Next Article in Journal
1H NMR-Based Metabolomics in Pediatric Acute Lymphoblastic Leukemia: A Pilot Study of Plasma and Cerebrospinal Fluid Profiles
Previous Article in Journal
Untargeted Sweat and Sebum Volatilomics by HS-SPME-GC/ToF-MS for the Identification of SARS-CoV-2-Associated Biomarkers
Previous Article in Special Issue
Characterization of Volatile Organic Compounds Released by Penicillium expansum and Penicillium polonicum
 
 
Due to scheduled maintenance work on our servers, there may be short service disruptions on this website between 11:00 and 12:00 CEST on March 28th.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Two New Pentadepsipeptides from the Mangrove Fungus Aspergillus sp. SCSIO 41443

1
Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China
2
State Key Laboratory of Tropical Oceanography/Guangdong Key Laboratory of Marine Materia Medica, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
Shenzhen Clinical College of Integrated Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen 518104, China
*
Authors to whom correspondence should be addressed.
Metabolites 2026, 16(3), 159; https://doi.org/10.3390/metabo16030159
Submission received: 12 January 2026 / Revised: 20 February 2026 / Accepted: 22 February 2026 / Published: 27 February 2026
(This article belongs to the Special Issue Mycotoxins and Fungal Secondary Metabolism)

Abstract

Background: Mangrove fungi are a prolific source of structurally diverse natural products. Among these, natural peptides with varied biological activities hold high commercial value and have been successfully developed into drugs for treating numerous diseases. Methods: Following rice solid-state fermentation of the strain, extracellular metabolites were extracted from the culture filtrate to obtain a crude extract. Cyclic depsipeptides were isolated from the crude extract by silica gel vacuum liquid chromatography for preliminary fractionation and enrichment, followed by high-performance liquid chromatography (HPLC) purification. The structures of the compounds were determined based on extensive spectroscopic analysis (1D and 2D NMR, ESI-MS-MS analysis) and Marfey’s method for amino acid configuration assignment. Results: Ultimately, two new compounds, aspertides F (1) and G (2), and three known compounds, aspertides C, D, and A (35), were identified. The bioassays indicated that these compounds exhibited weak activity against acetylcholinesterase and neuraminidase. Conclusions: The research findings on this strain have not only enriched the metabolic resource library of mangrove fungi but also highlighted their diverse biological activities and significant application potential.

Graphical Abstract

1. Introduction

Mangrove forests represent a typical extreme intertidal environment that fosters rich and diverse microbial communities [1]. Unlike most ecosystems, mangroves are characterized by tidal action, high salinity, and anoxic soils [2]; these conditions exert intense natural selection pressure on microorganisms, driving the evolution of unique and efficient metabolic pathways. The microorganisms isolated from mangrove samples encompass multiple genera of fungi, bacteria, and other groups, among which Aspergillus fungi represent one of the most extensively studied and representative taxa. However, international research on microbial natural products derived from Sri Lankan mangroves remains extremely limited, with scarce information available regarding their chemical profiles and biological activities. Therefore, this study focuses on regionally distinctive strains from this unique ecological niche, aiming not only to explore potentially novel compounds within their metabolic profiles but also to elucidate the metabolic potential and adaptive strategies of microorganisms in this specific habitat from the perspective of chemical diversity. The work is expected to provide a new, ecologically informed, and regionally distinctive direction for natural product discovery.
At present, a wealth of structurally novel metabolites has been identified from marine Aspergillus fungi. Based on their structures, these compounds are mainly classified into butenolides [3], alkaloids [4], terpenes [5], polyketides [6], and cyclic peptides [7], among others, and exhibit various biological activities such as antibacterial [8], anti-inflammatory [9], and antitumor [10] effects. The dimeric compound brevianamide S [11] isolated from Aspergillus versicolor exhibits significant antibacterial activity against Bacille Calmette-Guerin (BCG). Variecolortins B and C [12], a pair of enantiomers isolated from the marine sediment-derived fungus Eurotium sp. SCSIO F452, exhibit distinct antioxidant and cytotoxic activities. The study of Aspergillus secondary metabolites expands the natural product database and provides molecular resources for marine drug development.
Among them, peptides are important and unique natural products that contain both ester and amide bonds. They exist in many marine microorganisms and are closely related to the biosynthesis of nonribosomal peptide synthetases [13]. Most of the reported peptides show good antibacterial activity [14,15], which makes them promising compounds for antibiotic discovery. In this study, we focused our research on the strain Aspergillus sp. SCSIO 41443. As shown in Figure 1, two new cyclic peptide compounds, named aspertides F (1) and G (2), together with three known peptides, aspertides C, D, and A (35) [16], from the extract of the strain cultured in rice medium. This study reports the fermentation, isolation, structural elucidation, and bioassay screening of these compounds.

