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Communication

Secondary Metabolites with Herbicidal and Antifungal Activities from Marine-Derived Fungus Alternaria iridiaustralis

1
College of Plant Health and Medicine, Qingdao Agricultural University, Qingdao 266109, China
2
College of Chemistry and Pharmacy, Qingdao Agricultural University, Qingdao 266109, China
3
Shandong Key Laboratory of Applied Mycology, Qingdao Agricultural University, Qingdao 266109, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Fungi 2023, 9(7), 716; https://doi.org/10.3390/jof9070716
Submission received: 15 May 2023 / Revised: 24 June 2023 / Accepted: 28 June 2023 / Published: 29 June 2023
(This article belongs to the Special Issue Diversity and Secondary Metabolites of Marine Fungi)

Abstract

:
Weed and soil-borne pathogens could synergistically affect vegetable growth and result in serious losses. Investigation of agricultural bioactive metabolites from marine-derived fungus Alternaria iridiaustralis yielded polyketides (14), benzopyrones (57), meroterpenoid derivatives (8), and alkaloid (9). The structures and absolute configurations of new 1, 3, 56, and 8 were elucidated by extensive spectroscopic analyses, as well as comparisons between measured and calculated ECD and 13C NMR data. Compounds 14, 6, and 9 showed herbicidal potentials against the radicle growth of Echinochloa crusgalli seedlings. Especially 9 exhibited inhibition rates over 90% at concentrations of 20 and 40 μg/mL, even better than the commonly used chemical herbicide acetochlor. Furthermore, 9 also performed a wide herbicidal spectrum against the malignant weeds Digitaria sanguinalis, Portulaca oleracea, and Descurainia sophia. Compounds 58 showed antifungal activities against carbendazim-resistant strains of Botrytis cinerea, with minimum inhibitory concentration (MIC) values ranging from 32 to 128 μg/mL, which were better than those of carbendazim (MIC = 256 μg/mL). Especially 6 exhibited integrated effects against both soil-borne pathogens and weed. Overall, marine-derived fungus A. iridiaustralis, which produces herbicidal and antifungal metabolites 19, showed the potential for use as a microbial pesticide to control both weed and soil-borne pathogens.

1. Introduction

Weed seeds widely distributed in soil could compete for nutrients, moisture, and light with vegetables, while soil-borne pathogens could directly invade vegetable roots and further reinforce weed harm [1,2]. For example, Echinochloa crusgalli is the most destructive malignant weed in the rice field [3], while Botrytis cinerea and Fusarium oxysporum are seriously damaging soil-borne pathogens that cause gray mold and wilt diseases of vegetables, respectively [4]. Due to ongoing unrestricted applications of chemical pesticides, weed and soil-borne pathogens have gradually developed multiple resistances, and, especially, no chemical pesticides could control both weed and soil-borne pathogens [5,6]. Therefore, the search for integrated biocontrol alternatives is always in demand.
Suaeda glauca, a kind of salt-tolerant plant, mainly grows in coastal or intertidal zones [7]. Due to its internal and external high-salinity environments, S. glauca has been considered a potential source for various bioactive endophytes, which could produce different interesting secondary metabolites [8,9,10,11,12]. The endophytic genus of Alternaria is a ubiquitous group growing in diverse ecosystems, producing a broad array of secondary metabolites. These metabolites mainly include polyketides, nitrogen-containing compounds, quinones, terpenes, and so on [13,14]. Research on their bioactive potentials mainly focused on the pharmacological applications, such as anticancer, antibacterial, antioxidant, and enzyme inhibitory effects, but there were few reports on their agricultural bioactive potential [13,14,15,16].
During our ongoing search for biocontrol agents in agriculture [8,9,10,17,18], S. glauca-derived endophytic fungus of A. iridiaustralis has attracted our attention because of its integrated potential against both weed and soil-borne pathogens. Our search for agricultural bioactive metabolites obtained nine ones (19), including four polyketides (14), three benzopyrones (57), one meroterpenoid derivative (8), and one alkaloid (9) (Figure 1). The isolation, structural elucidation, and agricultural bioactive evaluation of isolated metabolites are discussed herein.

