Next Article in Journal
Two Benthic Diatoms, Nanofrustulum shiloi and Striatella unipunctata, Encapsulated in Alginate Beads, Influence the Reproductive Efficiency of Paracentrotus lividus by Modulating the Gene Expression
Next Article in Special Issue
Biogenic Synthesis of Copper Nanoparticles Using Bacterial Strains Isolated from an Antarctic Consortium Associated to a Psychrophilic Marine Ciliate: Characterization and Potential Application as Antimicrobial Agents
Previous Article in Journal
Rapid Sorting of Fucoxanthin-Producing Phaeodactylum tricornutum Mutants by Flow Cytometry
Previous Article in Special Issue
Anti-Food Allergic Compounds from Penicillium griseofulvum MCCC 3A00225, a Deep-Sea-Derived Fungus
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Svalbamides A and B, Pyrrolidinone-Bearing Lipodipeptides from Arctic Paenibacillus sp.

1
Natural Products Research Institute, College of Pharmacy, Seoul National University, Seoul 08826, Korea
2
Department of Biological Sciences, Inha University, Incheon 22212, Korea
3
Department of Chemistry and Nanoscience, Ewha Womans University, Seoul 03760, Korea
4
Korea Polar Research Institute, Incheon 21990, Korea
*
Author to whom correspondence should be addressed.
Mar. Drugs 2021, 19(4), 229; https://doi.org/10.3390/md19040229
Submission received: 30 March 2021 / Revised: 15 April 2021 / Accepted: 15 April 2021 / Published: 17 April 2021
(This article belongs to the Special Issue Bioactive Molecules from Extreme Environments II)

Abstract

:
Two new secondary metabolites, svalbamides A (1) and B (2), were isolated from a culture extract of Paenibacillus sp. SVB7 that was isolated from surface sediment from a core (HH17-1085) taken in the Svalbard archipelago in the Arctic Ocean. The combinational analysis of HR-MS and NMR spectroscopic data revealed the structures of 1 and 2 as being lipopeptides bearing 3-amino-2-pyrrolidinone, d-valine, and 3-hydroxy-8-methyldecanoic acid. The absolute configurations of the amino acid residues in svalbamides A and B were determined using the advanced Marfey’s method, in which the hydrolysates of 1 and 2 were derivatized with l- and d- forms of 1-fluoro-2,4-dinitrophenyl-5-alanine amide (FDAA). The absolute configurations of 1 and 2 were completely assigned by deducing the stereochemistry of 3-hydroxy-8-methyldecanoic acid based on DP4 calculations. Svalbamides A and B induced quinone reductase activity in Hepa1c1c7 murine hepatoma cells, indicating that they represent chemotypes with a potential for functioning as chemopreventive agents.

Graphical Abstract

1. Introduction

Marine habitats were generally recognized as extreme environments exposing organisms to conditions of high salt, high pressure, and hypoxia, forcing them to develop unique physiologies in comparison to their terrestrial counterparts. Among the marine organisms, bacteria have always contributed significantly as a source for the discovery of new marine natural products, with 232 new compounds found in 2019 alone [1]. However, most (62.5%) of the new marine-bacterial molecules were derived from the single genus Streptomyces. We also reported the dimeric benz[a]anthracene thioethers donghaesulfins A and B, and rearranged angucyclinones donghaecyclinones A–C from marine-derived Streptomyces sp. SUD119 in 2019 and 2020, respectively [2,3]. Even though Streptomyces is chemically prolific and still provides numerous new bioactive compounds, the desire for compounds with greater structural diversity has brought about chemical investigations of a wider diversity of bacteria that extend beyond conventional phylogenetically biased chemical studies. The chemical examination of bacteria inhabiting the Arctic Ocean—a more extreme habitat than tropical or subtropical oceans that remains poorly investigated—represents a promising strategy for the discovery of new bioactive molecules.
In our continuing efforts to search for new bioactive microbial compounds from extreme marine environments, we explored the chemistry of bacterial strains from the Arctic Ocean. Our initial chemical profiling of Arctic strains led to the discovery of articoside and C-1027 chromophore-V—two new benzoxazine-bearing compounds that inhibit Candida albicans isocitrate lyase—from Streptomyces sp. ART5 collected from the East Siberian continental margin [4]. In this study, we diversified the phylogeny of bacteria for chemical analysis and focused on non-Streptomyces bacterial strains inhabiting the Arctic Ocean. The Paenibacillus sp. SVB7 strain was isolated from sediment collected at the continental shelf (depth = 322 m) off Wijdefjorden, Svalbard, during a marine-geoscientific cruise to North Spitsbergen in 2017. Cultivation in liquid media and the LC/MS-based chemical examination of the strain Paenibacillus sp. SVB7 identified the production of previously unreported molecules with the molecular ions at m/z 384. Scaling-up of the culture enabled us to purify two new compounds, svalbamides A and B, and subsequently elucidate their structures by spectroscopic analysis, chemical derivatization, and quantum mechanics-based calculation. Here, we report the structural determination of svalbamides A and B (1, 2; Figure 1) along with their biological activity.

