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ORIGINAL RESEARCH article

Front. Microbiol., 19 October 2023
Sec. Evolutionary and Genomic Microbiology
This article is part of the Research Topic Genetics, Genomics, and Breeding of Edible Mushrooms in Asia View all 10 articles

Characterization and fungicide sensitivity of Trichoderma species causing green mold of Ganoderma sichuanense in China

Xuefei Li,,&#x;Xuefei Li1,2,3Frederick Leo Sossah,&#x;Frederick Leo Sossah2,4Yonglan Tuo,,Yonglan Tuo1,2,3Jiajun Hu,Jiajun Hu1,2Qian WeiQian Wei3Shiyu Li,Shiyu Li2,3Na Rong,Na Rong2,3Michael Wiafe-KwagyanMichael Wiafe-Kwagyan5Changtian LiChangtian Li2Bo Zhang,,
Bo Zhang1,2,3*Xiao Li,,
Xiao Li1,2,3*Yu Li,,
Yu Li1,2,3*
  • 1Joint International Research Laboratory of Modern Agricultural Technology, Ministry of Education, Jilin Agricultural University, Changchun, China
  • 2Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun, China
  • 3College of Plant Protection, Jilin Agricultural University, Changchun, China
  • 4Coconut Research Programme, Council for Scientific and Industrial Research (CSIR), Oil Palm Research Institute, Kade, Ghana
  • 5Department of Plant and Environmental Biology, School of Biological Sciences, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana

Green mold disease, caused by Trichoderma spp., is one of the most devastating diseases of mushrooms in China. The application of fungicides remains one of the important control methods among the integrated pest management tools for disease management in mushroom farms. This study aimed to identify Trichoderma spp., isolated from G. sichuanense fruiting bodies displaying green mold symptoms collected from mushroom farms in Zhejiang, Hubei, and Jilin Province, China, and evaluate their in vitro sensitivity to six fungicides. A total of 47 isolates were obtained and classified into nine Trichoderma spp. namely, T. asperellum, T. citrinoviride, T. ganodermatiderum, T. guizhouense, T. hamatum, T. harzianum, T. koningiopsis, T. paratroviride, and T. virens, through morphological characteristics and phylogenetic analysis of concatenated sequences of translation elongation factor 1-alpha (TEF) and DNA-dependent RNA polymerase II subunit (RPB2) genes. The pathogenicity test was repeated two times, and re-isolation of the nine Trichoderma spp. from the fruiting bodies of G. sichuanense fulfilled Koch’s postulates. Prochloraz manganese showed the best performance against most species. This research contributes to our understanding of green mold disease, reveals the phylogenetic relationships among Trichoderma species, and expands our knowledge of Trichoderma species diversity associated with green mold disease in G. sichuanense.

Introduction

Ganoderma sichuanense is a widely distributed pore fungus that holds ecological and economic significance (Zhao et al., 1983; Wang et al., 2012). With its valuable medicinal properties, it has been cultivated for centuries in China, Japan, South Korea, and other regions (Zhu et al., 2019; Wang et al., 2020). In China, G. sichuanense has been cultivated for over 100 years, primarily in provinces such as Jilin, Heilongjiang, Shandong, Anhui, Guangdong, Guangxi, Fujian, Jiangxi, and Zhejiang. Recent studies have highlighted its medicinal benefits, including anti-tumor activity, antioxidant effects, blood sugar and lipid regulation, blood pressure reduction, antiviral activity, liver protection, and anti-aging effects (Xiao et al., 2016; Chiu et al., 2017; Rahman et al., 2018, 2020; Pan and Lin, 2019; Qiu et al., 2019; Wu et al., 2019; Krobthong et al., 2021).

The commercial expansion of G. sichuanense cultivation has become crucial due to limited wild germplasm resources. In 2020, China’s Ganoderma production exceeded 189,000 tons, representing significant economic value (China Edible Fungi Association, 2020). However, this expansion has also led to increased disease occurrences, resulting in substantial economic losses by impacting the quality and yield of G. sichuanense. Among the various fungal pathogens affecting G. sichuanense production, Trichoderma spp., Xylogone ganodermophthora, and Cladobotryum spp. pose significant challenges (Kang et al., 2010; Zuo et al., 2016; Yan et al., 2019; Cai et al., 2020).

Green mold disease, primarily caused by Trichoderma species, is particularly concerning as it hampers the growth and productivity of G. sichuanense (Wang et al., 2016). While Trichoderma is known for its biocontrol effects, it can also act as a pathogen, posing a serious threat to edible fungi during cultivation (Shah et al., 2013; Kosanović et al., 2020). The occurrence of green mold disease caused by Trichoderma species in China has raised significant concerns, resulting in contamination and losses in yield and quality (Seaby, 1987; Choi et al., 1998; Wang et al., 2016; Seung et al., 2018). The impact of this disease on G. sichuanense cultivation in China is of particular concern given the economic importance of this valuable medicinal fungus (Pan and Lin, 2019; Rahman et al., 2020).

In the context of Ganoderma cultivation, Trichoderma-induced diseases are particularly problematic during the mycelial growth and emergence stages of G. sichuanense. However, limited research has been conducted on the diversity and pathogenicity of Trichoderma species isolated from G. sichuanense in China, and the establishment of effective control measures against Ganoderma-related diseases remains a challenge (Seaby, 1987; Chen and Zhuang, 2017; Yan et al., 2019; Cai et al., 2020; An et al., 2022). Therefore, identifying the causal agent and understanding its pathogenicity are crucial prerequisites for the development of effective disease management strategies.

Although fungicides are effective in controlling green mold disease, their use can lead to the development of resistance and pose environmental risks. Nevertheless, fungicides remain the most effective measure for disease control (Shah et al., 2013; Kosanović et al., 2015; Innocenti et al., 2019). Understanding the sensitivity of Trichoderma species to various fungicides can significantly contribute to disease management strategies. However, the fungicide sensitivities of Trichoderma isolates causing green mold disease in G. sichuanense in China have not been thoroughly investigated.

In this study, we aimed to investigate the Trichoderma species associated with G. sichuanense and their impact on disease development. Our findings revealed a disease incidence ranging from 3 to 15%, which significantly affected the growth and development of G. sichuanense, leading to direct economic consequences. The rapid germination and spread of Trichoderma spores underscored the potential for irreparable damage if the disease is not promptly controlled. We focused on the identification and characterization of these Trichoderma species, the assessment of their pathogenicity in G. sichuanense, and the evaluation of their sensitivity to fungicides. Through these comprehensive analyses, our objective was to provide valuable insights into disease management strategies for G. sichuanense cultivation.

Materials and methods

Sample collection and fungal isolation

During the period from 2021 to 2022, we collected fruiting bodies (basidiomata) of G. sichuanense displaying symptoms of green mold disease from three farms situated in Zhejiang, Hubei, and Jilin Province, China. The incidence of the disease ranged from 3 to 15%, significantly impacting the growth and development of G. sichuanense.

