Reference
species, to assign functional annotations of DEGs and conduct enrichment
analyses. DEGs were classified based on Functional Catalogue (FunCat) (Ruepp et al.,
2004), Gene Ontology (GO) (Harris et al., 2004) , and Kyoto Encyclopedia of Genes and
Genomes (KEGG) (Kanehisa & Goto, 2000) and tested for enrichment using FungiFun 2.2.8
BETA (Priebe et al., 2015) . The presence of signal peptides in DEGs was predicted with
SignalP 5.0 (Almagro Armenteros et al., 2019) . Self-organizing tree algorithm (SOTA) was
used to cluster common DEGs based on expression patterns between the different test
conditions using Pearson’s correlation and MeV v4.4.1 (Howe et al., 2011).
Statistical analysis and visualization
The obtained data was processed for statistical data analysis with Origin Pro (version 2021,
OriginLab Corporation, Northampton, USA). Data was tested for normal distribution using the
Shapiro-Wilk test, followed by Levene’s test for variance homogeneity. One-way ANOVA was
performed combined with Bonferroni test for pairwise comparison. For plant data, one -way
ANOVA was applied combined with Fisher’s least significant difference (LSD) test. Figures
were created and combined with BioRender.com (TUM institutional license WN26OFV8MS).
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3 Results
Trichoderma spp. are displaying bio-fertilizer and biocontrol capacity in poplar
When considering Trichoderma strains as a BCA for poplar plantations, the potential to induce
effective plant systemic resistance may vary between different strains used. I t is therefore
important to exclude potential negative effects by eva luating the interaction of the biocontrol
strain and the plant. The biofertilizer capacity was evaluated by comparing plant height, leaf
number, shoot and root fresh and dry weight to the untreated control plants (Fig. 1). The
chosen strains significantly increased plant height, average leaf number (from 7.2 (+/- 1.6) to
8.4 (+/- 0.9) with T. harzianum treatment and 9.4 ( +/- 1.2) for T. atrobrunneum treatment)
(Fig. 1a,b), as well as shoot and root fresh weight (Fig. 1c,d). To evaluate the potential
biocontrol capacity of both strains, one leaf of each poplar-plant was injured and infected with
spores of A. alternata. Both Trichoderma strains significantly decreased signs of infection in
leaves (Fig. 1g) reflecting a positive influence on the induced systemi c resistance in P. x
canescens.
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Fig. 1: Evaluation of biofertilizer and biocontrol capacity of T. harzianum WM24a1 and
T. atrobrunneum in Populus x canescens. Plant height (a), leaf number (b), shoot fresh and dry weight
(c,e) and root fresh and dry weight (d,f) were assessed after six weeks of cultivation (n = 7). A subset
of plants were inoculated again with 5 ml spore solutions containing 106 spores ml-1. After 4 days one
leaf per plant was injured with a sterile needle and infected with A. alternata spore solution (n = 5).
Infection area in mm2 (g). Significances were determined by one-way ANOVA and LSD, p < 0.05.
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Differences in antagonistic activity of Trichoderma towards plant-beneficial and plant-
pathogenic fungi
To examine the physiological response and potential inhibitory effect of Trichoderma species
towards plant -pathogenic and plant -beneficial fungi , we initially set up dual confrontation
assays with F. graminearum , A. alternata, L. bicolor and H. cylindrosporum , in different
degrees of contact in standard Petri dish systems (Supplementary Fig. S1).
A clear inhibitory effect of both Trichoderma strains towards all confrontation partners was
observed three days after inoculation with Trichoderma, albeit differing in severity depending
on the part ner and being generally stronger during conditions that allowed media contact
(MC), compared to the situation in a split -plate that allowed only contact through the
headspace (air contact; AC). Also, T. harzianum showed a stronger inhibitory effect on both
pathogens during MC compared to AC, whereas T. atrobrunneum only showed stronger
inhibitory effect s during MC towards A. alternata (Fig. 2c,d). The inhibitory effect of
Trichoderma towards the ECM was stronger towards H. cylindrosporum compared to
L. bicolor for both strains (Fig. 2a,b). On the contrary, the presence of H. cylindrosporum and
L. bicolor was found to inhibit the growth of both Trichoderma strains (between 4% and 47%)
(Fig. 2b), and this effect was more pronounced, albeit not significantly, in the AC conditions
and somewhat more robust for L. bicolor than for H. cylindrosporum (Fig. 2a,b). At the same
time, the presence of both pathogens led to an enhanced colony diameter of Trichoderma,
indicated by negative inhibition values (Fig. 2c,d). In T. atrobrunneum, this effect ranged
between 2% and 10% and in T. harzianum between 11% and 29% compared to the
Trichoderma-only control. Intriguingly, while this increase was stronger during AC
confrontation with F. graminearum compared to MC confrontation, no significant differences
could be detected between AC and MC confrontation with A. alternata. Overall, these data
show that while the ECM fungi have a robust repelling effect on Trichoderma spp., they seem
to be attracted to plant-pathogenic fungi.
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Fig. 2: Growth inhibition during co-cultivation of Trichoderma spp. with the two ectomycorrhizal fungi
H. cylindrosporum (a) and L. bicolor (b) and the two plant-pathogenic fungi F. graminearum (c) and
A. alternata (d). Growth inhibition of each fungus during co-cultivations was calculated by comparing
the colony area with single controls for MC and AC three days after inoculation with Trichoderma.
