Next Article in Journal
Metagenomics of Toenail Onychomycosis in Three Victorian Regions of Australia
Next Article in Special Issue
Biodegradation of Aflatoxin B1 in Maize Grains and Suppression of Its Biosynthesis-Related Genes Using Endophytic Trichoderma harzianum AYM3
Previous Article in Journal
The Role of Sfp1 in Candida albicans Cell Wall Maintenance
Previous Article in Special Issue
Management of Plant Beneficial Fungal Endophytes to Improve the Performance of Agroecological Practices
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Endophytic Fungi Associated with Aquilaria sinensis (Agarwood) from China Show Antagonism against Bacterial and Fungal Pathogens

1
Center for Yunnan Plateau Biological Resources Protection and Utilization, College of Biological Resource and Food Engineering, Qujing Normal University, Qujing 655011, China
2
Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai 57100, Thailand
3
School of Science, Mae Fah Luang University, Chiang Rai 57100, Thailand
4
Research Center of Microbial Diversity and Sustainable Utilization, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
5
Centre for Mountain Futures, Kunming Institute of Botany, Kunming 650201, China
6
Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, USA
7
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
8
Department of Pharmacology & Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia
*
Authors to whom correspondence should be addressed.
J. Fungi 2022, 8(11), 1197; https://doi.org/10.3390/jof8111197
Submission received: 9 October 2022 / Revised: 9 November 2022 / Accepted: 10 November 2022 / Published: 14 November 2022
(This article belongs to the Special Issue New Perspectives on Fungal Endophytes Research)

Abstract

:
Agarwood is the most expensive non-construction wood product in the world. As a therapeutic agent, agarwood can cure some diseases, but few studies have been carried out on the antagonistic abilities of endophytic fungi associated with agarwood. Agarwood is mainly found in the genus Aquiaria. The objectives of this study are to understand the antimicrobial activities and their potential as biocontrol agents of the endophytic fungi of Aquilaria sinensis. First, fresh samples of A. sinensis were collected from Yunnan and Guangdong Provinces in 2020–2021, and the endophytic fungi were isolated and identified to genus level based on the phylogenetic analyses of the Internal Transcribed Spacer (ITS) region. In this bioassay, 47 endophytic strains were selected to check their bioactivities against three bacterial pathogens viz. Erwinia amylovora, Pseudomonas syringae, and Salmonella enterica; and three fungal pathogens viz. Alternaria alternata, Botrytis cinerea, and Penicillium digitatum. The antibiosis test was carried out by the dual culture assay (10 days), and among the 47 strains selected, 40 strains belong to 18 genera viz. Alternaria, Annulohypoxylon, Aspergillus, Botryosphaeria, Colletotrichum, Corynespora, Curvularia, Daldinia, Diaporthe, Fusarium, Lasiodiplodia, Neofusicoccum, Neopestalotiopsis, Nigrospora, Paracamarosporium, Pseudopithomyces, Trichoderma, Trichosporon and one strain belongs to Xylariaceae had antimicrobial activities. In particular, Lasiodiplodia sp. (YNA-D3) showed the inhibition of all the bacterial and fungal pathogens with a significant inhibition rate. In addition, the strains viz; Curvularia sp. (GDA-3A9), Diaporthe sp. (GDA-2A1), Lasiodiplodia sp. (YNA-D3), Neofusicoccum sp. (YNA-1C3), Nigrospora sp. (GDA-4C1), and Trichoderma sp. (YNA-1C1) showed significant antimicrobial activities and are considered worthy of further studies to identify individual fungal species and their bioactive compounds. This study enriches the diversity of endophytic fungi associated with agarwood, and their potential antagonistic effects against bacterial and fungal pathogens.

1. Introduction

Aquilaria Lam. (Thymelaeaceae Juss.) is the main genus that can produce agarwood [1,2]. Agarwood, a fragrant, dark, and resinous heartwood is the most expensive non-construction wood product in the world [3,4]. In China, agarwood is used in traditional Chinese medicine, and only A. sinensis (Lour.) Spreng. is the main agarwood tree species cultivated in Guangdong, Guangxi, Hainan, and Yunnan Provinces [4,5,6,7,8]. Current research on endophytic fungi associated with A. sinensis mainly focuses on the agarwood formation ability of the endophytic fungi [9,10], and only a few of the A. sinensis associated endophytic fungi have been studied for antimicrobial activities via dual culture assay [11]. In a previous study, 38 endophytic strains have been reported to have antimicrobial activities, for example, Botryosphaeria rhodina (Berk. & M.A. Curtis) Arx, Cladosporium edgeworthiae H. Zhang & Z.Y. Zhang, Fusarium oxysporum Schltdl., and Guignardia mangiferae A.J. Roy showed antimicrobial activities [12]; and a variety of important secondary metabolites with antibacterial and antimicrobial activities have been extracted from Nemania aquilariae Tibpromma & Zhang Lu [10]. However, the microorganisms that can be inhibited by agarwood are not clear enough, thus it is necessary to continue the research on the microbial spectrum of agarwood [13].
In this study, endophytic fungi associated with agarwood isolated from different plant tissues were used to test their antagonistic abilities against three pathogenic bacteria viz. Erwinia amylovora (Burrill) Winslow et al., Pseudomonas syringae van Hall, and Salmonella enterica (ex Kauffmann and Edwards) Le Minor and Popoff; and three pathogenic fungi viz. Alternaria alternata (Fr.) Keissl., Botrytis cinerea Pers., and Penicillium digitatum (Pers.) Sacc.

2. Materials and methods

2.1. Sample Collection and Isolation

2.1.1. Sample Collection

Fresh samples of A. sinensis were collected three times; i.e., two times in Yunnan Province (21°55′48″ N, 101°15′36″ E, in November 2020; 22°21′09″ N, 101°01′06″ E, in September 2021) and one time in Guangdong Province (21°49′48″ N, 111°40′12″ E, in December 2020). Samples from Yunnan Province are denoted YNA, while from Guangdong Province are denoted GDA. The leaves and twigs of healthy plants, and the branches and twigs with agarwood dark resin were collected. Branch cutters, knives, and saws were used to cut the samples and they were cleaned with 75% alcohol before and after use. After collection, the fresh samples were placed in a thermal insulation ice box, brought back to the laboratory, and placed in the 4 °C refrigerators until the endophytic fungi are isolated.

2.1.2. Isolation of Endophytic Fungi

Du et al. [14] with some adjustments was followed for the isolation of endophytic fungi in fresh agarwood samples. The bark of fresh samples was removed and then washed under running water, transferred to a laminar flow hood and the samples were cut into small pieces (0.5 cm × 0.5 cm) by sterilized knives and blades (sterilized with 75% alcohol). The surface disinfection steps of each sample are washed in sterile water, 75% alcohol for 30 s, 2.5% sodium hypochlorite for 1 min, and 75% alcohol for 30 s, finally, samples were washed in sterile water three times, and transferred to the sterilized filter paper to absorb the water. All tools were dipped in 95% alcohol and flamed before and after use. All the steps were done in a laminar flow hood. Five sterilized small pieces were placed in each 90 mm potato dextrose agar (PDA) plate (Ampicillin was added), and incubated at 28 °C for 14 days. During incubation, plates were checked every two days and the fresh mycelia were transferred to new 60 mm PDA plates to get pure cultures. The pure cultures were used for DNA extraction. Living pure cultures were deposited in the Zhongkai University of Agriculture and Engineering Culture Collection (ZHKUCC), China.

2.2. Endophytic Fungi Identification

2.2.1. DNA Extraction, PCR Amplification and Sequencing

Ten days old fresh mycelia were used for DNA extraction using the Biospin Fungus Genomic DNA Extraction Kit–BSC14S1 (BioFlux, Hangzhou, China), following the manufacturer’s instructions [15]. Polymerase chain reaction (PCR) was used to amplify the ITS gene (internal transcribed spacer 1, 5.8S ribosomal RNA gene and internal transcribed spacer 2), using primers ITS5/ITS4 [16]. The PCR amplification was followed Du et al. [17], and the total volume of PCR mixtures for amplifications was 25 μL, with 94 °C: 3 min, (94 °C: 30 s, 55 °C: 50 s, 72 °C: 90 s) × 35 cycles, 72 °C: 10 min, final 4 °C. Finally, PCR products were purified and sequenced by Qinke Biotech Co., Kunming, China.

