being present. The yellow capped species establish mainly strongly compatible ECM interactions with conifers while rarely accepting broadleaved trees such as Fagus as low compatibility partners [6]. However, the prediction for the ancestral state of host preference showed associations with angiosperms, Fagus and Betula and/or Quercus. Both methods, the Markov chain Monte Carlo and maximum likelihood predictions, revealed Fagus and Quercus as being ancestral host trees. In addition, and using only maximum likelihood, a highly compatible association with Betula could be seen.

Regulatory motifs in hydrophobin gene promoters

To find indications for a regulation based on mycorrhizal interactions and to suggest potential roles for single hydrophobins, we checked the promoter regions of hydrophobin genes in comparison with mycorrhiza specific genes ald1, mte1 and the gene encoding phospholipase B [9] for regulatory motifs (Fig 3). Using the yeast database regulatory elements corresponding to binding regions for,Gcn4 (activator of amino acid biosynthetic genes), Mot3 (repression in hypoxia), Skn7 (response to oxidative stress and involved in osmoregulation), Met32 (transcriptional regulation of methionine biosynthesis and sulfur metabolism), and Rim101 (alkaline response, cell wall assembly, alkaline-stimulated haploid invasive growth and sporulation) were identified.

Download:

Fig 3. Regulatory motifs of mycorrhiza specific genes.

Predictions were obtained from MEME suite and TOMTOM analysis.

https://doi.org/10.1371/journal.pone.0167773.g003

Aerial hydrophobins of T. vaccinum

To compare hydrophobin coating of aerial mycelium to substrate mycelium growing on compost soil or submerged in liquid media, expression analyses were performed. Although soil did not show significant induction of aerial mycelium formation, a general induction of hydrophobin genes was seen. This was not the case for hyd8 that was repressed also in immersed culture, but strongly induced in floating mycelium, while hyd9 showed the opposite regulation (Fig 4A). In floating mycelium, in addition to hyd8, the slight induction of hyd3 and hyd4 was observed. This is in accordance with the high number of potential glycosylation sites of Hyd8 as the major aerial mycelium hydrophobin.

Download:

Fig 4. Fold changes of relative expression of hydrophobin transcripts.

(A) Mycelium grown on soil (substrate mycelium), immersed and floating mycelium compared to solid medium. (B) Liquid culture treated with root exudates of P. abies or P. sylvestris, and (C) with ethanol (EtOH) and indole-3-acetic acid (IAA) both compared with non-treated liquid culture. (D) Response to volatiles from mycelia grown on solid medium, next to roots of P. abies or P. sylvestris, and (E) in ectomycorrhiza with P. abies or P. sylvestris both compared to a control on solid medium. (F) Fruiting bodies compared to artificial medium and soil. Bars denote standard error, significance level * P < 0.05, ** P < 0.005, *** P < 0.005.

https://doi.org/10.1371/journal.pone.0167773.g004

Since hydrophobins on aerial hyphae are known to show a distinct rodlet structure, tertiary structure prediction was performed using the well studied spore wall hydrophobin DewA of A. nidulans as a template (Supporting Table 5 in S1 File). High similarity was observed for all hydrophobins, with short unaligned N- and C-termini (Supporting Figure 8 in S1 File). While there is little conservation of predicted α-helices, turns or ungrouped residues were seen and tertiary structure prediction showed the ability to interact for all hydrophobins, alone or in combination. Phenylalanine F86 of Hyd8 was active in forming a ring-like super-structure of 7 nm diameter composed of four hydrophobin molecules in one layer (Fig 5A, Supporting Figure 8 in S1 File), while F54 was able to initiate a plus-like structure of hexamers (Fig 5B, Supporting Figure 8 in S1 File). These plus-like subunits could assemble to a rodlet structure with a diameter of 15 nm. A sheet-like structure was additionally predicted from a packing arrangement (Fig 5C). The in silico analyses indicated the highest incidence for Hyd8 to form rodlet structures well supporting this hydrophobin as the major aerial hyphae coating molecule (Fig 4A). The remaining tertiary structures might instead be involved in hypha-hypha contact, host interaction or contact to other surfaces.

Download:

Fig 5. Predictions of possible assembly of six Hyd8 proteins showing the six proteins, amino acids coloured depending on properties and a located/postulated structure.

Beside the six proteins in different colours, amino acids coloured depending on properties: yellow—hydrophobic, dark yellow—amphipathic, orange—polar, red—negatively charged, brown—positively charged. (A) A ring structure with 7 nm in diameter similar to HGFI from Grifola frondosa [17], (B) a plus-like structure which results in a 15 nm diameter if four plus structures are combined and (C) packing arrangement to a sheet-like layer such as HFBII from Trichoderma reesei [21].

https://doi.org/10.1371/journal.pone.0167773.g005

Host recognition

T. vaccinum undergoes mutualistic symbiotic interactions with conifers, predominantly spruce and rarely pine. This interaction involves the close contact of plant and fungal surfaces in the soil environment. Hydrophobin expression patterns in response to root exudates, root volatiles and in mycorrhizal root tips of P. abies and P. sylvestris were obtained. Depending on the host plant, significant differences in expression profiles of hydrophobins were observed (Fig 4B–4E). For an early recognition of a potential host, root exudates induced hyd4, while hyd9 was repressed with both hosts (Fig 4B). Compounds found on a regular basis within root exudates, IAA and ethanol, were tested and a significant induction was observed for hyd8 and hyd5 with ethanol at physiologically relevant concentrations of 0.01% and/or IAA (Fig 4C). Statistically significant induction was additionally detected for hyd3 at 0.01 and 0.001 mM IAA. For hyd4, the highest induction was observed for ethanol, significantly decreasing with IAA addition.

Closer contact to the tree host was tested using root volatiles. This treatment led to an induction of hyd5 with both hosts (Fig 4D). The gene hyd4 was induced near P. abies, which is in contrast to the spruce root exudates tested above. After mycorrhiza was established, hyd5 was induced in both interactions with significantly higher induction for the preferred host P. abies (Fig 4E). In addition, the aerial hyphae hydrophobin genes hyd8 and hyd9 were repressed.

Fruiting body formation

T. vaccinum can produce fruiting bodies only in contact with a host tree. Therefore, we examined fruiting bodies collected near Jena. The homology of the fruiting body ITS sequence (KT315517) was 99% compared to T. vaccinum (FJ845444) and 92% for T. vaccinum GK6514 (AY573538) reflecting the known divergency within one species (see discussion). We examined all nine hydrophobin genes (without amplificates for hyd6 and hyd9) and compared their expression to non-mycorrhizal mycelium of T. vaccinum GK6514 grown on compost soil to obtain patterns specific to fruiting body tissues and not responsive to the soil environment. Induction of hyd3 and hyd8 was detected (Fig 4F) with 93% and 87% sequence identity to T. vaccinum GK6514 Hyd3 and Hyd8 (Supporting Figure 4 in S1 File).

Metal response in T. vaccinum

Metal stress was tested, since cell wall adsorption could link metal tolerance to the cell surface and hence hydrophobins covering the hyphae. Exposure for 24 h was chosen to avoid morphological changes, e.g. production of aerial mycelium in long term cultivation. In all treatments, hyd5 was induced, with significant differences between calcium and copper treatments and between nickel and cadmium treatments (Fig 6). For cadmium treated mycelium, a general induction of hydrophobin genes (hyd1, hyd3, hyd4, hyd5 and hyd7) was seen. A specific reduction of hyd9 was visible for the copper treatment.

Download:

Fig 6. Relative expression levels of hydrophobin transcripts in mycelium treated with metals for 24 hours in liquid culture.