To conduct a comprehensive investigation of the disease, we isolated the fungus from the infected fruiting bodies using the tissue-isolation method. This involved carefully excising small pieces (0.3 cm) from the edges of the lesions on the diseased fruiting bodies using a sterile scalpel. The excised tissues were then subjected to surface sterilization by treating them with 75% ethanol (vol/vol) for 30 s, followed by 1% NaOCl (wt/vol) for 10 s. Subsequently, the tissues underwent three rinses with sterilized distilled water.

The tissues were placed onto dried and sterilized potato dextrose agar (PDA) plates and incubated in darkness at 25°C for three to 5 days. Regular inspections were carried out to monitor any fungal growth. Colonies that developed from the infected tissues were transferred to new PDA plates using the hyphal tip culture method to obtain pure cultures. All purified isolates were further subcultured on PDA medium for 3 days and preserved on PDA slants at 4°C.

Morphological characterization

To evaluate the characteristics of the isolates, mycelia plug with a diameter of 5.0 mm were obtained from the edges of actively growing cultures aged 5 days. These plugs were then placed at the center of agar plates containing potato dextrose agar (PDA), cornmeal dextrose agar (CMD), and synthetic low-nutrient agar (SNA). The plates were incubated at 25°C with a 12-h light/dark photoperiod for a duration of 5–7 days.

During the incubation period, careful observations and recordings were made on various colony characteristics, including color, shape, radial growth, and texture. The colony diameters were measured in two perpendicular directions. The daily growth rate was determined by calculating the average mean daily growth (mm/day).

For further analysis, one-week-old colonies cultivated on SNA plates were utilized to examine the conidia and conidiophores following the methods outlined by Chaverri et al. (2015). The shape and color of the conidia were observed, and the sizes of 20 randomly selected conidia from each isolate were measured under a Zeiss Axio lab. A1 microscope equipped with a differential interference contrast (DIC) optics camera (Carl Zeiss Microscopy GmbH, Germany), utilizing 1,000× magnification.

DNA extraction and sequence analysis

To obtain DNA for analysis, mycelia were collected from colonies cultivated on potato dextrose agar (PDA) for 3–5 days. DNA extraction was performed using the NuClean Plant Genomic DNA Kit (Cowin Biotech Co., Ltd., Taizhou, China).

For amplification of the target genes, specific primer pairs were used. The primer pair fRPB2-5f and fRPB2-7cr (Liu et al., 1999) amplified a 1 kb fragment of the RNA polymerase II second largest subunit (RPB2) gene. Additionally, the primer pair EF1-728F and TEF1LLErev (Chaverri et al., 2003; Jaklitsch et al., 2005) amplified a 1.3 kb fragment of the translation elongation factor 1-alpha (TEF1-a) gene. PCR amplification was conducted in a 30 μL reaction system comprising 15 μL of 10× PCR mix, 1.5 μL of each primer, 1.5 μL of template DNA, and 10.5 μL of ddH2O. For both RPB2 and TEF1-a genes, PCR conditions included an initial denaturation step at 95°C for 5 min, followed by 30 cycles of denaturation at 95°C for 1 min, annealing at 59°C for RPB2 or 55°C for TEF1-a for 90 s, extension at 72°C for 90 s, and a final extension at 72°C for 10 min. The PCR products were purified using the PCR Product Purification Kit, and gel electrophoresis was performed to confirm successful amplification.

Sequencing of the PCR products was carried out bidirectionally using the fRPB2-5f/fRPB2-7cr and TEF1/TEF2 primers (Jaklitsch, 2009) at Comate Biosciences Co. Ltd (Changchun, Jilin, China). The obtained sequences were assembled using CAP3 software (Huang and Madan, 1999) to generate consensus sequences. BioEdit software (version 7.0.0) was used to remove 20 to 30 bp from the terminal ends. Basic Local Alignment Search Tool (BLAST) analysis1 was conducted for each gene locus to confirm the identity of the isolates. The consensus sequences were deposited in GenBank (Table 1).2

TABLE 1
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Table 1. Specimen Numbers, country and their corresponding GenBank accession numbers of sequences used for phylogenetic analyses.

Phylogenetic analyses

After performing a BLAST search using the obtained ITS, RPB2, and TEF1-a sequences in the NCBI GenBank database, sequences that met specific criteria: ≥ 99% similarity for RPB2, ≥ 97% for TEF1-a, and ≥ 76% for ITS, were utilized to verify the identity of Trichoderma species in our phylogenetic analysis (Cai and Druzhinina, 2021). We retrieved homologous RPB2, TEF1-a, and ITS gene sequences of the isolates from GenBank. These sequences were aligned using the MUSCLE program (Edgar, 2004), and the resulting alignment was further refined using BioEdit 7.2.5 (Hall, 1999; Hall, 2011). Finally, we concatenated the gene sequences using Phylosuit V1.2.2 (Zhang et al., 2020). For the phylogenetic analysis, we employed the Maximum-Likelihood (ML) method using PhyML 3.0 (Guindon et al., 2010). The best substitution model was determined with PartitionFinder v2.1.1 (Lanfear et al., 2017). To assess statistical support, we conducted bootstrapping with 1,000 replicates (ML). Detailed lists of the fungal isolates used in this study can be found in Table 1 and Supplementary Table S1. The resulting ML tree was visualized using Figtree v1.4.4,3 providing a clear representation of the phylogenetic relationships among the isolates.

Pathogenicity tests

Pathogenicity experiments were conducted following Koch’s postulates, with each experiment replicated twice to ensure accuracy. Fully colonized substrate bags containing G. sichuanense were sourced from the Panshi Mushroom Base in Jilin Province, China. These bags were placed in a growth room with controlled conditions, including a temperature range of 25–30°C and humidity levels set between 80 and 90%, to promote fruiting. Once the fruiting bodies were formed, the bottom surface of the cap and the stipe were meticulously damaged using a sterilized needle. Subsequently, they were inoculated with a spore suspension of the isolates at a concentration of 1 × 105 spores per milliliter. As a comparison, the control group was inoculated with sterilized distilled water.

For each strain, six bags of G. sichuanense were inoculated. The development of symptoms was monitored daily for a period of 14 days. To confirm the causative agents of green mold disease, the pathogens were re-isolated from the inoculated G. sichuanense showing green mold symptoms. Identification was performed using the aforementioned morphological and molecular methods, considering strains that matched the original inoculum as the causative agents of green mold disease.

Effect of Trichoderma spp. on G. sichuanense mycelia in petri plates

To assess the aggressiveness of the isolates, a subset of nine isolates representing nine different species was selected from the total of 47 isolates. The experiments were performed with three replicates, following the procedure outlined below. Mycelial agar plugs with a diameter of 8 mm were obtained from the advancing edge of 10-day-old G. sichuanense colonies. These plugs were then inoculated onto potato dextrose agar (PDA) plates, positioned 1 cm from the edge of Petri plates with a diameter of 9 cm. After 7 days, mycelial plugs from Trichoderma cultures were inoculated in the same manner, but on the opposite side of the plate, 1 cm away from the edge. The growth of Trichoderma species in confrontation with G. sichuanense mycelia was carefully observed and recorded.