2.2.2. Phylogenetic Analyses

Phylogenetic analyses are widely used in the identification of endophytic fungi, and the ITS gene is commonly used to primarily identify endophytic fungi to genus level [18,19,20,21,22]. In this study, to confirm the endophytic fungal genera, the ITS phylogenetic analyses were performed by Randomized Accelerated Maximum Likelihood (RAxML) analyses according to the parameters described in Dissanayake et al. [15]. The obtained sequences of the forward and reverse were merged in Geneious (9.1.2), and the merged sequences were subjected to BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastSearch, accessed on 18 September 2022). Based on the BLAST search, the closest sequences were retrieved from the aNationl Center for Biotechnology Information (NCBI) (https://www.ncbi.nlm.nih.gov/, accessed on 18 September 2022). The sequences were aligned in the online website MAFFT v.7 (https://mafft.cbrc.jp/alignment/server/, accessed on 18 September 2022) [23], and automatic cutting was done in trimAl.v1.2rev59. BioEdit v. 7.0.5.2 [24] was used to manually combine the sequences, and subsequently, multiple sequence alignments were converted from FASTA to PHYLIP in ALTER (http://www.sing-group.org/ALTER/, accessed on 18 September 2022) [25]. The RAxML tree was run using the PHYLIP file, in RAxML-HPC BlackBox (8.2.12) [26,27] on the CIPRES Science Gateway platform (https://www.phylo.org/portal2/home.action, accessed on 18 September 2022) [28], with the GTR+I+G model of evolution. The final tree was visualized in FigTree v. 1.4.2 (http://tree.bio.ed.ac.uk/software/figtree/, accessed on 18 September 2022) [29], and edited in Microsoft PowerPoint 2010. The sequences generated in this study were uploaded to NCBI (https://submit.ncbi.nlm.nih.gov/subs/, accessed on 18 September 2022) to obtain the GenBank numbers (Table 1).

2.3. Pre Dual Culture Assay for Antibiosis Test (Pretest)

The ability of endophytic fungal isolates to inhibit the growth of pathogens was evaluated by the dual culture technique [30]. The six pathogens (three bacterial pathogens viz. E. amylovora, P. syringae, and S. enterica; and three fungal pathogens viz. A. alternata, B. cinerea, and P. digitatum) used in this study were obtained from the China General Microbiological Culture Collection Center (CGMCC).
The pretest is a screening test conducted before the formal test. We used 47 strains from all isolated strains for the pretest. The 47 endophytic fungi strains and six pathogenic strains (Table 2) were incubated at 28 °C for 10 days before the test. Fungi were cultivated on PDA, while bacteria were cultivated in nutrient agar (NA). After 10 days of incubation, the fungal colonies were cut into 0.4 cm diameter discs (sterilized plastic straw) in the laminar flow cabinet, then endophytic fungi and pathogenic fungi were inoculated in the same 90 mm PDA plates, and endophytic fungi and pathogenic bacteria (bacteria scraped with 0.4 cm wide strip) were inoculated in the same 90 mm NA plates. The control was inoculated with only pathogens. All the plates were incubated at 28 °C for 10 days. After 10 days, the colony growth of the test group and the control group were checked and recorded. According to the test results, we compared the colony diameters of the test group and the control group, and then endophytic fungi that can inhibit three pathogenic fungi or three pathogenic bacteria were selected. These selected strains with antagonistic activities were used for formal testing.

2.4. Dual Culture Assay for Antibiosis Test (Formal Test)

2.4.1. Methods of Dual Culture Assay

The test method is similar to the pretest. According to the results of the pretest, among 47 endophytic fungi, 25 strains were able to inhibit pathogenic bacteria, 40 strains were able to inhibit pathogenic fungi, and 18 strains were able to inhibit both pathogenic fungi and bacteria. Therefore, 47 endophytes and six pathogens were incubated at 28 °C for 10 days before the formal test. Fungi were incubated on PDA, while bacteria were incubated in NA.
The endophytic and pathogenic fungi grown on PDA plates were cut into small fungal discs (0.4 cm diam.) using a sterilized plastic straw in laminar. Then, the 25 selected endophytic fungal strains were inoculated with three pathogenic bacteria (0.4 cm wide strip) in the same NA plates, and each test was replicated three times (total of 25 × 3 × 3 = 225 plates). The 40 selected endophytic strains were inoculated with three pathogenic fungi in the same PDA plates, and each test was replicated three times (total of 40 × 3 × 3 = 360 plates). The pathogens were inoculated on the left of the petri dish, while the endophytic fungi were inoculated on the right by keeping a space of 6 cm between the pathogens and endophytes. Negative controls were set in the antibiosis tests of each pathogen. The control group used the same culture medium as the test group. The pathogen was inoculated on the left of the medium, while nothing was inoculated on the right. Controls were incubated under the same conditions as the test groups. After inoculation, petri dishes were incubated at 28 °C for 10 days. While incubating, they were observed, photographed and the diameter of the pathogens in the test group and the control group was measured every two days.

2.4.2. Calculation and Analysis of Inhibition Rate

According to the test results, the data were processed and analyzed. The antibiosis effects and the degree of endophytic fungi effect on pathogens can be expressed by calculating the inhibition rate of endophytic fungi on the growth diameter of pathogens. The inhibition rate was calculated according to the method described in Gao et al. [58] and Rajani et al. [59], and the calculation formula used is as follows:
Inhibition% = (Cd − Td)/(Cd − 0.4) × 100
Notes: Cd = radial growth of the pathogen in pure control culture, Td = radial growth of the pathogen in dual culture. The width of the original fungal discs and bacterial strip in this test is 0.4 cm.

2.4.3. Statistical Analyses

The statistical analyses of the inhibition rate were carried out in Microsoft Excel 2010. The measured data (colony diameter) were recorded in an excel table. The inhibition rate and average inhibition rate were obtained by the formula. The standard deviation (SD) reflects the dispersion degree of a data set, and the values were obtained by inserting the function (STDEV) of standard deviation into the excel table. In addition, clustered column graphs were inserted in the excel table based on the average inhibition rate and edited in Microsoft Excel 2010.

3. Results

3.1. Results of Sample Collection and Isolation

In this study, agarwood samples were collected from Guangdong and Yunnan Provinces. The fresh samples were isolated to obtain pure cultures for molecular analyses and antibiosis tests. Figure S1 shows the culture morphologies of 47 endophytic fungi strains, and in Table 1, we list the host, collection site, and other information of 47 endophytic fungi used in this study.

3.2. Single Gene Phylogenetic Analyses

The single-gene phylogenetic analyses were carried out by constructing an RAxML phylogenetic tree based on ITS. The RAxML analyses gave a final ML optimization likelihood value of −12,190.561600. The matrix had 567 distinct alignment patterns, with 19.72% of undetermined characters or gaps. Parameters for the GTR+I+G model of the ITS were as follows: estimated base frequencies A = 0.249972, C = 0.260278, G = 0.245555, T = 0.244194; substitution rates AC = 1.190651, AG = 3.363586, AT = 2.316682, CG = 1.153165, CT = 3.693909, GT = 1.000000; proportion of invariable sites I = 0.105968; and gamma distribution shape parameter α = 0.446892.
The final RAxML tree is shown in Figure 1. The 47 strains are distributed in four classes in Ascomycota, viz. Dothideomycetes, Eurotiomycetes, Saccharomycetes, and Sordariomycetes. According to the BLAST results and phylogenetic analyses, 46 strains were identified at the genus level, and they belong to 18 genera. While one of our strains (GDA-2B15) is closest to two strains of Xylariaceae viz. (CHTAE14) and (PB-85), therefore, GDA-2B15 was identified as a member of Xylariaceae in this paper.
The results can be summarized as 47 endophytic fungi strains belong to Ascomycota Caval.-Sm., of which 30 strains belong to Sordariomycetes O.E. Erikss. & Winka (63.83%), 14 strains belong to Dothideomycetes O.E. Erikss. & Winka (29.79%), two strains belong to Eurotiomycetes O.E. Erikss. & Winka (4.26%), and one strain belongs to Saccharomycetes G. Winter (2.13%).