2. Materials and Methods

2.1. General Experimental Procedures

UV spectra were recorded on a UV-2600 PC spectrometer (Shimadzu, Beijing, China). IR spectra were acquired on an IR Affinity-1 spectrometer (Shimadzu, Beijing, China). Optical rotations were measured on an Anton Paar MPC500 polarimeter (Anton, Graz, Austria). Circular Dichroism (CD) spectra were measured on a Chirascan spectrometer (Applied Photophysics, Leatherhead, UK). NMR spectra were acquired with tetramethylsilane as the internal standard, using the following spectrometers: a Quantum-I Plus operating at 500 MHz for 1H and 125 MHz for 13C (Q-one Instrument Co., Ltd., Wuhan, China); and an AVANCE III HD operating at 700 MHz for 1H and 175 MHz for 13C (Bruker Switzerland AG, Fällanden, Switzerland). High-resolution electrospray ionization mass spectrometry (HR-ESI-MS) was performed using a Bruker maXis Q-TOF instrument (Bruker BioSpin International AG, Fällanden, Switzerland). Semipreparative high-performance liquid chromatography (HPLC) separation was carried out using the Hitachi Primaide system (Hitachi, Tokyo, Japan) equipped with a DAD detector and an ODS column (ChromCore 120 C18, 10 × 250 mm, 5 μm). Rotary evaporator column chromatography (CC) was carried out with silica gel (200−300 mesh; Qingdao Marine Chemical Factory, Qingdao, China) and ODS (50 μm; Merck, Rahway, NJ, USA). For column chromatography, methanol, ethyl acetate, petroleum ether, and dichloromethane (analytically pure, Tianjin Damao Chemical Reagent Factory, Tianjin, China) were employed as eluents. Medium-pressure preparative chromatography was performed on an LC3000 system (BÜCHI Labortechnik AG, Flawil, Switzerland). Ultrasonic treatment was performed using a KQ-250DB ultrasonic cleaner (Yuhua Instrument Co., Ltd., Gongyi, China). Rotary evaporation was carried out on an EYELAN-1001 rotary evaporator (Ailang Instrument Co., Ltd., Shanghai, China). Vacuum was provided by an SHZ-CB circulating water vacuum pump (Yuhua Instrument Co., Ltd., Gongyi, China).

2.2. Statistical Analysis and Data Processing (Enzyme-Inhibitory Activity)

In the bioactivity assays, the reagents used also included phosphate-buffered saline (PBS, pH 7.4) (Sersvicebio, Wuhan, China), 5,5′-Dithio bis-(2-nitrobenzoic acid) (DTNB) (Macklin, Shanghai, China), acetylthiocholine iodide (Sigma-Aldrich Co., St. Louis, MO, USA), acetylcholinesterase (Macklin, Shandong, China), tacrine (Macklin, Shandong, China), and a neuraminidase inhibitor screening kit (Beyotime, Shanghai, China). The absorbance was measured at the required wavelength using a microplate reader (Thermo Fisher Multiskan FC, Waltham, MA, USA).
Statistical analysis and data visualization were performed using Origin 2024. Molecular docking simulations were carried out with AutoDock 4.2.6 (The Scripps Research Institute, San Diego, CA, USA). Protein and ligand samples were prepared using AutoDock Tools 1.5.7 (The Scripps Research Institute, San Diego, CA, USA), and the resultant structures were visualized via PyMOL 3.1.3 (Schrödinger, LLC, New York, NY, USA).

2.3. Isolation, Cultivation, and Identification of Fungal Aspergillus Strains

The fungal strain Aspergillus sp. SCSIO 41443 was obtained from sediment samples collected at Mangrove Park (NARA), Sri Lanka. This strain is maintained at the CAS Key Laboratory of Tropical Marine Bioresources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China. Based on Basic Local Alignment Search Tool (BLAST, ver.2.14.1+) analysis of the Internal Transcribed Spacer (ITS) sequence (Supplementary Materials), which showed 98% similarity to Aspergillus tamarii, the strain was designated as Aspergillus sp. SCSIO 41443. The sequence was deposited in GenBank with the accession number PX915610.
Strain identification was performed by Beijing Tsingke Biotechnology Co., Ltd., Beijing, China.

2.4. Fermentation, Extraction, Isolation, and Purification

The strain Aspergillus sp. SCSIO 41443 was statically cultivated on Marine Agar (MA) medium and then was cultured in 200 mL seed medium (1.5% malt extract, 2.0% sea salt) in 1 L Erlenmeyer flasks at 26 °C for 3 days on a rotary shaker (180 rpm). A large-scale fermentation was conducted in 48 units of 1L flasks containing a rice medium (150 g rice, 3.2% sea salt, and 150 mL H2O). The cultures were incubated statically at 26 °C for 28 days. Fungal mycelia and culture medium were blended with ethyl acetate (EtOAc) in a 1:1 (v/v) ratio, followed by ultrasound extraction for 20 min. After extraction, the mixture was filtered to remove fungal mycelial biomass, and the organic phase was separated. After three repeated extractions, the combined organic supernatants were rotary-evaporated to dryness, yielding 63 g (d/w) of crude extract.
The ethyl acetate extract was pretreated by mixing with silica gel (300−400 mesh) in a 1:1 (w/w) ratio. Subsequently, based on a 1:3 (w/w) mass ratio of the sample to the stationary phase (100−200 mesh silica gel), the silica was weighed for dry packing of the column. The pre-adsorbed sample was then loaded onto the column and fractionated via vacuum liquid chromatography (VLC) using a gradient elution method. The separation was achieved using a step gradient elution program. The column was first eluted with petroleum ether (PE)-dichloromethane (DCM) (ν:ν 1:0, 3:1, 1:1, 1:3, 0:1) and DCM-methyl alcohol (CH3OH) (ν:ν 100:1, 50:1, 100:3, 20:1, 5:1, 2:1, 0:1). The entire elution process was monitored by analytical thin-layer chromatography (TLC) under UV light (254 nm). Based on the similarity of TLC profiles (Rf values, spot patterns), the collected eluates were pooled, resulting in a total of 14 fractions (Frs. 1−14). Fr. 10 to Fr. 12 were merged and then purified on an ODS silica gel column. Using a CH3OH/H2O gradient (5−100%) as the eluent, 6 subfractions were obtained, designated as Frs. 10-1 to 10-6. Based on this, Fr. 10-4 was purified by semipreparative HPLC (60% CH3CN/H2O, 3.0 mL/min), yielding three compounds: compound 3 (9.47 mg, tR 11.5 min), compound 4 (6.76 mg, tR 19.5 min), and compound 5 (9.61 mg, tR 15.7 min). Compound 1 (1.69 mg, tR 13.2 min) was purified from Fr. 10-4-3 by semipreparative HPLC (40% CH3CN/H2O, 2.5 mL/min). Similarly, compound 2 (2.33 mg, tR 17.5 min) was obtained from Fr. 10-4-5 under the same chromatographic conditions.

