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Microbiology Spectrum logoLink to Microbiology Spectrum
. 2025 Jun 12;13(8):e00226-25. doi: 10.1128/spectrum.00226-25

Comparative transcriptomics reveal contrasting strategies between a fungal plant pathogen and an endophyte during initial host colonization

Soumya Moonjely 1, Frances Trail 1,2,
Editor: Giuseppe Ianiri3
PMCID: PMC12323313  PMID: 40503835

ABSTRACT

Conidial germination marks the beginning of the fungal life cycle on the host plant, leading to disease or mutually beneficial relationships. Using comparative transcriptomics, we aim to unravel the transcriptional similarities and differences of Fusarium graminearum (plant pathogen), and Metarhizium anisopliae (endophyte), during conidial germination and initial colony establishment, to identify the key traits that support their distinct lifestyles. F. graminearum and M. anisopliae belong in the order, Hypocreales. However, their contrasting roles as pathogen and endophyte provide an excellent model for exploring initial colony establishment on the hosts. Our comparison crosses four stages including fresh conidia, polar growth, hyphal extension, and first hyphal branching (on medium) or appressorium formation (on barley). F. graminearum exhibited a higher number of upregulated genes associated with host interactions, including genes for CAZymes, specialized metabolites, and effectors, particularly during the appressorium stage, reflecting its pathogenic nature. By comparison, analysis of the M. anisopliae transcriptome revealed reduced transcript levels of CAZyme and specialized metabolite genes, reflecting a less aggressive host penetration approach. The candidate genes associated with indole-3-acetic acid synthesis were upregulated during the appressorium stage in M. anisopliae, supporting its endophytic lifestyle, and suggesting that the fungus uses a phytohormone-based strategy to interact with plant hosts. Collectively, our findings provide valuable insights into the gene networks directing conidial germination and initiation of infection in pathogenic versus endophytic fungi, as well as documenting appressorium formation of M. anisopliae for the first time in barley.

IMPORTANCE

Conidial germination is the initial step for fungal colonization in diverse environments. Here, we examine the transcriptional similarities and differences in conidial germination and colony establishment of Fusarium graminearum and Metarhizium anisopliae, two fungal species with distinct lifestyles belonging to the Order Hypocreales. F. graminearum is a plant pathogen and the causal agent of Fusarium head blight on cereal crops, whereas M. anisopliae is an insect pathogen and root endophyte which forms beneficial associations with plants. We compared the transcriptome profiles of these species under two nutrient conditions across four developmental stages of conidial germination. Our study shows that the expression profile of genes encoding carbohydrate-active enzymes, specialized metabolites, and putative effectors varies between F. graminearum and M. anisopliae. The results of this study provide insights into gene networks associated with spore germination stages on the host in a pathogenic vs an endophytic fungus.

KEYWORDS: Fusarium graminearum, Metarhizium anisopliae, conidial germination, RNA sequencing, plant host colonization, CAZymes, specialized metabolites, effector proteins

INTRODUCTION

Conidial germination is an important step in the life cycle of many fungal species for growth, survival, and reproduction. It is also a key step in fungal pathogenesis as the initial adhesion of the fungal conidia and subsequent steps, including germination and infection structure formation, are critical for the persistence of fungi in the host (1). After dispersal of conidia into the environment, germination marks the initiation of fungal growth to establish new colonies. During germination (Fig. 1), conidia break dormancy (Stage 1) through isotropic swelling to initiate metabolic activities (24); begin polar growth (Stage 2), characterized by the emergence of the germ tube; proceed through hyphal extension (Stage 3); and, depending on the substrate, extend hyphal growth through branching (Stage 4) or forming appressoria (Stage 4), specialized infection structures. Appressoria breach the physical barrier of the host epidermis, resulting in fungal entry into the inner host tissues (5). Several studies have reported the significant role of environmental factors, including nutrient availability, light, humidity, and temperature, on conidial germination (1, 68). Variation in the lifestyles of fungi also influences the stages involved in conidial germination and appressorium formation (5, 911). Elucidating gene expression patterns involved in each stage is important for managing fungal growth on hosts.

Fig 1.

Time-course microscopy sequence presents Fusarium graminearum and Metarhizium anisopliae development on potato dextrose agar and barley, depicting conidia germination, hyphal branching, and appressoria formation .

Time course and morphology of conidial germination stages in F. graminearum and M. anisopliae under two growth conditions on media and on barley. C, conidium; G, germ tube; H, hypha; B, hyphal branching; A, appressorium. Scale bars: 20 µm (F. graminearum); 5 µm (M. anisopliae). Stage 1: Fresh conidia; Stage 2: Polar growth; Stage 3: Hyphal extension; Stage 4: First hyphal branching (PDA) or appressorium (barley).

Comparative transcriptomics is a valuable approach to gaining a deeper understanding of changes in gene expression patterns associated with alternate lifestyles among related fungal species. The technique provids information on the genetic basis of specific adaptations, such as those related to pathogenicity, symbiosis, and response to environmental stress. Additionally, comparative transcriptomics reveals how gene expression patterns have diverged or remained conserved across related species, providing insights into the molecular mechanisms of evolution and adaptation (1215). Previously, we applied the technique to identify the molecular mechanisms involved in conidial germination of Fusarium graminearum (Order Hypocreales) and Magnaporthe oryzae (Order Magnaporthales), both pathogenic to hosts in the Poaceae. The comparative transcriptomic approach revealed that the two species displayed similar gene expression patterns for the pre-penetration stages (16). However, substantial divergence in expression patterns between the two species was observed during appressorium formation. The study provided information on gene function associated with pathogenesis in fungal species of Orders Hypocreale and Magnaporthales. In the present study, F. graminearum and Metarhizium anisopliae were compared, having different lifestyles, but both belonging to the Order Hypocreales.

Mutualistic and pathogenic fungi show distinct spore germination mechanisms on hosts, regulated by the activation of specific gene sets, due to their contrasting ecological roles and interactions with their plant hosts. Phytopathogenic fungi often express virulence factors and may employ strategies to weaken the host’s defense system, including producing enzymes, toxic metabolites, or invasive structures to breach the host’s barriers (1722). Mutualistic fungi have evolved mechanisms to recognize and interact with their compatible hosts, often exhibiting a relatively passive colonization process where both partners benefit or only one partner benefits without harming the other (23, 24). Here, we analyze and compare the transcriptomic profiles of F. graminearum and M. anisopliae under two nutrient conditions (on medium and on the host) across four phases of conidial germination. F. graminearum is a mycotoxigenic phytopathogen that causes severe economic losses to cereal growers worldwide as the causal agent of Fusarium Head Blight (FHB) affecting wheat, barley, oats, and maize (25, 26). The FHB disease cycle is initiated when spores (conidia and/or ascospores) are deposited on the spikelets of a host plant, germinate, and form infection structures (27). M. anisopliae is an endophytic fungus that primarily colonizes root tissues of both monocots and dicot plants without causing any disease symptoms (2830). In addition, M. anisopliae is a well-known insect pathogen with a wide host range (31, 32) and has the ability to transfer nitrogen from infected insects to plant hosts in exchange for carbon, thereby forming mutualistic associations with plant hosts (30, 33). While the process of conidial germination and subsequent penetration of insect hosts is well documented, there is little information on the gene expression changes during the initial stages of interaction with plants. Here, we used transcriptome analysis of the spore germination stages of M. anisopliae and compared them to the same stages in F. graminearum, to understand the adaptive mechanisms employed by each species during initial colonization on the host. F. graminearum is phylogenetically closely related to M. anisopliae. Moreover, F. graminearum possesses a well-annotated genome, and its infection process has been extensively characterized, making it a valuable reference for comparative analysis. A comparative overview of the taxonomic classification, lifestyle, and genomic features of F. graminearum and M. anisopliae is given in Table 1. To follow host infection, barley leaf sheaths were inoculated with conidia from F. graminearum, and barley roots inoculated with M. anisopliae were studied. We focused on the expression profile of the genes encoding carbohydrate-active enzymes, specialized metabolites, and putative effectors across four stages of conidial germination, as these genes play critical roles in early fungal colonization on plants.

TABLE 1.