Fungicide sensitivity of isolates and G. sichuanense

To evaluate the efficacy of fungicides against green mold in mushrooms, a preliminary screening of six fungicides (mancozeb, chlorothalonil, fludioxonil, carbendazim, prochloraz, and prochloraz-Mn) was conducted. Stock solutions of each fungicide at a concentration of 100 mg/mL were prepared by dissolving them in sterilized distilled water. The growth inhibition rate of the fungi was assessed through mycelial growth assays.

PDA medium plates with different concentrations of each fungicide were prepared by adding the appropriate volume of the stock solution to sterilized distilled water. Mycelial plugs with a diameter of 7 mm were obtained from the edges of 3-day-old colonies grown on PDA and placed at the center of the PDA plates containing varying fungicide concentrations. All plates were then incubated at 25°C for 3 days. The growth inhibition rate of the mycelia was calculated using the formula i = a 1 a 2 a 1 × 100 , where “i” represents the growth inhibition rate, “a1” is the hyphae area of the untreated pathogen, and “a2” is the hyphae area of the treated pathogen (Etebarian et al., 2005).

Each fungicide treatment and the control were replicated on three plates, and the experiment was repeated twice. Based on the preliminary screening results of the six fungicides using the nine isolates, a suitable fungicide was selected. The sensitivity of G. sichuanense to these fungicides was further tested using the same method described above.

The sensitivity of the fungi to fungicides was determined by measuring the fungicide concentration that inhibited fungal development by 50% [half maximal effective concentration (EC50)] (Wong and Midland, 2007; Kim et al., 2020). The relative growth (RG) of the fungi at a specific fungicide concentration was calculated as a percentage of fungal growth compared to the control plates. The EC50 value was obtained by performing linear regression analysis on the probit-transformed relative inhibition values (1 - RG) at log10-transformed fungicide concentrations. The EC50 value for each isolate was calculated as the average of three experiments. The correlation coefficients (r) among EC50 values for different fungicides were determined using statistical algorithms provided by SAS software (version 9.4 for Windows; SAS Institute, Cary, NC, U.S.A.).

Results

Disease symptoms and fungal isolation

The fruiting bodies of G. sichuanense exhibited symptoms of green mold disease, which were visually distinct. Infected basidiomata displayed a layer of green mycelia, leading to decay and withering of the affected fruiting bodies (Figure 1). The severity of the disease was evident, as it progressed rapidly, particularly after watering flushes of the fruiting bodies. The development of symptoms followed a specific pattern: initially, white spots and mycelium appeared on the infected fruiting bodies. Under hot weather conditions or high humidity, there was a significant proliferation of green conidia within a short time, gradually covering the entire surface of the fruiting bodies. Subsequently, the spores dispersed through various means, such as water flow, human movement, or wind, resulting in the demise of G. sichuanense fruiting bodies and the loss of their ability to produce spores.

FIGURE 1
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Figure 1. Ganoderma sichuanense fruiting bodies infected by Trichoderma (A–D).

To investigate the pathogens responsible for green mold disease, we conducted fungal isolation from the infected fruiting bodies. A total of 47 pathogens were isolated and identified during the study (Tables 1 2; Supplementary Table S1). Among the isolated pathogens, we identified one strain of T. harzianum in Zhejiang Province and three strains in Hubei Province, namely T. koningiopsis, T. paratrovide, and T. virens. Interestingly, in Jilin Province, we observed a diverse range of strains, with a total of nine different species identified (Table 2). These pathogens were characterized by their ability to induce the distinctive symptoms associated with green mold disease on G. sichuanense.

TABLE 2
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Table 2. Number of Trichoderma isolates recovered from G. sichuanense with macroscopic symptoms of green mold disease collected.

Morphological characteristics

Using the classification methods proposed by Bissett (1984), Gams and Bissett (1998), and Park et al. (2006), we conducted a meticulous examination of colony shape, conidia, conidiophore size, chlamydospores, and pigmentation (Figures 2, 3) to identify nine Trichoderma species. The isolated species include T. ganodermatiderum (Figures 2AG), T. citrinoviride (Figures 2HL), T. hamatum (Figures 2MP), T. asperellum (Figures 2QU), T. guizhouense (Figures 2VZ), T. harzianum (Figures 3AC), T. virens (Figures 3DF), T. paratroviride (Figures 3GJ), and T. koningiopsis (Figures 3KO).

FIGURE 2
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Figure 2. Morphological characteristics of T. ganodermatiderum, T. citrinoviride, T. hamatum, T. asperellum, T. guizhouense. (Scale bars: A–D, J = 40 μm; G,K,M,N,Q = 20 μm; E,F,H,I,O,P,R–T,V–X = 10 μm; L,U,Y,Z = 5 μm).

FIGURE 3
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Figure 3. Morphological characteristics of T. harzianum, T. virens, T. paratroviride, T. koningiopsis. (Scale bars: A,D,E,K–M = 40 μm; B,C,F,G–I,N,O = 10 μm; J = 5 μm).

After 1 day of cultivation at 25°C, all strains displayed white villous colonies on PDA, SNA, and CMD media. By the fifth day, light green to dark green sporulation bands emerged on all media, gradually extending toward the center. CMD and SNA media supported the growth of relatively thin colonies. By the seventh day, green spores were dispersed throughout the entire plate, exhibiting a grayish green or chartreuse color (Figure 4). T. citrinoviride exhibited the production of a yellow pigment at a later stage (Figure 4B), and some exhibited concentric rings (Figure 4).

FIGURE 4
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Figure 4. Colony appearance of representative isolates of 9 Trichoderma species. (A) T. ganodermatiderum; (B) T. citrinoviride; (C) T. hamatum; (D) T. asperellum; (E) T. guizhouense; (F) T. harzianum; (G) T. virens; (H) T. paratroviride; (I) T. koningiopsis.

Microscopic analysis unveiled notable distinctions in the morphology of conidiophores, phialides, and conidia among the Trichoderma species. T. ganodermatedrum (Figures 2AG), T. asperellum (Figures 2QU), T. harzianum (Figures 3AC), and T. koningiopsis (Figures 3KO) exhibited dendriform branches and green spherical or ellipsoidal spores. While T. ganodermatedrum (Figures 2AG) and T. harzianum (Figures 3AC) shared similar spore sizes, the former displayed densely distributed conidiophores, whereas the latter had sparser conidiophore clusters. T. asperellum (Figures 2QU) and T. koningiopsis (Figures 3KO) exhibited similar spore sizes, but there were significant differences in the sizes of their phialides. Specifically, T. koningiopsis had phialides measuring 5.0–7.5 × 3.0–4.8 μm (Figures 3KM), while T. asperellum had phialides measuring 7–11 × 2–4 μm (Figures 2QS).

T. virens presented irregular branches at the top of its conidiophores, often accompanied by 3–6 closely arranged phialides, resulting in a more complex structure (Figures 3DF). T. hamatum displayed highly branched conidiophores, primarily with opposite lateral branches and a few solitary branches (Figures 2MP). The phialides of T. hamatum were densely packed, short, and round, measuring 5–7.5 × 3.0–4.4 μm (Figures 2MN). In the case of T. citrinoviride, its conidiophores appeared either opposite or alternate, and it possessed small spores measuring 2.9–4.0 × 1.8–2.2 μm (Figures 2HL). While T. guizouense (Figures 2VZ) and T. paratroviride (Figures 3GJ) featured nearly spherical spores, the former exhibited conidiophores in pairs or whorls, with phialides typically arranged in groups of 2–4. Conversely, T. guizouense predominantly displayed conidiophores in 2–3 whorls, occasionally occurring solitary, and its phialides were symmetrically distributed (Figures 2VX). Notably, T. hamatum (Figure 2P), T. asperellum (Figure 2U), T. guizouense (Figure 2Z), and T. koningiopsis (Figure 3O) exhibited abundant chlamydospores in later stages. For further details regarding the specific characteristics of each Trichoderma isolate, please consult Table 3.