2.5. Amino Acid Hydrolysis and Chiral HPLC Analysis

The hydrolysis and derivatization procedures were performed following a previously described method [17], with modifications. Briefly, compounds 1 and 2 (0.5 mg each) were, respectively, hydrolyzed with 1 mL of 6 M HCl at 115 °C for 24 h. After cooling, the solution was evaporated to dryness. The resulting hydrolysate was then mixed with 100 μL of H2O, 100 μL of 1% FDAA (Marfey’s reagent, 1-fluoro-2,4-dinitrophenyl-5-L alanine amide) in acetone, and 20 μL of 1 M NaHCO3. The reaction mixture was incubated at 40 °C for 2 h and subsequently quenched by adding 20 μL of 1 M HCl. For comparison, standard amino acids D/L-proline (Pro), D/L-alanine (Ala), D/L-pipecolinic (Pip), D/L-threonine (Thr) were derivatized with FDAA using the same procedure. The dried mixture was dissolved in CH3CN and analyzed by HPLC on the Hitachi Primaide system equipped with a DAD detector (Hitachi, Tokyo, Japan). The separation was achieved using a Nano ChromCore C18 column (5 μm, 250 × 10 nm) with a mobile phase consisting of CH3CN and H2O (0.04% formic acid). A linear gradient starting from 15% to 55% CH3CN over 55 min was applied at a flow rate of 2 mL/min. Finally, the retention times of the FDAA derivatives of compounds 12 were compared with those of the derivatized standard amino acids (see Figures S22 and S23).

2.6. Acetylcholinesterase Inhibitory Activity

Based on a molecular networking screening, compounds 15 were chosen for subsequent evaluation of their inhibitory activity against AChE. In vitro experiments were performed using a 96-well plate method according to the modified Ellman assay [18]. AChE (U denotes enzyme activity units) was prepared as a 0.1 U/mL working solution in potassium PBS, with a final reaction concentration of 0.02 U/mL; the final concentration of compounds 15 was 50 μg/mL. After incubating the 96-well plate at 30 °C for 20 min, a mixture of acetylthiocholine iodide and DTNB (mixed in equal volumes immediately before use) was added to achieve a final reaction concentration of 0.625 mM. The reaction system was incubated at 30 °C for 30 min, and absorbance was measured at a wavelength of 405 nm using a microplate reader, with tacrine serving as the positive control.
All assays were performed in triplicate in 96-well microplates, with separate groups including the test sample group, negative control group (DMSO solvent), positive control group (tacrine), and background control group without enzyme. The inhibition rate was calculated after correction for background absorbance according to the following formula:
I n h i b i t i o n   r a t e   ( % ) =   B B 0 ( A A 0 ) B B 0 × 100 %
where A and A0 represent the absorbance values of the test group and its background control, respectively, and B and B0 denote those of the negative control group and its corresponding blank control, respectively. Compounds with an inhibition rate higher than 10% were considered to exhibit significant AChE inhibitory activity.

2.7. Neuraminidase Inhibitory Activity

The inhibitory activities of compounds 15 were evaluated using a neuraminidase inhibitor screening kit. Test samples were prepared at a concentration of 0.5 mg/mL. Briefly, neuraminidase assay buffer, neuraminidase, and Milli-Q water were sequentially added to a 96-well plate according to the manufacturer’s instructions. The mixture was gently mixed and incubated at 37 °C for 2 min to allow sufficient interaction between the inhibitors and neuraminidase. Subsequently, the neuraminidase fluorescent substrate was added to a final volume of 100 μL. After incubation at 37 °C for 30 min, the fluorescence intensity of the reaction mixture was measured with a multifunctional microplate reader at an excitation wavelength of 322 nm and an emission wavelength of 450 nm. The inhibition rate of samples against neuraminidase was calculated based on the standard curve. For compounds showing inhibitory activity in the screening assay, the half-maximal inhibitory concentration (IC50) was determined via dose–response experiments.

2.8. Molecular Docking

Molecular docking was performed using AutoDock 4.2.6 [19]. First, the crystal structure of acetylcholinesterase [20] (PDB code: 4EY7) was preprocessed in AutoDock Tools 1.5.7 by adding hydrogen atoms, assigning partial charges, and defining atom types. A semi-flexible docking protocol was then applied to dock the target compounds into the enzyme’s active site. All structural visualizations were prepared using PyMOL 3.1.3.

3. Results

3.1. Spectroscopic Data of Compounds

Aspertide F (1). White Powder; [α ] D 25 −17.5 (c 0.1, CH3OH); UV (CH3OH) λmax (log ε) 200 (1.60), 247 (0.25), 302 (0.45) nm (Figure S10, Supplementary Materials); CD (0.3 mg/mL, CH3OH) λmaxε) 200 (8.77), 211 (−15.19), 243 (+0.28) nm (Figure S11, Supplementary Materials); IR (film) νmax 3334, 1645, 1014, 678, 599 cm−1 (Figure S9, Supplementary Materials); 1H and 13C NMR data, Table 1; ESI-MS/MS (Figure S8, Supplementary Materials): m/z 638.3182 [M+H]+, 541.2656 [Pip+Pro+Ala+Thr-p-Moc+H]+, 430.1971 [Pro+Ala+Thr-p-Moc+H]+, 355.1263 [Ala+Thr-p-Moc+Na]+, 280.1654 [Thr-p-Moc+Na]+; HR-ESI-MS (Figure S7, Supplementary Materials): m/z 638.3208 [M+H]+ (calcd for C33H44N5O8, 638.3208).
Aspertide G (2). White Powder; [α ] D 25 −12.7 (c 0.1, CH3OH); UV (CH3OH) λmax (log ε) 200 (1.75), 248 (0.19), 291 (0.38) nm (Figure S20, Supplementary Materials); CD (0.3 mg/mL, CH3OH) λmaxε) 200 (13.54), 223 (−9.06), 278 (+1.66) nm (Figure S21, Supplementary Materials); IR (film) νmax 3402, 1635, 1018, 698 cm−1 (Figure S19, Supplementary Materials); 1H and 13C NMR data, Table 1; HR-ESI-MS(Figure S18, Supplementary Materials): m/z 624.3031 [M+H]+ (calcd for C32H42N5O8, 624.3031).

3.2. Fermentation Yields of Target Compounds

In this study, compounds 15 were isolated and purified from the combined starting fractions 10–12 (approximately 2 g) by ODS reversed-phase column chromatography and preparative HPLC. Their masses were determined to be 1.69, 2.33, 9.47, 6.76, and 9.61 mg, respectively. Based on the dry weight of the fermented mycelial biomass (63.1 g), the relative productivities of these compounds were calculated as 0.027, 0.037, 0.150, 0.107, and 0.152 mg/g dry mycelium, respectively. These results indicate low fermentation yields of the target compounds, which represent a limitation of the present work.

3.3. Structural Elucidation and Identification of Pentadepsipeptides

Compound 1 was determined to have the molecular formula C33H43N5O8 based on HR-ESI-MS data, implying 15 degrees of unsaturation. The NMR spectra exhibited characteristic signals of a cyclic peptide. Analysis of the 1H, 13C, and 2D NMR (HSQC, HMBC, 1H-1H COSY, ROESY) data in Table 1 and Figures S1–S6 (Supplementary Materials) led to the identification of five amino acid residues: two Pro, a six-membered cyclic Pip, an Ala, and a Thr. The 13C NMR spectrum revealed six carbonyl carbons (δC 171.3, 171.3, 170.8, 170.7, 167.7, 165.9), five of which were assigned to peptide bonds, and one (δC 165.9) to an additional amide carbonyl. The 1H NMR spectrum displayed signals for a pair of ortho-coupled aromatic protons [δH 6.87 (d, J = 8.9 Hz, H-2,6) and 7.75 (d, J = 8.8 Hz, H-3, 5)], a pair of coupled olefinic protons [δH 6.66 (d, J = 13.0 Hz, H-7) and 6.14 (d, J = 12.9 Hz, H-8)], and a methoxy group (δH 3.76 and δC 55.1). These signals collectively indicated the presence of a p-methoxycinnamamide (p-Moc) moiety. A key HMBC correlation (Figure 2) from the amide carbonyl carbon of the p-Moc group (δC 165.9) to the amide proton (δH 7.71) attached to the Thr residue unambiguously located the p-Moc group on the N-terminus of Thr. Additionally, the HMBC correlations from the NH proton of the amino acid residue to the carbonyl carbon of the adjacent residue indicate that the amino acid residue sequence of compound 1 is cyclo-[Pro1–Pip–Pro3–Ala–Thr–p-Moc]. The cyclic structure was further supported by ESI-MS/MS analysis (Figure 3). Characteristic fragment ions at m/z 638.3182, 541.2656, 430.1971, 355.1263, and 280.1654 correspond to sequential ring-opening cleavages, consistent with the proposed sequence.
The NMR data for compound 1 were highly consistent with those reported for compound 3 (aspertide C) [16], and the main difference was the configuration of the olefinic bond. This conclusion is primarily supported by the observed vicinal coupling constant of 13.0 Hz between H-7 [δH 6.66 (d, J = 13.0 Hz)] and H-8 [δH 6.14 (d, J = 12.9 Hz)], which is characteristic of a cis-disubstituted alkene [21]. Comparative analysis of the NMR data, specifically the vicinal coupling constants between the olefinic protons, allowed for the definitive configurational assignment. The smaller coupling constant observed for compound 1H 6.66 (d, J = 13.0 Hz), δH 6.14 (d, J = 12.9 Hz)] is indicative of a cis-double bond, whereas the larger constant for compound 3H 7.37 (d, J = 15.8Hz), δH 6.94 (d, J = 15.8Hz)] is characteristic of a trans-double bond. The assignment was further corroborated by NOESY data (δH 6.66, 6.14) (Figure 4), which showed a correlation between these two protons, consistent with their cis stereochemical relationship. Through the advanced Marfey’s method and HPLC analysis (Figure S22, Supplementary Materials), the amino acid residues were identified as L-Pro, L-Pip, L-Ala, and L-Thr. In conclusion, the structure of compound 1 was unequivocally identified as cyclo-[L-Pro–L-Pip–L-Pro–L-Ala–L-Thr(p-Moc)]. Finally, compound 1 was identified as another new pentadepsipeptide and assigned the name aspertide F.
Compound 2 was determined to have the molecular formula C32H41N5O8 based on HR-ESI-MS data (see Supplementary Material Figure S18), implying 15 degrees of unsaturation. The 1H, 13C NMR (Table 1, Figures S12 and S13, Supplementary Materials), and 2D NMR (Figures S14–17, Supplementary Materials) spectra of compound 2 are very similar to those of compound 1, except for the absence of the signals for Pro2 (δH 1.61/1.44; δC 18.33). The HMBC (Figure 2) correlation between δH 1.61/1.44 and δC 18.33 was used to locate the p-Moc group at the Thr NH. Furthermore, the sequential inter-residue HMBC correlations from the NH protons to the carbonyl carbons of the preceding residues established the cyclic sequence of compound 2 as cyclo-[Pro1–Pro2–Pro3–Ala–Thr–p-Moc]. According to the NOESY (Figure 4) and NMR dates, it was verified that the olefin signal was a cis-double bond, with minor differences in 5. And the absolute configuration of amino acid residues was determined to be 3 L-Pro, 1 L-Ala, and 1 L-Thr by Marfey’s method and HPLC analysis (Figure S23, Supplementary Materials). Therefore, the structure of compound 2 was finally determined to be cyclo- [L-Pro–L-Pro–L-Pro–L-Ala–L-Thr (p-Moc)]. Finally, compound 2 was identified as another new pentadepsipeptide and assigned the name aspertide G.
Compounds 35 were identified to be the known aspertides C, D, and A [16] based on comparison of their 1H and 13C NMR data with literature values (Figures S24–29, Supplementary Materials).

3.4. Acetylcholinesterase Assay

Initial screening at 50 µg/mL identified compounds 15 as active neuraminidase inhibitors, with inhibition rates of 30.01%, 23.47%, 36.43%, 36.71%, and 27.42%, respectively (Figure 5, Figure S31, Supplementary Materials). Against a reference inhibition rate of 70.52% for tacrine, these compounds also exhibited moderate inhibitory activity against AChE at the same concentration, with inhibition rates of 22.03%, 24.67%, 23.19%, 20.26%, and 20.43%, respectively (Figure S30, Supplementary Materials). To further investigate their mechanism of action, the AChE inhibitory activity of 15 was evaluated by in silico molecular docking analysis.
Molecular interactions of the compounds were analyzed, and compounds 15 were selected for docking into the active site of AChE (PDB: 4EY7). The results showed that these molecules share similar binding positions, with binding free energy values (S value) all in the negative range, ranging from −8.51 to −10.13 kcal/mol. Compound 1 did not interact with the conventional active site residues; instead, compounds 25 primarily formed hydrogen bonds within the AChE active site. In particular, the methoxy group and carbonyl groups of compound 2 formed hydrogen bonds with Tyr 124 and Tyr 72, respectively. However, experimental assays revealed only weak activity, which is inconsistent with the docking results.

4. Discussion

Mangrove forests are typical extreme intertidal ecosystems. Environmental characteristics such as high salinity, tidal alternation, and anoxic soil exert strong selective pressure on microorganisms, driving the evolution of unique metabolic pathways. Marine-derived Aspergillus fungi have been proven to produce structurally diverse and biologically active metabolites, representing an important source for natural product research. However, studies on microbial natural products from Sri Lankan mangroves remain scarce worldwide. In this study, two new five-membered cyclic depsipeptides, aspertides F (1) and G (2), together with three known analogues, aspertides C, D, and A (35), were isolated from Aspergillus sp. SCSIO 41443, derived from mangrove sediments in this region. Structure elucidation and bioactivity screening were carried out. These results not only provide new data for the study of mangrove fungal metabolites but also reveal key issues to be addressed in the development of such compounds. The two new compounds isolated in this study, aspertides F (1) and G (2), are both five-membered cyclic depsipeptides bearing a p-Moc moiety, and their structural characteristics are highly similar to those of the known compound aspertide C (3). The core differences lie in the olefin bond configuration and amino acid residue composition: the p-Moc group of compound 1 features a cis-olefin bond, which is distinctly different from the trans-olefin bond in compound 3. This configurational difference has been clearly verified by nuclear magnetic resonance coupling constant analysis and NOESY correlation experiments [21], thus enriching the structural diversity of five-membered cyclic depsipeptides derived from mangrove fungi.
In terms of biological activity, all compounds 15 exhibited inhibitory effects on AChE and neuraminidase at a concentration of 50 μg/mL, yet the overall activity was modest. The AChE inhibition rates were only 20.26% to 24.67%—markedly lower than the 70.52% AChE inhibition rate of tacrine, the positive control drug. To explore the underlying action mechanism, molecular docking simulations of the compounds with AChE were performed using AutoDock 4.2.6 [19]. The results demonstrated that all compounds formed interactions with the AChE active site with negative binding free energies, ranging from −8.51 to −10.13 kcal/mol. Notably, compounds 25 formed hydrogen bonds with key residues (e.g., Tyr 72 and Tyr 124) at the AChE active site, which theoretically indicated favorable binding affinity. However, a significant discrepancy was observed between these in silico results and the weak bioactivity detected in in vitro experiments. The fundamental cause of this inconsistency stems from the inherent difference between the static nature of molecular docking simulations and the dynamic complexity of in vivo biochemical systems [22,23]. These properties are pivotal determinants of the actual biological activity of compounds but are often underrepresented in standard docking scoring functions. This finding further corroborates the limitations of virtual screening in natural product research: virtual screening can only provide a theoretical framework for elucidating activity mechanisms and cannot serve as a substitute for in vitro experimental validation [24]. Future studies should integrate virtual screening with experimental validation to more accurately identify natural products with genuine biological activity.
This study also revealed that the fermentation yields of the target compounds were generally low, and such low productivity has become a major bottleneck restricting their further development and application. The yields of cyclic depsipeptide natural products are highly susceptible to fungal fermentation conditions. Based on previous studies, systematic optimization of fermentation parameters will be a feasible strategy to improve the yields of target compounds in future work [25,26]. Key efforts should focus on investigating the regulatory effects of medium composition (e.g., carbon sources, nitrogen sources, and sea salt concentrations) and fermentation temperature on the biosynthesis of pentadepsipeptides by Aspergillus sp. SCSIO 41443. Additionally, approaches such as chemical epigenetic modification and microbial co-cultivation can be explored to induce fungal metabolic pathways [6], thereby further enhancing the synthetic efficiency of the target products and providing a solid material basis for subsequent in-depth bioactivity studies and development.
From an application perspective, although the cyclic depsipeptides identified in this study exhibited only modest inhibitory activity against AChE and neuraminidase, they provide novel lead structures for the development of related enzyme inhibitors. AChE inhibitors are important therapeutic agents for Alzheimer’s disease, and neuraminidase inhibitors represent core drug targets for anti-influenza therapy. The cyclic depsipeptides discovered herein possess a unique structural scaffold incorporating a p-Moc group and a five-membered ring, which renders them promising lead compounds for structural modification and derivatization. Targeted modification of structural moieties, such as amino acid residues, olefin bond configurations, and substituents, is expected to optimize their binding affinity to enzyme active sites and improve their physicochemical properties. This approach may yield derivatives with significantly enhanced bioactivity, thereby providing a new direction for the development of novel enzyme inhibitors.
In summary, this study has enriched the metabolic resource library of pentadepsipeptides from mangrove fungi [7,16], clarified the structural characteristics and enzyme inhibitory activity potential of the target compounds, and revealed the core problems of weak biological activity and low fermentation yield for this class of compounds, as well as the complementarity between virtual screening and in vitro experimental validation in the activity evaluation of natural products [22,23,24]. Future research should focus on optimizing fermentation conditions to break through the yield bottleneck [25,26] and adopt targeted structural modification strategies to enhance the biological activity of the compounds [14,15], which provides important experimental evidence and research directions for the in-depth exploration of novel natural products from mangrove fungi and the study of their structure–activity relationships.

5. Conclusions

In summary, two new cyclic peptides, aspertides F and G (12), were isolated and identified from the mangrove sediment-derived fungus Aspergillus sp. SCSIO41443, along with three known cyclic peptides, aspertides C, D, and A (35). Based on NMR, HR-ESI-MS, and 2D NMR (HMBC, HMQC, COSY) data, combined with acid hydrolysis and chiral high-performance liquid chromatography (HPLC) analyses, the structures and absolute configurations of compounds 15 were elucidated. The potential of this compound as an acetylcholinesterase inhibitor was evaluated using an integrated approach combining virtual screening and experimental validation; however, its inhibitory efficacy was limited. Bioassay data for acetylcholinesterase and neuraminidase inhibition were also analyzed.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/metabo16030159/s1, Figures S1–S31: The NMR, HRESIMS, UV, and IR spectra of 15; ITS sequence data of the strain; bioassay data for acetylcholinesterase and neuraminidase inhibition.

Author Contributions

Data curation, Y.L. (Ying Liu) and Y.C.; Funding acquisition, B.Y., J.X. and Y.L. (Yonghong Liu); Investigation, Y.L. (Ying Liu), Y.C. and X.S.; Project administration, B.Y., Y.L. (Yonghong Liu) and X.Z.; Writing—original draft, Y.L. (Ying Liu); Writing—review and editing, X.Z., B.Y. and J.X. All authors have read and agreed to the published version of the manuscript.

Funding

Special Project for the National Natural Science Foundation of China (No. 42276128 and 82104061), Guangzhou Science and Technology Project (No. 2024B03J0001), and Foundation of Guangxi Key Laboratory of Marine Drugs (No. LMD 2023-5).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original data presented in the study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding author.

Acknowledgments

We are grateful to Zhihui Xiao, Aijun Sun, Xuan Ma, Xiaohong Zheng, and Yun Zhang at SCSIO for analytic data recording.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Hu, D.; Lee, S.M.-Y.; Li, K.; Mok, K.M. Secondary Metabolite Production Potential of Mangrove-Derived Streptomyces Olivaceus. Mar. Drugs 2021, 19, 332. [Google Scholar] [CrossRef]
  2. Palit, K.; Rath, S.; Chatterjee, S.; Das, S. Microbial Diversity and Ecological Interactions of Microorganisms in the Mangrove Ecosystem: Threats, Vulnerability, and Adaptations. Environ. Sci. Pollut. Res. 2022, 29, 32467–32512. [Google Scholar] [CrossRef] [PubMed]
  3. Elkhayat, E.S.; Ibrahim, S.R.M.; Mohamed, G.A.; Ross, S.A. Terrenolide S, a New Antileishmanial Butenolide from the Endophytic Fungus Aspergillus terreus. Nat. Prod. Res. 2016, 30, 814–820. [Google Scholar] [CrossRef] [PubMed]
  4. Gubiani, J.R.; Oliveira, M.C.S.; Neponuceno, R.A.R.; Camargo, M.J.; Garcez, W.S.; Biz, A.R.; Soares, M.A.; Araujo, A.R.; Bolzani, V.D.S.; Lisboa, H.C.F.; et al. Cytotoxic Prenylated Indole Alkaloid Produced by the Endophytic Fungus Aspergillus terreus P63. Phytochem. Lett. 2019, 32, 162–167. [Google Scholar] [CrossRef]
  5. Tang, Y.; Liu, Y.; Ruan, Q.; Zhao, M.; Zhao, Z.; Cui, H. Aspermeroterpenes A–C: Three Meroterpenoids from the Marine-Derived Fungus Aspergillus terreus GZU-31-1. Org. Lett. 2020, 22, 1336–1339. [Google Scholar] [CrossRef]
  6. Wu, J.-S.; Shi, X.-H.; Zhang, Y.-H.; Shao, C.-L.; Fu, X.-M.; Li, X.; Yao, G.-S.; Wang, C.-Y. Benzyl Furanones and Pyrones from the Marine-Derived Fungus Aspergillus terreus Induced by Chemical Epigenetic Modification. Molecules 2020, 25, 3927. [Google Scholar] [CrossRef] [PubMed]
  7. Luo, X.-W.; Lin, Y.; Lu, Y.-J.; Zhou, X.-F.; Liu, Y.-H. Peptides and Polyketides Isolated from the Marine Sponge-Derived Fungus Aspergillus terreus SCSIO 41008. Chin. J. Nat. Med. 2019, 17, 149–154. [Google Scholar] [CrossRef]
  8. Zaman, K.A.U.; Hu, Z.; Wu, X.; Hou, S.; Saito, J.; Kondratyuk, T.P.; Pezzuto, J.M.; Cao, S. NF-κB Inhibitory and Antibacterial Helvolic and Fumagillin Derivatives from Aspergillus terreus. J. Nat. Prod. 2020, 83, 730–737. [Google Scholar] [CrossRef]
  9. Ukwatta, K.M.; Lawrence, J.L.; Wijayarathne, C.D. Antimicrobial, Anti-Cancer, Anti-Filarial and Anti-Inflammatory Activities of Cowabenzophenone A Extracted from the Endophytic Fungus Aspergillus terreus Isolated from a Mangrove Plant Bruguiera gymnorrhyza. Mycology 2020, 11, 297–305. [Google Scholar] [CrossRef]
  10. Yan, S.; Qi, C.; Song, W.; Xu, Q.; Gu, L.; Sun, W.; Zhang, Y. Discovery of GOT1 Inhibitors from a Marine-Derived Aspergillus terreus That Act against Pancreatic Ductal Adenocarcinoma. Mar. Drugs 2021, 19, 588. [Google Scholar] [CrossRef]
  11. Song, F.; Liu, X.; Guo, H.; Ren, B.; Chen, C.; Piggott, A.M.; Yu, K.; Gao, H.; Wang, Q.; Liu, M.; et al. Brevianamides with Antitubercular Potential from a Marine-Derived Isolate of Aspergillus Versicolor. Org. Lett. 2012, 14, 4770–4773. [Google Scholar] [CrossRef]
  12. Zhong, W.; Wang, J.; Wei, X.; Chen, Y.; Fu, T.; Xiang, Y.; Huang, X.; Tian, X.; Xiao, Z.; Zhang, W.; et al. Variecolortins A–C, Three Pairs of Spirocyclic Diketopiperazine Enantiomers from the Marine-Derived Fungus Eurotium Sp. SCSIO F452. Org. Lett. 2018, 20, 4593–4596. [Google Scholar] [CrossRef]
  13. Nagano, M.; Huang, Y.; Obexer, R.; Suga, H. One-Pot In Vitro Ribosomal Synthesis of Macrocyclic Depsipeptides. J. Am. Chem. Soc. 2021, 143, 4741–4750. [Google Scholar] [CrossRef]
  14. Routhu, S.R.; Ragi, N.C.; Yedla, P.; Shaik, A.B.; Venkataraman, G.; Cheemalamarri, C.; Chityala, G.K.; Amanchy, R.; Sripadi, P.; Kamal, A. Identification, Characterization and Evaluation of Novel Antifungal Cyclic Peptides from Neobacillus drentensis. Bioorganic Chem. 2021, 115, 105180. [Google Scholar] [CrossRef]
  15. Phyo, M.Y.; Goh, J.X.; Tan, L.T. Triproamide and Pemukainalides, Cyclic Depsipeptides from the Marine Cyanobacterium Symploca hydnoides. J. Nat. Prod. 2022, 85, 485–492. [Google Scholar] [CrossRef]
  16. Chi, L.-P.; Liu, D.; Li, X.-M.; Wan, Y.; Wang, B.-G.; Li, X. Aspertides A–E: Antimicrobial Pentadepsipeptides with a Unique p-Methoxycinnamoyl Amide Group from the Marine Isolates Aspergillus tamarii MA-21 and Aspergillus insuetus SD-512. J. Agric. Food Chem. 2023, 71, 13316–13324. [Google Scholar] [CrossRef]
  17. Dai, Y.; Lin, Y.; Pang, X.; Luo, X.; Salendra, L.; Wang, J.; Zhou, X.; Lu, Y.; Yang, B.; Liu, Y. Peptides from the Soft Coral-Associated Fungus simplicillium Sp. SCSIO41209. Phytochemistry 2018, 154, 56–62. [Google Scholar] [CrossRef]
  18. Dai, Y.; Li, K.; She, J.; Zeng, Y.; Wang, H.; Liao, S.; Lin, X.; Yang, B.; Wang, J.; Tao, H.; et al. Lipopeptide Epimers and a Phthalide Glycerol Ether with AChE Inhibitory Activities from the Marine-Derived Fungus Cochliobolus lunatus SCSIO41401. Mar. Drugs 2020, 18, 547. [Google Scholar] [CrossRef] [PubMed]
  19. Trott, O.; Olson, A.J. AutoDock Vina: Improving the Speed and Accuracy of Docking with a New Scoring Function, Efficient Optimization, and Multithreading. J. Comput. Chem. 2010, 31, 455–461. [Google Scholar] [CrossRef] [PubMed]
  20. Cheung, J.; Rudolph, M.J.; Burshteyn, F.; Cassidy, M.S.; Gary, E.N.; Love, J.; Franklin, M.C.; Height, J.J. Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands. J. Med. Chem. 2012, 55, 10282–10286. [Google Scholar] [CrossRef]
  21. Bratovanov, S.; Koźmiński, W.; Fässler, J.; Molnar, Z.; Nanz, D.; Bienz, S. Synthesis and Characterization of 1,2-Disubstituted Vinylsilanes and Their Geometric Differentiation with 3J(29Si,1H)-Coupling Constants. Application of a Novel Heteronuclear J-Resolved NMR Experiment. Organometallics 1997, 16, 3128–3134. [Google Scholar] [CrossRef]
  22. Paggi, J.M.; Pandit, A.; Dror, R.O. The Art and Science of Molecular Docking. Annu. Rev. Biochem. 2024, 93, 389–410. [Google Scholar] [CrossRef] [PubMed]
  23. Slater, O.; Kontoyianni, M. The Compromise of Virtual Screening and Its Impact on Drug Discovery. Expert Opin. Drug Discov. 2019, 14, 619–637. [Google Scholar] [CrossRef] [PubMed]
  24. Gu, S.; Shen, C.; Zhang, X.; Sun, H.; Cai, H.; Luo, H.; Zhao, H.; Liu, B.; Du, H.; Zhao, Y.; et al. Benchmarking AI-Powered Docking Methods from the Perspective of Virtual Screening. Nat. Mach. Intell. 2025, 7, 509–520. [Google Scholar] [CrossRef]
  25. Qiu, S.; Gilani, M.D.S.; Müller, C.; Zarazua-Navarro, R.-M.; Liebal, U.; Eerlings, R.; Blank, L.M. Cultivation Optimization Promotes Ginsenoside and Universal Triterpenoid Production by Engineered Yeast. New Biotechnol. 2024, 83, 219–230. [Google Scholar] [CrossRef]
  26. Tang, J.; Li, Y.; Zhang, L. Optimization of Fermentation Conditions and Purification of Cordycepin from Cordyceps militaris. Prep. Biochem. Biotechnol. 2014, 44, 90–106. [Google Scholar]
Figure 1. Structures of compounds 15.
Figure 1. Structures of compounds 15.
Metabolites 16 00159 g001
Figure 2. Key HMBC and 1H-1H COSY correlations for compounds 1 and 2.
Figure 2. Key HMBC and 1H-1H COSY correlations for compounds 1 and 2.
Metabolites 16 00159 g002
Figure 3. ESI-MS/MS analysis of compound 1.
Figure 3. ESI-MS/MS analysis of compound 1.
Metabolites 16 00159 g003
Figure 4. Key NOESY correlations of compounds 1 and 2.
Figure 4. Key NOESY correlations of compounds 1 and 2.
Metabolites 16 00159 g004
Figure 5. Proposed binding interactions of 25 with the active site residues of AChE (PDB ID: 4EY7). Red line: hydrogen bond.
Figure 5. Proposed binding interactions of 25 with the active site residues of AChE (PDB ID: 4EY7). Red line: hydrogen bond.
Metabolites 16 00159 g005
Table 1. lH (700MHz) and 13C (125MHz) NMR spectroscopic data of compounds 12 (aspertide A–B) in DMSO-d6.
Table 1. lH (700MHz) and 13C (125MHz) NMR spectroscopic data of compounds 12 (aspertide A–B) in DMSO-d6.
12
δC TypeδH (J in Hz)δC TypeδH (J in Hz)
Pro1
CO170.8 170.7
α57.34.29 (dd, J = 8.4, 1.9 Hz)57.74.30 (dd, J = 8.3, 5.3 Hz)
β30.72.18 m;1.91 m30.62.17 m; 1.92 m
γ21.92.04 m:1.82 m21.92.07 m; 1.85 m
δ45.93.48 m;3.26 m46.03.42 m; 3.37 m
Pro2
CO171.3 168.5
α51.34.37 (dd, J = 6.9, 3.8 Hz)57.54.40 (dd, J = 8.3, 1.9 Hz,)
β24.91.82 m;1.71 m28.42.09 m; 1.70 m
γ18.31.61 m;1.44 m25.02.02 m; 1.92 m
δ23.91.71 m;1.54 m46.43.44 m; 3.36 m
e41.83.79 m;3.48 m
Pro3
CO170.7 170.8
α57.94.91 (dd, J = 8.5, 5.2 Hz)58.04.84 (dd, J = 8.4, 3.7 Hz)
β29.72.34 m;1.68 m29.72.32 m; 1.76 m
γ22.71.82 m;1.71 m22.72.07 m; 1.74 m
δ46.63.39 m46.33.44 m; 3.29 m
Ala
CO171.3 171.0
α45.84.14 (dq, J = 8.4, 6.5 Hz)45.64.23 (dt, J = 8.6, 6.4 Hz)
β20.01.08 (d, J = 6.5 Hz)20.01.09 (d, J = 6.5 Hz)
NH 8.16 (d, J = 8.5 Hz) 8.25 (d, J = 8.5 Hz)
Thr
CO167.7 167.8
α54.24.72 (dd, J = 9.2, 1.4 Hz)54.24.72 (dd, J = 9.3, 1.4 Hz)
β73.25.00 (qd, J = 6.3, 1.4 Hz)73.04.95 (q, J = 5.8 Hz)
γ16.71.13 (d, J = 6.3 Hz)16.71.11 (d, J = 6.3 Hz)
NH 7.71 (d, J = 9.2 Hz) 7.85 (d, J = 9.3 Hz)
p-Moc
1159.5 159.5
2,6113.36.87 (d, J = 8.9 Hz)113.26.87 (d, J = 8.9 Hz)
3,5132.07.75 (d, J = 8.8 Hz)132.17.75 (d, J = 8.8 Hz)
4127.7 127.8
7137.66.66 (d, J = 13.0 Hz)137.66.66 (d, J = 13.0 Hz)
8121.56.14 (d, J = 12.9 Hz)121.46.14 (d, J = 12.9 Hz)
9165.9 165.9
OCH355.13.76 (s)55.13.76 (s)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, Y.; Chen, Y.; Xiao, J.; Sun, X.; Zhou, X.; Liu, Y.; Yang, B. Two New Pentadepsipeptides from the Mangrove Fungus Aspergillus sp. SCSIO 41443. Metabolites 2026, 16, 159. https://doi.org/10.3390/metabo16030159

AMA Style

Liu Y, Chen Y, Xiao J, Sun X, Zhou X, Liu Y, Yang B. Two New Pentadepsipeptides from the Mangrove Fungus Aspergillus sp. SCSIO 41443. Metabolites. 2026; 16(3):159. https://doi.org/10.3390/metabo16030159

Chicago/Turabian Style

Liu, Ying, Yi Chen, Jiao Xiao, Xin Sun, Xuefeng Zhou, Yonghong Liu, and Bin Yang. 2026. "Two New Pentadepsipeptides from the Mangrove Fungus Aspergillus sp. SCSIO 41443" Metabolites 16, no. 3: 159. https://doi.org/10.3390/metabo16030159

APA Style

Liu, Y., Chen, Y., Xiao, J., Sun, X., Zhou, X., Liu, Y., & Yang, B. (2026). Two New Pentadepsipeptides from the Mangrove Fungus Aspergillus sp. SCSIO 41443. Metabolites, 16(3), 159. https://doi.org/10.3390/metabo16030159

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