2. Results and Discussion

2.1. Phylogenetic Analysis

Sequence comparison using the almost complete 16S rRNA gene sequence of strain SVB7 (1440 bp) in BLASTn and EzBioCloud searches revealed that strain SVB7 belongs to the genus Paenibacillus of the Paenibacillaceae family. According to 16S rRNA gene sequence similarities, strain SVB7 was most closely related to P. maysiensis SX-49T (99.30% similarity), followed by P. terrae AM141T (98.26%), and P. peoriae DSM 8320T (97.42%). In all phylogenetic trees inferred by maximum likelihood, neighbor-joining, and minimum-evolution methods, strain SVB7 was located within the Paenibacillus clade and formed a robust clade with P. maysiensis and P. terrae, providing clear support for its genus being classified as Paenibacillus (Figure 2). Based on the formation of the robust clade with P. maysiensis SX-49T and > 98.7% 16S rRNA gene sequence similarity, it is likely that strain SVB7 is a member of Paenibacillus maysiensis. However, inclusion of strain SVB7 must be confirmed using whole-genome sequencing analysis.

2.2. Structural Elucidation

Svalbamide A (1) was isolated as a white powder. The molecular formula of 1 was assigned as C20H37N3O4, which has an unsaturation number of 4 based on high-resolution electrospray ionization (HR-ESI) mass spectrometry ([M + H]+ at m/z 384.2851, calculated as 384.2857) along with 1H and 13C NMR spectra. The 13C NMR spectra of 1 showed three carbonyl carbon (δC 174.2, 171.0, and 170.8), one oxygenated methine carbon (δC 67.5), and two α-amino methine carbon (δC 57.2 and 49.4) signals. Further analysis of these spectra revealed the existence of eight methylene carbon resonances (δC 43.4–25.2), two more methine carbons (δC 33.7 and 30.7), and four methyl carbons (δC 19.3, 19.1, 18.0, and 11.2) in the aliphatic region. The 1H and HSQC NMR spectra of 1 identified four exchangeable protons (δH 8.10, 7.83, 7.78, and 4.65), one carbinol proton (δH 3.78), two α-amino protons (δH 4.30 and 4.18), two more methine protons (δH 1.96 and 1.28), eight methylene protons (δH 1.05–3.16), and twelve methyl protons (δC 0.88, 0.84, 0.82, and 0.81). Based on the NMR spectroscopic features of the amide carbonyl carbons, α-amino groups, and many aliphatic signals, the structure of svalbamide A (1) was deduced as a peptide bearing an aliphatic chain.
The interpretation of COSY, TOCSY, and HMBC NMR spectra enabled us to determine the partial structures of 1. First, the 2-NH (δH 8.10)/H-2 (δH 4.30) COSY correlation connected 2-NH to the C-2 α-carbon (δC 49.4). The TOCSY and COSY correlations among H-2, H-3a and H-3b (δH 1.82 and 2.26), H2-4 (δH 3.16), and 4-NH (δH 7.78) secured the spin system from 2-NH to 4-NH. The HMBC correlations from 4-NH to C-1 (δC 174.2), C-2 (δC 49.4), C-3 (δC 28.0), and C-4 (δC 38.0), and from 2-NH to C-1 (δC 174.2), led to elucidation of the substructure as a 3-amino-2-pyrrolidinone. The structure of valine was assigned based on the 1H–1H couplings of 6-NH (δH 7.83), H-6 (δH 4.18), H-7 (δH 1.96), H3-8 (δH 0.84), and H3-9 (δH 0.88) in the COSY and TOCSY NMR spectra along with the H-6/C-5 (δC 171.0) HMBC correlation. The remaining part of the molecule was composed of a lipophilic acyl chain. The protons in the substructure from C-11 to C-20 belong to a single spin system as revealed by COSY/TOCSY correlations of the protons. These protons showed correlation peaks with an exchangeable proton at δH 4.65 in the TOCSY spectrum, indicating that the exchangeable proton is also included in the spin system (Figure 3).
The COSY correlation of H-11a and H-11b (δH 2.23 and 2.29)/H-12 (δH 3.78), H-12/H2-13 (δH 1.33), and H-12/12-OH (δH 4.65) showed connectivity from C-11 to C-13, including 12-OH. The HMBC correlations of 12-OH (δH 4.65) to C-11 (δC 43.4), C-12 (δC 67.5), and C-13 (δC 36.7) confirmed the partial structure. C-11 was attached to the C-10 carbonyl carbon as inferred by the H-11a and H-11b/C-10 HMBC correlation. Due to the overlapping aliphatic signals from H2-13 to H-18a and H-18b, HMBC correlations played a pivotal role in identifying the planar structure of this linear section. The HMBC correlations from H-14a and H-14b (δH 1.24 and 1.34) to C-13 (δC 36.7), from H2-15 (δH 1.23) to C-14 (δC 25.2), and from H-16a and H-16b (δH 1.05 and 1.25) to C-15 (δC 26.5) revealed the connectivity from C-13 to C-16. In addition, the COSY 1H–1H couplings of H-17 (δH 1.28)/H3-20 (δH 0.81) and H-18a and H-18b (δH 1.09 and 1.28)/H3-19 (δH 0.82), along with the HMBC signals of H3-20 (δH 0.81) to C-16 (δC 36.0), C-17 (δC 33.7), and C-18 (δC 28.9), were finally assigned to 3-hydroxy-8-methyldecanoic acid (Figure 3). Consequently, the four unsaturation equivalents were fully explained by one pyrrolidinone ring containing one carbonyl group and two more carbonyl functional groups. Thus, svalbamide A (1) must not possess an additional ring and comprises a combination of the three substructures as a linear molecule.