TABLE 3
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Table 3. Microscopic characteristics of different Trichoderma isolates.

Phylogenetic analysis

The TEF1-a and RPB2 gene sequences of all Trichoderma isolates were compared to the NCBI database using BLAST analysis. Matches exhibiting a high similarity level (≥90%) were chosen for subsequent analysis. A phylogenetic analysis was conducted using the concatenated sequences of the TEF1-a and RPB2 genes from all Trichoderma isolates. The analysis revealed that the Trichoderma isolates could be classified into nine distinct clades: T. asperellum, T. citrinoviride, T. ganodermatiderum, T. guizhouense, T. hamatum, T. harzianum, T. koningiopsis, T. paratroviride, and T. virens (Figure 5). The phylogenetic trees were constructed using a dataset consisting of 19 sequences derived from two gene loci (TEF1-a and RPB2) obtained from a total of 47 samples. Among these sequences, 38 were newly generated, including 19 TEF1-a sequences and 19 RPB2 sequences. For more detailed information on the specific characteristics of each Trichoderma isolate, please refer to Table 1 and Supplementary Table S1.

FIGURE 5
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Figure 5. Phylogenetic tree illustrating the relationships among 19 Trichoderma isolates from Ganoderma sichuanense based on the combined TEF-1a and RPB2 genes using PhyML analysis. Bootstrap support values equal to or greater than 70% are shown at the nodes. T. estonicum and T. ceramicum were used as the outgroup. The isolates obtained in this study are highlighted in red.

Pathogenicity tests

In the pathogenicity test, mechanical damage was induced on the fruiting bodies followed by in vitro inoculation using a spore suspension. Two weeks after inoculation, all Trichoderma species showed similar green mold symptoms, as observed in Figure 6. Initially, small oval spots with white to pale green centers surrounded by a chlorotic area appeared on the G. sichuanense fruiting bodies 7 days post-inoculation. Over time, these lesions progressively increased in size and merged together. In severe cases, the infected fruiting bodies were completely covered by green spores. These symptoms observed under greenhouse conditions were consistent with the field symptoms of G. sichuanense. No symptoms were observed in the control group (Figure 6A).

FIGURE 6
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Figure 6. (A) CK; (B) T. ganodermatiderum; (C) T. citrinoviride; (D) T. asperellum; (E) T. guizhouense; (F) T. hamatum; (G) T. virens; (H) T. paratroviride; (I) T. Koningiopsis; (J) T. harzianum.

Additionally, all Trichoderma species were consistently re-isolated and confirmed using morphological and molecular methods, while no Trichoderma isolates were obtained from the control group, satisfying Koch’s postulates. The pathogenicity study demonstrated that all Trichoderma isolates induced green mold disease in G. sichuanense fruiting bodies upon inoculation. Among the isolates, T. harzianum exhibited the highest virulence (Figure 6J), followed by T. citrinoviride (Figure 6C), T. paratroviride (Figure 6H), T. guizhouense (Figure 6E), T. ganodermatiderum (Figure 6B), T. asperellum (Figure 6D), T. virens (Figure 6G), T. koningiopsis (Figure 6I), and T. hamatum (Figure 6F).

Effect of Trichoderma spp. on G. sichuanense mycelia

To assess the impact of different Trichoderma species on G. sichuanense mycelia, we conducted plate dual culture experiments. The results revealed that all Trichoderma species inhibited the growth of G. sichuanense mycelia and produced antagonistic lines. However, there were variations in the interactions between the nine Trichoderma species and G. sichuanense mycelia (Supplementary Figure S2). Notably, T. ganodermatiderum (Supplementary Figure S2A), T. citrinoviride (Supplementary Figure S2B), T. asperellum (Supplementary Figure S2D), and T. paratroviride (Supplementary Figure S2H) exhibited significant inhibition on G. sichuanense mycelial growth, while T. hamatum (Supplementary Figure S2C), T. guizhouense (Supplementary Figure S2E), T. harzianum (Supplementary Figure S2F), T. virens (Supplementary Figure S2G) and T. koningiopsis (Supplementary Figure S2I) showed relatively milder inhibition.

In terms of mycelial morphology, Trichoderma mycelia demonstrated the ability to overgrow and spread on G. sichuanense mycelia, leading to the formation of irregular conidial clusters (Supplementary Figure S2). This resulted in the gradual withering of G. sichuanense mycelia. In some cases, certain Trichoderma strains completely covered the G. sichuanense mycelium with their spores. Additionally, we observed various pigments and antagonistic streaks on the back of the culture medium (Supplementary Figure S2).

Fungicide sensitivity of isolates and G. sichuanense

In order to assess the effectiveness of fungicides against green mold disease, we conducted tests using six different fungicides in this study. Initially, we selected nine Trichoderma isolates to evaluate their sensitivity to these fungicides. The results showed that the inhibitory effect of the fungicides on Trichoderma growth varied, with stronger inhibition observed at higher fungicide concentrations. Table 4 presents the results, highlighting that prochloraz-manganese exhibited the highest inhibitory effect among the tested fungicides, as indicated by its minimum EC50 value, while Mancozeb showed the weakest inhibition with the highest EC50 value.

TABLE 4
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Table 4. Mean effective concentration to cause inhibition of by 50% (EC50) values of nine Trichoderma isolates from China to six fungicides.

Furthermore, we evaluated the inhibitory effects of the fungicides on the growth of G. sichuanense mycelium through extensive tests. Significant variations in the effects of the six fungicides on the growth of G. sichuanense mycelium were observed, which generally aligned with the effects observed on Trichoderma strains. Notably, prochloraz-manganese had the least impact on the growth of G. sichuanense mycelium, displaying the highest EC50 value while exhibiting the strongest inhibitory effect on Trichoderma mycelium (Table 4). These findings suggest that low concentrations of prochloraz-manganese can be effective in controlling Trichoderma. Additionally, prochloraz and carbendazim demonstrated good inhibitory effects on all Trichoderma strains (Supplementary Figures S3–S11).

Discussion

Green mold disease caused by Trichoderma species poses significant challenges in G. sichuanense cultivation, leading to economic losses and hindering industry growth (Lu et al., 2016; Huang et al., 2018; Zhang et al., 2018; Cai et al., 2020; An et al., 2022). This study aimed to comprehensively investigate Trichoderma species associated with G. sichuanense, focusing on their identification, characterization, pathogenicity assessment, and evaluation of fungicide efficacy. By addressing these objectives, we aimed to provide valuable insights into disease management strategies and the development of effective control measures for G. sichuanense cultivation.

