ORIGINAL RESEARCH article

Front. Microbiol., 20 December 2024

Sec. Microbe and Virus Interactions with Plants

Volume 15 - 2024 | https://doi.org/10.3389/fmicb.2024.1493272

Exploring Trichoderma diversity in the Western Ghats of India: phylogenetic analysis, metabolomics insights and biocontrol efficacy against Maydis Leaf Blight disease

  • 1. Plant Pathology Lab, ICAR-National Bureau of Agriculturally Important Microorganisms, Maunath Bhanjan, India

  • 2. Molecular Biology Lab, ICAR-National Bureau of Agriculturally Important Microorganisms, Maunath Bhanjan, India

Abstract

The Western Ghats of India is recognized as one of the world’s eight “hottest hotspots” of biological diversity. Trichoderma—a well-known biocontrol agent, was explored from this hotspot. A total of 260 Trichoderma spp. isolates were studied, with 9% exhibiting strong biocontrol potential and crop growth-promoting activity. Furthermore, this study identified three novel isolates—Trichoderma caribbaeum var. caribbaeum, Trichoderma lixii, and Trichoderma brevicompactum—which are reported for the first time from the Western Ghats making a significant contribution to the field. Based on internal transcribed spacer ribosomal RNA (ITS-rRNA) and translation elongation factor 1-α (tef-1α) gene sequence analysis, molecular characterization, identified major isolates as Trichoderma koningiopsis, Trichoderma asperellum, T. caribbaeum var. caribbaeum, T. lixii, T. brevicompactum, Trichoderma atroviride, and Trichoderma erinaceum. Seed biopriming with the effective Trichoderma strain TR11 reduced the maydis leaf blight (MLB) disease index to 32.92% and improved plant growth-promoting attributes in maize. Defensive enzyme activities were increased 2.5–4.2-fold in various treatments with the TR11 isolate, along with enhanced lignification postpathogen inoculation, indicating strengthened plant defense mechanisms. The promising strain T. brevicompactum-TR11 produces secondary metabolites; among them, 5% were found to have a role in biocontrol activity such as octadecanoic acid, palmitic acid-TMS, 5-(4-nitrophenoxymethyl), furane-2-carboxaldehyde, and stearic acid-TMS, phosphoric acid-3TMS, galactopyranose, 5TMS. This study explored Trichoderma diversity in the Western Ghats of India with phylogenetic relationship, metabolomics insights, and biocontrol efficacy against MLB disease.

Introduction

The Western Ghats of India—a UNESCO World Heritage site, is one of the world’s eight major biodiversity hotspots. It stretches from the southern tip of Gujarat through the Satpura range in the north, passing through Maharashtra, Goa, Karnataka, and Kerala, and ends at the southernmost part of India (Mehta and Shah, 2021). This region hosts a diverse range of organisms, including many novel and undiscovered microorganisms with significant potential for different applications (Nampoothiri et al., 2013). Trichoderma, common ascomycetes fungi found in soils globally, are widely studied for managing soil- and foliar-borne diseases. They are prevalent in various environments such as agricultural areas, grasslands, forests, and deserts (Jaklitsch, 2011). Multiple species of Trichoderma act as biocontrol agents against fungal pathogens (Li et al., 2013). A major threat is maydis leaf blight (MLB) or southern corn leaf blight (SCLB), caused by the fungus Bipolaris maydis, poses a significant threat to maize production globally (Manzar et al., 2022b). MLB can cause grain yield reductions of over 40%, with historical epidemics in the 1970s leading to losses of 28–91% (Zhu et al., 2021; Gogoi et al., 2014). Chemical control methods, though widely practiced, have several drawbacks, including environmental contamination, pathogen resistance, and adverse effects on non-target organisms. Hence, the use of biocontrol agents such as Trichoderma offers a sustainable and environmentally friendly alternative (Aggarwal et al., 2024). However, the efficacy of Trichoderma as a biocontrol agent can vary significantly among species and strains. Therefore, exploring the diversity of Trichoderma in different ecosystems and understanding their phylogenetic relationships is critical for identifying strains with superior biocontrol potential. Due to the lack of distinct morphological features and the rise of cryptic species, identifying Trichoderma based solely on morphology is challenging (Hoyos-Carvajal et al., 2009; Sun et al., 2012; Rodriguez et al., 2021; Manzar et al.,2022a). Molecular techniques now enable accurate identification of Trichoderma isolates and potential new species through gene sequence analysis (Druzhinina et al., 2005; Kubicek et al., 2008). The diverse genus Hypocrea Trichoderma includes around 160 species—the majority of them were identified via molecular phylogeny from pure cultures and herbaria specimens (Druzhinina et al., 2005). Surveys of Trichoderma spp. have been conducted in regions such as Siberia, the Himalayas (Kullnig et al., 2000), China (Zhang et al., 2005), Central and South America, and Egypt (Gherbawy et al., 2004). These studies identified unique species in each area and discovered new ones, possibly indicating species’ preference for specific regions or climates (Bissett et al., 2003; Kraus et al., 2004). The ability of Trichoderma spp. to induce resistance in maize plants against foliar pathogens has been proven (Harman, 2011; Jie et al., 2014). In response to pathogen attacks, plants exhibit various biochemical reactions, among which the antioxidative response holds significance due to the generation of numerous reactive oxygen species (ROS). This antioxidative defense mechanism involves the activation of enzymes such as peroxidase (POX), superoxide dismutase (SOD), and polyphenol oxidase (PPO). Plant pathogens trigger the induction of these enzymes through oxidative damage (Chugh et al., 2011). POX, a pivotal enzyme, participates in the biosynthesis of lignin and phytoalexins (Fan et al., 2006), and SOD operates to neutralize oxygen free radicals and active oxygen, thereby shielding plant membranes and essential enzymes within the salicylic acid pathway (Guo et al., 2006). Trichoderma spp. create a broad range of secondary metabolites that belong to many chemical groups, including alcohols, aldehydes, monoterpenes, sesquiterpenes, aromatic compounds, esters, furans, hydrocarbons, ketones, and compounds comprising S and N elements (Nieto-Jacobo et al., 2017; Esparza-Reynoso et al., 2021). These metabolites might involve in several biological activities, including microorganism-to-microorganism communication and biocontrol (Crutcher et al., 2013). The Trichoderma species are considered as plant growth-promoting fungi (PGPF), capable of colonizing and multiplying in the rhizosphere and strengthening plant defense systems. They can promote plant development in several indirect ways; however, little is known about metabolites-based interactions now. Trichoderma metabolites have been demonstrated to promote plant growth by acting as antibiotics against fungal pathogens (Vinale et al., 2014). This study aimed to ascertain the species diversity of Trichoderma gathered from the hot spot regions of Western Ghats of India and to find out the most potent Trichoderma isolates for managing MLB disease. This study focuses on characterizing Trichoderma isolates collected from the rhizosphere soil of various crops or plants in the Western Ghats region of India. The isolates were molecularly characterized and evaluated for their efficacy in reducing MLB severity caused by the pathogen B. maydis. Histochemical studies were conducted to assess disease reduction and to visualize lignin and callose deposition as the first line of defense, and also investigated the impact of these isolates on biochemical responses in maize plants, specifically the activity of defense enzymes (POX, SOD, and CAT), and analyzed secondary metabolites produced by the most effective Trichoderma isolates.