Once the partial structures of 3-amino-2-pyrrolidinone, valine, and 3-hydroxy-8-methyldecanoic acid were identified, they were assembled according to the HMBC correlations: 2-NH (δH 8.10) of pyrrolidinone was correlated with the amide carbonyl carbon C-5 (δC 171.0) belonging to the valine residue, connecting 3-amino-2-pyrrolidinone to valine. The HMBC correlation from 6-NH (δH 7.83) of valine to the carbonyl carbon C-10 (δC 170.8) of 3-hydroxy-8-methyldecanoic acid established the sequence from valine to 3-hydroxy-8-methyldecanoic acid. Therefore, the planar structure of svalbamide A (1) was finally elucidated as a previously unreported lipodipeptide (Figure 3).
Svalbamide B (2) was isolated as a white powder, and its molecular formula was determined to be C20H37N3O4, which contains four double bond equivalents, using high-resolution electrospray ionization (HR-ESI) mass spectrometry ([M + H]+ at m/z 384.2845, calculated as 384.2857). This molecular formula was identical to that of svalbamide A (1). The 1H and 13C NMR data of 2 in DMSO-d6 were extremely similar to those of 1 (Table 1), but distinct differences in chemical shifts were found mainly in the 3-amino-2-pyrrolidinone unit. Specifically, H-2 in 1 (δH 4.30) was shifted upfield in 2 (δH 4.27), while signals for H-3a and H-3b in 1, at δH 1.82 and 2.26, were detected at δH 1.76 and 2.29 in 2. C-3 (δC 28.0) also shifted slightly to the deshielded region by 0.3 ppm in svalbamide B (2). Comprehensive analysis of 1D and 2D NMR data indicated the planar structure of 2 to be the same as 1 (Figure 3). Based on the observation that the distinct chemical shift differences were found in 3-amino-2-pyrrolidone unit, the structure of svalbamide B (2) was expected to have stereochemical modification in this residue.
The absolute configurations at the α-carbons of the two amino acid units were determined by applying the advanced Marfey’s method for derivatization with the l- and d- forms of 1-fluoro-2,4-dinitrophenyl-5-alanine amide (FDAA). LC/MS analysis of the FDAA derivatives of hydrolysates of 1 and 2 (Table S1) showed that they commonly possess d-valine. Because 3-amino-2-pyrrolidinone is converted into 2,4-diaminobutanoic acid during acid hydrolysis, an authentic sample of 2S,4-diaminobutanoic acid was derivatized with l- and d-FDAA to allow comparison. By comparing the retention times of the FDAA adducts of authentic 2S,4-diaminobutanoic acid, svalbamide A (1) was revealed to bear 3R-3-amino-2-pyrrolidinone, whereas svalbamide B (2) incorporates 3S-3-amino-2-pyrrolidinone (Figure 1).
The 3-hydroxy-8-methyldecanoic acid moiety contained stereogenic centers at C-12 and C-17. Initially, the modified Mosher’s method was applied for the oxygen-bearing chiral center at C-12. However, multiple esterifying attempts at the hydroxy group by S- and R-MTPA-Cl were not successful. Therefore, DP4 calculation was used to determine the absolute configurations. Four possible diastereomers of 3-hydroxy-8-methyldecanoic acid of svalbamide A (1), namely 1a (12R and 17R), 1b (12S and 17R), 1c (12R and 17S), and 1d (12S and 17S), were constructed with the established 2R and 6R configurations (Figure 4). Following this, the 1H and 13C chemical shifts of 158 conformers were calculated and averaged with their Boltzmann populations. Our DP4 calculations, based on statistical comparisons of the calculated and experimental chemical shifts, indicated that the diastereomer 1d (12S and 17S) was suitable for svalbamide A (1) with 96.0% probability (Figure 4). The absolute configuration of svalbamide B (2) was subsequently proposed as 2S, 6R, 12S, and 17S.

2.3. Biological Evaluation

The biological activities of svalbamides A (1) and B (2) were evaluated in several ways. First, we measured cytotoxicity against various cancer cell lines [5], including HCT116 (human colorectal cancer cells), MDA-MB-231 (human breast cancer cells), A549 (human lung cancer cells), SK-HEP-1 (human liver cancer cells), and SNU-638 (human gastric cancer cells), but 1 and 2 showed no significant cytotoxicity against the tested cell lines even at 50 μM. Therefore, we evaluated the detoxification ability by measuring quinone reductase (QR) activity. QR is a major phase II detoxification enzyme, and the induction of QR activity is considered as a strategy to increase the chemoprevention effect. Svalbamide A (1) enhanced QR activity by 1.45-, 1.98-, and 2.54-fold at 10, 20, and 40 μM, respectively, in a concentration-dependent manner. In addition, svalbamide B (2) effectively induced QR activity by 1.93-, 2.64-, and 2.98-fold at 10, 20, and 40 μM, respectively (Figure 5). At a concentration of 40 μM, it exhibited a comparable level of QR activity induction in the positive control of 1 μM β-naphthoflavone (β-NF). These results suggest that 1 and 2 are potential chemotypes with chemopreventive activity.