3.3. Dual Culture Assay for Antibiosis Test (Pretest)

A total of 47 endophytic fungi strains were tested on six pathogens under the same conditions. The results showed that 18 strains had inhibitory effects on all six pathogens, seven strains had inhibitory effects on all three pathogenic bacteria, and 22 strains had inhibitory effects on all three pathogenic fungi. Therefore, 25 strains had inhibitory effects on all three pathogenic bacteria, and 40 strains had inhibitory effects on all three pathogenic fungi. Therefore, 25 strains and 40 strains were used to conduct formal tests on three pathogenic bacteria and three pathogenic fungi respectively.

3.4. Dual Culture Assay for Antibiosis Test (Formal Test)

Through the results of the pretest, we carried out the formal test with the selected strains (25 endophytic fungi for pathogenic bacteria, and 40 endophytic fungi for pathogenic fungi) By calculating the inhibition rate through the formula, the strains whose inhibition rate was more than 60% were considered to have an inhibition effect, and the results recorded in Table 3 and only Lasiodiplodia sp.(YNA-D3) can inhibit all six pathogens, and its inhibition rate to pathogenic fungi is higher than bacteria pathogens (Inhibition rate: 93.30% to PF2-B. cinerea, 76.73% to PF3-P. digitatum, 75.90% to PF1-A. alternata, 74.07% to PB2-P. syringae, 63.33% to PB3-S. enterica, 63.64% to PB1-E. amylovora). Figure 2 shows the pictures of several endophytic fungi with significant inhibition rates to pathogens in the dual culture assay.

3.4.1. Inhibition of 25 Endophytic Fungi on Three Pathogenic Bacteria

The inhibitory effect (≥60%) of 25 endophytic fungi on pathogenic bacteria is shown in Figure 3 and Table 3, and the inhibitory effect is ranked as E. amylovora (CGMCC 1.7276) > P. syringae (CGMCC 1.3333) > S. enterica (CGMCC 1.10603). For S. enterica (CGMCC 1.10603), there is almost no inhibitory effect.
For PB1-E. amylovora (CGMCC 1.7276), eight strains showed inhibitory effects (Table 3 and Figure 3), and the three strains with the highest inhibition rate are Curvularia sp. (GDA-3A9, 86.36%), Lasiodiplodia sp. (GDA-1A7, 86.36%), and Fusarium sp. (YNA-2C3, 81.82%). Among the eight strains, the genus Lasiodiplodia Ellis & Everh. has the highest number of strains (five strains).
For PB2-P. syringae (CGMCC 1.3333), nine strains showed inhibitory effects (Table 3 and Figure 3), and the three strains with the highest inhibition rate are Curvularia sp. (GDA-3A9, 74.07%), Lasiodiplodia sp. (YNA-D3, 74.07%), and Lasiodiplodia sp. (YNA-1C2, 70.37%). Among the nine strains, the genus Lasiodiplodia has the largest number of strains (three strains).
For PB3-S. enterica (CGMCC 1.10603), three strains showed inhibitory effects (Table 3 and Figure 3), and Lasiodiplodia sp. (YNA-D3, 63.33%) had the strongest inhibitory effect, followed by Lasiodiplodia sp. (GDA-2A9, 60.00%), and Trichoderma sp. (YNA-1C1, 60.00%). Among the three strains, the genus Lasiodiplodia has the largest number of strains (two strains).

3.4.2. Inhibition of 40 Endophytic Fungi on Three Pathogenic Fungi

The inhibitory effect (≥60%) of 40 endophytic fungi on pathogenic fungi shows some good results in Figure 4 and Table 3, and the inhibitory effect is ranked as B. cinerea (CGMCC 3.3790) > P. digitatum (CGMCC 3.15410) > A. alternata (CGMCC 3.15535).
For PF1-A. alternata (CGMCC 3.15535), 18 strains showed inhibitory effects (Table 3 and Figure 4), among them, the three strains with the highest inhibition rate are Curvularia sp. (GDA-3A9, 77.07%), Trichoderma sp. (YNA-1C1, 77.07%), and Lasiodiplodia sp. (YNA-D3, 75.90%). Among the 18 strains, the genus Lasiodiplodia has the largest number of strains (six strains).
For PF2-B. cinerea (CGMCC 3.3790), 36 strains showed inhibitory effects (Table 3 and Figure 4), among them, the three strains with the highest inhibition rate are Lasiodiplodia sp. (GDA-3C2, 93.30%), Lasiodiplodia sp. (YNA-D3, 93.30%), and Lasiodiplodia sp. (GDA-2B1, 93.30%). Among the 36 strains, the genus Lasiodiplodia has the largest number of strains (six strains).
For PF3-P. digitatum (CGMCC 3.15410), 38 strains showed inhibitory effects (Table 3 and Figure 4), among them, the three strains with the highest inhibition rate are Diaporthe sp. (GDA-2A1, 79.87%), Lasiodiplodia sp. (GDA-1A7, 79.25%), and Lasiodiplodia sp. (GDA-2A9, 78.62%). Among the 38 strains, the genus Lasiodiplodia has the largest number of strains (six strains).
To sum up, the endophytic fungi used in this test have a good inhibitory effect on PF2-B. cinerea (CGMCC 3.3790), which can reach a 93.30% inhibition rate, however, for PB3-S. enterica (CGMCC 1.10603), there was almost no inhibitory effect, and the highest inhibitory rate was 63.33%. Among the inhibition results of endophytic fungi on these six pathogens, it can be seen that most fungi with inhibitory effect belong to the genus Lasiodiplodia, and Lasiodiplodia sp. (YNA-D3) showed the best inhibition effect on pathogens (anti-PB1 63.47%, anti-PB2 74.07%, anti-PB3 63.33%, anti-PF1 75.90%, anti-PF2 93.30%, and anti-PF3 76.73%).

4. Discussion

The 47 endophytic fungal strains isolated from agarwood were tested against six bacterial and fungal pathogens. The reasons for selecting these six pathogens are: few studies have been carried out on the pathogens of A. sinensis trees, thus no pathogenic strains of A. sinensis are available to be used, and these six pathogens can cause severe damages, their hosts and distribution are very wide and common [42,48,53,55].
The results of the dual culture assay showed that 40 endophytic fungi strains with antimicrobial activities out of 47 strains belong to 18 genera viz. Alternaria Nees, Annulohypoxylon Y.M. Ju, J.D. Rogers & H.M. Hsieh, Aspergillus P. Micheli ex Haller, Botryosphaeria Ces. & De Not., Colletotrichum Corda, Corynespora Güssow, Curvularia Boedijn, Daldinia Ces. & De Not., Diaporthe Nitschke, Fusarium Link, Lasiodiplodia, Neofusicoccum Crous, Slippers & A.J.L. Phillips, Neopestalotiopsis Maharachch., K.D. Hyde & Crous, Nigrospora Zimm., Paracamarosporium Wijayaw. & K.D. Hyde, Pseudopithomyces Ariyaw. & K.D. Hyde, Trichoderma Pers., and Trichosporon Behrend while one strain was identified as Xylariaceae Tul. & C. Tul., while their inhibitory effects on different pathogens were identified as different (Table 3). Among them, the strains of six genera (Curvularia, Diaporthe, Lasiodiplodia, Neofusicoccum, Nigrospora, and Trichoderma) showed relatively significant inhibition effects (Table 3) and the most significant of which is Lasiodiplodia sp. (YNA-D3), which can inhibit all six pathogens.
In previous studies, some agarwood endophytic fungal strains have been shown to have antimicrobial properties that are consistent with our results viz. Botryosphaeria rhodina [12], Colletotrichum sp. [12], Diaporthe sp. [60], Fusarium equiseti (Corda) Sacc. [61], F. oxysporum [12,61], F. solani (Mart.) Sacc. [61], F. verticillioides (Sacc.) Nirenberg [62], Lasiodiplodia theobromae (Pat.) Griffon & Maubl. [61], and Xylaria mali Fromme [63].
In addition, in this study, this is the first time that 13 genera of agarwood endophytic fungi are reported for antimicrobial activities viz. Alternaria, Annulohypoxylon, Aspergillus, Corynespora, Curvularia, Daldinia, Neofusicoccum, Neopestalotiopsis, Nigrospora, Paracamarosporium, Pseudopithomyces, Trichoderma, and Trichosporon. At the same time, nine genera viz. Alternaria, Annulohypoxylon, Corynespora, Daldinia, Neofusicoccum, Neopestalotiopsis, Paracamarosporium, Pseudopithomyces, and Trichosporon were reported as endophytic fungi of agarwood for the first time.
In this study, some potential fungal strains that can be used as biocontrol agents were screened (Table 3). Botrytis cinerea (CGMCC 3.3790) is one of the most destructive pathogens with a large number of hosts [53]. This pathogen is resistant to commonly used synthetic fungicides, so it is necessary to carry out more research on biological control strategies [53,54]. In this study, strains of the five genera viz. Curvularia sp., Lasiodiplodia sp., Neofusicoccum sp., Nigrospora sp., and Trichoderma sp. with inhibition rates to B. cinerea (CGMCC 3.3790) more than 90% were identified. These strains have the potential to be developed into fungicides against B. cinerea (CGMCC 3.3790).
In conclusion, this study enriches the diversity of the endophytic fungi of agarwood and their antagonistic potential against bacterial and fungal pathogens. The most significant fungal strain is Lasiodiplodia YNA-D3 which can inhibit all pathogens and needs further studies to identify and analyze its secondary metabolites with antimicrobial effects. In addition, in-depth studies on the endophytic fungi associated with agarwood are needed to develop effective biocontrol agents.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof8111197/s1, Figure S1: Culture morphologies of 47 endophytic fungal strains obtained in this study (after 10 days on PDA).