Bars denote standard error. All values are fold changes compared to a control in liquid medium; significance level * P < 0.05, ** P < 0.005, *** P < 0.005.

https://doi.org/10.1371/journal.pone.0167773.g006

Discussion

Throughout the life cycle of T. vaccinum, the nine hydrophobin genes are differentially expressed (Fig 4). The total number corresponds to eight genes with T. matsutake or nine with L. bicolor 81306, while L. bicolor S238N-H82 carries twelve hydrophobin genes [28]. The latter fungus, however, has been found to also contain a high number of transposable elements accelerating evolution [28]. Differential expression of, among others, hydrophobin genes has been observed by Plett et al. [28], which led the authors to conclude that the hydrophobin gene family might have evolved with multiple members to aid the symbiotic lifestyle of ectomycorrhizal fungi. However, the number of hydrophobin genes in the first fungal species in which hydrophobins have been described, the white rot saprophytic basidiomycete S. commune, is even larger with 12 hydrophobin encoding genes [65]. The number of branches in our phylogenetic tree (Fig 2) indeed is high which might, just as indicated by Plett et al. [28], be a result of co-evolution in plant symbiosis.

The lowering of the surface tension by hydrophobins correlated with a role in aerial mycelium as shown for the S. commune aerial hyphae hydrophobin Sc3. Specifically for the up-regulated hyd8, hydrophobicity plots showed a similarity (Supporting Figure 3 in S1 File) that might indicate a similar function. The deletion of sc3 in S. commune resulted in a flat phenotype [22], comparable to the substrate mycelium growing on compost soil with repressed hyd8 supporting a functioning in aerial mycelium formation for this hydrophobin.

The regulation of hyd4 and hyd5 reflected host preference. In early steps of mycorrhization, after recognition of a potential host through root exudates, hyd4 was induced (Fig 4B). This answer is refined in close contact through root volatiles, where only the preferred host induced hyd4 and significantly improved hyd5 expression (Fig 4D). The hydrophobin expression profiles of hyd4 and hyd5 with respect to host specificity could explain, as one factor in the complex gene regulation, the differences in duration for host colonization with different host trees, i.e. few weeks for development of compatible mycorrhiza and three to four months for low compatibility interactions (Fig 4E). With respect to host specificity, the regulation of hyd4 through exudates may be linked to plant defence.

The net charge profile of Hyd4 (Supporting Figure 6 in S1 File), indicative of surface charge, was similar to that observed for P. tinctorius HydPt-1 also regulated early in mycorrhization [66]. The changes in the pH versus net charge profile may be linked to a function in the adaptation of the hyphal surface to the prevailing conditions in the rhizosphere, where steep gradients from acidic root surfaces to soil occur [67, 68]. The regulatory motif for Rim101, known from Saccharomyces cerevisiae for adaptation to alkaline conditions, and from A. nidulans PacC involved in pH response, might be associated with transcription factor binding in T. vaccinum as well. Additionally, the hydrophobicity pattern and phylogenetic analysis of Hyd5 showed similarity to LbH9 of L. bicolor [28] and Hyd1 of T. terreum (Fig 2 [69]).

The final step in the life cycle of a mycorrhizal fungus is the production of fruiting bodies as place of sexual spore formation. Hydrophobins like S. commune Sc4 are specifically expressed in fruiting bodies to avoid water clogging of gas channels [70]. Similarity to T. vaccinum proteins is seen with hydrophobicity patterns of Hyd3 and Hyd8 (Supporting Figure 3 in S1 File), both induced in fruiting bodies (Fig 4F). The role of Hyd8 in general decoration of aerial hyphae would be in line with decorating the aerial hyphae of the pileus. Since only fruiting bodies, not all aerial mycelium, contain gas channels, the differential expression pattern of Hyd3 would coincide with its lining gas channels within fruiting bodies.

The ability of hydrophobins to form rodlet structures was connected with decoration of hyphae. Using in silico analysis, the potential formation of three distinct structures by all hydrophobins of T. vaccinum was demonstrated (Fig 5). Interestingly, one region of the hydrophobins was highly variable and could be decisive to create hydrophobins with different properties in evolution (Supporting Figure 8 in S1 File). The proteins with the longest variable bend were the aerial mycelium induced hydrophobins (genes hyd3, hyd4, hyd8) and Hyd9 (Supporting Figure 8 in S1 File). The main aerial hydrophobin with the longest bend, Hyd8, was shown to potentially form rodlets of expected sizes from ring-like structures [24]. Rodlets of the plus-like structures are more complex, with four of these subunits assembling to one layer and then forming rodlets by stacking (Fig 5B). For the N. crassa protein Eas, stacking by the Cys3-Cys4 loop was shown to allow rodlet formation [23]. However, the T. vaccinum Cys3-Cys4 loop seems too short for the interaction and stacking like in Eas. The third prediction shows similarity to the crystal structure of HFBII, which forms a sheet-like layer (Fig 5C [21]). The result is a two dimensional network of proteins which could occur, for example, at an interface where its viscoelastic properties could add to the stability of adhesion. As with many different hydrophobin arrangements observed [20], the T. vaccinum hydrophobins represent a modular system to establish contact between surfaces.

Mycorrhizal fungi are able to enhance metal resistance of their host [71]. During metal exposure, regulation of hydrophobin gene expression had been shown before [31, 72, 73]. Potentially, protection of the hyphae by increasing hydrophobicity and hence lowering uptake of toxic metals through Hyd5 could play a role (Fig 6).

The ancestral host with ectomycorrhiza has been debated for some time. For Tricholoma, we could show that an angiosperm plant is the likely ancestral host as Fagus and Quercus were revealed by two independent methods to be the likely ancestral host trees (Supporting Figure 7 in S1 File). Prior studies postulated independent origins for ECM with angiosperms and gymnosperms [74]. Host changes and loss of symbiosis have occurred repeatedly within the Agaricales [75]. Surface interactions with the host through hydrophobins, located at the interface between plant and fungus, are likely involved in host switching. Adaptation to a host might be the cause for nucleotide changes in the Hyd5 group after gene amplification. The hyd4 sequences showed even higher numbers of exchanges between different members of this subgroup (see Fig 2), which implies that the first root contact needs less adaption as it seems based on a less conserved hydrophobin function. Both Hyd4 and Hyd5, in contrast to general hydrophobins Hyd1 or Hyd8, showed accelerated evolution (d_n/d_s > 1) and a relaxed or positive selection, e.g. for host adaption. As seen earlier [7], ITS sequence divergence between T. vaccinum isolates was found; in this study T. vaccinum below P. abies near Jena (Germany) and T. vaccinum FJ845444 from Canada is 1%, while 8% were found between T. vaccinum GK6514 and a strain (AY573538) from Nassreith, Austria.

Our extensive expression profiling thus could provide insight into the evolution and function of hydrophobins. It suggests an important role of the different hydrophobins for aerial mycelium, fruiting body and ectomycorrhiza establishment and functioning (Fig 7).

Download:

Fig 7. Summary of differentially expressed hydrophobins in life cycle of T. vaccinum.

https://doi.org/10.1371/journal.pone.0167773.g007

Supporting Information

S1 File.

