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Trichoderma species from rhizosphere of Oxalis corymbosa release volatile organic compounds inhibiting the seed germination and growth of Echinochloa colona
⁎Corresponding author. wangyh1984@163.com (Yan-Hui Wang)
-
Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
Trichoderma spp. have the potential to act as biocontrol agents for regulating plant growth. In this study, Trichoderma spp. were isolated from the rhizosphere soil of Oxalis corymbosa in sugarcane fields, and six strains were identified as T. koningiopsis, T. afroharzianum, T. atroviride, T. virens and T. asperelloides through morphology and phylogenetic analysis of ITS and tef 1 gene sequences. The activity of volatile organic compounds (VOCs) emitted by Trichoderma spp. was determined using the double-plate chamber method, revealing that five strains significantly inhibited the seed germination and growth of Echinochloa colona. Subsequently, SMPE-GC–MS and Venn analyses unveiled the presence of five common VOCs, namely phenylethyl alcohol, 2,4,6-trichloroanisole, hexadecanoic acid ethyl ester, 10(E),12(Z)-conjugated linoleic acid, and linoleic acid ethyl ester, within Trichoderma spp.. Independently, five compounds were evaluated for their inhibitory effect on the shoot growth of E. colona. Additionally, the results demonstrated that linoleic acid ethyl ester exhibited the highest inhibitory activity, while hexadecanoic acid ethyl ester was the least effective. The inhibitory effect of 2,4,6-trichloroanisole increased with concentration. Hormone analysis results indicated that VOCs influenced the concentration of abscisic acid, resulting in the maintenance of dormancy in E. colona. This study provides compelling evidence for the potential use of Trichoderma as bioherbicides.
Keywords
Trichoderma spp.
Volatile organic compounds (VOCs)
Oxalis corymbosa
Echinochloa colona
Inhibitory activity
1 Introduction
The use of microorganisms as biocontrol agents represent a sustainable alternative to mitigate the pollution caused by chemical pesticides and improve sustainable agriculture. Trichoderma spp., filamentous fungi commonly found in soil, plants, or decaying wood, offer a promising avenue in this regard. The genus comprises more than 500 recognized species (Cai and Druzhinina 2021, Zheng et al., 2021). It was widely reported that Trichoderma spp. might regulate plant growth and inhibit pathogens through emission of VOCs (Da Costa et al., 2021, Harman et al., 2021, Joo and Hussein 2022, You et al., 2022). For example, VOCs released by T. asperellum IsmT5 had a negative impact on plant growth (Kottb et al., 2015), whereas VOCs emitted by T. viride BBA 70239 have demonstrated a positive influence on plant growth induction (Lee et al., 2016). In addition, some Trichoderma species showed distinct VOCs profiles and antagonized toward the ectomycorrhiza Laccaria bicolor (Guo et al., 2019). In the Arabidopsis model, VOC 1-octen-3-ol released from fungi induced an oxidative burst in leave, leading to inhibition of plant growth (Hung et al., 2014). To date, thousands of VOCs have been identified in microbes through GC–MS (Lemfack et al., 2018). Typically, VOCs are characterized by their low molecular weight (<300 Da), low polarity, low boiling points, and high vapor pressure (approximately 0.01 kPa) at room temperature. These VOCs encompass a wide range of chemical classes, including alkenes, alcohols, ketones, benzenoids, pyrazines, sulfides, and terpenes (El Jaddaoui et al., 2023). However, little research focus on inhibitory activity of VOCs from Trichoderma species on weeds.
Echinochloa colona is common and troublesome weed that poses a significant threat to several economically important crops (Chauhan and Johnson 2011, Ndirangu Wangari et al., 2022). Here, we found that some Trichoderma strains isolated from rhizosphere of Oxalis corymbosa inhibited the germination of E. colona. Generally, seed germination is closely related to plant hormones. In seed dormancy and germination, numerous studies indicated that balance between abscisic acid (ABA) and gibberellins (GA) constituted the central node in the interactions of diverse hormonal signals (Shu et al., 2016). ABA served as a critical inducer and protector of seed dormancy (Vaistij et al., 2013). In addition, phytohormone auxin interacted with ABA during seed germination. Exogenous auxin suppressed seed germination under high salinity (Park et al., 2011, Qu et al., 2011). Hence, we hypothesized that germination of E. colona is inhibited by VOCs from Trichoderma strains, probably regulated by endogenous hormone. The aims of this study were to (1) isolate Trichoderma strains from rhizosphere soil of O. corymbosa, (2) evaluate their inhibitory activities in germination and growth inhibition of E. colona, (3) identify VOCs from Trichoderma spp. by GC–MS and test effect of VOCs on E. colona, and (4) analyze phytohormone content involved in germination and growth of E. colona. This study will provide certain guiding significance for the weed biological control in the field.