2. Results and Discussion

2.1. Structure Elucidations

The molecular formula of compound 1 was obtained as C19H26O4 by HRESIMS (Figure S1 in the Supporting Information, SI), implying seven degrees of unsaturation. The one and two-dimensional NMR data (Table 1 and Figure 2) exhibited one carbonyl carbon (δC 167.5 CO) and three double bonds (δC 171.5 C, 170.8 C, 132.7 CH, 131.6 CH, 101.4 C, 98.6 CH), totally accounting for four degrees of unsaturation. Therefore, the remaining three degrees indicate the presence of three rings in the structure of 1.
The decalin ring system, requiring two degrees of unsaturation, was deduced by the consecutive COSY cross-peaks from H-1 to H-10 and from H-2 to H3-17 (Figure 2), while the presence of one pyrone ring was confirmed by the observed HMBC correlations shown in Figure 2. Detailed analyses of its NMR data suggested that the structure of compound 1 was similar to that of solanapyrone B (compound 2) [19], except the signals of one more OCH3 group (δH 3.33 and δC 58.3) were observed in 1H and 13C NMR spectra of 1. The key HMBC correlation between H-16 and this OCH3 carbon further confirmed the linkage between C-16 and the OCH3 group (Figure 2).
Solanapyrone S (compound 3) was confirmed to have the molecular formula C22H32O5 by its HRESIMS data, requiring seven degrees of unsaturation (Figure S9). Its one-dimensional NMR and HSQC data (Table 1 and Figure S13) exhibited marked similarities to those of solanapyrone B (compound 2) [19], except the presence of 2′,3′-butanediol residue (CH3-1′ δH 1.29/δC 15.6, OCH-2′ δH 3.48/δC 81.0, OCH-3′ δH 3.79/δC 71.6, CH3-4′ δH 1.26/δC 18.4) was observed in 1H and 13C NMR spectra of 3. Finally, the consecutive COSY cross-peaks from H3-1′ to H3-4′ and the key HMBC correlation between H-16 and OCH-2′ confirmed the connection between C-16 and 2′,3′-butanediol residue (Figure 2).
The NMR signals of 1 and 3 associated with the decalin unit were almost identical to those of solanapyrone B (2) [19], indicating their same relative configurations, which were confirmed by the key NOE correlations from H-10 to H-2 and H-5, as well as from H-1 to H-12 and H3-17 (Figure 2). The absolute configurations of decalin fragments of 1 and 3 were determined as 1R, 2S, 5R, and 10R via the agreement between the experimental and calculated ECD spectra, showing the same positive Cotton Effect (CE) around 210 nm and the negative CE near 295 nm (Figure 3). While the calculated ECD spectra of (1S, 2R, 5S and 10S)-1 and 3 exhibited mirror-corresponding CEs. The same CEs of 1 and 3 should be related to their common pyrone and cis-decalin ring systems, while the 2′,3′-butanediol residue of 3 was far from the chromophore center and therefore did not exert the obvious effect of its CEs.
The DFT re-optimization of initial MMFF conformers of 1 and 3 at the B3LYP/6-311++g(d, p) level afforded three low-energy conformers above 1% population, respectively (Figures S36 and S37). Their further 13C NMR calculations could support the absolute configurations of the decalin fragments of 1 and 3 assigned by the ECD calculations and also confirm the 2′,3′-butanediol residue of 3 as 2′R and 3′R [20,21]. The correlation coefficients (R2) of 1 and 3 from linear regression analyses between calculated and experimental 13C NMR data were 0.9982 and 0.9979, respectively (Figure S39).
The HRESIMS data for compound 5 demonstrated its molecular formula to be C13H14O6S, indicating seven degrees of unsaturation (Figure S17). The one- and two-dimensional NMR data (Table 2 and Figure 2) exhibited one carbonyl carbon (δC 182.5 CO), six aromatic carbons (δC 164.0 C, 159.9 C, 158.6 C, 105.2 C, 101.2 C, 90.6 CH), and one double bond (δC 167.3 C, 109.3 CH), totally accounting for five degrees of unsaturation. Therefore, the remaining two degrees should be related to the cyclic ring systems.