Materials and methods

The study sampled various regions within the Western Ghats, including part of Shimoga, Coorg, Kodagu’s Somvarpet Taluk, Dakshina Kannada, Channarayapatna, Sakleshpur, Madikeri, Piriyapatna, Karwar, Begar, Sulya, and Udupi during an exploration survey conducted in December 2021. A total of 36 soil samples were collected, and the Trichoderma isolates were obtained and characterized in this study were obtained.

Isolation and storage of pure cultures

Using the serial dilution plating approach, the Trichoderma selective medium described by Manzar and Singh (2020) was employed to isolate Trichoderma species. MgSO4·7H2O (0.2 g), K2HPO4 (0.9 g), KCl (015 g), NH4NO3 (1.0 g), glucose (3.0 g), Rose Bengal (0.15 g), and agar (20 g) make up 1 L of Trichoderma selective medium. Putative Trichoderma colonies were purified using potato dextrose agar (PDA) for two rounds of subculturing. Mineral oil was used to keep pure cultures at 4°C.

Morphological analysis

Strains were cultivated on PDA for 7–8 days at 27°C to perform morphological examination using microscopic observations. After 3 days of incubation, pustules with white conidia were used to make microscopic slides for morphological features. To prepare the slides, a drop of 3% KOH was applied to each slide. KOH wets the conidia in the slide to provide better observation and aids in the conidiophores’ dissemination. According to Gams and Bissett, Trichoderma species were identified by Samuels (2006). Supplementary Table S1 lists microscopic observation and cultural morphology.

DNA extraction and amplification

To extract DNA, Trichoderma isolates were grown on a PDA medium at 28°C for 4 days. After incubation, 3–4 mycelial plugs were transferred into a 250-ml conical flask containing 100 mL of potato dextrose (PD) broth, followed by shaking at 150 rpm at 28°C. The mycelial matrix was filtered using Whatman filter paper 42 following 6 days of development. It was cleaned using sterile distilled water and centrifuged at 10,000 rpm for 20 min at 4°C. Liquid nitrogen was then used in a pestle and mortar to pulverize it. The Nucleopore GDNA Fungus Kit-NP-7006D (Genetix Biotech Asia Pvt. Ltd., New Delhi, India) was utilized to extract genomic DNA (Manzar et al., 2021). Using a spectrophotometer (Shimadzu, Tokyo, Japan), the concentration and purity of the DNA were ascertained by measuring the absorbance at 260 and 280 nm. Using the primers ITS1 (TCCGTAGGTGAACCTGCGG) and ITS4 (TCCTCCGCTTATTGATATGC), the nuclear small-subunit rRNA gene’s ITS region was amplified in an automated thermocycler (Bio-rad-C1000 Thermal Cycler) by White et al.’s 1990 report. A 25-μl volume was used for the PCR, which contained 1X Taq Buffer with KCl (2.5 μL), 200 μM deoxynucleotide triphosphate (dNTP, 0.5 μL), 1.5-mM MgCl2 (1.5 μL), 1 U/reaction Taq polymerase (0.2 μL), 1X nuclease-free water (17.3 μL, Genetix brand), ITS 1 (10 pm) primer (1 μL), ITS4 (10 pm) primer (1 μL), and 100 ng genomic DNA (1 μL). The Trichoderma isolates ITS region was amplified at 95°C (initial denaturation) for 2 min, 40 denaturation cycles at 94°C for 1 min, 55°C (annealing) for 1 min, 72°C (extension) for 1 min, and at 72°C (final extension) for 10 min. Gel electrophoresis was performed for the polymerase chain reaction (PCR) products (10 μL), bands were recorded, and photographed in the gel documentation unit (Bio-Rad, Philadelphia, PA, USA). Bidirectionally Sanger sequencing method (Eurofins Pvt. Ltd) followed by sequence assembly with (Hall et al., 1999) was performed. For all ITS1, ITS4, and translation elongation factor 1-α (tef-1α) region sequences, multiple sequence alignment was performed using (Tamura et al., 2021) and CLUSTAL W (Thompson et al., 1994; Kashyap et al., 2023).

The ITS1 and ITS4 gene sequences of each Trichoderma isolate underwent alignment and basic local alignment search tool (BLAST) interface analysis using TrichoOKey, the National Center for Biotechnology Information (NCBI) database, and the TrichoBLAST program for tef-1α gene sequences. Sequence similarity percentages confirmed matches. Aligned sequences were then submitted to the DNA Data Bank of Japan (Mashima et al., 2017) and (Sayers et al., 2022) to obtain accession numbers for ITS and tef-1α regions. The molecular phylogenetic analysis employed the Maximum Likelihood technique using (Tamura et al., 2021) and (Tamura et al., 1993). A consensus tree was inferred, and nodal robustness was assessed using the bootstrap method with 1,000 replications to determine phylogenetic relationships among isolates and Trichoderma species.

In vitro assessment of Trichoderma isolates for antagonistic activity against Bipolaris maydis

The test pathogen B. maydis and the 19 Trichoderma isolates were inoculated at the opposing corners of Petri plates to see if the isolates were antagonistic to each other (Morton and Stroube, 1955). B. maydis inoculation was performed 3 days ahead of the Trichoderma isolates since it developed slowly in a culture. The observations were reported on the sixth day after the dual culture experiment was run in three replications. The mycelial growth area of B. maydis was measured. Utilizing the formula described by Mokhtar and Aid (2013), the percent inhibition of the pathogen vis-à-vis the control was ascertained: mycelial growth inhibition (MGI) (%) = (C − T) × 100/C. Here, MGI represents the percent inhibition of mycelial growth, where C denotes pathogenic control, and T signifies the area of B. maydis mycelial growth in dual culture with Trichoderma.

Inoculum preparation for maize plant treatment using selected bioagents

Water was used to soak the cleaned sorghum seeds for 12 h. The seeds were soaked, and then cooked for 20–25 min in a boiling water bath to soften the grains and then inoculated with a 3-day-old, actively growing Trichoderma isolate culture with the help of the sterilized aseptic cork borer, subsequently grown for 2 weeks at 28°C in a biochemical oxygen demand (BOD) incubator. The flasks were shaken rapidly to prevent clumping and disrupt the mycelial mat after 7 days of inoculation. The sorghum seeds that the Trichoderma isolates had colonized were allowed to air dry in the shade for 14 days before being pulverized in a mixer grinder.

