Next Article in Journal
Some Natural Photosensitizers and Their Medicinal Properties for Use in Photodynamic Therapy
Previous Article in Journal
Technetium-99m Radiopharmaceuticals for Ideal Myocardial Perfusion Imaging: Lost and Found Opportunities
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Molecules
Volume 27
Issue 4
10.3390/molecules27041182
molecules-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Antiparasitic Ovalicin Derivatives from Pseudallescheria boydii, a Mutualistic Fungus of French Guiana Termites

by
Jonathan Sorres
1,*,
Téo Hebra
1,
Nicolas Elie
1,
Charlotte Leman-Loubière
1,
Tatyana Grayfer
1,
Philippe Grellier
2,
David Touboul
1,
Didier Stien
3 and
Véronique Eparvier
1,*
1
CNRS, Institut de Chimie des Substances Naturelles, UPR 2301, Université Paris-Saclay, 91198 Gif-sur-Yvette, France
2
CNRS, Département RDDM, UMR 7245, Muséum National d’Histoire Naturelle CP52, 57 Rue Cuvier, 75005 Paris, France
3
Laboratoire de Biodiversité et Biotechnologie Microbiennes, CNRS, Sorbonne Université, Observatoire Océanologique, 66650 Banyuls-sur-Mer, France
*
Authors to whom correspondence should be addressed.
Molecules 2022, 27(4), 1182; https://doi.org/10.3390/molecules27041182
Submission received: 12 January 2022 / Revised: 4 February 2022 / Accepted: 6 February 2022 / Published: 10 February 2022
(This article belongs to the Section Natural Products Chemistry)
Browse Figures
Review Reports Versions Notes

Abstract

:
Social insects are in mutualism with microorganisms, contributing to their resistance against infectious diseases. The fungus Pseudallescheria boydii SNB-CN85 isolated from termites produces ovalicin derivatives resulting from the esterification of the less hindered site of the ovalicin epoxide by long-chain fatty acids. Their structures were elucidated using spectroscopic analysis and semisynthesis from ovalicin. For ovalicin, these compounds displayed antiprotozoal activities against Plasmodium falciparum and Trypanosoma brucei, with IC50 values of 19.8 and 1.1 µM, respectively, for the most active compound, i.e., ovalicin linoleate. In parallel, metabolomic profiling of a collection of P. boydii strains associated with termites made it possible to highlight this class of compounds together with tyroscherin derivatives in all strains. Finally, the complete genome of P. boydii strains was obtained by sequencing, and the cluster of potential ovalicin and ovalicin biosynthesis genes was annotated. Through these metabolomic and genomic analyses, a new ovalicin derivative named boyden C, in which the 6-membered ring of ovalicin was opened by oxidative cleavage, was isolated and structurally characterized.

Graphical Abstract

1. Introduction

Insects might be the most represented and diverse living creatures on earth [1]. In nature, insects live in symbiosis with bacteria and fungi to protect themselves from pathogens [2]. These microorganisms play a key role in the ecological success of their host [3], providing them antipathogenic metabolites that could eventually find applications in therapeutics [4]. Insect/microorganism associations are well described for social insects, such as ants, bees, and some wasp species [5,6]. However, little work has been conducted thus far on termite/microorganism interactions (outside the context of trophobioses) [7,8,9,10].
Termites (Blattodea: Isoptera) are eusocial insects comprising more than 3000 species, mostly distributed in tropical and subtropical regions. All termites live in nests containing 1 to 1.5 million individuals divided into castes (reproductive individuals, workers, and soldiers) that cooperatively perform colony tasks. These insects play an important role in ecosystems through the decomposition of plant lignocellulose, having a positive impact in nutrient cycling and soil–water dynamics through their nest construction and tunnel networks in the soil [11]. Termites are vital members of old-growth tropical forests, being perhaps the main decomposers of dead plant material at all stages of humification (decay). Therefore, termite colonies viability is considered a marker of human influence on the environment [12,13]. Nests protect termites from aggressions of biotic and abiotic origin and provide a place for feeding, reproduction, and nursery [14]. Due to their lifestyle, termites developed a singularity related to infection management. Indeed, these social insects live in confined spaces, with a high population density, frequent interactions, genetic homogeneity, and a homeostatic environment. All these factors should favor the transmission of infectious agents, especially pathogenic fungi or bacteria [15]. In addition, termites control the temperature (about 30 °C) and humidity (on average 90%) of their nests, in order to raise immatures, inducing favorable conditions for the development of pathogens but without any alteration of the viability of termite colonies [16,17].
The investigation of under-explored microbial niches, such as termite-associated microorganisms, can provide original active metabolites [4,7,8,9,10]. It should also be mentioned that microorganisms constitute one of the most important forms of life that provide biotechnological tools for producing highly valuable chemicals [18], making the investigation of unexplored microbes one the more important avenues for paving future discoveries in natural product research [19].
Previous studies in our group led to the isolation of six fungal strains of the genus Pseudallescheria from three different termite colonies (out of eight nests harvested) [20,21,22]. Our preliminary results suggest that the fungi genus Pseudallescheria may be frequently associated with termites, exchanged between individuals, and spread in the nest. It was first demonstrated that these fungi produce antifungal compounds, in particular. It was hypothesized that this fungus has the ability to protect termites, its macroscopic host. Pseudallescheria boydii is a fungus frequently isolated from insects [20,21,22,23]. It seems that P. boydii has a broad host range, mainly described as saprophytic, frequently present in soil or polluted water but also on the surface of seaweed or endophytic [24,25] and in humans by causing invasive infections mainly in immunocompromised hosts but also in immunocompetent hosts [26]. The anamorphic form of P. boydii is Scedosporium apiospermum. It has been described that these strains can produce a vast diversity of alkaloids, cyclopeptides, and polyketides. Some of these compounds, such as boydens and gliotoxins, have shown antimicrobial activity [20,21,22,23,24,25,26,27,28]. In our collection, it was shown that two P. boydii strains (SNB-CN85 and SNB-CN73) produce tyroscherine, ovalicin (two antifungal compounds), and analogs of these two specialized metabolites [20,21,22].
In parallel, new methodologies for dereplication of complex mixtures have been developed to accelerate and expand the discovery of new bioactive natural molecules. In order to avoid focusing research efforts on already known molecules, dereplication strategies have been developed [29,30]. Dereplication allows for the annotation of known molecules in a mixture but also allows for targeting and focusing on potentially novel molecules to be isolated and characterized. Mass spectrometry-based molecular networking approaches can be used to overcome these difficulties, allowing the targeting of specific metabolites through the tandem mass spectrometry data set organization they confer [29,30,31,32,33,34,35]. In this study, a molecular network approach allowed us to navigate the chemical space of P. boydii metabolomes and was used to annotate the chemical diversity of these fungi. A new compound was identified by this method and was isolated and fully characterized. Then, it was chosen to compare the metabolomic and genomic data of all P. boydii in our collection. For this purpose, the whole genome sequence of the four P. boydii strains was established, and the cluster of potential genes for biosynthesis of ovalicin and its fatty acid derivatives was annotated.

2. Results

The study of the P. boydii SNB-CN85 ethyl acetate extract led to the isolation of ovalicin (1) and the five ovalicin analogs 2–6 (Figure 1).
Preliminary inspection of the 1H and 13C NMR spectra confirmed that Compounds 2–5 were ovalicin analogs (Figures S1–S29 in the Supplementary Materials, Table 1, Tables S1–S5 in the Supplementary Materials). In fact, Compounds 2–5 exhibited the same 1H and 13C NMR shifts as ovalicin, and the only difference was observed at position 14 with protons and carbons at δH 4.11 and 4.17/δC 69.4–69.5 ppm instead of δH 2.63 and 2.97/δC 51.0 ppm for ovalicin. For Compound 6, the same chemical shift but also the loss of the O-methyl group at position 7 was observed (Table S5 in the Supplementary Materials).
The molecular formula of Compound 2 was determined to be C34H56O7 based on the sodiated molecular ion signal at m/z 599.3931 [M + Na]+ in the ESI-HRMS analysis (calcd. for C34H56O7Na, 599.3924, err 1.7 ppm). Examination of the 1H, 13C, HSQC spectra and 1H-1H COSY and 1H-13C HMBC correlations indicated the presence of an octadecadienoate chain, as shown by the presence of four olefinic methines (4H at δH 5.33–5.36), 12 methylenes (δH 1.28–2.78), and one triplet methyl (δH 0.91). The chain was also determined following the sequence of 1H-1H COSY cross-peaks H-8′/H-9′/H-10′/H-11′/H-12′/H-13′. The fatty acid chain was linked to C-14 thanks to the H-14/C-1′ correlation (Figure 2). Compounds 3–4 and 6 presented similar spectral data. The only difference was observed in the fatty acid chains. The exact mass of each molecule, the presence of olefinic protons between δH 5.33 and 5.36 ppm, and the 1H-1H COSY correlations confirmed the presence of two double bonds for 2 and 6, one double bond for 3 and 5, and none for 4 (Figure 2).
Compounds 2–4 and 6 possess an 18-carbon fatty acid chain, while 5 has a shorter 16-carbon chain. The positions of the double bonds of natural Compounds 2 and 3 were determined by MS/MS after hydrolysis of the fatty chains and fragmentation of in-source acetonitrile adducts (Figures S30–S32 in the Supplementary Materials) [36,37]. Due to too small quantities, this procedure was not possible for Compounds 5 and 6. To confirm the structures and configurations of Compounds 2, 3, and 4, ovalicin esters were synthesized from Compound 1 by esterification with linoleic acid, oleic acid, and stearic acid, respectively (Figure S34 in the Supplementary Materials). The comparison of the NMR spectra obtained between the isolated and synthetic compounds allowed us to confirm the identification and configurations of fungal metabolites 2–4 (Figures S35–S43 in the Supplementary Materials). The absolute configurations Compounds 2–4 were also confirmed first by comparison with circular dichroism data of 1 (Figure S33 in the Supplementary Materials) for the ovalicin moiety. Furthermore, all these compounds showed negative optical rotation. Secondly, for the fatty acid moiety, our 13C NMR analyses were in accordance with literature data concerning the specific chemical shifts of methylene at C-11′ position between two double bonds (Table S6 in the Supplementary Materials) [38,39].
Compounds 1–4 antiplasmodial activity against Plasmodium falciparum and antitrypanosomal activity against Trypanosoma brucei brucei are summarized in Table 2. Ovalicin 1 and fatty acid ester of ovalicin 2 and 4 showed high inhibition percentages at IC50 values below 20.6 µM against Plasmodium falciparum. Against Trypanosoma brucei brucei, all compounds exhibited IC50 values below 5 µM, but 1 to 2 were the only compounds to show activity (IC50 < 1.1 µM). Compounds 5 and 6 were isolated in too small amounts and could not be tested. To the best of our knowledge, only ovalicin is known to show antiangiogenic properties [40] and potent antiplasmodial activity [41]. Consequently, the isolated compounds were also tested for their cytotoxicity on normal primary human umbilical vein endothelial cells (HUVECs). All compounds demonstrated low cytotoxicity on the tested cell lines (IC50 > 20 µM), contrary to reported literature for ovalicin with an IC50 of 13 µM [42,43]. Finally, isolated compounds were also tested for their potential antimicrobial activities against C. albicans. The minimal inhibitory concentrations (MICs) observed for molecules 1–3 were greater than 128 µg/mL, showing no significant inhibition.
As it has been previously shown that strains of P. boydii were able to biosynthesize derivatives of tyrocherin and ovalicin [20,21,22], an evaluation was conducted of whether our different strains were also capable of biosynthesizing the fatty acid derivatives of ovalicin isolated from SNB-CN85. For this purpose, EtOAc extracts of four P. boydii strains, SNB-CN71, -CN73, -CN81, and -CN85, were analyzed by reversed-phase liquid chromatography–high-resolution mass spectrometry (RPPLC-HRMS/MS) using the data-dependent acquisition mode. The resulting spectral data were further investigated by the molecular network approach (MN) [29,30,31]. Data were processed by MZmine 2.51 [32,33], and an MN was generated by Metgem [34]. The resulting network grouped 3021 nodes into 83 clusters (Figure 3 and Figure S44 in the Supplementary Materials). Strain mapping was applied by attributing a given color code to each strain in the collection, allowing us to visually navigate through the MN and check for the presence and distribution of specific compound classes within the collection. Relative quantification of the ions was represented using pie charts, with their proportions based on the respective areas of the peaks detected on extracted ion chromatography (XIC).
Clusters were identified as primarily related to the tyrocherin and pseurotin A analogs (Figure 3). The three known specialized metabolites, i.e., tyrocherin ([M + H]+, m/z 334.2738, err. 0.8 ppm, C21H35NO2), N-methyltyrocherin ([M + H]+, m/z 348.2872, err. 7.2 ppm, C22H37NO2), and pseurotin A ([M + Na]+, m/z 454.1438, err. 8 ppm, C22H25NO8), were present in a large relative proportion in SNB-CN71, -CN73, and -CN81. N-Methyltyrocherin and pseurotin A were not detected in SNB-CN85 and SNB-CN71, but they were previously isolated from these strains. Therefore, pseudallicins A–D isolated previously from SNB-CN85 extract strains were not found during this analysis. This may be because the concentration of these compounds in the crude extracts appeared to be very low, whereas they had been concentrated in the previously studied fractions. Sodium-cationized ovalicin and Compounds 1–5 were detected in a specific cluster present in all extracts. By studying the fragmentation spectra of the compounds grouped in the ovalicin fatty acid cluster, it was possible to determine the presence of ovalicin analogs bearing C18 fatty acid chains with three double bonds (Compound 9), one to two epoxides (Compounds 10, 11 and 12), or with a C16 fatty acid chain (Compounds 5 and 8). Compound 11 exhibited both an epoxide and a double bond (Figure S45 in the Supplementary Materials). It is interesting to note that this collection of fatty acid esters of ovalicin is quite large, and some of these specialized metabolites are present in the different species of the collection. Finally, not all strains produced the different derivatives in the same proportions, although they were grown under the same conditions. Compound 6 was not detected in the cluster, likely because this compound is a demethylated derivative of ovalicin but mostly because it seems to be present in very small quantities in the crude extract.
Following these results, the biosynthetic pathway of ovalicin was investigated. For this purpose, whole genome sequencing of the four P. boydii strains SNB-CN71, -CN73, -CN81, and -CN85 was performed by combining short and long sequences to achieve de novo hybrid assemblies. The quality of the four 42–43 Mb genomes was assessed by the BUSCO score (95.9–96.1% completeness) (Table S6 in the Supplementary Materials) [44]. It was considered that ovalicin is a known fumagillol analog, an intermediate in the fumagillin biosynthetic pathway [45,46]. While the fumagillin biosynthetic pathway has been described [47], this is not the case for ovalicin and its fatty ester derivatives. Furthermore, β-trans-bergamotene is a biosynthetic intermediate that ovalicin shares with fumagillin and fumagillol [45,46]. When our four genomes were analyzed using the antiSMASH pipeline [48], a cluster of biosynthetic genes common to all four strains, comprising enzymes responsible for producing ovalicin and its fatty acid esters, was identified. This cluster, composed of 18 genes conserved in the four P. boydii strains, was intertwined with the pseurotin A biosynthetic gene cluster (6 genes out of 18). Pseurotin A is another specialized metabolite produced by P. boydii strains whose protonated species were identified in the molecular networks (Figure 3, Figure S44 in the Supplementary Materials). These two gene clusters appear to be frequently intertwined, as the pseurotin/fumagillin gene cluster has also been reported in Aspergillus fumigatus [49]. The eight genes coding for enzymes involved in the ovalicin biosynthetic pathway were named Pbo_Ova_A–H (Figure 4, Table S7 in the Supplementary Materials), and the six genes coding for pseurotin A were named Pbo_Pse_A–F (Table S8 in the Supplementary Materials). Their functions were predicted using the Pfam and UniProt databases [50,51]. Like fumagillin, the ovalicin biosynthetic pathway is initiated by the action of the terpene synthase Pbo_Ova_A, which converts farnesyl pyrophosphate to β-trans-bergamoten (Btb). A cytochrome P450 monooxygenase Pbo_Ova_B whose af510 is the closest homolog (85% similarity) was predicted to catalyze the formation of intermediate (Btb1) in which protonated species were found in RPLC-ESI(+)–MS/MS data ([M + H]+, m/z 251.1634, err. 3.1 ppm) (Table S9 in the Supplementary Materials). A hydroxyl was added at position 3 by Pbo_Ova_C, a homologous protein of af480 (75% similarity) to form compound Btb2, whose protonated species was also found in the RPLC-ESI(+)–MS/MS data ([M + H]+, m/z 267.1587, err. 1.5 ppm). Then, a methyl group was added by Pbo_Ova_D, a methyl transferase, to the hydroxyl group at position C-7 to form molecule Btb3 ([M + Na]+, m/z 303.1564, err. 1.0 ppm). From this step, the ovalicin biosynthetic pathway differed from that of fumagillin: where compound Btb3 was converted into ovalicin (1) ([M + Na]+, m/z 319.1512, err. 1.3 ppm) by the addition of a hydroxyl at position C-5. This catalysis was likely performed by the Pbo_Ova_E oxidoreductase or Pbo_Ova_E dioxygenase present in the biosynthetic gene cluster. Then, Pbo_Ova_G hydrolase cleaved the position C-4 ester bond of ovalicin (1) to form dihydro-ovalicin ([M + Na]+, m/z 321.1669, err. -1.2 ppm), which shares a neutral loss with Compound 1 equivalent to a cosine score of 0.34 (Figure S46 in the Supplementary Materials). Finally, fatty acids were likely added to dihydroovalicin via an acyltransferase, the most likely candidate of which was Pbo_Ova_G, whose gene was present at the edge of the Pbo_Ova/Pse biosynthetic gene cluster.
This biosynthetic scheme was fully consistent with experimental data proposed previously, concerning configurations of compounds 2–6 and sheds light on subunits’ ovalicin absolute configurations.
To more deeply explore the chemical diversity of the P. boydii metabolome, we looked for nodes with intense signals but could not annotate them by searching standards and analogs in MetGem databases. It was chosen to isolate the specialized metabolites showing an ion signal at m/z 323.1433 (Figure 3 and Figure S44 in the Supplementary Materials), which could be a potential original derivative of ovalicin in view of the observed mass. The molecular formula of Compound 7 was determined to be C15H24O6 by ESI-HRMS (m/z 323.1473 [M + Na]+, calcd. for C15H24O6Na+, 323.1471, err 1.3 ppm), indicating the presence of two additional oxygen and the lack of one carbon compared with the molecular formula of ovalicin (1). The 1H NMR spectra of Compounds 1 and 7 displayed some similarities, suggesting that 7 was an analog of 1. The remarkable difference between Compounds 1 and 7 in 1H NMR was the absence, in 7, of the singlet methoxy signal integrating for 3H at δH 3.49 (Table 3).
However, Compound 7 exhibited characteristic dimethylallyl signals at δH 5.24 (m, 1H), δH 1.73 (m, 3H), and 1.67 (m, 3H). The examination of the COSY correlations allowed us to link this dimethylallyl moiety to H-8 at 3.26, (t, J = 6.5 Hz, 1H) [8]. The complete proton assignment of Compound 7 was deduced from the careful examination of COSY, HSQC, and HMBC correlations (Figure 5). HMBC analysis indicated that methylene protons at position 2 at δH 2.22 ppm correlated with a carbonyl carbon of a carboxylic acid at δC 178.0 ppm. The analysis of the HSQC correlations showed that Compound 7 had additional oxygenated methylene proton signals at δH 3.64 and 3.60 ppm. Consequently, we deduced that Compound 7 was an analog of demethylated ovalicin in which the C-1–C-7 bond was cleaved by oxidation or hydrolysis. The relative and absolute stereochemistry at C-7 was defined as drawn in Figure 5 based on biosynthetic considerations (Figure 4). Compound 7 was named boyden C. Unfortunately, as this compound was isolated in small quantities, it could not be biologically tested.

3. Materials and Methods

3.1. General Experimental Procedures

Optical rotations ([α]D) were measured on an Anton Paar MCP 300 polarimeter in a 100 mm long 350 μL cell (Anton Paar, Graz, Austria). IR spectra were recorded using a Perkin Elmer Spectrometer BX FT-IR (Thermo Fisher scientific, Les Ulis, France). Nuclear magnetic resonance (NMR) spectra were recorded on a Bruker 600 MHz spectrometer equipped with a 3 mm inverse detection cryoprobe or a Bruker 500 and 800 MHz spectrometer equipped with a 5 mm inverse detection probe (Bruker, Rheinstetten, Germany). Chemical shifts (δ) are reported as ppm based on the TMS signal. HR-ESI-MS measurements were performed using a Waters Acquity UPLC system with column bypass coupled to a Waters LCT Premier time-of-flight mass spectrometer equipped with an electrospray interface (ESI) (Waters, Manchester, England). Flash chromatography was performed on a Grace Reveleris system with dual UV and ELSD detection equipped with a 40 g C18 column. Analytical and preparative HPLCs were conducted with a Gilson system equipped with a 322 pump device, a GX-271 fraction collector, a 171 diode array detector, and a prepELSII electrospray nebulizer detector (Gilson, Middelton, WI, USA). Columns used for these experiments included a Phenomenex Luna C18 5 μm 4.6 × 250 mm analytical column and a Phenomenex Luna C18 5 μm 21.2 × 250 mm preparative column. The flow rate was set to 1 or 21 mL/min using a linear gradient of H2O mixed with an increasing proportion of CH3CN. Both solvents were HPLC grade and modified with 0.1% formic acid. Potato dextrose agar (PDA) was purchased from Fluka Analytical (Janssen Pharmaceuticalaan, Geel, Belgium). Molecular analyses were performed externally by BACTUP, Saint-Priest, France. MS/MS experiments were performed by direct injection analysis (DIA, 10 μL/min) on an Agilent Q-ToF 6540 (APCI interface) mass spectrometer (Agilent, Santa Clara, CA, USA). Compounds were dissolved in CH2Cl2 at 2 mg/mL and then diluted in CH3CN at 200 μg/mL. The corona current was fixed to 2 µA, while the desolvation gas flow was set to 8 L/min (heated at 300 °C). The capillary, fragmentor, and skimmer voltages were set to 3000 V, 100 V, and 45 V, respectively. A collision energy of 15 eV was used.

3.2. Collection and Identification of Pseudallescheria boydii

Termite workers were collected from an aerial termite nest located in Rémire-Montjoly, French Guiana, in July 2011. The termites were identified as Termes cf. hispaniolae and Nasutitermes corniger by Prof. Reginaldo Constantino (University of Brasilia, Brazil). The workers were surface-sterilized by successive soakings in 70% EtOH (2 min), 5% NaOCl (2 min), and sterile water. The termite was subsequently placed in a Petri dish containing solid PDA medium. After 1 week at 25 °C, the first fungal hyphae to emerge from the insect were sampled and transferred into other Petri dishes. One of the microbial colonies consisted of a pure fungus, which was saved in triplicate at −80 °C in H2O−glycerol (50/50). A sample was submitted for amplification of the nuclear ribosomal internal transcribed spacer region ITS. Sequencing allowed for strain identification by NCBI sequence comparison (Blastn®, Rockville, MD, USA). The sequences have been registered in the NCBI GenBank database (http://www.ncbi.nlm.nih.gov, accessed on 20 December 2021) under the registry numbers KJ023743 (SNB-CN85), KC684883 (SNB-CN73), KJ023735 (SNB-CN71), and KJ023720 (SNB-CN81).

3.3. Culture, Extraction, and Isolation

The P. boydii strains were cultivated on PDA at 26 °C for 15 days, initially on a small scale. The fungus and culture medium were then transferred into a large container and macerated with EtOAc for 24 h. The organic solvent was then collected by filtration, washed with H2O in a separatory funnel and evaporated, yielding the four crude extracts.
The P. boydii strain SNB-CN85 was cultivated on a large scale in 150 × 14 cm Petri dishes, yielding 3.57 g extract. A portion of the extract (1.13 g) was subjected to reversed-phase flash chromatography using a gradient of H2O mixed with an increasing proportion of CH3CN to afford 6 fractions (A to E). The column was then eluted with CH3CN/CH2Cl2 1:1 (Fraction F). Fraction D (300 mg, eluted with H2O/CH3CN, 2:8) was purified by reversed-phase flash chromatography using the same solvent system as mentioned above with a modified gradient. The major compound was collected in pure form and was identified as ovalicin (1) (28.1 mg). Fraction F (89 mg) was subjected to preparative HPLC (Luna C18, elution gradient from 10:90 to 0:100 over 30 min of H2O/ACN) to afford ovalicin linoleate (2) (2.2 mg, RT = 23.0 min), ovalicin oleate (3) (1.5 mg, RT = 30.2 min), fraction i (RT = 22.3–22.5 min), and fraction ii (RT = 24.8–30.1 min). Fraction i was subjected to preparative HPLC (Luna PFP(2), H2O/ACN 25:75) to afford demethylovalicin linoleate (6) (<0.1 mg, RT = 16.1 min) and ovalicin palmitoleate (5) (<0.1 mg, RT = 17.1 min). Fraction ii was subjected to preparative HPLC (Luna PFP(2), elution gradient from 20:80 to 15:85 over 30 min) to afford ovalicin stearate (4) (1.0 mg, RT = 15.0 min).
P. boydii SNB-CN73 was also cultivated on a large scale, similar to SNB-CN85. It yielded 2.46 g of extract. A portion of the extract (1.23 g) was purified by flash chromatography with a linear gradient of hexane−EtOAc followed by another gradient of EtOAc−MeOH. Twelve fractions were gathered based on their TLC profiles. Fraction 11 (29.6 mg), which contained Compound 7, was subjected to preparative HPLC (Luna PFP, elution gradient H2O/ACN from 35:65 to 0:100 over 30 min) to afford 7 (1.1 mg, RT = 6.0 min).
Ovalicin (1), white powder, [α]20D −55.7 (c 0.14, MeOH)/−77.7 (c 0.13 CDCl3), 1H NMR (500 MHz, CDCl3) (Figure S1, Table S1), ESI-HRMS m/z 297.1702 [M + H]+ (calcd. for C16H25O5+, 297.1702) (Figure S2).
Ovalicin linoleate (2), white amorphous solid, [α]20D −26.2 (c 0.4, MeOH), 1H and 13C NMR (Figures S3–S8, Table S2), ESI-HRMS 2 m/z 599.3931 [M + Na]+ (calcd. for C34H56O7Na+, 599.3924) (Figure S9).
Ovalicin oleate (3), colorless amorphous solid, [α]20D −15.7 (c 0.1, MeOH), 1H and 13C NMR (Figures S10–S14, Table S3), ESI-HRMS 3 m/z 601.4091 [M + Na]+ (calcd. for C34H58O7Na+, 601.4080) (Figure S15).
Ovalicin stearate (4), colorless amorphous solid, [α]20D −20.4 (c 0.1, MeOH), 1H and 13C NMR (Figures S16–S20, Table S4), ESI-HRMS m/z 603.4223 [M + Na]+ (calcd. for C34H60O7Na+, 603.4237) (Figure S21).
Ovalicin palmitoleate (5), colorless amorphous solid, [α]20D −21.7 (c 0.1, MeOH), 1H NMR, (Figure S22), ESI-HRMS m/z 573.3793 [M + Na]+ (calcd. for C32H54O7Na+, 573.3767) (Figure S23).
Demethylovalicin linoleate (6), colorless amorphous solid, [α]20D −30.2 (c 0.1, MeOH), 1H and 13C NMR, (Figures S24–S28, Table S5), ESI-HRMS m/z 585.3782 [M + Na]+ (calcd. for C33H54O7Na+, 585.3767) (Figure S29).
Boyden C (7), white powder, [α]20D −10.0 (c 0.1, MeOH), 1H and 13C NMR, (Figures S30–S33, Table 2, Table S11); ESI-HRMS [M + H]+ m/z 301.1654 (calcd. for C15H25O6+ m/z 301.1651) (Figure S34).

3.4. Fatty Acid Methyl Ester Synthesis from Ovalicin Linoleate (2) and Ovalicin Oleate (3)

3.4.1. Hydrolysis

Compound 2 (0.4 mg, 0.69 μmol) and Compound 3 (0.4 mg, 0.69 μmol) were each dissolved in a 1:4 MeOH/THF solution (500 μL). LiOH (0.6 mg, 25.0 μmol) and distilled water (50 μL) were added, and the mixture was stirred for 4 h at 60 °C. The solution was concentrated under reduced pressure, and the residue was dissolved in distilled water (700 μL). After the addition of 0.1 M HCl (300 μL), the aqueous layer was extracted with distilled heptane (3 × 0.5 mL). The combined organic layers were filtered on Na2SO4 and concentrated to afford free fatty acids.

3.4.2. Esterification

The free fatty acids were dissolved in MeOH (500 μL). Each solution was cooled down to 0 °C. SOCl2 (20 μL, 275.4 μmol) was added, and the solution was stirred for 1 h at 50 °C. The solution was concentrated under reduced pressure, and H2O (500 μL) was added. The aqueous solution was extracted with a mixture of Et2O/heptane, 5:95 (2 mL). The organic layers were filtered on a Na2SO4/SiO2 column and concentrated to afford fatty acid methyl esters.

3.5. Semisynthesis of Ovalicin Linoleate, Ovalicin Oleate, and Ovalicin Stearate

3.5.1. Synthesis of Ovalicin Linoleate (2b)

Ovalicin (1, 17.9 mg, 0.06 mmol), linoleic acid (20.4 mg, 0.072 mmol), and KOH (0.7 mg, 0.012 mmol) were dissolved in anhydrous DMSO (0.5 mL). The mixture was stirred for 72 h at 60 °C. The solution was concentrated under reduced pressure, and the residue was dissolved in distilled water (1.5 μL). After addition of 0.1 M HCl (0.1 mL), the aqueous solution was extracted with Et2O (2 × 2.0 mL). The combined organic layers were washed with water (2 mL), filtered, and evaporated to afford a crude mixture (32.2 mg), which was subjected to preparative HPLC (Luna C18, isocratic 5:95 elution over 20 min) to afford synthetic ovalicin linoleate (2) (12.1 mg, RT = 12.8 min).
Synthetic ovalicin linoleate (2b): Yield: 35%, white amorphous solid, [α]22D −28.7 (c 0.1, MeOH), 1H NMR spectrum identical to that of natural 2, m/z 599.3911 [M + Na]+ (calcd. for C34H56O7Na+, 599.3924).

3.5.2. Synthesis of Ovalicin Oleate (3b)

Compound 3 was synthetized according to the procedure mentioned above, with 1 (15.3 mg, 0.052 mmol), oleic acid (17.8 mg, 0.072 mmol), and KOH (0.7 mg, 0.012 mmol). The crude mixture obtained (19.6 mg) was subjected to preparative HPLC to afford synthetic ovalicin oleate (3) (6.5 mg, RT = 18.2 min).
Synthetic ovalicin oleate (3b): Yield: 22%, white amorphous solid, [α]22D −22.4 (c 0.1, MeOH), 1H NMR spectrum identical to that of natural 3, m/z 601.4056 [M + Na]+ (calcd. for C34H56O7Na+, 601.4080).

3.5.3. Synthesis of Ovalicin Stearate (4b)

Compound 4 was synthetized according to the procedure mentioned above with 1 (14.7 mg, 0.050 mmol), stearic acid (21.3 mg, 0.074 mmol), and KOH (1 mg, 0.018 mmol). The crude mixture obtained (31.0 mg) was subjected to preparative HPLC (Luna C18, isocratic 0:100 elution over 20 min) to afford synthetic ovalicin stearate (4) (6.5 mg, RT = 18.0 min).
Synthetic ovalicin stearate (4b): Yield: 22%, white amorphous solid, [α]22D −17.0 (c 0.1, MeOH), 1H NMR spectrum identical to that of natural Compound 4, ESI-HRMS m/z 603.4229 [M + Na]+ (calcd. for C34H60O7Na+, 603.4237).

3.6. Identification of the Double-Bond Position in Fatty Acid Methyl Esters by Liquid Chromatography/Atmospheric Pressure Chemical Ionization Mass Spectrometry

The double-bond positions in the fatty acid methyl esters synthetized from ovalicin linoleate (2) and ovalicin oleate (3) were determined using the method developed by Vrkoslav et al. (Figures S35–S37 in the Supplementary Materials) [36,52].

3.7. Metabolomic Profiling and Molecular Network Analysis

3.7.1. LC–MS/MS and Data Analysis

LC–MS/MS experiments were performed with a 1260 Prime HPLC (Agilent Technologies, Waldbronn, Germany) coupled with an Agilent 6540 Q-ToF (Agilent Technologies, Waldbronn, Germany) tandem mass spectrometer. LC separation was achieved with an Accucore RP-MS column (100 × 2.1 mm, 2.6 μm, Thermo Scientific, Les Ulis, France) with a mobile phase consisting of H2O/formic acid (99.9/0.1) (A)–acetonitrile/formic acid (99.9/0.1) (B). The column oven was set at 45 °C. Compounds were eluted at a flow rate of 0.4 mL·min−1 with a gradient from 5% B to 100% B in 20 min and then 100% B for 3 min. The injection volume was fixed at 5 μL for all analyses. Mass spectra were recorded in electrospray ionization positive ion mode with the following parameters: gas temperature 325 °C, drying gas flow rate 10 L·min−1, nebulizer pressure 30 psi, sheath gas temperature 350 °C, sheath gas flow rate 10 L·min−1, capillary voltage 3500 V, nozzle voltage 500 V, fragmentor voltage 130 V, skimmer voltage 45 V, Octopole 1 RF Voltage 750 V. Internal calibration was achieved with two calibrants, purine and hexakis (1H,1H,3H–tetrafluoropropoxy) phosphazene (m/z 121.0509 and m/z 922.0098), providing a high mass accuracy better than 10 ppm. The data-dependent MS/MS events were acquired for the five most intense ions detected by full-scan MS, from the 200–1000 m/z range, above an absolute threshold of 1000 counts. Selected precursor ions were fragmented at a fixed collision energy of 30 eV and with an isolation window of 1.3 amu. The mass range of the precursor and fragment ions was set as m/z 200–1000.

3.7.2. Data Processing and Analysis

The data files were converted from the .d standard data format (Agilent Technologies, Waldbronn, Germany) to .mzXML format using MSConvert software, part of the ProteoWizard package 3.0 [53]. All mzxml values were processed using MZmine2v51, as previously described [33,34]. Mass detection was realized with an MS1 noise level of 1000 and an MS/MS noise level of 0. The ADAP chromatogram builder was employed with a minimum group size of scans of 3, a group intensity threshold of 1000, a minimum highest intensity of 1000, and m/z tolerance of 0.008 (or 20 ppm). Deconvolution was performed with the ADAP wavelet algorithm according to the following settings: S/N threshold = 10, minimum feature height = 1000, coefficient/area threshold = 10, peak duration range 0.01–1.5 min, and tR wavelet range 0.00–0.04 min. MS/MS scans were paired using a m/z tolerance range of 0.05 Da and tR tolerance range of 0.5 min. Isotopologues were grouped using the isotopic peak grouper algorithm with a m/z tolerance of 0.008 (or 20 ppm) and a tR tolerance of 0.2 min. Peaks were filtered using a feature list row filter, keeping only peaks with MS/MS scans (GNPS). Adduct identification, i.e., sodium- or potassium-cationized species, was performed on the peak list with a retention time tolerance of 0.1 min, a m/z tolerance of 0.008 or 20 ppm, and a maximum relative peak height of 150%. A complex search, such as dimers, was performed with a retention time tolerance of 0.1 min, a m/z tolerance of 0.008 or 20 ppm, and a maximum relative peak height of 150%. Peak alignment was performed using the join aligner with a m/z tolerance of 0.008 (or 20 ppm), a weight for m/z at 20, a retention time tolerance of 0.2 min, and weight for tR at 50. The MGF file and the metadata were generated using the export/submit to GNPS option (https://doi.org/10.5281/zenodo.5733173, accessed on 10 January 2019).
Molecular networks were calculated and visualized using MetGem 1.34 software (https://metgem.github.io/, accessed on 1 March 2019) [34], and MS/MS spectra were window-filtered by choosing only the top 6 peaks in the ±50 Da window throughout the spectrum. The data were filtered by removing all peaks in the ±17 Da range around the precursor m/z. The m/z tolerance windows used to find the matching peaks were set to 0.02 Da, and cosine scores were kept in consideration for spectra sharing at least 2 matching peaks. The number of iterations, perplexity, learning rate, and early exaggeration parameters were set to 5000, 25, 200, and 12 for the t-SNE view.

3.8. Genomic Analyses

3.8.1. gDNA Extraction of P. boydii Strains SNB-CN71, -CN73, -CN81, and -CN85

For high molecular size gDNA extraction, the strains were cultivated on PDA medium on permeable cellophane membranes that were prepared as described by Fauchery et al. [54]. The cellophane membranes were trimmed to the size of the Petri dish, put into boiling distilled water containing EDTA (1 g·L−1) 20 min in order to permeabilize the membrane, rinsed four times in a big container with distilled water, and autoclaved. After 7 days at 26 °C microorganisms were removed from cellophane membrane, snap-frozen, and milled using mortar and pestle. gDNA was extracted from microorganisms using NucleoBond Buffer Set III and AXG 100 (Macherey-Nagel, Hoerdt, France) with slight modifications: 250 mg of milled mycelium was resuspended in 5 mL of buffer G3, 37 °C for 14 h; 1.2 mL of buffer G4 was added; and the solution was gently mixed then incubated at 50 °C for 4 h. Sample was clarified through centrifugation 5000× g, 5 min. After ethanol precipitation, samples were re-dissolved in 100 µL of mQ water. Purity control was carried out on a Nanodrop 2000 spectrophotometer, DNA quantity using a Qubit dsDNA BR assay kit according to the manufacture’s recommendation and a Qubit fluorometer, and quality control on 0.7% agarose gel.

3.8.2. Whole Genome Sequencing and Hybrid Assembly

Whole genome sequencing and hybrid assemblies were performed externally by high-throughput sequencing core facility of I2BC (Centre de Recherche de Gif—http://www.i2bc.paris-saclay.fr/, accessed on 8 September 2020). Briefly, purified DNA libraries were loaded on FLO-MIN106 flowcell and long-read DNA sequences were obtained on a GridION (Oxford Nanopore Technologies). The same DNA used for long-read sequencing was fragmented and sequenced using a paired-end strategy on an Illumina NextSeq 500/550. Basecalling and adapter trimming were performed using guppy 4.3.4-1 and Porechop 0.2.4 for long reads. For short reads, demultiplexing, adapter trimming, and quality control were performed using bcl2fastq2-2.18.12, Cutadapt 1.15, and FastQC v0.11.5, respectively. Finally, genome assembly was achieved using Filtlong to filter reads for length and quality (https://github.com/rrwick/Filtlong, accessed on 11 July 2020), Canu for long-reads assembly (https://github.com/marbl/canu, accessed on 11 July 2020) [55], and Pilon to correct assembly by short reads (https://github.com/broadinstitute/pilon, accessed on 11 July 2020) [56]. Finally, the quality of assembly was assessed using BUSCO [57].

3.9. Biological Tests

3.9.1. Antimicrobial Assays

Pure isolated compounds were tested on human pathogenic microorganisms such as Candida albicans (ATCC 10213) to evaluate their antifungal activities. The test was performed in conformance with a reference protocol from the European Committee on Antimicrobial Susceptibility Testing (EUCAST). The MIC value was obtained after 48 h for C. albicans, and fluconazole (for fungi) was used as a positive control [58].

3.9.2. Antiparasitic Activities

Assay for In Vitro Inhibition of T. brucei brucei Growth

Bloodstream forms of Trypanosoma brucei brucei strain 93 were cultured in HMI9 medium supplemented with 10% FCS at 37 °C under an atmosphere of 5% CO2. In all experiments, log-phage cell cultures were harvested by centrifugation at 3000× g and immediately used. Drug assays were based on the conversion of a redox-sensitive dye (resazurin) to a fluorescent product by viable cells and were performed according to the manufacturer recommendations (AlamarBlue® Assay, Invitrogen Corporation, Carlsbad, CA, USA) [59,60]. Drug stock solutions were prepared in pure DMSO. T. brucei brucei bloodstream forms (3 × 104 cells/mL) were cultured as described above in 96-well plates (200 μL per well) either in the absence or in the presence of different concentrations of inhibitors, with a final DMSO concentration that did not exceed 1%. After a 72 h incubation, resazurin solution was added to each well at with a final concentration of 45 μM. Fluorescence was measured at 530 nm excitation and 590 nm emission wavelengths after a further 4 h incubation. The percentage of inhibition of the parasite growth rate was calculated by comparing the fluorescence of parasites maintained in the presence of drug with that in the absence of drug. DMSO was used as control. Pentamidine was used as an anti-trypanosomal drug control (IC50 = 0.011 ± 0.0017 μM). IC50s were determined from the dose–response curves with drug concentrations ranging from 100 μM to 50 nM. The IC50 value is the mean ± the standard deviation of three independent experiments. Pentamidine was used as an anti-trypanosomal drug control (IC50 = 0.011 ± 0.0017 μM).

In Vitro Growth Inhibition of Chloroquine-Resistant P. falciparum

The FcB1/Colombian strain of Plasmodium falciparum was maintained in vitro in human erythrocytes in an RPMI 1640 reaction mixture supplemented with 8% (v/v) heat-inactivated human serum at 37 °C under an atmosphere of 3% CO2, 6% O2, and 91% N2. The chloroquine-resistant strain FcB1/Colombia of Plasmodium falciparum was obtained from the National Museum Natural History collection, Paris, France (n°MNHN-CEU-224-PfFCB1). Parasites were maintained in vitro on human A+ erythrocytes in RPMI 1640 medium supplemented by 8% (v/v) heat-inactivated human serum at 37 °C under an atmosphere of 3% CO2, 6% O2, and 91% N2. Human red blood cells and serum were provided by the Etablissement Français du Sang, Ile de France (EFS, Paris, France) under the C-CPSL-UNT approval n°13/EFS/126. In vitro drug susceptibility assays were measured by [3H]-hypoxanthine incorporation as described previously [61]. Drug solutions were prepared in DMSO at a 10 mM concentration. Compounds were serially diluted 2-fold with 100 μL culture medium in 96-well plates. Asynchronous parasite cultures (100 μL, 1% parasitemia and 1% final hematocrit) were then added to each well and incubated for 24 h at 37 °C prior to the addition of 0.5 μCi of [3H]-hypoxanthine (GE Healthcare, Tremblay-en-France, France, 1 to 5 Ci·mmol/mL) per well. After a further incubation of 24 h, plates were frozen and thawed. Cell lysates were then collected onto fiberglass filters and counted in a liquid scintillation spectrometer. The growth inhibition for each drug concentration was determined by comparison of the radioactivity incorporated in the treated culture with that in the control culture maintained on the same plate. The concentration causing 50% growth inhibition (IC50) was obtained from the drug concentration–response curve, and the results are expressed as the mean values ± standard deviations determined from several independent experiments. Chloroquine was used as an antimalarial drug control (IC50 = 0.072 ± 0.0074 μM).

3.9.3. Cytotoxic Assay

Human umbilical vein endothelial cells (HUVECs) were obtained from Clonetics (Lonza; Walkersville, MD, USA) and cultured according to the supplier’s instructions. Briefly, HUVECs from three to six passages were subcultured to confluence onto 0.2% gelatin-coated tissue culture flasks in endothelial cell growth medium (EGM2) containing growth factors and 2% FCS. All cell lines were maintained at 37 °C in a humidified atmosphere containing 5% CO2. Cell viability was assessed using Promega (Promega France, Charbonnière-les-Bains, France) CellTiter-BlueTM reagent according to the manufacturer’s instructions. Cells were seeded in 96-well plates (5 × 103 cells per well) containing 50 mL growth medium. After 24 h of culture, the cells were supplemented with 50 mL of test compound dissolved in DMSO (<0.1% in each preparation). After incubation for 72 h, 20 mL resazurin was added for 2 h before recording fluorescence (λex = 560 nm, λem = 590 nm) using a Victor microtiter plate fluorimeter (PerkinElmer France, Villebon-sur-Yvette, France). IC50 values correspond to the concentration of test compound that elicited a 50% decrease in fluorescence for drug-treated cells relative to untreated cells. Experiments were performed in triplicate. Fumagillin was used as a positive control and showed an IC50 of 0.006 ± 0.002 μM.

4. Conclusions

This study combined genomic and metabolomic approaches to study metabolome produced by mutualistic fungal strains of termites from French Guiana of Pseudallescheria genus. It allowed the annotation of tyroscherin analogs previously described, as well as pseurotin A, but also new ovalicin analogs.
Our P. boydii strain collection is a source of diverse ovalicin derivatives, including new fatty acid esters of ovalicin and boyden C that have been isolated and structurally characterized. Compounds 2–4, similar to ovalicin, exhibited antiplasmodial and antitrypanozomal properties. Our work also confirms that P. boydii strains are associated with termite biosynthesized compounds with biological activities. We were able to demonstrate that antiparasitic compounds such as Compounds 1 to 4 are produced in different amounts by the different strains of P. boydii. These same compounds reduce cytotoxicities, with IC50s greater than 10 µM on HUVECs.
The molecular networking analysis allowed the annotation of all isolated compounds and many other ovalicin analogues, together with the isolation and identification of the new ovalicin analog boyden C. Finally, it was possible by genome mining to propose a common biosynthetic pathway for the ovalicin analogs compounds produced by Pseudallescheria sp. strains of our collection. The biosynthesis also permitted the deduction of absolute configurations of ovalicin analogs.
Fungal natural products possess biological activities that are of great value for medicine, agriculture, and manufacturing. Recent “omics” studies accentuated the immense taxonomic diversity of fungi, and the accompanying specialized metabolic diversity provides a significant and still largely untapped resource for natural product discovery. Particular attention will be given in the future to integrative pan-genomic approaches that use a combination of genomic and metabolomic data for parallelized natural product discovery across multiple strains. Such novel technologies will not only expedite the natural product discovery process but will also allow the assembly of a high-quality toolbox for the re-design or even de novo design of biosynthetic pathways using synthetic biology approaches, while continuing to focus on specific environments such as symbiotic microorganisms.

Supplementary Materials

The following are available online, Figure S1: 1H NMR spectrum of ovalicin (1), Figure S2: ESI-HRMS spectra of ovalicin (1), Figures S3–S8: NMR spectra of ovalicin linoleate (2), Figure S9: ESI-HRMS spectra of 2, Figures S10–S14: NMR spectra of ovalicin oleate (3), Figure S15: ESI-HRMS spectra of 3, Figures S16–S20: NMR spectra of ovalicin stearate (4), Figure S21: ESI-HRMS spectra of 4, Figure S22: 1H NMR spectrum of ovalicin palmitoleate (5), Figure S23: ESI-HRMS spectra of 5, Figures S24–S28: NMR spectra of demethylovalicin linoleate (6), Figure S29: ESI-HRMS spectra of 6, Figure S30: HRMS analyses of 2, Figure S31: HRMS analyses of 2b, Figure S32: HRMS analyses of 3, Figure S33: CD spectra of ovalicin (1) and ovalicin esters (2–4), Figure S34: Synthesis of hemisynthetic compounds 2b, 3b and 4b, Figure S35: 1H NMR spectrum of synthetic ovalicin linoleate (2b), Figure S36: Comparison between 1H NMR spectra of synthetic ovalicin linoleate (2b) and natural ovalicin linoleate (2), Figure S37: 1H NMR spectrum of synthetic ovalicin oleate (3b), Figure S38: Comparison between 1H NMR spectra of synthetic ovalicin oleate (3b) and natural ovalicin oleate (3), Figure S39: 1H NMR spectrum of synthetic ovalicin stearate (4b), Figure S40: Comparison between 1H NMR spectra of synthetic ovalicin stearate (4b) and natural ovalicin stearate (4), Figure S41: ESI-HRMS spectra of 2b, Figure S42: ESI-HRMS spectra of 3b, Figure S43: ESI-HRMS spectra of 4b, Figure S44: Molecular network of crude extracts of P. boydii: SNB-CN71, -CN73, -CN81, -CN85, Figure S45: Fragmentation spectra of ovalicin fatty acids, Figures S46–S50: NMR (800 MHz, CD3OD) spectra of 7, Figure S51: ESI-HRMS of compound 7. Table S1: NMR data table for ovalicin (1) and comparison with literature data, Table S2: Full NMR data ovalicin linoleate (2) recorded, Table S3: Full NMR data ovalicin oleate (3), Table S4: Full NMR data ovalicin stearate (4), Table S5: Full NMR data of demethylovalicin linoleate (6), Table S6: Stereochemistry of the fatty acid double bounds, Table S7: Basic genomes statistics and BUSCO scores, Table S8: Pbo_Ova biosynthetic gene cluster annotation, Table S9: Pbo_Pse biosynthetic gene cluster annotation, Table S10: Annotated ovalicins from P. boydii crude extracts, synthetized by Pbo_Ova biosynthetic pathway, Table S11: Full NMR data of 7. Pseudallescheria boydii SNB-CN71, -CN73, -CN81, -CN85 genomes.fasta and.gff. References [39,62] have been cited in the Supplementary Materials.

Author Contributions

Conceptualization, V.E. and J.S.; methodology, V.E., J.S., D.T. and D.S.; software, D.T. and T.H.; validation, D.S., J.S. and V.E.; formal analysis, J.S., C.L.-L., T.G., P.G. and N.E.; investigation, N.E., J.S. and T.H.; resources, V.E., D.S. and D.T.; data curation, J.S., T.H. and N.E.; writing—original draft preparation, V.E., J.S., D.T., N.E. and T.H.; writing—review and editing, V.E. and J.S.; visualization, D.S.; supervision, V.E., D.T. and D.S.; project administration, V.E.; funding acquisition, V.E., D.S. and D.T. All authors have read and agreed to the published version of the manuscript.

Funding

This work has benefited from an “Investissement d’Avenir” grant managed by the French National Research Agency [CEBA, ref. ANR-10-LABX-0025].

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Téo Hebra thanks the ministère de l’Enseignement supérieur, de la Recherche et de l’Innovation (MESRI) for his PhD fellowship. We thank the GDRi INP-CHEM for financing the strains sequencing. This work has benefited from the facilities and expertise of the high-throughput sequencing core facility of I2BC (Centre de Recherche de Gif—http://www.i2bc.paris-saclay.fr/, accessed on 11 July 2020).

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the compounds are available from the authors.

References

  1. Purvis, A.; Hector, A. Getting the measure of biodiversity. Nature 2000, 405, 212–219. [Google Scholar] [CrossRef] [PubMed]
  2. Adnani, N.; Rajski, S.R.; Bugni, T.S. Symbiosis-inspired approaches to antibiotic discovery. Nat. Prod. Rep. 2017, 34, 784–814. [Google Scholar] [CrossRef] [PubMed]
  3. van Arnam, E.B.; Currie, C.R.; Clardy, J. Defense contracts: Molecular protection in insect-microbe symbioses. Chem. Soc. Rev. 2018, 47, 1638–1651. [Google Scholar] [CrossRef]
  4. Beemelmanns, C.; Guo, H.; Rischer, M.; Poulsen, M. Natural products from microbes associated with insects. Beilstein J. Org. Chem. 2016, 12, 314–327. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Carr, G.; Poulsen, M.; Klassen, J.L.; Hou, Y.; Wyche, T.P.; Bugni, T.S.; Currie, C.R.; Clardy, J. Microtermolides A and B from Termite-Associated Streptomyces sp. and Structural Revision of Vinylamycin. Org. Lett. 2012, 14, 2822–2825. [Google Scholar] [CrossRef] [PubMed]
  6. Nowak, M.A.; Tarnita, C.E.; Wilson, E.O. The evolution of eusociality. Nature 2010, 466, 1057–1062. [Google Scholar] [CrossRef]
  7. Matsui, T.; Tanaka, J.; Namihira, T.; Shinzato, N. Antibiotics production by an actinomycete isolated from the termite gut. J. Basic Microbiol. 2012, 52, 731–735. [Google Scholar] [CrossRef]
  8. Nirma, C.; Eparvier, V.; Stien, D. Antibacterial Ilicicolinic Acids C and D and Ilicicolinal from Neonectria discophora SNB-CN63 Isolated from a Termite Nest. J. Nat. Prod. 2015, 78, 159–162. [Google Scholar] [CrossRef]
  9. Nirma, C.; Eparvier, V.; Stien, D. Reactivation of antibiosis in the entomogenous fungus Chrysoporthe sp. SNB-CN74. J. Antibiot. 2015, 68, 586–590. [Google Scholar] [CrossRef]
  10. Sorres, J.; Sabri, A.; Brel, O.; Stien, D.; Eparvier, V. Ilicicolinic acids and ilicicolinal derivatives from the fungus Neonectria discophora SNB-CN63 isolated from the nest of the termite Nasutitermes corniger found in French Guiana show antimicrobial activity. Phytochemistry 2018, 151, 69–77. [Google Scholar] [CrossRef]
  11. Jouquet, P.; Chaudhary, E.; Kumar, A.R.V. Sustainable use of termite activity in agro-ecosystems with reference to earthworms. Agron. Sustain. Dev. 2018, 38, 3. [Google Scholar] [CrossRef] [Green Version]
  12. Khan, M.A.; Ahmad, W.; Paul, B. Ecological impacts of termites. In Termites and Sustainable Management. Sustainability in Plant and Crop Protection; Khan, M., Ahmad, W., Eds.; Springer: Cham, Switzerland, 2018; pp. 201–206. [Google Scholar] [CrossRef]
  13. Woon, J.S.; Boyle, M.J.W.; Ewers, R.M.; Chung, A.; Eggleton, P. Termite environmental tolerances are more linked to desiccation than temperature in modified tropical forests. Insectes Sociaux 2019, 66, 57–64. [Google Scholar] [CrossRef] [Green Version]
  14. Bignell, D.; Eggleton, P. Termites in ecosystems. In Termites: Evolution, Sociality, Symbioses, Ecology; Abe, T., Bignell, D.E., Higashi, M., Eds.; Kluwer Academy: Amsterdam, The Netherlands, 2000; pp. 363–387. [Google Scholar]
  15. Roose-Amsaleg, C.; Brygoo, Y.; Harry, M. Ascomycete diversity in soil-feeding termite nests and soils from a tropical rainforest. Environ. Microbiol. 2004, 6, 462–469. [Google Scholar] [CrossRef] [PubMed]
  16. Rosengaus, R.B.; Moustakas-Verho, J.E.; Calleri, D.V.; Traniello, J.F.A. Nesting ecology and cuticular microbial loads in dampwood (Zootermopsis angusticollis) and drywood termites (Incisitermes minor, I. schwarzi, Cryptotermes cavifrons). J. Insect Sci. 2003, 3, 1–6. [Google Scholar] [CrossRef]
  17. Korb, J.; Linsenmair, K.E. Thermoregulation of termite mounds: What role does ambient temperature and metabolism of the colony play? Insectes Sociaux 2000, 47, 357–363. [Google Scholar] [CrossRef]
  18. Stien, D. Marine Microbial Diversity as a Source of Bioactive Natural Products. Mar. Drugs 2020, 18, 215. [Google Scholar] [CrossRef]
  19. Ióca, L.P.; Allard, P.-M.; Berlinck, R.G.S. Thinking big about small beings–The (yet) underdeveloped microbial natural products chemistry in Brazil. Nat. Prod. Rep. 2014, 31, 646–675. [Google Scholar] [CrossRef]
  20. Nirma, C.; Eparvier, V.; Stien, D. Antifungal Agents from Pseudallescheria boydii SNB-CN73 Isolated from a Nasutitermes sp. Termite. J. Nat. Prod. 2013, 76, 988–991. [Google Scholar] [CrossRef]
  21. Sorres, J.; Nirma, C.; Barthélemy, M.; Eparvier, V.; Stien, D. Tyroscherin and tyroscherin analogs from Pseudallescheria boydii SNB-CN85 isolated from termite Termes cf. hispaniolae. Phytochem. Lett. 2017, 22, 142–144. [Google Scholar] [CrossRef]
  22. Sorres, J.; Nirma, C.; Eparvier, V.; Stien, D. Pseudallicins A–D: Four Complex Ovalicin Derivatives from Pseudallescheria boydii SNB-CN85. Org. Lett. 2017, 19, 3978–3981. [Google Scholar] [CrossRef] [Green Version]
  23. Wu, Q.; Jiang, N.; Han, W.B.; Mei, Y.N.; Ge, H.M.; Guo, Z.K.; Weng, N.S.; Tan, R.X. Antibacterial epipolythiodioxopiperazine and unprecedented sesquiterpene from Pseudallescheria boydii, a beetle (coleoptera)-associated fungus. Org. Biomol. Chem. 2014, 12, 9405–9412. [Google Scholar] [CrossRef] [PubMed]
  24. Pavlaskova, K.; Nedved, J.; Kuzma, M.; Zabka, M.; Sulc, M.; Sklenar, J.; Novak, P.; Benada, O.; Kofronova, O.; Hajduch, M.; et al. Characterization of Pseudacyclins A−E, a Suite of Cyclic Peptides Produced by Pseudallescheria boydii. J. Nat. Prod. 2010, 73, 1027–1032. [Google Scholar] [CrossRef] [PubMed]
  25. Li, X.; Kim, S.-K.; Nam, K.W.; Kang, J.S.; Choi, H.D.; Son, B.W. A New Antibacterial Dioxopiperazine Alkaloid Related to Gliotoxin from a Marine Isolate of the Fungus Pseudallescheria. J. Antibiot. 2006, 59, 248–250. [Google Scholar] [CrossRef] [PubMed]
  26. Bibashi, E.; de Hoog, G.S.; Kostopoulou, E.; Tsivitanidou, M.; Sevastidou, J.; Geleris, P. Invasive infection caused by Pseudallescheria boydii in an immunocompetent patient. Hippokratia 2009, 13, 184–186. [Google Scholar]
  27. Maebayashi, Y.; Horie, Y.; Satoh, Y.; Yamazaki, M. Isolation of pseurotin A and a new pyrazine from Pseudallescheria boydii. JSM Mycotoxins 1985, 1985, 33–34. [Google Scholar] [CrossRef] [Green Version]
  28. Ko, W.-H.; Tsou, Y.-J.; Ju, Y.-M.; Hsieh, H.-M.; Ann, P.-J. Production of a Fungistatic Substance by Pseudallescheria boydii Isolated from Soil Amended with Vegetable Tissues and Its Significance. Mycopathologia 2010, 169, 125–131. [Google Scholar] [CrossRef]
  29. Wang, M.; Carver, J.J.; Phelan, V.V.; Sanchez, L.M.; Garg, N.; Peng, Y.; Nguyen, D.D.; Watrous, J.; Kapono, C.A.; Luzzatto-Knaan, T.; et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking. Nat. Biotechnol. 2016, 34, 828–837. [Google Scholar] [CrossRef] [Green Version]
  30. Wolfender, J.-L.; Litaudon, M.; Touboul, D.; Queiroz, E.F. Innovative omics-based approaches for prioritisation and targeted isolation of natural products–New strategies for drug discovery. Nat. Prod. Rep. 2019, 36, 855–868. [Google Scholar] [CrossRef] [Green Version]
  31. Dührkop, K.; Shen, H.; Meusel, M.; Rousu, J.; Böcker, S. Searching molecular structure databases with tandem mass spectra using CSI:FingerID. Proc. Natl. Acad. Sci. USA 2015, 112, 12580–12585. [Google Scholar] [CrossRef] [Green Version]
  32. Pluskal, T.; Castillo, S.; Villar-Briones, A.; Orešič, M. MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data. BMC Bioinform. 2010, 11, 395. [Google Scholar] [CrossRef] [Green Version]
  33. Olivon, F.; Allard, P.-M.; Koval, A.; Righi, D.; Genta-Jouve, G.; Neyts, J.; Apel, C.; Pannecouque, C.; Nothias, L.-F.; Cachet, X.; et al. Bioactive Natural Products Prioritization Using Massive Multi-Informational Molecular Networks. ACS Chem. Biol. 2017, 12, 2644–2651. [Google Scholar] [CrossRef] [PubMed]
  34. Olivon, F.; Elie, N.; Grelier, G.; Roussi, F.; Litaudon, M.; Touboul, D. MetGem Software for the Generation of Molecular Networks Based on the t-SNE Algorithm. Anal. Chem. 2018, 90, 13900–13908. [Google Scholar] [CrossRef]
  35. Nothias, L.-F.; Boutet-Mercey, S.; Cachet, X.; de La Torre, E.; Laboureur, L.; Gallard, J.-F.; Retailleau, P.; Brunelle, A.; Dorrestein, P.C.; Costa, J.; et al. Environmentally Friendly Procedure Based on Supercritical Fluid Chromatography and Tandem Mass Spectrometry Molecular Networking for the Discovery of Potent Antiviral Compounds from Euphorbia semiperfoliata. J. Nat. Prod. 2017, 80, 2620–2629. [Google Scholar] [CrossRef] [PubMed]
  36. Vrkoslav, V.; Cvačka, J. Identification of the double-bond position in fatty acid methyl esters by liquid chromatography/atmospheric pressure chemical ionisation mass spectrometry. J. Chromatogr. A 2012, 1259, 244–250. [Google Scholar] [CrossRef] [PubMed]
  37. Barthélemy, M.; Elie, N.; Pellissier, L.; Wolfender, J.-L.; Stien, D.; Touboul, D.; Eparvier, V. Structural Identification of Antibacterial Lipids from Amazonian Palm Tree Endophytes through the Molecular Network Approach. Int. J. Mol. Sci. 2019, 20, 2006. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Frost, D.J.; Gunstone, F.D. The PMR analysis of non-conjugated alkenoic and alkynoic acids and esters. Chem. Phys. Lipids 1975, 15, 53–85. [Google Scholar] [CrossRef]
  39. Gunstone, F.; Pollard, M.; Scrimgeour, C.; Vedanayagam, H. Fatty acids. Part 50. 13C nuclear magnetic resonance studies of olefinic fatty acids and esters. Chem. Phys. Lipids 1977, 18, 115–129. [Google Scholar] [CrossRef]
  40. Griffith, E.C.; Su, Z.; Niwayama, S.; Ramsay, C.A.; Chang, Y.-H.; Liu, J.O. Molecular recognition of angiogenesis inhibitors fumagillin and ovalicin by methionine aminopeptidase 2. Proc. Natl. Acad. Sci. USA 1998, 95, 15183–15188. [Google Scholar] [CrossRef] [Green Version]
  41. Pérez-Moreno, G.; Cantizani, J.; Sánchez-Carrasco, P.; Ruiz-Perez, L.M.; Martín, J.; El Aouad, N.; Pérez-Victoria, I.; Tormo, J.; Gonzalez-Menendez, V.; González, I.; et al. Discovery of New Compounds Active against Plasmodium falciparum by High Throughput Screening of Microbial Natural Products. PLoS ONE 2016, 11, e0145812. [Google Scholar] [CrossRef]
  42. Ingber, D.; Fujita, T.; Kishimoto, S.; Sudo, K.; Kanamaru, T.; Brem, H.; Folkman, J. Synthetic analogues of fumagillin that inhibit angiogenesis and suppress tumour growth. Nature 1990, 348, 555–557. [Google Scholar] [CrossRef]
  43. Corey, E.J.; Guzman-Perez, A.; Noe, M.C. Short Enantioselective Synthesis of (−)−Ovalicin, a Potent Inhibitor of Angiogenesis, Using Substrate-Enhanced Catalytic Asymmetric Dihydroxylation. J. Am. Chem. Soc. 1994, 116, 12109–12110. [Google Scholar] [CrossRef]
  44. Manni, M.; Berkeley, M.R.; Seppey, M.; Simão, F.A.; Zdobnov, E.M. BUSCO Update: Novel and Streamlined Workflows along with Broader and Deeper Phylogenetic Coverage for Scoring of Eukaryotic, Prokaryotic, and Viral Genomes. Mol. Biol. Evol. 2021, 38, 4647–4654. [Google Scholar] [CrossRef] [PubMed]
  45. Kishimoto, S.; Tsunematsu, Y.; Sato, M.; Watanabe, K. Elucidation of Biosynthetic Pathways of Natural Products. Chem. Rec. 2017, 17, 1095–1108. [Google Scholar] [CrossRef]
  46. Cane, D.E.; McIlwaine, D.B. The biosynthesis of ovalicin from β-trans-bergamotene. Tetrahedron Lett. 1987, 28, 6545–6548. [Google Scholar] [CrossRef]
  47. Lin, H.-C.; Chooi, Y.-H.; Dhingra, S.; Xu, W.; Calvo, A.M.; Tang, Y. The Fumagillin Biosynthetic Gene Cluster in Aspergillus fumigatus Encodes a Cryptic Terpene Cyclase Involved in the Formation of β-trans-Bergamotene. J. Am. Chem. Soc. 2013, 135, 4616–4619. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Blin, K.; Shaw, S.; Kautsar, S.A.; Medema, M.H.; Weber, T. The antiSMASH database version 3: Increased taxonomic coverage and new query features for modular enzymes. Nucleic Acids Res. 2021, 49, D639–D643. [Google Scholar] [CrossRef]
  49. Wiemann, P.; Guo, C.-J.; Palmer, J.M.; Sekonyela, R.; Wang, C.C.C.; Keller, N.P. Prototype of an intertwined secondary-metabolite supercluster. Proc. Natl. Acad. Sci. USA 2013, 110, 17065–17070. [Google Scholar] [CrossRef] [Green Version]
  50. Mistry, J.; Chuguransky, S.; Williams, L.; Qureshi, M.; Salazar, G.A.; Sonnhammer, E.L.L.; Tosatto, S.C.E.; Paladin, L.; Raj, S.; Richardson, L.J.; et al. Pfam: The protein families database in 2021. Nucleic Acids Res. 2021, 49, D412–D419. [Google Scholar] [CrossRef]
  51. Bateman, A.; Martin, M.J.; Orchard, S.; Magrane, M.; Agivetova, R.; Ahmad, S.; Alpi, E.; Bowler-Barnett, E.H.; Britto, R.; Bursteinas, B.; et al. UniProt: The universal protein knowledgebase in 2021. Nucleic Acids Res. 2021, 49, D480–D489. [Google Scholar] [CrossRef]
  52. Vrkoslav, V.; Háková, M.; Pecková, K.; Urbanová, K.; Cvačka, J. Localization of double bonds in wax esters by high-performance liquid chromatography/atmospheric pressure chemical ionization mass utilizing the fragmentation of acetonitrile-related adducts. Anal. Chem. 2011, 83, 2978–2986. [Google Scholar] [CrossRef]
  53. Chambers, M.C.; Maclean, B.; Burke, R.; Amodei, D.; Ruderman, D.L.; Neumann, S.; Gatto, L.; Fischer, B.; Pratt, B.; Egertson, J.; et al. A cross-platform toolkit for mass spectrometry and proteomics. Nat. Biotechnol. 2012, 30, 918–920. [Google Scholar] [CrossRef] [PubMed]
  54. Fauchery, L.; Uroz, S.; Buee, M.; Kohler, A. Purification of Fungal High Molecular Weight Genomic DNA from Environmental Samples. In Fungal Genomics; de Vries, R.P., Tsang, A., Grigoriev, I.V., Eds.; Springer: New York, NY, USA, 2018; Volume 1775, pp. 21–35. [Google Scholar] [CrossRef]
  55. Koren, S.; Walenz, B.P.; Berlin, K.; Miller, J.R.; Bergman, N.H.; Phillippy, A.M. Canu: Scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res. 2017, 27, 722–736. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Walker, B.J.; Abeel, T.; Shea, T.; Priest, M.; Abouelliel, A.; Sakthikumar, S.; Cuomo, C.A.; Zeng, Q.; Wortman, J.; Young, S.K.; et al. Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement. PLoS ONE 2014, 9, e112963. [Google Scholar] [CrossRef] [PubMed]
  57. Simão, F.A.; Waterhouse, R.M.; Ioannidis, P.; Kriventseva, E.V.; Zdobnov, E.M. BUSCO: Assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 2015, 31, 3210–3212. [Google Scholar] [CrossRef] [Green Version]
  58. Clinical and Laboratory Standards Institute. Reference Method for Broth Dilution Antifungal Susceptibility Testing of Yeast, 3rd ed.; CLSI: Wayne, PA, USA, 2008. [Google Scholar]
  59. Thévenin, M.; Mouray, E.; Grellier, P.; Dubois, J. Facile Formation of Methylenebis(chalcone)s through Unprecedented Methylenation Reaction. Application to Antiparasitic and Natural Product Synthesis. Eur. J. Org. Chem. 2014, 2014, 2986–2992. [Google Scholar] [CrossRef]
