Next Article in Journal
Genetic Risk Factors for Neurological Disorders in Children with Adverse Events Following Immunization: A Descriptive Study of a Polish Case Series
Next Article in Special Issue
Target Identification in Anti-Tuberculosis Drug Discovery
Previous Article in Journal
Hydrogel Formulations of Antibacterial Pyrazoles Using a Synthesized Polystyrene-Based Cationic Resin as a Gelling Agent
Previous Article in Special Issue
Synthesis and Structural Optimization of 2,7,9-Trisubstituted purin-8-ones as FLT3-ITD Inhibitors
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Lunaemycins, New Cyclic Hexapeptide Antibiotics from the Cave Moonmilk-Dweller Streptomyces lunaelactis MM109T

by
Loïc Martinet
1,2,
Aymeric Naômé
1,2,
Lucas C. D. Rezende
2,
Déborah Tellatin
1,
Bernard Pignon
1,
Jean-Denis Docquier
1,3,
Filomena Sannio
3,
Dominique Baiwir
4,
Gabriel Mazzucchelli
5,
Michel Frédérich
6 and
Sébastien Rigali
1,2,*
1
InBioS—Centre for Protein Engineering, Institut de Chimie B6a, University of Liège, B-4000 Liege, Belgium
2
Hedera-22, Boulevard du Rectorat 27b, B-4000 Liege, Belgium
3
Dipartimento di Biotecnologie Mediche, University of Siena, Viale Bracci 16, 53100 Siena, Italy
4
GIGA Proteomics Facility, University of Liege, B-4000 Liege, Belgium
5
Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, B-4000 Liege, Belgium
6
Laboratory of Pharmacognosy, Center of Interdisciplinary Research on Medicines (CIRM), University of Liege, B-4000 Liege, Belgium
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(2), 1114; https://doi.org/10.3390/ijms24021114
Submission received: 29 November 2022 / Revised: 1 January 2023 / Accepted: 4 January 2023 / Published: 6 January 2023
(This article belongs to the Special Issue Techniques and Strategies in Drug Design and Discovery)

Abstract

:
Streptomyces lunaelactis strains have been isolated from moonmilk deposits, which are calcium carbonate speleothems used for centuries in traditional medicine for their antimicrobial properties. Genome mining revealed that these strains are a remarkable example of a Streptomyces species with huge heterogeneity regarding their content in biosynthetic gene clusters (BGCs) for specialized metabolite production. BGC 28a is one of the cryptic BGCs that is only carried by a subgroup of S. lunaelactis strains for which in silico analysis predicted the production of nonribosomal peptide antibiotics containing the non-proteogenic amino acid piperazic acid (Piz). Comparative metabolomics of culture extracts of S. lunaelactis strains either holding or not holding BGC 28a combined with MS/MS-guided peptidogenomics and 1H/13C NMR allowed us to identify the cyclic hexapeptide with the amino acid sequence (D-Phe)-(L-HO-Ile)-(D-Piz)-(L-Piz)-(D-Piz)-(L-Piz), called lunaemycin A, as the main compound synthesized by BGC 28a. Molecular networking further identified 18 additional lunaemycins, with 14 of them having their structure elucidated by HRMS/MS. Antimicrobial assays demonstrated a significant bactericidal activity of lunaemycins against Gram-positive bacteria, including multi-drug resistant clinical isolates. Our work demonstrates how an accurate in silico analysis of a cryptic BGC can highly facilitate the identification, the structural elucidation, and the bioactivity of its associated specialized metabolites.