Pure bioagent powder was obtained after being concurrently run through 50–80 mesh sieves. Talc powder and the finely ground Trichoderma isolates grown in sorghum seeds were combined in a 1:2 ratio, and the mixture was allowed to air dry for 3 days at room temperature in the shade. Approximately 5 g/kg of tapioca starch was added to the mixture. Pot tests were conducted using the final Trichoderma inoculum, which was adjusted in the formulation to 5 × 108 cfu/g and then packed in polythene bags at room temperature (25 ± 2°C). In the fully grown culture of B. maydis, the conidia in the culture were scraped with the help of a spatula, and were suspended in deionized water containing 0.02% tween 20. This process produced the conidial suspension of B. maydis. As recommended by previous research, the final pathogen concentration was adjusted to 1 × 106 conidia L−1 (Manzar et al., 2022b; Muimba-Kankolongo and Bergstrom, 2011). Using a hand-operated sprayer, the conidial suspension of B. maydis (106 conidia L−1) was sprayed on plants that were 25-days old in the evening to induce leaf blight symptoms. Plants treated with water only were considered as control plants, and plants inoculated with B. maydis as pathogen-induced controls.

Pot preparation and plant material

The glasshouse experimental setup comprised 5-kg plastic pots filled with sterilized autoclaved soil. Within each 30-cm plastic pot, healthy and surface-sterilized seeds of the susceptible Kanchan variety of maize were meticulously planted. The experiment included nine distinct treatments: T1 (CM212 + E7 + TR11), where CM212 is a moderately susceptible cultivar of maize, E7 is the virulent isolate of B. maydis, and TR11 is the isolate of Trichoderma; T7 (Dhiari local +TR11 + E7), where Dhiari local is the susceptible cultivar of maize, E7 is the virulent isolate of B. maydis, and TR11 is the isolate of Trichoderma; T4 (VL78 + E7 + TR11), where VL78 is the resistant cultivar of maize, E7 is the virulent isolate of B. Maydis, and TR11 is the isolate of Trichoderma; the pathogen inoculated control T8 (Dhiari local+E7), where Dhiari local is the susceptible cultivar of maize and E7 is the virulent isolate of B. Maydis; T2 (CM212 + E7), where CM212 is a moderately susceptible cultivar of maize and E7 is the virulent isolate of B. Maydis; T5 (VL78 + E7), where VL78 is the resistant cultivar of maize and E7 is the virulent isolate of B. maydis; the uninoculated untreated control T6 (VL78), where VL78 is the resistant cultivar of maize; T3 (CM212), where CM212 is a moderately susceptible cultivar of maize; and T9 (Dhiari local) where Dhiari local is the susceptible cultivar of maize. Ten seeds were sown per pot, with one healthy plant retained after germination. Each treatment was replicated five times in a completely randomized design. Pathogen inoculation occurred 25 days after sowing. Maize seeds underwent biopriming, involving surface sterilization with a 1% sodium hypochlorite solution followed by immersion in water for 24 h. Trichoderma-treated seeds received a talc-based formulation containing 5 × 108 cfu/g @10 g/kg of seeds in a 2% gum arabic solution, following established protocols (Lewis et al., 1991). Samples were collected for each biochemical assay from individual treatments and from plants either inoculated with the pathogen or left uninoculated, at specific intervals postinoculation—namely, 0, 24, 48, and 72 h—to evaluate the induction of defense-related enzymes in maize plants under glasshouse conditions, with an average of three replications. The samples were stored at −80°C. Enzyme activity data, including assays for superoxide dismutase, POX, and polyphenol oxidase, were obtained using a spectrophotometer. SOD was estimated by the method described (Beauchamp and Fridovich, 1971). Polyphenol oxidase (PPO) activity was estimated by the method described (Mayer et al., 1966). POX activity was determined by the standard method (Hammerschmidt et al., 1982). Plant growth traits and disease severity were assessed 45 days after sowing. Disease severity was quantified using the percent disease index (PDI), calculated based on leaf area infection scores ranging from 1 to 9. The PDI was calculated using the following formula: PDI (%) = Σ (Scale × Amount of plants)/ (Maximum grade × Total number of plants) described by Wheeler (1969).

Qualitative assay for ROS, callose deposition, and lignification

A maize leaves assay was conducted to measure reactive oxygen species (ROS) using the 3′,3′-diaminobenzidine (DAB) staining method. The DAB used in the assay was obtained from Sigma–Aldrich (USA), with catalog number D8001. The technique used in this assay was previously described by Thordal-Christensen et al. (1997), Bindschedler et al. (2006), and Daudi and O'Brien (2012). Leaf segments from various treatments were excised and submerged in a 1 mg/mL DAB solution (pH 3.8) for 8 h. This allowed the leaf segments to undergo a reaction with H2O2 and peroxidase. Leaf segments were treated with a solution containing 1.5 g/L trichloroacetic acid in ethanol:chloroform (4:1 v/v) for 48 h to achieve fixation. Subsequently, the segments were fixed in a solution consisting of 50% glycerol, which is commonly used in microscopy. Subsequently, digital photographs of leaf segments dyed with DAB were captured using a Canon digital camera from Japan. Each treatment consisted of four biological replicates. For callose deposition, leaves were cut into 5-mm strips; leaf samples were immersed in the fixative (ethanol/acetic acid, 3:1) and incubated for 12–24 h at room temperature. The fixed leaves were transferred into 1 N NaOH solution and incubate at 60°C for 1–2 h. Wash the cleared leaves several times with distilled water to remove NaOH. Stain the leaves by immersing them in aniline blue solution (in 1% [wt/vol]) aniline blue in 0.01 M K3PO4, pH 12, in darkness for 30–60 min in the dark at room temperature. After staining, wash the leaves gently with potassium phosphate buffer. The stained sections were mounted on slides and fixed using 95% ethanol before being observed under a compound light microscope manufactured by Nikon, Japan. The presence of blue color indicated callose deposition. The plants with different treatments were collected 15 days after being inoculated with B. maydis for lignin deposition. The roots were cut by hand and stained with a solution containing 1% phloroglucinol in 20% HCl. The stained sections were mounted on slides and fixed using 95% ethanol before being observed under a compound light microscope manufactured by Nikon, Japan. The presence of a pink color indicated lignin deposition, as described by Singh et al. (2011).