Significances were determined for each contact stage separately with Student’s t-test, p < 0.05, n = 3.
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A novel olfactometer “race tube”-like system to quantify the directional growth response to
fungal partners
To overcome the limitations of more traditional plate confrontation assay s, we developed a
novel olfactometer “race-tube”-like system. Differing from the Petri dish system, this
experimental set -up allows for a two -way choice of growth direction and therefore an
observation of the directed growth of Trichoderma in presence of a second fungus (Fig. 3a).
Furthermore, the growth direction can be evaluated and quantified over much longer
distances and time and therefore in a much more reliable fashion. Self -confrontation of both
Trichoderma strains led to Δ growth direction values near 0, indicating an equal growth
towards both directions (Fig. 3b-e). Using the new system, we could confirm the overall
effects observed in the plate -based system. However, it became obvious that both
Trichoderma strains were not simply inhibited by the ECM fungi, but indeed chose to grow
away from them, visible by stronger growth in the opposite direction, leading to negative Δ
growth direction values. This effect was stronger for T. harzianum during AC compared to MC
(Fig. 3b,c), whereas it was the other way around for T. atrobrunneum (Fig. 3d). The situation
was found to be completely different in presence of phytopathogens, and both Trichoderma
strains displayed a clear growth preference towards those fungi, as indicated by positive Δ
growth direction values (Fig. 3b-e). In T. harzianum this effect was stronger during the first
72 h in AC compared to MC, shifting to more pronounced effects in MC compared to AC after
96 h (Fig. 3b,c). Interestingly, in both Trichoderma strains the directed growth towards the
pathogens in AC confrontation decreased slightly after 96 h, and in MC confr ontation after
120 h. Overall, the physiological responses indicated a negative chemotropism in presence
of ECM and a positive chemotropism in presence of phytopathogenic fungi taking effect
already at comparably long distances.
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Fig. 3: Experimental setup of olfactometer “race tube”-like system and the confrontations with fungal
partner during media (MC) and air contact (AC) (a). Physiological response of T. harzianum WM24a1
(a,c) and T. atrobrunneum (d,e) in the presence of H. cylindrosporum (grey), L bicolor (blue),
F. graminearum (red) and A. alternata (orange). The direction of growth was determined as ∆ growth
direction (%) between the different time points. As a control, Trichoderma was challenged with itself
(green). Significances were determined with Student’s t-test compared to the self -confrontation,
p < 0.05, n = 5.
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Distinct patterns in Trichoderma global gene expression
To identify differentially expressed genes (DEGs) related to the strongly differing reaction of
Trichoderma to ECM and phytopathogenic fungi, another series of plate-based confrontations
was conducted with T. harzianum on one side and L. bicolor, F. graminearum, or A. alternata
on the other. The plate system was used in this experiment , since it allowed harvesting
biomass directly from the zone of interaction (Fig. 4a). Samples were taken three days after
inoculation before any kind of physical contact (MC) and six days after inoculation when a
direct hyphal interaction was established (DC).
Compared to the concatenated reference genomes of T. harzianum CBS 226.95 and Laccaria
bicolor S238N-H82, the alignment rate ranged from 81.2% to 97.7% , respectively. Principal
component analysis (PCA) revealed cluster formation of the c onfrontations with the
pathogens away from the Trichoderma-only control, indicating similarly changed expression
patterns, while confrontation with L. bicolor clustered much closer to the controls, indicating
more limited changes (Fig. 4b). At DC, the pathogen interactions separated into individual
clusters, while the confrontation with L. bicolor still clustered with the control (Fig. 4c). This
differential clustering highlights the similarities between confrontation with L. bicolor and the
control condition and points to distinct expression patterns during the confront ation with the
pathogens developing after three days.
Distinct patterns across the confrontations with the ECM and the pathogens during MC
emerged also when looking at the gene expression more closely (volcano plots;
Supplementary Fig. S3). The confrontation with L. bicolor was characterized by small LFC
values compared to the control, representing minimal changes in gene expression. To
nevertheless ensure not to lose potentially relevant genes in the downstream analysis, we
employed a threshold of adjusted FDR < 0.01 without an additional LFC threshold. Especially
during the MC stage without physical contact, we expected the potential signaling
mechanisms not to display extreme fold -changes, which should nevertheless be significant.
This approach allowed to capture the nuanced variations in gene e xpression during
confrontation with the ECM. Conversely, in confrontation with the pathogens during the MC,
the volcano plots illustrate a broader dispersion of points with higher LFC values, indicating a
notable and pronounced alteration in gene expression.
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Fig. 4: Transcriptomic analysis of fungal confrontations. Experimental setup alongside with depicting
areas of biomass harvest from the zone of interaction (a). PCA plots illustrate differential gene
expression in T. harzianum after three (MC) and six days (DC) (b,c) and in L. bicolor (d,e) based on
the top 500 differentially expressed genes among all conditions.
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Unique genetic response of T. harzianum towards L. bicolor
Overall, the interaction of T. harzianum and L. bicolor during MC (three days) led to the up-
and downregulation of only 67 and 56 DEGs in T. harzianum, respectively (Fig. 5a). This
observation aligns with the previous observations . The changes in the transcriptome of
T. harzianum were small compared to the distinct and pronounced cha nges during
confrontation with F. graminearum and A. alternata, which led to 614 and 1,072 upregulated
DEGs and 1,262 and 893 downregula ted DEGs, respectively. During DC (day six) 366 and
175 genes were significantly up - and downregulated in T. harzianum during interaction with
L. bicolor, whereas the presence of both pathogens led to much more DEGs (2,366 and 1,692
upregulated DEGs during confrontation with A. alternata and F. graminearum, respectively)
(Fig. 5a). After three days of confrontation with the two pathogens, 767 and 483 DEGs were
commonly up- and downregulated in T. harzianum (Fig. 5c,d), while during confrontation with
L. bicolor (TL3), 65 and 46 were uniquely up - and downregulated, respectively. During
overgrowth stage (DC, six days), confrontation with pathogens up - and downregulated 873
and 831 shared DEGs in T. harzianum, while only 75 and 58 DEGs were common also in the
confrontation with L. bicolor (Fig. 5e,f).
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Fig. 5: Number of DEGs (FDR < 0.01) that were up - or downregulated in the co nfrontation of
T. harzianum with L. bicolor (TL), A. alternata (TA), and F. graminearum (TF) compared to the control
condition after three days (MC) (TL3, TA3, TF3) and six days (DC) (TL6, TA6, TF6) (a). Number of
DEGs (FDR < 0.01) that were up- or downregulated in the confrontation of L. bicolor with T. harzianum
(LT) after three and six days (LT3 and LT6, respectively) (b). Venn diagrams showing common and
unique DEGs among the three different confrontations of T. harzianum with L. bicolor (TL), A. alternata
(TA), and F. graminearum (TF) after three days (c,d) and after six days (e,f).
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During MC (three days) , at least 13 genes from among the common and most upregulated
30 DEGs in confrontation with A. alternata (TA3) and F. graminearum (TF3) are known to
play a crucial role in the process of mycoparasitism, clearly showing induction of related gene
cascades already long before direct hyphal contact. On the contrary, during confrontation with
L. bicolor (TL3) those mycoparasitism -related genes rather showed a downregulation
(Table 1). Interestingly, a terpene synthase (M431DRAFT_113113; LFC -0.9) was
significantly downregulated as well . Furthermore, two short and uncharacterized signal
peptide-containing proteins (M431DRAFT_69921, M431DRAFT_129453) were signi ficantly
induced.
Table 1: Genes in T. harzianum with known or predicted functions in the process of mycoparasitism
that were found to be upregulated during the “sensing -phase” in presence of A. alternata (TA3) and
F. graminearum (TF3), but not L. bicolor (TL3), at 3 days post inoculation. Predicted protein names
were retrieved from UniProt and log2 fold-changes (log2FC) of all three confrontations are displayed
and highlighted red for log2FC log2FC > 1 and green for log2FC > 1. Genes which were
removed due to low counts show log2FC of NA. DEGs containing a signal -peptide predicted by
SignalP are marked with a †.
Predicted protein
name Gene ID log2FC
TA3
log2FC
TF3
log2FC
TL3 Assigned GO terms
glucan endo-1,3-
beta-D-
glucosidase†
M431DRAFT_479664 2.84 4.50 0.13
beta-glucosidase
activity
[GO:0008422];
polysaccharide
catabolic process
[GO:0000272]
Carbohydrate-
binding module
family 24 protein†
M431DRAFT_525334 1.87 3.56 - 0.53
glucan endo-1,3-
alpha-glucosidase
activity
[GO:0051118]
Oligopeptide
transporter M431DRAFT_529850 2.45 3.51 - 0.67
oligopeptide
transmembrane
transporter activity
[GO:0035673];
membrane
[GO:0016020]
Peptidase S1
domain-containing
protein†
M431DRAFT_526221 2.13 3.37 - 0.62
serine-type
endopeptidase
activity
[GO:0004252];
proteolysis
[GO:0006508]
Glycoside
hydrolase family 18
protein†
M431DRAFT_509593 2.48 3.30 - 0.23
hydrolase activity
[GO:0016787];
carbohydrate
metabolic process
[GO:0005975]
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Carbohydrate-
binding module
family 13 protein
M431DRAFT_9084 1.73 2.17 - 0.35
carbohydrate
metabolic process
[GO:0005975]
Glycoside
hydrolase family 3
protein, β-
glucosidase†
M431DRAFT_504078 1.65 1.97 - 0.51
hydrolase activity,
hydrolyzing O-
glycosyl compounds
[GO:0004553];
polysaccharide
catabolic process
[GO:0000272]
Chitinase† M431DRAFT_505895 1.46 1.95 - 0.32
chitin binding
[GO:0008061];
chitinase activity
[GO:0004568]; chitin
catabolic process
[GO:0006032];
polysaccharide
catabolic process
[GO:0000272]
Chitinase† M431DRAFT_500888 2.30 1.89 NA
cellulose binding
[GO:0030248];
chitinase activity
[GO:0004568]; chitin
catabolic process
[GO:0006032];
polysaccharide
catabolic process
[GO:0000272]
Amino acid
permease/ SLC12A
domain-containing
protein
M431DRAFT_92558 1.07 1.55 - 0.44
membrane
[GO:0016020]; amino
acid transport
[GO:0006865];
transmembrane
transport
[GO:0055085]
Major facilitator
superfamily (MFS)
profile domain-
containing protein
M431DRAFT_101977 1.65 1.52 0.84
transmembrane
transporter activity
[GO:0022857];
membrane
[GO:0016020]
Glycosyl-
transferase family
32 protein
M431DRAFT_238777 0.94 1.49 - 0.17
alpha-1,6-
mannosyltransferase
activity
[GO:0000009];
carbohydrate
derivative metabolic
process
[GO:1901135]
Chitinase† M431DRAFT_517960 0.74 1.37 0.05
chitin binding
[GO:0008061];
chitinase activity
[GO:0004568]; chitin
catabolic process
[GO:0006032];
polysaccharide
catabolic process
[GO:0000272]
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Gene ontology (GO) analysis of upregulated genes showed clear enrichment (exact Fisher
test, adj. p-value > 0.05) of terms involved in primary metabolic activity, such as “ribosomes”,
“translation” and “carbohydrate metabolic process” (Fig. 6a). This aligns with the phenotypic
observations of increased colony area when T. harzianum was confronted with plant
pathogens. Furthermore, GO terms of “cellulose binding”, “chitinase activity” and “hydrolase
activity” were significantly enriched, corroborating that Trichoderma is able to sense potential
prey already before direct hyphal contact. Conversely, GO enrichment analysis of
upregulated DEGs in interaction with L. bicolor revealed a much more limited outcome with
membrane-related annotation being the only enriched category (Fig. 6b).