Graphical Abstract

1. Introduction

Streptomyces and other actinomycetes are Gram-positive filamentous bacteria that offered most of the molecules of microbial origin that are now used in human and animal therapy [1,2]. The urge for new structural leads for both the agro-food and pharmaceutical fields has revitalized the interest for bioprospection of microorganisms dwelling in the most diverse and extreme environmental niches [3]. This quest for metabolite-producing bacteria in environments far from the ecological niches where they were mainly/originally isolated (such as rich organic soils for actinomycetes) is motivated by the idea that they would possess genetic features adapted to these specific and unusual environments, allowing them to produce uncommon ‘specialized’ metabolites [4].
Caves, being inorganic and extreme oligotrophic environments, were initially considered as inhospitable places for streptomycetes and other microorganisms programmed for primarily consuming nutrients derived from the plant decomposing organic matter. Instead, this phylum is surprisingly omnipresent, displaying relative abundance and diversity depending on the type of cave and speleothem [5,6,7,8,9,10]. One such geological formation that was previously unexpected to house a huge diversity of actinomycetes is the so-called moonmilk, a soft white carbonate deposit in limestone caves mainly consisting of microfibers of calcite [11,12,13]. Even within the same cave, the diversity of actinomycetes can widely differ from one moonmilk deposit to another [6]. More astonishingly, these bacteria do not only inhabit moonmilk to benefit from the nutrients carried by the water percolating from the surface, but they also actively participate in the creation of the mineral structure itself [12,14,15,16,17,18].
The decision of our laboratory to search for antibiotic-producing bacteria in moonmilk deposits originated from evidence of hundreds of years of mining activities for the use of this speleothem as powder with antimicrobial properties [13,19]. The first scanning electron micrographs of the calcite fibers of moonmilk also revealed filamentous bacteria further supporting the presence of microorganisms notorious as ‘antibiotic-makers’ [14,15,16,18]. Indeed, each actinomycete we isolated from three different moonmilk deposits of the cave ‘la grotte des collemboles’ (Comblain-au-Pont, Belgium) displayed antibacterial and/or antifungal activities [9,10]. A Streptomyces species that we found in all moonmilk deposits of the cave is Streptomyces lunaelactis with isolate MM109T as the archetype strain [9,10,20,21]. S. lunaelactis MM109T is the first fully characterized and completely sequenced Streptomyces strain originating from these speleothems [20,21,22]. Genome mining of the 18 S. lunaelactis strains revealed 42 biosynthetic gene clusters (BGC) with only 18 of them being conserved among all strains, thereby providing a remarkable example of a huge specialized metabolism heterogeneity within a single species [22].
One of our aims in investigating cave microbiology is to identify the genetic and physiological features that make soil-dwelling bacteria to adapt to inorganic mineral environments [15]. Some of these adjustments must be part of their specialized metabolism used to capture essential nutrients and compete with other microorganisms or instead contribute to the survival of the entire microbial community. In our effort to identify the metabolites produced by moonmilk-dwelling actinomycetes, interesting findings came to light, such as the discovery of the BGC responsible for the hallmark green pigmentation of S. lunaelactis strains, which revealed a unique example of a BGC involved in the production of two structurally and functionally different metabolites, namely the bagremycin antibiotics and the iron chelating molecules that generate ferroverdins [22,23,24].
Herein, we report how genome mining guided MS/MS-based networking and peptidogenomics allowed the discovery, the elucidation of the structure, and the biosynthetic pathway of lunaemycins, new, potent antibiotics produced by S. lunaelactis MM109T. Lunaemycins are new, piperazic acid-containing cyclic hexapeptides able to inhibit the growth of all tested Gram-positive bacteria, including various multi-drug resistant isolates, thereby in part explaining the success of this species at colonizing extremely competitive environments.