Gas chromatography–mass spectrometry

Fungal culture filtrates were analyzed using gas chromatography–mass spectrometry (GC–MS) to detect active biomolecules. Secondary metabolites were identified using a single quadrupole mass spectrometer detector, following methods described by Stoppacher et al. (2010) and Siddiquee et al. (2012). The secondary metabolites in the culture filtrate of Trichoderma species were analyzed by GC–MS. Hydrocarbons and other secondary metabolites were separated from Trichoderma methanol extracts using a Gas Chromatograph GC-2020 (Shimadzu).

The mycelial mat from the petri plates was harvested. Liquid nitrogen grinding was carried out, and the obtained powder was collected into the tubes. A 6-ml metabolite extraction buffer (methanol:chloroform:water = 62.5:25:12.5) was added. Homogenization was carried out for 15–20 min. The sample was vortexed at retention time (RT) for 30 min. Centrifugation was performed at 13,000 rpm for 30 min at 4°C. After centrifugation, two layers were observed. The lower layer containing metabolites was taken and vacuum dried. To the pellet obtained, 100 μL of derivatizing reagent was added and incubated at 80°C for 30 min. N,O-Bis(trimethylsilyl) trifluoro acetamide + trimethylchlorosilane (BSTFA + TMCS) is used as a derivatization reagent for GC. This derivatized sample was further taken for GC–MS analysis; column: Spincotech DB-5 Column, flow rate: 1 mL/min, injection volume: 1 μL, run time: 60 min, and m/z range: 50–800 were used. The identified compound spectra were compared with those in the GC–MS database of the National Institute of Standards and Technology (NIST), with a threshold for detection set at over 90% resemblance.

Statistical analysis

The data obtained from laboratory and glasshouse studies were analyzed using a one-way analysis of variance (ANOVA) method, as described by Trillas et al. (2006). Duncan’s multiple range test (DMRT) was employed to compare the means. The Statistical Product and Service Solution (SPSS) software version 16.0 was used for this analysis—created by SPSS, Inc., which is now known as IBM SPSS.

Results

The exploration survey was conducted to study the Trichoderma spp. from the rhizospheric soil of the Western Ghats. A total of 260 Trichoderma isolates were obtained and subjected to morphological, biochemical, and molecular analyses.

Morphological description

Upon obtaining a pure isolate of Trichoderma spp., morphological characterization was conducted according to Barnett and Hunter’s (1972) method. This entailed assessing concentric rings, pigmentation, and mycelium texture, as detailed in Table 1 and illustrated in Figures 1A,B. Microscopic identification involved examining cultural structures such as phialides, hyphae, conidial shape, and conidiophore number. Conidia exhibited a mean length ranging from 3.4–3.5 μm and a mean width ranging from 2.7–3.0 μm.

Table 1

Isolate codeGPS locationCountryHostSource of isolationGenBank accession no.Identity of isolatesConidia size
Length × width
Conidia shape
ITSTEF
TR4113.87428 N 75.23412 EIndiaCoconutRhizospheric soilPP175190LC799601Trichoderma koningiopsis3.7 μm × 2.3 μmoblong to ellipsoidal or ovoidal and smooth
TR812.44 N 75.93 EIndiaBambooRhizospheric soilPP153914LC799821Trichoderma caribbaeum var. caribbaeum4.8 μm × 2.5 μmConidia ellipsoidal to nearlyoblong, smooth.
TR4012.43 N 75.89 EIndiaArtocarpus hirsutusRhizospheric soilPP153421LC799822T. caribbaeum var. caribbaeum3.1–3.2 μm × 3 μmConidia ellipsoidal to nearly oblong, smooth
TR2814.00 N 75.55 EIndiaArecanutRhizospheric soilPP152293LC799823T. koningiopsis3.9 μm × 2.7 μmoblong to ellipsoidal or ovoidal and smooth
TR2512.51 N 75.49 EIndiaRubberRhizospheric soilPP141160LC799824Trichoderma lixii3.5 μm × 1.9 μmglobose or subglobose conidia
TR1212.92 N 76.40 EIndiaCurcuma longaRhizospheric soilPP141036LC799825T. koningiopsis2.7 μm × 2.1 μmoblong to ellipsoidal or ovoidal and smooth
TR2112.93 N 75.76 EIndiaSugarcaneRhizospheric soilPP140921LC800024Trichoderma brevicompactum2.7–3.5 μm × 2.5–3.0 μmConidia were sub-spherical or oval and smooth
TR-1012.47 N 75.59 EIndiaPiper nigrumRhizospheric soilPP140887LC800025Trichoderma atroviride3.0–4.0 μm × 2.0–3.0 μmConidia were sub-globose to globose, smooth, and thick-walled
TR3012.41 N 75.71 EIndiaCoffeeRhizospheric soilPP140873LC800026T. koningiopsis3.9 μm × 2.5 μmoblong to ellipsoidal or ovoidal and smooth
TR312.39 N 75.87 EIndiaSenegalia catechuRhizospheric soilPP140845LC800027T. brevicompactum3.2 μm × 2.8 μmConidia were sub-spherical or oval and smooth, conidiophores was 1.8–2.9 × 0.9–2.1 μm
TR112.51 N 75.50 EIndiaRubberRhizospheric soilPP140831LC800028T. brevicompactum3.1 μm × 2.9 μmConidia were sub-spherical or oval and smooth
TR412.33443 N 76.1507 EIndiaTobaccoRhizospheric soilPP112347LC800245T. brevicompactum3.5 μm × 3.0 μmConidia were sub-spherical or oval and smooth
TR1712.33 N 76.15 EIndiaRagiRhizospheric soilPP112276LC800246T. lixii3.5 μm ×2.1 μmglobose or subglobose conidia
Tr1412.42 N 77.20 EIndiaCocoaCoconutRhizospheric soilPP112272LC800247Trichoderma erinaceum1.3 μm × 1.5 μmellipsoidal to broadly ellipsoidal
TR2014.91 N 74.25 EIndiaMaizeRhizospheric soilPP217768LC800357Trichoderma asperellum3.32 μm × 3.18 μmglobose toovoidal
TR4413.50 N 75.21 EIndiaRubberRhizospheric soilPP229207LC800358T. asperellum2.6 μm × 2.32 μmglobose toovoidal
TR5315.02 N 74.77 EIndiaRagiRhizospheric soilPP229206LC800359T. asperellum3.09 μm × 2.95 μmglobose toovoidal
TR1112.512045 N 75.509370 EIndiaRubberRhizospheric soilPP346030LC800360T. brevicompactum3.5 μm × 3.0 μmConidia were sub-spherical or oval and smooth
TR5113.34 N 75.00EIndiaRubberRhizospheric soilPP340179LC800361T. brevicompactum2.8 μm × 2.1 μmConidia were sub-spherical or oval and smooth

Detailing Trichoderma isolate data, including isolate codes, geographical information, host sources, genetic sequence accessions, and morphological characteristics of conidia.