3. Materials and Methods

3.1. General Experimental Procedures

Optical rotations were measured using a JASCO P-2000 polarimeter (sodium light source, JASCO, Easton, PA, USA) with a 1 cm cell. IR spectra were obtained using a Thermo NICOLET iS10 spectrometer (Thermo, Madison, CT, USA). 1H, 13C, and 2D NMR spectra were recorded on a Bruker Avance 800 MHz spectrometer (Bruker, Billerica, MA, USA) at the Research Institute of Pharmaceutical Sciences, Seoul National University. ESI low-resolution LC/MS data were recorded using an Agilent Technologies 6130 Quadrupole mass spectrometer (Agilent Technologies, Santa Clara, CA, USA) coupled with an Agilent Technologies 1200 series high-performance liquid chromatography (HPLC) instrument using a reversed-phase C18(2) column (Phenomenex Luna, 100 × 4.6 mm). HR-ESI mass spectra were acquired on a high-resolution LC/MS–MS spectrometer (Q-TOF 5600) at the National Instrumentation Center for Environmental Management (NICEM) in the College of Agriculture and Life Sciences at Seoul National University.

3.2. Isolation, Cultivation, Phylogenetic Analysis, and Extraction of Bacteria

During the Korea–Norway Joint marine-geoscientific cruise with RV Helmer Hanssen to North Spitsbergen in 2017, a sediment core (HH17-1085) was taken at a water depth of 322 m with a giant box corer from the continental shelf off Wijdefjorden (80°16.469’ N, 016°12.625’ E) in Svalbard (Figure 6). Surface sediment corresponding to 1 cm depth was collected from core HH17-1085. A portion of the sample (2 g) was diluted in 20 mL sterilized water and vortexed. The mixture was spread on YEME isolation solid medium (500 mL of sterilized water, 9 g agar, 100 mg cycloheximide, 2 g yeast, 5 g malt, and 2 g glucose) for two weeks. Strain SVB7 was isolated in YEME medium after one week of incubation for further study.
The 16S rRNA gene sequence of strain SVB7 was obtained by Sanger sequencing using PCR products amplified with the universal primers 27F and 1492R. The resultant 16S rRNA gene sequence (1440 bp) was queried in a BLASTn search implemented at GenBank and was also identified by the “16S-based ID service” in the EzbioCloud database [6]. For phylogenetic analysis, sequences of strain SVB7 and its close relatives retrieved from the EzBioCloud database were aligned with the SINA online aligner [7]. Using the aligned sequences, phylogenetic trees were inferred by maximum likelihood, neighbor-joining, and minimum-evolution algorithms implemented in MEGA software version 7.0 [8].
The SVB7 strain was cultured in 50 mL modified K medium (4 g yeast extract, 5 g malt extract, 5 g soytone, 5 g soluble starch, 5 g mannitol, 2 g glucose, and 6 g glycerol in 1 L deionized water) in a 125 mL Erlenmeyer flask. After cultivation for 2 days on a rotary shaker at 200 rpm and 30 °C, 5 mL of the culture medium was inoculated in 200 mL of modified K medium in a 500 mL Erlenmeyer flask. After cultivation for 2 days under the same incubation conditions, 10 mL of the culture medium was inoculated in 1 L of modified K medium in 2.8 L Fernbach flasks (200 ea × 1 L) at 170 rpm and 30 °C for 6 days. The whole culture of SVB7 was extracted with 300 L of EtOAc. The EtOAc and water layers were separated, and the remaining water in the EtOAc layer was removed by adding anhydrous sodium sulfate. The extract was concentrated using a rotary evaporator, yielding 50 g of dry material.

3.3. Isolation of Svalbamides A and B

The crude extract was divided into ten equal parts and fractioned over a C18 reversed-phase open column (ϕ 6.5 × 10 cm) with 500 mL of 20%, 40%, 60%, 80%, and 100% MeOH–H2O. The 80% MeOH fraction was subjected to a reversed-phase HPLC (Kromasil C18, 5 μm, 250 × 10 mm, flow rate = 2 mL/min) using a gradient solvent system from 35% to 75% CH3CN–H2O over 40 min with 210 nm UV detection. Svalbamides A and B were collected as one broad peak at 25 min. The recorded 1H NMR spectra of the peak indicated a diastereomeric mixture, prompting further purification on a chiral HPLC column (CHIRALPAK IB, 5 μm, 250 × 4.6 mm, flow rate = 0.6 mL/min) using a step gradient 45% CH3CN isocratic solvent system over 10 min, followed by a 60% CH3CN–H2O isocratic solvent system from 10 to 50 min. Svalbamides A (10.0 mg) and B (7.8 mg) were isolated at 30 and 31.5 min, respectively.
Svalbamide A (1): white powder; [α] 20 D +19.5 (c 0.1, MeOH); IR (neat) νmax 3289, 2926,1632 cm−1; 1H and 13C NMR (800 MHz, DMSO-d6) (Table 1); HR-ESI–MS m/z: [M + H]+ Calcd for C20H38N3O4, 384.2857, found 384.2851.
Svalbamide B (2): white powder; [α] 20 D +25.2 (c 0.1, MeOH); IR (neat) νmax 3276, 2928, 1612 cm−1; 1H and 13C NMR (800 MHz, DMSO-d6) (Table 1); HR-ESI–MS m/z: [M + H]+ Calcd for C20H38N3O4, 384.2857, found 384.2845.