Through morphological and molecular analyses, we successfully identified nine Trichoderma species associated with G. sichuanense: T. asperellum, T. citrinoviride, T. ganodermatiderum, T. guizhouense, T. hamatum, T. harzianum, T. koningiopsis, T. paratroviride, and T. virens (Lu et al., 2016; Huang et al., 2018; Zhang et al., 2018; Cai et al., 2020; An et al., 2022). These findings contribute to our understanding of the diversity and population dynamics of Trichoderma species associated with G. sichuanense, providing valuable insights for further research and disease management strategies.

A comprehensive understanding of the diversity and distribution of Trichoderma species in G. sichuanense cultivation is crucial for developing effective strategies to manage green mold disease. Our study revealed a wide range of Trichoderma species associated with green mold disease in G. sichuanense, including species known to affect mushrooms worldwide. Previous studies have also identified Trichoderma species as causative agents of green mold disease in various mushroom hosts, such as Agaricus bisporus, Pleurotus ostreatus, Lentinula edodes, Flammulina filiformis, Tricholoma matsutake, and Dictyophora rubrovolvata (Choi et al., 1998; Kosanović et al., 2015, 2020; Wang et al., 2016; Seung et al., 2018; Innocenti et al., 2019; Chen et al., 2021). These findings emphasize the broad host range of Trichoderma species and their significant economic impact on global mushroom cultivation.

Comparing our results with previous studies on Trichoderma species associated with G. sichuanense, we confirmed the presence of several previously reported species, including T. asperellum, T. citrinoviride, T. guizhouense, T. hamatum, T. paratroviride, and T. virens (Bissett et al., 2015; Zhu et al., 2017; An et al., 2022). However, our identification of T. ganodermatiderum in this specific cultivation system confirms its previously reported association as a pathogen on G. sichuanense (An et al., 2022). The incorporation of molecular data, specifically TEF1-a and RPB2 gene sequences, in our identification process significantly enhanced the accuracy and reliability of species identification. This approach contributes to a more comprehensive understanding of Trichoderma populations in G. sichuanense cultivation and adds to the growing body of knowledge on Trichoderma diversity associated with specific host plants.

The confrontation assay demonstrated that Trichoderma species effectively overgrow and spread on G. sichuanense mycelia, leading to the formation of irregular conidial clusters and the gradual withering of the mycelia. Some Trichoderma strains completely covered the G. sichuanense mycelium with their spores. The presence of pigments and antagonistic streaks on the culture medium further confirmed the antagonistic behavior of Trichoderma species against G. sichuanense. These findings indicate that the identified Trichoderma species have the ability to suppress the growth of G. sichuanense mycelia and can be considered as pathogens causing green mold disease in G. sichuanense. The pigments produced by Trichoderma species may play a role in their antagonistic behavior against G. sichuanense by acting as defense mechanisms, allowing Trichoderma to outcompete and suppress the growth of G. sichuanense mycelia (Kubicek et al., 2019; Robinson, 2022).

Further research should focus on investigating the specific mechanisms underlying the inhibition of G. sichuanense mycelial growth by Trichoderma species, as well as characterizing and understanding the role of the pigments and metabolites produced by Trichoderma. Such studies will provide valuable insights into the interaction between Trichoderma and G. sichuanense and contribute to the development of effective strategies for managing green mold disease.

The effectiveness of fungicides in controlling green mold disease caused by Trichoderma species is crucial for successful mushroom cultivation. In this study, we evaluated the efficacy of six different fungicides against Trichoderma growth and their inhibitory effects on G. sichuanense mycelium. Our results revealed varying levels of inhibition on Trichoderma growth by the tested fungicides. The inhibitory effect was stronger at higher fungicide concentrations (Table 4). Prochloraz-manganese exhibited the highest inhibitory effect, as evidenced by its minimum EC50 value (Shamshad et al., 2009), while Mancozeb showed the weakest inhibition with the highest EC50 value. These findings highlight the dependence of fungicide effectiveness on both the specific fungicide used and its concentration. Furthermore, we investigated the effects of the fungicides on the growth of G. sichuanense mycelium. Interestingly, the inhibitory effects of the six fungicides on G. sichuanense mycelium generally aligned with their effects on Trichoderma strains. Notably, despite exhibiting the strongest inhibitory effect on Trichoderma mycelium, prochloraz-manganese had the least impact on G. sichuanense mycelium growth (Table 4; Hatvani, 2008; Grogan and Jukes, 2010). This suggests that prochloraz-manganese can effectively control Trichoderma without severely affecting the growth of G. sichuanense mycelium, even at low concentrations.

The results indicate that prochloraz and carbendazim exhibited strong inhibitory effects on all tested Trichoderma strains (Supplementary Figure S3–S11), suggesting their potential as broad-spectrum fungicides for controlling Trichoderma species in mushroom cultivation (Innocenti et al., 2019). These findings underscore the importance of selecting fungicides based on their specific inhibitory effects on Trichoderma species, taking into account their compatibility with the growth of the mushroom host. Notably, prochloraz-manganese, prochloraz, and carbendazim have shown promise in effectively managing Trichoderma growth while minimizing their impact on G. sichuanense mycelium.

However, it is important to consider the potential development of fungicide resistance and the long-term sustainability of fungicide use in disease management strategies. To mitigate the economic losses associated with green mold disease while minimizing negative impacts on mushroom production and the environment (Potocnik et al., 2015), alternative control measures and integrated disease management approaches should be explored. These measures can incorporate cultural practices and biological control agents. Such approaches would enhance the sustainability of mushroom cultivation and reduce reliance on fungicides.

There are several limitations to consider in this study. Firstly, the survey was conducted in a specific geographic region of China, including Zhejiang, Hubei, and Jilin Province. Therefore, the findings may not be representative of the entire country or other regions where G. sichuanense is cultivated. Further studies in different regions and countries would provide a more comprehensive understanding of the prevalence and diversity of Trichoderma species causing green mold disease in G. sichuanense. Secondly, while morphological and phylogenetic analysis were employed to classify the isolated Trichoderma strains into different species, these methods have certain limitations. Additional molecular techniques, such as DNA sequencing or genotyping, would provide more precise identification and a deeper understanding of the genetic diversity and relationships among the Trichoderma pathogens.

Furthermore, this study focused primarily on the pathogenicity of the identified Trichoderma species through inoculation tests on healthy G. sichuanense fruiting bodies. The investigation of other factors influencing the disease development, such as environmental conditions, host resistance, or interactions with other microorganisms, was not extensively explored. A more comprehensive study incorporating these factors would provide a more holistic understanding of green mold disease in G. sichuanense. Lastly, the sensitivity of the Trichoderma species to fungicides was assessed using a limited number of commercially available fungicides. The evaluation of additional fungicides or alternative management approaches would contribute to a more comprehensive understanding of effective control measures for green mold disease. Addressing these limitations in future research endeavors would help to enhance our understanding of the prevalence, genetic diversity, pathogenicity mechanisms, and effective management strategies for Trichoderma species causing green mold disease in G. sichuanense.