Detailed analysis of the HMBC spectrum deduces the presence of a benzopyrone skeleton with CH3 (δH 2.39), OH (δH 13.35), and OCH3 (δH 3.95) groups substituted at C-1, C-5, and C-7, respectively (Figure 2). Considering its molecular formula and the representative fragmentation [M—SO2CH3]+ (219.06537), compound 5 should contain a SO2 group, which is rarely found in Alternaria metabolites (Figure S17). The one-dimensional NMR spectra of 5 showed remarkable similarities to those of chaetoquadrin D [22], except that signals of N-ethyl acetamide residue in chaetoquadrin D (SCH2 δH 3.20/δC 52.7, NCH2 δH 3.78/δC 32.8, CO δC 170.2, CH3 δH 1.94/δC 23.2) were absent from the NMR spectra of 5. Instead, SCH3 signals (δH 2.91/δC 41.5) were observed, which was also confirmed by the key HMBC correlation between H-SCH3 to C-11 (Figure 2).
The molecular formula C12H12O3 of compound 6 was assigned on the basis of its HRESIMS data, indicating seven degrees of unsaturation (Figure S23). Detailed analyses of 1H-1H COSY and HMBC spectra confirmed the presence of a benzopyrone skeleton with three CH3 groups (δH 2.30, 2.75, and 2.17) substituted at C-1, C-5, and C-6, respectively (Figure 2). One-dimensional NMR spectra of 6 were almost identical to those of chaetosemin D (7) [23], except that signals of 2′-hydroxy propyl residue in 7 (CH2-1′ δH 2.69/δC 44.1, OCH-2′ δH 4.20/δC 66.9, CH3-3′ δH 1.29/δC 23.5) were absent from NMR spectra of 6. Instead, CH3 signals (δH 2.30/δC 19.7) were observed in 6.
Compound 8 showed the molecular formula C13H22O3 as determined by HRESIMS, suggesting three degrees of unsaturation (Figure S28). Its NMR data (Table 2 and Figure 2) exhibited one carbonyl carbon (δC 203.0 CO) and one double bond (δC 161.0 C, 126.1 CH), which indicated two degrees of unsaturation. Therefore, the remaining one degree should be related to the presence of one cyclic ring, which was also confirmed by the 1H-1H COSY and HMBC spectra (Figure 2). The ethyl and 3′-hydroxy butyl residues were deduced by the consecutive COSY cross-peaks from H2-8 to H3-9 and from H3-1′ to H3-4′. The key HMBC correlations from H3-7 to C-1, 6 and 8, as well as from H-2′ to C-2, 3 and 4, finally connected the ethyl and 3′-hydroxy butyl residues to C-6 and C-3, respectively.
The relative configuration of the cyclohexanone skeleton in compound 8 was deduced by the key NOE correlation from H-5 to H3-7 (Figure 2). The agreement of experimental and calculated ECD spectra of 8, showing the same positive CE around 240 nm and negative CEs near 210 and 330 nm, confirmed the absolute configurations of the cyclohexanone fragment as 5R and 6R (Figure 3). Its further 13C NMR calculation deduced the absolute configuration of 3′-hydroxy butyl group as 2′S and 3′S [20,21]. The correlation coefficient (R2) of 8 from linear regression analysis between calculated and experimental 13C NMR data was 0.9948 (Figures S38 and S39).
The isolation of bioactive fractions from the culture extract also resulted in other known metabolites, including polyketides (2 and 4), benzopyrone (7), and alkaloids (9). Their structures were determined by detailed analyses of their spectroscopic data and comparisons with previously published reports as follows: solanapyrone B (2) [19], probetaenone I (4) [24], chaetosemin D (7) [23], and tenuazonic acid (9) [25]. All known metabolites (2, 4, 7, and 9) were first isolated from the species of A. iridiaustralis.