2. Results and Discussion

2.1. Sequence Analysis of BGC 28a and Predicted Structure of Its Associated Natural Product

Mining the genome of S. lunaelactis MM109T [21] with antiSMASH identified BGC 28a, a ~69 kb non-ribosomal peptide synthetase (NRPS)-type BGC consisting of 39 open reading frames (ORFs) from nucleotide positions 3124 to 72,040 on the linear plasmid pSLUN1a (Figure 1 and Table 1). The hmt gene cluster of Streptomyces himastatinicus producing the antitumor antibiotic himastatins [25,26] is the most similar BGC of the MIBiG database [27] in terms of number of homologous genes (Figure S1 and Table 1). Further sequence analysis highlighted three other known BGCs sharing common features with BGC 28a, namely the ktz gene cluster producing the antifungal kutznerides in Kutzneria sp. 744 [28], the sten gene cluster associated with the production of the antimicrobial stenothricins in Streptomyces roseosporus NRRL 15998 [29], and the art BGC for the antitumor antibiotic aurantimycins produced by Streptomyces aurantiacus JA 4570 [30]. The synteny and conserved gene content of these four BGCs is relatively low with hmt, ktz, art, and sten gene clusters sharing only nine, seven, six, and four homologous genes with the 39 ORFs of BGC 28a, respectively (Figure S1). Himastatins, kutznerides, stenothricins, and aurantimycins are all cyclic depsipeptides synthesized by NRPS or hybrid NRPS-PKS machineries [31,32,33,34], suggesting that the main product of BGC 28a should partially share some structural features and/or amino acid building blocks with these natural products.
Closer sequence analysis of the core and additional biosynthetic genes of BGC 28a allowed us to propose a biosynthetic pathway and predict the amino-acid building blocks and backbone of its main product (Figure 1). First, as observed in the BGCs of kutznerides and himastatins, BGC 28a contains the two genes required for the biosynthesis of the non-proteinogenic amino acid piperazic acid (Piz) from L-ornithine (Orn). The first reaction is performed by the product of lun16 encoding the flavin- and oxygen-dependent L-ornithine N-hydroxylase (SLUN_ RS38485 homologous to HmtM and KtzI, Figure 1, Table 1) to give L-N5-OH-ornithine [35], which will be further converted to L-Piz by the product of lun17 (SLUN_ RS38490 homologous to HmtC and KtzT, Figure 1, Table 1) encoding the heme-dependent piperazate synthase [36]. Interestingly, genes encoding piperazate synthase are present in most BGCs for Piz-containing molecules [37,38], suggesting that at least one NRPS module of BGC 28a is expected to recruit Piz as building block. Next, as observed in the stenothricin gene cluster [29], BGC 28a contains a transcription unit with four ORFs whose products encode the enzymes involved in the five steps of Orn biosynthesis from glutamic acid and glutamine precursors (Figure 1, Table 1). These genes/proteins are lun14 for the bifunctional N2-acetyl-L-ornithine:L-glutamate N-acetyltransferase (SLUN_ RS38475 homologous to StenL, Figure 1, Table 1), lun13 for the N-acetylglutamate kinase (SLUN_RS38470 homologous to StenK and HmtB, Figure 1, Table 1), lun11 for the N-acetyl-gamma-glutamyl-phosphate reductase (SLUN_RS38460 homologous to StenM, Figure 1, Table 1), and lun12 for the N2-acetyl-L-ornithine:2-oxoglutarate aminotransferase (SLUN_RS38465 homologous to StenJ, Figure 1, Table 1). BGC 28a thus contains all genes required for the enzymatic conversion of glutamic acid and glutamine to L-Piz, further supporting the recruitment of this amino acid by the NRPS machinery.
Regarding the core biosynthetic genes, three ORFs encode NRPSs with complete biosynthetic modules. The sequential order of these modules in peptide synthesis (initiation, elongation, and termination modules) is predicted based on the composition of their catalytic domains (Figure 1). The biosynthesis would start with Lun23 (SLUN_ RS38520, providing the initiation module 1 and the ‘inactive’ module 2), followed by Lun20 (SLUN_ RS38505, elongation module 3), and finally Lun22 (SLUN_RS38515, elongation and termination modules 4, 5, 6, and 7) (Figure 1). All together these NRPSs form a megasynthetase organized into seven modules, for which the detailed analysis of the specificity-conferring sequence of each adenylation (A) domains with SANDPUMA [39] allowed the prediction of the building blocks recruited by the NRPS machinery (Figure 1).
Module 1 in Lun23 contains three domains (A-T-E) and is predicted to incorporate L-Phe (DAWTVAAVCK as 10-aa code), which would be converted to D-Phe by the epimerization (E) domain. Module 2 in Lun23 also contains three domains (C-A-T), but prediction software tools did not propose specificity to any amino acid and suggest that this module would be inactive (DVASLAAYAK as 10-aa code). Module 3 in Lun20 contains three domains (C-A-T) and is predicted to recruit L-Ile (DAFFLGVTYK as 10-aa code). The four following modules (4 to 7), all included in Lun22, are predicted to incorporate four Piz residues, two D-Piz via modules 4 (C-A-T-E) and 6 (C-A-T-E) that both contain an epimerization domain, and two L-Piz via module 5 (C-A-T) and module 7 (C-A-T-TE). Indeed, the 10 aa code sequence conferring amino acid substrate specificity for Lun22 (DVFSVAAYAK as 10-aa code for modules 4, 5, 6, and 7) is identical to the one of HmtL-A1 (DVFSVAAYAK), and highly similar to those of KtzH-A1 (DVFSVGPYAK as 10-aa code, 8/10), ArtF-A1 (DVFSVASYAK as 10-aa code, 9/10), and ArtG-A2 (DVFTVAAYAK as 10-aa code, 9/10) which were reported to recognize and activate Piz in previous studies [25,28,30,37,38]. Finally, module 7 would cyclize and release the final hexapeptide via its thioesterase (TE) domain as shown for the biosynthesis of himastatins and kutznerides where the last TE domain of HmtL and KtzH, the homologues of Lun22, perform the macrocyclization of their respective final peptide [25,28].
In conclusion, the NRPS machinery of BGC 28a is predicted to generate an hexapeptide with the sequence D- Phe, L-Ile, D-Piz, L-Piz, D-Piz, L-Piz as backbone of its main product that, with or without cyclization, would have monoisotopic masses of 708.4071 Da (C35H52N10O6) and 726.4177 Da (C35H54N10O7), respectively.

