Ubiquitously spread on land and ocean, fungi form one of the most diverse eukaryotic kingdoms with millions of species [1, 2]. However, the peculiarities of their biology such as their pleomorphic life cycles with frequent prevalence of asexual reproduction, prolonged stages of dormancy, and superior metabolic plasticity impede studies on fungal evolution and ecology, leaving this group largely unexplored [3].

Fungal systematics is challenged by complexes of cryptic species [4], which are morphologically identical taxa that can only be distinguished based on genetic data [5]. Recent genomic studies point to considerable genetic distances between such species [6, 7], but the evolutionary forces driving fungal speciation remain poorly understood [4, 5]. Consequently, fungi are rarely investigated for ecological genetics—i.e., for genes that are relevant to their fitness [8].

In asexually reproducing fungi with a haploid life cycle, fitness can be directly assigned to a haplotype [8, 9], but there is no consensus on how to measure the fitness of these organisms [9]. Currently, only two aspects of fungal life cycle are widely accepted as fitness metrics for filamentous fungi: mycelial growth rate and the amount of produced spores [8]. However, growth and sporulation do not guarantee reproductive success. Mature spores need to be discharged in the optimal conditions for efficient dispersal through air and water or by animals [10, 11]. When spores are carried over a long distance, survival is compromised by exposure to diverse abiotic stressors, such as drought, extreme temperatures, and ultraviolet (UV) radiation [12, 13]. Thus, fitness can be estimated using not only developmental parameters but also spore properties that influence dispersal efficiency in different media and resistance to stressors.

Most filamentous fungi disperse through airborne spores that can be transferred by wind over a long distance [11, 14]. For this reason, fungal spores usually remain dry and hydrophobic [15]. The hydrophobicity of spores is thought to be provided by hydrophobins (HFBs), which are small secreted cysteine-rich proteins (usually <20 kDa) that are characterized by a conserved pattern of eight cysteines (Cys) [16]. HFBs are only known from higher filamentous fungi (Dikarya) and reported to be some of the most surface-active proteins in nature [15, 17]. Previous work indicates that HFBs are secreted in a soluble form and spontaneously localize and self-organize at hydrophilic-hydrophobic interfaces, where they assemble into insoluble, amphipathic elastic layers [17, 18]. These layers cover fungal bodies and spores in water-repelling coats [17, 19] and influence spore dispersal [20], stress resistance, development, and biotic interactions [21, 22].

In pathogenic fungi such as Aspergillus fumigatus (Eurotiales) [15], Magnaporthe grisea (Magnaporthales) [23], and Cladosporium fulvum (Capnodiales) [20], HFBs are considered as virulence factors because they reduce exposure of pathogen-associated molecular patterns (PAMPs) and antigens to receptors of the immune system. This prevents the PAMPs from being recognized by the immune cells of plants and animals, including humans [15]. HFBs are also involved in symbiotic interactions, such as those between lichens and mycorrhizae [24, 25]. HFBs play a role in development and morphogenesis in the majority of the filamentous fungi and influence spore properties (for reviews, see [26,27,28,29]). Thus, we hypothesized that the respective genes could be suitable targets for ecological genetic investigation.

Molds from the common mycoparasitic and saprotrophic genus Trichoderma (Hypocreales) have the highest diversity of HFB-encoding genes in their genomes among Ascomycota [7, 30, 31]. Some species are airborne [32, 33] and form either single or oligosporic clumps of mitotic spores (conidia), while other species form conidiospores in wet or slimy heads [34, 35] that are thought to be suitable for dispersal by water or arthropods [34,35,36,37,38]. We selected two common morphologically identical (cryptic) species of the Harzianum Clade: T. harzianum and T. guizhouense [36, 39]. These species diverged approximately 5 Mya [7]. The genome of the reference strain for T. harzianum CBS 226.95 [40] contains eleven HFB-encoding genes, while that of T. guizhouense NJAU 4742 [40] contains nine such genes [7]. Although the preferential dispersal mode for each of these species is not defined, strains of the Harzianum Clade can form wet heads [34] or be air-borne [33, 37].

In this study, we tested the hypothesis that the HFB-related traits are essential factors for fungal fitness, and therefore, the analysis of such traits in closely related and cryptic Trichoderma species may reveal evolutionary forces that drive fungal speciation.

Materials and methods

Strains and culture conditions

Genome-sequenced strains T. harzianum CBS 226.95 (Th) [40] and T. guizhouense NJAU 4742 (Tg) [40] from the Harzianum Clade [7, 36] were used as the wild type and parental strains throughout the study. Additional strains used for determining hfb gene sequences, strain IDs in other collections, and the NCBI GenBank accession numbers of DNA barcode loci, and hfb4 and hfb10 sequences are listed in Supplementary information Table S1.

Fungal static liquid cultivation was performed with 50 mL flasks by inoculating 15 µL of 106 spores µL−1 suspension to 15 mL of 30% Murashige Skoog basal salt mixture (Sigma-Aldrich, USA) supplemented with 1% glucose (MSG). Fungal cultures were incubated at 25 °C in darkness, and images were recorded by using the Canon EOS 70D (Canon, Japan). Trichoderma spores were collected from 7-day-old potato dextrose agar (PDA, Sigma-Aldrich, USA) cultures, and mycelia were filtrated out. All strains, unless otherwise specified, were maintained on PDA at 25 °C in darkness.