3.4. Conformational Search and DP4 Analysis

A conformational search was carried out using a mixed sampling method of torsional/low-mode using MacroModel (version 9.9, Schrödinger LLC) in the Maestro suite (version 9.9, Schrödinger LLC). A total of 158 conformers of the diastereomers were identified with relative potential energies below 10 kJ/mol using the MMFF force field. The shielding tensor values of the optimized conformers were calculated based on the equation below, where δ c a l c x is the calculated NMR chemical shift for nucleus x, and σo is the shielding tensor for the proton and carbon nuclei calculated at the B3LYP/6-31++ level. These values were averaged via the Boltzmann population with the associated Gibbs free energy and utilized for the DP4 analysis, which was facilitated using an Excel spreadsheet provided by the authors of [9] and as described in their publication.
δ c a l c x = σ ° σ x 1 σ ° / 10 6

3.5. Quinone Reductase Assay

Hepa1c1c7 murine hepatoma cells (American Type Culture Collection, Manassas, VA, USA) were used to investigate QR induction activity. The test cells were seeded (3 × 10⁴ cells/mL) and incubated at 37 °C for 24 h with 5% CO2 containing humidified atmosphere. The plates were then exposed to svalbamides A and B (1, 2), including a positive control compound, β-naphthoflavone (β-NF). After 24 h, the media were decanted from the wells, and the cells in each well were lysed by incubation at 37 °C with 250 μL of a mixed solution consisting of 10 mM Tris-HCl pH 8.0, 140 mM NaCl, 15 mM MgCl2, and 0.5% NP-40 (IGEPAL CA-630, Sigma, St. Louis, MO, USA) for 10 min. A 1 mL aliquot of the complete reaction mixture (12.5 mM Tris-HCl pH 7.4, 0.67 mg/mL bovine serum albumin (BSA), 0.01% Tween-20, 50 μM flavin adenine dinucleotide (FAD), 1 mM glucose-6-phosphate, 2 U/mL glucose-6-phosphate dehydrogenase, 30 μM NADP, 50 μg/mL 3-(4,5-dimethylthiazo-2-yl)-2,5-diphenyltetrazolium bromide (MTT), and 50 μM menadione) was added to each of the wells, and the plates were incubated at 25 °C for the colorimetric reaction. The rate of NADPH-dependent menadiol-mediated reduction of MTT in this reaction was measured at 610 nm, and cytotoxicity was determined by crystal violet staining of an identical set of the test plates. The quinone reductase activity was calculated from the following equation: absorbance change for MTT per min/absorbance of crystal violet × 3345 nmol/mg. The value of 3345 nmol/mg represents the ratio of the extinction coefficient of MTT and the proportionality constant of crystal violet. The relative QR activity was normalized using controls [10].