2.2. Herbicidal and Antifungal Evaluations

The isolated metabolites (19) were evaluated for their herbicidal and antifungal activities. The herbicidal potential was assessed using the representative malignant weed E. crusgalli, while the antifungal activity was assessed using two groups of representative soil-borne pathogens: carbendazim-resistant isolates of B. cinerea from grape (BCG) and strawberry (BCS), as well as F. oxysporum strains of F. oxysporum f. sp. cucumerinum (FOC) and F. oxysporum f. sp. Lycopersici (FOL).
The polyketides 14, benzopyrone 6, and alkaloid 9 showed herbicidal potentials against the radicle growth of E. crusgalli seedlings with a dose-dependent relationship (Table 3). Especially, 9 exhibited significant inhibition rates over 90% at concentrations of 20 and 40 μg/mL, even better than the commonly used chemical herbicide acetochlor, while 6 showed moderate inhibition rates of 60.3% and 72.6%, respectively (Table 3 and Figure 4). The further bioassay of the herbicidal spectrum of 9 suggested that it performed significant herbicidal potential against the malignant weed Digitaria sanguinalis, almost identical to that of acetochlor (Figure S40), while 9 also exhibited moderate activities against Portulaca oleracea and Descurainia sophia (Table S1). The preliminary structure-activity analysis of solanapyrone polyketides 13 indicated that the substituted group at C-16 should be related to their herbicidal activities.
Benzopyrones 56 and meroterpenoid derivative 8 showed antifungal potentials against two carbendazim-resistant strains of B. cinerea with MIC values ranging from 32 to 64 μg/mL, significantly better than those of carbendazim (MIC = 256 μg/mL) (Table 3). B. cinerea could widely invade various crops and vegetables during both the pre- and post-harvest stages. More seriously, its resistance to commonly used fungicides was developing year by year, also resulting in higher pesticide residue [4]. The antifungal target of carbendazim was related to β-tubulin proteins [26], suggesting that the antifungal mechanisms of 56 and 8 should be different from that of carbendazim. Furthermore, 68 also exhibited moderate antifungal activities against two F. oxysporum strains.
Alkaloid 9, possessing a relatively simple skeleton and a wide herbicidal spectrum, showed the potential for use as a bio-herbicide. Although the antifungal and herbicidal activity of 6 was weaker than that of 8 and 9, respectively, its integrated agricultural potential against both soil-borne pathogens and weeds indicated its application in the development of bio-pesticides.

3. Materials and Methods

3.1. General Procedures

NMR spectra were recorded at 500 and 125 MHz for 1H and 13C, respectively, on a Bruker Avance III spectrometer (Bruker, Rheinstetten, Germany). HRESIMS data were determined on a mass spectrometer of Thermo Scientific Orbitrap Fusion Lumos Tribrid (Thermo Scientific, MA, USA) and analyzed using Thermo Xcalibur 4.2 SP1. The circular dichroism (CD) spectrum was acquired on a JASCO J-810 CD spectrometer (JASCO, Tokyo, Japan). Column chromatography (CC) was performed with Silica gel (200–300 mesh; Qingdao Haiyang Chemical Co., Qingdao, China), Lobar LiChroprep RP-18 (40–63 μm; Merck, Kenilworth, NJ, USA), and Sephadex LH–20 (18–110 μm; Merck, Kenilworth, NJ, USA). Semi-preparative HPLC (semi-pHPLC) was performed using a Dionex HPLC system equipped with a P680 pump (flow rate: 3 mL/min), an ASI-100 automated sample injector, and a UVD340U multiple wavelength detector (Detection wavelength: 230 nm) controlled using Chromeleon software, version 6.80 (Dionex Corporation, Sunnyvale, CA, USA).

3.2. Fungal Strain and Weed Seeds

The fungal strain of A. iridiaustralis was isolated from the root of S. glauca, which was collected from the intertidal zone of the Yellow River Delta, Dongying, China, in October 2021. The fungus was identified on the basis of morphological characteristics and molecular analyses of the ITS (Internal Transcribed Spacer)-5.8S rDNA region sequence [10]. The strain was deposited in the Green Pesticide Development Laboratory, Qingdao Agricultural University. F. oxysporum strains, as well as weed seeds of E. crusgalli, D. sanguinalis, P. oleracea, and D. sophia, were provided by the College of Plant Disease, Qingdao Agricultural University, while carbendazim-resistant strains of B. cinerea were isolated and identified by the Green Pesticide Development Laboratory.