Expression analysis of hfb genes and gene deletion

To study the expression of hfbs during Trichoderma development, fungal biomass corresponding to the three stages of the life cycle, namely, (i) the log-phase phase of growth in the substrate—48 h, (ii) the beginning of aerial hyphae formation - 72 h, and (iii) conidiation - 120 h, were collected from the cellophane-covered liquid cultures (6-cm Petri dishes) which were filled with 3 mL of MSG medium. Total RNA was extracted from each fungal biomass sample using the RNeasy Plant MiniKit (Qiagen, Germany) according the manufacturer’s protocol. cDNA was synthesized with the RevertAid™ First Strand cDNA Kit (Thermo Fischer Scientific, USA) using an oligo (dT)18 primer and calibrated by a NanoDrop spectrophotometer (Thermo Fischer Scientific, USA). qPCR was performed using qTOWER (Jena Analytics, Germany) for the genes of interest and calculated by the 2-ΔΔCt method [41, 42] using the translation elongation factor 1 alpha (tef1) as the housekeeping gene [43, 44]. Amplification was performed using a total volume of 20 µL containing 10 µl of iQ SYBR Green Supermix (Bio-Rad, USA), 0.5 µM each primer and 5 ng µL−1 of cDNA. The program was set as follows: a thermal cycle for 6 min at 95 °C followed by 40 cycles of 30 s at 95 °C and 60 s at 60 °C, and a melting curve from 55 °C to 95 °C. All primers used in this study are given in Supplementary information Table S2.

Gene deletion mutants were obtained via gene replacement strategy using the poly-ethylene glycol (PEG)-mediated protoplast transformation procedure as described in Zhang et al. [44] with a hygromycin B cassette (hph, from the plasmid pPcdna1-hph, [45]) and/or a geneticin cassette (neo, from the plasmid pPki-Gen, [46]) (Supplementary information Fig. S1). Single- and double-deletion mutants were generated for the two most highly expressed genes hfb4 and hfb10 for each species, resulting in the following mutant library: ThΔhfb4-3, ThΔhfb4-11, ThΔhfb10-2, ThΔhfb10-17, ThΔhfb4ThΔhfb10-27, ThΔhfb4ThΔhfb10-30 for T. harzianum, and TgΔhfb4-1, TgΔhfb4-4, TgΔhfb10-2, TgΔhfb10-3, TgΔhfb4TgΔhfb10-2 and TgΔhfb4TgΔhfb10-11 for T. guizhouense.

DNA extraction, PCR amplification and sequencing

For molecular phylogenetic analysis of hfb genes, fungal total DNA was extracted from the 48-h-old PDA cultures using the DNeasy Plant Mini Kit (Qiagen, Germany) according the manufacturer’s protocol. DNA fragments corresponding to hfb4 or hfb10 were respectively PCR-amplified with the primer pairs hfb4seq-F and hfb4seq-R, and hfb10seq-F, and hfb10seq-R (Supplementary information Table S2). The PCR reaction mixture (20 μL) contained 0.5 μM of each primer, 5 ng μL−1 of DNA, 10 μL of 2× Phanta Max Buffer mix and 2 U Phanta Max Super-Fidelity DNA Polymerase (Vazyme Biotech Co., Ltd, China). The thermal cycling process was set with the following program: 3 min at 95 °C for initial denaturing, 30 cycles of 15 s at 95 °C for denaturing, 15 s at 59 °C for annealing and 30 s at 72 °C, with a final extension at 72 °C for 5 min. Amplicons were sent for Sanger sequencing.

Molecular evolutionary analyses of natural selection pressure

The hfb sequences and their corresponding amino acid sequences were retrieved either from the databases of the National Center for Biotechnology Information (NCBI) and the DOE Joint Genome Institute (JGI) or obtained by Sanger sequencing. Multiple sequence alignment was done using Muscle 3.8.31 [47] integrated in AliView 1.23 [48]. Maximum likelihood (ML) phylogenetic tree was constructed by using IQ-TREE 1.6.12 [49, 50] with the nucleotide substitution model selected based on the Bayesian Information Criterion, BIC, by ModelFinder [49] that integrated in IQ-TREE. Statistical support was inferred by 1000 bootstrapping replicates. ML analyses using EasyCodeML v1.21 program, a graphical interface for using CodeML [51, 52], were performed to determine the ratio (ω = dN/dS) of nonsynonymous/synonymous substitution rates, based on the hfb gene tree topologies constructed by the ML method. To evaluate variation in selective pressure between the lineages, CodeML branch models were applied under two a priori assumptions: a one-ratio model (M0) in which one ω value was assumed for the entire tree and a two-ratio model (M2) in which ω values were allowed to vary between the selected foreground branch and the background branch [52]. Here, the lineages of T. guizhouense and T. harzianum were used as the foreground branches, in turn. Besides, branch-site models (Model A), which allows ω to vary both among sites and among branches, were applied to determine the contribution of adaptive evolution of sites in these branches [52]. Positive selection was assigned if ω > 1. Purifying selection was assigned if 0 < ω < 1.