4. Conclusions

Our chemical study of the Arctic sediment-derived Paenibacillus sp. SVB7 led to the discovery and structural elucidation of two new pyrrolidinone-bearing lipodipeptides, svalbamides A (1) and B (2), in which QR activity could be induced. Based on spectroscopic analysis, advanced Marfey’s analysis, and DP4 calculation, these two compounds were identified to have a diastereomeric relationship with alternative absolute configurations at the 3-amino-2-pyrrolidione unit. Svalbamides A and B are structurally unique as they contain 3-amino-2- pyrrolidinone amino acid. This amino acid unit was rarely reported in natural products, with the only example being of actinoramide E, an antimalarial peptide from a marine-derived Streptomyces strain [11]. 3-Hydroxy-8-methyldecanoic acid is another interesting component. This saturated fatty acid was occasionally found in natural products from Paenibacillus and related bacteria. For example, tridecaptins A–C were first isolated from Bacillus polymyxa in 1978 and were studied in various fields, with reports of new derivatives and biosynthesis undertaken to date [12]. A series of new tridecaptin compounds containing 3-hydroxy-8-methyldecanoic acid were discovered in a Paenibacillus strain collected in the deep oligotrophic Krubera-Voronja cave. However, the absolute configuration of this fatty acid was not determined [13,14,15]. Octapeptin and cerexin from the Bacillus sp. bear the same fatty acid, but no experiments have yet been conducted to reveal the absolute stereochemistry [16,17]. Therefore, svalbamides A and B are the first metabolites for which the stereochemistry of 3-hydroxy-8-methyldecanoic acid was addressed. Discovering these new bioactive secondary metabolites from Paenibacillus from the polar region indicates that chemical studies of underinvestigated bacterial taxa in marine extreme habitats, such as the Arctic Ocean, could lead to the discovery of significant natural chemical diversity with pharmaceutical potential in terms of drug discovery.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/md19040229/s1, Figure S1. 1H NMR spectrum (800 MHz) of svalbamide A (1) in DMSO-d6., Table S1: LC/MS analysis of d- and l-FDAA derivatives of the amino acid-derived units in svalbamide A (1), svalbamide B (2), l-2,4-diamino butanoic acid (3), d-valine (4) and l-valine (5) authentic samples. Retention times (min) are notified., Figure S2. 13C NMR spectrum (200 MHz) of svalbamide A (1) in DMSO-d6, Figure S3. COSY NMR spectrum (800 MHz) of svalbamide A (1) in DMSO-d6, Figure S4. HSQC NMR spectrum (800 MHz) of svalbamide A (1) in DMSO-d6, Figure S5. HMBC NMR spectrum (800 MHz) of svalbamide A (1) in DMSO-d6, Figure S6. TOCSY NMR spectrum (800 MHz) of svalbamide A (1) in DMSO-d6, Figure S7. 1H NMR spectrum (800 MHz) of svalbamide B (2) in DMSO-d6, Figure S8. 13C NMR spectrum (200 MHz) of svalbamide B (2) in DMSO-d6, Figure S9. COSY NMR spectrum (800 MHz) of svalbamide B (2) in DMSO-d6, Figure S10. HSQC NMR spectrum (800 MHz) of svalbamide B (2) in DMSO-d6, Figure S11. HMBC NMR spectrum (800 MHz) of svalbamide B (2) in DMSO-d6, Figure S12. TOCSY NMR spectrum (800 MHz) of svalbamide B (2) in DMSO-d6, Figure S13. The simulated models of four possible diastereomers (ad) of svalbamide A (1) and the result of DP4 calculation, Table S1. LC/MS analysis of d- and l-FDAA derivatives of the amino acid-derived units in svalbamide A (1), svalbamide B (2) and l-2,4-diamino butanoic acid authentic sample (3), d-valine (4) and l-valine (5). Retention times (min) are notified, Table S2. The major conformers of diastereomers (ad) of svalbamide A (1), identified by conformational searches in MMFF94 force field using MacroModel, Table S3. Experimental (Exp.) and calculated (Cal.) chemical shift values (CS, δ) of diastereomers (ad) of 1 and svalbamide A (1).

Author Contributions

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

Funding

This work was supported by the Collaborative Genome Program of the Korea Institute of Marine Science and Technology Promotion (KIMST) funded by the Ministry of Oceans and Fisheries (MOF) (No. 20180430) and the National Research Foundation of Korea (NRF) grants funded by the Ministry of Science and ICT (MSIT) (2021R1A4A2001251) and partly by the Basic Core Technology Development Program for the Oceans and the Polar Regions (NRF-2015M1A5A1037243).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

All data is contained within this article and Supplementary Materials.