S1 Table. Tricholoma species used. S2 Table. NCBI accession numbers of hydrophobin gene sequences. S3 Table. Oligonucleotides used. S4 Table. Host preference in Tricholoma species. S5 Table. C-score values of the 3D structure prediction via I-TASSER. S1 Fig. Experimental setup of fungus-root-interaction. (A) Root exudates collection system using a sterile pipette tip box: a seedling (P. abies or P. sylvestris), b 20% MMNa solution (B) Split Petri dish system for volatile experiment: a seedling (P. abies or P. sylvestris), b fungus (T. vaccinum), c MMNa, d half concentrated MMNb, e cellophane membrane, f 2nd Petri dish to inclose possible volatiles. (C) Axenic Petri dish system to synthesize ectomycorrhiza: a seedling (P. abies or P. sylvestris), b fungus (T. vaccinum), c MMNa, d open area, e cellophane membrane. S2 Fig. Regulation of the reference genes act1 and tef1. Fold changes of relative expression after cultivation for either 16 days (a) or 32 days (b) on Pachlewski [39], Moser B [40], BAF [41] and ½ concentrated MMNb media. S3 Fig. Hydrophobicity plot of hydrophobins from T. vaccinum. (A) Hydrophobins are compared to class I (B) with Sc3 of Schizophyllum commune (P16933), Eas of Neurospora crassa (AAB24462) and DewA of Aspergillus nidulans (P52750) and class II (C) with Hfb2 of Trichoderma reesei (P79073), ZtH1 of Zymoseptoria tritici (XP_003849840) and NC2 of N. crassa (4AOG_A). S4 Fig. Hydrophobin alignment. Secretion signal peptides and signal sequence proteases are indicated by a triangle, identical amino acids shaded in grey, conservative exchanges outlined in black. S5 Fig. Consensus phylogram of basidiomycete hydrophobins. Gene and protein sequences (protein IDs according to JGI annotations and NCBI accession numbers) are used from Tricholoma vaccinum (red), Tricholoma matsutake, Tricholoma terreum, Coprinopsis cinerea, Heterobasidion annosum, Schizophyllum commune, Pisolithus tinctorius, Laccaria bicolor and Paxillus involutus. Bayesian posterior probability values are shown above corresponding branches; branch lengths are proportional to evolutionary distances. The class II PbHyd2 from the ascomycete Paracoccidioides brasiliensis was included as outgroup. S6 Fig. The pH versus net charge (Z) plots of hydrophobins. T. vaccinum (TvHyd: AHZ18297, AHZ18298, AHZ18299, AHZ18300, AHZ18301, AHZ18303, AHZ18304, AHZ18305), T. matsutake (TmHyd: 1252927, 1291850, 1386086, 1383591, 1422529, 254042, 1403957, 1383622), P. tinctorius (Hyd-Pt1 P52748), S. commune (Sc3 P16933), L. bicolor (LbHyd9 XP_001885701), and H. annosum (Hah2 ABA46363). S7 Fig. A consensus phylogram of Tricholoma species based on ITS sequences from NCBI and UNITE. Marked are the three groups which represent fruiting body cap colour in brown, yellow, and grey. In addition the host-mycobiont status is given in the matrix on the right: compatible in green, low compatibility in light yellow, incompatible in white, unknown status in grey. Bayesian posterior probability values are shown above corresponding branches. Branch lengths are proportional to evolutionary distances. The species T. stiparophyllum was set as outgroup. S8 Fig. Multiple 3D alignment of hydrophobins calculated by Matras. (A) Multiple alignment of protein sequences with the average amino acid sequence (Avg. Seq., small letters represent consensus with threshold of 50–99%, capital letters represent 100% consensus), their location on the surface (O) or inside (I) the protein and average secondary structure (Sec. Str.: H, α-helix; T, hydrogen bonded turn; S, bend and C, any residue that does not belong to any of the previous groups) and (B) superimposed structure of all nine hydrophobins of T. vaccinum; left lateral view, right top view. Coloured regions in A and B show similarity in tertiary structure. Position of variable bend, F54 (active in plus-like structure) and F86 (active in ring-like structure) are labelled bold for Hyd8.

https://doi.org/10.1371/journal.pone.0167773.s001

(PDF)

Acknowledgments

The hydrophobin sequence data of T. matsutake 945 v3.0 were produced by the US Department of Energy Joint Genome Institute http://www.jgi.doe.gov/ in collaboration with the user community. We thank Dorit Surek for her contribution of Tricholoma hydrophobin sequences.

Author Contributions

Conceptualization: DS KK MG KW EK.
Formal analysis: DS KK MG KW EK.
Funding acquisition: EK.
Investigation: DS KK MG KW EK.
Methodology: DS KK MG KW EK.
Project administration: KK EK.
Resources: DS KK MG KW EK.
Supervision: KK EK.
Validation: DS KK MG KW EK.
Visualization: DS KK MG KW EK.
Writing – original draft: DS KK MG KW EK.
Writing – review & editing: DS KK MG KW EK.