Estimation of the fitness-related phenotypes

Determination of fungal growth by Biolog Phenotype MicroArrays

Growth was monitored using Biolog FF Microplates, which include 95 wells with each containing a different carbon source and one well with water (BIOLOG, Hayward, USA), as described in [53] with the following modifications. Spores were harvested from the 7-day-old PDA cultures and suspended in milli-Q water. Spore concentration was adjusted using a Biolog turbidity meter at O.D. 590 nm to 107 spores mL−1. Ninety μL of the spore suspension was dispensed into each well. The assays were carried out with at least three replicates per each genotype. The values of O.D.750 nm were measured 12, 18, 24, 36, 48, 60, 72, 96, 120, 144, and 168 h post inoculation. The plates were incubated in darkness at 25 °C.

Estimation of spore production potential using the artificial intelligence algorithm

The ability to reproduce by asexual spores was estimated as the formation of aerial hyphae and conidiation intensity. First, it was recorded using the high-resolution images (5472 × 3648 pixels) of the Biolog FF Microplates obtained with the Canon EOS 70D (equipped with a Canon 100 μm macro lens) 72, 96, 120, 144, and 168 h post inoculation. Second, quantitative information regarding aerial hyphae formation and conidiation dynamics in each well (carbon source) were analyzed using an artificial intelligence algorithm. Specifically, the position of every well was automatically detected by searching for blobs with a large saturation in HSV color space [54]. All detected wells were then cropped and normalized to a fixed size of 256 × 256 pixels. To estimate which regions were covered by hyphae or conidia, a machine learning algorithm based on the U-Net [55] was used. The algorithm was trained on a dataset consisting of 1920 wells of the cultivated Biolog FF Microplates, and their corresponding ground-truth annotations were created by the operation staffs. When analyzing an image, the U-Net classified each pixel to determine if the pixel was covered by hyphae or conidia. Based on the classification results, the percentage of the area covered by hyphae or conidia was calculated for each well. Thus, the above algorithm was used to automatically quantify the aerial mycelia and conidia abundance (% coverage) on each carbon source at the different time points measured, and was labeled as the REproduction Potential Artificial INTellegence assay (REPAINT) applicable for conidiation.

Spore dispersal assays

We carried out an air dispersal assay to evaluate the role of HFBs in this trait. Fungal cultures were grown on PDA for 21 days. The areas with roughly equal conidia abundance were cropped into 1 × 1 cm2 plugs and placed under constant air flow (0.3 m s−1) through a 30-cm-long pipe (stainless steel, dia. 9 cm). Dispersed spores were trapped by a 9 cm PDA plate installed on the opposite end of the pipe, and colony forming unites (CFU) per plate were counted after incubation for 30 h. O.D. 600 nm of spore suspension, washed from the culture plugs from the same plate, was used to normalize the conidia abundance between the cultures. The set up for the assay is presented in Supplementary information Fig. S2a.

The water dispersal assay was performed as described by Whiteford and Spanu [20], with modifications. Specifically, the amount of spores that could be transported by water droplets was measured by releasing 200 μL of water (containing 0.05% Tween-80) along a 1 × 2 cm2 conidiating culture plug inclined at an angle of 60 ° (Supplementary information Fig. S2b). The water that rolled across the conidia plug was collected at the bottom of the fungal culture incline. Collected spores were counted using a hemocytometer and a Biolog turbidity meter (O.D. 590 nm). The conidia abundance between samples were normalized as described above.

Spore stress resistance assays

In fungi, the resilience of spores to abiotic stress factors is an important component of the ability to pass genes to the next generation (fitness). Therefore, we tested the spore resistance to adverse environmental factors such as drought, freezing temperatures, and UV radiation [12, 13, 56, 57].

For the measurement of spore resistance to freeze, 200 μL of spore suspension (108 spores mL−1) was frozen in −80 °C for 12 h and lyophilized. The dried spores were re-suspended in 200 μL water, and 100 μL of the suspension was spread (with a standard 10-fold dilution plating method) on a 9 cm PDA plate supplemented by 0.5% Triton-X100. The CFUs were then calculated by quartette after 48 h of incubation at 25 °C.

For the measurement of spore resistance to drought, the spores were exposed to desiccation conditions. For this, 200 μL of spore suspension (108 spores mL−1) was dried at 40 °C for 4 days. Subsequently, the standard 10-fold dilution plating was used. The results were adopted if supported by at least two dilution series, otherwise a third repeat with another spore concentration was performed.

For the measurement of spore resistance to UV radiation, 100 μL of spore suspension (103 spores mL−1) was spread on a PDA plate supplemented by 0.5% Triton-X100. Then, plates were exposed to UV radiation (95 μw cm2, Longpro, China) for seven min. CFUs were counted per plate after 36 h of incubation at 25 °C.

Spore surface properties and ultrastructure

To determine the link between the presence of HFBs and properties of the spore surface, we carried out the spore surface hydrophobicity assay. For this purpose, a drop of 10 μL distilled water was placed on the surface of a mature conidiating colony (0.5 × 1 cm2) using a Krüss EasyDrop DSA20E (Germany). The wettability of the spores was then expressed by the water contact angle (θ) as described in [58].

Micromorphology of the spore surface of fungal colonies (28-day old) was investigated using a cryo-scanning electron microscope (cryo-SEM, Quorum PP3010T integrated onto a Hitachi SU8010 FE-SEM, Japan).

Homology modeling of HFB4

To determine the structure of HFB4 proteins from T. harzianum CBS 226.95 and T. guizhouense NJAU 4742, homology models were generated with MODELLER 9v15 [59] using the HFB2 structure from T. reesei (PDB ID: 2B97). Overall solvent-accessible surface area and hydrophobicity were estimated as the total SASA calculated by VMD with 1.4 Angstrom probe radius [60] or using Gravy calculator (

Statistical data analysis

The expression pattern of hfb genes at three stages of fungal development was illustrated by a heatmap that generated in R (version 3.6.1). Genes were clustered with the complete linkage Euclidean distance algorithm. The relative expression ratio (folds) of each hfb gene to the reference house-keeping gene tef1 was indicated by the color intensity. To analyze the shift of dispersal mode due to hfb deletion, a complete linkage hierarchical clustering was also performed for the dispersal data in R. One-way analysis of variance (ANOVA) and Tukey HSD multiple comparison analyses were performed using STATISTICA 6 (StatSoft, USA) to test whether the removal of hfb gene(s) significantly affected the spore dispersal ability (n ≥ 6), surface hydrophobicity (n = 12), resistance to different abiotic stressors (n = 8), growth (Biolog Phenotype MicroArrays, n ≥ 288), and reproductive efficiency (REPAINT, production of aerial hypha and conidia abundance) (n ≥ 288). The significance threshold was set at P < 0.05. Results were demonstrated using box plots constructed in R package or as scatter plots. The generated data sets regarding Biolog Phenotype MicroArrays and REPAINT, were subjected to the principal component analysis (PCA) using ClustVis online tool (, [61]) to test whether hfb deletion explains variation in phenotypic traits, within and between species.


To reveal HFBs that are associated with the sporulation of T. harzianum CBS 226.95 (Th) and T. guizhouense NJAU 4742 (Tg), we tested the expression of respective genes during the three stages of fungal development (Fig. 1a): (i) active growth (log-phase) shortly after germination when the mycelium is still developing in the substrate and no spores have formed (48 h), (ii) the formation of buoyant aerial mycelium shortly before conidiation (72 h), and (iii) mature conidiation during the climax of the life cycle (120 h) (Fig. 1b). The results showed that two genes were highly expressed during the formation of aerial mycelium and remained highly active during conidiation: ThPTB58174 / TgOPB37525 (hfb4, [62]) and ThPTB48206/TgOPB44696 (assigned as hfb10 throughout this study, Supplementary information Table S1). Furthermore, hfb2 and hfb3 (Fig. 1b) showed low relative expression, while the expression of other genes was near the detection threshold level.

Fig. 1: Expression of HFB-encoding genes during three stages of Trichoderma development.
figure 1

(a) Three stages of the asexual life cycle of Trichoderma. (b) A heatmap showing relative expression of HFB-encoding genes at each life stage in T. harzianum CBS 226.99 and T. guizhouense NJAU 4742, as quantified by qPCR in relation to the housekeeping gene tef1. The list of hfb genes is available from Kubicek et al. [7], and numbers indicate gene accessions in the NCBI GenBank.

All hfbs showed low relative expression values during submerged growth except hfb10 of Tg. hfb4 and hfb10 were relatively highly expressed during the reproduction of both species but in a different manner. Therefore, we produced a library of mutants lacking either one or both highly expressed hfb genes (hfb4 and hfb10). Our library contained at least two mutant strains of each genotype per species (Supplementary information Table S1).

Hydrophobins modulate the preferential dispersal mode of Trichoderma

We first compared the two species for their affinity to aerial and water dispersal modes (see Materials and Methods and Supplementary information Fig. S1 for details). Tg spores were found to have about two-times higher affinity to air flow than Th (Supplementary information Fig. S2), while Th was more efficiently dispersed by water than Tg (Fig. 2). The deletion of hfb4 resulted in an almost complete abolishment of air dispersal ability of the Tg spores, while deletion of hfb10 showed a less pronounced loss of air dispersal capability, albeit still statistically significant (P = 0.005).

Fig. 2: Switch in the preferential spore dispersal mode mediated by hydrophobins.
figure 2

Cluster analysis of the aerial (a) and water (b) dispersal efficiency measured for the wild type and hfb-mutant strains of the two Trichoderma species. Circle sizes indicate the relative number of transferred spores by one or another media. Arrows represent statistically significant shifts due to the deletion of one or two hfb genes (P < 0.05). Red and grey colors of circles and arrows highlight T. guizhouense and T. harzianum, respectively. Insets show the representative cryo-scanning electron microscope images (from 197 images) of mature spores for the three strains (dashed lines). Rectangles in the insets show spore clumps.