2 Materials and methods
2.1 Isolation of Trichoderma spp. from the rhizosphere soil
In the present study, Trichoderma spp. were isolated from the rhizosphere soil of O. corymbosa, which were collected from sugarcane fields in Guangxi province, China. One gram of soil from each sample was taken in a 250 mL conical flask with 99 mL of sterile distilled water and grinding beads, and then agitated for 10 min to prepare 10−1 dilution. This suspension was used for serial dilutions up to 10−5 using serial dilution method. Two hundred microliter of the suspension from 10−3, 10−4 and 10−5 were plated separately on petri plates containing potato dextrose agar (PDA) and incubated at 25 °C in the dark. For microscopic morphology, photographs were taken with a Nikon Ni-E fluorescence microscope (Tokyo, Japan) connected to a DP controller digital camera.
2.2 DNA extraction, PCR amplification and sequencing
Fungal mycelia grown on PDA for 4–7 d was scraped off and collected into 1.5 mL tube. Genomic DNA was extracted using a modified CTAB protocol described in the reference (Guo et al., 2000). The internal transcribed spacer (ITS) and translation elongation factor 1-alpha (tef 1) were amplified with the following two primer pairs: ITS1 (5′-TCCGTAGGTGAACCTGCGG-3′) and ITS4 (5′-TCCTCCGCTTATTGATATGC-3′) for ITS (Kullnig-Gradinger et al., 2002) and TEF1-728F (5′-CATCGAGAAGTTCGAGAAGG-3′) (Carbone and Kohn, 1999) and TEF1-LLErev (5′-AACTTGCAGGCAATGTGG-3′) (Jaklitsch et al., 2005) for tef 1.PCR reactions were performed in 25 μL mixture of 12.5 μL 2 × Taq PCR StarMix, 8 μL ddH2O, 2 μL DNA and 1.25 μL of each primer using a BIO-RAD T100TM Thermal Cycler. The thermocycling program for ITS was 94 °C for 2 min or tef 1 was 95 °C for 5 min, followed by 40 cycles of 94 °C for 30 s, 55 °C annealing for 30 s, 72 °C for 1 min, and 10 min at 72 °C. The PCR products were visualized using a 1% agarose gel. Successfully amplified PCR products were sequenced by Sangon Biotech (Shanghai) Co., Ltd.
2.3 Phylogenetic analyses
For sequences alignment, the obtained sequences were initially checked with BioEdit (Hall 1999) and ran BLAST searches in the NCBI database. The ITS and tef 1 sequences of reference Trichoderma species were retrieved from the NCBI database. Nectria berolinensis (CBS 127382) and Nectria eustromatica (CBS 121896) were selected as out-group. All sequences were aligned using Clustal W within the MEGA v.7.0.26 software (Kumar et al., 2016). Phylogenetic analysis included maximum-likelihood (ML)) and Bayesian inference (BI) methods using RAxML v.7.2.8 (Stamatakis, 2006). In the case of the ML analysis, the GTRCAT model was implemented and clade stability was determined based on 1000 bootstrap (BS) replicates of rapid ML guided replications performed in Raxml v.7.2.8. BI analysis adopted MrBayes v. 3.2.1 following the scheme of Cheng et al. (Cheng et al., 2015) and basing on the Markov Chain Monte Carlo (MCMC) method (Ronquist et al., 2012). Each locus was optimized as a partition in the combination analysis. Mrmodel test v. 2.3 (Posada and Crandall, 1998) used Akaike Information Criterion (AIC) to determine the best fit evolutionary model (GTR + I + G). Two MCMC chains were run in the random tree with a total of 1 million generations sampling once every 100 generations. When the average standard deviation of the separation frequency was<0.01 of the sampled trees’ burn-in phases from the BI analysis. The first 25% of the samples were discarded and posterior probability (PP) values were calculated. The trees were viewed and edited with Figtree v.1.3.1 (Rambaut and Drummond, 2010). The branch support values of PP/BS were higher than 0.6/60%, which were shown at the nodes.
2.4 Inhibition activity of Trichoderma spp. against E. colona using double-plate chamber method
In this experiment, six Trichoderma strains were selected for testing inhibitory activity against E. colona according to the method of Fernando (Fernando et al., 2005) with some modifications. Briefly, E. colona seeds were surface sterilized in a 75% ethanol and 2% bleach solution. E. colona was taken to the petri dish (diameter 9 cm) containing 4 mL of autoclaved 0.8% agar and covered with another petri dish containing Trichoderma spp. cultured on PDA for two days, and then two plates were sealed with Parafilm to obtain a double-plate chamber. The average distance between autoclaved 0.8% agar surface of bottom dish and PDA agar surface of top dish was 1.5 cm (Fig. 1). The mixture was incubated for 140 h at 28 °C (±2) under in the dark. The control plates had only autoclaved PDA agar in upper dish. The germination of E. colona was recorded at 24 h intervals by visual inspection (Hong et al., 2018).