  60. Kavvadias, D.; Sand, P.; Youdim, K.A.; Qaiser, M.Z.; Rice-Evans, C.; Baur, R.; Sigel, E.; Rausch, W.-D.; Riederer, P.; Schreier, P. The flavone hispidulin, a benzodiazepine receptor ligand with positive allosteric properties, traverses the blood-brain barrier and exhibits anticonvulsive effects. Br. J. Pharmacol. 2004, 142, 811–820. [Google Scholar] [CrossRef]
  61. Bosc, D.; Lethu, S.; Mouray, E.; Grellier, P.; Dubois, J. Improvement of the trypanocidal activity of 3-arylthiophene farnesyltransferase inhibitors by modulation of their 3-aryl group. Med. Chem. Commun. 2012, 3, 1512–1517. [Google Scholar] [CrossRef]
  62. Takamatsu, S.; Kim, Y.P.; Komiya, T.; Sunazuka, T.; Hayashi, M.; Tanaka, H.; Komiyama, K.; Omura, S. Chlovalicin, a new cytocidal antibiotic produced by Sporothrix sp. FO-4649. II. Physicochemical properties and structural elucidation. J. Antibiot. 1996, 49, 635–638. [Google Scholar] [CrossRef] [Green Version]
Molecules 27 01182 g001 550
Figure 1. Structure of Compounds 2–6 isolated from P. boydii SNB-CN85.
Figure 1. Structure of Compounds 2–6 isolated from P. boydii SNB-CN85.
Molecules 27 01182 g001
Molecules 27 01182 g002 550
Figure 2. Example of observed key 1H-1H COSY (bold bonds) and 1H-13C (plain arrow) correlations observed for 2–5 (example from molecule 2).
Figure 2. Example of observed key 1H-1H COSY (bold bonds) and 1H-13C (plain arrow) correlations observed for 2–5 (example from molecule 2).
Molecules 27 01182 g002
Molecules 27 01182 g003 550
Figure 3. Molecular network with t-SNE representation of crude extracts of P. boydii. SNB-CN71, -CN73, -CN81, and -CN85; in purple cluster close to the sodium-cationized ovalicin (1), ester analogs and other ovalicin fatty acid derivatives identified by dereplication (dotted lines), in the dark blue cluster of the protonated tyroscherin and N-methyltyrocherin.
Figure 3. Molecular network with t-SNE representation of crude extracts of P. boydii. SNB-CN71, -CN73, -CN81, and -CN85; in purple cluster close to the sodium-cationized ovalicin (1), ester analogs and other ovalicin fatty acid derivatives identified by dereplication (dotted lines), in the dark blue cluster of the protonated tyroscherin and N-methyltyrocherin.
Molecules 27 01182 g003
Molecules 27 01182 g004 550
Figure 4. Annotated biosynthetic gene cluster Pbo_Ova of P. boydii and related biosynthetic pathways (the different analogs of β–trans–bergamoten are indicated under the acronym Btb). R: carbon chain.
Figure 4. Annotated biosynthetic gene cluster Pbo_Ova of P. boydii and related biosynthetic pathways (the different analogs of β–trans–bergamoten are indicated under the acronym Btb). R: carbon chain.
Molecules 27 01182 g004
Molecules 27 01182 g005 550
Figure 5. (A) Structure of Compound 7 isolated from P. boydii SNB-CN73 and (B) key 1H-1H COSY (bold bonds) and long-range 1H-13C (plain arrow) correlations.
Figure 5. (A) Structure of Compound 7 isolated from P. boydii SNB-CN73 and (B) key 1H-1H COSY (bold bonds) and long-range 1H-13C (plain arrow) correlations.
Molecules 27 01182 g005
Table
Table 1. NMR spectroscopic data of 2–6 in CD3OD.
Table 1. NMR spectroscopic data of 2–6 in CD3OD.
N°23456
Pos.δc, TypeδH (J in Hz)δcδHδcδHδHδcδH
1211.1, C 211.1, C 211.2, C 211.6, C
236.5, CH22.74, m36.5, CH22.74, bsex (7.3)36.5, CH22.74, td (13.7; 7.6)2.74, m36.5, CH22.76, m
2.22, m 2.22, m 2.23, m2.22, m 2.29, m
332.8, CH22.10, dd (13.6, 5.1)32.7, CH22.09, m32.8, CH22.09, td (13.6; 7.1)2.09, m32.8, CH22.12, m
2.01, ddd (13.6, 7.1, 2.0) 2.01, m 2.01, ddd (13.6; 7.1; 1.9)2.01, m 2.04, m
476.5, C 76.5, C 76.5 *, C 76.3 *, C
582.8, C 82.7, C 82.8, C 81.8 *, C
662.8, C 62.7 *, C 62.7 *, C 62.3 *, C
786.2, CH4.69, s86.2, CH4.69, s86.2, CH4.69, s4.69, s77.5, CH5.02, s
858.4, CH2.97, t (6.5)58.3, CH2.97, t (6.5)58.4, CH2.97, t (6.5)2.97, t (6.5)57.9 *, CH2.96, t (6.8)
928.4, CH22.38, m28.4, CH22.37, m28.4, CH22.38, m2.37, m28.4, CH22.38, m
2.26, m 2.27, m 2.25, m2.26, m 2.26, m
10119.8, CH5.28, m119.8, CH5.27, m119.8, CH5.27, m5.27, m119.9, CH5.28, m
11136.1, C 136.1, C 136.1, C 136.0, C
1226.1, CH31.72, brd (1.2)26.1, CH31.73, bd (1.1)26.0, CH31.73, bs1.73, bd (1.2)26.1, CH31.72, bs
1318.2, CH31.68, brd (0.9)18.2, CH31.68, bd (0.8)18.2, CH31.68, bs1.68, bd (0.8)18.2, CH31.68, bs
1469.4, CH24.17, d (11.2)69.4, CH24.17, d (11.1)69.4, CH24.17, d (11.1)4.17, d (11.1)69.5, CH24.18, d (11.1)
4.11, d (11.2) 4.11, d (11.1) 4.11, d (11.1)4.11, d (11.1) 4.12, d (11.1)
1516.3, CH31.54, s16.3, CH31.55, s16.3, CH31.54, s1.55, s16.3, CH31.61, s
OMe59.7, CH33.49, s59.7, CH33.49, s59.7, CH33.48, s3.49, s175.2, C
1′175.5, C 175.4, C 175.5, C 35.1, CH22.38, m
2′35.1, CH22.38, t (7.4)35.1, CH22.38, m35.1, CH22.38, m2.38, m26.2, CH21.64, m
3′26.2, CH21.64, m26.1, CH21.64, m26.4, CH21.25–1.37, m1.64, m30.2–30.8, CH21.27–1.40, m
4′–7′30.3−30.8, CH21.28, m–1.40, m30.2–31.0, CH21.26–1.40, m30.3–31.0, CH21.25–1.37, m1.25–1.40, m30.4, CH21.37, m
8′28.3, CH22.07, m28.3, CH22.03, m33.2, CH21.25–1.37, m2.03, m28.4, CH22.07, m
9′131.0, CH5.36, m130.9, CH5.35, m23.9, CH21.25–1.37, m5.35, m131.0, CH5.36, m
10′129.3, CH5.33, m131.1, CH5.35, m14.6, CH31.25–1.37, m5.35, m129.3, CH5.33, m
11′26.7, CH22.78, m28.3, CH22.03, m211.2, C1.25–1.37, m2.03, m26.7, CH22.77, m
12′129.2, CH5.33, m30.2–31.0, CH21.26–1.40, m36.5, CH21.25–1.37, m1.26–1.40, m129.2, CH5.33, m
13′131.1, CH5.36, m30.2–1.0, CH21.26–1.40, m 1.25–1.37, m1.30, m131.1, CH5.36, m
14′28.3, CH22.07, m30.2–31.0, CH21.26–1.40, m32.8, CH21.25–1.37, m1.29, m28.4, CH22.07, m
15′30.3–30.8, CH21.28, m–1.40, m30.2–31.0, CH21.26–1.40, m 1.25–1.37, m0.90, t (7.0)30.4, CH21.37, m
16′32.8, CH21.31, m33.2, CH21.30, m76.5 *, C1.29, m 32.8, CH21.31, m
17′23.8, CH21.34, m23.9, CH21.29, m82.8, C1.29, m 23.8, CH21.33, m
18′14.6, CH30.91, t (7.0)14.6, CH30.90, t (7.0)62.7 *, C0.90, t (7.0) 14.60.91, t (7.2)
*: deduced from HMBC correlations.
Table
Table 2. Evaluation of antiparasitic activities of Compounds 1–4.
Table 2. Evaluation of antiparasitic activities of Compounds 1–4.
Cmpd.P. falciparum (IC50 µM)T. brucei brucei (IC50 µM)HUVECs (IC50 µM)
113.6 ± 6.40.41 ± 0.1713 ± 2
219.8 ± 6.71.1 ± 0.537 ± 3
3>504.8 ± 2.745 ± 2
420.6 ± 4.64.1 ± 2.170 ± 1
Table
Table 3. 1H and 13C NMR data of 7 recorded in CD3OD.
Table 3. 1H and 13C NMR data of 7 recorded in CD3OD.
PositionδC, TypeδH (J in Hz)
1178.0, C
229.3, CH22.22
325.6, CH22.27, m
2.05, m
461.5, C
576.0, C
663.4, C
763.6, CH23.64, d (11.6)
3.60, d (11.6)
858.3, CH3.26, t (6.5)
928.0, CH22.36, m
2.22, m
10119.8, C5.24, m
11135.4, C
1225.8, CH31.67, s
1317.9, CH31.73, s
1448.83.00, d (3.9)
2.68, d (3.9)
1517.6, CH31.37, s
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Sorres, J.; Hebra, T.; Elie, N.; Leman-Loubière, C.; Grayfer, T.; Grellier, P.; Touboul, D.; Stien, D.; Eparvier, V. Antiparasitic Ovalicin Derivatives from Pseudallescheria boydii, a Mutualistic Fungus of French Guiana Termites. Molecules 2022, 27, 1182. https://doi.org/10.3390/molecules27041182

AMA Style

Sorres J, Hebra T, Elie N, Leman-Loubière C, Grayfer T, Grellier P, Touboul D, Stien D, Eparvier V. Antiparasitic Ovalicin Derivatives from Pseudallescheria boydii, a Mutualistic Fungus of French Guiana Termites. Molecules. 2022; 27(4):1182. https://doi.org/10.3390/molecules27041182

Chicago/Turabian Style

Sorres, Jonathan, Téo Hebra, Nicolas Elie, Charlotte Leman-Loubière, Tatyana Grayfer, Philippe Grellier, David Touboul, Didier Stien, and Véronique Eparvier. 2022. "Antiparasitic Ovalicin Derivatives from Pseudallescheria boydii, a Mutualistic Fungus of French Guiana Termites" Molecules 27, no. 4: 1182. https://doi.org/10.3390/molecules27041182

Article Metrics

Back to TopTop