References

1. Wiemken V, Boller T Ectomycorrhiza: gene expression, metabolism and the wood-wide web. Curr Opin Plant Biol. 2002;5(4): 355–361 pmid:12179971
- View Article
- PubMed/NCBI
- Google Scholar
2. Kothe E, Schlunk I, Senftleben D, Krause K. Ectomycorrhiza-specific gene expression. In: Kempken F, editor. The Mycota XI, Agricultural Applications. 2nd edition, Springer, Berlin, Germany; 2013. pp. 295–312.
3. Tagu D, Martin F. Expressed sequence tags of randomly selected cDNA clones from Eucalyptus globulus-Pisolithus tinctorius ectomycorrhiza. Mol Plant-Microbe Interact. 1995;8: 781–783. pmid:7579623
- View Article
- PubMed/NCBI
- Google Scholar
4. Raudaskoski M, Kothe E. Novel findings on the role of signal exchange in arbuscular and ectomycorrhizal symbioses. Mycorrhiza. 2014;25: 243–252. pmid:25260351
- View Article
- PubMed/NCBI
- Google Scholar
5. Wagner K, Krause K, Kothe E. Chemical communication between soil microorganisms, basidiomycetes and their tree host in the mycorrhizosphere. Endocyt Cell Res. 2016;27 (2): 47–55.
- View Article
- Google Scholar
6. Kriegelsteiner GJ. Die Großpilze Baden-Württembergs. Band 3, Verlag Eugen Ulmer. Stuttgart, Germany; 2001.
7. Mankel A, Kost G, Kothe E. Re-evaluation of the phylogenetic relationship among species of the genus Tricholoma. Microbiol Res. 1999;153: 377–388. pmid:10052159
- View Article
- PubMed/NCBI
- Google Scholar
8. Asiimwe T, Krause K, Schlunk I, Kothe E. Modulation of ethanol stress tolerance by aldehyde dehydrogenase in the mycorrhizal fungus Tricholoma vaccinum. Mycorrhiza. 2012;22: 471–484. pmid:22159964
- View Article
- PubMed/NCBI
- Google Scholar
9. Krause K, Kothe E. Use of RNA fingerprinting to identify fungal genes specifically expressed during ectomycorrhizal interaction. J Basic Microbiol. 2006;46: 387–399. pmid:17009294
- View Article
- PubMed/NCBI
- Google Scholar
10. Ahonen-Jonnarth U, van Hees PAW, Lundström US, Finlay RD. Organic acids produced by mycorrhizal Pinus sylvestris exposed to elevated aluminium and heavy metal concentrations. New Phytol. 2000;146: 557–567.
- View Article
- Google Scholar
11. Sandnes A, Eldhuset TD, Wollebæk G. Organic acids in root exudates and soil solution of Norway spruce and silver birch. Soil Biol Biochem. 2005;37: 259–269.
- View Article
- Google Scholar
12. Neumann G, Römheld V. The release of root exudates as effected by the plant physiological status. In: Pinton R, Varanini Z, Nannipieri Z, editors. Rhizosphere: Biochemistry and organic substances at the soil-plant interface. Boca Raton, FL; CRC Press, 2nd edition; 2007.
13. Henke C, Kunert M, Veit D, Kunert G, Krause K, Kothe E, Boland W. Analysis of volatiles from Picea abies triggered by below-ground interactions. Environ Exp Bot. 2015;110: 56–61.
- View Article
- Google Scholar
14. Ditengou FA, Müller A, Rosenkranz M, Felten J, Lasok H, Miloradovic van Doorn M, Legue´ V, Palme K, Schnitzler J-P, Polle A. Volatile signalling by sesquiterpenes from ectomycorrhizal fungi reprogrammes root architecture. Nat Commun. 2015;6279: 1–15.
- View Article
- Google Scholar
15. Krause K, Henke C, Asiimwe T, Ulbricht A, Klemmer S, Schachtschabel D, Boland W, Kothe E. Indole-3-acetic acid biosynthesis, secretion, and its morphological effects on Tricholoma vaccinum-spruce ectomycorrhiza. Appl Environ Microbiol. 2015;81(20): 7003–11.
- View Article
- Google Scholar
16. Wösten HA, de Vries OM, Wessels JG. Interfacial self-assembly of a fungal hydrophobin into a hydrophobic rodlet layer. Plant Cell. 1993;5: 1567–1574. pmid:12271047
- View Article
- PubMed/NCBI
- Google Scholar
17. Hektor HJ, Scholtmeijer K. Hydrophobins: proteins with potential. Curr Opin Biotechnol. 2005;16(4): 434–9. pmid:15950452
- View Article
- PubMed/NCBI
- Google Scholar
18. Wösten HA. Hydrophobins: multipurpose proteins. Annu Rev Microbiol. 2001;55: 625–46. pmid:11544369
- View Article
- PubMed/NCBI
- Google Scholar
19. Yu L, Zhang B, Szilvay G R, Sun R, Jänis J, Wang Z, Feng S, Xu H, Linder M B, Qiao M. Protein HGFI from the edible mushroom Grifola frondosa is a novel 8 kDa class I hydrophobin that forms rodlets in compressed monolayers. Microbiology 2008;154: 1677–1685. pmid:18524922
- View Article
- PubMed/NCBI
- Google Scholar
20. Hakanpää J, Paananen A, Askolin S, Nakari-Setälä T, Parkkinen T, Penttilä M, Linder MB, Rouvinen J. Atomic resolution structure of the HFBII hydrophobin, a self-assembling amphiphile. J Biol Chem. 2004;279: 534–539. pmid:14555650
- View Article
- PubMed/NCBI
- Google Scholar
21. Kallio J M, Linder MB, Rouvinen J. Crystal structures of hydrophobin HFBII in the presence of detergent implicate the formation of fibrils and monolayer films. J Biol Chem. 2007;282: 28733–28739. pmid:17636262
- View Article
- PubMed/NCBI
- Google Scholar
22. van Wetter MA, Schuren FH, Schuurs TA, Wessels JG. Targeted mutation of the SC3 hydrophobin gene of Schizophyllum commune affects formation of aerial hyphae. FEMS Microbiol Lett. 1996;140: 265–269.
- View Article
- Google Scholar
23. Macindoe I, Kwan AH, Ren Q, Morris VK, Yang W, Mackay JP, Sunde M. Self-assembly of functional, amphipathic amyloid monolayers by the fungal hydrophobin EAS. Proc Natl Acad Sci USA. 2012;109: E804–E811. pmid:22308366
- View Article
- PubMed/NCBI
- Google Scholar
24. Beever RE, Redgwell RJ, Dempsey GP. Purification and chemical characterization of the rodlet layer of Neurospora crassa conidia. J Bacteriol. 1979;140: 1063–1070. pmid:160407
- View Article
- PubMed/NCBI
- Google Scholar
25. de Vocht ML, Scholtmeijer K, van der Vegte EW, de Vries OM, Sonveaux N, Wösten HA, Ruysschaert J-M, Hadziioannou G, Wessels JG, Robillard GT. Structural characterization of the hydrophobin SC3, as a monomer and after self-assembly at hydrophobic/hydrophilic interfaces. Biophys J. 1998;74: 2059–2068. pmid:9545064
- View Article
- PubMed/NCBI
- Google Scholar
26. Mankel A, Krause K, Kothe E. Identification of a hydrophobin gene that is developmentally regulated in the ectomycorrhizal fungus Tricholoma terreum. Appl Environ Microbiol. 2002;68: 1408–1413. pmid:11872494
- View Article
- PubMed/NCBI
- Google Scholar
27. Wessels J, De Vries O, Asgeirsdottir SA, Schuren F. Hydrophobin genes involved in formation of aerial hyphae and fruit bodies in Schizophyllum. Plant Cell. 1991;3(8): 793–799. pmid:12324614
- View Article
- PubMed/NCBI
- Google Scholar
28. Plett JM, Gibon J, Kohler A, Duffy K, Hoegger PJ, Velagapudi R, Han J, Kües U, Grigoriev IV, Martin F. Phylogenetic, genomic organization and expression analysis of hydrophobin genes in the ectomycorrhizal basidiomycete Laccaria bicolor. Fungal Genet Biol. 2012;49: 199–209. pmid:22293303
- View Article
- PubMed/NCBI
- Google Scholar
29. Rajashekar B, Samson P, Johansson T, Tunlid A. Evolution of nucleotide sequences and expression patterns of hydrophobin genes in the ectomycorrhizal fungus Paxillus involutus. New Phytol. 2007;174: 399–411. pmid:17388902
- View Article
- PubMed/NCBI
- Google Scholar
30. Honegger R. Functional aspects of the lichen symbiosis. Annu Rev Plant Biol. 1991;42: 553–578.
- View Article
- Google Scholar
31. Jacob C, Courbot M, Martin F, Brun A, Chalot M. Transcriptomic responses to cadmium in the ectomycorrhizal fungus Paxillus involutus. FEBS Lett. 2004;576: 423–427. pmid:15498573
- View Article
- PubMed/NCBI
- Google Scholar
32. Linder MB. Hydrophobins: proteins that self assemble at interfaces. Curr Opin Colloid Interface Sci. 2009;14: 356–363.
- View Article
- Google Scholar
33. Mgbeahuruike CA, Kovalchuk A, Asiegbu FO. Comparative genomics and evolutionary analysis of hydrophobins from three species of wood-degrading fungi. Mycologia. 2013;105 (6): 1471–1478. pmid:23928416
- View Article
- PubMed/NCBI
- Google Scholar
34. Wagner K, Linde J, Krause K, Gube M, Köstler T, Sammer D, Kniemeyer O, Kothe E. Tricholoma vaccinum host communication during ectomycorrhiza formation. FEMS Microbiol Ecol. 2015 91(11):fiv120. pmid:26449385
- View Article