Inhibition activity of Trichoderma spp. against E. colona using double-plate chamber method.
The same method was used to planta assays, which autoclaved soil was in replaced of 0.8% agar to culture E. colona at bottom petri dish. The mixture was incubated for 72 h at 28 °C (±2) under in the dark. The control plates had only autoclaved PDA agar at top petri dish. The germination of E. colona was recorded at 24 h intervals by visual inspection. All treatments were performed in triplicate.
2.5 Extraction and analysis on E. colona endogenous hormone
The indole acetic acid (IAA), GA, Zeatin (ZT), and ABA of E. colona were determined by HPLC. Accurate 0.2 g sample was grinded in a mortar, extracted with 1 mL pre-cooled 70–80% methanol solution (pH = 3.5) overnight at 4 °C, and centrifuged at 4 °C 12000 × g for 10 min. The supernatants were collected, and the residue was extracted again using 0.5 mL 70–80% methanol solution at 4 °C for 2 h. The supernatants were combined and evaporated to about 0.5 mL with rotary vacuum gibberellins at 40 °C. The evaporated samples were repeatedly extracted using petroleum ether for 2–5 times. The combined petroleum ether phase was added triethylamine to adjust pH = 8.0, added polyvinylpyrrolidone (PVPP), shocked for 20 min, and centrifugated at 4 °C 12000 × g for 5 min. The supernatant was adjusted pH to 3.0 with hydrochloric acid, extracted with ethyl acetate 3 times and combined with the ester phase. The ethyl acetate phases were combined, dehydrated, and concentrated to dryness under reduced pressure. The dry extracts were dissolved in 1 mL ethyl acetate, vortexed, and filtered with 0.22 μm Millipore filter membrane for HPLC analysis.
The samples were detected by HPLC (SHIMADZU LC-20A) equipment with PDA detector and C18 column (250 × 4.6 mm, 5 μm) at 35 °C. Mobile phases were acetonitrile/water (1% formic acid) (V:V = 45:55) at a flow rate of 0.8 mL/min. The injections volume was 10 μL and the total running time was 30 min. The IAA, GA3, ZT and ABA of the E. colona were compared with the standards. All treatments were performed in triplicate.
2.6 Identified VOCs of Trichoderma spp. using SPME-GC–MS
To detect the VOCs, the Trichoderma spp. was incubated with in sealed glass bottles containing 10 mL PDA medium at 25 °C for 140 h. The VOCs released by Trichoderma spp. incubated at 60 °C were adsorbed for 1 h with a 2 cm solid-phase microextraction (SPME) fiber with DVB/CAR/PDMS film (Supelco, Bellefonte, PA, USA). The VOCs was desorbed from SPME and analyzed by GC–MS (Agilent 7890 N/5975, USA) equipped with HP-5MS capillary column (30 m × 0.25 mm ID; film thickness 0.25 μm). The oven program was as following: 40 °C for 5 min, at a rate of 4 °C/min to 120 °C for 3 min, then desorbed at 10 °C/min to 220 °C for 5 min, and a final at 30 °C/min to 280 °C for 3 min. In the operating conditions, helium was used as the carrier gas (1 mL/min) and the total running time was 48 min. The mass fragments were analyzed using electron ionization at 70 eV and a scan rate of 1.9 scans−1. Fragments were read from 40 to 450 m/z. The VOCs were identified according to NIST17. L mass spectrometry database.
2.7 Effect of synthetic compounds on E. colona growth
The candidate VOCs from Trichoderma spp. were purchased from Aladdin Biochemical Technology Co., Ltd. (Shanghai, China) and evaluated individually for their inhibition ability to plant growth. For the volatile-exposure bioassay, we performed the divided petri dishes (I-plates) assays. To exactly evaluate activity of candidate VOCs, E. colona was pre-geminated in the 0.8% agar. The E. colona seedlings were grown for 72 h in half of an I-plate as described above. Each compound was dissolved in ethanol to a final concentration of 50, 100, 200, 500 and 1000 μM, and applied to the other half of the plate, respectively. The ethanol was control treatment in the other half of the plate. The plates were incubated for 72 h lighting (12-h light–dark cycles) at 27 ℃ (±2) to allow plant growth. Then the shoot length, root length and fresh weights of plants were measured in 3 days after incubation. All bioassays were conducted three times with 20 seedlings per treatment.