Author Contributions

Conceptualization, S.C.K. and S.T.; Data curation, T.-Y.D.; Formal analysis, T.-Y.D.; Funding acquisition, S.C.K., D.-Q.D., N.S., J.-C.X., A.M.E., S.A.-R. and S.T.; Methodology, T.-Y.D. and X.Z.; Software, T.-Y.D.; Supervision, S.C.K. and S.T.; Writing–original draft, T.-Y.D.; Writing–review & editing, S.C.K., X.Z., D.-Q.D., A.M., N.S., J.-C.X., S.L.S., A.M.E., S.A.-R. and S.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number NSFC 31760013, 31950410558, 32260004, High-Level Talent Recruitment Plan of Yunnan Provinces (“Young Talents” Program). The authors extend their appreciation to project number (RSP-2021/120), King Saud University, Riyadh, Saudi Arabia and Chiang Mai University for financial support.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We are grateful to Li Lu and Er-Fu Yang for their help. Tian-Ye Du thanks Mae Fah Luang University for the award of fee-less scholarship. Nakarin Suwannarach thanks Chiang Mai University, Thailand.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. The IUCN Red List of Threatened Species. Version 2017-3. Available online: www.Iucnredlist.org (accessed on 10 October 2022).
  2. Kalra, R.; Kaushik, N. A review of chemistry, quality and analysis of infected agarwood tree (Aquilaria sp.). Phytochem. Rev. 2017, 16, 1045–1079. [Google Scholar] [CrossRef]
  3. Naziz, P.S.; Das, R.; Sen, S. The scent of stress: Evidence from the unique fragrance of agarwood. Front. Plant Sci. 2019, 10, 840. [Google Scholar] [CrossRef] [PubMed]
  4. Azren, P.D.; Lee, S.Y.; Emang, D.; Mohamed, R. History and perspectives of induction technology for agarwood production from cultivated Aquilaria in Asia: A review. J. For. Res. 2018, 30, 1–11. [Google Scholar] [CrossRef]
  5. Lv, F.F.; Li, S.S.; Feng, J.; Liu, P.W.; Gao, Z.H.; Yang, Y.; Xu, Y.H.; Wei, J.H. Hydrogen peroxide burst triggers accumulation of jasmonates and salicylic acid inducing sesquiterpene biosynthesis in wounded Aquilaria sinesis. J. Plant Physiol. 2019, 234–235, 167–175. [Google Scholar] [CrossRef]
  6. Rasool, S.; Mohamed, R. Understanding agarwood formation and its challenges. In Agarwood; Mohamed, R., Ed.; Tropical Forestry; Springer: Berlin/Heidelberg, Germany; Singapore, 2016; pp. 39–56, Chapter 3. [Google Scholar] [CrossRef]
  7. Cui, J.L.; Guo, S.X.; Fu, S.B.; Xiao, P.G.; Wang, M.L. Effects of inoculating fungi on agilawood formation in Aquilaria sinensis. Sci. Bull. 2013, 58, 3280–3287. [Google Scholar] [CrossRef] [Green Version]
  8. National Pharmacopoeia Committee. Pharmacopoeia of the People’s Republic of China; 2015 Version; Chinese Medical Science and Technology Press: Beijing, China, 2015; Volume 1, pp. 185–186. [Google Scholar]
  9. Du, T.Y.; Dao, C.J.; Mapook, A.; Stephenson, S.L.; Elgorban, A.M.; Al-Rejaie, S.; Suwannarach, N.; Karunarathna, S.C.; Tibpromma, S. Diversity and biosynthetic activities of agarwood associated fungi. Diversity 2022, 14, 211. [Google Scholar] [CrossRef]
  10. Tibpromma, S.; Zhang, L.; Karunarathna, S.C.; Du, T.Y.; Wang, Y.H. Volatile constituents of endophytic fungi isolated from Aquilaria sinensis with descriptions of two new species of Nemania. Life 2021, 11, 363. [Google Scholar] [CrossRef]
  11. Hidayat, A.; Turjaman, M.; Faulina, S.A.; Ridwan, F.; Aryanto, A.; Najmulah, N.; Irawadi, T.T.; Iswanto, A.H. Antioxidant and antifungal activity of endophytic fungi associated with agarwood trees. J. Korean Wood Sci. Technol. 2019, 47, 459–471. [Google Scholar] [CrossRef]
  12. Gong, L.; Guo, S. Endophytic fungi from Dracaena cambodiana and Aquilaria sinensis and their antimicrobial activity. Afri. J. Biotechnol. 2009, 8, 731–736. [Google Scholar] [CrossRef]
  13. Wang, S.; Yu, Z.X.; Wang, C.H.; Wu, C.M.; Guo, P.; Wei, J.H. Chemical constituents and pharmacological activity of agarwood and Aquilaria plants. Molecules 2018, 23, 342. [Google Scholar] [CrossRef] [Green Version]
  14. Du, T.Y.; Karunarathna, S.C.; Hyde, K.D.; Mapook, A.; Wariss, H.M.; Aluthwattha, S.T.; Wang, Y.H.; Mortimer, P.E.; Xu, J.C.; Tibpromma, S. The endophytic fungi of Aquilaria sinensis from southern China. Fungal Biotec 2022, 2, 1–15. [Google Scholar] [CrossRef]
  15. Dissanayake, A.J.; Bhunjun, C.S.; Maharachchikumbura, S.S.N.; Liu, J.K. Applied aspects of methods to infer phylogenetic relationships amongst fungi. Mycosphere 2020, 11, 2652–2676. [Google Scholar] [CrossRef]
  16. White, T.J.; Bruns, T.; Lee, S.J.W.T.; Taylor, J.L. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In PCR protocols, a Guide to Methods and Applications; Academic Press: San Diego, CA, USA, 1990; Volume 18, pp. 315–322. [Google Scholar]
  17. Du, T.Y.; Hyde, K.D.; Mapook, A.; Mortimer, P.E.; Xu, J.C.; Karunarathna, S.C.; Tibpromma, S. Morphology and phylogenetic analyses reveal Montagnula puerensis sp. nov. (Didymosphaeriaceae, Pleosporales) from southwest China. Phytotaxa 2021, 514, 001–025. [Google Scholar] [CrossRef]
  18. Ko, T.W.K.; Stephenson, S.L.; Bahkali, A.H.; Hyde, K.D. From morphology to molecular biology: Can we use sequence data to identify fungal endophytes? Fungal Divers. 2011, 50, 113–120. [Google Scholar] [CrossRef]
  19. Guo, L.D.; Huang, G.R.; Wang, Y.; He, W.H.; Zheng, W.H.; Hyde, K.D. Molecular identification of white morphotype strains of endophytic fungi from Pinus tabulaeformis. Mycol. Res. 2003, 107, 680–688. [Google Scholar] [CrossRef]
  20. Guo, L.D.; Hyde, K.D.; Liew, E.C.Y. Detection and taxonomic placement of endophytic fungi within frond tissues of Livistona chinensis based on rDNA sequences. Mol. Phylogenet. Evol. 2001, 20, 1–13. [Google Scholar] [CrossRef]
  21. Tibpromma, S.; Hyde, K.D.; Bhat, J.D.; Mortimer, P.E.; Xu, J.; Promputtha, I.; Doilom, M.; Yang, J.; Tang, A.M.C.; Karunarathna, S.C. Identification of endophytic fungi from leaves of Pandanaceae based on their morphotypes and DNA sequence data from southern Thailand. MycoKeys 2018, 33, 25. [Google Scholar] [CrossRef] [Green Version]
  22. Tibpromma, S.; Karunarathna, S.C.; Bhat, J.D.; Suwannarach, N.; Stephenson, S.L.; Elgorban, A.M.; Al-Rejaie, S.; Xu, J.; Mortimer, P.E. Using culture-dependent and molecular techniques to identify endophytic fungi associated with tea leaves (Camellia spp.) in Yunnan Province, China. Diversity 2022, 14, 287. [Google Scholar] [CrossRef]
  23. Katoh, K.; Standley, D.M. MAFFT multiple sequence alignment software version 7, improvements in performance and usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef]
  24. Hall, T.A. BioEdit, a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp. Ser. 1999, 41, 95–98. [Google Scholar]
  25. Glez-Peña, D.; Gómez-Blanco, D.; Reboiro-Jato, M.; Fdez-Riverola, F.; Posada, D. ALTER, program-oriented conversion of DNA and protein alignments. Nucleic Acids Res. 2010, 38, 14–18. [Google Scholar] [CrossRef] [PubMed]
  26. Stamatakis, A. RAxML version 8, a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014, 30, 1312–1313. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Stamatakis, A.; Hoover, P.; Rougemont, J. A rapid bootstrap algorithm for the RAxML web servers. Syst. Biol. 2008, 57, 758–771. [Google Scholar] [CrossRef] [PubMed]