Figure 1

Molecular characterization of Trichoderma isolates

Molecular identification of 19 Trichoderma isolates was conducted using DNA sequencing of the internal transcribed regions (ITS1 and ITS4) and a segment of the tef-1α gene. This approach confirmed species identity, complementing earlier morphological assessments. Amplicon sequencing revealed consistent fragment sizes of 650 bp for ITS and 600 bp for tef-1α across all isolates. Sequence analysis and BLAST search confirmed species classification with five isolates identified as Trichoderma koningiopsis (TR41, TR28, TR12, TR28, and TR30), six as Trichoderma brevicompactum (TR11, TR51, TR4, TR1, TR3, and TR21), two as Trichoderma caribbaeum var. caribbaeum (TR8 and TR40), one as Trichoderma atroviride (TR10), three as Trichoderma asperellum (TR44, TR53, and TR20), two as Trichoderma lixii (TR17 and TR25), and one as Trichoderma erinaceum (TR14). Accession numbers were obtained for submitted gene sequences in the NCBI GenBank database. Geographical coordinates and other relevant data are provided (Table 1). The outgroup species were selected to illustrate phylogenetic relationships, Mucor circinelloides (JN205961) for ITS and Mucor rongii (MT815277) for tef-1α were chosen as an outgroup.

Phylogenetic relationship based on ITS rRNA and tef-1α gene sequences

Phylogenetic analysis was performed on 19 Trichoderma isolates (TR41, TR8, TR40, TR28, TR25, TR12, TR10, TR30, TR3, TR1, TR17, Tr14, TR20, TR44, TR53, TR11, and TR51) using ITS1, ITS4, and tef-1α sequences. The analysis confirmed their classification within the Trichoderma genus. The bootstrap analysis assessed nodal robustness, with numerical values indicating bootstrap support. Based on these values, the 19 Trichoderma spp. isolates were categorized into two distinct clades, designated as clade A and clade B, using ITS1 and ITS4 gene sequences, respectively. The T. atroviride isolate TR10, clustered with T. atroviride 2019-1 (MW386846) and Tri178 (HQ229943) with a bootstrap value of 66%. The isolates of T. koningiopsis TR12, TR41, and TR28 clustered with T. koningiopsis_XXTF5 (MN602617), Tk1 (MT111912), and Dis326h (DQ379015), respectively, with a bootstrap value 63%, whereas T. caribbaeum var. caribbaeum TR8 clustered with T. caribbaeum var. caribbaeum_TR10 with a bootstrap value 87%. T. erinaceum TR14 clustered with T. erinaceum (MK714900 and MK714901) with a bootstrap value of 99%. T. asperellum (TR44, TR20, and TR53) formed as a distinct clade and clustered with T. asperellum (MT102403) at a bootstrap value of 87%. The separated clade B formed two subclades where subclade B1 consists of T. lixii (TR25 and TR17) clustered with T. lixii (OK147869) and subclade B2 consists of T. brevicompactum (TR21, TR4, TR3, and TR1) clustered with T. brevicompactum (CBS112443 and TB003) and the outgroup were M. circinelloides, respectively (Figure 2A). The bootstrap values indicated the division of the 19 Trichoderma spp. isolates into two distinct clades based on tef-1α gene sequences. Clade A consists of four subclades, subclade A1 consists of two subclades, one subclade consists of T. lixii (TR25 and TR17) clustered with T. lixii (J763177 and EF191332) with a bootstrap value of 100%, and the other subclade consists of T. caribbaeum var. caribbaeum isolates (TR40 and TR8) clustered with T. caribbaeum (KJ871190) with a bootstrap value of 98%. The subclade A2 consists of two clades where T. atroviride formed a separate clade and T. asperellum (TR44, TR20, and TR53) clustered as a distinct clade with T. asperellum (MK095221, JKQ617311, and EU856323) with a bootstrap value of 96%. The subclades A3 consists of two subclades T. erinaceum isolates TR14 formed a distinct clade, whereas the other subclades consist of T. brevicompactum TR1, TR51, TR11, TR21, TR4, and TR3 clustered with T. brevicompactum (EU338273, FJ618573, and EU338294). The subclades A4 consists of Trichoderma koningiopsis (TR28, TR41, TR12, and TR30), clustered with Trichoderma koningiopsis (KT278985, FJ467647, and JQ040437) with a bootstrap value of 90%. Clade B consists of T. erinaceum (OR841153), which formed a distinct clade, and clade C consists T. caribbaeum (KJ665443) with a distinct clade and an outgroup M. rongii formed a separate clade (Figure 2B).

Figure 2

In vitro assessment of Trichoderma isolates for antagonistic potential

The in vitro screening of Trichoderma isolates revealed a noteworthy reduction in the mycelial growth of B. maydis, ranging from 39.52 to 60.00%. Among the isolates, TR11 exhibited the highest inhibition rate at 60.00%, followed by TR21 and TR06, which showed inhibition rates of 58.57 and 58.38%, respectively (Supplementary Table S2 and Figures 3A,B).

Figure 3

Exploring biochemical defensive enzyme cascade in maize against Bipolaris maydis under glasshouse conditions

The enzymatic activities of superoxide dismutase (SOD), polyphenol oxidase (PPO), and POX were assessed at 0, 24, 48, and 72-h postinoculation with B. maydis in 30-day-old maize plants. In all treatments, including seed biopriming with Trichoderma isolates, activities of SOD, PPO, and PO were significantly elevated compared to both the pathogen-treated control and the untreated healthy control. Treatment T7 (Dhiari Local+TR11 + E7) exhibited the highest SOD activity, 27.11% higher than the pathogen control at 72 h, followed by treatment T1 (CM212 + TR11 + E7) with a 20.38% increase, where CM212 is a moderately susceptible cultivar of maize, E7 is the virulent isolate of B. maydis, and TR11 is the isolate of Trichoderma. Treatment T4 showed the highest POX activity, while T1 recorded the highest PPO activity, both exceeding the pathogen control by 13.02 and 12.50%, respectively, at 72 h postinoculation. These enzyme activities remained stable at 0 h, increased at 24 h, and peaked at 72 h postinoculation across all treatments. Conversely, the untreated pathogen control showed no significant increase in enzyme activity (Figure 4).

Figure 4

Enhancing growth and reducing disease in maize through seed biopriming with Trichoderma isolates

Significant enhancements in crop physiological growth parameters, such as root length, shoot length, fresh shoot, and root weight, as well as dry shoot and root weight, were observed following seed biopriming treatments compared to the control under controlled glasshouse conditions after a 45-day period post sowing. Among these treatments, treatment T1 (CM212 + E7 + TR11) demonstrated the highest measurements for root length (57.03 cm), shoot length (113.33 cm), fresh shoot weight (25.57 g), root weight (9.15 g), dry shoot weight (3.70 g), dry root weight (1.38 g), and total chlorophyll content (31.12) (Supplementary Table S3). The findings indicate that all Trichoderma isolates led to a reduction in the percent disease index (PDI) relative to the pathogen-inoculated control. Treatment T4 (VL78 + E7 + TR11) exhibited the lowest PDI (31.88%), followed by T1 (CM212 + E7 + TR11) (35.22%), which statistically resembled T7 (Dhiari local + TR11 + E7) (37.81%) (Figure 5). Conversely, the highest PDI was recorded in the pathogen-inoculated control across different varieties, with T8 (Dhiari local+E7) (46.60%) showing the highest, followed by T2 (CM212 + E7) (44.74%), at the 45th day after sowing (Supplementary Table S4).

Figure 5

Induction of lignin deposition in maize roots, induction of callose deposition in maize leaves against pathogen invasion and ROS

Lignin deposition within the cell wall serves as a defensive mechanism against plant pathogen invasion into vascular tissues. Histochemical staining of transverse sections of maize root tissues treated with various methods revealed differences in lignin deposition. The treatments, T1 (CM212 + E7 + TR11), T7 (Dhiari local +TR11 + E7), and T4 (VL78 + E7 + TR11), with Trichoderma isolate (TR11), showed the highest lignification in all cultivars compared to the pathogen inoculated and healthy controls. Lignin deposition increased after pathogen inoculation. The strongest increase was observed after treatment with the pathogen only and after combined treatment with TR11 isolate. (Supplementary Figure S1A).

The assessment of reactive oxygen species (ROS) accumulation and callose deposition in maize tissues was conducted to elucidate the innate immune response of plants following inoculation with Trichoderma. Notably, ROS, particularly hydrogen peroxide (H2O2), exhibited marked accumulation in maize leaves 48 h postpathogen inoculation, as evidenced by in situ DAB staining. The Trichoderma-treated plants also demonstrated induction of H2O2 accumulation in leaves (Supplementary Figure S1B). Moreover, the analysis of callose deposition, an additional marker of plant innate immune response, in maize leaf tissue after 48 h of treatment, demonstrated a notable rise in both the quantity and area percentage of callose deposition compared to mock controls (Supplementary Figure S1C).

Analysis of secondary metabolites produced by Trichoderma spp. under in vitro conditions

To identify metabolites that might be involved in growth promotion and biocontrol effects we further analyzed T. brevicompactum TR11 isolate by GC–MS as it was the most promising strain. A total of 88 compounds were identified from the GC–MS analysis. Results of the GC–MS analysis (Supplementary Figure S2 and Table 2), indicated that the main components of Trichoderma brevicompactum TR11 filtrate were octadecanoic acid (peak area: 16.27%), palmitic acid-TMS (peak area: 9.44%), phosphoric acid-3TMS (peak area: 7.35%) galactopyranose, 5TMS (peak area: 6.52%), 5-(4-nitrophenoxymethyl) (peak area: 5.43%), furane-2-carboxaldehyde (peak area: 5.43%), stearic acid-TMS (peak area: 4.05%), laevulic acid – TMS (peak area: 3.48%), sucrose, 8TMS(peak area: 3.18%) D-fructose, 6-O-[2,3,4,6-tetrakis-O-(trimethylsilyl)-α-d-glucopyranosyl]-1,3,4,5-tetrakis-O-(trimethylsilyl) (peak area: 2.83%), linoleic acid trimethylsilyl ester (peak area: 2.83%), 2-palmitoylglycerol, 2TMS (peak area: 2.53%), 3-methyl-2-furoic acid, TMS (peak area: 2.12%),whereas, other components were present in low percentages; hexadecanoic acid, methyl ester (peak area: 1.39%), d-(−)-fructofuranose, pentakis(trimethylsilyl) ether (isomer 2) (peak area: 1.38%), butylated hydroxytoluene (peak area: 1.13) elaidic acid-TMS (peak area: 1.56%), cis-5,8,11,14,17-eicosapentaenoic acid, tert-butyldimethylsilyl ester (peak area: 1.51%), lactose, 8TMS (peak area: 1.21%), butylated hydroxytoluene(peak area: 1.13%). On the contrary, there are many components present in traces (peak area less than 1%).