2.8 Statistical analysis
The data were subjected to analyses of variance (ANOVA) by using SPSS 24.0 (SPSS Inc., USA). For percentage data, an arcsine transformation was applied prior to ANOVA. The least significant difference (LSD) test was used to calculate the inhibition assay for shoot length, treatments of the VOCs and control at α < 0.05 (Kamaruzzaman et al., 2021). Significant differences were also based on independent-sample T test (P < 0.05, P < 0.01). All experiments were performed at least twice.
3 Results
3.1 Colony morphology and molecular identification of Trichoderma spp.
Total 44 Trichoderma strains were isolated from the rhizosphere soil of O. corymbosa. Five strains were selected and one ineffective strain was control in this study. Trichoderma strains were cultured on PDA and SNA at 25 °C under alternating 12 h light and 12 h darkness. Colonies were photographed after 4 days on PDA and SNA. Conidia were photographed after 14 days of incubation on SNA (Fig. 2). After 4 days, the colony rapidly developed white, and villous hyphae radiated to the peripheral. Massive conidiation started on the third day of culture. The juvenile conidia appeared yellowish-green and gradually turned dark green within 24 h especially for TZ9-107 and TZ10-103. On the fourth day, the hyphae were nearly full of radiating petri dishes, with the exception of TZ9-107. After 14 days, the mycelia of Trichoderma strains were significantly reduced, transparent and smooth. The conidia were smooth, spherical, or ovoid-shaped, translucent to appeared yellowish-green.
Morphological characteristics of Trichoderma spp.. Colony on PDA (A1-F1), Colony on SNA (A2-F2), conidia on SAN (A3-A5). Scale bar are 100 µm, 20 µm, 10 µm, respectively.
To identify six Trichoderma strains, the sequences of ITS and tef1 regions from 64 strains representing different clades of Trichoderma, were analyzed by the methods of BI and ML (Table 1). The ML analysis with the BI analysis showed consistent tree topology, therefore the ML phylogeny was used as basal tree shown in Fig. 3. Phylogenetic analysis sequence data supported combined ITS and tef 1 that the TZ1-113 subclades corresponding to T. koningiopsis (PP/BS: -/63) pertain to the Koningii clade, the TZ2-102 and TZ14-110 subclades corresponding to T. afroharzianum (PP/BS: 0.99/84, 0.79/-) pertain to the Harzianum clade, the TZ3-103 subclades corresponding to T. atroviride pertain to the Atroviride clade, the TZ9-107 subclades corresponding to T.virens (PP/BS: 0.96/96) pertain to the Virens clade, the TZ10-103 subclades corresponding to T. asperelloides (PP/BS: 0.99/99) pertain to the Hamatum clade. Finally, 6 strains were considered as 5 different species in Trichoderma according to morphological features and sequences analysis. Strains isolated in this study are reported in bold.
Species
Strain
GenBank accession number
ITS
Tef 1
T. afroharzianum
TRS835
KP009351
KP008787
T. afroharzianum
TRS861
KP009233
KP008786
T. afroharzianum
Tafum1
MT102401
MT081431
T. afroharzianum
TZ2-102
OP861497
OP962017
T. afroharzianum
TZ14-110
OP881438
OP962011
T. alni
CBS 120633
EU518651
EU498312
T. albolutescens
CBS 119286
FJ860721
FJ860609
T. applanatum
7781
KJ783289
KJ634757
T. asperellum
TRS705
KP009366
KP009011
T. asperellum
TRS746
KP009371
KP008926
T. atroviride
TRS18
KJ786757
KJ786839
T. atroviride
TRS26
KJ786751
KJ786832
T. atroviride
TRW
KX538952
KX538956
T. atroviride
TZ3-103
OP935213
OP962013
T. atlanticum
CBS 120632
FJ860781
FJ860649
T. atrobrunneum
T42
KX632515
KX632629
T. auranteffusum
CBS 119284
FJ860728
FJ860613
T. austriacum
CBS 122494
FJ860735
FJ860619
T. bannaense
HMAS:248865
KY687948
KY688038
T. brevicompactum
TRS859
KP009365
KP008906
T. chlamydosporicum
HMAS:248851
KY687934
KY688053
T. citrinoviride
7987