  28. Miller, M.A.; Pfeiffer, W.; Schwartz, T. Creating the CIPRES Science Gateway for inference of large phylogenetic trees. In 2010 Gateway Computing Environments Workshop (GCE); IEEE Computer Society: New Orleans, LA, USA, 2010; pp. 1–8. [Google Scholar]
  29. Rambaut, A. 2012—FigTree version 1.4; University of Edinburgh: Edinburgh, Scotland, 2012. [Google Scholar]
  30. Rahman, M.A.; Begum, M.F.; Alam, M.F. Screening of Trichoderma isolates as a biological control agent against Ceratocystis paradoxa causing pineapple disease of sugarcane. Mycobiology 2009, 37, 277–285. [Google Scholar] [CrossRef] [Green Version]
  31. Bonn, W.G.; van der Zwet, T. Distribution and economic importance of fire blight. In Fire Blight: The Disease and Its Causative Agent, Erwinia amylovora; Vanneste, J.L., Ed.; CAB International: Wallingford, CT, USA, 2000; pp. 37–53. [Google Scholar] [CrossRef]
  32. Thomson, S.V. Epidemiology of fire blight. In Fire Blight: The Disease and Its Causative Agent, Erwinia amylovora; Vanneste, J.L., Ed.; CAB International: Wallingford, UK, 2000; pp. 9–36. [Google Scholar] [CrossRef]
  33. Vanneste, J.L. Fire blight: The disease and its causative agent, Erwinia amylovora; CABI Publishing: Oxfordshire, UK, 2000. [Google Scholar] [CrossRef]
  34. Oh, C.S.; Beer, S.V. Molecular genetics of Erwinia amylovora involved in the development of fire blight. FEMS Microbiol. Lett. 2005, 253, 185–192. [Google Scholar] [CrossRef] [Green Version]
  35. Van der Zwet, T.; Orolaza-Halbrendt, N.; Zeller, W. Fire Blight: History, Biology, and Management; APS Press: St. Paul, MN, USA, 2012. [Google Scholar] [CrossRef]
  36. Born, Y.; Fieseler, L.; Klumpp, J.; Eugster, M.R.; Zurfluh, K.; Duffy, B.; Loessner, M.J. The tail-associated depolymerase of Erwinia amylovora phage L1 mediates host cell adsorption and enzymatic capsule removal, which can enhance infection by other phage. Environ. Microbiol. 2014, 16, 2168–2180. [Google Scholar] [CrossRef]
  37. Piqué, N.; Miñana-Galbis, D.; Merino, S.; Tomás, J.M. Virulence factors of Erwinia amylovora: A review. Int. J. Mol. Sci. 2015, 16, 12836–12854. [Google Scholar] [CrossRef] [Green Version]
  38. Kharadi, R.R.; Schachterle, J.K.; Yuan, X.; Castiblanco, L.F.; Peng, J.; Slack, S.M.; Zeng, Q.; Sundin, G.W. Genetic dissection of the Erwinia amylovora disease cycle. Annu. Rev. Phyt. 2021, 59, 191–212. [Google Scholar] [CrossRef]
  39. Horst, R.K. Westcott’s Plant Disease Handbook, 5th ed.; Chapman & Hall: New York, NY, USA, 1990. [Google Scholar] [CrossRef]
  40. Hwang, M.S.; Morgan, R.L.; Sarkar, S.F.; Wang, P.W.; Guttman, D.S. Phylogenetic characterization of virulence and resistance phenotypes of Pseudomonas syringae. Appl. Environ. Microb. 2005, 71, 5182–5191. [Google Scholar] [CrossRef] [Green Version]
  41. Kennelly, M.M.; Cazorla, F.M.; de Vicente, A.; Ramos, C.; Sundin, G.W. Pseudomonas syringae diseases of fruit trees: Progress toward understanding and control. Plant Dis. 2007, 91, 4–17. [Google Scholar] [CrossRef] [Green Version]
  42. Schwartz, K.J. Salmonellosis in swine. Compend Contin. Educ. Pract. Vet 1991, 13, 139–146. [Google Scholar] [CrossRef]
  43. Rice, D.H.; Besser, T.E.; Hancock, D.D. Epidemiology andvirulence assessment of Salmonella dublin. Vet Microbiol. 1997, 56, 111–124. [Google Scholar] [CrossRef]
  44. Uzzau, S.; Brown, D.J.; Wallis, T.; Rubino, S.; Leori, G.; Bernard, S.; Casadesús, J.; Platt, D.J.; Olsen, J.E. Host adapted serotypes of Salmonella enterica. Epidemiol Infect 2000, 125, 229–255. [Google Scholar] [CrossRef] [PubMed]
  45. Knodler, L.A.; Elfenbein, J.R. Salmonella enterica . Trends Microbiol. 2019, 27, 964–965. [Google Scholar] [CrossRef] [PubMed]
  46. Patra, S.D.; Mohakud, N.K.; Panda, R.K.; Sahu, B.R.; Suar, M. Prevalence and multidrug resistance in Salmonella enterica Typhimurium: An overview in South East Asia. World J. Microb. Biot. 2021, 37, 1–17. [Google Scholar] [CrossRef] [PubMed]
  47. Twaroch, T.E.; Curin, M.; Valenta, R.; Swoboda, I. Mold allergens in respiratory allergy: From structure to therapy. Allergy Asthma Immunol. Res. 2015, 7, 205–220. [Google Scholar] [CrossRef] [Green Version]
  48. Woudenberg, J.H.C.; Seidl, M.F.; Groenewald, J.Z.; de Vries, M.; Stielow, J.B.; Thomma, B.P.H.J.; Crous, P.W. Alternaria section Alternaria: Species, formae speciales or pathotypes? Stud. Mycol. 2015, 82, 1–21. [Google Scholar] [CrossRef] [Green Version]
  49. Gabriel, M.F.; Postigo, I.; Tomaz, C.T.; Martínez, J. Alternaria alternata allergens: Markers of exposure, phylogeny and risk of fungi-induced respiratory allergy. Environ. Int. 2016, 89–90, 71–80. [Google Scholar] [CrossRef]
  50. Lawrence, D.P.; Rotondo, F.; Gannibal, P.B. Biodiversity and taxonomy of the pleomorphic genus Alternaria. Mycol. Prog. 2016, 15, 3. [Google Scholar] [CrossRef]
  51. Wang, R.; Zhao, P.; Ge, X.; Tian, P. Overview of Alternaria alternata Membrane Proteins. Indian J. Microbiol. 2020, 60, 269–282. [Google Scholar] [CrossRef]
  52. Sánchez, P.; Vélez-del-Burgo, A.; Suñén, E.; Martínez, J.; Postigo, I. Fungal Allergen and Mold Allergy Diagnosis: Role and Relevance of Alternaria alternata Alt a 1 Protein Family. J. Fungi 2022, 8, 277. [Google Scholar] [CrossRef] [PubMed]
  53. Abbey, J.A.; Percival, D.; Abbey, L.; Asiedu, S.K.; Prithiviraj, B.; Schilder, A. Biofungicides as alternative to synthetic fungicide control of grey mould (Botrytis cinerea)–prospects and challenges. Biocontrol Sci. Techn. 2019, 29, 207–228. [Google Scholar] [CrossRef]
  54. Bolívar-Anillo, H.J.; Garrido, C.; Collado, I.G. Endophytic microorganisms for biocontrol of the phytopathogenic fungus Botrytis cinerea. Phytochem. Rev. 2020, 19, 721–740. [Google Scholar] [CrossRef]
  55. Poppe, L.; Vanhoutte, S.; Höfte, M. Modes of action of Pantoea agglomerans CPA-2, an antagonist of postharvest pathogens on fruits. Eur. J. Plant Pathol. 2003, 109, 963–973. [Google Scholar] [CrossRef]
  56. Ghooshkhaneh, N.G.; Golzarian, M.R.; Mamarabadi, M. Detection and classification of citrus green mold caused by Penicillium digitatum using multispectral imaging. J. Sci. Food Agric. 2018, 98, 3542–3550. [Google Scholar] [CrossRef] [PubMed]
  57. Costa, J.H.; Bazioli, J.M.; de Moraes Pontes, J.G.; Fill, T.P. Penicillium digitatum infection mechanisms in citrus: What do we know so far? Fungal Biol. UK 2019, 123, 584–593. [Google Scholar] [CrossRef] [PubMed]
  58. Gao, Z.; Zhang, B.; Liu, H.; Han, J.; Zhang, Y. Identification of endophytic Bacillus velezensis ZSY-1 strain and antifungal activity of its volatile compounds against Alternaria solani and Botrytis cinerea. Biol. Control 2017, 105, 27–39. [Google Scholar] [CrossRef]
  59. Rajani, P.; Rajasekaran, C.; Vasanthakumari, M.M.; Olsson, S.B.; Ravikanth, G.; Shaanker, R.U. Inhibition of plant pathogenic fungi by endophytic Trichoderma spp. through mycoparasitism and volatile organic compounds. Microbiol. Res. 2021, 242, 126595. [Google Scholar] [CrossRef] [PubMed]
  60. Monggoot, S.; Popluechai, S.; Gentekaki, E.; Pripdeevech, P. Fungal endophytes: An alternative source for production of Volatile compounds from agarwood oil of Aquilaria subintegra. Microb. Ecol. 2017, 74, 54–61. [Google Scholar] [CrossRef]