2.2. Structure Elucidation of Lunaemycins

2.2.1. MS/MS-Based Networking and Peptidogenomics Guided Genome Mining

A peptidogenomic approach where genome mining guides the tandem mass spectrometry (MS/MS)-based molecular identification of high-resolution mass spectrometry (HRMS) data was used to identify compounds produced by BGC 28a. The predicted building-blocks can be used to screen the MS/MS fragments in order to find neutral or charged losses of amino-acids. Although BGC 28a is predicted to produce a cyclized hexapeptide of a monoisotopic mass of 708.4071 Da, we cannot exclude at this stage either modifications of one or more building blocks before their utilization by the NRPS machinery and/or post modifications of the generated hexapeptide. Therefore, the MS/MS spectra of molecular ions ranging from m/z 700 to 800 Da have been manually analyzed to identify tag fragments corresponding to the three different amino acids predicted to be incorporated by the six NRPS modules. Finally, prior to performing the comparative metabolomic analysis, genome mining of the eighteen isolated S. lunaelactis strains revealed a genetic characteristic that is crucial for the identification of the products of BGC 28a. Indeed, BGC 28a is present in only three S. lunaelactis strains, i.e., those that possess pSLUN1a, whereas all the other strains with the linear plasmid pSLUN1b instead comprise BGC 28b [22] (Figure 2a). S. lunaelactis strains that possess pSLUN1b are therefore natural variants/mutants non-producing the searched compound(s) of BGC 28a, and their culture extract can be considered as negative control.
The crude extracts from eleven S. lunaelactis strains grown on the ISP7 solid medium were collected and subjected to UPLC-HRMS/MS analysis. As explained above, metabolite profiling was performed to search for molecules with m/z comprised between 700 and 800 Da that were only produced by the two selected S. lunaelactis strains that possess pSLUN1a (MM109T and MM37), and not by the nine other selected strains that instead have pSLUN1b (MM22, MM25, MM28, MM31, MM40, MM78, MM83, MM113, and MM115) (Figure 2b). As shown in the heatmap of Figure 2b, a series of m/z signals displayed contrasting production patterns between the two groups of S. lunaelactis strains. An analysis of the extracted ion chromatograms (EIC) of the full extract of the 11 S. lunaelactis strains revealed a series of peaks only present in strains harboring pSLUN1a (Figure 2c). The most intense signal has an m/z of 725.4092, which is appropriate for the molecular formula of C35H53N10O7+ (0.17 ppm error) (Figure 2d). In the same HRMS spectrum, a second ion with lower signal intensity corresponds to the [M + Na]+ ion at m/z 747.3903, which corresponds to the molecular formula C35H52N10O7Na+. The masses and formula of both proton and sodium adducts reveal that the main compound of BGC 28a has a molecular formula of C35H52N10O7 (monoisotopic mass of 724.4020 Da), which from now on will be referred to as compound 1 (hereafter named lunaemycin A).
Interestingly, the experimentally calculated mass of compound 1 only differs by 16 Da compared to the mass of the in silico predicted cyclized structure of the main product of BGC 28a (Figure 1). From the molecular formula C35H53N10O7 inferred from m/z 725.41, and according to the amino acid building blocks (D-allo-Ile, L-Phe, D-Piz, L-Piz, D-Piz, L-Piz) predicted to be loaded by adenylation domains, compound 1 could correspond to either i) an open peptide with an extra unsaturation from a dehydrogenation step or ii) a cyclic peptide carrying a hydroxyl group added in an oxidation step.