KJ783299
KJ634767
T. citrinoviride
TRS745
KP009362
KP008894
T. citrinoviride
TRS750
KP009360
KP008889
T. gamsii
TW20050
KU523894
KU523895
T. harzianum
T18
KX632492
KX632606
T. harzianum
T2
KX632477
KX632591
T. koningiopsis
7745
KJ783287
KJ634755
T. koningiopsis
CBS 119067
DQ313138
DQ284972
T. koningiopsis
CBS 119069
DQ313143
DQ284971
T. koningiopsis
DAOM 222105
AY380901
AY376042
T. koningiopsis
TZ1-113
OP861491
OP962014
T. koningii
7723
KJ783285
KJ634753
T. lixii
C.P.K. 1934
EF392746.2
FJ179573
T. linzhiense
TC982
KY687957
KY688048
T. margaretense
C.P.K. 3127
FJ860741
FJ860625
T. minutisporum
7828
KJ783294
KJ634762
T. minutisporum
CBS 341.93
MH862411
KJ665612
T. orientale
S187
JQ685873
JQ685868
T. pseudoasperelloides
YMF 1.00152
MH262581
MH236491
T. pseudoasperelloides
YMF 1.00378
MH262587
MH247183
T. pseudoasperelloides
YMF 1.04629
MH383059
MK775504
T. polysporum
8232
KJ783311
KJ634779
T. rogersonii
7795
KJ783292
KJ634760
T. solum
HMAS:248849
KY687932
KY688051
T. spinulosum
CBS 311.50
FJ860844
FJ860701
T. valdunense
CBS 120923
FJ860863
FJ860717
T. virens
TRS106
KP009291
KP008854
T. virens
TRS112
KP009296
KP008860
T. virens
TZ9-107
OP881436
OP962012
T. zayuense
HMAS:248836
KY687919
KY688032
H. rodmanii
C.P.K. 2852
FJ860825
FJ860688
H. rodmanii
CBS 121553
FJ860824
FJ860687
Trichoderma sp.
DIS 219C
EU330954
EU338332
H. dingleyae
CBS 119053
DQ313151
AF348117
H. lixii
G.J.S. 90–22
AF443915
AF443933
H. straminea
CBS 114248
AY737765
AY737746
T. koningii
CBS 988.97
DQ323409
DQ289007
H. rufa
G.J.S. 90–97
DQ315449
DQ307530
H. intricata
G.J.S. 02–78
EU264002
EU248630
H. dorotheae
CBS 119089
DQ313144
DQ307536
T. asperelloides
NAIMCC-F-01951
KY644118
KY644122
T. asperelloides
TZ10-103
OP881437
OP962018
T. koningiopsis
CCMJ5253
ON385996
ON567187
H. atroviridis
CBS 119499
FJ860726
FJ860611
T. pseudoasperelloides
YMF1.00258
MH113924
MH177910
T. dingleyae
CBS 119056
NR_138443
KJ665467
T. atrobrunneum
GJS 05–101
FJ442677
FJ463392
Nectria berolinensis
CBS 127382
HM534893
HM534872
Nectria eustromatica
CBS 121896
HM534896
HM534875

Phylogenetic tree of Trichoderma species based on the combined gene sequences of ITS and tef 1. Maximum‐likelihood (ML) tree constructed with ITS and tef 1 sequences of 64 strains representing the Trichoderma. The Bayesian posterior probabilities greater than 60% (PP) and RAxML bootstrap support values greater than 60% (BS) are given at the nodes (PP/ BS). Nectria berolinensis (CBS 127382) and Nectria eustromatica (CBS 121896) were used as the outgroup. The present isolates are marked in bold. Note, Hypocrea atroviridis is a heterotypic synonym of Trichoderma atroviride.
3.2 Inhibition of E. colona by Trichoderma spp
In the double-plate chamber experiment, germination of E. colona was significantly suppressed by the Trichoderma spp. compared with the control. The inhibition percentages were nearly 90% (Fig. 4A, Table 2). This result indicated that VOCs were the major regulators inhibiting germination of E. colona. Values within the same column with different letters are significantly different (P < 0.05) by single factor variance analysis ANOVA, values are means ± SD (n = 3).
Inhibition of E. colona growth by VOCs emitted Trichoderma spp.

Inhibition of E. colona growth by VOCs emitted Trichoderma spp.
Treatment
Germination rate (%)
Control
70.33 ± 0.012 a
TZ1-113
8 ± 0.006c
TZ2-102
6.33 ± 0.009c
TZ3-103
8 ± 0.006c
TZ9-107
8 ± 0.006c
TZ10-103
57 ± 0.006b
TZ14-110
7 ± 0.006c
To demonstrate the effect of VOCs, we created the in planta bioassay system. In the system, shoot growth of E. colona was evidently suppressed by the Trichoderma spp. compared with the control, and the inhibition percentages were 100% (Fig. 4B). These results showed that the VOCs of Trichoderma had inhibitory effect on the growth of E. colona.