  61. Cui, J.L.; Guo, S.X.; Xiao, P.G. Antitumor and antimicrobial activities of endophytic fungi from medicinal parts of Aquilaria sinensis. J. Zhejiang Univ.-Sci. B (Biomed. Biotechnol.) 2011, 12, 385–392. [Google Scholar] [CrossRef] [Green Version]
  62. Chi, H.K.; Cuong, L.H.; Hang, T.T.N.; Luyen, N.D.; Huong, L.M. Biological characterization of fungal endophytes isolated from agarwood tree Aquilaria crassna pierre ex lecomte. Vietnam. J. Biotechnol. 2016, 14, 149–156. [Google Scholar] [CrossRef] [Green Version]
  63. Tian, J.J.; Gao, X.X.; Zhang, W.M.; Wang, L.; Qu, L.H. Molecular identification of endophytic fungi from Aquilaria sinensis and artificial agarwood induced by pinholes-infusion technique. Afr. J. Biotechnol. 2013, 12, 3115–3131. [Google Scholar] [CrossRef]
Figure 1. A RAxML single gene phylogenetic tree of 47 endophytic fungi strains and their related sequences based on ITS. Bootstrap support values for maximum likelihood (ML) equal to or higher than 50% are indicated above the branches. The endophytic fungi with original strain numbers isolated in this study are marked with red font.
Figure 1. A RAxML single gene phylogenetic tree of 47 endophytic fungi strains and their related sequences based on ITS. Bootstrap support values for maximum likelihood (ML) equal to or higher than 50% are indicated above the branches. The endophytic fungi with original strain numbers isolated in this study are marked with red font.
Jof 08 01197 g001
Figure 2. Dual culture assay. Left: pathogen. Right: endophytic fungus. (ac) Endophytic fungi dominate against the pathogenic fungus PF2. (d,e) Endophytic fungi dominate against pathogenic fungus PF3. (f) Endophytic fungi dominate against pathogenic bacterium PB1. (g,h) Endophytic fungi dominate against pathogenic bacterium PB2.
Figure 2. Dual culture assay. Left: pathogen. Right: endophytic fungus. (ac) Endophytic fungi dominate against the pathogenic fungus PF2. (d,e) Endophytic fungi dominate against pathogenic fungus PF3. (f) Endophytic fungi dominate against pathogenic bacterium PB1. (g,h) Endophytic fungi dominate against pathogenic bacterium PB2.
Jof 08 01197 g002
Figure 3. Inhibition rate of 25 endophytic fungi to three pathogenic bacteria. The inhibition ≥60% is considered a good inhibition effect.
Figure 3. Inhibition rate of 25 endophytic fungi to three pathogenic bacteria. The inhibition ≥60% is considered a good inhibition effect.
Jof 08 01197 g003
Figure 4. Inhibition rate of 40 endophytic fungi to three pathogenic fungi. The inhibition ≥60% is considered a good inhibition effect.
Figure 4. Inhibition rate of 40 endophytic fungi to three pathogenic fungi. The inhibition ≥60% is considered a good inhibition effect.
Jof 08 01197 g004
Table 1. Original code, strain name, strain number, ITS GenBank accession number, class in Ascomycota, plant tissue, collection site, and date of collection of 47 fungal strains associated with Aquilaria sinensis used in this study. The contents in the table are arranged according to the genus of endophytic fungi.
Table 1. Original code, strain name, strain number, ITS GenBank accession number, class in Ascomycota, plant tissue, collection site, and date of collection of 47 fungal strains associated with Aquilaria sinensis used in this study. The contents in the table are arranged according to the genus of endophytic fungi.
Original CodeStrain NameStrain NumberITS GenBank Accession NumberPlant TissueCollection SiteCollection Date
Dothideomycetes
YNA-A40Alternaria sp.ZHKUCC 22-0248OP445267Health leavesYunnanNovember 2020
YNA-1B2Botryosphaeria sp.ZHKUCC 22-0249OP450949Agarwood resinsYunnanSeptember 2021
GDA-3A20Corynespora sp.KUMCC 21-0302OL455852Agarwood resinsGuangdongDecember 2020
GDA-3A5Curvularia sp.KUMCC 21-0287OL455828Agarwood resinsGuangdongDecember 2020
GDA-3A9Curvularia sp.KUMCC 21-0291OL455842Agarwood resinsGuangdongDecember 2020
GDA-1A7Lasiodiplodia sp.KUMCC 21-0224OL548888Agarwood resinsGuangdongDecember 2020
GDA-2A9Lasiodiplodia sp.KUMCC 21-0252OL455795Agarwood resinsGuangdongDecember 2020
GDA-2B1Lasiodiplodia sp.KUMCC 21-0254OL455797Agarwood resinsGuangdongDecember 2020
GDA-3C2Lasiodiplodia sp.KUMCC 21-0324OL548897Agarwood resinsGuangdongDecember 2020
YNA-1C2Lasiodiplodia sp.ZHKUCC 22-0251OP450951Agarwood resinsYunnanSeptember 2021
YNA-D3Lasiodiplodia sp.ZHKUCC 22-0270OP445276Health branchesYunnanNovember 2020
YNA-1C3Neofusicoccum sp.ZHKUCC 22-0252OP450952Agarwood resinsYunnanSeptember 2021
GDA-5A7Paracamarosporium sp.ZHKUCC 22-0247OP439521Health branchesGuangdongDecember 2020
GDA-4C2Pseudopithomyces sp.ZHKUCC 22-0246OP439520Health branchesGuangdongDecember 2020
Eurotiomycetes
YNA-A18Aspergillus sp.ZHKUCC 22-0258OP445263Health leavesYunnanNovember 2020
YNA-A41Aspergillus sp.ZHKUCC 22-0262OP445268Health leavesYunnanNovember 2020
Saccharomycetes
GDA-1B3Trichosporon sp.KUMCC 21-0230OL455772Agarwood resinsGuangdongDecember 2020
Sordariomycetes
GDA-2A3Annulohypoxylon sp.KUMCC 21-0246OL455788Agarwood resinsGuangdongDecember 2020
YNA-A22Colletotrichum sp.ZHKUCC 22-0260OP445265Health leavesYunnanNovember 2020
YNA-A42Colletotrichum sp.ZHKUCC 22-0263OP445269Health leavesYunnanNovember 2020
YNA-A55Colletotrichum sp.ZHKUCC 22-0264OP445270Health leavesYunnanNovember 2020
YNA-A60Colletotrichum sp.ZHKUCC 22-0265OP445271Health leavesYunnanNovember 2020
GDA-3A11Daldinia sp.KUMCC 21-0293OL455844Agarwood resinsGuangdongDecember 2020
YNA-A21Daldinia sp.ZHKUCC 22-0259OP445264Health leavesYunnanNovember 2020
GDA-2A1Diaporthe sp.KUMCC 21-0244OL455786Agarwood resinsGuangdongDecember 2020
GDA-2A2Diaporthe sp.KUMCC 21-0245OL455787Agarwood resinsGuangdongDecember 2020
GDA-2C2Diaporthe sp.KUMCC 21-0271OL455832Agarwood resinsGuangdongDecember 2020
YNA-A29Diaporthe sp.ZHKUCC 22-0261OP445266Health leavesYunnanNovember 2020
YNA-C4Diaporthe sp.ZHKUCC 22-0269OP445275Health leavesYunnanNovember 2020
GDA-1A2Fusarium sp.KUMCC 21-0219OL548884Agarwood resinsGuangdongDecember 2020
GDA-2A8Fusarium sp.KUMCC 21-0251OL455794Agarwood resinsGuangdongDecember 2020
GDA-2B7Fusarium sp.KUMCC 21-0260OL455811Agarwood resinsGuangdongDecember 2020
GDA-2C9Fusarium sp.KUMCC 21-0278OL455819Agarwood resinsGuangdongDecember 2020
GDA-2F9Fusarium sp.ZHKUCC 22-0244OP439518Agarwood resinsGuangdongDecember 2020
GDA-3C4Fusarium sp.KUMCC 21-0326OL548899Agarwood resinsGuangdongDecember 2020
YNA-2C10Fusarium sp.ZHKUCC 22-0253OP450965Agarwood resinsYunnanSeptember 2021
YNA-2C3Fusarium sp.ZHKUCC 22-0254OP450953Agarwood resinsYunnanSeptember 2021
YNA-2C6Fusarium sp.ZHKUCC 22-0256OP450955Agarwood resinsYunnanSeptember 2021
YNA-A1Neopestalotiopsis sp.ZHKUCC 22-0257OP445262Health leavesYunnanNovember 2020
GDA-2B6Nigrospora sp.KUMCC 21-0259OL455810Agarwood resinsGuangdongDecember 2020
GDA-4C1Nigrospora sp.ZHKUCC 22-0245OP439519Health branchesGuangdongDecember 2020
YNA-2C4Nigrospora sp.ZHKUCC 22-0255OP450954Agarwood resinsYunnanSeptember 2021
YNA-A61Nigrospora sp.ZHKUCC 22-0266OP445272Health leavesYunnanNovember 2020
YNA-A67Nigrospora sp.ZHKUCC 22-0267OP445270Health leavesYunnanNovember 2020
YNA-A71Nigrospora sp.ZHKUCC 22-0268OP445274Health leavesYunnanNovember 2020
YNA-1C1Trichoderma sp.ZHKUCC 22-0250OP450949Agarwood resinsYunnanSeptember 2021