The double-deletion strains of Tg (TgΔhfb4TgΔhfb10) showed a similar phenotype to the TgΔhfb4. Thus, the deletion of hfb4 severely impacted traits related to the aerial dispersal of Tg mutants. Interestingly, the single deletion of either hfb4 or hfb10 significantly improved the air dispersal ability of Th, making it equal to that of Tg (P = 0). However, double deletion strains of Th significantly (P = 0.001) reduced its abilities for air dispersal, similar to TgΔhfb4 (Fig. 2 and Supplementary information Fig. S3). Cryo-SEM revealed that spores of the hfb mutant strains that were weaken in air dispersal were not aggregated in characteristic oligosporic conidial clumps present in these species. Instead, they were in large watery packs (Fig. 2) and appeared as a “dark spore phenotype” of the colony. The loss of hfb genes in Th did not change water dispersal (Fig. 2 and Supplementary information Fig. S3). Conversely, hfb4 deletion or hfb4 and hfb10 deletion significantly (P = 0) increased the number of water-dispersed spores for Tg, while hfb10 deletion resulted in a minor but significant improvement (P = 0.034).

The cluster analyses of air and water dispersal efficiencies (Fig. 2) of both species revealed that the deletion of hfb4 in Tg possibly switched the primary dispersal medium from air to water. In Th, the deletion of any of these hfbs resulted in improved aerial dispersal but did not influence the dispersal by water. Taken together, these results allow us to conclude that HFB4 or HFB10 in Th prevent spores from being dispersed by air, and HFB4 in Tg prevents spores from being dispersed by water droplets. Such a strong difference in dispersal strategies was not expected for cryptic and closely related species.

High spore surface hydrophobicity correlates with the preferential aerial dispersal mode of Tg

Aerial dispersal requires spore surface hydrophobicity, which is known to be provided by surface HFBs [63, 64]. Indeed, measurements of the water contact angle (WCA) showed that Tg spores were highly hydrophobic (Fig. 3), but TgΔhfb4 and TgΔhfb4TgΔhfb10 strains had hydrophilic spores (P = 0). Remarkably, TgΔhfb10 strains had only minor but statistically significant declines (P = 0.01) in spore surface hydrophobicity, which would be considered negligible unless the efficiency of air dispersal of these strains is not changed.

Fig. 3: Spore surface hydrophobicity of Trichoderma wild type and HFB-mutant strains.
figure 3

Surface hydrophobicity of spores was estimated by the water contact angle of a water droplet applied on the fungal colony, as illustrated by the insets. Different letters represent statistically significant differences, P < 0.05. Spores with WCA < 90° were considered to be hydrophilic.

Interestingly, our data show that even a minor reduction in surface hydrophobicity correlates with the reduced efficiency of aerial dispersal. The hydrophobicity of Th spores was slightly lower than that of Tg (P = 0.017) but equal to that of TgΔhfb10 (Fig. 3). The absence of hfb4 or hfb10 in Th did not affect spore hydrophobicity. The analysis of spore surface by cryo-SEM did not reveal morphological changes associated with the species or tested genotypes (Supplementary information Fig. S4).

Hydrophobins can change the resistance of spores to abiotic stress factors

We tested whether HFB4 and HFB10 influence the resistance of spores to the most common abiotic stress factors by exposing spores to desiccation, freezing, and UV radiation (see Materials and Methods for the details). The results indicate that Tg strains exhibit significantly less desiccation resistance than Th (P < 0.05). The deletion of hfb4 or hfb10 significantly increased this vulnerability (P < 0.05, Fig. 4). The effect was stronger for hfb4 than for hfb10. In Th, the same alteration was caused by the deletion of hfb4, but not hfb10 (P > 0.05).

Fig. 4: Stress resistance of spores against desiccation, freeze, and UV.
figure 4

The survival rate of spores for each strain was measured as CFU after spreading spores on PDA plates. UV resistance was given as the percentage of CFU comparison between the UV-treated and non-treated ones. Boxes with different letters represent a statistically significant difference from each other at the level of P < 0.05.

The UV resistance experiment revealed a similar trend for the mutants and species except that Tg spores were generally more UV-resistant. Tg spores also had considerably higher freeze resistance than Th (P = 0). Most surprisingly, the deletion of hfb4 increased its freeze tolerance by more than twofold. The effect was reproduced in double-deletion strains and not present in TgΔhfb10. No such effect was noticed for Th (Fig. 4).

Hydrophobins can strongly influence the growth and reproductive potential of Trichoderma

Both hfb genes can influence the growth and reproduction of Tg. To avoid possible biases that are related to the medium composition, we investigated the impact of hfb4 and hfb10 genes on the vegetative growth, aerial hypha formation, and conidiation of Tg and Th (Fig. 5) by using Biolog Phenotype MicroArrays coupled with the REPAINT algorithm (see Materials and Methods and Supplementary information Figs. S5S7 for details). Our results show that Tg mutants lacking hfb4 or hfb4 and hfb10 had improved overall growth compared to the wild-type strain and the TgΔhfb10 mutants (P = 0), whereas no difference was detected for Th strains (P > 0.05). However, improved growth on a certain carbon source did not guarantee a higher spore production potential since TgΔhfb4 and TgΔhfb4TgΔhfb10 strains showed significantly fewer aerial hyphae and lower conidia abundance than the wild-type strain (P = 0).

Fig. 5: Impact of HFB4 and HFB10 on fungal growth and reproductive potential.
figure 5

(a) Three stages of the Trichoderma life cycle, which include the submerged growth, initial formation of aerial hyphae and conidiation. Insets show two representative cases for each stage imaged from the Biolog FF Microplates (well diameter: 6 mm). Scatter plots show the growth (b) measured as optical density at 750 nm (O.D.) using Biolog Phenotype Microarrays and the reproduction potential (c) estimated using the REproductive Potential Artificial INTelligence assay (REPAINT) of hfb-deficient mutants (Y-axis) compared to that of the wild-type strains (X-axis) on 95 carbon sources and on water. Each marker shows the value calculated on an individual carbon source. Two strains were analyzed for each deletion genotype. All data are presented in Supplementary information Figs. S5–S7, Dataset S1. The trend lines demonstrate the overall effect of hfb deletion on each mutant. Grey shadows on (bc) correspond to the “no effect” zone. The principal component analysis (d) demonstrates the grouping pattern of the mutants and respective wild-type strains based on the data shown in (b) and (c). Corresponding time points for (bd) are shown in (a).

The removal of hfb10 in Tg had a minor effect on the reproduction potential compared to those without hfb4, but, the double deletion of hfb4 and hfb10 in Tg resulted in a superposition effect (Fig. 5). No significant difference was found among the Th strains regarding vegetative growth and aerial hypha (P > 0.05). However, the conidial abundance of Th decreased significantly when hfb10 was removed (P = 0). PCA (Fig. 5d) also supported the results that the deletion of HFBs has a more extensive influence on Tg than on Th and has a stronger effect on the fungal reproduction potential than the effect on vegetative growth. These assays suggest that hfb4 can hinder fungal growth and development in some conditions as HFB4 affected the growth of Tg, as shown in Fig. 5b.

HFB4 in T. harzianum evolves under strong positive selection pressure

The above analyses revealed that the two hfb genes are essential for at least several fitness-related traits in Trichoderma, but the impact of these proteins on predicted fitness was contradictory. Genes controlling multiple functions may experience multiple pressures of natural selection and evolve under the operation of the net effect of these forces [65, 66]. Therefore, we were interested in the mode of selection acting on each of these genes in each species.

For the analysis of selection pressure, we sequenced hfb4 and hfb10 genes for several additional strains available for Tg and Th (Supplementary information Figs. S8 and S9). As shown in Table 1, ω was estimated as 0.242 for HFB4 and 0.373 for HFB10 which showed the average ω overall sites in the protein and all lineages in the trees. These results indicate the dominating role of purifying (or stabilizing) selection in the evolution of the HFB proteins. However, model M2 assumes two different ω ratios between the branches and revealed that the value in HFB4 in the branch of the Th lineage (ω1 » 1) was significantly greater than the one of the background branches, indicating a strong positive selection that drives the evolution of hfb4 in the Th species (Table 1). According to the branch-site model (Model A null vs. Model A), the sites 57 N (with posterior probability >95%) and 73D of HFB4 in Th were found to be evolving under positive selection pressure. In contrast, the value of ω was <1 when calculated for HFB4 in Tg and for HFB10 in Tg and Th lineages, indicating a primary purifying selection process for the proteins in the corresponding lineages.

Table 1 Log-likelihood values and parameter estimates for the natural selection pressure analysis of hfb4 and hfb10.

The constraint of a strong positive selection pressure in the branch model on a protein-encoding gene is rarely detected [67, 68]. Thus, we used the advantage of hfb4 being a core gene in Trichoderma spp. [7] and analyzed sequences of another 168 isolates that represent the major infrageneric clades of of the genus. This revealed that besides Th, hfb4 also evolves under positive selection pressure in several other Trichoderma clades, such as T. atroviride and T. aggressivum species complexes. In other clades, it experiences a more commonly reported purifying selection pressure (Supplementary information Fig. S10). This later phenomenon was described previously for Trichoderma hfbs by Kubicek et al. [30]. Because hfb10 is an orphan gene that is only found in the Harzianum Clade of Trichoderma [7], this type of analysis was not possible for this gene.

A remarkable finding of this study is the detection of the positive selection pressure operating on the hfb4 gene in Th, even though the presence of this gene in this species is detrimental to some traits expected to be advantageous in our experiments. Interestingly, the homology modeling of HFB4 for each of the species against HFB2 of T. reesei and the analysis of its total hydrophobicity in silico revealed that they differ by six surface-located amino acids that make TgHFB4 slightly more hydrophobic than ThHFB4 (Fig. 6 and Supplementary information Fig. S11).

Fig. 6: FB4 provides an evolutionary snapshot of the speciation in Trichoderma.
figure 6

H The homology models of HFB4 from T. harzianum (a) and T. guizhouense (b) were computed based on the 3D structure of HFB2 (PDB ID: 2B97) from T. reesei. Five of the six polymorphic sites in HFB4 (I50L, N57D, K62D, D73A and V78M) between Th and Tg, respectively, locate on the surface of the protein that may have an effect on the surface properties. The putative sites undergoing positive selection are framed. c Putative disruptive natural selection and directional shifts in HFB4-related features of T. harzianum and T. guizhouense. Colony morphologies associated with preferential water or aerial dispersal strategies are shown in (d) and (f) and (e) and (g), respectively. Naturally guttated drops containing spores of T. harzianum are shown in (h) and (j), while artificial water drops covered by air blown spores of T. guizhouense are shown in (i) and (k). The ability to form buoyant colonies is shown in (l) and (m) (diameter: 6 cm).