3.3 Identification of volatile organic compounds produced by Trichoderma spp
Since particular VOCs might play key roles in inhibiting plant growth, we characterized the VOCs emitted by 6 Trichoderma strains were collected using SMPE and analyzed by GC–MS. The background compounds were excluded from the control (only PDA). Venn diagrams were constructed using control and the VOCs from five inhibitory Trichoderma strains (Chen et al., 2021) (Fig. 5A). Statistics showed that the compound dimethyl phthalate (1) was excluded from control. Venn diagram showed that six common compounds in five different inhibitory Trichoderma strains. The common compounds were 2,4,6-trichloroanisole, dimethyl phthalate and ethanol, hexadecanoic acid, ethyl ester, linoleic acid ethyl ester and phenylethyl alcohol (Fig. 5B). Compared to VOCs in non-inhibitory Trichoderma strain, some common compounds were identified as ethanol, hexadecanoic acid, ethyl ester, linoleic acid ethyl ester and phenylethyl alcohol (Fig. 5C). Ethanol was excluded according to Venn diagrams anlysis. In addition, 2,4,6-trichloroanisole was not present in the VOCs of the non-inhibitory strain. We found that the area of linoleic acid ethyl ester, hexadecanoic acid, ethyl ester and 2,4,6-trichloroanisole was lower content in VOC of the non-inhibitory strain than five strains with inhibitory activity. Results showed that five compounds were screened as candidate bioactive compounds (Table 3). For detailed five compounds chromatographic information, see the supplementary materials (Fig. S2-6). Note: RPA 1 = Relative Peck Area; RT 2 = Retention Time; Purity 3 = Compound of standard for purity; MF 4 = Molecular Formula; MW 5 = Molecular Weight.
Analysis of VOCs produced by Trichoderma spp. The abscissa of the bar plot below the Venn diagram is the Trichoderma strain number, the ordinate is the number of VOCs.
N°
Compound
Strain
Peak Area (%) 1
RT (min) 2
Purity 3
Molecular Formula (MF) 4
Molecular weight (MW) 5
Chemical structure
1
Phenylethyl alcohol
TZ1-113
0.72
12.765
≥99%
C8H10O
TZ2-102
36.9
12.825
TZ3-103
2.93
12.749
TZ9-107
1.42
12.765
122.073
TZ10-103
2.83
12.782
TZ14-110
53.29
12.754
2
2,4,6-Trichloroanisole
TZ1-113
0.43
20.113
≥98%
Cl3C6H2OCH3
TZ2-102
0.79
20.125
TZ3-103
0.56
20.103
209.941
TZ9-107
5.59
20.108
TZ14-110
0.48
20.103
3
Hexadecanoic acid, ethyl ester
TZ1-113
0.6
35.563
≥99%
C18H36O2
TZ2-102
3.99
35.541
TZ3-103
0.43
35.563
284.272
TZ9-107
0.84
35.547
TZ10-103
0.15
35.558
TZ14-110
13.01
35.53
4
10(E),12(Z)-Conjugated linoleic
TZ2-102
0.73
36.85
≥80%
C18H32O2
TZ3-103
0.38
36.85
280.24
TZ10-103
0.13
36.85
TZ14-110
2.14
36.845
5
Linoleic acid ethyl ester
TZ1-113
0.56
37.041
≥97%
C20H36O2
TZ2-102
1.76
37.031
TZ3-103
0.83
37.041
TZ9-107
1.00
37.031
308.272
TZ10-103
0.28
37.036
TZ14-110
8.24
37.02
3.4 Inhibition effect of VOCs on E. colona
To determine their potential biological activity, the pure standards of five VOCs were purchased to test their inhibitory activity against E. colona. These results showed that the five compounds had different degrees of inhibition on plant growth, comparing with ethanol control treatment. The inhibitory rates for shoot length was approximately 3%, 26%, 28%, 31%, 21% (50, 100, 200, 500 and 1000 μM) by conjugated linoleic acid, 9%, 17%, 24%, 52% (100, 200, 500 and 1000 μM) by 2,4,6-trichloroanisole, 45%, 39%, 41% (200, 500 and 1000 μM) by linoleic acid ethyl ester, 14%, 19% (500 and 1000 μM) by phenylethyl alcohol and 14% (1000 μM) by hexadecanoic acid, ethyl ester compared to growth under control conditions (Fig. 6A and B). Our results suggested that the VOCs emitted by Trichoderma were able to inhibit the growth of the shoot in the main root of E. colona.
Inhibition effect of VOCs on E. colona.

Inhibition effect of VOCs on E. colona.