GDA-2B15Xylariaceae sp.KUMCC 21-0268OL455829Agarwood resinsGuangdongDecember 2020
Table 2. Six pathogens were purchased from China General Microbiological Culture Collection Center (CGMCC). The PB (pathogenic bacteria) and PF (pathogenic fungi) are new codes created in this study to distinguish pathogenic bacteria and pathogenic fungi.
Table 2. Six pathogens were purchased from China General Microbiological Culture Collection Center (CGMCC). The PB (pathogenic bacteria) and PF (pathogenic fungi) are new codes created in this study to distinguish pathogenic bacteria and pathogenic fungi.
PathogenNew CodeStrain NameStrain NumberEffects of PathogensReferences
Pathogenic bacteriaPB1Erwinia amylovoraCGMCC 1.7276Erwinia amylovora causes a destructive plant disease that endangers many host species of Rosaceae Juss. (e.g., apple, blackberry, cotoneaster, pear, pyracantha, and raspberry)[31,32,33,34,35,36,37,38]
PB2Pseudomonas syringaeCGMCC 1.3333Pseudomonas syringae mainly harms plant hosts, including fruit trees (such as apples, hazelnuts and plums) and some field crops (such as beets, cabbage, cucumbers, oats, peas, rice, tobacco, and tomatoes), which cause major economic losses [39,40,41]
PB3Salmonella entericaCGMCC 1.10603Salmonella enterica is a zoonotic pathogenic bacterium. It can cause acute gastroenteritis, and it causes other symptoms such as septicaemia, fever and/or abortion. The resistance of this pathogen to multiple antibiotics is a public threat to most Asian countries[42,43,44,45,46]
Pathogenic fungiPF1Alternaria alternataCGMCC 3.15535Alternaria alternata is a pathogenic fungus, that infects important cash crops and lead to human and animal diseases. In the field of human diseases, A. alternata is considered to be one of the most important fungal allergens in the world, which are related to severe asthma and respiratory status [47,48,49,50,51,52]
PF2Botrytis cinereaCGMCC 3.3790Botrytis cinerea is one of the most destructive pathogens, especially for food and fruits obtained in the field and storage room. Because the pathogen is resistant to commonly used synthetic fungicides, a number of research activities have been carried out, focusing on the development of biological control strategies for the pathogen[53,54]
PF3Penicillium digitatumCGMCC 3.15410Penicillium digitatum is a main pathogenic fungus of postharvest decay of fruits belonging to Rutaceae Juss. This high host specificity leads to the loss of citrus fruits [55,56,57]
Table 3. The results and inhibition rate percentage ± standard deviation of dual culture assay-formal test (10 days). “−” indicates that the dual culture assay-formal test of endophytic fungi against the pathogen has not been carried out. Taxa are arranged according to the alphabetical order of generic names.
Table 3. The results and inhibition rate percentage ± standard deviation of dual culture assay-formal test (10 days). “−” indicates that the dual culture assay-formal test of endophytic fungi against the pathogen has not been carried out. Taxa are arranged according to the alphabetical order of generic names.
Original CodeStrain NamePB1-Erwinia amylovora (CGMCC 1.7276)PB2-Pseudomonas syringae (CGMCC 1.3333)PB3-Salmonella enterica (CGMCC 1.10603)PF1-Alternaria alternata (CGMCC 3.15535)PF2-Botrytis cinerea (CGMCC 3.3790)PF3-Penicillium digitatum (CGMCC 3.15410)
YNA-A40Alternaria sp.48.27 ± 2.7664.82 ± 0.0764.15 ± 1.14
GDA-2A3Annulohypoxylon sp.26.94 ± 1.6733.33 ± 0.0046.67 ± 0.2270.61 ± 0.0361.47 ± 1.7472.96 ± 0.58
YNA-A18Aspergillus sp.40.64 ± 0.4237.04 ± 0.2736.67 ± 1.5658.85 ± 0.5363.71 ± 1.2472.33 ± 0.03
YNA-A41Aspergillus sp.49.77 ± 0.4248.15 ± 1.1040.00 ± 0.00
YNA-1B2Botryosphaeria sp.57.08 ± 0.6381.02 ± 0.1972.33 ± 0.03
YNA-A22Colletotrichum sp.56.50 ± 2.0280.46 ± 0.0471.70 ± 0.02
YNA-A42Colletotrichum sp.47.09 ± 2.6369.85 ± 0.9065.41 ± 1.10
YNA-A55Colletotrichum sp.58.85 ± 1.2581.57 ± 0.0071.07 ± 0.81
YNA-A60Colletotrichum sp.36.07 ± 2.9233.33 ± 0.0030.00 ± 0.6748.85 ± 1.1875.43 ± 0.3170.44 ± 0.72
GDA-3A20Corynespora sp.42.39 ± 2.9570.97 ± 0.1071.07 ± 0.01
GDA-3A5Curvularia sp.62.96 ± 0.4452.54 ± 2.1867.30 ± 0.13
GDA-3A9Curvularia sp.86.30 ± 0.0074.07 ± 0.2756.67 ± 0.2277.07 ± 0.0291.62 ± 0.0275.47 ± 0.17
GDA-3A11Daldinia sp.46.50 ± 0.1776.55 ± 0.0072.33 ± 0.13
YNA-A21Daldinia sp.53.56 ± 0.4478.22 ± 0.0772.33 ± 0.03
GDA-2A1Diaporthe sp.71.19 ± 0.0184.92 ± 0.1379.87 ± 0.01
GDA-2A2Diaporthe sp.65.90 ± 0.0379.90 ± 0.2475.47 ± 0.07
GDA-2C2Diaporthe sp.49.44 ± 2.0881.02 ± 0.0174.21 ± 0.01
YNA-A29Diaporthe sp.50.03 ± 0.5069.85 ± 0.6968.55 ± 0.22
YNA-C4Diaporthe sp.63.55 ± 0.0174.87 ± 0.2477.99 ± 0.01
GDA-1A2Fusarium sp.31.51 ± 1.2511.11 ± 2.4746.67 ± 0.2258.26 ± 1.3870.41 ± 2.8972.33 ± 0.06
GDA-2A8Fusarium sp.45.21 ± 0.0044.44 ± 0.8243.33 ± 0.2255.91 ± 1.9363.71 ± 3.1164.78 ± 0.22
GDA-2B7Fusarium sp.54.34 ± 1.6748.15 ± 0.2736.67 ± 0.22
GDA-2C9Fusarium sp.49.77 ± 0.4233.33 ± 0.0046.67 ± 0.89
GDA-2F9Fusarium sp.54.34 ± 0.4248.15 ± 1.1046.67 ± 0.89
GDA-3C4Fusarium sp.36.07 ± 1.6722.22 ± 0.8233.33 ± 0.8955.32 ± 2.5281.57 ± 0.5872.33 ± 0.01
YNA-2C10Fusarium sp.54.34 ± 0.4255.56 ± 0.0056.67 ± 0.22
YNA-2C3Fusarium sp.81.74 ± 0.4244.44 ± 0.8236.67 ± 0.2262.38 ± 0.1356.45 ± 2.3856.60 ± 1.23
YNA-2C6Fusarium sp.49.77 ± 0.4262.96 ± 1.1046.67 ± 1.56
GDA-1A7Lasiodiplodia sp.86.30 ± 1.2559.26 ± 0.2746.67 ± 0.2274.13 ± 0.0391.07 ± 0.0279.25 ± 0.17
GDA-2A9Lasiodiplodia sp.63.47 ± 0.4255.56 ± 0.0060.00 ± 0.0070.61 ± 0.0389.39 ± 0.0178.62 ± 0.13
GDA-2B1Lasiodiplodia sp.77.17 ± 0.4248.15 ± 1.9253.33 ± 1.5672.96 ± 0.1793.30 ± 0.0073.58 ± 0.31
GDA-3C2Lasiodiplodia sp.49.77 ± 0.4262.96 ± 0.2750.00 ± 0.6765.90 ± 0.3093.30 ± 0.0072.96 ± 0.06
YNA-1C2Lasiodiplodia sp.68.04 ± 0.4270.37 ± 0.2756.67 ± 0.8975.31 ± 0.1592.18 ± 0.0175.47 ± 0.17
YNA-D3Lasiodiplodia sp.63.47 ± 0.4274.07 ± 0.2763.33 ± 0.8975.90 ± 0.0993.30 ± 0.0076.73 ±0.10
YNA-1C3Neofusicoccum sp.49.77 ± 0.4270.37 ± 0.2746.67 ± 0.2271.19 ± 0.1392.18 ± 0.0269.18 ± 0.15
YNA-A1Neopestalotiopsis sp.48.27 ± 1.6964.82 ± 1.4071.07 ± 0.06
GDA-2B6Nigrospora sp.40.64 ± 0.4229.63 ± 0.2740.00 ± 0.67
GDA-4C1Nigrospora sp.68.04 ± 0.4262.96 ± 0.2746.67 ± 3.5664.73 ± 0.0671.52 ± 1.7071.70 ± 0.07
YNA-2C4Nigrospora sp.65.31 ± 1.3879.34 ± 0.3172.33 ± 0.03
YNA-A61Nigrospora sp.52.97 ± 0.0178.78 ± 0.1664.78 ± 0.10
YNA-A67Nigrospora sp.47.09 ± 0.0893.30 ± 0.0069.81 ± 0.00
YNA-A71Nigrospora sp.61.20 ± 0.0268.73 ± 2.3671.70 ± 0.02
GDA-5A7Paracamarosporium sp.50.62 ± 2.5759.80 ± 1.4071.70 ± 0.00
GDA-4C2Pseudopithomyces sp.36.07 ± 5.4262.96 ± 0.2733.33 ± 0.8951.79 ± 1.5065.38 ± 0.4758.49 ± 1.45
YNA-1C1Trichoderma sp.45.21 ± 0.0062.96 ± 0.2760.00 ± 0.6777.07 ± 0.0292.74 ± 0.0475.47 ± 0.17
GDA-1B3Trichosporon sp.51.21 ± 3.2046.40 ± 1.7474.21 ± 0.03
GDA-2B15Xylariaceae sp.54.14 ± 1.1878.78 ± 0.1672.33 ± 0.25
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Du, T.-Y.; Karunarathna, S.C.; Zhang, X.; Dai, D.-Q.; Mapook, A.; Suwannarach, N.; Xu, J.-C.; Stephenson, S.L.; Elgorban, A.M.; Al-Rejaie, S.; et al. Endophytic Fungi Associated with Aquilaria sinensis (Agarwood) from China Show Antagonism against Bacterial and Fungal Pathogens. J. Fungi 2022, 8, 1197. https://doi.org/10.3390/jof8111197