An analysis of the HRMS/MS spectrum of the m/z 725.41 molecular ion revealed sequence tags that allowed us to propose that compound 1 is the cyclized sequence of the hexapeptide Phe-OH-Ile-Piz-Piz-Piz-Piz (Figure 3). Indeed, the daughter ion fragments of m/z 596.33, 449.26, 337.2, 225.13, and 113.07 correspond to consecutive losses of (i) an hydroxy-leucine (H2O neutral loss-derived tag fragment of m/z 129.08), (ii) a phenylalanine (H2O neutral loss-derived tag fragment of m/z 147.07), followed by three consecutive losses of Piz residues (three H2O neutral loss-derived tag fragments of m/z 112.06), and finally, the ion fragment tag of m/z 113.07 corresponding to Piz+H+ (Figure 3b). The fragmentation spectrum thus confirmed the presence of tags associated with all six amino acids predicted to be incorporated by the A domains of the active modules of BGC 28a. The only difference with the initial prediction is the hydroxylation of the Ile residue, which could be attributed to the product of lun21 (SLUN_RS38510, Table 1) encoding a FAD-dependent oxidoreductase, homologous to the oxidoreductase PlyE of Streptomyces sp. MK498-98 F14 involved in the production of polyoxypeptins [40]. Indeed, PlyE is predicted to be responsible for the N-hydroxylation of valine and alanine building blocks on the nitrogen atom between Piz and Val or Ala residues of polyoxypeptin A. A similar role is also proposed for the FAD-dependent monooxygenase CchB that catalyzes the N-hydroxylation of the δ-amino group of ornithine in coelichelin biosynthesis before its recruitment by the NRPS machinery [41]. Similarly, Lun21 would perform the N-hydroxylation of the Ile residue, which would lead to the structure proposed for compound 1 (Figure 3b). Whether this N-hydroxylation of the Ile building block is performed (i) before its recruitment by the A domain of Lun20 (as suggested for coelichelin biosynthesis), (ii) once it is activated and tethered on the thiolation (T) domain of Lun20 (as proposed for polyoxypeptin synthesis) or after the formation and cyclization of the hexapeptide remains speculative at this stage.
To strengthen the reliability of the proposed structure of compound 1, the m/z of the MS/MS data were correlated to the structure of ions produced during the fragmentation mechanism (Figure 4a). The m/z of nine fragment ions can only correlate with the structure of ions containing one to four Piz residues (fragments 1–9 in blue in Figure 4b). Four of these fragment ions—m/z 113.0711, 225.1347, 337.1984, and 449.2608—can be linked to structures containing respectively 1, 2, 3, and 4 Piz residues, expected to result from sequential bx-yz fragmentation steps. Additionally, m/z 309.2034 and 197.1394 result from the neutral loss of CO of the aforementioned ions m/z 337.1984 and 225.1347, respectively. At least seven fragment ions contain phenylalanine’s aromatic side chain thereby confirming the presence of this amino acid in the structure of compound 1 (fragments 10–16 in green in Figure 4c). Fragment ions with m/z 260.1396, 372.2032, 484.2668, and 596.3304 arise from sequential bx-yz fragmentation steps and represent phenylalanine connected to increasing numbers of piperazate residues, whereas the remaining ions (m/z 232.1445, 456.2719, and 568.3356) are associated with a subsequent CO loss step.
It is interesting to note that no hydroxylation can be inferred from the seventeen fragments discussed above, confirming that the hydroxylation in compound 1 must reside in the remaining amino acid, i.e., isoleucine. This is confirmed by the presence of four fragments that contain a hydroxyl-isoleucine residue (m/z 214.1551, 242.1500, 347.1841, and 354.21366, fragments 17–20 in red in Figure 4d), all of which resulted from similar fragmentation steps, as discussed for the other ions (sequential bx-yz fragmentation and CO loss). Finally, the hydroxylation of compound 1 and the hypothesis of a hydroxylated isoleucine in its structure are further confirmed by the presence of four fragment ions seemingly resulting from the neutral loss of H2O (fragments 21–24 in orange in Figure 4e). The fragment ion with m/z 707.3989 is the result of water loss from the [M+H]+ adduct and can generate the ion itself with m/z 679.4040 from CO loss. The two other fragment ions (m/z 196.1447 and 224.1394) would come from the loss of water from the previously mentioned isoleucine-bearing fragments m/z 214.1551 and 242.1500, respectively.