3.5 The level of phytohormones in E. colona
We quantitatively determined IAA, ABA, GA and ZT accumulation in E. colona seedlings with Trichoderma treatments. As expected, the VOCs led to a significant difference in the endogenous levels of IAA, ABA and ZT in E. colona. Compared with the controls, ZT increased from 0.376 to 0.751, IAA from 3.251 to 9.101, and ABA from 2.903 to 8.721. However, there were no significant difference in the GA between treatments and control (Table 4). The above results indicated that the VOCs emitted by Trichoderma could inhibit growth of E. colona by regulating the levels of IAA, ZT and ABA in E. colona. Values within the same column with different letters are significantly different (P < 0.05) by independent-sample T test, values are means ± SD (n = 3).
Treatment
ZT (μg/g FW)
GA (μg/g FW)
IAA (μg/g FW)
ABA (μg/g FW)
Trichoderma
0.751 ± 0.040a
10.869 ± 1.175a
9.101 ± 0.968a
8.721 ± 0.400a
Control
0.376 ± 0.031b
10.994 ± 2.026a
3.251 ± 0.673b
2.903 ± 0.920b
4 Discussion
A previous study conducted by Tyskiewicz et al. in 2022 revealed that most Trichoderma species can be classified as plant growth-promoting fungi (Tyśkiewicz et al., 2022). These fungi are capable of producing phytohormones and secreting enzymes. Additionally, Trichoderma exhibits high biocontrol potential within its genus, attributed to its antifungal activity and biostimulation properties, as demonstrated by Thambugala et al. in 2020, Vishwakarma et al. in 2020 and Rush et al. in 2021 (Thambugala et al., 2020, Vishwakarma et al., 2020, Rush et al., 2021). Our research has further illuminated the potential of Trichoderma species. We have discovered that 5 Trichoderma species possess the ability to inhibit the germination of E. colona, indicating that Trichoderma species could be valuable contributors to the development of bioherbicides.
Microbes are known to emit a broad spectrum of VOCs that serve diverse functions in plants, including defense, development, modulation of root architecture, and facilitation of microbe-plant communication (Wenke et al., 2010, Kanchiswamy et al., 2015). Previous studies have demonstrated several beneficial effects of VOCs on plants. For instance, VOCs emitted by Bacillus bacteria, Pseudomonas, Streptomyces, and Trichoderma have been shown to regulate plant growth (Park et al., 2015, Jiang et al., 2019, Mun et al., 2020). These compounds primarily promote the growth of various plant, such as sweet corn and cucumber plants, by increasing both root and shoot growth (Björkman et al., 1998, Zhang et al., 2012). However, our current research has revealed contrasting results. Specifically, we observed that VOCs produced by Trichoderma did not lead to increased biomass production or lateral root formation. On the contrary, our findings suggest that Trichoderma-mediated VOCs have the potential to inhibit the growth of E. colona.
Previous studies have detected approximately 500 different Trichoderma VOCs (Lemfack et al., 2018), highlighting the substantial chemical diversity of these odors among various Trichoderma species (Guo et al., 2020, Lakhdari et al., 2023). Notably, more VOCs may be identified on PDA than in soil or plants, as some VOCs can be absorbed by the soil (González-Pérez et al., 2018). In our study, the SPME-GC–MS technique was employed to identify VOCs produced by Trichoderma strains on PDA. Out of the six strains studied, each exhibited distinct VOC profiles (see Fig. 5 and Fig. S1). These results align with findings reported by Gualtieri et al. (Gualtieri et al., 2022).
Five VOCs were further confirmed with standard compounds and selected as candidate compounds for testing biological activity. One of these compounds was linoleic acid ethyl ester a molecular weight of 308.272 m/z, which shares its presence with Lasiodiplodia theobromae (Uranga et al., 2016). Linoleic acid ethyl ester has been shown to inhibit tobacco seed germination and growth (Uranga et al., 2016) and exhibited similar inhibitory effects against E. colona in our study. This compound garners attention due to its stability and ease of absorption (Qin et al., 2022). The linoleic acid ethyl ester may be regarded as growth regulators, which is similar to gibberellic acid function in tobacco (Sumayo et al., 2014). Thus, future work will be focus on mechanism in plant growth regulators.
The second compound, hexadecanoic acid, ethyl ester, is also an ester compound. This compound was characterized with fragments at m/z 88.1, 101.1 and 43.1 in the mass spectrum, which was identical to database of microbial volatiles (Lemfack et al., 2018). This compound showed no inhibitory activity against E. colona below 500 μM. We speculate that E. colona might metabolize hexadecanoic acid ethyl ester, as many plants can produce and transform this compound (Joshua et al., 2020). In no inhibition activity strain TZ10-103, the linoleic acid ethyl ester and hexadecanoic acid, ethyl ester had significantly less peak area than other strains (Table 3 and Fig. S1).