- PubMed/NCBI
- Google Scholar
35. White T J, Bruns T, Lee S, Taylor J. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. PCR protocols: a guide to methods and applications. 1990;18: 315–322.
- View Article
- Google Scholar
36. Kottke I, Guttenberger M, Hampp R, Oberwinkler F. An in vitro method for establishing mycorrhizae on coniferous tree seedlings. Trees. 1987;1: 191–194.
- View Article
- Google Scholar
37. Wadhwa K, Narula N. A novel technique to collect root exudates from mustard (Brassica juncea). J Basic Microbiol. 2012; 52 (5): 613–615. pmid:22144042
- View Article
- PubMed/NCBI
- Google Scholar
38. Erdmann S, Freihorst D, Raudaskoski M, Schmidt-Heck W, Jung E-M, Senftleben D, Kothe E. Transcriptome and functional analysis of mating in the basidiomycete Schizophyllum commune. Eukaryot Cell. 2012;11: 571–589. pmid:22210832
- View Article
- PubMed/NCBI
- Google Scholar
39. Pachlewski R, Pachlewska J. 1974. Studies on symbiotic properties of mycorrhizal fungi of pine (Pinus sylvestris L.) with the aid of the method of mycorrhizal synthesis in pure cultures on agar. Research Institute Warsaw. Vol. 1, pp. 228–235.
40. Moser M. Die künstliche Mykorrhizierung an Forstpflanzen. Forstwiss. Zentralbl. 1958;77: 32–40.
- View Article
- Google Scholar
41. Moser M. 1960. Die Gattung Phlegmacium. Die Pilze Mitteleuropas. Vol. 4. J. Klinkhardt, Bad Heilbrunn, Austria, p. 440.
42. Pfaffl MW. Real-time RT-PCR: Neue Ansätze zur exakten mRNA Quantifizierung. BIOspektrum. 2004;1: 92–95.
- View Article
- Google Scholar
43. 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: 0034.1–0034.11.
- View Article
- Google Scholar
44. Cenis J. Rapid extraction of fungal DNA for PCR amplification. Nucl Acids Res. 1992;20: 2380. pmid:1594460
- View Article
- PubMed/NCBI
- Google Scholar
45. Innis MA, Gelfand DH, Sninsky JJ, White TJ. PCR protocols: a guide to methods and applications. San Diego, CA: Academic press; 2012.
46. Katoh K, To H. Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinform. 2008;9: 286–298. pmid:18372315
- View Article
- PubMed/NCBI
- Google Scholar
47. Huelsenbeck JP, Ronquist F. MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001;17: 754–755. pmid:11524383
- View Article
- PubMed/NCBI
- Google Scholar
48. Ronquist F, Huelsenbeck JP. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003;19: 1572–1574. pmid:12912839
- View Article
- PubMed/NCBI
- Google Scholar
49. Meade A, Pagel M. BayesTraits V2. 2014; http://www.evolution.rdg.ac.uk/BayesTraits.html/ Accessed 06/2016.
50. Rambaut A, Drummond AJ. Tracer v1.5. 2009. http://tree.bio.ed.ac.uk/software/tracer/. Accessed 11/2011.
51. Rambaut A. FigTree v1.3.1. 2009; http://tree.bio.ed.ac.uk/software/figtree/ Accessed 11/2011.
52. Creevey C, McInerney O. CRANN software available 2003; http://bioinf.nuim.ie/crann/ Accessed 06/2016
53. Gasteiger E, Hoogland C, Gattiker A, Duvaud S, Wilkins MR, Appel RD, Bairoch A. Protein Identification and Analysis Tools on the ExPASy Server 2005; available: http://web.expasy.org/protscale/ Accessed 06/2016.
- View Article
- Google Scholar
54. Kyte J, Doolittle RF. A simple method for displaying the hydropathic character of a protein. J Mol Biol. 1982;157: 105–132. pmid:7108955
- View Article
- PubMed/NCBI
- Google Scholar
55. Bendtsen JD, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: SignalP 3.0.J. Mol Biol. 2004;340: 783–795. Available: http://www.cbs.dtu.dk/services/SignalP-3.0/ Accessed 06/2016. pmid:15223320
- View Article
- PubMed/NCBI
- Google Scholar
56. 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(6): e67008. Available: http://www.imtech.res.in/raghava/glycoep/submit.html/ Accessed 06/2016. pmid:23840574
- View Article
- PubMed/NCBI
- Google Scholar
57. Yang J, Yan R, Roy A, Xu D, Poisson J, Zhang Y. The I-TASSER Suite: Protein structure and function prediction. 2015; available: http://zhanglab.ccmb.med.umich.edu/I-TASSER/ Accessed 06/2016.
- View Article
- Google Scholar
58. Morris VK, Kwan AH, Sunde M. Analysis of the structure and conformational states of DewA gives insight into the assembly of the fungal hydrophobins. J Mol Biol. 2013;425: 244–256. pmid:23137797
- View Article
- PubMed/NCBI
- Google Scholar
59. Hakanpää J, Linder M, Popov A, Schmidt A, Rouvinen J. Hydrophobin HFBII in detail: ultrahigh-resolution structure at 0.75 Å. Acta Crystallogr, Sect. D: Biol. Crystallogr. 2006;62: 356–367.
- View Article
- Google Scholar
60. Kwan A, Winefield R, Sunde M, Matthews J, Haverkamp R, Templeton M, Mackay J. Structural basis for rodlet assembly in fungal hydrophobins. Proc Natl Acad Sci USA. 2006;103: 3621–3626. pmid:16537446
- View Article
- PubMed/NCBI
- Google Scholar
61. Dominguez C, Boelens R, Bonvin AMJJ. HADDOCK: a protein-protein docking approach based on biochemical and/or biophysical information. 2003; Available: http://haddocking.org/ Accessed 06/2016. pmid:12580598
- View Article
- PubMed/NCBI
- Google Scholar
62. Kawabata T. MATRAS: a program for protein 3D structure comparison. 2003; Available: http://strcomp.protein.osaka-u.ac.jp/matras/ Accessed 06/2016.
- View Article
- Google Scholar
63. Bailey TL, Johnson J, Grant CE, Noble WS. MEME suite. 2015; http://meme-suite.org/tools/meme/ Accessed 06/2016.
64. Bailey TL, Bodén M, Buske FA, Frith M, Grant CE, Clementi L, Ren J, Li WW, Noble WS, MEME SUITE: tools for motif discovery and searching. 2009; Available: http://meme-suite.org/tools/tomtom/ Accessed 06/2016.
- View Article
- Google Scholar
65. Ohm RA, de Jong JF, Lugones LG, Aerts A, Kothe E, Stajich JE. Genome sequence of the model mushroom Schizophyllum commune. Nat Biotechnol. 2010; 28: 957–963. pmid:20622885
- View Article
- PubMed/NCBI
- Google Scholar
66. Tagu D, Nasse B, Martin F. Cloning and characterization of hydrophobins-encoding cDNAs from the ectomycorrhizal basidiomycete Pisolithus tinctorius. Gene. 1996;168: 93–97. pmid:8626073
- View Article
- PubMed/NCBI
- Google Scholar
67. Rigou L, Mignard E, Plassard C, Arvieu J, Remy J. Influence of ectomycorrhizal infection on the rhizosphere pH around roots of maritime pine (Pinus pinaster Soland in Ait.). New Phytol. 1995;130: 141–147.
- View Article
- Google Scholar
68. Wang Z, Lienemann M, Qiau M, Linder MB. Mechanisms of protein adhesion on surface films of hydrophobin. Langmuir 2010;26: 8491–8496. pmid:20438113
- View Article
- PubMed/NCBI
- Google Scholar
69. Mankel A, Krause K, Genenger M, Kost G, Kothe E. A hydrophobin accumulated in the Hartig'net of ectomycorrhiza formed between Tricholoma terreum and its compatible host tree is missing in an incompatible association. J Appl Bot. 2000;74: 95–99.
- View Article
- Google Scholar
70. van Wetter MA, Wösten HA, Wessels JG. SC3 and SC4 hydrophobins have distinct roles in formation of aerial structures in dikaryons of Schizophyllum commune. Mol Microbiol. 2000;36: 201–210. pmid:10760177
- View Article
- PubMed/NCBI
- Google Scholar
71. Jentschke G, Godbold D. Metal toxicity and ectomycorrhizas. Physiol Plant. 2000;109: 107–116.
- View Article
- Google Scholar
72. Chuang H-W, Wang I-W, Lin S-Y, Chang Y-L. Transcriptome analysis of cadmium response in Ganoderma lucidum. FEMS Microbiol Lett. 2009;293: 205–213. pmid:19239493
- View Article
- PubMed/NCBI
- Google Scholar
73. Jarosz‐Wilkołazka A, Malarczyk E, Pirszel J, Skowroński T, Leonowicz A. Uptake of cadmium ions in white‐rot fungus Trametes versicolor: effect of Cd (ii) ions on the activity of laccase. Cell Biol Int. 2002;26: 605–613. pmid:12127940
- View Article
- PubMed/NCBI
- Google Scholar
74. Hibbett DS, Matheny PB. The relative ages of ectomycorrhizal mushrooms and their plant hosts estimated using Bayesian relaxed molecular clock analyses. BMC Biol. 2009;7: 13. pmid:19284559
- View Article
- PubMed/NCBI
- Google Scholar
75. Hibbett DS, Gilbert L-B, Donoghue MJ. Evolutionary instability of ectomycorrhizal symbioses in basidiomycetes. Nature. 2000;407: 506–508. pmid:11029000
- View Article
- PubMed/NCBI
- Google Scholar