Comparison between F. graminearum and M. anisopliae

F. graminearum M. anisopliae
Class Sordariomycetes Sordariomycetes
Order Hypocreales Hypocreales
Family Nectriaceae Clavicipitaceae
Lifestyle/ pathogenicity Soil saprophyte; plant pathogen; causes Fusarium Head Blight in cereals, stalk rot and ear rot in maize Soil saprophyte; insect pathogen; endophyte; causes green muscardine disease in insects
Host Major pathogen of cereal crops; infects both monocots and dicot plants Major pathogen of insects; colonizes endophytically both monocot and dicot plants
Genome size ~36 Mb ~38 Mb
No. of predicted genes ~14,000 ~11,000

MATERIALS AND METHODS

Fungal isolates and experimental design

Wild-type (WT) F. graminearum (PH-1, NRRL31084) and M. anisopliae (ARSEF 549) cultures were routinely grown on V8 agar at room temperature (RT, 22–24°C) and Potato Dextrose Agar (PDA, Neogen, Lansing, MI, USA) at 24°C, respectively. For both cultures, colonized agar blocks were stored long-term in 35% glycerol at −80°C. Conidia were generated for F. graminearum in carboxymethyl cellulose broth (CMC) in shaker culture in the dark for 5 days and then separated from hyphae by filtration through a double layer of Miracloth (Sigma-Aldrich Inc, St. Louis, MO, USA). Conidia were collected by centrifugation, rinsed three times in sterile distilled water (dH2O), and resuspended in sterile dH2O to a final concentration of 1 × 106 conidia/mL. For M. anisopliae, fresh conidia were produced in cultures grown in the dark on PDA for 10–12 days. Conidia were collected by flooding the plates with sterile 0.01% Triton X-100 in dH2O, rinsed, and adjusted to 1 × 106 conidia/mL as for F. graminearum. For germination studies, PDA, which supports the conidial germination of both species, was used as a common garden environment. A 200 µL aliquot of the conidial suspension of each species was inoculated onto a sterile cellophane sheet (Research Products International, Mount Prospect, IL, USA) overlaid on PDA in a Petri dish (60 × 15 mm). Petri dishes containing inoculated sheets were then incubated at RT in continuous light (14-Watt, 6,500 K, T12 white) till the conidia reached the appropriate germination stage. For F. graminearum, cellophane sheets from 30 plates were collected for each of three replicates, and total RNA was extracted from each germination stage. For M. anisopliae, cellophane sheets from 60 plates were pooled for RNA extraction for each replicate of each germination stage.

Barley leaf sheaths or roots were used to generate the transcriptome of conidial germination of the two species on the host. Leaf sheaths from 3-week-old barley seedlings were used to generate the transcriptomic profile of F. graminearum during initial pathogenesis. Hordeum vulgare, cultivar “Stander,” was grown in Suremix medium (Michigan Grower Products, Inc., Galesburg, MI, USA) under greenhouse conditions (22°C with a photoperiod of 16:8 h light:dark cycle). A conidial suspension of F. graminearum was prepared as described above, except the final concentration was adjusted to 2.5 × 106 conidia/mL. To monitor germination stages, a 50 µL aliquot of conidial suspension was inoculated onto detached barley leaf sheaths (4–5 cm long) placed in a Petri dish lined with a moist filter paper to maintain humidity. The culture dishes were then incubated at RT in continuous light. One replicate consisted of 20 barley leaf sheaths inoculated with F. graminearum, collected for each germination stage for total RNA extraction. Three independent biological replicates were prepared for each germination stage of F. graminearum and M. anisopliae. Barley roots (cultivar “Stander”) were used to examine conidial developmental stages on the host. Surface-sterilized barley seeds were germinated on 1% water agar. Germinated barley seedlings (4–5 days old) were transferred to a Petri dish, and 200 µL of the conidial suspension (2.5 × 106 conidia/mL) was spread over the roots of each seedling and incubated at 24°C. The roots of five barley seedlings were collected for each stage, and RNA was extracted. Each fungal germination stage on barley or PDA was examined and documented with light microscopy to confirm that at least 80% of the conidia reached the designated germination stage. Chlorazol black E and trypan blue were used to stain the F. graminearum and M. anisopliae cells on the host, respectively (16).

cDNA library preparation and RNA-sequencing

Total RNA of F. graminearum and M. anisopliae grown on cellophane membranes and on host tissue was isolated using Trizol reagent (Thermo Fisher Scientific, Waltham, MA, USA), as per manufacturer’s instructions. Harvested RNA was treated with RNase-Free DNase (Qiagen, Hilden, Germany), purified further using RNA Clean and Concentrator - 5 (ZymoResearch, Irvine, CA, USA), and quantified using the Qubit Fluorometer (Invitrogen, Carlsbad, CA, USA). The integrity and quality of RNA samples were analyzed on High Sensitivity RNA ScreenTape (Agilent Technologies Inc., Santa Clara, CA, USA). The samples measuring with RNA integrity numbers greater than seven were submitted for RNA sequencing at the Research Technology Support Facility (RTSF) Genomics Core at Michigan State University (East Lansing, MI, USA, https://rtsf.natsci.msu.edu/). The cDNA libraries were prepared using the Illumina Stranded mRNA Library Prep Kit (Illumina, Inc., San Diego, CA, USA), and library sequencing was performed using either the HiSeq4000 (single-end, 50 bp) or the NovaSeq6000 (single-end, 100 bp) Illumina (Illumina, Inc., San Diego, CA, USA) platform. Sequences were stored in FASTQ format.

RNA-seq and differential expression analysis

The quality of the RNA-sequencing raw reads of transcriptome from conidial germination stages of F. graminearum and M. anisopliae was assessed with FastQC, and the low-quality reads were removed using the read filtering tool, Trimmomatic, Version 0.39 (34). The 3′ ends of NovaSeq6000 single-end 100 bp reads were trimmed to 50 bp reads (keeping the first 50 bp) using Trimmomatic Version 0.39. The reference genome assemblies of F. graminearum (35) and M. anisopliae (36) were obtained from EnsemblFungi (http://fungi.ensembl.org/). The trimmed reads were mapped to the indexed F. graminearum or M. anisopliae reference sequences using HISAT 2.2.1 (37). The HISAT alignments in SAM format were then sorted and converted to BAM format using SAM tools (38). Count files were then generated using HTSeq Version 0.11.1 (39). Gene expression patterns in germination Stages 2, 3, and 4 were compared to Stage 1. The DESeq2 package Version 1.30.1 in R was used to normalize the read counts and to perform differential expression analysis. Heatmaps were generated using pheatmap 1.0.12, and row z-scores were used to scale the expression between samples. For each species, the Differentially Expressed Genes (DEGs) for germination Stages 2, 3, and 4 compared to Stage 1 were identified using DESeq2. The genes with Log2 Fold Change (LFC) ≥2 and adjusted P-values (p-adj) ≤0.01 were designated as upregulated, and the genes with LFC ≤ −2 with p-adj ≤0.01 were designated as down-regulated. To further assess the variability among biological replicates, PCA was performed on the rlog-transformed values of transcriptome data of PDA and in planta samples.

Annotation and databases

Carbohydrate-active enzymes (CAZymes) of F. graminearum and M. anisopliae were predicted using the dbCAN2 meta server (https://bcb.unl.edu/dbCAN2/index.php) HMMER: dbCAN, DIAMOND: CAZy, and HMMER: dbCAN-sub packages (40). Proteins were predicted to be CAZymes when at least two packages of the dbCAN meta server identified a query protein as a CAZyme, and these predicted CAZyme proteins were selected for further analysis. The dbCAN2 metaserver classified CAZymes according to their activity, such as glycoside hydrolases (GH; enzymes involved in the hydrolysis of glycosidic bonds), glycoside transferases (GT; enzymes involved in the formation of glycosidic bonds), polysaccharide lyases (PL, enzymes involved in the non-hydrolytic cleavage of glycosidic bonds), carbohydrate esterases (CE; enzymes involved in the hydrolysis of carbohydrate esters), and auxiliary activities (AA; redox enzymes that act in conjunction with CAZymes). In addition, a non-catalytic class of CAZymes, carbohydrate binding modules (CBM; adhesion to carbohydrates), has also been described (http://www.cazy.org). Specialized metabolite gene clusters were detected in M. anisopliae with the antiSMASH 6.0 (fungal version) web server (41). We examined the expression specialized (secondary) metabolite gene clusters that have been identified in the genome of F. graminearum previously (4245). The selected CAZymes and specialized metabolite genes were compared with those identified in previous studies (36, 44) and other databases (http://www.cazy.org and https://mycocosm.jgi.doe.gov/mycocosm/home). EffectorP v 2.0 (46) was used to identify putative effector proteins. SignalP-5.0 was used to detect the presence of signal peptides. Transmembrane domains were detected using DeepTMHMM. We selected the genes with Log2 Fold Change (LFC) ≥ 5 and adjusted P-values (p-adj) ≤0.01 for CAZyme, specialized metabolite, and effector gene expression analysis. Gene ontology (GO) (47) and Metacyc metabolic pathway analyses (48) were performed using FungiDB (49) with P-values < 0.05 considered statistically significant.