The third compound is phenylethyl alcohol, with a molecular weight of 122 (Intana et al., 2021). This compound, found in several fungi (Piechulla et al., 2017), was the most abundant among the five VOCs produced by T. koningiopsis, T. afroharzianum, T. atroviride and T. virens, all of which inhibited E. colona growth in our study. Phenylethyl alcohol has previously been reported to inhibit germination and development of Arabidopsis at high concentrations (above 100 μM) (Splivallo et al., 2007) and to inhibit the germination and growth of several weed species at concentrations equal to or higher than 102.31 μM (Ulloa‐Benítez et al., 2016). Conversely, it has also acted as a growth-promoting agent for certain plants (Camarena‐Pozos et al., 2018).
The fourth compound, 10(E),12(Z)-conjugated linoleic fatty acid (FA), had the identical mass spectra of VOC found in both Streptomyces strains W47 and W214, which displayed inhibitory effects on E. colona growth and has been reported in inhibit hyphal growth of fungi (Cordovez et al., 2015). We found this compund inhibited E. colona growth from 100 to 1000 μM. Only TZ1-113 didn’t contain 10(E),12(Z)-conjugated linoleic (Fig. S1). This is firstly reports that the 10(E),12(Z)-conjugated linoleic inhibits the germination or growth of weed seeds.
The fifth compound, 2,4,6-trichloroanisole, was produced by Aspergillus oryzae during sake production through the O-methylation of the precursor 2,4,6-trichlorophenol (TCP) (Endo et al., 2022). TCA is known for its off-odor, which can impact wine and water quality and is closely linked to microorganisms (Zhang et al., 2018, Monteiro et al., 2022). In our study, high concentrations of TCA inhibited the shoot length of E. colona growth (den Hartigh et al., 2013), demonstrating the diverse functions of Trichoderma VOCs.
It has been reported that plant growth is significantly influenced by the interactions between cytokinins and auxins (Schaller et al., 2015). Research by Jasmina Kurepa has indicated that cytokinins and auxins act antagonistically at low to medium concentrations and synergistically at high concentrations (Kurepa et al., 2019). In our results, we observed elevated IAA content and reduced ZT content compared to the control. This suggests a potential antagonistic interaction between IAA and ZT, which may be ineffective for promoting E. colona growth. In general, ABA and gibberellic GA play antagonistic roles in regulating seed dormancy and germination. ABA induces seed dormancy and inhibits seed germination, while GA helps break ABA-induced dormancy (Steber and McCourt 2001). However, our results showed higher ABA levels in Trichoderma-treated plants than in the control, with no significant difference in GA content. This suggests that GA might not be present in sufficient quantities to counteract the high ABA concentration. Consequently, the increased ABA concentration may regulated E. colona germination.
In this study, we identified five Trichoderma strains that showed inhibitory on E. colona growth. The selected Trichoderma strains exhibited different capacities in their plant growth-inhibiting traits. E. colona seeds were exposed to VOCs emitted by six Trichoderma strains. T. atroviride VOCs and T. asperellum-VOCs exhibited complete inhibition against the germination of E. colona seeds. In addition, identification of compounds was able to directly apply to inhibiting E. colona growth. The ABA of endogenous hormone may be involved in germination of E. colona. These results supported the VOCs produced Trichoderma strains had biocontrol ability of E. colona through regulating endogenous hormone. These results suggested the applicability of Trichoderma VOCs as bioherbicides for weed control in the agricultural system. Future research will focus on exploring the role of VOCs and endogenous hormones in greater detail.
Funding
Financial support for this work came from the Research Funding of Guangxi Academy of Agriculture Sciences of China (2018JZ27 and 2021YT066), National Natural Science Foundation of China (31760522).
CRediT authorship contribution statement
Tao Zheng: Formal analysis, Investigation, Data curation, Methodology, Writing – original draft, Writing – review & editing. Yong-Lin Ma: Methodology, Conceptualization. Wei-Sheng Li: Methodology, Conceptualization. Jian-Xin Deng: Writing – review & editing. Han Li: Software, Visualization. Ming-Lei Luo: Software, Visualization. Tie-Wei Wang: Conceptualization. Yan-Hui Wang: Supervision, Funding acquisition, Conceptualization, Writing – review & editing.
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Appendix A
Supplementary material
Supplementary data to this article can be found online at https://doi.org/10.1016/j.arabjc.2023.105274.
Appendix A
Supplementary material
The following are the Supplementary data to this article:Supplementary data 1
Supplementary data 1