[ref1] 1. Wiemken V, Boller T Ectomycorrhiza: gene expression, metabolism and the wood-wide web. Curr Opin Plant Biol. 2002;5(4): 355–361 pmid:12179971
View Article
PubMed/NCBI
Google Scholar

[2] View Article

[3] PubMed/NCBI

[4] Google Scholar

[ref2] 2. Kothe E, Schlunk I, Senftleben D, Krause K. Ectomycorrhiza-specific gene expression. In: Kempken F, editor. The Mycota XI, Agricultural Applications. 2nd edition, Springer, Berlin, Germany; 2013. pp. 295–312.

[ref3] 3. Tagu D, Martin F. Expressed sequence tags of randomly selected cDNA clones from Eucalyptus globulus-Pisolithus tinctorius ectomycorrhiza. Mol Plant-Microbe Interact. 1995;8: 781–783. pmid:7579623
View Article
PubMed/NCBI
Google Scholar

[7] View Article

[8] PubMed/NCBI

[9] Google Scholar

[ref4] 4. Raudaskoski M, Kothe E. Novel findings on the role of signal exchange in arbuscular and ectomycorrhizal symbioses. Mycorrhiza. 2014;25: 243–252. pmid:25260351
View Article
PubMed/NCBI
Google Scholar

[11] View Article

[12] PubMed/NCBI

[13] Google Scholar

[ref5] 5. Wagner K, Krause K, Kothe E. Chemical communication between soil microorganisms, basidiomycetes and their tree host in the mycorrhizosphere. Endocyt Cell Res. 2016;27 (2): 47–55.
View Article
Google Scholar

[15] View Article

[16] Google Scholar

[ref6] 6. Kriegelsteiner GJ. Die Großpilze Baden-Württembergs. Band 3, Verlag Eugen Ulmer. Stuttgart, Germany; 2001.

[ref7] 7. Mankel A, Kost G, Kothe E. Re-evaluation of the phylogenetic relationship among species of the genus Tricholoma. Microbiol Res. 1999;153: 377–388. pmid:10052159
View Article
PubMed/NCBI
Google Scholar

[19] View Article

[20] PubMed/NCBI

[21] Google Scholar

[ref8] 8. Asiimwe T, Krause K, Schlunk I, Kothe E. Modulation of ethanol stress tolerance by aldehyde dehydrogenase in the mycorrhizal fungus Tricholoma vaccinum. Mycorrhiza. 2012;22: 471–484. pmid:22159964
View Article
PubMed/NCBI
Google Scholar

[23] View Article

[24] PubMed/NCBI

[25] Google Scholar

[ref9] 9. Krause K, Kothe E. Use of RNA fingerprinting to identify fungal genes specifically expressed during ectomycorrhizal interaction. J Basic Microbiol. 2006;46: 387–399. pmid:17009294
View Article
PubMed/NCBI
Google Scholar

[27] View Article

[28] PubMed/NCBI

[29] Google Scholar

[ref10] 10. Ahonen-Jonnarth U, van Hees PAW, Lundström US, Finlay RD. Organic acids produced by mycorrhizal Pinus sylvestris exposed to elevated aluminium and heavy metal concentrations. New Phytol. 2000;146: 557–567.
View Article
Google Scholar

[31] View Article

[32] Google Scholar

[ref11] 11. Sandnes A, Eldhuset TD, Wollebæk G. Organic acids in root exudates and soil solution of Norway spruce and silver birch. Soil Biol Biochem. 2005;37: 259–269.
View Article
Google Scholar

[34] View Article

[35] Google Scholar

[ref12] 12. Neumann G, Römheld V. The release of root exudates as effected by the plant physiological status. In: Pinton R, Varanini Z, Nannipieri Z, editors. Rhizosphere: Biochemistry and organic substances at the soil-plant interface. Boca Raton, FL; CRC Press, 2nd edition; 2007.

[ref13] 13. Henke C, Kunert M, Veit D, Kunert G, Krause K, Kothe E, Boland W. Analysis of volatiles from Picea abies triggered by below-ground interactions. Environ Exp Bot. 2015;110: 56–61.
View Article
Google Scholar

[38] View Article

[39] Google Scholar

[ref14] 14. Ditengou FA, Müller A, Rosenkranz M, Felten J, Lasok H, Miloradovic van Doorn M, Legue´ V, Palme K, Schnitzler J-P, Polle A. Volatile signalling by sesquiterpenes from ectomycorrhizal fungi reprogrammes root architecture. Nat Commun. 2015;6279: 1–15.
View Article
Google Scholar

[41] View Article

[42] Google Scholar

[ref15] 15. Krause K, Henke C, Asiimwe T, Ulbricht A, Klemmer S, Schachtschabel D, Boland W, Kothe E. Indole-3-acetic acid biosynthesis, secretion, and its morphological effects on Tricholoma vaccinum-spruce ectomycorrhiza. Appl Environ Microbiol. 2015;81(20): 7003–11.
View Article
Google Scholar

[44] View Article

[45] Google Scholar

[ref16] 16. Wösten HA, de Vries OM, Wessels JG. Interfacial self-assembly of a fungal hydrophobin into a hydrophobic rodlet layer. Plant Cell. 1993;5: 1567–1574. pmid:12271047
View Article
PubMed/NCBI
Google Scholar

[47] View Article

[48] PubMed/NCBI

[49] Google Scholar

[ref17] 17. Hektor HJ, Scholtmeijer K. Hydrophobins: proteins with potential. Curr Opin Biotechnol. 2005;16(4): 434–9. pmid:15950452
View Article
PubMed/NCBI
Google Scholar

[51] View Article

[52] PubMed/NCBI

[53] Google Scholar

[ref18] 18. Wösten HA. Hydrophobins: multipurpose proteins. Annu Rev Microbiol. 2001;55: 625–46. pmid:11544369
View Article
PubMed/NCBI
Google Scholar

[55] View Article

[56] PubMed/NCBI

[57] Google Scholar

[ref19] 19. Yu L, Zhang B, Szilvay G R, Sun R, Jänis J, Wang Z, Feng S, Xu H, Linder M B, Qiao M. Protein HGFI from the edible mushroom Grifola frondosa is a novel 8 kDa class I hydrophobin that forms rodlets in compressed monolayers. Microbiology 2008;154: 1677–1685. pmid:18524922
View Article
PubMed/NCBI
Google Scholar

[59] View Article

[60] PubMed/NCBI

[61] Google Scholar

[ref20] 20. Hakanpää J, Paananen A, Askolin S, Nakari-Setälä T, Parkkinen T, Penttilä M, Linder MB, Rouvinen J. Atomic resolution structure of the HFBII hydrophobin, a self-assembling amphiphile. J Biol Chem. 2004;279: 534–539. pmid:14555650
View Article
PubMed/NCBI
Google Scholar

[63] View Article

[64] PubMed/NCBI

[65] Google Scholar

[ref21] 21. Kallio J M, Linder MB, Rouvinen J. Crystal structures of hydrophobin HFBII in the presence of detergent implicate the formation of fibrils and monolayer films. J Biol Chem. 2007;282: 28733–28739. pmid:17636262
View Article
PubMed/NCBI
Google Scholar

[67] View Article

[68] PubMed/NCBI

[69] Google Scholar

[ref22] 22. van Wetter MA, Schuren FH, Schuurs TA, Wessels JG. Targeted mutation of the SC3 hydrophobin gene of Schizophyllum commune affects formation of aerial hyphae. FEMS Microbiol Lett. 1996;140: 265–269.
View Article
Google Scholar

[71] View Article

[72] Google Scholar

[ref23] 23. Macindoe I, Kwan AH, Ren Q, Morris VK, Yang W, Mackay JP, Sunde M. Self-assembly of functional, amphipathic amyloid monolayers by the fungal hydrophobin EAS. Proc Natl Acad Sci USA. 2012;109: E804–E811. pmid:22308366
View Article
PubMed/NCBI
Google Scholar

[74] View Article

[75] PubMed/NCBI

[76] Google Scholar

[ref24] 24. Beever RE, Redgwell RJ, Dempsey GP. Purification and chemical characterization of the rodlet layer of Neurospora crassa conidia. J Bacteriol. 1979;140: 1063–1070. pmid:160407
View Article
PubMed/NCBI
Google Scholar

[78] View Article

[79] PubMed/NCBI

[80] Google Scholar

[ref25] 25. de Vocht ML, Scholtmeijer K, van der Vegte EW, de Vries OM, Sonveaux N, Wösten HA, Ruysschaert J-M, Hadziioannou G, Wessels JG, Robillard GT. Structural characterization of the hydrophobin SC3, as a monomer and after self-assembly at hydrophobic/hydrophilic interfaces. Biophys J. 1998;74: 2059–2068. pmid:9545064
View Article
PubMed/NCBI
Google Scholar

[82] View Article

[83] PubMed/NCBI

[84] Google Scholar

[ref26] 26. Mankel A, Krause K, Kothe E. Identification of a hydrophobin gene that is developmentally regulated in the ectomycorrhizal fungus Tricholoma terreum. Appl Environ Microbiol. 2002;68: 1408–1413. pmid:11872494
View Article
PubMed/NCBI
Google Scholar

[86] View Article

[87] PubMed/NCBI

[88] Google Scholar

[ref27] 27. Wessels J, De Vries O, Asgeirsdottir SA, Schuren F. Hydrophobin genes involved in formation of aerial hyphae and fruit bodies in Schizophyllum. Plant Cell. 1991;3(8): 793–799. pmid:12324614
View Article
PubMed/NCBI
Google Scholar

[90] View Article

[91] PubMed/NCBI

[92] Google Scholar

[ref28] 28. Plett JM, Gibon J, Kohler A, Duffy K, Hoegger PJ, Velagapudi R, Han J, Kües U, Grigoriev IV, Martin F. Phylogenetic, genomic organization and expression analysis of hydrophobin genes in the ectomycorrhizal basidiomycete Laccaria bicolor. Fungal Genet Biol. 2012;49: 199–209. pmid:22293303
View Article
PubMed/NCBI
Google Scholar

[94] View Article

[95] PubMed/NCBI

[96] Google Scholar

[ref29] 29. Rajashekar B, Samson P, Johansson T, Tunlid A. Evolution of nucleotide sequences and expression patterns of hydrophobin genes in the ectomycorrhizal fungus Paxillus involutus. New Phytol. 2007;174: 399–411. pmid:17388902
View Article
PubMed/NCBI
Google Scholar

[98] View Article

[99] PubMed/NCBI

[100] Google Scholar

[ref30] 30. Honegger R. Functional aspects of the lichen symbiosis. Annu Rev Plant Biol. 1991;42: 553–578.
View Article
Google Scholar

[102] View Article

[103] Google Scholar

[ref31] 31. Jacob C, Courbot M, Martin F, Brun A, Chalot M. Transcriptomic responses to cadmium in the ectomycorrhizal fungus Paxillus involutus. FEBS Lett. 2004;576: 423–427. pmid:15498573
View Article
PubMed/NCBI
Google Scholar

[105] View Article

[106] PubMed/NCBI

[107] Google Scholar

[ref32] 32. Linder MB. Hydrophobins: proteins that self assemble at interfaces. Curr Opin Colloid Interface Sci. 2009;14: 356–363.
View Article
Google Scholar

[109] View Article

[110] Google Scholar

[ref33] 33. Mgbeahuruike CA, Kovalchuk A, Asiegbu FO. Comparative genomics and evolutionary analysis of hydrophobins from three species of wood-degrading fungi. Mycologia. 2013;105 (6): 1471–1478. pmid:23928416
View Article
PubMed/NCBI
Google Scholar

[112] View Article

[113] PubMed/NCBI

[114] Google Scholar

[ref34] 34. Wagner K, Linde J, Krause K, Gube M, Köstler T, Sammer D, Kniemeyer O, Kothe E. Tricholoma vaccinum host communication during ectomycorrhiza formation. FEMS Microbiol Ecol. 2015 91(11):fiv120. pmid:26449385
View Article
PubMed/NCBI
Google Scholar

[116] View Article

[117] PubMed/NCBI

[118] Google Scholar

[ref35] 35. White T J, Bruns T, Lee S, Taylor J. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. PCR protocols: a guide to methods and applications. 1990;18: 315–322.
View Article
Google Scholar

[120] View Article

[121] Google Scholar

[ref36] 36. Kottke I, Guttenberger M, Hampp R, Oberwinkler F. An in vitro method for establishing mycorrhizae on coniferous tree seedlings. Trees. 1987;1: 191–194.
View Article
Google Scholar

[123] View Article

[124] Google Scholar

[ref37] 37. Wadhwa K, Narula N. A novel technique to collect root exudates from mustard (Brassica juncea). J Basic Microbiol. 2012; 52 (5): 613–615. pmid:22144042
View Article
PubMed/NCBI
Google Scholar

[126] View Article

[127] PubMed/NCBI

[128] Google Scholar

[ref38] 38. Erdmann S, Freihorst D, Raudaskoski M, Schmidt-Heck W, Jung E-M, Senftleben D, Kothe E. Transcriptome and functional analysis of mating in the basidiomycete Schizophyllum commune. Eukaryot Cell. 2012;11: 571–589. pmid:22210832
View Article
PubMed/NCBI
Google Scholar

[130] View Article

[131] PubMed/NCBI

[132] Google Scholar

[ref39] 39. Pachlewski R, Pachlewska J. 1974. Studies on symbiotic properties of mycorrhizal fungi of pine (Pinus sylvestris L.) with the aid of the method of mycorrhizal synthesis in pure cultures on agar. Research Institute Warsaw. Vol. 1, pp. 228–235.

[ref40] 40. Moser M. Die künstliche Mykorrhizierung an Forstpflanzen. Forstwiss. Zentralbl. 1958;77: 32–40.
View Article
Google Scholar

[135] View Article

[136] Google Scholar

[ref41] 41. Moser M. 1960. Die Gattung Phlegmacium. Die Pilze Mitteleuropas. Vol. 4. J. Klinkhardt, Bad Heilbrunn, Austria, p. 440.

[ref42] 42. Pfaffl MW. Real-time RT-PCR: Neue Ansätze zur exakten mRNA Quantifizierung. BIOspektrum. 2004;1: 92–95.
View Article
Google Scholar

[139] View Article

[140] Google Scholar

[ref43] 43. 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: 0034.1–0034.11.
View Article
Google Scholar

[142] View Article

[143] Google Scholar

[ref44] 44. Cenis J. Rapid extraction of fungal DNA for PCR amplification. Nucl Acids Res. 1992;20: 2380. pmid:1594460
View Article
PubMed/NCBI
Google Scholar

[145] View Article

[146] PubMed/NCBI

[147] Google Scholar

[ref45] 45. Innis MA, Gelfand DH, Sninsky JJ, White TJ. PCR protocols: a guide to methods and applications. San Diego, CA: Academic press; 2012.

[ref46] 46. Katoh K, To H. Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinform. 2008;9: 286–298. pmid:18372315
View Article
PubMed/NCBI
Google Scholar

[150] View Article

[151] PubMed/NCBI

[152] Google Scholar

[ref47] 47. Huelsenbeck JP, Ronquist F. MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001;17: 754–755. pmid:11524383
View Article
PubMed/NCBI
Google Scholar

[154] View Article

[155] PubMed/NCBI

[156] Google Scholar

[ref48] 48. Ronquist F, Huelsenbeck JP. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003;19: 1572–1574. pmid:12912839
View Article
PubMed/NCBI
Google Scholar

[158] View Article

[159] PubMed/NCBI

[160] Google Scholar

[ref49] 49. Meade A, Pagel M. BayesTraits V2. 2014; http://www.evolution.rdg.ac.uk/BayesTraits.html/ Accessed 06/2016.

[ref50] 50. Rambaut A, Drummond AJ. Tracer v1.5. 2009. http://tree.bio.ed.ac.uk/software/tracer/. Accessed 11/2011.

[ref51] 51. Rambaut A. FigTree v1.3.1. 2009; http://tree.bio.ed.ac.uk/software/figtree/ Accessed 11/2011.