In summary, our study provides valuable insights into the host range of Trichoderma species associated with G. sichuanense and their susceptibility to T. guizhouense, T. virens, T. hamatum, T. paratroviride, T. asperellum, and T. citrinoviride. Furthermore, we have evaluated the effectiveness of selected fungicides in controlling green mold disease, offering valuable information for disease prevention and management in edible fungi. These findings are of significant importance for the effective control of green mold disease on G. sichuanense in China. our study also contributes to the existing knowledge on the effectiveness of fungicides against Trichoderma and their impact on G. sichuanense mycelium. These findings provide a foundation for the development of robust disease management strategies and underscore the importance of continued research to enhance the sustainability of mushroom cultivation. By understanding the sensitivity of Trichoderma strains and the efficacy of fungicides, we can develop targeted strategies for disease management. However, it is crucial to conduct further research to explore sustainable approaches that minimize potential fungicide resistance and environmental impacts in mushroom cultivation.

Data availability statement

The data presented in the study are deposited in the NCBI repository. TEF-1a sequence accession numbers: OR291383-OR291398; RPB2 sequence accession numbers: OR291399-OR291417; ITS sequence accession numbers: OR569141-OR569159.

Author contributions

XuL: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. FS: Formal analysis, Methodology, Resources, Software, Visualization, Writing – review & editing. YT: Data curation, Investigation, Methodology, Resources. JH: Conceptualization, Methodology, Resources, Software. QW: Methodology, Validation. SL: Methodology, Validation. NR: Methodology, Validation. MW-K: Formal analysis, Visualization. CL: Investigation, Resources, Visualization. BZ: Funding acquisition, Project administration, Supervision, Visualization, Writing – review & editing. XiL: Conceptualization, Investigation, Project administration, Resources, Supervision, Visualization, Writing – review & editing. YL: Conceptualization, Funding acquisition, Project administration, Supervision, Visualization, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was financed by the Diversity and conservation of characteristic macrofungi resources in different vegetation zones in Changbai Mountain of China (20230202119NC), Natural Science Foundation of China (nos. 31970020), the Scientific and Technological Tackling Plan for the Key Fields of Xinjiang Production and Construction Corps (no. 2021AB004), Research on the Creation of Excellent Edible Mushroom Resources and High Quality & Efficient Ecological Cultivation Technology in Jiangxi Province (20212BBF61002), Modern Agroindustry Technology Research System (CARS20), and 111 program (no. D17014).

Acknowledgments

We would like to express our gratitude to Xiulian Duan, Director of Jigu Biotechnology Co., Ltd. in Jilin Province, for kindly providing the mushroom bags of G. sichuanense. Additionally, we extend our thanks to Jianquan Zhu, Director of Fuzhidao Biotechnology Co., Ltd. in Jilin Province, for assisting us with the collection of green mold samples from G. sichuanense fruiting bodies.

Conflict of interest

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

Publisher’s note

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

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2023.1264699/full#supplementary-material

Footnotes

References

An, X. Y., Cheng, G. H., Gao, H. X., Li, X. F., Yang, Y., Li, D., et al. (2022). Phylogenetic analysis of Trichoderma species associated with green mold disease on mushrooms and two new pathogens on Ganoderma sichuanense. J. Fungi 8:704. doi: 10.3390/jof8070704

PubMed Abstract | CrossRef Full Text | Google Scholar

Bissett, J. (1984). A revision of the genus Trichoderma. I. Section Longibrachiatum sect. nov. Can. J. Bot. 62, 924–931. doi: 10.1139/b84-131

CrossRef Full Text | Google Scholar

Bissett, J., Gams, W., Jaklitsch, W., and Samuels, G. J. (2015). Accepted Trichoderma names in the year 2015. IMA Fungus 6, 263–295. doi: 10.5598/imafungus.2015.06.02.02

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, F., and Druzhinina, I. S. (2021). In honor of John Bissett: authoritative guidelines on molecular identification of Trichoderma. Fungal Divers. 107, 1–69. doi: 10.1007/s13225-020-00464-4

CrossRef Full Text | Google Scholar

Cai, M., Idrees, M., Zhou, Y., Zhang, C., and Xu, J. (2020). First report of green mold disease caused by Trichoderma hengshanicum on Ganoderma lingzhi. Mycobiology 48:427-430. doi: 10.1080/12298093.2020.1794230

CrossRef Full Text | Google Scholar

Chaverri, P., Branco-Rocha, F., Jaklitsch, W., Gazis, R., Degenkolb, T., et al. (2015). Systematics of the Trichoderma harzianum species complex and the re-identification of commercial biocontrol strains. Mycologia 107, 558–590. doi: 10.3852/14-147

CrossRef Full Text | Google Scholar

Chaverri, P., Castlebury, L. A., Samuels, G. J., and Geiser, D. M. (2003). Multilocus phylogenetic structure within the Trichoderma harzianum/Hypocrea lixii complex. Mol. Phylogenet. Evol. 27, 302–313. doi: 10.1016/S1055-7903(02)00400-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X. Y., Zhou, X. H., Zhao, J., Tang, X. L., Pasquali, M., Migheli, Q., et al. (2021). Occurrence of green mold disease on Dictyophora rubrovolvata caused by Trichoderma koningiopsis. J. Plant Pathol. 103, 981–984. doi: 10.1007/s42161-021-00861-x

CrossRef Full Text | Google Scholar

Chen, K., and Zhuang, W. Y. (2017). Discovery from a large-scaled survey of Trichoderma in soil of China. Sci. Rep. 7:9090. doi: 10.1038/s41598-017-07807-3

CrossRef Full Text | Google Scholar

China Edible Fungi Association (2020). Available at: http://www.cefa.org.cn/web/index.html

Google Scholar

Chiu, H. F., Fu, H. Y., Lu, Y. Y., Han, Y. C., Shen, Y. C., Venkatakrishnan, K., et al. (2017). Triterpenoids and polysaccharide peptides-enriched Ganoderma lucidum: a randomized, double-blind placebo-controlled crossover study of its antioxidation and hepatoprotective efficacy in healthy volunteers. Pharm. Biol. 55, 1041–1046. doi: 10.1080/13880209.2017.1288750

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, I. Y., Lee, W. H., and Choi, J. S. (1998). Forest green mold disease caused by Trichoderma pseudokoningii in winter mushroom, Flammulina velutipes. Korean J. Mycol. 26, 531–537.

Google Scholar

Edgar, R. C. (2004). MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797. doi: 10.1093/nar/gkh340

PubMed Abstract | CrossRef Full Text | Google Scholar

Etebarian, H. R., Sholberg, P. L., Eastwell, K. C., and Sayler, R. J. (2005). Biological control of apple blue mold with Pseudomonas fluorescens. Can. J. Microbiol. 51, 591–598. doi: 10.1139/w05-039

CrossRef Full Text | Google Scholar

Gams, W., and Bissett, J. (1998). Morphology and identification of Trichoderma. Trichoderma Gliocladium 1, 3–34.