3.3. Fermentation, Extraction, and Isolation

The fungus A. iridiaustralis was transferred to PDA medium and cultured at 28 °C for 7 days. Then pieces of fresh mycelia were inoculated and statically fermented at 28 °C for 30 days on the solid rice medium, which was conducted in 40 × 1 L conical flasks containing rice (100 g/flask), peptone (0.6 g/flask), and natural seawater (100 mL/flask).
The fungal culture was exhaustively extracted using ethyl acetate (EtOAc) to obtain a crude extract (12.6 g), which was fractionated via silica gel vacuum liquid chromatography with the eluting gradient of petroleum ether/EtOAc (40:1, 20:1, 10:1, 5:1, and 1:1) and then dichloromethane (CH2Cl2)/methanol (MeOH) (20:1, 10:1, 5:1, and 1:1) to yield nine fractions [Fractions (Frs.) 1–9].
Antagonistic Fr. 5 was purified via CC over RP-C18 eluting with a MeOH−H2O gradient (from 1:9 to 1:0) to obtain six subfractions (Fr.5-1 to 5-6). Fr.5-2 was isolated via CC over Sephadex LH-20 (MeOH) to yield two subfractions; one was purified using semi-pHPLC (35% MeOH−H2O) to obtain compounds 5 (8.2 mg, tR 11.2 min), 6 (12.3 mg, tR 14.5 min), and 7 (9.1 mg, tR 17.9 min), while the other used semi-pHPLC (40% MeOH−H2O) to obtain compound 8 (4.4 mg, tR 13.7 min). Fr.5-3 was first separated via CC over Sephadex LH-20 (MeOH) and then purified using semi-pHPLC (53% MeOH−H2O) to obtain compounds 9 (21.7 mg, tR 16.3 min) and 4 (13.8 mg, tR 19.7 min). Fr.5-4 was first isolated via semi-pHPLC (70% MeOH−H2O) and then via CC over Sephadex LH-20 (acetone) to obtain compounds 1 (6.6 mg), 2 (9.2 mg), and 3 (6.8 mg).
16-methoxy solanapyrone B (1): White powder. [α ] D 24 = –42.4, c 1.15, CHCl3; UV (CH3OH) λmax (log ε) 205 (2.31), 302 (1.15) nm; ECD (CH3OH) λmax ([θ]) 298 (–30.64), 207 (+59.15) nm; 1H and 13C NMR data, see Table 1; HRESIMS m/z 319.19006 [M + H]+ (calcd for C19H27O4, 319.19039; Mass error: –3.26 ppm).
Solanapyrone S (3): White powder. [α ] D 24 = –53.7, c 1.22, CHCl3; UV (CH3OH) λmax (log ε) 206 (2.29), 304 (1.08) nm; ECD (CH3OH) λmax ([θ]) 298 (–21.92), 206 (+88.03) nm; 1H and 13C NMR data, see Table 1; HRESIMS m/z 399.21359 [M + Na]+ (calcd for NaC22H32O5, 399.21420; Mass error: –6.05 ppm).
Alternanone A (5): White powder. [α ] D 24 = +11.4, c 0.94, CH3OH; UV (CH3OH) λmax (log ε) 206 (4.37), 238 (3.81), 255 (4.02), 298 (3.06) nm; 1H and 13C NMR data, see Table 2; HRESIMS m/z 299.05847 [M + H]+ (calcd for C13H15O6S, 299.05839; Mass error: 0.85 ppm), 219.06537 [M—SO2CH3]+.
Alternanone B (6): White powder. [α ] D 24 = +9.8, c 0.93, CH3OH; UV (CH3OH) λmax (log ε) 205 (4.47), 235 (3.72), 254 (4.06), 296 (3.11) nm; 1H and 13C NMR data, see Table 2; HRESIMS m/z 205.08658 [M + H]+ (calcd for C12H13O3, 205.08592; Mass error: 6.59 ppm).
Alternanone C (8): White powder. [α ] D 24 = +8.4, c 1.07, CH3OH; UV (CH3OH) λmax (log ε) 208 (2.31), 242 (2.04), 328 (1.03) nm; ECD (CH3OH) λmax ([θ]) 330 (–2.45), 240 (+17.12), 212 (–3.93) nm; 1H and 13C NMR data, see Table 2; HRESIMS m/z 227.16408 [M + H]+ (calcd for C13H23O3, 227.16417; Mass error: –0.91 ppm).