[ref52] 52. Creevey C, McInerney O. CRANN software available 2003; http://bioinf.nuim.ie/crann/ Accessed 06/2016

[ref53] 53. Gasteiger E, Hoogland C, Gattiker A, Duvaud S, Wilkins MR, Appel RD, Bairoch A. Protein Identification and Analysis Tools on the ExPASy Server 2005; available: http://web.expasy.org/protscale/ Accessed 06/2016.
View Article
Google Scholar

[166] View Article

[167] Google Scholar

[ref54] 54. Kyte J, Doolittle RF. A simple method for displaying the hydropathic character of a protein. J Mol Biol. 1982;157: 105–132. pmid:7108955
View Article
PubMed/NCBI
Google Scholar

[169] View Article

[170] PubMed/NCBI

[171] Google Scholar

[ref55] 55. Bendtsen JD, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: SignalP 3.0.J. Mol Biol. 2004;340: 783–795. Available: http://www.cbs.dtu.dk/services/SignalP-3.0/ Accessed 06/2016. pmid:15223320
View Article
PubMed/NCBI
Google Scholar

[173] View Article

[174] PubMed/NCBI

[175] Google Scholar

[ref56] 56. 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(6): e67008. Available: http://www.imtech.res.in/raghava/glycoep/submit.html/ Accessed 06/2016. pmid:23840574
View Article
PubMed/NCBI
Google Scholar

[177] View Article

[178] PubMed/NCBI

[179] Google Scholar

[ref57] 57. Yang J, Yan R, Roy A, Xu D, Poisson J, Zhang Y. The I-TASSER Suite: Protein structure and function prediction. 2015; available: http://zhanglab.ccmb.med.umich.edu/I-TASSER/ Accessed 06/2016.
View Article
Google Scholar

[181] View Article

[182] Google Scholar

[ref58] 58. Morris VK, Kwan AH, Sunde M. Analysis of the structure and conformational states of DewA gives insight into the assembly of the fungal hydrophobins. J Mol Biol. 2013;425: 244–256. pmid:23137797
View Article
PubMed/NCBI
Google Scholar

[184] View Article

[185] PubMed/NCBI

[186] Google Scholar

[ref59] 59. Hakanpää J, Linder M, Popov A, Schmidt A, Rouvinen J. Hydrophobin HFBII in detail: ultrahigh-resolution structure at 0.75 Å. Acta Crystallogr, Sect. D: Biol. Crystallogr. 2006;62: 356–367.
View Article
Google Scholar

[188] View Article

[189] Google Scholar

[ref60] 60. Kwan A, Winefield R, Sunde M, Matthews J, Haverkamp R, Templeton M, Mackay J. Structural basis for rodlet assembly in fungal hydrophobins. Proc Natl Acad Sci USA. 2006;103: 3621–3626. pmid:16537446
View Article
PubMed/NCBI
Google Scholar

[191] View Article

[192] PubMed/NCBI

[193] Google Scholar

[ref61] 61. Dominguez C, Boelens R, Bonvin AMJJ. HADDOCK: a protein-protein docking approach based on biochemical and/or biophysical information. 2003; Available: http://haddocking.org/ Accessed 06/2016. pmid:12580598
View Article
PubMed/NCBI
Google Scholar

[195] View Article

[196] PubMed/NCBI

[197] Google Scholar

[ref62] 62. Kawabata T. MATRAS: a program for protein 3D structure comparison. 2003; Available: http://strcomp.protein.osaka-u.ac.jp/matras/ Accessed 06/2016.
View Article
Google Scholar

[199] View Article

[200] Google Scholar

[ref63] 63. Bailey TL, Johnson J, Grant CE, Noble WS. MEME suite. 2015; http://meme-suite.org/tools/meme/ Accessed 06/2016.

[ref64] 64. Bailey TL, Bodén M, Buske FA, Frith M, Grant CE, Clementi L, Ren J, Li WW, Noble WS, MEME SUITE: tools for motif discovery and searching. 2009; Available: http://meme-suite.org/tools/tomtom/ Accessed 06/2016.
View Article
Google Scholar

[203] View Article

[204] Google Scholar

[ref65] 65. Ohm RA, de Jong JF, Lugones LG, Aerts A, Kothe E, Stajich JE. Genome sequence of the model mushroom Schizophyllum commune. Nat Biotechnol. 2010; 28: 957–963. pmid:20622885
View Article
PubMed/NCBI
Google Scholar

[206] View Article

[207] PubMed/NCBI

[208] Google Scholar

[ref66] 66. Tagu D, Nasse B, Martin F. Cloning and characterization of hydrophobins-encoding cDNAs from the ectomycorrhizal basidiomycete Pisolithus tinctorius. Gene. 1996;168: 93–97. pmid:8626073
View Article
PubMed/NCBI
Google Scholar

[210] View Article

[211] PubMed/NCBI

[212] Google Scholar

[ref67] 67. Rigou L, Mignard E, Plassard C, Arvieu J, Remy J. Influence of ectomycorrhizal infection on the rhizosphere pH around roots of maritime pine (Pinus pinaster Soland in Ait.). New Phytol. 1995;130: 141–147.
View Article
Google Scholar

[214] View Article

[215] Google Scholar

[ref68] 68. Wang Z, Lienemann M, Qiau M, Linder MB. Mechanisms of protein adhesion on surface films of hydrophobin. Langmuir 2010;26: 8491–8496. pmid:20438113
View Article
PubMed/NCBI
Google Scholar

[217] View Article

[218] PubMed/NCBI

[219] Google Scholar

[ref69] 69. Mankel A, Krause K, Genenger M, Kost G, Kothe E. A hydrophobin accumulated in the Hartig'net of ectomycorrhiza formed between Tricholoma terreum and its compatible host tree is missing in an incompatible association. J Appl Bot. 2000;74: 95–99.
View Article
Google Scholar

[221] View Article

[222] Google Scholar

[ref70] 70. van Wetter MA, Wösten HA, Wessels JG. SC3 and SC4 hydrophobins have distinct roles in formation of aerial structures in dikaryons of Schizophyllum commune. Mol Microbiol. 2000;36: 201–210. pmid:10760177
View Article
PubMed/NCBI
Google Scholar

[224] View Article

[225] PubMed/NCBI

[226] Google Scholar

[ref71] 71. Jentschke G, Godbold D. Metal toxicity and ectomycorrhizas. Physiol Plant. 2000;109: 107–116.
View Article
Google Scholar

[228] View Article

[229] Google Scholar

[ref72] 72. Chuang H-W, Wang I-W, Lin S-Y, Chang Y-L. Transcriptome analysis of cadmium response in Ganoderma lucidum. FEMS Microbiol Lett. 2009;293: 205–213. pmid:19239493
View Article
PubMed/NCBI
Google Scholar

[231] View Article

[232] PubMed/NCBI

[233] Google Scholar

[ref73] 73. Jarosz‐Wilkołazka A, Malarczyk E, Pirszel J, Skowroński T, Leonowicz A. Uptake of cadmium ions in white‐rot fungus Trametes versicolor: effect of Cd (ii) ions on the activity of laccase. Cell Biol Int. 2002;26: 605–613. pmid:12127940
View Article
PubMed/NCBI
Google Scholar

[235] View Article

[236] PubMed/NCBI

[237] Google Scholar

[ref74] 74. Hibbett DS, Matheny PB. The relative ages of ectomycorrhizal mushrooms and their plant hosts estimated using Bayesian relaxed molecular clock analyses. BMC Biol. 2009;7: 13. pmid:19284559
View Article
PubMed/NCBI
Google Scholar

[239] View Article

[240] PubMed/NCBI

[241] Google Scholar

[ref75] 75. Hibbett DS, Gilbert L-B, Donoghue MJ. Evolutionary instability of ectomycorrhizal symbioses in basidiomycetes. Nature. 2000;407: 506–508. pmid:11029000
View Article
PubMed/NCBI
Google Scholar

[243] View Article

[244] PubMed/NCBI

[245] Google Scholar

Figures

Abstract

Introduction

Materials and Methods

Organisms and culture conditions

Quantitative real-time PCR

ITS and hydrophobin PCR

Phylogenetic analyses

Statistical treatments

Results

Class I hydrophobins of T. vaccinum

Structure and organization of hydrophobin genes of T. vaccinum

Regulatory motifs in hydrophobin gene promoters

Aerial hydrophobins of T. vaccinum

Host recognition

Fruiting body formation

Metal response in T. vaccinum

Discussion

Supporting Information

S1 File.

Acknowledgments

Author Contributions

References