Google Scholar

Grogan, H. M., and Jukes, A. A. (2010). Persistence of the fungicides thiabendazole, carbendazim and prochloraz-Mn in mushroom casing soil. Pest Manag. Sci. 59, 1225–1231. doi: 10.1002/ps.759

CrossRef Full Text | Google Scholar

Guindon, S., Dufayard, J. F., Lefort, V., Anisimova, M., Hordijk, W., and Gascuel, O. (2010). New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst. Biol. 59, 307–321. doi: 10.1093/sysbio/syq010

PubMed Abstract | CrossRef Full Text | Google Scholar

Hall, T. A. (1999). Bioedit: a user-friendly biological sequence alignment editor and analysis program for windows 95/98/Nt. Nucleic Acids Symp. 41, 95–98. doi: 10.1021/bk-1999-0734.ch008

CrossRef Full Text | Google Scholar

Hall, T. A. (2011). BioEdit: an important software for molecular biology. Gerf Bull Biosci. 2, 60–61.

Google Scholar

Hatvani, L. (2008). Mushroom pathogenic Trichoderma species: occurrence, diagnosis and extracellular enzyme production. PhD thesis. Szeged, Hungary: University of Szeged

Google Scholar

Huang, X., and Madan, A. (1999). CAP3: a DNA sequence assembly program. Genome Res. 9, 868–877. doi: 10.1101/gr.9.9.868

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, X. W., Yan, Y. H., Zhang, T., Geng, L. J., Cheng, Z., et al. (2018). Isolation, identification and rapid detection of the pathogen causing green mold on Ganoderma lingzhi. J. Plant Prot. 45, 1435–1436. (in Chinese)

Google Scholar

Innocenti, G., Montanari, M., Righini, H., and Roberti, R. (2019). Trichoderma species associated with green mould disease of Pleurotus ostreatus and their sensitivity to prochloraz. Plant Pathol. 68. doi: 10.1111/ppa.12953

CrossRef Full Text | Google Scholar

Jaklitsch, M. W. (2009). European species of Hypocrea. Part I. The green-spored species. Stud. Mycol. 63, 1–91. doi: 10.3114/sim.2009.63.01

CrossRef Full Text | Google Scholar

Jaklitsch, W. M., Komon, M., Kubicek, C. P., and Druzhinina, I. S. (2005). Hypocrea voglmayrii sp. nov. from the Austrian Alps represents a new phylogenetic clade in Hypocrea/Trichoderma. Mycologia 97, 1365–1378. doi: 10.3852/mycologia.97.6.1365

CrossRef Full Text | Google Scholar

Kang, H. J., Sigler, L., Lee, J., Gibas, C. F., Yun, S. H., et al. (2010). Xylogone ganodermophthora sp. nov., an ascomycetous pathogen causing yellow rot on cultivated mushroom Ganoderma lucidum in Korea. Mycologia 102, 1167–1184. doi: 10.3852/09-304

CrossRef Full Text | Google Scholar

Kim, C. H., Hassan, O., and Chang, T. (2020). Diversity, pathogenicity, and fungicide sensitivity of Colletotrichum species associated with apple anthracnose in South Korea. Plant Dis. 104, 2866–2874. doi: 10.1094/PDIS-01-20-0050-RE

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosanović, D., Grogan, H., and Kavanagh, K. (2020). Exposure of Agaricus bisporus to Trichoderma aggressivum f. europaeum leads to growth inhibition and induction of an oxidative stress response. Fungal Biol. 124, 814–820. doi: 10.1016/j.funbio.2020.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosanović, D., Potočnik, I., Vukojević, J., Stajić, M., Rekanović, E., Stepanović, M., et al. (2015). Fungicide sensitivity of Trichoderma spp. from Agaricus bisporus farms in Serbia. J. Environ. Sci. Health B 50, 607–613. doi: 10.1080/03601234.2015.1028849

PubMed Abstract | CrossRef Full Text | Google Scholar

Krobthong, S., Choowongkomon, K., Suphakun, P., Kuaprasert, B., and Yingchutrakul, Y. (2021). The anti-oxidative effect of Lingzhi protein hydrolysates on lipopolysaccharide-stimulated A549 cells. Food Biosci. 41:101093. doi: 10.1016/j.fbio.2021.101093

CrossRef Full Text | Google Scholar

Kubicek, C. P., Steindorff, A. S., Chenthamara, K., Manganiello, G., Henrissat, B., et al. (2019). Evolution and comparative genomics of the most common Trichoderma species. BMC Genomics 20:485. doi: 10.1186/s12864-019-5680-7

CrossRef Full Text | Google Scholar

Lanfear, R., Frandsen, P. B., Wright, A. M., Senfeld, T., and Calcott, B. (2017). PartitionFinder 2: new methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Mol. Biol. Evol. 34, 772–773. doi: 10.1093/molbev/msw260

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y. J., Whelen, S., and Hall, B. D. (1999). Phylogenetic relationships among ascomycetes: evidence from an RNA polymerse II subunit. Mol. Biol. Evol. 1799-1808. doi: 10.1093/oxfordjournals.molbev.a026092

CrossRef Full Text | Google Scholar

Lu, B. H., Zuo, B., Liu, X. L., Feng, J., Wang, Z. M., and Gao, J. (2016). Trichoderma harzianum causing green mold disease on cultivated Ganoderma lucidum in Jilin province, China. Plant Disease 100:2524. doi: 10.1094/PDIS-04-16-0422-PDN

CrossRef Full Text | Google Scholar

Pan, Y., and Lin, Z. B. (2019). Anti-aging effect of Ganoderma (Lingzhi) with health and fitness. Adv. Exp. Med. Biol. 1182, 299–309. doi: 10.1007/978-981-32-9421-9_13

CrossRef Full Text | Google Scholar

Park, M. S., Bae, K. S., and Yu, S. H. (2006). Two new species of Trichoderma associated with green mold of oyster mushroom cultivation in Korea. Mycobiology 34, 111–113. doi: 10.4489/MYCO.2006.34.3.111

PubMed Abstract | CrossRef Full Text | Google Scholar

Potocnik, I., Stepanovic, M., Rekanovic, E., Todorovic, B., and Milijasevic, M. S. (2015). Disease control by chemical and biological fungicides in cultivated mushrooms: button mushroom, oyster mushroom and shiitake. Pestic. Phytomed 30, 201–208. doi: 10.2298/PIF1504201P

CrossRef Full Text | Google Scholar

Qiu, Z., Zhong, D., and Yang, B. (2019). Preventive and therapeutic effect of Ganoderma (Lingzhi) on liver injury. Adv. Exp. Med. Biol. 1182, 217–242. doi: 10.1007/978-981-32-9421-9_9

CrossRef Full Text | Google Scholar

Rahman, M. A., Abdullah, N., and Aminudin, N. (2018). Evaluation of the anti-oxidative and hypocholesterolemic effects of Lingzhi or Reishi medicinal mushroom, Ganoderma lucidum (Agaricomycetes), in ameliorating cardiovascular diseases. Int. J. Med. Mushrooms 20, 961–969. doi: 10.1615/IntJMedMushrooms.2018028370

PubMed Abstract | CrossRef Full Text | Google Scholar

Rahman, M. A., Hossain, S., Abdullah, N., and Aminudin, N. (2020). Lingzhi or Reishi medicinal mushroom, Ganoderma lucidum (Agaricomycetes) ameliorates spatial learning and memory deficits in rats with hypercholesterolemia and alzheimer's disease. Int J Med Mushrooms. 22, 93–103. doi: 10.1615/IntJMedMushrooms.2020033383

PubMed Abstract | CrossRef Full Text | Google Scholar

Robinson, S. C. (2022). Colorants produced by Penicillium murcianum are a natural moldicide against Trichoderma and other Penicillium species. Coatings 12:821. doi: 10.3390/coatings12060821

CrossRef Full Text | Google Scholar

Seaby, A. (1987). Infection of mushroom compost by Trichoderma species. Mushroom J. 179, 355–361.