3.4. Calculations of ECD and 13C NMR Data

Conformational searches were carried out by means of the Merck Molecular Force Field (MMFF) using Spartan’s 10 software. The conformers with a Boltzmann population over 1% were chosen for ECD and 13C NMR data calculations. The optimized geometries of predominant conformers (weighting factors) for compounds 1, 3, and 8 at the B3LYP/6-311++g(d, p) level above 1% population were shown in Figures S36–S38, respectively. Further calculations of their ECD and 13C NMR data were performed as described previously [10,17,21].

3.5. Herbicidal and Antifungal Evaluations

Herbicidal bioassays of compounds 19 against E. crusgalli were performed using the grinded plant tissue powders mixed with agar method as described previously [9,10]. Briefly, weed seeds were pretreated with sodium hypochlorite (0.2%) for 15 min and then soaked with flowing water for 4–6 h. Wet seeds were germinated for 12 h on the moist filter paper under 28 °C in a dark condition. Isolated compounds were dissolved with methanol to obtain sample solutions of different concentrations. 1 mL sample solution and 99 mL water (containing 0.5 g agar) were mixed to yield the agar solution (1% methanol), which was further divided into three beakers. Subsequently, germinated seeds with the same radicle lengths were planted into beakers and then cultivated in the artificial climate box under a 28 °C light-avoidance condition. After 3 days, the stem and root lengths of weed seedlings were measured and compared to the untreated control. The inhibition rate was calculated using the formula as follows:
Inhibition rate (%) = [(LcontrolLtreatment)/Lcontrol] × 100
Due to the significant herbicidal potential of 9, its herbicidal spectrum was further evaluated using malignant weeds D. sanguinalis, P. oleracea, and D. Sophia, which were widely distributed in North China, resulting in serious economic losses.
Antifungal bioassays of isolated metabolites (19) against two groups of representative soil-borne phytopathogens, including carbendazim-resistant isolates of B. cinerea from grape (BCG) and strawberry (BCS), as well as F. oxysporum strains of F. oxysporum f. sp. cucumerinum (FOC) and F. oxysporum f. sp. Lycopersici (FOL), were performed using the broth microdilution method in 96-well plates [17,18]. Briefly, isolated compounds, dissolving in 50% DMSO aqueous solution, were added 5 μL per well to 95 μL Potato Dextrose Broth (PDB). 96-well plates with B. cinerea and F. oxysporum strains were cultivated at 25 °C and 28 °C for three days, respectively.

4. Conclusions

An investigation of agricultural bioactive metabolites from the marine-derived fungus A. iridiaustralis obtained nine metabolites (19), including five novel ones (1, 3, 56, and 8). Their structures and absolute configurations were elucidated by extensive spectroscopic analyses as well as comparisons between measured and calculated ECD and 13C NMR data. Compounds 14, 6, and 9 showed herbicidal potential against the radicle growth of E. crusgalli seedlings. Especially 9 exhibited inhibition rates over 90% at concentrations of 20 and 40 μg/mL, even better than the chemical herbicide acetochlor. Furthermore, 9 also performed a wide herbicidal spectrum against malignant weeds D. sanguinalis, P. oleracea, and D. Sophia. Compounds 58 showed antifungal activities against carbendazim-resistant strains of B. cinerea that were better than those of carbendazim. Although the antifungal activity of 6 was weaker than that of 8, its integrated agricultural potential against both weeds and soil-borne pathogens indicated its application in the development of bio-pesticides. Overall, the marine-derived fungus A. iridiaustralis, which produces herbicidal and antifungal metabolites 19, showed the potential for use as a microbial pesticide to control both weed and soil-borne pathogens.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof9070716/s1, 1D and 2D NMR spectra, HRESIMS data of compounds 1, 3, 56 and 8 are available as Supporting Information. The Figures S1–S40 and Table S1 were listed in Supporting Information.