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Fig. 6: Gene ontology enrichment analysis of common and unique upregulated DEGs in T. harzianum
during the interaction wit h A. alternata (TA3, TA6) and F. graminearum (TF3, TF6) after three days
(MC) (a) and six days (DC) (c). GO enrichment analysis of DEGs uniquely upregulated in T. harzianum
in presence of L. bicolor after three days (TL3) (b) and six days (TL6) (d). GO terms were assumed
to be significantly enriched with adjusted p-value < 0.05.
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Intriguingly, we identified 57 genes that were differentially expressed in all three test
conditions during MC (three days), but which nevertheless show distinct expression patterns,
according to the lifestyles . Expression profiles of those common DEGs by SOTA method
using Pearson’s correlation revealed two distinct clusters (Fig. 7, Supplementary Fig. S4,
Table S2): 42 genes (cluster 1 ) showed a significant induction in T. harzianum during
confrontation with L. bicolor and significant repression during confron tation with the
pathogens. The remaining 15 DEGs (cluster 2 ), s howed an opposite regulation, being
significantly upregulated during the confrontation with the pathogens and down regulated
during confrontation with L. bicolor. Several DEGs in cluster 1 are assigned to GO terms of
“membrane” and associated with transport activities , as seen above. Interestingly, also a
small secreted protein (M431DRAFT_96469; signal peptide likelihood: 0.99) was significantly
induced in confrontation with L. bicolor with an LFC of 0.83 (FDR 0.001) and downregulated
in presence of A. alternata and F. graminearum with LFC of -0.99 and -1.15 (FDR 2.75E-8
and 1. 45E-6), respectively. Cluster 2 contains se veral DEGs annotated with GO terms of
“hydrolase activity” and a peptidase A4 family protein upregulated with LFCs of 0.80 and 1.01
(FDR 2.96E -11 and 1.23E-7) in confrontation with A. alternata and F. graminearum ,
respectively, and downregulated in confrontation with L. bicolor (LFC of -1.19; FDR 3.7E-14).
GO-term enrichment analysis of T. harzianum genes upregulated at day six of contact with
both pathogens identified “membrane” -related categories, “transport”, as well as “chitin
catabolic processes”, as to be expected during mycoparas itism (Fig. 6c). During interaction
with the ECM, significantly enriched GO terms were pred ominantly associated with
(extracellular) carbohydrate metabolism and cell wall organization (Fig. 6d).
Overall, many pr ocesses related to mycoparasitism were upregulated already in the early
stage of interaction with the two pathogens, while the presence of L. bicolor did not lead to
any strong induction or repression of specific genes. Also during DC, only contact with the
plant pathogens led to clearly recognizable antagonistic gene expression patterns.
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Fig. 7: Heatmap of the 57 common DEGs in T. harzianum after three days during confrontation with
L. bicolor (TL3), A. alternata (TA3) and F. graminearum (TF3) shown as log2 fold change (normalized
to single control of T. harzianum TC3) and clustered based on expression using SOTA.
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Transcriptomic alterations in L. bicolor in confrontation with T. harzianum
To identify ECM genes involved in the interaction with Trichoderma, we next i nvestigated
transcriptomic changes in L. bicolor during MC and DC with T. harzianum. The LFC values
were similarly small as in T. harzianum during interaction with L. bicolor (Supplementary
Fig. S3). PCA analysis of the L. bicolor transcriptome revealed ve ry similar expression
patterns like in the single fungus controls at 3 days (MC) and only clear distinct clustering
during DC (six days; Fig. 4d,e).
During MC, 117 and 329 DEGs were up - and downregulated, respectively, in L. bicolor in
confrontation with T. harzianum (Fig. 5b). Enrichment analysis of upregulated DEGs in
L. bicolor after three days revealed enrichment ( p-adj. < 0.05) of only one GO term, “DNA
binding transcription factor activity ” (GO:0003700), while no pathways in FunCat or KEGG
were significantly enriched (Supplementary Table S4). However, several of the upregulated
DEGs were annotated with FunCat main categories “Transcription”, “Metabolism”, “Protein
with binding function or cofactor requirement”, and “Cellular communication / signal
transduction”. This includes o ne Nrg1 -like Zn -finger transcription factor
(LACBIDRAFT_296037) being significantly induced in presence of T. harzianum, as well as
two SNF2 family DNA-dependent ATPases (LACBIDRAFT_301027, LACBIDRAFT_396054).
Notably, three upreg ulated DEGs ( LACBIDRAFT_240638, LACBIDRAFT_246709,
LACBIDRAFT_248257) were linked to “G-protein coupled receptor signalling, cellular
communication / signal transduction mechanism” pathways, indicating the initiation of
signaling cascades in L. bicolor as potential response to signaling molecules derived by
T. harzianum. Moreover, several of the 117 upregulated DEGs were assigned to
subcategories of the KEGG main pathways “Metabolism”, such as “Biosynthesis of secondary
metabolites”, “Steroid biosynthesis”, “alpha-Linolenic acid metabolism”, “Terpenoid backbone
biosynthesis”, and “Fatty acid metabolism”, potentially representing an activation of
secondary metabolite-based communication.
Interestingly, the most upregulated gene, LACBIDRAFT_304386 (LFC 0.86), was predicted
to be a signal peptide-containing protein (likelihood of 0.99). The third most upregulated DEG
was an oligopeptide transporter (LACBIDRAFT_302225 ; LFC 0.71), suggesting increased
fluxes of metabolites. A slightly upregulated signal peptide -containing (likelihood 0.94)
tripeptidyl-peptidase II (LACBIDRAFT_191088) might indicate a very moderate triggering of
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some defense mechanisms. Moreover, a plasma membrane fusion protein
(LACBIDRAFT_231982), part of the fusion machinery and involved in stabi lizing the plasma
membrane (“mating projection tip” GO:0043332; “plasma membrane” GO:0005886) was
increased by 39%, which could be indicating a reaction of cell wall and membrane remodeling
in response to secreted enzymes or effector proteins by T. harzianum.
The DC condition led to a stronger response, with 2314 and 1743 up - and downregulated
DEGs (Fig. 5b), respectively. Upregulated DEGs revealed enriched GO terms of “oxidation -
reduction process” (GO:0055114), “oxireductase activity” (GO:0016491), “regu lation of
transcription” (GO:0006355), and “metal ion binding” (GO:0046872) (Fig. 8a). From KEGG
main category “metabolism”, the pathways of “oxidative phosphorylation”, “citrate cycle (TCA
cycle)”, “valine, leucine and isoleucine degradation”, “pyruvate m etabolism” and “carbon
metabolism” were significantly enriched, and FunCat categories such as “cellular transport,
transport facilitation and transport routes” (38.4%) “metabolism” (18.4%), “energy” (15.7%),
“protein with binding function of cofactor requi rement” (12.8%), “cell rescue, defense and
virulence” (11.4%), and “interaction with the environment” (1.8%) (Fig. 8b). Among the
transport-related categories , FunCat descriptions of “endoycytosis”, “drug/toxin transport”,
and “ABC transporters” (Fig. 8c) also indicate defense mechanisms. One of those assigned
DEGs was a glutathione transferase (LACBIDRAFT_188517; LFC 5), with known function in
detoxification, as well as a multidrug resistance -associated (MDR) ABC transporter
(LACBIDRAFT_318236, LFC 2), and a pleiotrophic drug resistance (PDR) ABC transporter
(LACBIDRAFT_314719, LFC 2.5).
Furthermore, several Mycorrhiza -induced Small Secreted Proteins (MiSSPs) such as
MISSP6.4 (LACBIDRAFT_316998 ; LFC 5.57 ), MISSP16.2 (LACBIDRAFT_333197 ; LFC
1.9), and MISSP2 2.4 (LACBIDRAFT_303456 ; LFC 0.48 ) were significantly upregulated
during “overgrowth -phase”. MiSSPs are known to play various roles in plant -fungus
interactions, functioning as signaling molecules or effectors.
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Fig. 8: Gene ontology enrichment analysis of upregulated DEGs in L. bicolor in presence of
T. harzianum after six days of co -cultivation (DC) (a). FunCat enrichment analysis of upregulated
DEGs in L. bicolor during DC (six days) with T. harzianum . Significant enriched FunCat main
categories (b) and enriched subcategories of “Cellular transport, transport facilitation and transport
routes” (c). GO terms and FunCat categories were assumed to be significantly enriched with adjusted
p-value < 0.05.
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4 Discussion
Fungi engage in diverse interactions with their environment including nearby organisms. The
fungi used in this study ( Trichoderma spp., Laccaria spp., Hebeloma spp., Fusarium spp.,
and Alternaria spp.) can all be found in the soil and rhizosphere and occupy similar
environmental niches, while nevertheless having different lifestyles (Hagn et al., 2003). The
interactions between two fungal species can manifest as either antagonistic, parasitic,
neutral, or synergistic, each yielding distinct outcomes , both for the fungi as well as for
potentially involved further interaction partners, such as plants (Venturi & Keel, 2016; Whipps,
2001). One can assume that it would be in the interest of the plants to maximize the number
of plant -beneficial microorganisms in their rhizosphere. Trichoderma spp. are particularly
interesting in this regard, since mycotrophy is thought to be an ancient trait of the entire genus,
while many have been shown to work as plant fertilizers (Druzhinina et al., 2011). However,
whether the application of Trichoderma comes at the expense of overall fungal biodiversity,
including plant -beneficial fungi, or is somewhat selective, is controversial so far. A risk
assessment when considering Trichoderma spp. as biocontrol measure was therefore
suggested already early on, requiring to identify the effect on the target (pathogen) population
while evaluating negative effects on non -target (native and plant -beneficial) fungal species,
which would have detrimental consequences for the host plant (Brimner & Boland, 2003).
Trichoderma viride and T. polysporum, for example, can have a significant impact on ECM,
since these species were found to strongly inhibit mycorrhization of black spruce seedlings
by L. bicolor (Summerbell, 1987) . Conversely, the application of the Trichoderma bio-
inoculant ArborGuard™ on Pinus radiata seedlings did not adversely affect the ECM
colonization in a nursery system, but did also not promote seedling growth (Minchin et al.,
2012). Another study investigated the impact of T. virens on pre-mycorrhized Pinus sylvestris
roots. Intriguingly, while a decreased spore germination of Trichoderma was monitored in the
rhizosphere, indicating the presence of dampening plant - or ECM -derived processes, the
overall plant viability was influenced positively (Werner et al., 2002). The described inhibitory
effect of ECM towards Trichoderma spp. was observed across various in vitro and in planta
experimental setups (e.g. Guo et al., 2019; Minchin et al., 2012; Summerbell, 1987; Werner
et al., 2002 ). A similar inhibitory effect of the related ECM Laccaria laccata towards
Trichoderma virens in co-culture was already described by Werner et al. (2002). Moreover,
Summerbell (1987) reported the absence of typical hyphal structures of T. viride towards
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L. bicolor during their interaction, and Zadworny et al. (2007) also described a decreased
colony area of T. virens and T. harzianum during co-culture, as well as altered microtubular
cytoskeleton structures in the interaction zone of both fungi, with more pronounced effects in
the saprotrophic strains, indicating a stress response.
Likely, the variable outcomes of interaction studies are strongly influenced by the
experimental setup, such as space and nu trients, which can unintentionally force the
interactions into a specific direction. Our results now demonstrate that in the presence of
enough space, Trichoderma spp. prefer to grow away from ECMs and do not initiate
mycoparasitic programs (either at the physiological or molecular level ), that occur in the
presence of pathogens long before direct physical contact. These results are in support of a
hypothesis arguing in favor of regulatory processes that have evolved to maximize the
number of plant-beneficial fungi in the rhizosphere.
Trichoderma are attracted by plant-pathogens and avoid ECM
The dual confrontation assays performed in this study revealed intriguing insights into the
response of Trichoderma towards fungi of different lifestyles. Co -culture s ystems are
representing a forced competition of two organisms to decide on the fate of the limited
resources in confined spaces. Notably, Trichoderma strains displayed varying inhibitory
effects against F. graminearum , A. alternata , H. cylindrosporum, and L. bicolor during
different contact conditions. T. harzianum exhibited stronger inhibitory effects towards
F. graminearum and A. alternata , especially during MC, suggesting its robust potential to
produce diffusible, non -volatile secondary metabolites havi ng a significant effect on the
growth of plant -pathogenic fungi (Guo et al., 2019; Küçük & Kivanç; Qualhato et al., 2013;
Sood et al., 2020).
Fungal interactions are facilitated through the exchange of signaling molecules, which are
released and secreted by one fungal species and subsequently perceiv ed by receptors
present in the other participating species (Carreras-Villaseñor et al., 2012; Raut et al., 2014;
Zeilinger & Atanasova, 2020). Fungal VOCs are organic chemicals with low molecular weight
that originate from metabolic processes within the fungus, evaporate easily at moderate
temperature (Macías-Rodríguez et al., 2015) and participate in the communication between
fungal species (Guo et al., 2019; Guo et al., 2020; Weikl et al., 2016; Wonglom et al., 2020).
Several studies suggest that fungal VOC profiles are similar for fungi with comparable
lifestyles (El Jaddaoui et al., 2023; Farh & Jeon, 2020; Guo et al., 2020; Guo et al., 2021;
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Müller, Faubert et al., 2013; Razo -Belmán et al., 2023) and also Trichoderma species have
been demonstrated to produce several volatiles (many being sesquiterpenes), as well as
receive, and respond to VOCs (Guo et al., 2019; Guo et al., 2020; Huang et al., 2022; Macías-
Rodríguez et al., 2020; Nosenko et al., 2023; Rajani et al., 2021; Ruangwong et al., 2021). It
is already well-known that VOCs are pivotal in orchestrating inter-species and inter-kingdom
signaling within the rhizosphere, a dynamic environment, where various organisms interact
(Faure et al., 2009; Werner et al., 2016). They exert influence on growth, defense responses,
and behavior of other organisms, with some VOCs exhibiting toxic properties (Hacquard &
Schadt, 2015; Sivaprakasam Padmanaban et al., 2022) . However, the underlying
mechanisms behind these effects and perception mechanisms ar e poorly understood
(Hacquard, 2017; Werner et al., 2016).
In line with our results, earlier in vitro co-cultivation scenarios of different Trichoderma strains,
including T. harzianum WM24a1, with the ECM L. bicolor already revealed a stronger
inhibitory effect of the ECM on the biocontrol strain than the other way around (Guo et al.,
2019). The highest VOC emission rate was thereby detected when the two fungi were
separated by several cm from each other, indicat ing VOCs to be an important tool for long -
range inter-species communication and recognition. The upregulation of several metabolic
KEGG pathways associated to “Biosynthesis of secondary metabolites”, “Steroid
biosynthesis”, “alpha -Linolenic acid metabolism ”, “Terpenoid backbone biosynthesis”, and
“Fatty acid metabolism”, which we now identified in L. bicolor in our setup, might reflect the
ECM’s response to increased VOC emission rates of T. harzianum already at a distance.
The introduced olfactometer “rac e-tube”-like system now allowed us to observe a strongly
accentuated directional growth behavior of Trichoderma spp. compared to the conventional
plate confrontation assays, demonstrating the positive or negative chemotropism in response
to different fungal partners already at a distance and over time. In contrast to plate assays,
which lack the capability for directional growth selection, the new system facilitates
investigations into interactions spanning longer distances, enabling a choice of growth
direction, as it would be the case under most natural conditions. The growth direction is
influenced by soluble prey -derived molecules that are involved in fungal chemotropism by
acting either as a chemoattractant (positive chemotropism) or as a chemorepellent (negative
chemotropism) (Kullnig et al., 2000; Moreno -Ruiz et al., 2021) . Our experiments revealed
consistent directional growth behavior of both Trichoderma strains towards the plant
pathogens and away from ECM, even in the absence of soluble biochemicals or metabolites,
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suggesting a significant role for VOCs in shaping the overall perception and observed
physiological response. This underscores the importance of VOCs as potent mediators within
the system, exerting a substantial impact on the inter -species interactions. Therefore, the
developed olfactometer “race tube” -like system now enables further investigation of VOC-
based fungal interactions and perceptions to screen for chemotropic growth.
Transcriptomic differences in T. harzianum and L. bicolor
The complex process of mycoparasitism is initiated by prey recognition, directed
chemotrophic growth towards the prey, followed by direct attack through (bio -)chemical and
physical mechanisms, ultimately leading to death and nutrient release (Chet et al., 1981;
Harman, 2006; Moreno-Ruiz et al., 2020; Steindorff et al., 2014) . Importantly, the process is
signal-dependent, relying on specific inter-species recognition mechanisms (Moreno-Ruiz et
al., 2020; Sarm a et al., 2014; Zeilinger & Omann, 2007) . As the fungi are growing towards
each other, they are constantly sensing their environment, and specific downstream signalling
cascades are initiated based on the given abiotic and biotic conditions (Bahn et al., 2007;
Hinterdobler et al., 2021; Turrà & Di Pietro, 2015; Zeilinger & Atanasova, 2020) .
Transcriptomic analysis revealed plenty of common DEGs in T. harzianum during
confrontation with the pathogens, while the confrontation with L. bicolor led to distinct - and
much more moderate - expression patterns. These observations confirm the lifestyle-specific
recognition between the fungi on the mo lecular level , leading to staging of a rapid and
conserved mycoparasitic attack in case of the pathogens and literally a much more “relaxed”
communication process in case of the ECM. Trichoderma spp. produce extracellular
chitinases and proteases in a cons titutive manner, leading to enzymatically released chito -
oligosaccharides and oligo-peptides in the presence of potential prey, which are sensed and
initiate the expression of mycoparasitism-related genes (Benítez et al., 2005; Brunner et al.,
2003; Druzhinina et al., 2011; las Mercedes Dana et al., 2001; Seidl et al., 2009) . During
confrontation with A. alternata and F. graminearum three chitinases, belonging to the
hydrolase family 18, were upregulated in T. harzianum already at distance (three days, MC),
while the presence of L. bicolor did not activate these genes. Additionally, several gene s
annotated with hydrolase activity, such as an endo -1,3-β-D-glucanase
(M431DRAFT_479664) and a peptidase S1 domain -containing protein
(M431DRAFT_526221), presumably involved in fungal cell wall degradation and proteolysis,
were induced during confrontations with A. alternata and F. graminearum, but downregulated
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during confrontation with L. bicolor . These results are in line with another comparative
transcriptomic analysis that revealed a clear upregulation of mycoparasitism-related genes in
T. atroviride, T. reesei, T. virens, as well as T. harzianum before direct physical contact with
a fungal prey (Atanasova et al., 2013; Wang et al., 2024). The absence of induction of those
genes during confrontation with L. bicolor is speaking in favour of a non -aggressive
interaction. Nonetheless, the question whether this is the re sult of a self -governed decision
by Trichoderma or is enforced by repressive or inhibitory metabolites produced by L. bicolor
remains open so far. However, L. bicolor displayed only minimal transcriptomic changes in
this situation, suggesting a lack of aggressive adaptations.
Next to VOCs, signalling molecules and prey-derived oligo-peptides are assumed to act as
ligands for G -protein-coupled receptors (GPCRs) that are involved in transduction of
extracellular signals to intracellular-signaling networks in fungi (Xue et al., 2008) and part of
the prey-sensing cascade in Trichoderma (Brunner et al., 2008; Hinterdobler et al., 2021; Lin
et al., 2019; Seidl et al., 2009; Zeilinger & Atanasova, 2020) . Signal reception triggers
downstream events via signal transduction mechanisms (Bahn et al., 2007; Carreras -
Villaseñor et al., 2012) , which play a pivotal role in orchestrating the expression of specific
sets of genes that govern the ultimate outcome of the interaction between two fungal species
(Sarma et al., 2014) . During MC, we identified three upregulated genes
(LACBIDRAFT_240638; LACBIDRAFT_246709; LACBIDRAFT_248257) in L. bicolor in
presence of T. harzianum, which are annotated with FunCat categories “GPCR signalling”,
“cellular communication”, and “signal transduction mechanism”. Furthermore, the
upregulation of transcription factor Nrg1 in L. bicolor , has a putative function in carbon
catabolite repression (Daguerre et al., 2017) and is involved in gene regulation of stress -
response to salt and oxidative stress in Saccaromyces cerevisiae and Ustilago maydis
(Sánchez-Arreguin et al., 2021).