Acknowledgments

The captains and crews of R/V Helmer Hanssen, Matthias Forwick (UiT, Norway), and the cruise participants all supported the core sampling during the cruise in 2017.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Carroll, A.R.; Copp, B.R.; Davis, R.A.; Keyzers, R.A.; Prinsep, M.R. Marine natural products. Nat. Prod. Rep. 2021, 38, 362–413. [Google Scholar] [CrossRef] [PubMed]
  2. Bae, M.; An, J.S.; Bae, E.S.; Oh, J.; Park, S.H.; Lim, Y.; Ban, Y.H.; Kwon, Y.; Cho, J.-C.; Yoon, Y.J.; et al. Donghaesulfins A and B, dimeric benz[a]anthracene thioethers from volcanic island derived Streptomyces sp. Org. Lett. 2019, 21, 3635–3639. [Google Scholar] [CrossRef] [PubMed]
  3. Bae, M.; An, J.S.; Hong, S.-H.; Bae, E.S.; Chung, B.; Kwon, Y.; Hong, S.; Oh, K.-B.; Shin, J.; Lee, S.K.; et al. Donghaecyclinones A–C: New cytotoxic rearranged angucyclinones from a volcanic island-derived marine Streptomyces sp. Mar. Drugs 2020, 18, 121. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Moon, K.; Ahn, C.-H.; Shin, Y.; Won, T.H.; Ko, K.; Lee, S.K.; Oh, K.-B.; Shin, J.; Nam, S.-I.; Oh, D.-C. New benzoxazine secondary metabolites from an arctic actinomycete. Mar. Drugs 2014, 12, 2526–2538. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Kim, W.K.; Bach, D.-H.; Ryu, H.W.; Oh, J.; Park, H.J.; Hong, J.-Y.; Song, H.-H.; Eum, S.; Bach, T.T.; Lee, S.K. Cytotoxic activities of Telectadium dongnaiense and its constituents by inhibition of the Wnt/β-catenin signaling pathway. Phytomedicine 2017, 34, 136–142. [Google Scholar] [CrossRef] [PubMed]
  6. Yoon, S.-H.; Ha, S.-M.; Kwon, S.; Lim, J.; Kim, Y.; Seo, H.; Chun, J. Introducing EzBioCloud: A taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int. J. Syst. Evol. Microbiol. 2017, 67, 1613–1617. [Google Scholar] [CrossRef] [PubMed]
  7. Pruesse, E.; Peplies, J.; Glöckner, F.O. SINA: Accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics 2012, 28, 1823–1829. [Google Scholar] [CrossRef] [PubMed]
  8. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. An, J.S.; Lee, J.Y.; Kim, E.; Ahn, H.; Jang, Y.-J.; Shin, B.; Hwang, S.; Shin, J.; Yoon, Y.J.; Lee, S.K.; et al. Formicolides A and B, antioxidative and antiangiogenic 20-membered macrolides from a wood ant gut bacterium. J. Nat. Prod. 2020, 83, 2776–2784. [Google Scholar] [CrossRef] [PubMed]
  10. Cuendet, M.; Oteham, C.P.; Moon, R.C.; Pezzuto, J.M. Quinone reductase induction as a biomarker for cancer chemoprevention. J. Nat. Prod. 2006, 69, 460–463. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Cheng, K.C.-C.; Cao, S.; Raveh, A.; MacArthur, R.; Dranchak, P.; Chlipala, G.; Okoneski, M.T.; Guha, R.; Eastman, R.T.; Yuan, J.; et al. Actinoramide A identified as a potent antimalarial from titration-based screening of marine natural product extracts. J. Nat. Prod. 2015, 78, 2411–2422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Shoji, J.I.; Hinoo, H.; Sakazaki, R.; Kato, T.; Wakisaka, Y.; Mayama, M.; Matsuura, S.; Miwa, H. Isolation of tridecaptins A, B and C studies on antibiotics from the genus Bacillus. XXIII. J. Antibiot. 1978, 31, 646–651. [Google Scholar] [CrossRef] [PubMed]
  13. Lebedeva, J.; Jukneviciute, G.; Čepaitė, R.; Vickackaite, V.; Pranckutė, R.; Kuisiene, N. Genome mining and characterization of biosynthetic gene clusters in two cave strains of Paenibacillus sp. Front. Microbiol. 2021, 11, 3433. [Google Scholar] [CrossRef] [PubMed]
  14. Bann, S.J.; Ballantine, R.D.; Cochrane, S.A. The tridecaptins: Non-ribosomal peptides that selectively target Gram-negative bacteria. RSC Med. Chem. 2021. [Google Scholar] [CrossRef]
  15. Cochrane, S.A.; Lohans, C.T.; van Belkum, M.J.; Bels, M.A.; Vederas, J.C. Studies on tridecaptin B1, a lipopeptide with activity against multidrug resistant gram-negative bacteria. Org. Biomol. Chem. 2015, 13, 6073–6081. [Google Scholar] [CrossRef] [PubMed]
  16. Kato, T.; Shoji, J.I. The structure of octapeptin D studies on antibiotics from the genus Bacillus. XXVIII. J. Antibiot. 1980, 33, 186–191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Shoji, J.I.; Kato, T.; Terabe, S.; Konaka, R. Resolution of peptide antibiotics, cerexins and tridecaptins, by high performance liquid chromatography studies on antibiotics from the genus Bacillus. XXVI. J. Antibiot. 1979, 32, 313–319. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. The structures of svalbamides A (1) and B (2).
Figure 1. The structures of svalbamides A (1) and B (2).
Marinedrugs 19 00229 g001
Figure 2. Maximum likelihood phylogenetic tree showing the position of Paenibacillus sp. SVB7. Bootstrap values (expressed as percentages of 1000 replications) over 70% are shown to the left of the node, and represent maximum likelihood, neighbor-joining, and minimum evolution (reading from left to right). Filled and open circles at each node indicate nodes recovered by all three treeing methods or by two treeing methods, respectively. Two 16S rRNA gene sequences of the genus Brevibacillus were used as outgroups. Bar, 0.02 substitutions per nucleotide position.