Google Scholar

Seung, Y. O., Myung, S. P., Hae, J. C., and Young, W. L. (2018). Diversity and effect of Trichoderma isolated from the roots of Pinus densiflora within the fairy ring of pine mushroom (Tricholoma matsutake). PLoS One 13:e0205900. doi: 10.1371/journal.pone.0205900

PubMed Abstract | CrossRef Full Text | Google Scholar

Shah, S., Nasreen, S., and Kousar, S. (2013). Efficacy of fungicides against Trichoderma spp. causing green mold disease of oyster mushroom (Pleurotus sajor-caju). Res. J. Microbiol. 8, 13–24. doi: 10.3923/jm.2013.13.24

CrossRef Full Text | Google Scholar

Shamshad, A., Clift, A. D., and Mansfield, S. (2009). Imazalil, manganese prochloraz and carbendazim treatments do not affect the yield of Agaricus bisporus, hybrid strain Sylvan A15 in New South Wales. Plant Prot. Quart. 24, 50–54. doi: 10.1586/1744666X.2016.1133295

CrossRef Full Text | Google Scholar

Wang, G. Z., Cao, X. T., Ma, X. L., Guo, M. P., Liu, C. H., Yan, L., et al. (2016). Diversity and effect of Trichoderma spp. associated with green mold disease on Lentinula edodes in China. Microbiology 5, 709–718. doi: 10.1002/mbo3.364

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Fan, X., and Wu, X. (2020). Ganoderma lucidum polysaccharide (GLP) enhances antitumor immune response by regulating differentiation and inhibition of MDSCs via a CARD9-NF-κB-IDO pathway. Biosci. Rep. 40:BSR20201170. doi: 10.1042/BSR20201170

CrossRef Full Text | Google Scholar

Wang, X. C., Xi, R. J., Li, Y., Wang, D. M., and Yao, Y. J. (2012). The species identity of the widely cultivated Ganoderma, ‘G. lucidum’ (Ling-zhi), in China. PLoS One 7:e40857. doi: 10.1371/journal.pone.0040857

CrossRef Full Text | Google Scholar

Wong, F. P., and Midland, S. L. (2007). Sensitivity distributions of California populations of Colletotrichum cereale to the DMI fungicides propiconazole, myclobutanil, tebuconazole, and triadimefon. Plant Dis. 91, 1547–1555. doi: 10.1094/PDIS-91-12-1547

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Q., Li, Y., Peng, K., Wang, X. L., Ding, Z. Y., et al. (2019). Isolation and characterization of three antihypertension peptides from the mycelia of Ganoderma lucidum (Agaricomycetes). J. Agric. Food Chem. 67, 1–11. doi: 10.1021/acs.jafc.9b02276

CrossRef Full Text | Google Scholar

Xiao, C., Wu, Q., Zhang, J., Xie, Y., Cai, W., et al. (2016). Antidiabetic activity of Ganoderma lucidum polysaccharides F31 down-regulated hepatic glucose regulatory enzymes in diabetic mice. J. Ethnopharmacol. 196, 47–57. doi: 10.1016/j.jep.2016.11.044

CrossRef Full Text | Google Scholar

Yan, Y., Xu, J., Zhang, C., Moodley, O., and Zhang, L. (2019). Green mold on Ganoderma lingzhi (Agaricomycetes) caused by Trichoderma atroviride. Int. J. Med. Mushrooms 21, 515–521. doi: 10.1615/IntJMedMushrooms.2019030352

CrossRef Full Text | Google Scholar

Zhang, D., Gao, F., Jakovlić, I., Zou, H., Zhang, J., Li, W. X., et al. (2020). Phylosuite: an integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies. Mol. Ecol. Resour. 20, 348–355. doi: 10.1111/1755-0998.13096

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, T., Lu, M. Z., Zhang, C. L., and Xu, J. Z. (2018). First report of Trichoderma longibrachiatum causing green mold disease on Ganoderma lingzhi. Plant Dis. 103. doi: 10.1094/PDIS-05-18-0818-PDN

CrossRef Full Text | Google Scholar

Zhao, J. D., Xu, L. W., and Zhang, X. Q. (1983). Taxonomic studies on the family Ganodermataceae of China II. Acta Mycol. Sin. 2, 159–167. doi: 10.13346/j.mycosystema.1983.03.003 (In Chinese).

CrossRef Full Text | Google Scholar

Zhu, Z. X., Xu, H. X., Zhuang, W. Y., and Li, Y. (2017). Two new green-spored species of Trichoderma (Sordariomycetes, Ascomycota) and their phylogenetic positions. MycoKeys 26, 61–75. doi: 10.3897/mycokeys.26.14919

CrossRef Full Text | Google Scholar

Zhu, L. F., Yao, Y. F., Ahmad, Z., and Chang, M. W. (2019). Development of Ganoderma lucidum spore powder based proteoglycan and its application in hyperglycemic, antitumor and antioxidant function. Process Biochem. 2019, 103–111. doi: 10.1016/j.procbio.2019.05.025

CrossRef Full Text | Google Scholar

Zuo, B., Lu, B. H., Liu, X. L., Wang, Y., Ma, G. L., and Gao, J. (2016). First report of Cladobotryum mycophilum causing cobweb on Ganoderma lucidum cultivated in Jilin Province, China. Plant Dis. 100:1239. doi: 10.1094/PDIS-12-15-1431-PDN

CrossRef Full Text | Google Scholar

Keywords: Trichoderma spp., Ganoderma sichuansense , green mold disease, pathogenicity, fungicides, prochloraz manganese, mushroom health

Citation: Li X, Sossah FL, Tuo Y, Hu J, Wei Q, Li S, Rong N, Wiafe-Kwagyan M, Li C, Zhang B, Li X and Li Y (2023) Characterization and fungicide sensitivity of Trichoderma species causing green mold of Ganoderma sichuanense in China. Front. Microbiol. 14:1264699. doi: 10.3389/fmicb.2023.1264699

Received: 21 July 2023; Accepted: 28 September 2023;
Published: 19 October 2023.

Edited by:

Chenyang Huang, Chinese Academy of Agricultural Sciences, China

Reviewed by:

Beilei Wu, Chinese Academy of Agricultural Sciences, China
Vagish Dwibedi, Chandigarh University, India

Copyright © 2023 Li, Sossah, Tuo, Hu, Wei, Li, Rong, Wiafe-Kwagyan, Li, Zhang, Li and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Bo Zhang, emhhbmdib2Z1bmdpQDEyNi5jb20=; Xiao Li, bHhtb2d1QDE2My5jb20=; Yu Li, eXVsaTk2NkAxMjYuY29t

These authors have contributed equally to this work

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