Author Contributions

J.F. and F.G. both performed the experiments for the isolation and bioactivity evaluation of the isolated compounds; C.Z., H.L. and T.Q. contributed to the antagonistic evaluation; F.D. determined the structures of the isolated compounds; L.X. and F.D. supervised the research and also prepared the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Natural Science Foundation of China (No. 32170404), Innovation Improvement Project of Scientific and Technological Minor Enterprises of Shandong Province (No. 2021TSGC1249), and Qingdao Science and Technology Demonstration Project for Agriculture Innovation (No. 22-3-7-xdny-6-nsh).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The research data were available in Supporting Information.

Acknowledgments

The authors sincerely thank Shi-hai Yan (S.-H.Y.) for help with the quantum chemical calculations.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Chemical structures of isolated compounds 19.
Figure 1. Chemical structures of isolated compounds 19.
Jof 09 00716 g001
Figure 2. Key COSY (bond lines), HMBC (arrows), and NOE (dashed lines) correlations of 1, 3, 56 and 8.
Figure 2. Key COSY (bond lines), HMBC (arrows), and NOE (dashed lines) correlations of 1, 3, 56 and 8.
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Figure 3. Comparisons of calculated ECD spectra with experimental ones of compounds 1, 3 and 8 in CH3OH.
Figure 3. Comparisons of calculated ECD spectra with experimental ones of compounds 1, 3 and 8 in CH3OH.
Jof 09 00716 g003
Figure 4. Herbicidal potentials of 6 and 9 against the growth of E. crusgalli seedlings.
Figure 4. Herbicidal potentials of 6 and 9 against the growth of E. crusgalli seedlings.
Jof 09 00716 g004
Table 1. 1H (500 MHz) and 13C (125 MHz) NMR data of 1 and 3 (CD3OD, δ: ppm).
Table 1. 1H (500 MHz) and 13C (125 MHz) NMR data of 1 and 3 (CD3OD, δ: ppm).
Compound 1Compound 3
No.δC (type)δH (Mult., J in Hz)δC (type)δH (Mult., J in Hz)
147.7, CH2.63, t (10.9)47.7, CH2.80, dd (11.7, 10.0)
236.5, CH2.55, m36.5, CH2.71, m
3131.6, CH5.47, dd (10.5, 2.0)131.6, CH5.64, dd (10.0, 1.7)
4132.7, CH5.69, dd (10.5, 2.5)132.7, CH5.85, dd (10.0, 2.6)
538.5, CH2.16, m38.5, CH2.32, m
630.9, CH21.71, m; 1.25, m30.9, CH21.87, m; 1.41, m
729.5, CH21.38, m29.5, CH21.56, m
827.3, CH21.73, m; 1.22, m27.3, CH21.91, m; 1.36, m
921.9, CH21.45, m21.9, CH21.62, m
1037.6, CH2.24, m37.6, CH2.40, m
11170.8, C 170.6, C
1298.6, CH6.67, s98.7, CH6.84, s
13171.5, C 171.1, C
13-OCH357.9, CH33.99, s57.9, CH34.15, s
14101.4, C 102.1, C
15167.5, CO 167.8, CO
1664.1, CH24.31, s61.3, CH24.68, d (10.4); 4.52, d (10.4)
16-OCH358.3, CH33.33, s
1720.5, CH30.96, d (7.0)20.5, CH31.12, d (7.0)
1′ 15.6, CH31.29, d (6.3)
2′ 81.0, CH3.48, ov
3′ 71.6, CH3.79, m