Also in T. harzianum , a rhodopsin domain -containing protein (M431DRAFT_155394)
belonging to the GPCR rhodopsin family A (Harmar, 2001), was significantly downregulated
in presence of L. bicolor and induced during confrontation with the pathogens. Additionally, a
3’,5’-cyclic-nucleotide phosphodiesterase (M431DRAFT_74093) was found to be significantly
upregulated in T. harzianum during MC with L. bicolor, indicating modulation of intracellular
levels of cyclic nucleotides, such as cyclic adenosine 3’,5’ monophosphate (cAMP). Those
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messenger molecules are synthesized from ATP by adenylate cyclase activity and activate
the cAMP -dependent protein kinase, leading to gene expression regulation by
phosphorylation of e.g. transcription factors (Sun et al., 2022) . Biogenic VOCs emitted by
post-harvested tomatoes, specifically ethylene and benzaldehyde, were identified as active
compounds found to be tightly bound to GPCRs in B. cinerea, leading to a lack of signal
transduction to the cAMP pathway, resulting in reduced pathogenicity of the plant -pathogen
(Lin et al., 2019). The detected differential regulation of signal transduction -related genes in
L. bicolor and T. harzianum, as well as the altered VOC emission profiles observed by Guo
et al. (2019) during co-cultivation emphasize a VOC-mediated inter-species interaction and
GPCRs signal transduction, with a distinct outcome of negative chemotropism and no
induction of mycoparasitism-related cascades in T. harzianum.
Signal-peptide containing proteins have already been described as effectors in beneficial
plant-fungus interactions (Plett et al., 2011) , as well as in fungus -fungus interspecies
interactions (Feldman et al., 2020) . Interestingly, we identified the un ique upregulation of a
small-secreted protein (SSP) (M431DRAFT_96469) in T. harzianum in the presence of
L. bicolor, while it was downregulated during confrontation with A. alternata and
F. graminearum during MC . This SSP is a homologue (>90% sequence iden tity) of the
cysteine-rich effector Tsp1 in T. virens, which was found to be induced in the presence of
maize (Lamdan et al., 2015) and banana roots (Muthukathan et al., 2020) , indicating an
involvement in Trichoderma-plant interaction and plant defence modulation. Gupta et al.
(2021) analysed the function of Tsp1 in T. virens and identified structural similarity with the
two fungal effector proteins PevD1 (Bu et al., 2014) and Alt a1 (Chruszcz et al., 2012), which
are both interacting with plant defence proteins. The upregulation of this effector in
T. harzianum confrontation with L. bicolor is a new finding and suggests an additional
involvement in fungal inter-species interactions.
Also in L. bicolo r, several short signal peptide -containing proteins were significantly
upregulated during confrontation with T. harzianum, which might modulate the interaction by
acting as secreted effector proteins. While ECM fungi are characterized by a restricted
number of carbohydrate-active enzymes (CAZymes), their repertoires of secreted proteases
and lipases is similar to saprotrophic fungi, and their secretomes are enriched in SSPs
(Pellegrin et al., 2015) . Further studies are needed to investigate the role of those detected
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and potentially secreted proteins in L. bicolor . Moreover, considering the plant roots as
holobiont, further investigation into the influence of th e host plant on the interaction of
T. harzianum and L. bicolor on the mycorrhized roots is required to gain further insights into
the fungus-fungus signaling mechanisms and the influence of the plant on the overall outcome
of the tripartite interaction.
Concluding, we explored the complex interactions between Trichoderma spp. and fungal
partners of different lifestyles, including two plant -beneficial ectomycorrhizal fungi (L. bicolor
and H. cylindrosporum), and two plant -pathogenic fungi (F. graminearum and A. alternata),
all potentially interacting within the rhizosphere of poplars. The present work allows insight
into the distinct interactions of Trichoderma with ECM or pathogens , and sheds light on the
multifaceted responses of Trichoderma towards root-associated fungi of different lifestyles ,
speaking in favor of a clear potential to distinguish between plant’s friend and foes during
mycoparasitic confrontations. The described phenomenon of ECM avoidance already at a
distance highlights the potential of Trichoderma spp. as a promising biocontrol agent and
plant biofertilizer, while emphasizing the complexities of its interactions with various fungal
associates.
Acknowledgments
The authors sincerely thank Karin Pritsch (H elmholtz Munich, Research Unit Environmental
Simulation) for valuable advice and Sascha Schäuble (Department of Microbiome Dynamics,
Hans-Knöll-Institute) for support with gene ontology analysis. Furthermore, we thank
Franziska Vorwerk for excellent technical assistance.
Competing interests
The authors declare that they have no competing interests.
Author contributions
JPB, MR, PS and TK planned and designed the research. PS performed the experiments.
PS, PBSP and JK analyzed data. PS wrote the manuscript. JPB, TK, MR and JPS reviewed
and edited the manuscript.
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Data availability
Raw sequencing data is deposited on NCBI SRA server and can be accessed under
BioProject number PRJNA1100411 and BioSample numbers SAMN40968214-
SAMN40968225.
Funding
The project was supported by Deutsche Forschungsgemeinschaft (DFG project number BE
6069/4-1 to PhB and DFG project number RO 6311/4-1 to MR)
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