Figure 2. Maximum likelihood phylogenetic tree showing the position of Paenibacillus sp. SVB7. Bootstrap values (expressed as percentages of 1000 replications) over 70% are shown to the left of the node, and represent maximum likelihood, neighbor-joining, and minimum evolution (reading from left to right). Filled and open circles at each node indicate nodes recovered by all three treeing methods or by two treeing methods, respectively. Two 16S rRNA gene sequences of the genus Brevibacillus were used as outgroups. Bar, 0.02 substitutions per nucleotide position.
Marinedrugs 19 00229 g002
Figure 3. Key HMBC and COSY correlations of svalbamides A (1) and B (2).
Figure 3. Key HMBC and COSY correlations of svalbamides A (1) and B (2).
Marinedrugs 19 00229 g003
Figure 4. The simulated models of the four possible diastereomers (ad) of svalbamide A (1) and the results of DP4 calculations.
Figure 4. The simulated models of the four possible diastereomers (ad) of svalbamide A (1) and the results of DP4 calculations.
Marinedrugs 19 00229 g004
Figure 5. Induction of quinone reductase activity by svalbamide A (1) and B (2). Svalbamide A (1) and B (2) showed QR induction activity, with 2.54- and 2.98-fold increases, respectively, at 40 μM. All data represent the mean ± SD (n = 3). *** p < 0.001 compared to the control.
Figure 5. Induction of quinone reductase activity by svalbamide A (1) and B (2). Svalbamide A (1) and B (2) showed QR induction activity, with 2.54- and 2.98-fold increases, respectively, at 40 μM. All data represent the mean ± SD (n = 3). *** p < 0.001 compared to the control.
Marinedrugs 19 00229 g005
Figure 6. Map of the Svalbard archipelago with the core site and the main currents influencing Svalbard highlighted. The red and blue arrows indicate the West Spitsbergen Current (WSC) and East Spitsbergen Current (ESC), respectively, and the yellow rectangle indicates the coring site (HH17-1085-GC). The shaded white color represents the present glacier-covered areas on the archipelago.
Figure 6. Map of the Svalbard archipelago with the core site and the main currents influencing Svalbard highlighted. The red and blue arrows indicate the West Spitsbergen Current (WSC) and East Spitsbergen Current (ESC), respectively, and the yellow rectangle indicates the coring site (HH17-1085-GC). The shaded white color represents the present glacier-covered areas on the archipelago.
Marinedrugs 19 00229 g006
Table 1. 1H and 13C NMR data for svalbamides A (1) and B (2) in DMSO-d6.
Table 1. 1H and 13C NMR data for svalbamides A (1) and B (2) in DMSO-d6.
Svalbamide A (1) aSvalbamide B (2) a
PositionδC, TypeδH, Mult
(J in Hz)
δC, TypeδH, Mult
(J in Hz)
3-amino-2-pyrrolidinone1174.2, C 174.2, C
249.4, CH4.30, m49.5, CH4.27, m
3a28.0, CH21.82, m28.3, CH21.76, m
3b2.26, m2.29, m
438.0, CH23.16, m38.0, CH23.16, m
4-NH 7.78, br s 7.81, br s
2-NH 8.10, d (8.5) 8.21, d (8.5)
d-Val5171.0, C 171.0, C
657.2, CH4.18, dd
(9.0, 6.5)
57.2, CH4.20, dd
(9.0, 6.5)
730.7, CH1.96, m30.6, CH1.94, m
818.0, CH30.84, d (7.0)18.0, CH30.83, d (7.0)
919.3, CH30.88, d (7.0)19.1, CH30.84, d (7.0)
6-NH 7.83, d (9.0) 7.85, d (9.0)
3-hydroxy-8-methyldecanoic acid10170.8, C 170.8, C
11a43.4, CH22.23, dd
(14.0, 7.0)
43.4, CH22.25, dd
(14.0, 7.0)
11b 2.29, dd
(14.0, 5.0)
2.28 dd
(14.0, 5.0)
1267.5, CH3.78, m67.6, CH3.78, m
1336.7, CH21.33, m b36.7, CH21.33, m b
14a25.2, CH21.24, m b25.2, CH21.24, m b
14b1.34, m b1.34, m b
1526.5, CH21.23, m b26.5, CH21.23, m b
16a36.0, CH21.05, m36.0, CH21.05, m
16b1.25, m b1.25, m b
1733.7, CH1.28, m b33.7, CH1.28, m b
18a28.9, CH21.09, m28.9, CH21.09, m
18b1.28, m b1.28, m b
1911.2, CH30.82, t (7.0)11.2, CH30.83, t (7.0)
2019.1, CH30.81, d (6.5)19.1, CH30.81, d (6.5)
12-OH 4.65, d (5.0) 4.67, d (5.0)
a 1H and 13C NMR data were recorded at 800 and 200 MHz, respectively. b Overlapping signals.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Du, Y.E.; Bae, E.S.; Lim, Y.; Cho, J.-C.; Nam, S.-J.; Shin, J.; Lee, S.K.; Nam, S.-I.; Oh, D.-C. Svalbamides A and B, Pyrrolidinone-Bearing Lipodipeptides from Arctic Paenibacillus sp. Mar. Drugs 2021, 19, 229. https://doi.org/10.3390/md19040229

AMA Style

Du YE, Bae ES, Lim Y, Cho J-C, Nam S-J, Shin J, Lee SK, Nam S-I, Oh D-C. Svalbamides A and B, Pyrrolidinone-Bearing Lipodipeptides from Arctic Paenibacillus sp. Marine Drugs. 2021; 19(4):229. https://doi.org/10.3390/md19040229

Chicago/Turabian Style

Du, Young Eun, Eun Seo Bae, Yeonjung Lim, Jang-Cheon Cho, Sang-Jip Nam, Jongheon Shin, Sang Kook Lee, Seung-Il Nam, and Dong-Chan Oh. 2021. "Svalbamides A and B, Pyrrolidinone-Bearing Lipodipeptides from Arctic Paenibacillus sp." Marine Drugs 19, no. 4: 229. https://doi.org/10.3390/md19040229

APA Style

Du, Y. E., Bae, E. S., Lim, Y., Cho, J. -C., Nam, S. -J., Shin, J., Lee, S. K., Nam, S. -I., & Oh, D. -C. (2021). Svalbamides A and B, Pyrrolidinone-Bearing Lipodipeptides from Arctic Paenibacillus sp. Marine Drugs, 19(4), 229. https://doi.org/10.3390/md19040229

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