In this study, we revealed that the alterations in a single HFB-encoding gene may cause changes that recapitulate the phenotypic differences thought to contribute to ecophysiological separation of species diverged at least 5 Mya [7]. T. harzianum sensu lato, the type species of the Harzianum species complex, is the most common taxon of the genus Trichoderma [7]. The first molecular phylogenetic studies pointed to considerable genetic polymorphism between morphologically indistinguishable T. harzianum strains [34, 36, 39, 69]. However, a broader multiloci analysis revealed traces of sexual recombination between genetically distant isolates and a continuum of physiological traits that point to a lack of consistent criteria that can be used for the reliable delineation of this species aggregate [39].

Later on, T. harzianum sensu lato was divided into more than a dozen phylogenetic species that largely corresponded to the polymorphism of one of the Trichoderma DNA barcoding markers, a fragment of the tef1 gene, but also left the issue of species criteria open for further investigation. Thus, T. harzianum sensu stricto [36, 39] and T. guizhouense [36, 70] were formally recognized as putatively cosmopolitan cryptic species [34]. A subsequent comparative genomic study supported the genetic distance between these (and other) species [7, 40]. However, it did not address the evolutionary forces that led to the diversification, leaving species criteria to be exclusively DNA-based.

Here, we revealed that a set of ecophysiological fitness-related parameters describing development, dispersal, and stress resistance can reliably distinguish these species, making them non-cryptic. More surprisingly, most of these parameters were dependent on the presence of one or two HFB-encoding genes, at least in one of the species. Thus, the hfb4 gene influences fitness-related traits that have species-specific differences in their manifestation. Figure 6c depicts a diagram of putative disruptive natural selection acting on fitness-related traits of T. guizhouense and T. harzianum and possibly resulting in the formation of these two species. The traits suggest that T. harzianum is likely to be a preferentially pluviophilousFootnote 1 (dispersed by rain droplets), fast-growing fungus that rapidly produces spores when conditions become appropriate. Albeit more profound, a similar rapid life cycle is known for some coprophilic fungi such as Podospora anserina (Sordariales, Ascomycota), which evolved quick reproduction regimes due to the short-term availability of suitable substrate (dung) [71]. Interestingly, P. anserina is also one of a few senescent filamentous fungi with a fixed duration of the life cycle [72]. In our study, we also noted a faster and shorter life span of T. harzianum than T. guizhouense (Supplementary information Figs. S5S7 and Dataset S1), which requires further investigation.

T. guizhouense forms a long-lasting buoyant mycelium (Fig. 6) that is suitable for the long-term production of stress-resistant anemophilous (air-dispersed) spores [22]. The sum of HFB4-related phenotypes of this species points to the similarity of T. guizhouense to the group of aero-aquatic (or amphibious) fungi [73, 74]. Such fungi can grow well in water and have adaptations for forming aerial reproductive mycelia. Usually, spores of aero-aquatic fungi such as Helicodendron spp. [75] have characteristic shapes or appendages that improve their ability to float on the surface of water. In the case of T. guizhouense, HFBs (mainly HFB4) can substitute these morphological structures because the appearance of this protein on the spore surface allows the fungus to reduce the surface tension of water and grow out of the liquid medium. This makes spores hydrophobic and air-dispersible and increases their resistance to low temperature and UV radiation.

The microscopic morphological features of T. guizhouense and T. harzianum are identical [36, 69], and macromorphologies of their young colonies are similar. Nevertheless, our results indicate that the mature colonies have significant differences that appear at the conidial stage. Thus, after 10–14 days of incubation at 25 °C, T. guizhouense remains fluffy and dry, while T. harzianum develops characteristic drops over conidiating areas (“dark spore phenotype”) that may be guttated by the fungus or come from condensed environmental moisture (Fig. 6). This correlates with the affinity of T. harzianum to form conidia in wet or slime heads that were described by Jaklitsch [34] and observed in this study. Many spores of common molds such as Cladosporium spp., Penicillium spp., Alternaria spp. (Pleosporales), and Aspergillus spp. are generated in dry chains and thus become airborne because this enables long-distance transfer [15]. Furthermore, falling spores will be exposed to a series of unfavorable environmental conditions, such as UV radiation or temperatures as low as −80 °C [12, 13, 56]. In agreement with this, spores of preferentially anemophilous T. guizhouense were resistant to freezing. Spores of T. harzianum did not survive low-temperature treatment. Therefore, our data suggest that this species (T. harzianum) cannot be dispersed over long distances by wind as it is linked to low temperatures. However, the species is cosmopolitan and is commonly found in soil all over the world [7, 36, 39]. Thus, the mechanism of its efficient dispersal may be associated with arthropods and remains to be discovered [37].