AMA Style

Du T-Y, Karunarathna SC, Zhang X, Dai D-Q, Mapook A, Suwannarach N, Xu J-C, Stephenson SL, Elgorban AM, Al-Rejaie S, et al. Endophytic Fungi Associated with Aquilaria sinensis (Agarwood) from China Show Antagonism against Bacterial and Fungal Pathogens. Journal of Fungi. 2022; 8(11):1197. https://doi.org/10.3390/jof8111197

Chicago/Turabian Style

Du, Tian-Ye, Samantha C. Karunarathna, Xian Zhang, Dong-Qin Dai, Ausana Mapook, Nakarin Suwannarach, Jian-Chu Xu, Steven L. Stephenson, Abdallah M. Elgorban, Salim Al-Rejaie, and et al. 2022. "Endophytic Fungi Associated with Aquilaria sinensis (Agarwood) from China Show Antagonism against Bacterial and Fungal Pathogens" Journal of Fungi 8, no. 11: 1197. https://doi.org/10.3390/jof8111197

APA Style

Du, T. -Y., Karunarathna, S. C., Zhang, X., Dai, D. -Q., Mapook, A., Suwannarach, N., Xu, J. -C., Stephenson, S. L., Elgorban, A. M., Al-Rejaie, S., & Tibpromma, S. (2022). Endophytic Fungi Associated with Aquilaria sinensis (Agarwood) from China Show Antagonism against Bacterial and Fungal Pathogens. Journal of Fungi, 8(11), 1197. https://doi.org/10.3390/jof8111197

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop