Biocontrol efficacy of Trichoderma isolates in controlling aflatoxinogen fungi (Aspergillus flavus) and growth promoting of maize in Cameroun

Biocontrol efficacy of Trichoderma isolates in controlling aflatoxinogen fungi (Aspergillus flavus) and growth promoting of maize in Cameroun | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Biocontrol efficacy of Trichoderma isolates in controlling aflatoxinogen fungi (Aspergillus flavus) and growth promoting of maize in Cameroun EDMOND NOEL MENYE ABOUNA, Keziban Sinem TULUKOĞLU KUNT, Nida UYSAL unlu, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5091298/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Maize is a significant cereal crop, serving as a dietary staple and an indispensable raw material for industrial use in Cameroon. Aflatoxinogen fungi ( Aspergillus spp), an opportunistic plant microorganism, alter by mycotoxin the biochemical components in maize during processing and storage, causing post-harvest losses and compromising food safety. The use of Trichoderma spp as a biological control agent against aflatoxigenic fungi and as a fertilizer has long been proven in agriculture by numerous researchers. This study aimed to isolate and characterize Trichoderma spp from maize rhizosphere soil and assess its potential for biological control of Aspergillus spp isolated from maize seeds and for promoting the growth of maize. Isolation and sequencing showed that our isolates were Trichoderma harzianum for CR-TS1 and T. ghanense for CR-TS3, CR-TS4, and CR-TC1. When tested directly against A. flavus on a PDA medium, the Trichoderma spp inhibited growth with percentages of 78.83%, 77.01%, 75,88%, and 74,95% for CR-TS1, CR-TS3, CR-TC1, and CR-TS4 respectively. Similarly, to verify our isolates' capacity to secrete volatile compounds, a remote confrontation test was carried out by contrasting Trichoderma spp and Aspergillus spp. The results of this test demonstrated the secretion of volatile compounds by our Trichoderma spp with inhibition of 40.94%, 29.48%, 34.36, and 32.19% respectively for CR-ST1, CR-ST3, CR-TC1, and CR-TS4. Our study also showed that isolated Trichoderma spp can produce extracellular enzymes such as amylase, protease, and lignase. Similarly, the phosphate solubilization test on Pikovskaya (PVK) medium and the siderophore test on chrome azurol S (CAS) agar medium using our Trichoderma spp isolates were all positive, with halo formation around the colony for phosphate solubilization and a color change from blue to yellow for the siderophore. IAA, one of the phytohormones essential not only for the microorganism but also for the plant, tested positive on PDB medium supplemented with L-tryptophan. Similarly, the application of 10 7 spores/ml of suspension to maize seeds in vitro significantly (p < 0.05) boosted maize germination from 90 to 100% compared with the control, which was at 80%. The results of pot experiments carried out to assess the growth promotion effect of our isolates showed a significant increase in plant size, root length, dry and fresh weight of plants and roots, as well as chlorophyll production. All these results show that our isolates can be used in agriculture as a biocontrol agent for aflatoxinogenic fungi and as a fertilizer. biological control Trichoderma Aspergillus aflatoxinogen growth promotion maize Cameroon Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 1. Introduction Food security is a fundamental human right, and as the global population is expected to reach nearly 10 billion by 2050, it is the paramount concern of all countries to increase their agricultural production [ 1 ]. Maize is the most widely eaten staple food in sub-Saharan Africa (SSA) [ 2 ]. In Cameroon, maize is the most widely consumed cereal, far ahead of sorghum, rice, and wheat. But it’s not just a staple crop that’s eaten in the form of fermented, dry dough. It’s also often roasted, used as maize porridge, and used for lots of other things. Furthermore, it’s a major source of raw materials for many local and sub-regional agro-industries (breweries, animal feed production). Maize is a key ingredient in animal feed, making up 65% of the inputs used to make poultry feed. Consequently, cultivation of maize represents a highly strategic undertaking in Cameroon, with implications for both food security and national sovereignty [ 3 ]. Cameroon produces over 2.1 million metric tons of maize, making it the 44th largest producer in the world and the 13th largest in Africa. However, this production is still insufficient to meet the country's ever-increasing demand, and it is therefore importing large quantities of maize and maize products [ 4 ]. Fungus species belong to the Aspergillus genus are, responsible for producing the toxic metabolite aflatoxin. This metabolite is known to induce cancer and alterations to the digestive tract, kidneys, blood, and nerves in humans and animals [ 5 ]. Furthermore, it’s the cause of significant deterioration in the quality and quantity of maize, resulting in substantial economic losses [ 6 ]. The prevalence of aflatoxin contamination and associated infections is exacerbated under conditions of plant stress, such as those caused by high temperatures and drought. Consequently, the anticipated effects of climate change and global temperature increases are expected to enhance the likelihood of aflatoxin occurrence in temperate regions in the coming years. In this context, the management of aflatoxigenic fungi at both the pre- and post-harvest stages represents a crucial element of a comprehensive strategy aimed at reducing the risk of aflatoxin contamination at the consumer level [ 7 ]. To address this issue, a number of alternative approaches have been developed, one of which is the use of chemical inputs. However, the overuse of chemical fertilizers, despite their high nutrient content and ability to facilitate faster crop growth, has been found to be detrimental to human health and the environment. Furthermore, these fertilizers have been identified as a significant source of groundwater and atmospheric pollution [ 8 ]. However, ecologically sustainable agriculture, based on good agricultural practices and the use of beneficial micro-organisms as bio-fertilizers, can offer integral solutions to achieving a high-quality, sustainable food system. Naturally, around 80% of higher plants including maize are associated with fungi and bacteria contained in bio-stimulant preparations that promote growth, increase yield, influence the biodiversity of plant species, contribute to fight against pathogens and pests, improve plant nutrition in polluted environments, stabilize soil aggregates by releasing numerous substances and have properties to ensure post-harvest protection. This has a positive ecological and economic impact, with a broad spectrum of action ensuring the stability of the natural environment [ 9 ]. It is therefore considered that the biological management of plant diseases with different bacterial and fungal biocontrol agents represents a safer option. The fungus species Trichoderma (Hypocreales) are employed globally as a highly profitable agent for the biological control of plant diseases. The molecular-level interactions of Trichoderma spp. with host plants and pathogens are crucial for comprehending the diverse mechanisms by which the fungus establishes a symbiotic relationship with its plant host through its superior antifungal and antimicrobial activity. When working in synchrony, mycoparasitism, antibiosis, competition, and the induction of systemic acquired resistance (SAR)-like response are considered key factors in deciding the biocontrol potential of Trichoderma [ 10 ]. Moreover, Trichoderma spp. have been demonstrated to enhance plant growth through a range of mechanisms, including the solubilization of insoluble phosphate, the production of siderophores, and the synthesis of plant hormones such as indole acetic acid [ 11 ]. It has been demonstrated that Trichoderma spp. possess the capacity to stimulate biological processes in a variety of vegetable crops. This includes the induction of resistance mechanisms, promotion of root development, and enhancement of overall growth [ 12 ], [ 13 ], [ 14 ], [ 15 ]. In Cameroon, studies on Trichoderma spp. have shown satisfactory results in controlling soil pathogens ([ 16 ], [ 17 ], [ 18 ]. To contribute to food security and improve farmers' livelihoods, it’s interesting to assess the impact of Trichoderma spp. on aflatoxin production, pre-and post-harvest maize protection, and its potential to increase maize yields in Cameroon. The present study sought to assess the capacity for biological control in vitro and the plant growth-promoting (PGP) capabilities of four Trichoderma isolated from the soil of the Ntui cultivated department in the Center Region of Cameroon. Specifically, antagonist dual assays and the production of diffusible and volatile metabolites of Trichoderma isolates were conducted. The enzymes that are presumed to be involved in the antagonist activity of these fungi, including amylase, lignase, and protease, were also evaluated. The PGP activity was evaluated in vitro through the assessment of phosphate solubilization capacity, IAA, and siderophore production. In vivo assessment was conducted through the inoculation of a spore suspension of Trichoderma spp. on maize plants under greenhouse conditions. 2. Material and methods The experiment was conducted at the phytopathology laboratory of the Department of Crop Production and Technologies, Faculty of Agricultural Sciences and Technologies, Nigde Omer Halisdemir University (Nigde, Turkey) in 2024. 2.1. Sample collection The maize seed samples were obtained from a stock of maize from the first cropping season at a branch of the Agricultural Research Institute for Development (IRAD) in Cameroon which is the main research institute where many farmers obtain or buy their seed. The maize variety (CMS 8704) was selected for the study due to its prevalence among farmers in the Center Cameroun region. A total of 500 grams of seeds whit non visible cracks or deformation was taken for Aspergillus isolates. To obtain antagonistic isolates, the rhizosphere zone of apparently healthy and vigorous maize plants was sampled at a depth of 5 to 10 cm after removal of the surface layer in a maize field in the Ntui area, Mbam-ekim Department, Central Cameroon Region. All samples were taken under aseptic conditions and recovered in sterile bags to avoid any risk of contamination between soil and seed samples. 2.2. Isolation of Aspergillus Twenty (20) maize seeds were superficially disinfected with 70% alcohol for three minutes, and 2% sodium hypochlorite for two minutes, and were subsequently washed three times in sterile distilled water. The disinfected seeds were then dried on sterile paper towels, deposited on PDA medium, previously poured into Petri dishes, and supplemented with streptomycin (250 mg/L). Petri dishes were then incubated at 26 ± 2°C for four to seven days until the fungi appeared [ 19 ]. The young fungal colony based on their morphological characteristics was aseptically picked up and transferred to fresh sterile PDA plates to obtain pure culture. 2.3. Isolation of Trichoderma spp Trichoderma isolation was conducted on soil following the protocol. Ten (10) grams of soil sample were mixed with 90 ml of sterile distilled water in a conical flask, left for one hour in a shaker machine, and then a series of dilutions ranging from 10⁻¹ to 10⁻⁷ was carried out. A total of 0.1 ml of each dilution was subsequently distributed on the surface of the PDA medium supplemented with the streptomycin (250 mg/L), which had been previously poured into the petri dish and the plates were then incubated at 26 ± 2°C for 7 days [ 20 ]. Distinct colonies of Trichoderma spp. were picked and purified by culturing on PDA based on their morphological characteristics as described by Webster (1968) [ 21 ]. All Trichoderma spp. conidia were suspended in glycerol (15% v/v) and stored at − 80°C. 2.4. Molecular characterization of Aspergillus and Trichoderma isolates 2.4.1. DNA extraction The process begins with the cultivation of mycelial growth on a Potato Dextrose Broth (PDB) medium prepared according to the manufacturer’s instructions thus (Add 200 g/L potato infusion and 20 g/L dextrose to 1 L distilled water and boil until dissolved. Autoclave at 121°C for 15 minutes) and incubated in a shaker incubator for 15 days. Following this, the mycelium is washed three times with sterile distilled water, with centrifugation at 6000 rpm for 30 minutes each time. The mycelium is then crushed using liquid nitrogen, with 200 mg placed in 2 ml Eppendorf tube and stored at − 80°C. DNA extraction was carried out as follows, the fungal mycelia (200mg) were treated with 1 ml of lysis buffer (2% CTAB buffer) containing 1 mM Tris HCl, pH 8, 0.1 mM EDTA, 2% sodium dodecyl sulfate w/v, 5 M NaCl, and mixed well using a lysser cloth until the mixture is homogenized. The mixture was then incubated in a water bath at 65°C for 15 minutes. After incubation, the mixture was centrifuged at 14000 rpm at room temperature (RT) for 10 minutes. Subsequently, 700 µl of the supernatant was meticulously extracted and transferred to a fresh 1.5ml tube. An equal volume (700µl) of chloroform: isoamyl alcohol (24:1) was added and the emulsion was mixed well by carefully inverting the tubes from top to bottom. The tubes were centrifuged again at 14000 rpm under RT for 10 minutes. 550µl of the supernatant was removed and introduced into a new 1.5 ml tube, then an equal volume of chloroform: Isoamyl alcohol solution (550µl) was added and mixed well, then centrifuged again at 14000 rpm under RT for 10 minutes. A 450µl of the supernatant was transferred to new 2ml tubes then 225µl of 5M NaCl pH 8.0 (half of the supernatant collected) was added followed by the introduction of an equal volume of ice-cold isopropanol (450µl) the tubes were well homogenized and incubated at − 20°C for 1h or overnight for DNA precipitation. Centrifuge the tubes at 14000 rpm at 4°C for a further 20 minutes. Then carefully drain off the salt and iso-propanol without disturbing the pellet and add 500 µl of ice-cold 70% ethanol. The tubes should be centrifugated at 14000 rpm at 4°C for 10 minutes. The ethanol should be added with care, taking care not to dislodge the pellet. The tubes should then be incubated in an oven at 34°C for approximately one hour to allow for the removal of residual ethanol. The pellet should be resuspended by the addition of 50 µl of sterile ultrapure water (molecular biology grade) [ 22 ], [ 23 ]. The quantity of DNA present in the samples was ascertained through the utilization of a Quawell BioSpec Mini spectrophotometer. Absorbance A1 (260 nm), as well as the ratios A1/A2 (260/280 nm) and A1/A3 (260/230 nm), and DNA concentration, were determined to ascertain the success of the DNA extraction process and the purity of the samples produced. For the samples to be deemed "pure," the A1/A2 and A1/A3 ratios were required to be within the range of 1.8. 2.4.2. Amplification of the ITS region Molecular identification based on internal transcribed spacer (ITS) region of the ribosomal RNA gene and DNA-directed RNA polymerase II core subunit (RPB2) regions of Trichoderma isolates (Table 1 ). It was performed with polymerase chain reaction (PCR) using the 1 µl of extracted template DNA (20–30 ng/µl) in a 25 µl PCR mixture containing 12.5 µl of 2× Taq Master Mix, (Dream Taq Master Mix, Thermo Scientific™), 1 µl (10Mm) forward primer, 1 µl 10 Mm reverse primer (final primer concentration are 0.4 Mm). The polymerase chain reaction (PCR) conditions for the internal transcribed spacer (ITS) gene included an initial denaturation at 95°C for 5 minutes, followed by 35 cycles of denaturation at 95°C for 30 seconds, annealing at 55°C for 30 seconds, and extension at 72°C for one minute. The conditions for PCR amplification of the RPB2 gene included an initial denaturation at 95°C for three minutes, followed by 40 cycles of denaturation at 95°C for 15 seconds, annealing at 56°C for 15 seconds, and extension at 72°C for one minute. The amplification process was concluded with a final extension at 72°C for a period of five minutes [ 24 ], [ 25 ]. Identification of Aspergillus isolates to the species level was confirmed using only the sequence of the ITS gene. The amplified DNA was visualized in 1.2% agarose gels stained with ethidium bromide under ultraviolet light using the Gel Doc Biorad System (USA). The purified PCR products were subjected to sequencing. The sequenced data were then subjected to a comparison with the GenBank database, utilizing the BLAST tool, which is accessible via the NCBI platform. The phylogenetic analysis of isolate Trichoderma spp and Aspergillus spp were performed using MEGA 11 software. Finally, the cross-ponding species for each isolate was identified. Table 1 Primers used for amplification and sequencing Locus Definition Primer Set Sequence 5’-3’ Reference ITS Internal Transcribed Spacer ITS1 F TCCGTAGGTGAACCTGCGG White et al., 1990 ITS4 R TCCTCCGCTTATTGATATGC RPB2 DNA-directed RNA polymerase II core subunit fRPB2-5f GAYGAYMGWGATCAYTTYGG Liu et al. 1999 fRPB2-7cr CCCATRGCTTGTYYRCCCAT 2.5. In vitro antagonism tests The biocontrol potential of Trichoderma spp. isolates were assessed via three distinct inhibition tests: the first entailed a dual culture assay of the A. flavus isolate and each Trichoderma isolates on PDA dishes, the second a culture filtrate assay of Trichoderma isolates, and the third a volatile metabolite assay. The objective was to determine if the isolates could reduce Aspergillus growth. 2.5.1. Dual-Culture Antagonistic Activity This test was carried out in 90 mm diameter Petri dishes each containing 20 ml of PDA culture medium with streptomycin (250mg/L) added, which were inoculated 2 cm apart from the edge of the plate with a 6 mm-diameter mycelial plug from a fresh culture of Trichoderma isolates and on the opposite side, at 5 cm distance from the Trichoderma isolate inoculation point, with 6 mm-diameter mycelial plug from a fresh culture of Aspergillus . Dual-culture petri dishes as well as the control petri dishes containing only Aspergillus were incubated at 26° C ± 2 for 7 days. This test was carried out twice successively, with three (3) Petri dishes for each comparison [ 26 ]. The colony radial of Aspergillus on the control and test plates was measured, and the percentage of inhibition was calculated using the formula previously described by [ 27 ]. Percentage inhibition (%) = R1 − R2 R1 × 100, (1) R1 = radial growth of Aspergillus in control and R2 = radial growth of Aspergillus with treatment. 2.5.2. Effect of Non-Volatile Compounds Produced by the Antagonists on the Growth of Aspergillus The non-volatile compounds of our Trichoderma isolates were obtained by mixing in 250 ml Erlenmeyer conical flask 100ml of sterile PDB culture medium with a 1ml suspension containing 10 7 conidia of Trichoderma spores. The mixture was incubated in a shaker machine at 600 rpm for 15 days at 26°C. The centrifuged mixture was sterilized by passing through a 0.22 µm cellulose membrane. A 50 ml of this filtrate was mixed with 50 ml of PDA cooled to 60°C and poured into Petri dishes. The mycelial disc (6 mm) of Aspergillus was inoculated into the center of Petri dishes containing the mixture (PDA + culture filtrate) and incubated at 26 ± 2°C until the pathogen completely covered the control Petri dishes containing only the PDA culture medium [ 28 ]. The test was carried out twice successively, with three (3) plates for each comparison. Colony diameters of Aspergillus were measured and converted to the percentage of inhibition through the following formula: Percentage inhibition (%) = Dc – Dt/ Dc × 100, (2) Dc = mycelial growth of aspergillus on the control plate, and Dt = mycelial growth of Aspergillus on the test plate. 2.5.3. Effect of Volatile Compounds Produced by the Antagonists on the Growth of Aspergillus The production of volatile compounds and their inhibitory effects on the pathogen were demonstrated through the juxtaposition of two Petri dishes, each containing a PDA medium supplemented with streptomycin (250 mg/L). The bottom dish was inoculated at its center with a 6 mm disc of 7-day-old Trichoderma , while the cover dish was inoculated at its center with a 6 mm disc of the pathogen. The two dishes were hermetically sealed with parafilm and incubated at a temperature of 26 ± 2°C. To establish control, a bottom plate comprising the medium alone was placed below a bottom plate containing the pathogenic fungus. Radial mycelia growth measurements were taken at 7 days [ 29 ]. The percentage growth inhibition was using the following formula: Percentage inhibition (%) = Dc – Dt/ Dc × 100, (3) Dc = mycelial growth of Aspergillus on the control plate, and Dt = mycelial growth of Aspergillus on the test plate. Each treatment was performed in three (3) replicates. 2.6. Qualitative determination of enzymatic activity, amylase, protease, and ligase. A qualitative enzyme assay of Trichoderma isolates was conducted using a plate assay on solid media to assess the production of extracellular enzymes. The assay employed the formation of clear zones, changes in coloration, and their intensity around fungal colonies as markers of amylase, protease, ligase phosphate solubilization, and siderophore production. The independent experiments were performed for this screening step with three replicates for each strain. 2.6.1. Amylase production Amylase production by Trichoderma isolates was demonstrated on a nutrient agar medium supplemented with 2g soluble starch at pH 6.0. After incubation at 26 ± 2° C for 72 h, the dishes were treated with 5 ml of diluted Lugol solution (once) for 15 min. Amylase production was evaluated through the observation of a light yellow halo formation around each isolate colony [ 30 ]. 2.6.2. Lignase production Tannic acid medium (5.0 g tannic acid, 15.0 g malt extract agar, 20.0 g agar, and 1 L distilled water) was autoclaved at 121 ºC for 20 min and poured approximately 20 ml into each Petri dish. A 6 mm disc of Trichoderma mycelium from a 5-day-old was placed in the center of the dish and incubated in the dark at room temperature (26 ± 2ºC). The formation of a dark brown pigment around the inoculation point was used as an indicator of polyphenol oxidase (PPO) activity on the tannic acid medium. [ 31 ] 2.6.3. Protease production For protease screening [ 12 ], the Trichoderma isolates were cultivated on casein agar medium (comprising peptic digest of animal tissue 5.00 g, beef extract 1.50 g, yeast extract 1.50 g, sodium chloride 5.00 g, agar 15.00 g, casein 10.00 g, and distilled water to 1000ml). The medium was transferred to Petri dishes in a sterile manner and inoculated with an agar disc measuring 6 mm, cut from a 5-day-old fungal culture of each strain separately. The plates were then incubated at 26 ± 2°C in darkness for 3 to 5 days. Subsequently, the plates were flooded with bromocresol green dye. The clear zone around the colony indicates the proteolytic activity of microorganisms [ 32 ]. 2.7. The ability of Trichoderma isolate to solubilize phosphate The ability of the microbial isolates to solubilize phosphate was evaluated using a Pikovskaya Agar medium comprising 5 g Ca 3 (PO 4 ) 2 , 5 g MgCl 2 .6H 2 O, 0.25 g MgSO 4 .7H 2 O, 0.2 g KCl, 0.1 (NH 4 )2SO 4 , 14 g agar, and 10 g glucose per liter of distilled water. Agar plates were inoculated with a plug of trichoderma and incubated for five days at 26 ± 2°C with constant illumination. The formation of clear zones around the colonies provided evidence of phosphate solubilization ability [ 33 ]. 2.8. The ability of Trichoderma isolate to the production of siderophore The siderophore production detection test was carried out using the method described [ 34 ]. A 6 mm mycelial disc is inoculated into the previously prepared Blue Chromium Azurol S (CAS) Agar medium and subsequently incubated at 26°C for five days. The positive reaction is characterized by a change in coloration of the culture medium from blue to yellow [ 33 ]. 2.9. quantitative determination of the concentration of indole-3-acetic acid (IAA) The concentration of IAA was determined through spectrophotometric analysis. The efficiency of Trichoderma isolates in producing indole acetic acid (IAA) was evaluated using L-tryptophan as a precursor, by the methodology described by [ 35 ]. The assays were performed using a potato Dextrose Broth (PDB) solution, which was enriched with 0.5 g L-1 of L-tryptophan. The culture was incubated in a shaker with a rotation speed of 150 rpm at a temperature of 28°C. Following a seven-day incubation period, a qualitative estimation of production was conducted via colorimetric assay. The filtrates were subjected to centrifugation, and 2 mL of each resulting supernatant was subsequently added to 2 mL of Salkowski reagent (comprising 1 mL of ferric chloride at a concentration of 0.5 M). This was followed by the addition of 50 mL of perchloric acid (35%) to the mixture. The development of a pink or red color indicated the production of IAA. The absorbance was subsequently measured at 530 nm using a spectrophotometer [ 36 ]. To determine the concentration of IAA produced the standard curve was plot follows the protocol described by [ 37 ]: The range between the standard of IAA is -10 to 100 µg/ml. Different IAA concentrations are prepared as aqueous solutions of IAA, ranging from 10 µg/ml to 100 µg/ml. Add 2 ml of Salkowski reagent and 2 ml of each serial dilution to each test tube. Subsequently, the test tubes are to be homogenized and incubated for 30 minutes at room temperature. This allows the solution to turn pink or red, indicating the production of IAA. The standard IAA solution is then measured for absorbance using a spectrophotometer at a wavelength of 530 nm. A standard graph is made by plotting the concentration of IAA (in micrograms/ml) versus optical density at 530 nm. 2.10. Effect of Trichoderma spp. inoculation in seed germination Maize seeds were disinfected with 70% ethanol, 2% NaOCl, and sterile distilled water, then dried under a sterile air stream on autoclave blotting paper. The surface disinfected and dried seeds were divided into sterilized Petri dishes. The seeds were treated with 5ml of 10 7 spore suspension for four treatments (T) and three replicates of 10 seeds each: T1 - seeds inoculated with isolate CR-TS1; T2 - inoculation with isolate CR-TS3; T3 - inoculation with isolate CR-TC1; T4- inoculated with isolate CR-TS4 and T0 - control inoculate whit sterile water. The Petri dishes were put in an incubator at 26 ± 2°c [ 38 ]. The germination of seeds was observed after 48 hours of germination, and the percent germination of seeds was calculated. 2.11. Promotion of maize growth by Trichoderma isolates Five-liter pots containing autoclaved soil were placed in a greenhouse with a humidity of between 70 and 80% and a temperature ranging from 23 to 40 ºC, with a 12-hour photoperiod. Maize seeds were disinfected with a (2%) solution of bleach, washed three times with sterile distilled water, and then immersed in a suspension of conidia 10 7 conidia/mL for 24 hours so that they adhered to the seed surface. Maize seeds for the control pots were soaked in sterile distilled water. Three (3) seeds were sown per pot, for each treatment with Trichoderma . seven days after sowing, seedling emergence was noted and after three weeks under these conditions, measurements of the plant height, root length, chlorophyll rate, dry, and fresh roots length, and aerial part of the plant were obtained. The experiment was conducted with five replicates per treatment. Statistical analysis We used Bartlett's and Shapiro-Wilk's tests to check for homogeneity of variances and normality. We fitted the data to linear models and used ANOVA to identify significant differences between the treatments (Tukey's test, P < 0.05). We did the statistical analyses using R version 4.3.2 (2023-10-31 ucrt). 3. Results 3.1. Species Identification and Phylogenetic Analysis The fungi isolated in soil from the maize rhizosphere had pure circular cultures and filamentous margins. Colony growth was rapid, and by the third day, they had colonized the entire petri dish. Additionally, the emergence of greenish colonies was noted, with this phenomenon occurring 72 hours after initiating the process for isolates CR-TS1, CR-TS3, and CR-TC1, and 96 hours later for isolate CR-TS4 (Fig. 1 ). A full molecular identification was performed, and the amplified DNA fragment using ITS (1 and 4) and RPB2 primers resulted in a DNA fragment of around 600–650 pb for ITS and 800–825 for RPB2 in 1.2% agarose. A database search conducted using the BLAST program revealed that the sequence of the PCR product exhibited identity, query coverage, and a 0.0 E value, as detailed in Table 2 . In addition, the inferred phylogenetic tree indicated that the unknown sequence was clustered with different species sequences obtained from the GenBank database (Fig. 2 ). Table 2 Molecular identification of the four Trichoderma isolates CR-TS3, CR-TC1, CR-TS1, CR-TS4, and CR-MW based on Sanger sequencing of the two primers ITS, and Rpb2. Isolate code Gene region Fragment Size (bp) Organism % Query cover E. value % identity accession number CR-TS3 ITS 600–650 T. ghanense 97 0.0 99.3 RPB2 800–850 T. ghanense 94 0.0 95.63 CR-TC1 ITS 600–650 T. ghanense 97 0.0 99.3 RPB2 800–850 T. ghanense 81 0.0 88.80 CR-TS1 ITS 600–650 T.hazianum 100 0.0 98.66 RPB2 800–850 T.hazianum 86 0.0 99.88 CR-TS4 ITS 600–650 T. ghanense 97 0.0 99.50 RPB2 800–850 T. ghanense 94 0.0 95.63 CR-MW ITS 500–550 A. flavus 93 0.0 98.14 3.2. Antifungal activity of Trichoderma spp., against Aspergillus flavus in Dual culture Growth of the A. flavus isolate CR-MW was not significantly (P > 0.05) inhibited by all four Trichoderma isolates ( CR-TS1, CR-TC1 CR-TS3, and CR-TS4) in dual culture assay (Fig. 3 ). The findings demonstrate that the inhibition rates observed in all isolated specimens exceeded 75%. Inhibition was demonstrated to be a highly stable phenomenon, as evidenced by the observation that A . flavus remained inhibited for periods exceeding 30 days (Table 3 , Fig. 4 ). Some observations show that Trichoderma can grow above A. flavus and make spores. The color of the culture media also changes. 3.3. Effect of Volatile Compounds Produced by the Antagonists on the Growth of Aspergillus The inhibition of the A. flavus isolate CR-MW during a remote confrontation is evidence that our isolates produce volatile compounds. The inhibition rate was less than 50%. However, it was significantly different (P < 0.05) (Fig. 5 ). The highest inhibition rate of 40.94% was found in isolate CR-TS1, followed by CR-TC1 (34.36 ± 1.91) and CR-TS4 (32.19 ± 2.53). The lowest rate was found in the isolate CR-TS3 (29.48 ± 2.46). 3.4. Effect of Non-Volatile Compounds Produced by the Antagonists on the Growth of Aspergillus The results showed that, non-volatile compounds produced by Trichoderma spp. significantly different (P < 0.05) inhibited the growth of A. flavus isolate (Fig. 6 ). The inhibition value, expressed as mycelial growth inhibition, ranged from 78.1 ± 2.6% to 84.4 ± 4.1% (Table). The highest inhibition rates were recorded by antagonist isolates CR-TS1 (84.4 ± 4.01%) followed by CR-TS3 (81.4 ± 4.08%), CR-TTC1 (79.8 ± 2.6%), and the lowest rate was recorded by CR-TS4 (78.15 ± 2.6%). Table 3 Inhibition effect of Dual culture, volatile compounds, and non-volatile compounds of Trichoderma isolates against Aspergillus flavus. In instances where means are followed by the same letter in a given column, it can be inferred that the statistical difference between treatments is insignificant., as determined by Tukey’s test (P < 0.05). T . isolates % Dual culture inhibition % Non-volatile compound (NoVoc) % volatile compound (Voc) CR-TC1 75.88 ± 3.22 a 79.88 ± 2.69 ab 34.36 ± 1.91 a CR-TS1 78.83 ± 4.41 a 84.43 ± 4.01 a 40.94 ± 2.23 b CR-TS3 77.01 ± 6.10 a 81.48 ± 4.08 ab 29.48 ± 2.46 c CR-TS4 74.95 ± 5.77 a 78.15 ± 2.67 b 32.19 ± 2.53 ac 3.5. Qualitative determination of amylase, protease, lignase, phosphate solubilization, siderophore, and indol-3- acetic acid (IAA). Tests for the production of hydrolytic enzymes, phosphate solubilization, and siderophore production were conducted under the specifications of the respective medium. Upon completion of the aforementioned tests, it was determined that all Trichoderma isolates exhibited the capacity to produce amylase, ligninase, siderophores, and IAA. However, among these isolates, only CR-TS4 was found to lack the ability to produce protease and solubilize phosphate. The results presented in the table below were estimated based on the diameter of the halo zone or the change in coloration of the medium. (—) no change: isolates showing no enzyme activity or no halo zone, (+) diameter of media change or halo zone [1; 10] mm, (+ +) diameter of media change or halo zone] 10; 30] mm, (+ + +) diameter of media change or halo zone ]30; 70] mm, and (+ + + +) diameter of media change or halo zone more than 70 mm (Table 4 ). Table 4 Qualitative screening of Trichoderma isolates for active biomolecules Amylase Ligninase Protéase Phosphate Siderophore IAA(µg ml⁻¹ ) CR-TS1 + + + + + + + + + + + + + + + 11.22 ± 0.03 CR-TC1 + + + + + + + + + + + + + 11 ± 0.03 CR-TS3 + + + + + + + + + 9.48 ± 0.05 CR-TS4 + + + + + - - + + 10.22 ± 0.03 3.6. Quantitative production of IAA The present investigation revealed that all Trichoderma spp. were able to produce IAA (Table 4 ). While the quantity of IAA produced and determined from the standard curve (Fig. 7 ) exhibited considerable variation, the highest levels were observed in CR-TS1, with 11.22 ± 0.03 µg ml⁻¹ of IAA, followed by CR-TC1, CR-TS4, and CR-TS3, which produced 11 ± 0.03 µg ml⁻¹, 10.22 ± 0.03 µg ml⁻¹, and 9.48 ± 0.05 µg ml⁻¹ of IAA, respectively. 3.7. Stimulating Germination of Maize Seeds by Trichoderma Spp In the present investigation, seed germination was higher in treated seeds by Trichoderma spp as compared to control (Fig. 8 ). The Trichoderma conidial suspension showed a significant difference (p < 0.05) increase in seed germination compared with the uninoculated control (Table 5 ). As depicted in the table, T richoderma conidial suspensions germinated maize seeds at rates ranging from 90 to 100%. In the present investigation, seedling emergence was higher in treated seeds as compared to control. The treatments also resulted in enhanced germination of seed. The results of the study indicated that the Trichoderma isolates CR-TS1, CR-TS3, and CR-TC1 were most effective in increasing seed germination, with a 100% germination rate observed in 4 days. On the other hand, the isolate CR-TS4 treatment, despite a germination rate of 90%, is not significantly different from the control (80%). Table 5 Stimulating germination of maize seeds by Trichoderma spp. the same letter in a column means no significant difference between treatments, as determined by the Tukey’s test (p < 0.05) T. isolates Jour 2 (%) P < 0,05 Jour 3 (%) P < 0,05 Jour 4 (%) P < 0,05 CR-TS1 80 ± 1 b 100 ± 00 b 100 ± 00 b CR-TS3 76,6 ± 1,1 b 83,3 ± 0,5 b 100 ± 00 b CR-TC1 70 ± 1 b 86,6 ± 0,5 b 100 ± 00 b CR-TS4 66,6 ± 0,5 b 83,3 ± 0,5 b 90 ± 1 ab Contrôle 40 ± 1 a 63,3 ± 1,1 a 80 ± 1 a 3.8. Growth promotion test In this study, four Trichoderma isolates used in the test were able to improve plant growth throughout the greenhouse experiments. According to Table, the data obtained with seedling emergence of Trichoderma did not differ significantly (P > 0.05) from those verified with the control treatment based on the 5% Tukey test (Table 6 ). All the disinfected maize seeds sown in Trichoderma -treated showed a more than 85% increase in seedling emergence 8 days after sowing. Furthermore, an analysis of variance of means was carried out to compare the plant height, root length, fresh roots and shoot weight, dry roots, and shoot weight of control plants and plants treated with Trichoderma on day 21. The data results were significantly different (p < 0.05) for each parameter (Table 6 ). The results analysis showed that the best results for this test were achieved with Trichoderma CR-TS1 for which shoot height (73.6 ± 4.6 cm), roots length (19.4 ± 0.8 cm), shoot fresh weight (7.2 ± 0.5 g) and dry shoot weight1(3.18 ± 0.02 g), root fresh weight (3.4 ± 0.1 g) and dry root weight (0.58 ± 0.1 g). The control plants had the least growth. Table 6 Effect of Trichoderma spp on maize seedlings growth. control seedlings without Trichoderma; CR-TS1; CR-TS3; CR-TS4 CR-TC1: maize seedlings treated with Trichoderma spp. the mean ± standard deviation values followed by the same letters indicate that the groups in question do not differ from each other according to the Fisher's test (p < 0.05). T. isolates Seedling emergence % Plant height (cm) Roots length (cm) Fresh Shoot (g) Dry Shoot (g) Fresh Root (g) Dry Root (g) CR-TS1 91.6 ± 16.6 a 73.6 ±4.6 b 19.4 ± 0.8 b 7.2 ± 0.5 b 3.18 ± 0.02 b 3.4 ± 0.1 b 0.58 ± 0.01 b CR-TS4 74.9 ± 31.9 a 66.3 ±5.0 ab 18.5 ± 0.9 b 6.6 ± 0.45 bc 2.83 ± 0.11 ac 3.1 ± 0.1 b 0.44 ± 0.02 b CR-TS3 83.3 ± 19.2 a 58.3 ± 2.5 ab 18.7 ± 0.5 b 5.23 ± 0.58 ac 3.01 ± 0.11 bc 3.2 ± 0.1 b 0.56 ± 0.03 b CR-TC1 91.6 ± 16.6 a 68.3 ± 1.2 ab 18.4 ± 0.5 b 6.72 ± 1.14 bc 3.17 ± 0.07 b 3.2 ± 0.1 b 0.57 ± 0.01 b CONTROL 91.6 ± 16.6 a 53.0 ± 6.1 a 14.7 ± 0.4 a 4.75 ± 0.38 a 1.92 ± 0.07 a 1.7 ± 0.04 a 0.16 ± 0.01 a The findings demonstrate that the utilization of a Trichoderma spore suspension significantly enhanced the growth of maize seedlings under greenhouse conditions. 4. Discussion In the present study, the rhizospheric soil of maize enabled the isolation of four Trichoderma isolates, designated CR-TS1, CR-TS3, CR-TS4, and CR-TC1. The isolates were identified macroscopically (colony color, colony growth, and texture) and molecularly (using ITS 1/4 and RPB2 sequences). The isolate CR-TS1 was identified as T. hazianum , the isolates CR-TS3, CR-TS4, and CR-TC1 were T. ghanense. Additionally, Aspergillus isolate from maize seed was identified as Aspergillus flavus . The four Trichoderma isolates demonstrated the capacity to inhibit the growth of Aspergillus flavus isolate CR-MW in vitro, utilizing the three methods employed for this purpose (Dual-culture, the preparation of the culture medium using extracts of non-volatile Trichoderma sp. compounds, followed by the inoculation of the pathogen onto this medium, and remote confrontation). The current in vitro study has elucidated the multifaceted activities of Trichoderma isolates, which exhibit ancestral attributes and are therefore valuable for managing phytopathogens. These attributes include mycoparasitism, competition for space and soil nutrients, antibiosis through the production of both volatile and non-volatile antifungal compounds and cell membrane-degrading enzymes [ 39 ], and [ 40 ]. In these tests, it was observed the Trichoderma isolates grew faster than A. flavus , and in certain Petri dishes, they grew above A. flavus colonies while producing spores in the dual culture test. Due to their rapid growth and reproduction, Trichoderma isolate seized nutrients present in the culture medium while occupying space and consuming oxygen and air. Also, this process involves Trichoderma utilizing the pathogen's mycelium as a source of nutrients. This mechanism is a common feature of several species of Trichoderma , which are known to combat plant pathogens. Its efficacy has been demonstrated by [ 41 ], [ 42 ], and [ 43 ]. This would have weakened the pathogen and caused its inhibition during dual-culture. Furthermore, [ 44 ], and [ 45 ] demonstrated that multiple Trichoderma isolates produce secondary antimicrobial metabolites, including Trichomycin , gelatimycin, chlorotricomycin, pantaibol, flavonoids, phenolic compounds, and antibiotics. These metabolites have the potential to be associated with cell membrane degradation enzymes, facilitating the inhibition of pathogen growth. the various compounds produced by Trichoderma could be responsible for inhibiting the pathogen when it is inoculated into the culture medium containing Trichoderma isolates extract and even during the dual culture. Similar outcomes were observed by [ 15 ], [ 46 ] [ 26 ] in their investigation using different Trichoderma , which showed that Trichoderma has a high inhibition power against Aspergillus sp. At the end, the results highlight the potential of the four Trichoderma isolates have demonstrated effectiveness in the role of biocontrol agent against A . flavus . The hydrolytic enzyme secretion test (amylase, protease, lignase) showed that the four Trichoderma isolates were able to produce hydrolytic enzymes at different levels. The secretion of hydrolytic enzymes by beneficial microorganisms is very important as it makes it easier to colonize plant rhizosphere, for the degradation of organic matter, enabling them to express their symbiotic effect and indirect biological control mechanisms by stimulating the host's immune response, providing not only the plant but also the beneficial microorganisms receive the nutrients essential for their growth and development. They also participate in the process of biocontrol by facilitating the degradation of the cell wall of the pathogen and inactivating the enzymes secreted by the pathogen to damage the plant. [ 47 ], [ 48 ], [ 49 ]. This result is similar to that obtained by [ 50 ] who reported that amylase production enables Trichoderma to proliferate at a faster rate than phytopathogens in PDA, which may be a contributing factor to its superior growth. The positive phosphate solubilization test, production of siderophore, and IAA provide evidence that the Trichoderma isolates can improve plant growth promotion. A significant portion of soil phosphate is not immediately accessible to plants. The capacity of microorganisms, such as Trichoderma , to solubilize phosphate has garnered considerable attention, particularly in the context of the quest for environmentally-friendly agriculture [ 51 ]. Phosphate is widely regarded as a pivotal element in agricultural production, with a multitude of essential functions and a profound impact on plant growth. Its role in nodule formation, cell division, organization, and the development of flowers and fruits has been well documented [ 52 ]. Three potential mechanisms by which Trichoderma could facilitate the conversion of phosphate into a soluble form were proposed. (i) acidification, (ii) production of chelating metabolites, and (iii) redox activity and concluded that chelation was the most likely mechanism for Phosphate solubilisation by Trichoderma [ 53 ]. Microorganisms such as Trichoderma secrete organic acids that dissolve phosphate minerals or directly chelate cations from the phosphate ion, thus releasing phosphate [ 54 ]. Production of siderophore by Trichoderma exerts a pivotal influence on the process of biological control., as the trapped iron leads to the inactivation of the pathogen's enzymes by the formation of cofactors which supply it to the tall plant, thereby promoting its growth [ 55 ]. It has been reported that the synthesis of indole-3-acetic acid (IAA) by Trichoderma isolates is typically contingent upon the availability of its precursor, L-tryptophan. Additionally, the production of IAA is influenced by abiotic factors, such as temperature and pH [ 56 , 57 ]. The use of microbial agents to control plant diseases has been the subject of scientific investigation for a considerable period, with numerous research studies attesting to the ability of fungal-derived indole-3-acetic acid (IAA) to facilitate plant growth and development through direct physiological or biochemical mechanisms. This finding is supported by the research presented in reference [ 58 ]. In the same way, fungi are able to secrete plant growth-promoting substances, such as indole-3-acetic acid (IAA), which, in turn, induce systemic resistance mechanisms. in plants to suppress phytopathogenic strains, and disease development and to prevent pathogen attack [ 59 ]. [ 56 ] has demonstrated that low concentrations of IAA stimulate root elongation, whereas high concentrations of IAA are responsible for the proper morphogenesis of lateral and adventitious roots. Similarly, the phosphate solubilization of both siderophore and indole-3-acetic acid (IAA), was observed in the research conducted by [ 60 ], [ 61 ], and [ 55 ], which employed a distinct species of Trichoderma . The application of a suspension comprising 10 7 spores/ml Trichoderma isolates conidia to maize seeds yielded statistically significant (p < 0.05) results, with a notable augmentation of germination rates observed in the treated Petri dishes compared to the control Petri dishes. The current findings align with those previously published by [ 62 ] who reported the greatest effect on the 1 × 10 7 spores / mL treatment of maize seeds with Trichoderma spp, [ 63 ] observed that tomato seeds treated with T . harzianum (T22) exhibited enhanced germination rates compared to untreated tomato seeds. Moreover, the results of our study 21 days after inoculation with Trichoderma isolates in a pot showed enhanced growth (P < 0.05) seedling emergence, plant height, root lengths, fresh shoot and roots, dry shoot and roots, and chlorophyll matter under greenhouse conditions compared with control. The results suggest that the four Trichoderma isolates have the potential for successful seed treatment applications and the capacity to establish beneficial interactions with plant roots. This could contribute to enhanced plant growth and protection against pathogens in agricultural ecosystems. Indeed, various species of Trichoderma have been demonstrated to possess the potential for formulating biostimulants and biofertilizers, as evidenced by studies conducted by [ 58 ] [ 64 ] [ 14 ]. These findings are consistent with previous studies [ 65 ] demonstrated that the inoculation of a commercial Trichoderma sp. to the cultivation of Pisum sativum L. (Fabaceae) led to a notable enhancement in its growth and development. This was observed to impact a range of physiological variables, including germination, leaf area, root dry weight, root fresh weight, root dry weight, leaf fresh weight, and root length, which collectively contributed to an increase in the yield of the crop when the same treatment was applied to the seed, [ 66 ] observed that, in contrast to the growth of the control plants, the treatment of the plants with T . asperellum TC01 increased various growth characteristics. These included shoot height, stem diameter, shoot, and root fresh weights, as well as shoot and root dry weights. The aforementioned observations were made 45 days after inoculation under greenhouse conditions. [ 67 ] demonstrated that inoculation with T . viride GT-8, T. reesei GT-31, and T . longibrachiatum GT-32 Trichoderma markedly enhanced growth parameters by over 45% relative to seedlings that did not receive inoculation. These results corroborate the hypothesis previously put forward by [ 68 ], which postulated that inoculation of plants with Trichoderma leads to the manifestation of growth-promoting characteristics, including the synthesis of indole-3-acetic acid (IAA), which stimulates root growth and enhances water and nutrient absorption. Furthermore, the solubilization of phosphate and the production of siderophores in the soil are also facilitated by Trichoderma . In addition to these direct effects, it can be hypothesized that this fungus possesses other abilities to indirectly promote plant growth. 5. Conclusion The utilization of Trichoderma isolates as a biological agent for the control of plant pathogens and the enhancement of soil fertility can potentially replace or reduce the use of agrochemicals, thereby decreasing the negative ecological impact. As part of the study, the tested isolates of Trichoderma were found to inhibit the growth of Aspergillus spp. using a variety of mechanisms involved in biological control and the properties of PGPs, including diffusible and volatile metabolite production, enzyme secretion (hydrolytic), siderophore production, IAA synthesis, and phosphate solubilization. The findings of the in vitro and in vivo tests presented herewith demonstrated that the Trichoderma isolates under investigation are effective microorganisms for use in maize cultivation as a sustainable solution for inhibiting the growth of aflatoxin-producing fungi and improving performance. Nevertheless, further research is necessary to ascertain the fundamental interaction mechanisms involved in growth promotion and the biological control of aflatoxigenic agents. For this case, it is crucial to conduct fieldwork experiments to ascertain the efficacy of these isolates in controlling aflatoxigenic fungi, stimulating plant growth, and increasing agricultural yields. The findings of these studies will provide invaluable insight into the practical implementation and efficacy of biological inputs derived from our Trichoderma isolates, offering a sustainable and environmentally conscious approach to agricultural management. Declarations FUNDING STATEMENT We would like to express our gratitude to the Turkiye buslari Scholarship Program for accepting our project and enabling us to carry out our research in Niğde Ömer Halisdemir Üniversitesi. ACKNOWLEDGMENT We want to thank all the personnel and students of the Phytopathology Laboratory of the Department of Plant Production and Technologies, Faculty of Agriculture, Niğde Ömer Halisdemir Üniversitesi for her assistance. Author contributions MENYE was responsible for the initial drafting of the research project, sampling, laboratory work, and analyses, as well as the subsequent drafting of the manuscript. Sinem and Nida contributed to the drafting of the protocol and provided supervision concerning laboratory handling. BEGOUDE and BOYOMO were administered, and the projects were conceptualized. Cigdem provided essential reagents, supervised laboratory manipulations, and offered invaluable feedback on the manuscript. All authors have read and approved the final manuscript. CONFLICT OF INTERESTS The authors certify that they have no conflicts of interest. References P. Dutta et al. , ‘Advances in Nanotechnology as a Potential Alternative for Plant Viral Disease Management’, Front. Microbiol. , vol. 13, p. 935193, Jun. 2022, doi: 10.3389/fmicb.2022.935193 . L. T. Mbah, E. L. Molua, E. Bomdzele, and B. M. J. 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Control , vol. 51, no. 3, pp. 409–416, Dec. 2009, doi: 10.1016/j.biocontrol.2009.07.018 . A. N. Bader, G. L. Salerno, F. Covacevich, and V. F. Consolo, ‘Native Trichoderma harzianum strains from Argentina produce indole-3 acetic acid and phosphorus solubilization, promote growth and control wilt disease on tomato ( Solanum lycopersicum L.)’, J. King Saud Univ. - Sci. , vol. 32, no. 1, pp. 867–873, Jan. 2020, doi: 10.1016/j.jksus.2019.04.002 . et al. , ‘The Beneficial Effect of Trichoderma spp. in Seed Treatment of Four Maize ( Zea mays L.) Genotypes’, Am. J. Plant Sci. , vol. 14, no. 06, pp. 625–637, 2023, doi: 10.4236/ajps.2023.146042. F. Mastouri, T. Björkman, and G. Harman, ‘Seed Treatment with Trichoderma harzianum Alleviates Biotic, Abiotic, and Physiological Stresses in Germinating Seeds and Seedlings’, Phytopathology , vol. 100, pp. 1213–21, Nov. 2010, doi: 10.1094/PHYTO-03-10-0091 . A. P. S. Couto, A. E. Pereira, J. Abati, M. L. C. Fontanela, C. R. Dias-Arieira, and N. G. Krohn, ‘SEED TREATMENT WITH TRICHODERMA AND CHEMICALS TO IMPROVE PHYSIOLOGICAL AND SANITARY QUALITY OF WHEAT CULTIVARS1’, Rev. Caatinga , vol. 34, no. 4, pp. 813–823, Dec. 2021, doi: 10.1590/1983-21252021v34n408rc . D. Camargo-Cepeda and E. Ávila, ‘Efectos del Trichoderma sp. sobre el crecimiento y desarrollo de la arveja (Pisum sativum L.)’, Cienc. Agric. , vol. 11, p. 91, Jan. 2014, doi: 10.19053/01228420.3492 . J. Shang, B. Liu, and Z. Xu, ‘Efficacy of Trichoderma asperellum TC01 against anthracnose and growth promotion of Camellia sinensis seedlings’, Biol. Control , vol. 143, p. 104205, Apr. 2020, doi: 10.1016/j.biocontrol.2020.104205 . R. M. S. Galeano et al. , ‘New strains of Trichoderma with potential for biocontrol and plant growth promotion improve early soybean growth and development’, Aug. 17, 2023. doi: 10.21203/rs.3.rs-3231807/v1 . A. Syed, A. Elgorban, A. Bahkali, R. Eswaramoorthy, R. Iqbal, and S. Danish, ‘Metal-tolerant and siderophore producing Pseudomonas fluorescence and Trichoderma spp. improved the growth, biochemical features and yield attributes of chickpea by lowering Cd uptake’, Sci. Rep. , vol. 13, Mar. 2023, doi: 10.1038/s41598-023-31330-3 . Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5091298","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":361544399,"identity":"ee7331ea-837b-4e86-a01e-2c066c2c8da2","order_by":0,"name":"EDMOND NOEL MENYE ABOUNA","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2UlEQVRIiWNgGAWjYHACAyBmBuHGB0CSh48ELYzNIBYPGyla2iRAXIJadNubt274uMM6j5+9sa3ya46dDBsD88NHN/BoMTtzrOzmzDPpxZI9B9tuy25LBjqMzdg4B5+WGzlmt3nbDiduuJHYdltyGzNQCw+bNF4t999Atdx/2FYsua2eCC03eGC2MLYxftx2mAgtZ9KAfmlLT5zZk9gszbjtOA8bMyG/HD+87cbHNuvEfvbDBz/+3FZtz8/e/PAxPi0ogJkHTBKrHAQYf5CiehSMglEwCkYMAACt4Uy0xT0VyQAAAABJRU5ErkJggg==","orcid":"","institution":"University of Yaoundé I","correspondingAuthor":true,"prefix":"","firstName":"EDMOND","middleName":"NOEL MENYE","lastName":"ABOUNA","suffix":""},{"id":361544400,"identity":"eb6b7411-2b9d-4568-b4c2-7b90a3a47d21","order_by":1,"name":"Keziban Sinem TULUKOĞLU KUNT","email":"","orcid":"","institution":"Niğde Ömer Halisdemir University","correspondingAuthor":false,"prefix":"","firstName":"Keziban","middleName":"Sinem TULUKOĞLU","lastName":"KUNT","suffix":""},{"id":361544401,"identity":"f7c08845-fb4e-43db-9363-b856b9ae7d41","order_by":2,"name":"Nida UYSAL unlu","email":"","orcid":"","institution":"Niğde Ömer Halisdemir University","correspondingAuthor":false,"prefix":"","firstName":"Nida","middleName":"UYSAL","lastName":"unlu","suffix":""},{"id":361544402,"identity":"8b2ffa90-cad9-4a40-a31d-13eeca0f3a1e","order_by":3,"name":"Didier BEGOUDE","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Didier","middleName":"","lastName":"BEGOUDE","suffix":""},{"id":361544403,"identity":"86cd61bb-70d1-44eb-859b-b373303f9472","order_by":4,"name":"boyomo Onana","email":"","orcid":"","institution":"Niğde Ömer Halisdemir University","correspondingAuthor":false,"prefix":"","firstName":"boyomo","middleName":"","lastName":"Onana","suffix":""},{"id":361544404,"identity":"127357c9-6220-4443-bdd4-21e9f2fb20f6","order_by":5,"name":"Cigdem ULUBAS SERCE","email":"","orcid":"","institution":"University of Yaoundé I","correspondingAuthor":false,"prefix":"","firstName":"Cigdem","middleName":"ULUBAS","lastName":"SERCE","suffix":""}],"badges":[],"createdAt":"2024-09-15 05:23:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5091298/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5091298/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":65826998,"identity":"6aa4291d-d04c-45a9-a611-0a5e47a07449","added_by":"auto","created_at":"2024-10-03 08:50:21","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":558192,"visible":true,"origin":"","legend":"\u003cp\u003eThe morphology of the pure fungal colony on a potato dextrose agar (PDA) plate, cultivated via point inoculation, is presented herewith (Top view of the culture plate).\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/5e46abadeb301031195a8b1d.png"},{"id":65825241,"identity":"b55b3953-9974-4eae-a339-b843bfa7d837","added_by":"auto","created_at":"2024-10-03 08:26:21","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":215949,"visible":true,"origin":"","legend":"\u003cp\u003eThe resulting tree illustrates the phylogenetic relationship between the unknown sequence and the selected sequences from the GenBank database, 1000 bootstrap replications were used. (A: ITS phylogenetic, B: RPB2 phylogenetic)\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/8b148eb685f6f4410213d017.png"},{"id":65825468,"identity":"8990836b-1120-4cf5-8373-29657e387106","added_by":"auto","created_at":"2024-10-03 08:34:21","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":57533,"visible":true,"origin":"","legend":"\u003cp\u003ePercentage of\u003cem\u003e Aspergillus flavus \u003c/em\u003egrowth inhibition by Dual culture of\u003cem\u003e Trichoderma \u003c/em\u003eisolates\u003cem\u003e. \u003c/em\u003eStandard error is represented with bars. The letter above the bars with the same letter indicates no statistically significant difference between treatments, as determined by the Tukey’s test (p \u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/176d572c3474f4d22fde3fdc.png"},{"id":65827905,"identity":"80376329-55ea-4ec8-a6fe-b535b93aae0b","added_by":"auto","created_at":"2024-10-03 08:58:21","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":395892,"visible":true,"origin":"","legend":"\u003cp\u003ePhotographs of PDA plates with\u003cem\u003e Trichoderma\u003c/em\u003eisolates (CR-TC1, CR-TS1, CR-TS4, and CR-TS3) and\u003cem\u003e Aspergillus flavus \u003c/em\u003e(CR-MW)\u003cem\u003e \u003c/em\u003eafter 30 days of the assay started. The interaction type, as defined by Whipps (1987), is represented by the following values: 1 = \u003cem\u003eTrichoderma\u003c/em\u003e overgrowing \u003cem\u003eA\u003c/em\u003e. \u003cem\u003eflavus\u003c/em\u003e and \u003cem\u003eA\u003c/em\u003e. \u003cem\u003eflavus\u003c/em\u003e ceased to grow; 1/2 = \u003cem\u003eTrichoderma\u003c/em\u003e overgrowing \u003cem\u003eA\u003c/em\u003e. \u003cem\u003eflavus\u003c/em\u003e, but \u003cem\u003eA\u003c/em\u003e. \u003cem\u003eflavus\u003c/em\u003e continued to grow; 2/1 = \u003cem\u003eA\u003c/em\u003e. \u003cem\u003eflavus\u003c/em\u003e overgrew \u003cem\u003eTrichoderma\u003c/em\u003e, but \u003cem\u003eTrichoderma\u003c/em\u003econtinued to grow. The growth of \u003cem\u003eTrichoderma\u003c/em\u003eis observed, yet \u003cem\u003eTrichoderma\u003c/em\u003econtinues to expand. In scenario 2, A. \u003cem\u003eflavus\u003c/em\u003eovergrows \u003cem\u003eTrichoderma\u003c/em\u003e, leading to the cessation of \u003cem\u003eTrichoderma\u003c/em\u003e growth. In scenario 3, there is a slight mutual inhibition, indicated by an inhibition zone measuring ≤ 2 mm in width. In scenario 4, strong mutual inhibition is evident, with an inhibition zone measuring ≤ 4 mm in width.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/4335b64d6cb2a677d00ef252.png"},{"id":65826631,"identity":"70b60583-82d1-43e5-b0a5-8d15b9ba1576","added_by":"auto","created_at":"2024-10-03 08:42:21","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":38772,"visible":true,"origin":"","legend":"\u003cp\u003ePercentage of \u003cem\u003eAspergillus flavus\u003c/em\u003e growth inhibition by volatile metabolites produced by\u003cem\u003e Trichoderma \u003c/em\u003eisolates. The standard error is represented with bars. The letter above the bars with the same letter indicates no statistically significant difference between treatments, as determined by Tukey’s test (p \u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/4e5a7e663c3f156cf6690b2f.png"},{"id":65826628,"identity":"d752c64a-419a-490b-aed2-981e859324e7","added_by":"auto","created_at":"2024-10-03 08:42:21","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":48572,"visible":true,"origin":"","legend":"\u003cp\u003eThe inhibitory effect of non-volatile metabolites produced by \u003cem\u003eTrichoderma\u003c/em\u003eisolates on \u003cem\u003eAspergillus\u003c/em\u003e \u003cem\u003eflavus\u003c/em\u003e growth in percentage terms.\u003cem\u003e \u003c/em\u003eThe standard error is represented with bars. The letter above the bars with the same letter indicates no statistically significant difference between treatments, as determined by Tukey’s test (p \u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/3de6999a44244e49939a0d05.png"},{"id":65825244,"identity":"1fc5ca62-c6c3-43ef-8116-7009a4898f2e","added_by":"auto","created_at":"2024-10-03 08:26:21","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":42499,"visible":true,"origin":"","legend":"\u003cp\u003estandard curve of IAA\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/fd54670ad55c39124ce0307b.png"},{"id":65825249,"identity":"586531df-1571-4cd9-921b-cfbf5b01a0ce","added_by":"auto","created_at":"2024-10-03 08:26:21","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":674881,"visible":true,"origin":"","legend":"\u003cp\u003eThe effect of \u003cem\u003eTrichoderma\u003c/em\u003e spp. on maize seed germination.\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/c5f776ea8b0617e24b47b870.png"},{"id":65825469,"identity":"31a961cd-b29d-4751-9d87-5affa3286174","added_by":"auto","created_at":"2024-10-03 08:34:21","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":576417,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of\u003cem\u003e Trichoderma \u003c/em\u003eisolate on the growth of maize seedlings growth\u003cem\u003e. control plants (plants without Trichoderma); \u003c/em\u003eCR-TS1; CR-TS3; CR-TS4; CR-TC1 inoculated/treated plants\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/1b185265f1f982ce344bc18a.png"},{"id":66638207,"identity":"f52cde19-f69e-471f-a214-c87efba2ec4a","added_by":"auto","created_at":"2024-10-15 05:56:02","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":4890509,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5091298/v1/43639dff-0cb4-4f57-ba25-0afb00af553c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Biocontrol efficacy of Trichoderma isolates in controlling aflatoxinogen fungi (Aspergillus flavus) and growth promoting of maize in Cameroun","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eFood security is a fundamental human right, and as the global population is expected to reach nearly 10\u0026nbsp;billion by 2050, it is the paramount concern of all countries to increase their agricultural production [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Maize is the most widely eaten staple food in sub-Saharan Africa (SSA) [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. In Cameroon, maize is the most widely consumed cereal, far ahead of sorghum, rice, and wheat. But it\u0026rsquo;s not just a staple crop that\u0026rsquo;s eaten in the form of fermented, dry dough. It\u0026rsquo;s also often roasted, used as maize porridge, and used for lots of other things. Furthermore, it\u0026rsquo;s a major source of raw materials for many local and sub-regional agro-industries (breweries, animal feed production). Maize is a key ingredient in animal feed, making up 65% of the inputs used to make poultry feed. Consequently, cultivation of maize represents a highly strategic undertaking in Cameroon, with implications for both food security and national sovereignty [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Cameroon produces over 2.1\u0026nbsp;million metric tons of maize, making it the 44th largest producer in the world and the 13th largest in Africa. However, this production is still insufficient to meet the country's ever-increasing demand, and it is therefore importing large quantities of maize and maize products [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eFungus species belong to the \u003cem\u003eAspergillus\u003c/em\u003e genus are, responsible for producing the toxic metabolite aflatoxin. This metabolite is known to induce cancer and alterations to the digestive tract, kidneys, blood, and nerves in humans and animals [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Furthermore, it\u0026rsquo;s the cause of significant deterioration in the quality and quantity of maize, resulting in substantial economic losses [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. The prevalence of aflatoxin contamination and associated infections is exacerbated under conditions of plant stress, such as those caused by high temperatures and drought. Consequently, the anticipated effects of climate change and global temperature increases are expected to enhance the likelihood of aflatoxin occurrence in temperate regions in the coming years. In this context, the management of aflatoxigenic fungi at both the pre- and post-harvest stages represents a crucial element of a comprehensive strategy aimed at reducing the risk of aflatoxin contamination at the consumer level [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. To address this issue, a number of alternative approaches have been developed, one of which is the use of chemical inputs. However, the overuse of chemical fertilizers, despite their high nutrient content and ability to facilitate faster crop growth, has been found to be detrimental to human health and the environment. Furthermore, these fertilizers have been identified as a significant source of groundwater and atmospheric pollution [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. However, ecologically sustainable agriculture, based on good agricultural practices and the use of beneficial micro-organisms as bio-fertilizers, can offer integral solutions to achieving a high-quality, sustainable food system. Naturally, around 80% of higher plants including maize are associated with fungi and bacteria contained in bio-stimulant preparations that promote growth, increase yield, influence the biodiversity of plant species, contribute to fight against pathogens and pests, improve plant nutrition in polluted environments, stabilize soil aggregates by releasing numerous substances and have properties to ensure post-harvest protection. This has a positive ecological and economic impact, with a broad spectrum of action ensuring the stability of the natural environment [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. It is therefore considered that the biological management of plant diseases with different bacterial and fungal biocontrol agents represents a safer option. The fungus species \u003cem\u003eTrichoderma\u003c/em\u003e (Hypocreales) are employed globally as a highly profitable agent for the biological control of plant diseases. The molecular-level interactions of \u003cem\u003eTrichoderma\u003c/em\u003e spp. with host plants and pathogens are crucial for comprehending the diverse mechanisms by which the fungus establishes a symbiotic relationship with its plant host through its superior antifungal and antimicrobial activity. When working in synchrony, mycoparasitism, antibiosis, competition, and the induction of systemic acquired resistance (SAR)-like response are considered key factors in deciding the biocontrol potential of \u003cem\u003eTrichoderma\u003c/em\u003e [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Moreover, \u003cem\u003eTrichoderma\u003c/em\u003e spp. have been demonstrated to enhance plant growth through a range of mechanisms, including the solubilization of insoluble phosphate, the production of siderophores, and the synthesis of plant hormones such as indole acetic acid [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. It has been demonstrated that \u003cem\u003eTrichoderma\u003c/em\u003e spp. possess the capacity to stimulate biological processes in a variety of vegetable crops. This includes the induction of resistance mechanisms, promotion of root development, and enhancement of overall growth [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e], [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn Cameroon, studies on \u003cem\u003eTrichoderma\u003c/em\u003e spp. have shown satisfactory results in controlling soil pathogens ([\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e], [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e], [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. To contribute to food security and improve farmers' livelihoods, it\u0026rsquo;s interesting to assess the impact of \u003cem\u003eTrichoderma\u003c/em\u003e spp. on aflatoxin production, pre-and post-harvest maize protection, and its potential to increase maize yields in Cameroon. The present study sought to assess the capacity for biological control in vitro and the plant growth-promoting (PGP) capabilities of four \u003cem\u003eTrichoderma\u003c/em\u003e isolated from the soil of the Ntui cultivated department in the Center Region of Cameroon. Specifically, antagonist dual assays and the production of diffusible and volatile metabolites of \u003cem\u003eTrichoderma\u003c/em\u003e isolates were conducted. The enzymes that are presumed to be involved in the antagonist activity of these fungi, including amylase, lignase, and protease, were also evaluated. The PGP activity was evaluated in vitro through the assessment of phosphate solubilization capacity, IAA, and siderophore production. In vivo assessment was conducted through the inoculation of a spore suspension of \u003cem\u003eTrichoderma\u003c/em\u003e spp. on maize plants under greenhouse conditions.\u003c/p\u003e"},{"header":"2. Material and methods","content":"\u003cp\u003eThe experiment was conducted at the phytopathology laboratory of the Department of Crop Production and Technologies, Faculty of Agricultural Sciences and Technologies, Nigde Omer Halisdemir University (Nigde, Turkey) in 2024.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Sample collection\u003c/h2\u003e \u003cp\u003eThe maize seed samples were obtained from a stock of maize from the first cropping season at a branch of the Agricultural Research Institute for Development (IRAD) in Cameroon which is the main research institute where many farmers obtain or buy their seed. The maize variety (CMS 8704) was selected for the study due to its prevalence among farmers in the Center Cameroun region. A total of 500 grams of seeds whit non visible cracks or deformation was taken for \u003cem\u003eAspergillus\u003c/em\u003e isolates. To obtain antagonistic isolates, the rhizosphere zone of apparently healthy and vigorous maize plants was sampled at a depth of 5 to 10 cm after removal of the surface layer in a maize field in the Ntui area, Mbam-ekim Department, Central Cameroon Region. All samples were taken under aseptic conditions and recovered in sterile bags to avoid any risk of contamination between soil and seed samples.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. Isolation of \u003cem\u003eAspergillus\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eTwenty (20) maize seeds were superficially disinfected with 70% alcohol for three minutes, and 2% sodium hypochlorite for two minutes, and were subsequently washed three times in sterile distilled water. The disinfected seeds were then dried on sterile paper towels, deposited on PDA medium, previously poured into Petri dishes, and supplemented with streptomycin (250 mg/L). Petri dishes were then incubated at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C for four to seven days until the fungi appeared [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. The young fungal colony based on their morphological characteristics was aseptically picked up and transferred to fresh sterile PDA plates to obtain pure culture.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3. Isolation of \u003cem\u003eTrichoderma\u003c/em\u003e spp\u003c/h2\u003e \u003cp\u003e \u003cem\u003eTrichoderma\u003c/em\u003e isolation was conducted on soil following the protocol. Ten (10) grams of soil sample were mixed with 90 ml of sterile distilled water in a conical flask, left for one hour in a shaker machine, and then a series of dilutions ranging from 10⁻\u0026sup1; to 10⁻⁷ was carried out. A total of 0.1 ml of each dilution was subsequently distributed on the surface of the PDA medium supplemented with the streptomycin (250 mg/L), which had been previously poured into the petri dish and the plates were then incubated at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C for 7 days [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Distinct colonies of \u003cem\u003eTrichoderma\u003c/em\u003e spp. were picked and purified by culturing on PDA based on their morphological characteristics as described by Webster (1968) [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. All \u003cem\u003eTrichoderma\u003c/em\u003e spp. conidia were suspended in glycerol (15% v/v) and stored at \u0026minus;\u0026thinsp;80\u0026deg;C.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4. Molecular characterization of \u003cem\u003eAspergillus\u003c/em\u003e and \u003cem\u003eTrichoderma\u003c/em\u003e isolates\u003c/h2\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003e2.4.1. DNA extraction\u003c/h2\u003e \u003cp\u003eThe process begins with the cultivation of mycelial growth on a Potato Dextrose Broth (PDB) medium prepared according to the manufacturer\u0026rsquo;s instructions thus (Add 200 g/L potato infusion and 20 g/L dextrose to 1 L distilled water and boil until dissolved. Autoclave at 121\u0026deg;C for 15 minutes) and incubated in a shaker incubator for 15 days. Following this, the mycelium is washed three times with sterile distilled water, with centrifugation at 6000 rpm for 30 minutes each time. The mycelium is then crushed using liquid nitrogen, with 200 mg placed in 2 ml Eppendorf tube and stored at \u0026minus;\u0026thinsp;80\u0026deg;C. DNA extraction was carried out as follows, the fungal mycelia (200mg) were treated with 1 ml of lysis buffer (2% CTAB buffer) containing 1 mM Tris HCl, pH 8, 0.1 mM EDTA, 2% sodium dodecyl sulfate w/v, 5 M NaCl, and mixed well using a lysser cloth until the mixture is homogenized. The mixture was then incubated in a water bath at 65\u0026deg;C for 15 minutes. After incubation, the mixture was centrifuged at 14000 rpm at room temperature (RT) for 10 minutes. Subsequently, 700 \u0026micro;l of the supernatant was meticulously extracted and transferred to a fresh 1.5ml tube. An equal volume (700\u0026micro;l) of chloroform: isoamyl alcohol (24:1) was added and the emulsion was mixed well by carefully inverting the tubes from top to bottom. The tubes were centrifuged again at 14000 rpm under RT for 10 minutes. 550\u0026micro;l of the supernatant was removed and introduced into a new 1.5 ml tube, then an equal volume of chloroform: Isoamyl alcohol solution (550\u0026micro;l) was added and mixed well, then centrifuged again at 14000 rpm under RT for 10 minutes. A 450\u0026micro;l of the supernatant was transferred to new 2ml tubes then 225\u0026micro;l of 5M NaCl pH 8.0 (half of the supernatant collected) was added followed by the introduction of an equal volume of ice-cold isopropanol (450\u0026micro;l) the tubes were well homogenized and incubated at \u0026minus;\u0026thinsp;20\u0026deg;C for 1h or overnight for DNA precipitation. Centrifuge the tubes at 14000 rpm at 4\u0026deg;C for a further 20 minutes. Then carefully drain off the salt and iso-propanol without disturbing the pellet and add 500 \u0026micro;l of ice-cold 70% ethanol. The tubes should be centrifugated at 14000 rpm at 4\u0026deg;C for 10 minutes. The ethanol should be added with care, taking care not to dislodge the pellet. The tubes should then be incubated in an oven at 34\u0026deg;C for approximately one hour to allow for the removal of residual ethanol. The pellet should be resuspended by the addition of 50 \u0026micro;l of sterile ultrapure water (molecular biology grade) [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e], [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The quantity of DNA present in the samples was ascertained through the utilization of a Quawell BioSpec Mini spectrophotometer. Absorbance A1 (260 nm), as well as the ratios A1/A2 (260/280 nm) and A1/A3 (260/230 nm), and DNA concentration, were determined to ascertain the success of the DNA extraction process and the purity of the samples produced. For the samples to be deemed \"pure,\" the A1/A2 and A1/A3 ratios were required to be within the range of 1.8.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003e2.4.2. Amplification of the ITS region\u003c/h2\u003e \u003cp\u003eMolecular identification based on internal transcribed spacer (ITS) region of the ribosomal RNA gene and DNA-directed RNA polymerase II core subunit (RPB2) regions of \u003cem\u003eTrichoderma\u003c/em\u003e isolates (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). It was performed with polymerase chain reaction (PCR) using the 1 \u0026micro;l of extracted template DNA (20\u0026ndash;30 ng/\u0026micro;l) in a 25 \u0026micro;l PCR mixture containing 12.5 \u0026micro;l of 2\u0026times; Taq Master Mix, (Dream Taq Master Mix, Thermo Scientific\u0026trade;), 1 \u0026micro;l (10Mm) forward primer, 1 \u0026micro;l 10 Mm reverse primer (final primer concentration are 0.4 Mm). The polymerase chain reaction (PCR) conditions for the internal transcribed spacer (ITS) gene included an initial denaturation at 95\u0026deg;C for 5 minutes, followed by 35 cycles of denaturation at 95\u0026deg;C for 30 seconds, annealing at 55\u0026deg;C for 30 seconds, and extension at 72\u0026deg;C for one minute. The conditions for PCR amplification of the RPB2 gene included an initial denaturation at 95\u0026deg;C for three minutes, followed by 40 cycles of denaturation at 95\u0026deg;C for 15 seconds, annealing at 56\u0026deg;C for 15 seconds, and extension at 72\u0026deg;C for one minute. The amplification process was concluded with a final extension at 72\u0026deg;C for a period of five minutes [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e], [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIdentification of \u003cem\u003eAspergillus\u003c/em\u003e isolates to the species level was confirmed using only the sequence of the ITS gene. The amplified DNA was visualized in 1.2% agarose gels stained with ethidium bromide under ultraviolet light using the Gel Doc Biorad System (USA). The purified PCR products were subjected to sequencing. The sequenced data were then subjected to a comparison with the GenBank database, utilizing the BLAST tool, which is accessible via the NCBI platform. The phylogenetic analysis of isolate \u003cem\u003eTrichoderma\u003c/em\u003e spp and \u003cem\u003eAspergillus\u003c/em\u003e spp were performed using MEGA 11 software. Finally, the cross-ponding species for each isolate was identified.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePrimers used for amplification and sequencing\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLocus\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDefinition\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePrimer Set\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSequence 5\u0026rsquo;-3\u0026rsquo;\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eITS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eInternal Transcribed Spacer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eITS1 F\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eTCCGTAGGTGAACCTGCGG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eWhite et al., 1990\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eITS4 R\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eTCCTCCGCTTATTGATATGC\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eRPB2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDNA-directed RNA polymerase II core subunit\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003efRPB2-5f\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGAYGAYMGWGATCAYTTYGG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eLiu et al. 1999\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003efRPB2-7cr\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCCCATRGCTTGTYYRCCCAT\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e2.5. In vitro antagonism tests\u003c/h2\u003e \u003cp\u003eThe biocontrol potential of \u003cem\u003eTrichoderma\u003c/em\u003e spp. isolates were assessed via three distinct inhibition tests: the first entailed a dual culture assay of the \u003cem\u003eA. flavus\u003c/em\u003e isolate and each \u003cem\u003eTrichoderma\u003c/em\u003e isolates on PDA dishes, the second a culture filtrate assay of \u003cem\u003eTrichoderma\u003c/em\u003e isolates, and the third a volatile metabolite assay. The objective was to determine if the isolates could reduce \u003cem\u003eAspergillus\u003c/em\u003e growth.\u003c/p\u003e \u003cdiv id=\"Sec10\" class=\"Section3\"\u003e \u003ch2\u003e2.5.1. Dual-Culture Antagonistic Activity\u003c/h2\u003e \u003cp\u003eThis test was carried out in 90 mm diameter Petri dishes each containing 20 ml of PDA culture medium with streptomycin (250mg/L) added, which were inoculated 2 cm apart from the edge of the plate with a 6 mm-diameter mycelial plug from a fresh culture of \u003cem\u003eTrichoderma\u003c/em\u003e isolates and on the opposite side, at 5 cm distance from the \u003cem\u003eTrichoderma\u003c/em\u003e isolate inoculation point, with 6 mm-diameter mycelial plug from a fresh culture \u003cem\u003eof Aspergillus\u003c/em\u003e. Dual-culture petri dishes as well as the control petri dishes containing only \u003cem\u003eAspergillus\u003c/em\u003e were incubated at 26\u0026deg; C\u0026thinsp;\u0026plusmn;\u0026thinsp;2 for 7 days. This test was carried out twice successively, with three (3) Petri dishes for each comparison [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. The colony radial of \u003cem\u003eAspergillus\u003c/em\u003e on the control and test plates was measured, and the percentage of inhibition was calculated using the formula previously described by [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Percentage inhibition (%)\u0026thinsp;=\u0026thinsp;R1\u0026thinsp;\u0026minus;\u0026thinsp;R2 R1 \u0026times; 100, (1)\u003c/p\u003e \u003cp\u003eR1\u0026thinsp;=\u0026thinsp;radial growth of \u003cem\u003eAspergillus\u003c/em\u003e in control and R2\u0026thinsp;=\u0026thinsp;radial growth of \u003cem\u003eAspergillus\u003c/em\u003e with treatment.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section3\"\u003e \u003ch2\u003e2.5.2. Effect of Non-Volatile Compounds Produced by the Antagonists on the Growth of \u003cem\u003eAspergillus\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eThe non-volatile compounds of our \u003cem\u003eTrichoderma\u003c/em\u003e isolates were obtained by mixing in 250 ml Erlenmeyer conical flask 100ml of sterile PDB culture medium with a 1ml suspension containing 10\u003csup\u003e7\u003c/sup\u003e conidia of \u003cem\u003eTrichoderma\u003c/em\u003e spores. The mixture was incubated in a shaker machine at 600 rpm for 15 days at 26\u0026deg;C. The centrifuged mixture was sterilized by passing through a 0.22 \u0026micro;m cellulose membrane. A 50 ml of this filtrate was mixed with 50 ml of PDA cooled to 60\u0026deg;C and poured into Petri dishes. The mycelial disc (6 mm) of \u003cem\u003eAspergillus\u003c/em\u003e was inoculated into the center of Petri dishes containing the mixture (PDA\u0026thinsp;+\u0026thinsp;culture filtrate) and incubated at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C until the pathogen completely covered the control Petri dishes containing only the PDA culture medium [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. The test was carried out twice successively, with three (3) plates for each comparison.\u003c/p\u003e \u003cp\u003eColony diameters of \u003cem\u003eAspergillus\u003c/em\u003e were measured and converted to the percentage of inhibition through the following formula: Percentage inhibition (%)\u0026thinsp;=\u0026thinsp;Dc \u0026ndash; Dt/ Dc \u0026times; 100, (2)\u003c/p\u003e \u003cp\u003eDc\u0026thinsp;=\u0026thinsp;mycelial growth of aspergillus on the control plate, and Dt\u0026thinsp;=\u0026thinsp;mycelial growth of \u003cem\u003eAspergillus\u003c/em\u003e on the test plate.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section3\"\u003e \u003ch2\u003e2.5.3. Effect of Volatile Compounds Produced by the Antagonists on the Growth of \u003cem\u003eAspergillus\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eThe production of volatile compounds and their inhibitory effects on the pathogen were demonstrated through the juxtaposition of two Petri dishes, each containing a PDA medium supplemented with streptomycin (250 mg/L). The bottom dish was inoculated at its center with a 6 mm disc of 7-day-old \u003cem\u003eTrichoderma\u003c/em\u003e, while the cover dish was inoculated at its center with a 6 mm disc of the pathogen. The two dishes were hermetically sealed with parafilm and incubated at a temperature of 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C. To establish control, a bottom plate comprising the medium alone was placed below a bottom plate containing the pathogenic fungus. Radial mycelia growth measurements were taken at 7 days [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. The percentage growth inhibition was using the following formula: Percentage inhibition (%)\u0026thinsp;=\u0026thinsp;Dc \u0026ndash; Dt/ Dc \u0026times; 100, (3)\u003c/p\u003e \u003cp\u003eDc\u0026thinsp;=\u0026thinsp;mycelial growth of \u003cem\u003eAspergillus\u003c/em\u003e on the control plate, and Dt\u0026thinsp;=\u0026thinsp;mycelial growth of \u003cem\u003eAspergillus\u003c/em\u003e on the test plate. Each treatment was performed in three (3) replicates.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e2.6. Qualitative determination of enzymatic activity, amylase, protease, and ligase.\u003c/h2\u003e \u003cp\u003eA qualitative enzyme assay of \u003cem\u003eTrichoderma\u003c/em\u003e isolates was conducted using a plate assay on solid media to assess the production of extracellular enzymes. The assay employed the formation of clear zones, changes in coloration, and their intensity around fungal colonies as markers of amylase, protease, ligase phosphate solubilization, and siderophore production. The independent experiments were performed for this screening step with three replicates for each strain.\u003c/p\u003e \u003cdiv id=\"Sec14\" class=\"Section3\"\u003e \u003ch2\u003e2.6.1. Amylase production\u003c/h2\u003e \u003cp\u003eAmylase production by \u003cem\u003eTrichoderma\u003c/em\u003e isolates was demonstrated on a nutrient agar medium supplemented with 2g soluble starch at pH 6.0. After incubation at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg; C for 72 h, the dishes were treated with 5 ml of diluted Lugol solution (once) for 15 min. Amylase production was evaluated through the observation of a light yellow halo formation around each isolate colony [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section3\"\u003e \u003ch2\u003e2.6.2. Lignase production\u003c/h2\u003e \u003cp\u003eTannic acid medium (5.0 g tannic acid, 15.0 g malt extract agar, 20.0 g agar, and 1 L distilled water) was autoclaved at 121 \u0026ordm;C for 20 min and poured approximately 20 ml into each Petri dish. A 6 mm disc of \u003cem\u003eTrichoderma\u003c/em\u003e mycelium from a 5-day-old was placed in the center of the dish and incubated in the dark at room temperature (26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026ordm;C). The formation of a dark brown pigment around the inoculation point was used as an indicator of polyphenol oxidase (PPO) activity on the tannic acid medium. [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section3\"\u003e \u003ch2\u003e2.6.3. Protease production\u003c/h2\u003e \u003cp\u003eFor protease screening [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], the \u003cem\u003eTrichoderma\u003c/em\u003e isolates were cultivated on casein agar medium (comprising peptic digest of animal tissue 5.00 g, beef extract 1.50 g, yeast extract 1.50 g, sodium chloride 5.00 g, agar 15.00 g, casein 10.00 g, and distilled water to 1000ml). The medium was transferred to Petri dishes in a sterile manner and inoculated with an agar disc measuring 6 mm, cut from a 5-day-old fungal culture of each strain separately. The plates were then incubated at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C in darkness for 3 to 5 days. Subsequently, the plates were flooded with bromocresol green dye. The clear zone around the colony indicates the proteolytic activity of microorganisms [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e2.7. The ability of \u003cem\u003eTrichoderma\u003c/em\u003e isolate to solubilize phosphate\u003c/h2\u003e \u003cp\u003eThe ability of the microbial isolates to solubilize phosphate was evaluated using a Pikovskaya Agar medium comprising 5 g Ca\u003csub\u003e3\u003c/sub\u003e(PO\u003csub\u003e4\u003c/sub\u003e)\u003csup\u003e2\u003c/sup\u003e, 5 g MgCl\u003csub\u003e2\u003c/sub\u003e.6H\u003csub\u003e2\u003c/sub\u003eO, 0.25 g MgSO\u003csub\u003e4\u003c/sub\u003e.7H\u003csub\u003e2\u003c/sub\u003eO, 0.2 g KCl, 0.1 (NH\u003csub\u003e4\u003c/sub\u003e)2SO\u003csub\u003e4\u003c/sub\u003e, 14 g agar, and 10 g glucose per liter of distilled water. Agar plates were inoculated with a plug of trichoderma and incubated for five days at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C with constant illumination. The formation of clear zones around the colonies provided evidence of phosphate solubilization ability [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003e2.8. The ability of \u003cem\u003eTrichoderma\u003c/em\u003e isolate to the production of siderophore\u003c/h2\u003e \u003cp\u003eThe siderophore production detection test was carried out using the method described [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. A 6 mm mycelial disc is inoculated into the previously prepared Blue Chromium Azurol S (CAS) Agar medium and subsequently incubated at 26\u0026deg;C for five days. The positive reaction is characterized by a change in coloration of the culture medium from blue to yellow [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e2.9. quantitative determination of the concentration of indole-3-acetic acid (IAA)\u003c/h2\u003e \u003cp\u003eThe concentration of IAA was determined through spectrophotometric analysis. The efficiency of \u003cem\u003eTrichoderma\u003c/em\u003e isolates in producing indole acetic acid (IAA) was evaluated using L-tryptophan as a precursor, by the methodology described by [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. The assays were performed using a potato Dextrose Broth (PDB) solution, which was enriched with 0.5 g L-1 of L-tryptophan. The culture was incubated in a shaker with a rotation speed of 150 rpm at a temperature of 28\u0026deg;C. Following a seven-day incubation period, a qualitative estimation of production was conducted via colorimetric assay. The filtrates were subjected to centrifugation, and 2 mL of each resulting supernatant was subsequently added to 2 mL of Salkowski reagent (comprising 1 mL of ferric chloride at a concentration of 0.5 M). This was followed by the addition of 50 mL of perchloric acid (35%) to the mixture. The development of a pink or red color indicated the production of IAA. The absorbance was subsequently measured at 530 nm using a spectrophotometer [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eTo determine the concentration of IAA produced the standard curve was plot follows the protocol described by [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]: The range between the standard of IAA is -10 to 100 \u0026micro;g/ml. Different IAA concentrations are prepared as aqueous solutions of IAA, ranging from 10 \u0026micro;g/ml to 100 \u0026micro;g/ml. Add 2 ml of Salkowski reagent and 2 ml of each serial dilution to each test tube. Subsequently, the test tubes are to be homogenized and incubated for 30 minutes at room temperature. This allows the solution to turn pink or red, indicating the production of IAA. The standard IAA solution is then measured for absorbance using a spectrophotometer at a wavelength of 530 nm. A standard graph is made by plotting the concentration of IAA (in micrograms/ml) versus optical density at 530 nm.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003e2.10. Effect of \u003cem\u003eTrichoderma\u003c/em\u003e spp. inoculation in seed germination\u003c/h2\u003e \u003cp\u003eMaize seeds were disinfected with 70% ethanol, 2% NaOCl, and sterile distilled water, then dried under a sterile air stream on autoclave blotting paper. The surface disinfected and dried seeds were divided into sterilized Petri dishes. The seeds were treated with 5ml of 10\u003csup\u003e7\u003c/sup\u003e spore suspension for four treatments (T) and three replicates of 10 seeds each: T1 - seeds inoculated with isolate CR-TS1; T2 - inoculation with isolate CR-TS3; T3 - inoculation with isolate CR-TC1; T4- inoculated with isolate CR-TS4 and T0 - control inoculate whit sterile water. The Petri dishes were put in an incubator at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;c [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. The germination of seeds was observed after 48 hours of germination, and the percent germination of seeds was calculated.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec21\" class=\"Section2\"\u003e \u003ch2\u003e2.11. Promotion of maize growth by \u003cem\u003eTrichoderma\u003c/em\u003e isolates\u003c/h2\u003e \u003cp\u003eFive-liter pots containing autoclaved soil were placed in a greenhouse with a humidity of between 70 and 80% and a temperature ranging from 23 to 40 \u0026ordm;C, with a 12-hour photoperiod. Maize seeds were disinfected with a (2%) solution of bleach, washed three times with sterile distilled water, and then immersed in a suspension of conidia 10\u003csup\u003e7\u003c/sup\u003e conidia/mL for 24 hours so that they adhered to the seed surface. Maize seeds for the control pots were soaked in sterile distilled water. Three (3) seeds were sown per pot, for each treatment with \u003cem\u003eTrichoderma\u003c/em\u003e. seven days after sowing, seedling emergence was noted and after three weeks under these conditions, measurements of the plant height, root length, chlorophyll rate, dry, and fresh roots length, and aerial part of the plant were obtained. The experiment was conducted with five replicates per treatment.\u003c/p\u003e \u003cp\u003e \u003cb\u003eStatistical analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eWe used Bartlett's and Shapiro-Wilk's tests to check for homogeneity of variances and normality. We fitted the data to linear models and used ANOVA to identify significant differences between the treatments (Tukey's test, P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). We did the statistical analyses using R version 4.3.2 (2023-10-31 ucrt).\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec23\" class=\"Section2\"\u003e\n \u003ch2\u003e3.1. Species Identification and Phylogenetic Analysis\u003c/h2\u003e\n \u003cp\u003eThe fungi isolated in soil from the maize rhizosphere had pure circular cultures and filamentous margins. Colony growth was rapid, and by the third day, they had colonized the entire petri dish. Additionally, the emergence of greenish colonies was noted, with this phenomenon occurring 72 hours after initiating the process for isolates CR-TS1, CR-TS3, and CR-TC1, and 96 hours later for isolate CR-TS4 (Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003eA full molecular identification was performed, and the amplified DNA fragment using ITS (1 and 4) and RPB2 primers resulted in a DNA fragment of around 600\u0026ndash;650 pb for ITS and 800\u0026ndash;825 for RPB2 in 1.2% agarose. A database search conducted using the BLAST program revealed that the sequence of the PCR product exhibited identity, query coverage, and a 0.0 E value, as detailed in Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e. In addition, the inferred phylogenetic tree indicated that the unknown sequence was clustered with different species sequences obtained from the GenBank database (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u0026nbsp;\u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eMolecular identification of the four \u003cem\u003eTrichoderma\u003c/em\u003e isolates CR-TS3, CR-TC1, CR-TS1, CR-TS4, and CR-MW based on Sanger sequencing of the two primers ITS, and Rpb2.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIsolate code\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGene region\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFragment Size (bp)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eOrganism\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e% Query cover\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eE. value\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e% identity\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eaccession number\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eCR-TS3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eITS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e600\u0026ndash;650\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. ghanense\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e99.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRPB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e800\u0026ndash;850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. ghanense\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e95.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eCR-TC1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eITS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e600\u0026ndash;650\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. ghanense\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e99.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRPB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e800\u0026ndash;850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. ghanense\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e88.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eCR-TS1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eITS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e600\u0026ndash;650\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT.hazianum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e98.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRPB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e800\u0026ndash;850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT.hazianum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e99.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eCR-TS4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eITS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e600\u0026ndash;650\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. ghanense\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e99.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRPB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e800\u0026ndash;850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. ghanense\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e95.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-MW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eITS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e500\u0026ndash;550\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eA. flavus\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e98.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec24\" class=\"Section2\"\u003e\n \u003ch2\u003e3.2. Antifungal activity of \u003cem\u003eTrichoderma\u003c/em\u003e spp., against \u003cem\u003eAspergillus flavus\u003c/em\u003e in Dual culture\u003c/h2\u003e\n \u003cp\u003eGrowth of the \u003cem\u003eA. flavus\u003c/em\u003e isolate CR-MW was not significantly (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05) inhibited by all four \u003cem\u003eTrichoderma\u003c/em\u003e isolates \u003cem\u003e(\u003c/em\u003eCR-TS1, CR-TC1 CR-TS3, and CR-TS4) in dual culture assay (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). The findings demonstrate that the inhibition rates observed in all isolated specimens exceeded 75%. Inhibition was demonstrated to be a highly stable phenomenon, as evidenced by the observation that \u003cem\u003eA\u003c/em\u003e. \u003cem\u003eflavus\u003c/em\u003e remained inhibited for periods exceeding 30 days (Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). Some observations show that \u003cem\u003eTrichoderma\u003c/em\u003e can grow above \u003cem\u003eA. flavus\u003c/em\u003e and make spores. The color of the culture media also changes.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec25\" class=\"Section2\"\u003e\n \u003ch2\u003e3.3. Effect of Volatile Compounds Produced by the Antagonists on the Growth of Aspergillus\u003c/h2\u003e\n \u003cp\u003eThe inhibition of the \u003cem\u003eA. flavus\u003c/em\u003e isolate CR-MW during a remote confrontation is evidence that our isolates produce volatile compounds. The inhibition rate was less than 50%. However, it was significantly different (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). The highest inhibition rate of 40.94% was found in isolate CR-TS1, followed by CR-TC1 (34.36\u0026thinsp;\u0026plusmn;\u0026thinsp;1.91) and CR-TS4 (32.19\u0026thinsp;\u0026plusmn;\u0026thinsp;2.53). The lowest rate was found in the isolate CR-TS3 (29.48\u0026thinsp;\u0026plusmn;\u0026thinsp;2.46).\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec26\" class=\"Section2\"\u003e\n \u003ch2\u003e3.4. Effect of Non-Volatile Compounds Produced by the Antagonists on the Growth of Aspergillus\u003c/h2\u003e\n \u003cp\u003eThe results showed that, non-volatile compounds produced by \u003cem\u003eTrichoderma\u003c/em\u003e spp. significantly different (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) inhibited the growth of \u003cem\u003eA. flavus\u003c/em\u003e isolate (Fig. \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). The inhibition value, expressed as mycelial growth inhibition, ranged from 78.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6% to 84.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1% (Table). The highest inhibition rates were recorded by antagonist isolates CR-TS1 (84.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.01%) followed by CR-TS3 (81.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.08%), CR-TTC1 (79.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6%), and the lowest rate was recorded by CR-TS4 (78.15\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6%).\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u0026nbsp;\u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eInhibition effect of Dual culture, volatile compounds, and non-volatile compounds of \u003cem\u003eTrichoderma isolates\u003c/em\u003e against \u003cem\u003eAspergillus flavus.\u003c/em\u003e In instances where means are followed by the same letter in a given column, it can be inferred that the statistical difference between treatments is insignificant., as determined by Tukey\u0026rsquo;s test (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT\u003c/em\u003e. isolates\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e% Dual culture inhibition\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e% Non-volatile compound (NoVoc)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e% volatile compound (Voc)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TC1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e75.88\u0026thinsp;\u0026plusmn;\u0026thinsp;3.22\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e79.88\u0026thinsp;\u0026plusmn;\u0026thinsp;2.69\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.36\u0026thinsp;\u0026plusmn;\u0026thinsp;1.91\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e78.83\u0026thinsp;\u0026plusmn;\u0026thinsp;4.41\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e84.43\u0026thinsp;\u0026plusmn;\u0026thinsp;4.01\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e40.94\u0026thinsp;\u0026plusmn;\u0026thinsp;2.23\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e77.01\u0026thinsp;\u0026plusmn;\u0026thinsp;6.10\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e81.48\u0026thinsp;\u0026plusmn;\u0026thinsp;4.08\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.48\u0026thinsp;\u0026plusmn;\u0026thinsp;2.46\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e74.95\u0026thinsp;\u0026plusmn;\u0026thinsp;5.77\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e78.15\u0026thinsp;\u0026plusmn;\u0026thinsp;2.67\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.19\u0026thinsp;\u0026plusmn;\u0026thinsp;2.53\u003csup\u003eac\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec27\" class=\"Section2\"\u003e\n \u003ch2\u003e3.5. Qualitative determination of amylase, protease, lignase, phosphate solubilization, siderophore, and indol-3- acetic acid (IAA).\u003c/h2\u003e\n \u003cp\u003eTests for the production of hydrolytic enzymes, phosphate solubilization, and siderophore production were conducted under the specifications of the respective medium. Upon completion of the aforementioned tests, it was determined that all \u003cem\u003eTrichoderma\u003c/em\u003e isolates exhibited the capacity to produce amylase, ligninase, siderophores, and IAA. However, among these isolates, only CR-TS4 was found to lack the ability to produce protease and solubilize phosphate. The results presented in the table below were estimated based on the diameter of the halo zone or the change in coloration of the medium.\u003c/p\u003e\n \u003cp\u003e(\u0026mdash;) no change: isolates showing no enzyme activity or no halo zone, (+) diameter of media change or halo zone [1; 10] mm, (+ +) diameter of media change or halo zone] 10; 30] mm, (+ + +) diameter of media change or halo zone ]30; 70] mm, and (+ + + +) diameter of media change or halo zone more than 70 mm (Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\u0026nbsp;\u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eQualitative screening of \u003cem\u003eTrichoderma isolates\u003c/em\u003e for active biomolecules\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAmylase\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eLigninase\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eProt\u0026eacute;ase\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePhosphate\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSiderophore\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIAA(\u0026micro;g ml⁻\u0026sup1; )\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eCR-TS1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e11.22\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eCR-TC1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e11\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eCR-TS3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e9.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eCR-TS4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ + +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+ +\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.22\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec28\" class=\"Section2\"\u003e\n \u003ch2\u003e3.6. Quantitative production of IAA\u003c/h2\u003e\n \u003cp\u003eThe present investigation revealed that all \u003cem\u003eTrichoderma\u003c/em\u003e spp. were able to produce IAA (Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). While the quantity of IAA produced and determined from the standard curve (Fig. \u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e) exhibited considerable variation, the highest levels were observed in CR-TS1, with 11.22\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03 \u0026micro;g ml⁻\u0026sup1; of IAA, followed by CR-TC1, CR-TS4, and CR-TS3, which produced 11\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03 \u0026micro;g ml⁻\u0026sup1;, 10.22\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03 \u0026micro;g ml⁻\u0026sup1;, and 9.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05 \u0026micro;g ml⁻\u0026sup1; of IAA, respectively.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec29\" class=\"Section2\"\u003e\n \u003ch2\u003e3.7. Stimulating Germination of Maize Seeds by \u003cem\u003eTrichoderma\u003c/em\u003e Spp\u003c/h2\u003e\n \u003cp\u003eIn the present investigation, seed germination was higher in treated seeds by \u003cem\u003eTrichoderma\u003c/em\u003e spp as compared to control (Fig. \u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e). The \u003cem\u003eTrichoderma\u003c/em\u003e conidial suspension showed a significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) increase in seed germination compared with the uninoculated control (Table \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). As depicted in the table, \u003cem\u003eT\u003c/em\u003erichoderma conidial suspensions germinated maize seeds at rates ranging from 90 to 100%. In the present investigation, seedling emergence was higher in treated seeds as compared to control. The treatments also resulted in enhanced germination of seed. The results of the study indicated that the \u003cem\u003eTrichoderma\u003c/em\u003e isolates CR-TS1, CR-TS3, and CR-TC1 were most effective in increasing seed germination, with a 100% germination rate observed in 4 days. On the other hand, the isolate CR-TS4 treatment, despite a germination rate of 90%, is not significantly different from the control (80%).\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u0026nbsp;\u003ctable id=\"Tab5\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eStimulating germination of maize seeds by \u003cem\u003eTrichoderma spp. the\u003c/em\u003e same letter in a column means no significant difference between treatments, as determined by the Tukey\u0026rsquo;s test (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. isolates\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eJour 2 (%)\u003c/p\u003e\n \u003cp\u003eP\u0026thinsp;\u0026lt;\u0026thinsp;0,05\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eJour 3 (%)\u003c/p\u003e\n \u003cp\u003eP\u0026thinsp;\u0026lt;\u0026thinsp;0,05\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eJour 4 (%)\u003c/p\u003e\n \u003cp\u003eP\u0026thinsp;\u0026lt;\u0026thinsp;0,05\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e80\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u0026thinsp;\u0026plusmn;\u0026thinsp;00\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u0026thinsp;\u0026plusmn;\u0026thinsp;00\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e76,6\u0026thinsp;\u0026plusmn;\u0026thinsp;1,1\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e83,3\u0026thinsp;\u0026plusmn;\u0026thinsp;0,5\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u0026thinsp;\u0026plusmn;\u0026thinsp;00\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TC1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e86,6\u0026thinsp;\u0026plusmn;\u0026thinsp;0,5\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u0026thinsp;\u0026plusmn;\u0026thinsp;00\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e66,6\u0026thinsp;\u0026plusmn;\u0026thinsp;0,5\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e83,3\u0026thinsp;\u0026plusmn;\u0026thinsp;0,5\u003csup\u003e\u003cstrong\u003eb\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e90\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003csup\u003e\u003cstrong\u003eab\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eContr\u0026ocirc;le\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e40\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003csup\u003e\u003cstrong\u003ea\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63,3\u0026thinsp;\u0026plusmn;\u0026thinsp;1,1\u003csup\u003e\u003cstrong\u003ea\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e80\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003csup\u003e\u003cstrong\u003ea\u003c/strong\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec30\" class=\"Section2\"\u003e\n \u003ch2\u003e3.8. Growth promotion test\u003c/h2\u003e\n \u003cp\u003eIn this study, four \u003cem\u003eTrichoderma\u003c/em\u003e isolates used in the test were able to improve plant growth throughout the greenhouse experiments. According to Table, the data obtained with seedling emergence of \u003cem\u003eTrichoderma\u003c/em\u003e did not differ significantly (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05) from those verified with the control treatment based on the 5% Tukey test (Table \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). All the disinfected maize seeds sown in \u003cem\u003eTrichoderma\u003c/em\u003e-treated showed a more than 85% increase in seedling emergence 8 days after sowing. Furthermore, an analysis of variance of means was carried out to compare the plant height, root length, fresh roots and shoot weight, dry roots, and shoot weight of control plants and plants treated with \u003cem\u003eTrichoderma\u003c/em\u003e on day 21. The data results were significantly different (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) for each parameter (Table \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). The results analysis showed that the best results for this test were achieved with \u003cem\u003eTrichoderma\u003c/em\u003e CR-TS1 for which shoot height (73.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6 cm), roots length (19.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8 cm), shoot fresh weight (7.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5 g) and dry shoot weight1(3.18\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02 g), root fresh weight (3.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1 g) and dry root weight (0.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1 g). The control plants had the least growth.\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003ctable id=\"Tab6\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffect of \u003cem\u003eTrichoderma spp\u003c/em\u003e on maize seedlings growth. control seedlings without \u003cem\u003eTrichoderma;\u003c/em\u003e CR-TS1; CR-TS3; CR-TS4 CR-TC1: maize seedlings treated with \u003cem\u003eTrichoderma spp.\u003c/em\u003e the mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation values followed by the same letters indicate that the groups in question do not differ from each other according to the Fisher\u0026apos;s test (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT.\u003c/em\u003e isolates\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSeedling emergence %\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePlant height (cm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRoots length (cm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFresh Shoot (g)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eDry Shoot (g)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFresh Root (g)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eDry Root (g)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.6\u0026thinsp;\u0026plusmn;\u0026thinsp;16.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e73.6 \u0026plusmn;4.6\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.18\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e74.9\u0026thinsp;\u0026plusmn;\u0026thinsp;31.9\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e66.3 \u0026plusmn;5.0\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.45\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.83\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003csup\u003eac\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.44\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TS3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e83.3\u0026thinsp;\u0026plusmn;\u0026thinsp;19.2\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e58.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.58\u003csup\u003eac\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.56\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCR-TC1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.6\u0026thinsp;\u0026plusmn;\u0026thinsp;16.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e68.3 \u0026plusmn; 1.2\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.72\u0026thinsp;\u0026plusmn;\u0026thinsp;1.14\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.17\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCONTROL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.6\u0026thinsp;\u0026plusmn;\u0026thinsp;16.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e53.0 \u0026plusmn; 6.1\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.38\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.92\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.16\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003eThe findings demonstrate that the utilization of a \u003cem\u003eTrichoderma\u003c/em\u003e spore suspension significantly enhanced the growth of maize seedlings under greenhouse conditions.\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eIn the present study, the rhizospheric soil of maize enabled the isolation of four \u003cem\u003eTrichoderma\u003c/em\u003e isolates, designated CR-TS1, CR-TS3, CR-TS4, and CR-TC1. The isolates were identified macroscopically (colony color, colony growth, and texture) and molecularly (using ITS 1/4 and RPB2 sequences). The isolate CR-TS1 was identified as T. \u003cem\u003ehazianum\u003c/em\u003e, the isolates CR-TS3, CR-TS4, and CR-TC1 were \u003cem\u003eT. ghanense.\u003c/em\u003e Additionally, \u003cem\u003eAspergillus\u003c/em\u003e isolate from maize seed was identified as \u003cem\u003eAspergillus flavus\u003c/em\u003e. The four \u003cem\u003eTrichoderma\u003c/em\u003e isolates demonstrated the capacity to inhibit the growth of \u003cem\u003eAspergillus flavus\u003c/em\u003e isolate CR-MW in vitro, utilizing the three methods employed for this purpose (Dual-culture, the preparation of the culture medium using extracts of non-volatile \u003cem\u003eTrichoderma\u003c/em\u003e sp. compounds, followed by the inoculation of the pathogen onto this medium, and remote confrontation). The current in vitro study has elucidated the multifaceted activities of \u003cem\u003eTrichoderma\u003c/em\u003e isolates, which exhibit ancestral attributes and are therefore valuable for managing phytopathogens. These attributes include mycoparasitism, competition for space and soil nutrients, antibiosis through the production of both volatile and non-volatile antifungal compounds and cell membrane-degrading enzymes [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e], and [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn these tests, it was observed the \u003cem\u003eTrichoderma\u003c/em\u003e isolates grew faster than \u003cem\u003eA. flavus\u003c/em\u003e, and in certain Petri dishes, they grew above \u003cem\u003eA. flavus\u003c/em\u003e colonies while producing spores in the dual culture test. Due to their rapid growth and reproduction, \u003cem\u003eTrichoderma\u003c/em\u003e isolate seized nutrients present in the culture medium while occupying space and consuming oxygen and air. Also, this process involves \u003cem\u003eTrichoderma\u003c/em\u003e utilizing the pathogen's mycelium as a source of nutrients. This mechanism is a common feature of several species of \u003cem\u003eTrichoderma\u003c/em\u003e, which are known to combat plant pathogens. Its efficacy has been demonstrated by [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e], [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e], and [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. This would have weakened the pathogen and caused its inhibition during dual-culture.\u003c/p\u003e \u003cp\u003eFurthermore, [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e], and [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e] demonstrated that multiple \u003cem\u003eTrichoderma\u003c/em\u003e isolates produce secondary antimicrobial metabolites, including \u003cem\u003eTrichomycin\u003c/em\u003e, gelatimycin, chlorotricomycin, pantaibol, flavonoids, phenolic compounds, and antibiotics. These metabolites have the potential to be associated with cell membrane degradation enzymes, facilitating the inhibition of pathogen growth. the various compounds produced by \u003cem\u003eTrichoderma\u003c/em\u003e could be responsible for inhibiting the pathogen when it is inoculated into the culture medium containing \u003cem\u003eTrichoderma\u003c/em\u003e isolates extract and even during the dual culture. Similar outcomes were observed by [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e], [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e] [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e] in their investigation using different \u003cem\u003eTrichoderma\u003c/em\u003e, which showed that \u003cem\u003eTrichoderma\u003c/em\u003e has a high inhibition power against \u003cem\u003eAspergillus\u003c/em\u003e sp. At the end, the results highlight the potential of the four \u003cem\u003eTrichoderma\u003c/em\u003e isolates have demonstrated effectiveness in the role of biocontrol agent against \u003cem\u003eA\u003c/em\u003e. \u003cem\u003eflavus\u003c/em\u003e.