Table 2

S. No.Compound nameRTArea% of compound
1Benzenamine, 2,5-dimethyl-3.193362,480.06
2N-Trifluoroacetylmorpholine3.24854,4550.09
33,6,9-Trioxaundecanedioic acid, bis(trimethylsilyl) ester3.967290,5360.46
4Dodecane, 2,6,11-trimethyl-4.062130,1180.21
5Acetic acid, [(trimethylsilyl)oxy]-, trimethylsilyl ester4.276132,4760.21
6Alanine, 2TMS4.82763,3660.10
7Dodecane, 2,6,11-trimethyl-4.9135,3020.06
8Ethyl(2-hydroxyethyl)carbamic acid, O,O’-bis(trimethylsilyl)5.505466,3030.74
9Levulic acid – TMS5.5752,208,5583.48
10α-Hydroxyisovaleric acid, (2TMS)-6.22961,1470.10
11Trisiloxane, 1,1,1,5,5,5-hexamethyl-3,3-bis[(trimethylsilyl)oxy]-6.32324,3580.04
12Furane-2-carboxaldehyde, 5-(4-nitrophenoxymethyl)-6.7513,439,2765.43
13Pentanoic acid, 4-methyl-2-[(trimethylsilyl)oxy]-, trimethylsilyl ester8.14316,8890.03
142-Acetylamino-2-methyl-1-propanol, trimethylsilyl ether8.565100,6680.16
15RT:9.0889.475102,7710.16
16Phosphoric acid-3TMS9.3264,660,0317.35
17Hexadecane-1,2-diol, bis(trimethylsilyl) ether9.5916,3140.03
18Niacin, TMS9.94733,4600.05
19Phenylacetic acid, monoTMS10.051303,5260.48
203-Methyl-2-furoic acid, TMS10.5611,346,0542.12
21Uracil, 2TMS11.23654,1490.09
223,5-Dimethoxymandelic acid, di-TM11.60839,5130.06
23Fumaric acid, bis-TMS11.72563,7690.10
242-Amino-2-(hydroxymethyl)propane-1,3-diol, N-acetyl-, tris(trimethylsilyl) ether11.94270,6790.11
25Tetradecane13.28638,2640.06
26Glutaric acid-2TMS13.41784,4940.13
27Eicosane15.951188,0970.30
28Butanedioic acid, [(trimethylsilyl)oxy]-, bis(trimethylsilyl) ester15.977178,5610.28
29Butylated hydroxytoluene16.4718,6581.13
302-Aminobenzoxazole, 2TMS17.339209,4190.33
313-Phenyllactic acid, 2TMS18.62216,7090.03
322-Amino-2-(hydroxymethyl)propane-1,3-diol, N-acetyl-, tris(trimethylsilyl) ether19.106140,3250.22
33Hexadecane19.26443,0290.07
34Cyclooctasiloxane, hexadecamethyl-20.19868,6880.11
35Tartaric acid-4TMS20.35555,4920.09
363,5-Di-t-butyl-4-methoxy-1,4-dihydrobenzaldehyde21.499302,2020.48
37Eicosane22.039318,6660.50
38Phosphorin, 2,4,6-tris(1,1-dimethylethyl)-22.819249,5230.39
39Ribose-4TMS23.06898,1300.15
40Eicosane23.231160,9610.25
41Cyclononasiloxane, octadecamethyl-24.371138,8970.22
42Fructose-5TMS24.849630,7501.00
43d-(−)-Fructofuranose, pentakis(trimethylsilyl) ether (isomer 2)25.067876,1811.38
44Hexadecyl isopropyl ether25.66544,5000.07
45β-d-Galactofuranose, 1,2,3,5,6-pentakis-O-(trimethylsilyl)-25.9421,021,0651.61
46D-Xylopyranose, 1,2,3,4-tetrakis-O-(trimethylsilyl)-26.2699,8090.16
47Galactopyranose, 5TMS27.0762,688,2564.24
48Eicosane27.536341,5170.54
49Hexadecanoic acid, methyl ester27.921881,5211.39
50Cyclononasiloxane, octadecamethyl-28.081174,8370.28
51n-Pentadecanoic acid28.446157,9270.25
52Eicosane28.583103,1520.16
53Galactopyranose, 5TMS29.3714,133,2776.52
54Palmitic acid-TMS30.8965,983,3999.44
55Cyclooctasiloxane, hexadecamethyl-31.475128,9500.20
56Linoleic acid, methyl ester31.868463,0540.73
57Elaidic acid, methyl ester32.02989,9880.14
58Methyl stearate32.657255,8660.40
59Tetrapentacontane32.508339,5090.54
60Margaric acid-TMS33.04193,6400.15
61Tetrapentacontane33.454105,9280.17
62Nonadecanamide33.866176,4430.28
63Linoleic acid trimethylsilyl ester34.5231,791,1272.83
64Elaidic acid-TMS34.646990,5761.56
65cis-5,8,11,14,17-Eicosapentaenoic acid, tert-butyldimethylsilyl ester35.157957,1511.51
66Stearic acid-TMS35.2552,565,5884.05
67β-l-Galactopyranose, 6-deoxy-1,2,3,4-tetrakis-O-(trimethylsilyl)36.60367,4540.11
68Tetrapentacontane37.034271,0380.43
69Cyclononasiloxane, octadecamethyl-37.403147,3220.23
70Myristic acid, 2,3-bis(trimethylsiloxy)propyl ester38.39696,4151.10
71Cyclononasiloxane, octadecamethyl-40.09173,9360.27
722-Palmitoylglycerol, 2TMS41.5461,606,0782.53
73Cyclononasiloxane, octadecamethyl-42.6271,96,1620.31
74Lactose, 8TMS42.766765,9441.21
75Sucrose, 8TMS42.982,016,4183.18
76d-Fructose, 6-O-[2,3,4,6-tetrakis-O-(trimethylsilyl)-α-d-glucopyranosyl]-1,3,4,5-tetrakis-O-(trimethylsilyl)-43.3381,790,9572.83
77d-(−)-Ribofuranose, tetrakis(trimethylsilyl) ether (isomer 2)43.592751,0361.19
78Heptadecanoic acid, glycerine-(1)-monoester, bis-O-trimethylsilyl-43.895100,4350.16
79Trehalose-8TMS44.833473,7010.75
802-Monostearin, 2TMS45.038918,9911.45
813-α-Mannobiose, octakis(trimethylsilyl) ether (isomer 2)45.513128,9860.20
82Per-O-trimethylsilyl-(3-O-α-d-mannopyranosyl-4-O-β-d-glucopyranosyl-d-glucitol)45.513128,9860.20
83Glycerol monostearate, 2TMS45.72410,311,39216.27
84Maltose, 8TMS47.626360,7350.57
85Maltose, octakis(trimethylsilyl) ether (isomer 1)47.931255,6950.40
862,3-Dihydroxypropyl icosanoate, 2TMS48.882131,9990.21
87Cyclononasiloxane, octadecamethyl-51.60281,0900.13
883,5-Cyclo-6,8(14),22-ergostatriene53.616148,9480.24

Detailing compound analysis data.

This includes secondary metabolite compound names, retention times (RT), peak areas (area), and the percentage of each compound in the total composition (% of compound).

Discussion

In this study, Trichoderma strains were isolated and characterized from the Western Ghats of India, reflecting Trichoderma as a key mycobiome component in varied ecosystems, such as forests, supported by the studies by Kamala et al. (2015) and Ghorbanpour et al. (2018). In our study, a multigene approach involving the tef-1α, ITS1, and ITS4 gene sequences was used to accurately classify 19 Trichoderma isolates into seven distinct species: T. koningiopsis, T. brevicompactum, T. caribbaeum var. caribbaeum, T. lixii, T. asperellum, T. atroviride, and T. erinaceum. Similarly, Zheng et al. (2021) used tef-1α and RNA polymerase II second largest subunit (rpb2) sequences to identify Trichoderma isolates, including species such as T. achlamydosporum and T. aquatica.

Trichoderma spp. exhibit strong antagonistic potential through mycoparasitism, competition, antibiosis and induce systemic resistance in plants, which helps reduce the incidence and severity of diseases caused by phytopathogens (Atanasova et al., 2013; Vargas et al., 2014; Cherkupally et al., 2017). According to the in vitro results, the T. brevicompactum TR11 isolates exhibited significant inhibitory potential against the B. maydis E7 isolates, restricting its mycelial growth by up to 60% compared to other isolates in the dual culture assay. Numerous studies have supported the antagonistic potential of certain Trichoderma species, against Exserohilum turcicum, Bipolaris oryzae, and Colletotrichum graminicola (Ma et al., 2023; Khalili et al., 2012; Manzar et al., 2021). The findings from the glasshouse experiments highlight the antagonistic capabilities of Trichoderma isolates against B. maydis, in maize plants. Treatment T1 (CM212 + E7 + TR11), which comprised the moderately susceptible maize variety CM212, the virulent strain E7, and the Trichoderma isolate TR11, exhibited significant improvements in several plant growth parameters, such as root and shoot lengths, fresh and dry weights of shoots, as well as a reduction in disease severity compared to the pathogen-inoculated control under glasshouse conditions. In a previous study, seeds of Celosia cristata treated with Trichoderma harzianum Th62 also showed significantly increased plant height, diameter of the stem, number of branches, dry weight of root, stem, leaf, and flower and enhanced resistance against Alternaria alternata, Rhizoctonia solani, Cystospora chrysosperma, Sclerotinia sclerotiorum, and Fusarium oxysporum (Hou et al., 2021).