4′ 18.4, CH31.26, d (6.4)
ov: overlapped 1H NMR signals.
Table 2. 1H (500 MHz) and 13C (125 MHz) NMR data of 56 and 8 (δ: ppm).
Table 2. 1H (500 MHz) and 13C (125 MHz) NMR data of 56 and 8 (δ: ppm).
Compound 5Compound 6 Compound 8
No.δCδHδCδHNo.δCδH
1167.3, C 165.7, C 1203.0, CO
2109.3, CH6.10, s111.5, CH5.97, s2126.1, CH5.88, s
3182.5, C 182.4, C 3161.0, C
4105.2, C 115.1, C 432.0, CH22.63, dd (18.3, 3.7)
2.53, dd (18.3, 6.0)
5159.9, C 140.8, C 573.1, CH4.02, m
6101.2, C 124.7, C 649.9, C
7164.0, C 162.3, C 718.5, CH31.09, s
890.6, CH6.45, s100.7, CH6.65, s823.4, CH21.70, q (7.5)
9158.6, C 159.4, C 97.7, CH30.86, t (7.5)
1020.7, CH32.39, s19.7, CH32.30, s1′15.5, CH31.08, ov
1149.4, CH24.45, s17.6, CH32.75, s2′49.6, CH2.30, m
12 11.6, CH32.17, s3′70.2, CH3.80, dt (12.9, 6.0)
5-OH 13.35, s 4′21.4, CH31.25, d (6.0)
SCH341.52.91, s
7-OCH356.63.95, s
Compounds 5 and 8 were determined using CDCl3, while 6 using CD3OD (1H of 500 MHz and 13C of 125 MHz), respectively; ov: overlapped 1H NMR signals.
Table 3. Herbicidal (Inhibition rates: %) and antifungal (MIC: μg/mL) potentials of the isolated metabolites 19.
Table 3. Herbicidal (Inhibition rates: %) and antifungal (MIC: μg/mL) potentials of the isolated metabolites 19.
No.Herbicidal ActivitiesAntifungal Activities
40 μg/mL2010BCGBCSFOCFOL
157.1 ± 3.1c45.4 ± 2.9d<20
261.3 ± 2.4c50.4 ± 1.2d23.7 ± 2.6c
343.1 ± 1.7d28.9 ± 3.0fn.d.
450.4 ± 2.3cd36.2 ± 3.5en.d.
5n.d.n.d.6464
672.6 ± 1.9b60.3 ± 2.4c30.1 ± 2.2b6464128256
7n.d.n.d.128128256256
8n.d.n.d.3232128256
998.3 ± 0.3a90.2 ± 1.5a67.3 ± 2.7a
CK91.7 ± 3.4a80.4 ± 2.1b74.2 ± 1.5a25625688
CK of herbicidal and antifungal bioassays were commonly used chemical pesticides acetochlor and carbendazim, respectively; “—”: no activity; n.d.: not detected. Different lowercase letters in a column indicated the means were significantly different at p < 0.05.
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Fan, J.; Guo, F.; Zhao, C.; Li, H.; Qu, T.; Xiao, L.; Du, F. Secondary Metabolites with Herbicidal and Antifungal Activities from Marine-Derived Fungus Alternaria iridiaustralis. J. Fungi 2023, 9, 716. https://doi.org/10.3390/jof9070716

AMA Style

Fan J, Guo F, Zhao C, Li H, Qu T, Xiao L, Du F. Secondary Metabolites with Herbicidal and Antifungal Activities from Marine-Derived Fungus Alternaria iridiaustralis. Journal of Fungi. 2023; 9(7):716. https://doi.org/10.3390/jof9070716

Chicago/Turabian Style

Fan, Jinqing, Fangfang Guo, Chen Zhao, Hong Li, Tianli Qu, Lin Xiao, and Fengyu Du. 2023. "Secondary Metabolites with Herbicidal and Antifungal Activities from Marine-Derived Fungus Alternaria iridiaustralis" Journal of Fungi 9, no. 7: 716. https://doi.org/10.3390/jof9070716

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