RESULTS

Transcriptome analysis of conidial germination stages on medium and on the hosts

Spore germination in F. graminearum and M. anisopliae Stage 1 (fresh spores), Stage 2 (polar growth or germ tube formation), Stage 3 (hyphal extension), and Stage 4 (first hyphal branching in PDA or appressoria formation in the host) were morphologically characterized, and transcriptome profiles were completed on PDA and on barley (Fig. 1). A difference in developmental time course between the growth conditions was not observed in Stages 2 and 3 in F. graminearum. At 11 hours (h) on PDA, the first hyphal branches were initiated, while the formation of infection structures on leaf sheaths was observed after 42 h. The majority of M. anisopliae conidia reached Stages 2, 3, and 4 in PDA at 10 h, 19 h and 28 h, respectively, whereas on the host, the respective germination stages were reached by 7 h, 15 h, and 26 h.

The analysis of the transcriptomes of the conidial germination stages showed that the appressorium stages in F. graminearum and M. anisopliae were transcriptionally divergent compared to other germination stages. Principal Component Analysis (PCA) plots revealed that germination stages of F. graminearum (Fig. 2A) and M. anisopliae (Fig. 2B) were grouped separately on PDA and on barley, displaying the differences in transcriptome profiles between these artificial and natural conditions. Clustering also revealed similarity of gene expression profiles among biologically independent replicates, indicating a high level of replicability for the samples. The DEGs in F. graminearum and in M. anisopliae for all germination stages under both conditions are presented in Tables S1 and S2, respectively. The numbers of downregulated DEGs for all stages of F. graminearum grown on PDA were higher compared to those grown on barley. A higher number of upregulated DEGs compared to downregulated DEGs were observed specifically during the appressorium stage on the host (Fig. 2C; Fig. S1A through F), suggesting a dynamic gene activation process during host colonization. For M. anisopliae, the number of upregulated DEGs was higher than the number of downregulated DEGs for all stages in both nutritional conditions (Fig. 2D; Fig. S2A through F). The numbers of shared and unique upregulated DEGs among the germination stages on PDA and barley (Fig. 3A through D) demonstrated that the appressorium stage is transcriptionally highly divergent from the rest of the germination stages in both species. We performed k-means clustering of DEGs to identify the top 100 genes that show variation in expression between two nutritional conditions. The appressorium stage showed a higher level of variation in the expression of genes in both species. In F. graminearum, the variable genes with higher expression levels were associated with specialized metabolite biosynthesis (Cluster 1) and carbohydrate metabolism (Cluster 3) (Fig. S3A). In M. anisopliae, cluster 4 contains the highly variable up-regulated genes for the appressorium stage that were associated with fatty acid metabolism, specialized metabolite biosynthesis, and effector protein encoding genes (Fig. S3B).

Fig 2.

Scatterplots present PC2 versus PC1 variance, depicting stage and substrate based clustering with PDA and barley. Bar graphs present number of up-regulated and down-regulated genes from stages 2 to 4 versus stage 1 for both substrates.

General analysis of the transcriptomes of conidial germination. The principal component analysis of the transcriptome data from germination stages of (A) F. graminearum and (B) M. anisopliae on barley and PDA. The number of up- and down-regulated differentially expressed genes (DEGs) of (C) F. graminearum and (D) M. anisopliae.

Fig 3.

Venn diagrams present overlapping differentially expressed genes from stage 2 to 4 versus stage 1 for Fusarium graminearum and Metarhizium anisopliae grown on barley and PDA, depicting largest overlap between all stages in PDA-grown samples.

Shared and unique up-regulated DEGs (LFC ≥2 and adjusted p-adj ≤0.01) in the germination stages of F. graminearum and M. anisopliae on barley and PDA. (A) F. graminearum on barley; (B) M. anisopliae on barley; (C) F. graminearum on PDA; and (D) M. anisopliae on PDA.

Gene ontology and metabolic pathway analysis of upregulated DEGs

Gene Ontology (GO) and metabolic pathway analyses of F. graminearum (Fig. S4; Tables S3 and S5) and M. anisopliae (Fig. S5; Tables S4 and S6) revealed that during germination on the host, more carbohydrate breakdown and utilization genes were upregulated compared to the expression of the same genes during germination on PDA, indicating a differential upregulation of CAZymes on the host in two fungal species. For all germination stages in F. graminearum in barley, the most significant enriched molecular function is “hydrolase activity.” Hydrolyzing the glycosyl bonds suggests that a high number of CAZymes are differentially upregulated during germination on the host. In M. anisopliae, “carbohydrate metabolic process,” “isomerase activity,” “glycolytic process,” and “pyruvate metabolic process” appeared among the highly significant GO terms enriched for all the germination stages in the host. However, in F. graminearum, more carbohydrate breakdown and utilization genes were upregulated during conidial germination on the host, than in M. anisopliae, particularly those targeting plant cell walls. The enrichment of GO terms for “secondary metabolite biosynthesis” during Stage 4 on the host supports a role for specialized metabolites during early stages of infection in F. graminearum (Fig. S4C).

Metabolic pathway analysis revealed that plant-specific polysaccharide degrading pathways were the most differentially upregulated genes involved in the F. graminearum-barley association that were common for all the germination stages. These include cellulose degradation II (fungi) (PWY-6788) with the highest significance and highest gene count, followed by (1, 4)-b-D-xylan degradation (PWY-6717), cellulose and hemicellulose degradation (PWY-6784), and pectin degradation II (PWY-7248). Genes related to appressorium development were also upregulated in F. graminearum at Stage 4 on the host. Notably, the “o-diquinones biosynthesis” pathway was specifically enriched at this stage, including five tyrosinase-encoding genes (Table S5). Tyrosinases are components of the melanin biosynthesis pathway, where they contribute to both appressorium development and pathogenesis (50). GO enrichment analysis on PDA for both species showed the enrichment of the GO term, “microtubule based movement,” suggesting the movement of organelles and microtubules was more active on the medium than they were during interactions with their natural host (Fig. S4D through F, S5D through F; Table S3 and S4). The top metabolic pathways that were enriched in M. anisopliae during germination stages on the host include sucrose biosynthesis (SUCSYN-PWY), trehalose degradation (PWY-2723), glucose and glucose-1-phosphate degradation (glucose1pMETAB-PWY), and superoxide radicals or reactive oxygen species degradation (DETOX1-PWY). Interestingly, metabolic pathway analysis in M. anisopliae revealed that genes associated with IAA biosynthesis were upregulated during germination Stages 3 and 4 on barley. IAA biosynthesis genes were enriched in the L-tryptophan degradation pathways (PWY-6307 and TRYPDEG) (Table S6). Common metabolic pathways between the two species for each germination stage were examined (Fig. S6A through C; Table S7). During Stage 4 on the host, genes for degrading plant defense compounds were upregulated in both F. graminearum and M. anisopliae, suggesting their adaptation for bypassing plant defenses during the appressoria formation (Table S7).

Differential expression of CAZyme genes

GO enrichment analysis suggests that carbohydrate metabolism is highly active during germination stages of both fungal species on barley with evidence that the F. graminearum genome harbors 170 more genes encoding CAZymes than does M. anisopliae (Fig. 4A and B) and expression of CAZymes differed substantially between F. graminearum and M. anisopliae (Fig. 4C through F). F. graminearum expressed a higher number of upregulated CAZymes during germination on barley (13.4% [Stage 2], 21.9% [Stage 3], 31.4% [Stage 4]) compared to PDA (4.6% [Stage 2], 4.8% [Stage 3], 5.7% [Stage 4]) (Fig. 4C and D; Table S8), suggesting its ability to penetrate the host tissue and cause necrosis soon after the initiation of infection. In M. anisopliae, fewer CAZymes were differentially expressed overall (Fig. 4E and F; Table S9). During germination stages on the host, M. anisopliae expressed 2.5%, 5.6%, and 7.4% of CAZymes at Stages 2, 3, and 4, respectively, and the expression levels were 4.3%, 4.1%, and 4.9% at the same respective stages on PDA. However, a 1.5-fold increase in the expression of glycoside hydrolases was observed during germination Stages 3 and 4 on the hosts compared to PDA. These results suggest a critical role for CAZymes in both pathogenic and endophytic species during early stages of colonization on the hosts. F. graminearum displayed the upregulation of both chitin synthase and cutinase genes (Table S8), which was not observed in M. anisopliae.

Fig 4.

Pie charts, bar graphs, and heatmap present CAZyme expression across stages and substrates for Fusarium graminearum and Metrhizium anisopliae, with glycosyl hydrolases most abundant and heatmap depicting expression variation between barley and PDA .

Differential expression of CAZyme genes in the germination stages of F. graminearum and M. anisopliae. CAZyme classes identified in the genome of (A) F. graminearum and (B) M. anisopliae. Number of differentially expressed genes encoding CAZymes during Stages 2, 3, and 4 in (C) F. graminearum on barley, (D) F. graminearum on PDA, (E) M. anisopliae on barley, (F) M. anisopliae on PDA. (G) Expression of polysaccharide lyase (PL) genes in F. graminearum. AA, auxiliary activities; CBM, carbohydrate binding module; PL, polysaccharide lyases; CE, carbohydrate esterases; GH, glycosyl hydrolases; GT, glycosyl transferases.

Among the PLs identified in F. graminearum, 80.3% were differentially upregulated during the appressorium stage on the host (Fig. 4G), suggesting the degradation of plant cell walls to initiate infection. The M. anisopliae genome harbors only two PL genes, and one PL gene (MAN_03654) was found differentially upregulated in Stage 4 on the host. F. graminearum genome contains numerous genes for pectin-degrading enzymes which are differentially upregulated during germination on the host, especially in the appressorium stage. In M. anisopliae, the pectin-degrading enzyme genes were not upregulated during host colonization (Table S9), suggesting a minimal role of pectin-degrading enzymes during the initial stages of host colonization.

Differential expression of specialized metabolite genes

We observed substantial differences in the expression of specialized metabolite genes between the two species during host colonization. During the appressorium stage in F. graminearum, the expression of specialized genes increased significantly, with a 3.4- to 6.8-fold upregulation compared to other germination stages (Table S10). The trichothecene biosynthetic gene cluster was upregulated during the appressorium stage on barley (Fig. S7; Table 2), likely producing trichothecenes in early host colonization events. In M. anisopliae, the 58.06% of specialized metabolite genes upregulated during the appressorium stage on the host were the same as upregulated on PDA (Table S11). Interestingly, the metabolic pathway analysis showed that genes associated with tryptophan metabolism were upregulated in Stages 3 and 4 on the host. Tryptophan is a precursor for the biosynthesis of phytohormone, IAA, that regulates various aspects of plant growth and development (5153). M. anisopliae synthesizes indole-3-acetic acid (IAA), through tryptophan-dependent pathways (54). Further analysis revealed that the candidate genes encoding enzymes associated with IAA biosynthesis, including anthranilate phosphoribosyltransferase, nitrilase, and flavin monooxygenase, were upregulated in M. anisopliae in Stage 4 on the host (Table S12), supporting a role of IAA metabolism in the interaction between M. anisopliae and the host.

TABLE 2.

The major specialized metabolite gene clusters upregulated in F. graminearum during germination stages on the host and PDAa

Barley PDA
Stage
2 vs 1
Stage
3 vs 1
Stage
4 vs 1
Stage
2 vs 1
Stage
3 vs 1
Stage
4 vs 1
Orcinol/orsellinic acid 2 3 4 4 4 4
Triacetylfusarinine 0 0 2 0 0 0
Trichothecene 1 2 11 1 2 1
Butenolide 0 1 1 0 0 0
Precursor of insoluble perithecial pigment 1 1 1 0 0 0
Malonichrome 0 0 3 0 0 0
Decalin-containing diterpenoid pyrones 0 0 7 0 0 0
a

The specialized metabolite genes with LFC ≥5 and p-adj ≤0.01 were selected for the analysis, and the table shows the number of genes upregulated in each biosynthetic gene cluster.

Differential expression of effector genes

Our analysis indicates that the genome of F. graminearum encodes more secreted putative effector genes in comparison to that of M. anisopliae (Fig. 5A). In both F. graminearum and M. anisopliae, the majority of these putative effectors are annotated as putative small-secreted cysteine-rich proteins or proteins with unknown function. Our results indicate that genes encoding secreted putative effectors are upregulated during the appressorium stages in both species, with F. graminearum expressing more effectors overall (Fig. 5B; Tables S13 and S14). Genes encoding putative effectors including AA1-like domain-containing proteins, LysM domain-containing proteins, and the cell wall mannoprotein 1 domain proteins were upregulated in both species during appressorium formation, emphasizing the pivotal role of secreted effector proteins in the early stages of plant colonization for both species. M. anisopliae upregulated putative effectors included a calcium channel inhibitor (Killer toxin Kp4) and a proteinase inhibitor I1 (Kazal domain), both upregulated during the appressorium stage indicating roles in modulating host immune responses during pathogen germination on the host. Besides the predicted effector genes, we also examined the expression of hydrophobin genes, adhesin genes, genes encoding proteins containing necrosis-inducing protein domains (IPR008701), and genes encoding proteins with Egh 16-like virulence factor domains (IPR021476), all of which have been reported in other plant-colonizing as pathogenicity-related genes. Our analysis suggests that the upregulation of hydrophobins during germination stages on the host indicates its role as a virulence factor during initial colonization of F. graminearum (Fig. 5C). Additionally, the genes encoding proteins with Egh16-like domains, associated with some virulence factors, were upregulated during the appressorium stage in F. graminearum, a key stage in the infection process. However, in M. anisopliae, these genes were upregulated during Stages 2 and 3 (Fig. 5D), when the fungal conidia were beginning to germinate, but their expression decreased as the fungus progressed to the appressorium stage.

Fig 5.

Bar graphs and heatmaps depict effector gene prediction and upregulation across stages and substrates with hydrophobins, adhesins, and Egh16-like virulence factors depicting substrate-specific expression in Fusarium graminearum and Metarhizium anisopliae.

Differential expression of effector genes in the germination stages of F. graminearum and M. anisopliae. (A) Comparison of putative effector genes identified in the genome of F. graminearum and M. anisopliae. (B) Number of upregulated effector genes during germination stages in F. graminearum and M. anisopliae on PDA and barley. Expression of pathogenicity-related genes in germination stages on PDA and barley in (C) F. graminearum and (D) M. anisopliae. Heatmap color range represents high to low expression levels where red represents higher expression and blue represents lower expression.

DISCUSSION

We compared genome-wide expression of conidial germination stages in pathogenic vs endophytic fungi on barley, using F. graminearum and M. anisopliae. During the appressorium stage, both fungi exhibited a significant transcriptomic shift compared to other germination stages, highlighting the unique transcriptional changes associated with appressorium development. While F. graminearum exhibited a more aggressive colonization strategy, with extensive CAZyme and specialized metabolite involvement, M. anisopliae adopted a more subtle approach by expressing phytohormone biosynthetic genes and fewer CAZyme genes, to establish a symbiotic relationship with its host. Both fungi showed the upregulation of the genes encoding the LysM effector, suggesting the importance of effectors in modulating host immune responses for successful host colonization.

Here, we documented the formation of appressoria by M. anisopliae during germination on its host (on barley roots). Previously, among species of Metarhizium, only M. robertsii had been reported to produce appressorium-like structures, with the presence of swelling at the germling tip on Arabidopsis roots 1 day post inoculation (55). We observed the formation of similar structures in M. anisopliae during germination on barley roots. Spore germination occurred earlier on the barley root surface in M. anisopliae compared to growth on PDA, with the appressoria forming 26 h after inoculation of the roots. Phytohormones, including strigolactones, IAA, and gibberellic acid, have been shown to influence the maintenance of Metarhizium-plant associations (56, 57) and have been found to induce conidial germination and hyphal growth in M. guizhouense when assayed on media amended with phytohormones (58). Similar results were also reported in mycorrhizal fungi, which exhibit extensive hyphal branching in the proximity of host roots, suggesting a role for plant metabolites in promoting fungal conidial germination and growth during beneficial fungal-plant interactions (59, 60), consistent with our results.

The F. graminearum genome harbors more CAZyme-encoding genes than the genome of M. anisopliae (Fig. 4A and B). The abundance of CAZymes in F. graminearum, together with the higher expression levels of these genes during interactions with the host, provides supporting evidence for the enhanced capacity of F. graminearum to penetrate the plant host and initiate disease. In contrast, M. anisopliae has limited the expression of genes for plant cell wall-degrading enzymes during initial colonization, reflecting a less aggressive approach for establishment in the host, as would be expected for an endophyte. In general, fungal colonization is initiated when conidia first adhere to and then breach the cuticle. Cutinases act as surface-sensing virulence factors and are crucial for establishing infection in above-ground plant parts (61). Cutinase has been reported as essential in disease development in phytopathogenic fungi including Botryosphaeria dothidea (62), F. sacchari (63), Magnaporthe oryzae (64), and Sclerotinia sclerotiorum (65), and cutinase genes are upregulated in F. graminearum during appressorium formation. We found a lower number of cutinase and polysaccharide lyase genes in the M. anisopliae genome than in the F. graminearum genome. Additionally, we documented a low germination rate for M. anisopliae when inoculated onto barley leaf sheaths (data not shown) when compared to the barley roots. The limited expression of CAZyme genes in M. anisopliae allows it to enter the host while minimizing damage, which is consistent with its ability to colonize root cortical cells and intracellular spaces with limited impact on plant health (29).

Our data show that multiple specialized metabolite gene clusters are upregulated during appressorium formation in F. graminearum compared to M. anisopliae. However, the metabolic pathway analysis of upregulated genes of M. anisopliae on the host showed that the tryptophan metabolic pathway was more highly expressed in the appressorium stage. Tryptophan metabolism is linked to the IAA synthesis, and we found that the candidate genes involved in the synthesis of IAA were upregulated in the appressorium stage. Metarhizium spp. have been reported to promote root hair growth promotion within 1–2 days of colonization of the host (29). Previous studies showed that IAA influences the growth and architecture of roots, which are important for nutrient and water uptake (66, 67). The ability of M. anisopliae to induce root growth in plants through IAA-dependent mechanisms (54) demonstrates the intricate and multifaceted relationship that exists between this endophyte and its plant host. This difference suggests how F. graminearum uses a wider range of specialized metabolites for aggressive plant colonization, while M. anisopliae employs a phytohormone-based strategy to interact with its plant host.

Our results indicate that genes encoding secreted putative effectors are upregulated during the appressorium stage for both species, emphasizing the pivotal role of secreted effector proteins in the early stages of plant colonization, regardless of the lifestyle of the fungus. Secreted effectors are generally described as cysteine-rich proteins with a signal peptide for secretion and have no transmembrane domain, used by plant-colonizing fungi to manipulate the host defense responses (68, 69). However, the number of putative effectors expressed was higher in the phytopathogen, F. graminearum, compared to M. anisopliae, an endophyte and mutualist. We found that putative effector genes, including LysM protein coding genes reported in other plant colonizing fungi (7072), were upregulated in both M. anisopliae and F. graminearum during colonization of the host. The LysM domain in the effectors suppresses the chitin-induced plant defense response and has been identified previously in other plant colonizing fungi as modulating host immunity (73). The role of LysM proteins in modulating defense responses in plant hosts has been described in Botryosphaeria dothidea (74), Trichoderma atroviride (75), and Verticillium dahliae (76). The deletion of the lysm2 gene reduced the ability of beneficial plant root colonizer Clonostachys rosea to colonize wheat roots (77). The two LysM proteins, ChELP1 and ChELP2, in the anthracnose fungus Colletrotrichum higginsianum, have been shown to be essential for fungal attachment, appressorium function, and suppression of chitin-triggered immunity of hosts (78). The differential upregulation of putative LysM type effectors in both M. anisopliae and F. graminearum during appressorium formation suggests that suppressing chitin-triggered immunity in plant hosts is an important step during plant colonization and is an evolutionarily conserved trait in both pathogenic and mutualistic/endophytic fungal species.

Our analysis suggests that virulence-associated genes are important for both F. graminearum and M. anisopliae to initiate interactions with plant hosts. For instance, Egh16-like protein-coding genes, previously reported in both phytopathogenic and entomopathogenic fungi as virulence factors, were upregulated in both F. graminearum and M. anisopliae during in planta growth. In the rice blast fungus, M. oryzae, Egh16-like genes have been shown to play a role in host penetration and lesion formation (79). Similarly, in Metarhizium acridum, a specialist insect pathogen, the deletion of Magas1, which encodes a protein containing an Egh16-like virulence factor domain, impaired fungal penetration during topical infection of locusts (80). The involvement of Egh16-like proteins in both plant and insect pathogenesis suggests that these genes may facilitate initial interactions between M. anisopliae and its diverse hosts, supporting the dual lifestyle of the fungus as a plant-associated endophyte and an insect pathogen. The specific role of Egh16-like proteins in M. anisopliae-plant association requires further investigation. Additionally, we observed increased expression of genes encoding necrosis-inducing proteins during the appressorium stage of F. graminearum, suggesting the initiation of the necrotrophic phase of F. graminearum even at this early stage of infection. The necrosis-inducing protein family has been reported in plant pathogenic bacteria, oomycetes, and pathogenic fungi, triggering cell death and suppressing defense responses on the host (81). For instance, the necrosis-inducing protein (Nep1) of F. oxysporum was implicated in triggering cell death and necrotic spots in Arabidopsis (82).

We found major differences in the expression profiles of plant cell wall-degrading enzymes and specialized metabolites between two fungi that play distinct roles during infection of their hosts. F. graminearum expresses multiple CAZyme genes and specialized metabolite gene clusters that have been linked to its pathogenic lifestyle, whereas M. anisopliae expresses genes associated with phytohormones. Each approach plays a key role in adaptation to a specific lifestyle. Future research should provide an understanding of the functional roles of the CAZymes, effectors, and specialized metabolites identified in this comparative analysis. Additionally, expanding this research to include proteomic and metabolomic approaches will provide a more comprehensive understanding of the underlying biochemical processes of spore germination and adaptive mechanisms employed by these fungi during host interactions. Elucidation of these processes will be critical to developing targeted strategies for managing fungal diseases and for optimizing applications of beneficial fungi.

ACKNOWLEDGMENTS

This work was work supported by the US Department of Agriculture National Institute of Food and Agriculture under Award No. 2020-67013-31185 and by the National Institutes of Health R01 grant AI146584 to F.T. We also acknowledge the support of Michigan State University AgBioResearch. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Contributor Information

Frances Trail, Email: trail@msu.edu.

Giuseppe Ianiri, Universita degli Studi del Molise, Campobasso, Italy.

DATA AVAILABILITY

The RNA-seq data generated in this work have been deposited in NCBI’s BioProject (https://www.ncbi.nlm.nih.gov/bioproject). The data are accessible through GEO series accession numbers GSE277787 (conidial germination in F. graminearum) and GSE277627 (conidial germination in M. anisopliae).

SUPPLEMENTAL MATERIAL

The following material is available online at https://doi.org/10.1128/spectrum.00226-25.

Supplemental material 1. spectrum.00226-25-s0001.xlsx.

Tables S1 and S2.

DOI: 10.1128/spectrum.00226-25.SuF1
Supplemental material 2. spectrum.00226-25-s0002.xlsx.

Tables S3 and S4.

DOI: 10.1128/spectrum.00226-25.SuF2
Supplemental material 3. spectrum.00226-25-s0003.xlsx.

Tables S5 to S7.

DOI: 10.1128/spectrum.00226-25.SuF3
Supplemental material 4. spectrum.00226-25-s0004.xlsx.

Tables S8 and S9.

DOI: 10.1128/spectrum.00226-25.SuF4
Supplemental material 5. spectrum.00226-25-s0005.xlsx.

Tables S10 and S11.

DOI: 10.1128/spectrum.00226-25.SuF5
Supplemental material 6. spectrum.00226-25-s0006.xlsx.

Tables S13 and S14.

DOI: 10.1128/spectrum.00226-25.SuF6
Supplemental figures. spectrum.00226-25-s0007.pdf.

Fig. S1 to S7.

DOI: 10.1128/spectrum.00226-25.SuF7
Table S12. spectrum.00226-25-s0008.docx.

Expression analysis of putative genes involved in IAA biosynthesis in M. anisopliae in Stage 4 on the host.

DOI: 10.1128/spectrum.00226-25.SuF8

ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

REFERENCES

  • 1. Osherov N, May GS. 2001. The molecular mechanisms of conidial germination. FEMS Microbiol Lett 199:153–160. doi: 10.1111/j.1574-6968.2001.tb10667.x [DOI] [PubMed] [Google Scholar]
  • 2. Wendland J. 2001. Comparison of morphogenetic networks of filamentous fungi and yeast. Fungal Genet Biol 34:63–82. doi: 10.1006/fgbi.2001.1290 [DOI] [PubMed] [Google Scholar]
  • 3. Seong K-Y, Zhao X, Xu J-R, Güldener U, Kistler HC. 2008. Conidial germination in the filamentous fungus Fusarium graminearum. Fungal Genet Biol 45:389–399. doi: 10.1016/j.fgb.2007.09.002 [DOI] [PubMed] [Google Scholar]
  • 4. van Leeuwen MR, Krijgsheld P, Bleichrodt R, Menke H, Stam H, Stark J, Wösten HAB, Dijksterhuis J. 2013. Germination of conidia of Aspergillus niger is accompanied by major changes in RNA profiles. Stud Mycol 74:59–70. doi: 10.3114/sim0009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Ryder LS, Talbot NJ, Paszkowski U, Scott B. 2015. Regulation of appressorium development in pathogenic fungi. Curr Opin Plant Biol 26:8–13. doi: 10.1016/j.pbi.2015.05.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Li X, Li B, Lian S, Dong X, Wang C, Liang W. 2019. Effects of temperature, moisture and nutrition on conidial germination, survival, colonization and sporulation of Trichothecium roseum. Eur J Plant Pathol 153:557–570. doi: 10.1007/s10658-018-1583-8 [DOI] [Google Scholar]
  • 7. Ijadpanahsaravi M, Punt M, Wösten HAB, Teertstra WR. 2021. Minimal nutrient requirements for induction of germination of Aspergillus niger conidia. Fungal Biol 125:231–238. doi: 10.1016/j.funbio.2020.11.004 [DOI] [PubMed] [Google Scholar]
  • 8. Ji T, Altieri V, Salotti I, Rossi V. 2023. Effects of temperature and moisture duration on spore germination of four fungi that cause grapevine trunk diseases. Plant Dis 107:1005–1008. doi: 10.1094/PDIS-08-22-1802-SC [DOI] [PubMed] [Google Scholar]
  • 9. Mendgen K, Hahn M, Deising H. 1996. Morphogenesis and mechanisms of penetration by plant pathogenic fungi. Annu Rev Phytopathol 34:367–386. doi: 10.1146/annurev.phyto.34.1.367 [DOI] [PubMed] [Google Scholar]
  • 10. Pedrini N, Ortiz-Urquiza A, Huarte-Bonnet C, Zhang S, Keyhani NO. 2013. Targeting of insect epicuticular lipids by the entomopathogenic fungus Beauveria bassiana: hydrocarbon oxidation within the context of a host-pathogen interaction. Front Microbiol 4:24. doi: 10.3389/fmicb.2013.00024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Chethana KWT, Jayawardena RS, Chen YJ, Konta S, Tibpromma S, Abeywickrama PD, Gomdola D, Balasuriya A, Xu J, Lumyong S, Hyde KD. 2021. Diversity and function of appressoria. Pathogens 10:3–6. doi: 10.3390/pathogens10060746 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Sikhakolli UR, López-Giráldez F, Li N, Common R, Townsend JP, Trail F. 2012. Transcriptome analyses during fruiting body formation in Fusarium graminearum and Fusarium verticillioides reflect species life history and ecology. Fungal Genet Biol 49:663–673. doi: 10.1016/j.fgb.2012.05.009 [DOI] [PubMed] [Google Scholar]
  • 13. Roux J, Rosikiewicz M, Robinson-Rechavi M. 2015. What to compare and how: comparative transcriptomics for Evo-Devo. J Exp Zool B Mol Dev Evol 324:372–382. doi: 10.1002/jez.b.22618 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Trail F, Wang Z, Stefanko K, Cubba C, Townsend JP. 2017. The ancestral levels of transcription and the evolution of sexual phenotypes in filamentous fungi. PLoS Genet 13:e1006867. doi: 10.1371/journal.pgen.1006867 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Chan ME, Bhamidipati PS, Goldsby HJ, Hintze A, Hofmann HA, Young RL. 2021. Comparative transcriptomics reveals distinct patterns of gene expression conservation through vertebrate embryogenesis. Genome Biol Evol 13:evab160. doi: 10.1093/gbe/evab160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Miguel-Rojas C, Cavinder B, Townsend JP, Trail F. 2023. Comparative transcriptomics of Fusarium graminearum and Magnaporthe oryzae spore germination leading up to infection. MBio 14:e0244222. doi: 10.1128/mbio.02442-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Zeilinger S, Gupta VK, Dahms TES, Silva RN, Singh HB, Upadhyay RS, Gomes EV, Tsui CK-M, Nayak S C. 2016. Friends or foes? Emerging insights from fungal interactions with plants. FEMS Microbiol Rev 40:182–207. doi: 10.1093/femsre/fuv045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Pontes J de M, Fernandes LS, dos Santos RV, Tasic L, Fill TP. 2020. Virulence factors in the phytopathogen-host interactions: an overview. J Agric Food Chem 68:7555–7570. doi: 10.1021/acs.jafc.0c02389 [DOI] [PubMed] [Google Scholar]
  • 19. König A, Müller R, Mogavero S, Hube B. 2021. Fungal factors involved in host immune evasion, modulation and exploitation during infection. Cell Microbiol 23:e13272. doi: 10.1111/cmi.13272 [DOI] [PubMed] [Google Scholar]
  • 20. Pradhan A, Ghosh S, Sahoo D, Jha G. 2021. Fungal effectors, the double edge sword of phytopathogens. Curr Genet 67:27–40. doi: 10.1007/s00294-020-01118-3 [DOI] [PubMed] [Google Scholar]
  • 21. Westrick NM, Smith DL, Kabbage M. 2021. Disarming the host: detoxification of plant defense compounds during fungal necrotrophy. Front Plant Sci 12:651716. doi: 10.3389/fpls.2021.651716 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Gutiérrez-Sánchez A, Plasencia J, Monribot-Villanueva JL, Rodríguez-Haas B, Ruíz-May E, Guerrero-Analco JA, Sánchez-Rangel D. 2023. Virulence factors of the genus Fusarium with targets in plants. Microbiol Res 277:127506. doi: 10.1016/j.micres.2023.127506 [DOI] [PubMed] [Google Scholar]
  • 23. Plett JM, Martin F. 2015. Reconsidering mutualistic plant-fungal interactions through the lens of effector biology. Curr Opin Plant Biol 26:45–50. doi: 10.1016/j.pbi.2015.06.001 [DOI] [PubMed] [Google Scholar]
  • 24. Patel P, Kumar S, Modi A, Kumar A. 2021. Deciphering fungal endophytes combating abiotic stresses in crop plants (cereals and vegetables), p 131–147. In Microbial management of plant stresses: current trends, application and challenges. doi: 10.1016/B978-0-323-85193-0.00009-7. [DOI] [Google Scholar]
  • 25. Goswami RS, Kistler HC. 2004. Heading for disaster: Fusarium graminearum on cereal crops. Mol Plant Pathol 5:515–525. doi: 10.1111/j.1364-3703.2004.00252.x [DOI] [PubMed] [Google Scholar]
  • 26. Osborne LE, Stein JM. 2007. Epidemiology of Fusarium head blight on small-grain cereals. Int J Food Microbiol 119:103–108. doi: 10.1016/j.ijfoodmicro.2007.07.032 [DOI] [PubMed] [Google Scholar]
  • 27. Trail F. 2009. For blighted waves of grain: Fusarium graminearum in the postgenomics era. Plant Physiol 149:103–110. doi: 10.1104/pp.108.129684 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Hu G, St Leger RJ. 2002. Field studies using a recombinant mycoinsecticide (Metarhizium anisopliae) reveal that it is rhizosphere competent. Appl Environ Microbiol 68:6383–6387. doi: 10.1128/AEM.68.12.6383-6387.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Sasan RK, Bidochka MJ. 2012. The insect-pathogenic fungus Metarhizium robertsii (Clavicipitaceae) is also an endophyte that stimulates plant root development. Am J Bot 99:101–107. doi: 10.3732/ajb.1100136 [DOI] [PubMed] [Google Scholar]
  • 30. Behie SW, Bidochka MJ. 2014. Ubiquity of insect-derived nitrogen transfer to plants by endophytic insect-pathogenic fungi: an additional branch of the soil nitrogen cycle. Appl Environ Microbiol 80:1553–1560. doi: 10.1128/AEM.03338-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Zimmermann G. 1993. The entomopathogenic fungus Metarhizium anisopliae and its potential as a biocontrol agent. Pestic Sci 37:375–379. doi: 10.1002/ps.2780370410 [DOI] [Google Scholar]
  • 32. Roberts DW, St Leger RJ. 2004. Metarhizium spp., cosmopolitan insect-pathogenic fungi: mycological aspects. Adv Appl Microbiol 54:1–70. doi: 10.1016/S0065-2164(04)54001-7 [DOI] [PubMed] [Google Scholar]
  • 33. Behie SW, Moreira CC, Sementchoukova I, Barelli L, Zelisko PM, Bidochka MJ. 2017. Carbon translocation from a plant to an insect-pathogenic endophytic fungus. Nat Commun 8:14245. doi: 10.1038/ncomms14245 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120. doi: 10.1093/bioinformatics/btu170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. King R, Urban M, Hammond-Kosack MCU, Hassani-Pak K, Hammond-Kosack KE. 2015. The completed genome sequence of the pathogenic ascomycete fungus Fusarium graminearum. BMC Genomics 16:544. doi: 10.1186/s12864-015-1756-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Hu X, Xiao G, Zheng P, Shang Y, Su Y, Zhang X, Liu X, Zhan S, St Leger RJ, Wang C. 2014. Trajectory and genomic determinants of fungal-pathogen speciation and host adaptation. Proc Natl Acad Sci USA 111:16796–16801. doi: 10.1073/pnas.1412662111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Kim D, Langmead B, Salzberg SL. 2015. HISAT: a fast spliced aligner with low memory requirements. Nat Methods 12:357–360. doi: 10.1038/nmeth.3317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup . 2009. The sequence alignment/map format and SAMtools. Bioinformatics 25:2078–2079. doi: 10.1093/bioinformatics/btp352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Anders S, Pyl PT, Huber W. 2015. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics 31:166–169. doi: 10.1093/bioinformatics/btu638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Zhang H, Yohe T, Huang L, Entwistle S, Wu P, Yang Z, Busk PK, Xu Y, Yin Y. 2018. dbCAN2: a meta server for automated carbohydrate-active enzyme annotation. Nucleic Acids Res 46:W95–W101. doi: 10.1093/nar/gky418 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Blin K, Shaw S, Kloosterman AM, Charlop-Powers Z, van Wezel GP, Medema MH, Weber T. 2021. antiSMASH 6.0: improving cluster detection and comparison capabilities. Nucleic Acids Res 49:W29–W35. doi: 10.1093/nar/gkab335 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Gaffoor I, Brown DW, Plattner R, Proctor RH, Qi W, Trail F. 2005. Functional analysis of the polyketide synthase genes in the filamentous fungus Gibberella zeae (anamorph Fusarium graminearum). Eukaryot Cell 4:1926–1933. doi: 10.1128/EC.4.11.1926-1933.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Sieber CMK, Lee W, Wong P, Münsterkötter M, Mewes H-W, Schmeitzl C, Varga E, Berthiller F, Adam G, Güldener U. 2014. The Fusarium graminearum genome reveals more secondary metabolite gene clusters and hints of horizontal gene transfer. PLoS One 9:e110311. doi: 10.1371/journal.pone.0110311 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Mentges M, Glasenapp A, Boenisch M, Malz S, Henrissat B, Frandsen RJN, Güldener U, Münsterkötter M, Bormann J, Lebrun MH, Schäfer W, Martinez-Rocha AL. 2020. Infection cushions of Fusarium graminearum are fungal arsenals for wheat infection. Mol Plant Pathol 21:1070–1087. doi: 10.1111/mpp.12960 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Hicks C, Witte TE, Sproule A, Hermans A, Shields SW, Colquhoun R, Blackman C, Boddy CN, Subramaniam R, Overy DP. 2023. CRISPR-Cas9 gene editing and secondary metabolite screening confirm Fusarium graminearum C16 biosynthetic gene cluster products as decalin-containing diterpenoid pyrones. J Fungi (Basel) 9:695. doi: 10.3390/jof9070695 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Sperschneider J, Dodds PN, Gardiner DM, Singh KB, Taylor JM. 2018. Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0. Mol Plant Pathol 19:2094–2110. doi: 10.1111/mpp.12682 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Harris MA, Clark J, Ireland A, Lomax J, Ashburner M, Foulger R, Eilbeck K, Lewis S, Marshall B, Mungall C, et al. 2004. The Gene Ontology (GO) database and informatics resource. Nucleic Acids Res 32:D258–D261. doi: 10.1093/nar/gkh036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Caspi R, Billington R, Ferrer L, Foerster H, Fulcher CA, Keseler IM, Kothari A, Krummenacker M, Latendresse M, Mueller LA, Ong Q, Paley S, Subhraveti P, Weaver DS, Karp PD. 2016. The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res 44:D471–D480. doi: 10.1093/nar/gkv1164 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Stajich JE, Harris T, Brunk BP, Brestelli J, Fischer S, Harb OS, Kissinger JC, Li W, Nayak V, Pinney DF, Stoeckert CJ, Roos DS. 2012. FungiDB: an integrated functional genomics database for fungi. Nucleic Acids Res 40:D675–D681. doi: 10.1093/nar/gkr918 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Fan X, Zhang P, Batool W, Liu C, Hu Y, Wei Y, He Z, Zhang SH. 2023. Contribution of the tyrosinase (MoTyr) to melanin synthesis, conidiogenesis, appressorium development, and pathogenicity in Magnaporthe oryzae. J Fungi (Basel) 9:311. doi: 10.3390/jof9030311 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Zhao Y. 2012. Auxin biosynthesis: a simple two-step pathway converts tryptophan to indole-3-acetic acid in plants. Mol Plant 5:334–338. doi: 10.1093/mp/ssr104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Wang B, Chu J, Yu T, Xu Q, Sun X, Yuan J, Xiong G, Wang G, Wang Y, Li J. 2015. Tryptophan-independent auxin biosynthesis contributes to early embryogenesis in Arabidopsis. Proc Natl Acad Sci USA 112:4821–4826. doi: 10.1073/pnas.1503998112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Solanki M, Shukla LI. 2023. Recent advances in auxin biosynthesis and homeostasis. 3 Biotech 13:1–22. doi: 10.1007/s13205-023-03709-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Liao X, Lovett B, Fang W, St Leger RJ. 2017. Metarhizium robertsii produces indole-3-acetic acid, which promotes root growth in Arabidopsis and enhances virulence to insects. Microbiology (Reading) 163:980–991. doi: 10.1099/mic.0.000494 [DOI] [PubMed] [Google Scholar]
  • 55. Dai J, Tang X, Wu C, Liu S, Mi W, Fang W. 2024. Utilization of plant-derived sugars and lipids are coupled during colonization of rhizoplane and rhizosphere by the fungus Metarhizium robertsii. Fungal Genet Biol 172:103886. doi: 10.1016/j.fgb.2024.103886 [DOI] [PubMed] [Google Scholar]
  • 56. Hu S, Bidochka MJ. 2021. Abscisic acid implicated in differential plant responses of Phaseolus vulgaris during endophytic colonization by Metarhizium and pathogenic colonization by Fusarium. Sci Rep 11:111 doi: 10.1038/s41598-021-90232-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Ahmad I, Jiménez-Gasco MDM, Luthe DS, Barbercheck ME. 2022. Endophytic Metarhizium robertsii suppresses the phytopathogen, Cochliobolus heterostrophus and modulates maize defenses. PLoS One 17:e0272944. doi: 10.1371/journal.pone.0272944 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Piña-Torres IH, Dávila-Berumen F, González-Hernández GA, Torres-Guzmán JC, Padilla-Guerrero IE. 2023. Hyphal growth and conidia germination are induced by phytohormones in the root colonizing and plant growth promoting fungus Metarhizium guizhouense. J Fungi (Basel) 9:945. doi: 10.3390/jof9090945 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Barker SJ, Tagu D. 2000. The roles of auxins and cytokinins in mycorrhizal symbioses. J Plant Growth Regul 19:144–154. doi: 10.1007/s003440000021 [DOI] [PubMed] [Google Scholar]
  • 60. Akiyama K, Ogasawara S, Ito S, Hayashi H. 2010. Structural requirements of strigolactones for hyphal branching in AM fungi. Plant Cell Physiol 51:1104–1117. doi: 10.1093/pcp/pcq058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Arya GC, Cohen H. 2022. The multifaceted roles of fungal cutinases during infection. J Fungi (Basel) 8:199. doi: 10.3390/jof8020199 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Dong BZ, Zhu XQ, Fan J, Guo LY. 2021. The cutinase Bdo_10846 play an important role in the virulence of Botryosphaeria dothidea and in inducing the wart symptom on apple plant. Int J Mol Sci 22:1910. doi: 10.3390/ijms22041910 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Liang H, Li F, Huang Y, Yu Q, Huang Z, Zeng Q, Chen B, Meng J. 2024. FsCGBP, a cutinase G-Box binding protein, regulates the growth, development, and virulence of Fusarium sacchari, the pathogen of sugarcane Pokkah boeng disease. J Fungi (Basel) 10:246. doi: 10.3390/jof10040246 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Skamnioti P, Gurr SJ. 2007. Magnaporthe grisea cutinase2 mediates appressorium differentiation and host penetration and is required for full virulence. Plant Cell 19:2674–2689. doi: 10.1105/tpc.107.051219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Gong Y, Fu Y, Xie J, Li B, Chen T, Lin Y, Chen W, Jiang D, Cheng J. 2022. Sclerotinia sclerotiorum SsCut1 modulates virulence and cutinase activity. J Fungi (Basel) 8:526. doi: 10.3390/jof8050526 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Chen Q, Dai X, De-Paoli H, Cheng Y, Takebayashi Y, Kasahara H, Kamiya Y, Zhao Y. 2014. Auxin overproduction in shoots cannot rescue auxin deficiencies in Arabidopsis roots. Plant Cell Physiol 55:1072–1079. doi: 10.1093/pcp/pcu039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Liu R, Yang L, Zou Y, Wu Q. 2023. Root-associated endophytic fungi modulate endogenous auxin and cytokinin levels to improve plant biomass and root morphology of trifoliate orange. Hortic Plant J 9:463–472. doi: 10.1016/j.hpj.2022.08.009 [DOI] [Google Scholar]
  • 68. Jaswal R, Kiran K, Rajarammohan S, Dubey H, Singh PK, Sharma Y, Deshmukh R, Sonah H, Gupta N, Sharma TR. 2020. Effector biology of biotrophic plant fungal pathogens: current advances and future prospects. Microbiol Res 241:126567. doi: 10.1016/j.micres.2020.126567 [DOI] [PubMed] [Google Scholar]
  • 69. Shao D, Smith DL, Kabbage M, Roth MG. 2021. Effectors of plant necrotrophic fungi. Front Plant Sci 12:687713. doi: 10.3389/fpls.2021.687713 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Kombrink A, Thomma BPHJ. 2013. LysM effectors: secreted proteins supporting fungal life. PLoS Pathog 9:e1003769. doi: 10.1371/journal.ppat.1003769 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Lee WS, Rudd JJ, Hammond-Kosack KE, Kanyuka K. 2014. Mycosphaerella graminicola LysM effector-mediated stealth pathogenesis subverts recognition through both CERK1 and CEBiP homologues in wheat. Mol Plant Microbe Interact 27:236–243. doi: 10.1094/MPMI-07-13-0201-R [DOI] [PubMed] [Google Scholar]
  • 72. Hu SP, Li JJ, Dhar N, Li JP, Chen JY, Jian W, Dai XF, Yang XY. 2021. Lysin motif (LysM) proteins: interlinking manipulation of plant immunity and fungi. Int J Mol Sci 22:3114. doi: 10.3390/ijms22063114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Dölfors F, Holmquist L, Dixelius C, Tzelepis G. 2019. A LysM effector protein from the basidiomycete Rhizoctonia solani contributes to virulence through suppression of chitin-triggered immunity. Mol Genet Genomics 294:1211–1218. doi: 10.1007/s00438-019-01573-9 [DOI] [PubMed] [Google Scholar]
  • 74. Zhang H, Wen SH, Li PH, Lu LY, Yang X, Zhang CJ, Guo LY, Wang D, Zhu XQ. 2023. LysM protein BdLM1 of Botryosphaeria dothidea plays an important role in full virulence and inhibits plant immunity by binding chitin and protecting hyphae from hydrolysis. Front Plant Sci 14:1320980. doi: 10.3389/fpls.2023.1320980 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Romero-Contreras YJ, Ramírez-Valdespino CA, Guzmán-Guzmán P, Macías-Segoviano JI, Villagómez-Castro JC, Olmedo-Monfil V. 2019. Tal6 from Trichoderma atroviride is a LysM effector involved in mycoparasitism and plant association. Front Microbiol 10:2231. doi: 10.3389/fmicb.2019.02231 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Kombrink A, Rovenich H, Shi-Kunne X, Rojas-Padilla E, van den Berg GCM, Domazakis E, de Jonge R, Valkenburg D-J, Sánchez-Vallet A, Seidl MF, Thomma BPHJ. 2017. Verticillium dahliae LysM effectors differentially contribute to virulence on plant hosts. Mol Plant Pathol 18:596–608. doi: 10.1111/mpp.12520 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Dubey M, Vélëz H, Broberg M, Jensen DF, Karlsson M. 2020. LysM proteins regulate fungal development and contribute to hyphal protection and biocontrol traits in Clonostachys rosea. Front Microbiol 11:679. doi: 10.3389/fmicb.2020.00679 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Takahara H, Hacquard S, Kombrink A, Hughes HB, Halder V, Robin GP, Hiruma K, Neumann U, Shinya T, Kombrink E, Shibuya N, Thomma BPHJ, O’Connell RJ. 2016. Colletotrichum higginsianum extracellular LysM proteins play dual roles in appressorial function and suppression of chitin-triggered plant immunity. New Phytol 211:1323–1337. doi: 10.1111/nph.13994 [DOI] [PubMed] [Google Scholar]
  • 79. Xu J-R, Xue C. 2002. Time for a blast: genomics of Magnaporthe grisea. Mol Plant Pathol 3:173–176. doi: 10.1046/j.1364-3703.2002.00108.x [DOI] [PubMed] [Google Scholar]
  • 80. Cao Y, Zhu X, Jiao R, Xia Y. 2012. The Magas1 gene is involved in pathogenesis by affecting penetration in Metarhizium acridum. J Microbiol Biotechnol 22:889–893. doi: 10.4014/jmb.1111.11055 [DOI] [PubMed] [Google Scholar]
  • 81. Pemberton CL, Salmond GPC. 2004. The Nep1-like proteins-a growing family of microbial elicitors of plant necrosis. Mol Plant Pathol 5:353–359. doi: 10.1111/j.1364-3703.2004.00235.x [DOI] [PubMed] [Google Scholar]
  • 82. Bae H, Kim MS, Sicher RC, Bae HJ, Bailey BA. 2006. Necrosis- and ethylene-inducing peptide from Fusarium oxysporum induces a complex cascade of transcripts associated with signal transduction and cell death in Arabidopsis. Plant Physiol 141:1056–1067. doi: 10.1104/pp.106.076869 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplemental material 1. spectrum.00226-25-s0001.xlsx.

Tables S1 and S2.

DOI: 10.1128/spectrum.00226-25.SuF1
Supplemental material 2. spectrum.00226-25-s0002.xlsx.

Tables S3 and S4.

DOI: 10.1128/spectrum.00226-25.SuF2
Supplemental material 3. spectrum.00226-25-s0003.xlsx.

Tables S5 to S7.

DOI: 10.1128/spectrum.00226-25.SuF3
Supplemental material 4. spectrum.00226-25-s0004.xlsx.

Tables S8 and S9.

DOI: 10.1128/spectrum.00226-25.SuF4
Supplemental material 5. spectrum.00226-25-s0005.xlsx.

Tables S10 and S11.

DOI: 10.1128/spectrum.00226-25.SuF5
Supplemental material 6. spectrum.00226-25-s0006.xlsx.

Tables S13 and S14.

DOI: 10.1128/spectrum.00226-25.SuF6
Supplemental figures. spectrum.00226-25-s0007.pdf.

Fig. S1 to S7.

DOI: 10.1128/spectrum.00226-25.SuF7
Table S12. spectrum.00226-25-s0008.docx.

Expression analysis of putative genes involved in IAA biosynthesis in M. anisopliae in Stage 4 on the host.

DOI: 10.1128/spectrum.00226-25.SuF8

Data Availability Statement

The RNA-seq data generated in this work have been deposited in NCBI’s BioProject (https://www.ncbi.nlm.nih.gov/bioproject). The data are accessible through GEO series accession numbers GSE277787 (conidial germination in F. graminearum) and GSE277627 (conidial germination in M. anisopliae).


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