In our study treatment T1, which combined the moderately susceptible maize variety CM212, the B. maydis virulent strain E7, and the Trichoderma isolate TR11, showed a marked increase in the activities of defense enzymes such as POX, polyphenol oxidase, and superoxide dismutase compared to pathogen-treated control and the untreated, unchallenged healthy control. This increased defense enzymatic activity is vital for reinforcing the plant defense mechanisms and, as a result, slows the progression of the disease. Our findings align with existing literature that highlights the importance of enzymes such as polyphenol oxidase and POX in biological control and plant disease resistance (Zhang et al., 2008; Petrov and Van Breusegem, 2012; Singh and Singh, 2012; Kashyap et al., 2021). In our experiments, maize plants treated with Trichoderma isolates TR11 displayed significant callose deposition and lignification levels, which contributed to their resistance against MLB. This is consistent with the findings that Trichoderma spp. treated plants exhibited increased activities of various defense enzymes, including glucanase, POX, and polyphenol oxidase, alongside enhanced cell wall lignification and callose deposition compared to untreated controls (Singh et al., 2019; Keswani et al., 2019; Keswani et al., 2014; Siddaiah et al., 2017; Ben Amira et al., 2018; Kashyap et al., 2022). The TR11 isolate exhibited strong biocontrol potential, demonstrating both growth promotion and antagonism through experiments on antimicrobial activity, in vitro antibiosis, pot trials for plant growth promotion, and induction of systemic resistance. A total of 88 compounds were detected in the ethyl acetate extracts. The primary constituents include fatty acids, esters, aldehydes, hydrazides, pyrazines, imidazoles, triazines, and fatty amides. The primary active ingredient in our investigations T. brevicompactum TR11 isolate acetonic extract was glycerol monostearate 2TMS, followed by palmitic acid-TMS and phosphoric acid-3TMS in the Trichoderma TR11 filtrate. Similar findings were found in Trichoderma species, such as T. harzianum and Trichoderma viride produce secondary metabolites such as butanoic acid, propanoic acid, and hexadecanoic acid, which inhibit the growth of phytopathogenic fungi, such as Colletotrichum lagenarum, S. sclerotiorum, and Cercospora beticola (Agoramoorthy et al., 2007; Liu et al., 2008; Altieri et al., 2007; Avis et al., 2000; Pohl et al., 2011). The fatty acids such as pentadecanoic acid, butanedioic acid, dodecanoic acid, heptadecanoic acid, palmitic acid, and octadecenoic acid exhibit antifungal and antibacterial properties against various plant pathogens.

Conclusion

Exploring the biodiversity hotspot of the Western Ghats of India, Trichoderma isolates were meticulously screened, revealing 7% with robust biocontrol potential and growth-promoting activities. Notably, three novel Trichoderma isolates—T. caribbaeum var. caribbaeum, T. lixii, and T. brevicompactum—were reported for the first time from this region. Molecular characterization, based on ITS-rRNA and tef-1α gene sequencing, identified major isolates, enhancing our understanding of genetic diversity. In vitro screening demonstrated substantial mycelial growth inhibition by 24 Trichoderma spp. isolates against B. maydis, underscoring their biocontrol efficacy. The biochemical defense mechanisms in maize, including elevated enzymatic activities and seed biopriming with Trichoderma isolates TR11, showcased promising disease reduction and growth promotion attributes. Induction of lignin and callose depositions in maize roots and leaves postpathogen invasion highlighted intricate defense responses. This study provides a comprehensive insight into the multifaceted roles of Trichoderma spp. in boosting plant health and combating phytopathogens, emphasizing their potential in sustainable agriculture and paving the way for the future research endeavors in crop protection and productivity enhancement.

Statements

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: NCBI database.

Author contributions

NM: Conceptualization, Data curation, Methodology, Resources, Software, Visualization, Writing – original draft, Writing – review & editing. AK: Formal analysis, Software, Supervision, Visualization, Writing – review & editing. MR: Writing – review & editing. PS: Funding acquisition, Writing – review & editing. AS: Funding acquisition, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by project RPP01_NaziaManzar, Indian Council of Agricultural Research – National Bureau of Agriculturally Important Microorganisms (ICAR-NBAIM), and Indian Soil Microbiome Project.

Acknowledgments

The authors would like to acknowledge the Director of Indian Council of Agricultural Research – National Bureau of Agriculturally Important Microorganisms (ICAR-NBAIM) Mau for providing laboratory facilities to conduct this research.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2024.1493272/full#supplementary-material

Abbreviations

ITS Internal transcribed spacer tef-1α Translation elongation factor 1-α DNA Deoxyribonucleic acid BLAST Basic local alignment search tool NCBI National Center for Biotechnology Information rRNA Ribosomal ribonucleic acid SOD Superoxide dismutase PPO Polyphenol oxidase PO Peroxidase PDI Percent disease index ROS Reactive oxygen species H2O2 Hydrogen peroxide DAB 3,3’-Diaminobenzidine GC–MS Gas chromatography–mass spectrometry MLB Maydis leaf blight SCLB Southern corn leaf blight rpb2 RNA polymerase II second largest subunit DDBJ DNA data bank of Japan

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Summary

Keywords

galactopyranose, Trichoderma spp., secondary metabolites, host-pathogen interaction, diversity

Citation

Manzar N, Kashyap AS, Roy M, Sharma PK and Srivastava AK (2024) Exploring Trichoderma diversity in the Western Ghats of India: phylogenetic analysis, metabolomics insights and biocontrol efficacy against Maydis Leaf Blight disease. Front. Microbiol. 15:1493272. doi: 10.3389/fmicb.2024.1493272

Received

08 September 2024

Accepted

04 November 2024

Published

20 December 2024

Volume

15 - 2024

Edited by

Debasis Mitra, Graphic Era University, India

Reviewed by

Karin E. Groten, Max Planck Institute for Chemical Ecology, Germany

Hanane Boutaj, University Abdelmalek Essaâdi, Morocco

Updates

Copyright

*Correspondence: Abhijeet Shankar Kashyap, Nazia Manzar,

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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