The deletion of hfb4 in T. guizhouense resulted in a drastic increase of water dispersal, while the deletion of the same gene in T. harzianum resulted in increased anemophily. Remarkably, the colony morphologies associated with anemophilous dispersal strategies (Fig. 6) can be reversed to pluviophilous if hfb4 is deleted in T. guizhouense (Supplementary information Fig. S12, [76]). This brought us to the comparison of HFB4 in the two species. The results of the calculated total surface hydrophobicity and the selection pressure analysis of the two HFB4s (hfb4s) suggest that positive selection at a fraction of sites contributes to the increased rate of amino acid substitution in HFB4 along the T. harzianum branch, while the functional constraint in HFB4 and in HFB10 purifies the mutation of these proteins along the T. guizhouense branch, as well as HFB10 in T. harzianum. Asexually reproducing lineages are expected to evolve relatively rapidly because they have a reduced effective population size, and their genes are more likely to experience selective sweeps that drive mutations to fixation [5, 77,78,79]. Therefore, as a clonal species [7, 39] that reproduces mitotically (asexually), T. harzianum evolves at faster rates than the sexually reproducing species. T. guizhouense is a putative holomorphic species that reproduces sexually and asexually [36], which also supports that its hfb4 could evolve more slowly and that the operation of directional selection is prolonged, making it visible in more diverse habitats. Even though we have not defined the preferred habitats of T. guizhouense and T. harzianum in nature, it is reasonable to conclude they will be at least partially distinct and that the distinction has been arisen by positive selection for traits associated with HFB4.

The genes undergoing positive selection pressure reported so far are frequently found in groups involved in the regulation of reproduction and immunity [68] and mainly from the human genome and genomes of some plants. Only a few fungal genes have been shown to evolve under positive selection, such as the proline-rich antigen (PRA) gene in Coccidioides spp. [80] and the trichothecene mycotoxin gene in Fusarium spp. [81]. In our case, the strong positive selection on ThHFB4 strengthened the importance of reproduction-related genes involved in the speciation process, although HFBs do not control the reproductivity directly but can affect the fitness (including dispersal) of the progeny.

To verify our results, we tested the operation of the natural selection of HFB4 in a broad set of 170 Trichoderma strains (Supplementary information Fig. S10). This revealed that HFB4 evolves under the operation of positive selection in at least two other clades: one comprising strains of the polymorphic and common species T. atroviride and a clade consisting of T. aggressivum, T. tawa, T. alni, and T. epimyces. Interestingly, all these clades contain species with sexual and asexual life cycles. In summary, our results highlight the strong involvement of HFB4 and other hydrophobins in the species radiation of Trichoderma and related fungi that deserve future attention.

This study revealed that HFBs control multiple phenotypic and fitness-related traits. Although all features considered here could be involved in fitness, they may either be in conflict with one another or have a synergistic effect. This ultimately leads to the development of adaptive compromises that reflect the net effect of different selection pressures [82, 83]. Thus, the loss of HFB4 in T. guizhouense abolished the in vitro phenotype related to aerial dispersal, but the spores became more resistant to freezing temperatures. Together, this increases the chances for survival of these mutants if air remains the only medium for dispersal. Correspondingly, when the amount of water-dispersed spores increased because of the lack of HFB4 in T. guizhouense, the survival ratio in desiccation stress decreased. Similar compromising trait pairs can also be found in T. harzianum, whose spores would not survive low temperatures if anemophilous dispersal becomes preferential.

Phenotypic variation plays crucial roles in natural selection. However, it is difficult to integrate measurements of different fungal phenotypic traits in in vitro assessments of fitness. The measurements of fungal fitness have been restricted to development-related parameters, such as growth and the amount of spores [8]. In this study, we offer a toolkit that is based on eight parameters that can be further tested for fitness measurements to describe the development, dispersal, and stress resistance of spores. The novelty of our approach is the application of REPAINT assay to assessment of growth and sporulation which permitted the rapid integration of multiple traits across different carbon sources making high-throughput analyses become possible. Similar multiparametric phenotype assays may be customized for individual life cycles of fungi by adding specific parameters such as responses to illumination for fungi with circadian rhythms (Neurospora crassa [84]) or growth at temperatures of the human body for pathogens (dermatophytes or Aspergilli [85]).

We showed that HFBs were essential for phenotypes associated with spore dispersal and influence the resistance of spores to environmental stressors. Thus, multiple aspects of growth and spore dispersal are expected to be important to fungal ecology. Hence, comparison of HFBs between closely related and cryptic Trichoderma species may reflect ecological adaptations. For example, we can speculate that anemophilous dispersal and highly hydrophobic spores became advantageous in aquatic habitats, thus possibly forcing HFB4 of T. guizhouense towards a more hydrophobic state. Further investigations on the evolution of HFB4 surface activity and ecology of both species will reveal the vector of environmental adaptations in these fungi. Moreover, the application of customized assays of such fitness-related phenotypes as dispersal efficiencies, stress resilience, and competitive vigor in various habitats and microcosms may shed light on the evolutionary forces that shape species radiation in different fungi, as well as explain the genetic polymorphism in numerous complexes of cryptic species. Combined with advances in fungal genomics, multi-parametric fitness assays could bring fungi in focus for ecological genomic and ecological genetic investigations.