\u003c/p\u003e \u003cp\u003eThe hydrolytic enzyme secretion test (amylase, protease, lignase) showed that the four \u003cem\u003eTrichoderma\u003c/em\u003e isolates were able to produce hydrolytic enzymes at different levels. The secretion of hydrolytic enzymes by beneficial microorganisms is very important as it makes it easier to colonize plant rhizosphere, for the degradation of organic matter, enabling them to express their symbiotic effect and indirect biological control mechanisms by stimulating the host's immune response, providing not only the plant but also the beneficial microorganisms receive the nutrients essential for their growth and development. They also participate in the process of biocontrol by facilitating the degradation of the cell wall of the pathogen and inactivating the enzymes secreted by the pathogen to damage the plant. [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e], [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e], [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. This result is similar to that obtained by [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e] who reported that amylase production enables \u003cem\u003eTrichoderma\u003c/em\u003e to proliferate at a faster rate than phytopathogens in PDA, which may be a contributing factor to its superior growth.\u003c/p\u003e \u003cp\u003eThe positive phosphate solubilization test, production of siderophore, and IAA provide evidence that the \u003cem\u003eTrichoderma\u003c/em\u003e isolates can improve plant growth promotion. A significant portion of soil phosphate is not immediately accessible to plants. The capacity of microorganisms, such as \u003cem\u003eTrichoderma\u003c/em\u003e, to solubilize phosphate has garnered considerable attention, particularly in the context of the quest for environmentally-friendly agriculture [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. Phosphate is widely regarded as a pivotal element in agricultural production, with a multitude of essential functions and a profound impact on plant growth. Its role in nodule formation, cell division, organization, and the development of flowers and fruits has been well documented [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. Three potential mechanisms by which \u003cem\u003eTrichoderma\u003c/em\u003e could facilitate the conversion of phosphate into a soluble form were proposed. (i) acidification, (ii) production of chelating metabolites, and (iii) redox activity and concluded that chelation was the most likely mechanism for Phosphate solubilisation by \u003cem\u003eTrichoderma\u003c/em\u003e [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. Microorganisms such as \u003cem\u003eTrichoderma\u003c/em\u003e secrete organic acids that dissolve phosphate minerals or directly chelate cations from the phosphate ion, thus releasing phosphate [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. Production of siderophore by \u003cem\u003eTrichoderma\u003c/em\u003e exerts a pivotal influence on the process of biological control., as the trapped iron leads to the inactivation of the pathogen's enzymes by the formation of cofactors which supply it to the tall plant, thereby promoting its growth [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. It has been reported that the synthesis of indole-3-acetic acid (IAA) by \u003cem\u003eTrichoderma\u003c/em\u003e isolates is typically contingent upon the availability of its precursor, L-tryptophan. Additionally, the production of IAA is influenced by abiotic factors, such as temperature and pH [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. The use of microbial agents to control plant diseases has been the subject of scientific investigation for a considerable period, with numerous research studies attesting to the ability of fungal-derived indole-3-acetic acid (IAA) to facilitate plant growth and development through direct physiological or biochemical mechanisms. This finding is supported by the research presented in reference [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. In the same way, fungi are able to secrete plant growth-promoting substances, such as indole-3-acetic acid (IAA), which, in turn, induce systemic resistance mechanisms. in plants to suppress phytopathogenic strains, and disease development and to prevent pathogen attack [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e]. [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e] has demonstrated that low concentrations of IAA stimulate root elongation, whereas high concentrations of IAA are responsible for the proper morphogenesis of lateral and adventitious roots. Similarly, the phosphate solubilization of both siderophore and indole-3-acetic acid (IAA), was observed in the research conducted by [\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e], [\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e], and [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e], which employed a distinct species of \u003cem\u003eTrichoderma\u003c/em\u003e.\u003c/p\u003e \u003cp\u003eThe application of a suspension comprising 10\u003csup\u003e7\u003c/sup\u003e spores/ml \u003cem\u003eTrichoderma\u003c/em\u003e isolates conidia to maize seeds yielded statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) results, with a notable augmentation of germination rates observed in the treated Petri dishes compared to the control Petri dishes. The current findings align with those previously published by [\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e] who reported the greatest effect on the 1 \u0026times; 10\u003csup\u003e7\u003c/sup\u003e spores / mL treatment of maize seeds with \u003cem\u003eTrichoderma\u003c/em\u003e spp, [\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e] observed that tomato seeds treated with \u003cem\u003eT\u003c/em\u003e. \u003cem\u003eharzianum\u003c/em\u003e (T22) exhibited enhanced germination rates compared to untreated tomato seeds. Moreover, the results of our study 21 days after inoculation with \u003cem\u003eTrichoderma\u003c/em\u003e isolates in a pot showed enhanced growth (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) seedling emergence, plant height, root lengths, fresh shoot and roots, dry shoot and roots, and chlorophyll matter under greenhouse conditions compared with control. The results suggest that the four \u003cem\u003eTrichoderma\u003c/em\u003e isolates have the potential for successful seed treatment applications and the capacity to establish beneficial interactions with plant roots. This could contribute to enhanced plant growth and protection against pathogens in agricultural ecosystems. Indeed, various species of \u003cem\u003eTrichoderma\u003c/em\u003e have been demonstrated to possess the potential for formulating biostimulants and biofertilizers, as evidenced by studies conducted by [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e] [\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e] [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThese findings are consistent with previous studies [\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e] demonstrated that the inoculation of a commercial \u003cem\u003eTrichoderma\u003c/em\u003e sp. to the cultivation of \u003cem\u003ePisum sativum\u003c/em\u003e L. (Fabaceae) led to a notable enhancement in its growth and development. This was observed to impact a range of physiological variables, including germination, leaf area, root dry weight, root fresh weight, root dry weight, leaf fresh weight, and root length, which collectively contributed to an increase in the yield of the crop when the same treatment was applied to the seed, [\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e] observed that, in contrast to the growth of the control plants, the treatment of the plants with \u003cem\u003eT\u003c/em\u003e. \u003cem\u003easperellum\u003c/em\u003e TC01 increased various growth characteristics. These included shoot height, stem diameter, shoot, and root fresh weights, as well as shoot and root dry weights. The aforementioned observations were made 45 days after inoculation under greenhouse conditions. [\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e] demonstrated that inoculation with \u003cem\u003eT\u003c/em\u003e. \u003cem\u003eviride\u003c/em\u003e GT-8, T. \u003cem\u003ereesei\u003c/em\u003e GT-31, and \u003cem\u003eT\u003c/em\u003e. \u003cem\u003elongibrachiatum\u003c/em\u003e GT-32 \u003cem\u003eTrichoderma\u003c/em\u003e markedly enhanced growth parameters by over 45% relative to seedlings that did not receive inoculation. These results corroborate the hypothesis previously put forward by [\u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e], which postulated that inoculation of plants with \u003cem\u003eTrichoderma\u003c/em\u003e leads to the manifestation of growth-promoting characteristics, including the synthesis of indole-3-acetic acid (IAA), which stimulates root growth and enhances water and nutrient absorption. Furthermore, the solubilization of phosphate and the production of siderophores in the soil are also facilitated by \u003cem\u003eTrichoderma\u003c/em\u003e. In addition to these direct effects, it can be hypothesized that this fungus possesses other abilities to indirectly promote plant growth.\u003c/p\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eThe utilization of \u003cem\u003eTrichoderma\u003c/em\u003e isolates as a biological agent for the control of plant pathogens and the enhancement of soil fertility can potentially replace or reduce the use of agrochemicals, thereby decreasing the negative ecological impact. As part of the study, the tested isolates of \u003cem\u003eTrichoderma\u003c/em\u003e were found to inhibit the growth of \u003cem\u003eAspergillus\u003c/em\u003e spp. using a variety of mechanisms involved in biological control and the properties of PGPs, including diffusible and volatile metabolite production, enzyme secretion (hydrolytic), siderophore production, IAA synthesis, and phosphate solubilization. The findings of the in vitro and in vivo tests presented herewith demonstrated that the \u003cem\u003eTrichoderma\u003c/em\u003e isolates under investigation are effective microorganisms for use in maize cultivation as a sustainable solution for inhibiting the growth of aflatoxin-producing fungi and improving performance. Nevertheless, further research is necessary to ascertain the fundamental interaction mechanisms involved in growth promotion and the biological control of aflatoxigenic agents. For this case, it is crucial to conduct fieldwork experiments to ascertain the efficacy of these isolates in controlling aflatoxigenic fungi, stimulating plant growth, and increasing agricultural yields. The findings of these studies will provide invaluable insight into the practical implementation and efficacy of biological inputs derived from our \u003cem\u003eTrichoderma\u003c/em\u003e isolates, offering a sustainable and environmentally conscious approach to agricultural management.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFUNDING STATEMENT\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe would like to express our gratitude to the Turkiye buslari Scholarship Program for accepting our project and enabling us to carry out our research in Niğde \u0026Ouml;mer Halisdemir \u0026Uuml;niversitesi.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eACKNOWLEDGMENT\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe want to thank all the personnel and students of the Phytopathology Laboratory of the Department of Plant Production and Technologies, Faculty of Agriculture, Niğde \u0026Ouml;mer Halisdemir \u0026Uuml;niversitesi for her assistance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;MENYE was responsible for the initial drafting of the research project, sampling, laboratory work, and analyses, as well as the subsequent drafting of the manuscript. Sinem and Nida contributed to the drafting of the protocol and provided supervision concerning laboratory handling. BEGOUDE and BOYOMO were administered, and the projects were conceptualized. Cigdem provided essential reagents, supervised laboratory manipulations, and offered invaluable feedback on the manuscript. All authors have read and approved the final manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCONFLICT OF INTERESTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors certify that they have no conflicts of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eP. Dutta \u003cem\u003eet al.\u003c/em\u003e, \u0026lsquo;Advances in Nanotechnology as a Potential Alternative for Plant Viral Disease Management\u0026rsquo;, \u003cem\u003eFront. 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Rep.\u003c/em\u003e, vol. 13, Mar. 2023, doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1038/s41598-023-31330-3\u003c/span\u003e\u003cspan address=\"10.1038/s41598-023-31330-3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"biological control, Trichoderma, Aspergillus, aflatoxinogen, growth promotion, maize, Cameroon","lastPublishedDoi":"10.21203/rs.3.rs-5091298/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5091298/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMaize is a significant cereal crop, serving as a dietary staple and an indispensable raw material for industrial use in Cameroon. Aflatoxinogen fungi (\u003cem\u003eAspergillus\u003c/em\u003e spp), an opportunistic plant microorganism, alter by mycotoxin the biochemical components in maize during processing and storage, causing post-harvest losses and compromising food safety. The use of \u003cem\u003eTrichoderma\u003c/em\u003e spp as a biological control agent against aflatoxigenic fungi and as a fertilizer has long been proven in agriculture by numerous researchers. This study aimed to isolate and characterize \u003cem\u003eTrichoderma\u003c/em\u003e spp from maize rhizosphere soil and assess its potential for biological control of \u003cem\u003eAspergillus\u003c/em\u003e spp isolated from maize seeds and for promoting the growth of maize. Isolation and sequencing showed that our isolates were \u003cem\u003eTrichoderma harzianum\u003c/em\u003e for CR-TS1 and \u003cem\u003eT. ghanense\u003c/em\u003e for CR-TS3, CR-TS4, and CR-TC1. When tested directly against \u003cem\u003eA. flavus\u003c/em\u003e on a PDA medium, the \u003cem\u003eTrichoderma\u003c/em\u003e spp inhibited growth with percentages of 78.83%, 77.01%, 75,88%, and 74,95% for CR-TS1, CR-TS3, CR-TC1, and CR-TS4 respectively. Similarly, to verify our isolates' capacity to secrete volatile compounds, a remote confrontation test was carried out by contrasting \u003cem\u003eTrichoderma\u003c/em\u003e spp and \u003cem\u003eAspergillus\u003c/em\u003e spp. The results of this test demonstrated the secretion of volatile compounds by our \u003cem\u003eTrichoderma\u003c/em\u003e spp with inhibition of 40.94%, 29.48%, 34.36, and 32.19% respectively for CR-ST1, CR-ST3, CR-TC1, and CR-TS4. Our study also showed that isolated \u003cem\u003eTrichoderma\u003c/em\u003e spp can produce extracellular enzymes such as amylase, protease, and lignase. Similarly, the phosphate solubilization test on Pikovskaya (PVK) medium and the siderophore test on chrome azurol S (CAS) agar medium using our \u003cem\u003eTrichoderma\u003c/em\u003e spp isolates were all positive, with halo formation around the colony for phosphate solubilization and a color change from blue to yellow for the siderophore. IAA, one of the phytohormones essential not only for the microorganism but also for the plant, tested positive on PDB medium supplemented with L-tryptophan. Similarly, the application of 10\u003csup\u003e7\u003c/sup\u003e spores/ml of suspension to maize seeds in vitro significantly (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) boosted maize germination from 90 to 100% compared with the control, which was at 80%. The results of pot experiments carried out to assess the growth promotion effect of our isolates showed a significant increase in plant size, root length, dry and fresh weight of plants and roots, as well as chlorophyll production. All these results show that our isolates can be used in agriculture as a biocontrol agent for aflatoxinogenic fungi and as a fertilizer.\u003c/p\u003e","manuscriptTitle":"Biocontrol efficacy of Trichoderma isolates in controlling aflatoxinogen fungi (Aspergillus flavus) and growth promoting of maize in Cameroun","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-03 08:26:16","doi":"10.21203/rs.3.rs-5091298/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6f0a9858-f87d-420e-9e24-40069e696bdb","owner":[],"postedDate":"October 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-10-03T08:26:16+00:00","versionOfRecord":[],"versionCreatedAt":"2024-10-03 08:26:16","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5091298","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5091298","identity":"rs-5091298","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}