2.2.2. Structure Elucidation by NMR Spectroscopy

Finally, nuclear magnetic resonance (NMR) was performed in order to confirm the predicted and MS/MS-deduced structure of compound 1. Indeed, even though we can confidently propose the presence of a hydroxy-leucine residue in the structure of compound 1, the MS/MS information alone does not allow to specify the position of the hydroxyl group in this residue. The fragment structures proposed in Figure 4d assume a hydroxylation on the amide nitrogen of isoleucine, which can only be confirmed by NMR. Multiple media were tested (OSMAC approach [42] and known elicitors of secondary metabolite production in Streptomyces spp. [43,44,45]) to assess the optimal culture conditions for compound 1 production in order to obtain sufficient material for NMR analysis. An analysis of the metabolite profiles showed that the solid ISP1 medium supplemented with N-acetyl-D-glucosamine 25 mM led to the best production yield of compound 1 (not shown). The dried ethyl-acetate full extract of S. lunaelactis MM109T was processed using the ÄKTA liquid chromatography purification system, followed by semi-preparative HPLC (SP-HPLC) purification, which resulted in 2.15 mg of a pale-yellow-white powder from ~0.5 L of solid culture. UPLC-HRMS/MS revealed that this fraction contained two compounds with similar molecular weights, the most intense molecular ion peak being compound 1 (m/z of 725.4092), and a second molecular ion peak with an m/z of 723.3935 (compound 2). This m/z value suggests that compound 2 is a dehydrogenated derivative of compound 1 that possibly contains a dehydro-Piz moiety, as was described previously for antrimycins [46]. This hypothesis was confirmed by 1H NMR results (see below) and by HRMS/MS analysis (see the following section on the structural diversity of lunaemycins).
The semi-purified powder containing compound 1 and minor amount of compound 2 was submitted to ¹H NMR (700MHz), ¹³C NMR (176 MHz) as well as 2D NMR (COSY, HMBC, and HSQC). 1D- and 2D NMR data were analyzed with MestReNova V.14 and allowed to confirm the chemical structure predicted by the in silico analysis of BGC 28a and deduced from the MS/MS fragmentation pattern. Table 2 shows the structure and NMR assignment proposed for compounds 1 and 2 (Figure 5a,b and Supplementary Figures S2–S6); however, the overlapping signals did not allow a complete structural assignment, as multiplicities and integrations were not unambiguously characterized.
Considering the chemical shifts observed in the 1H and 13C NMR spectra, signature signals typical of cyclopeptides were observed, revealing peptide bonds between amino acid residues with no amino or carboxy interruption of the amino acid sequence. 1H NMR data revealed the presence of the six α hydrogens of the hexapeptide core between δ 4.8 and δ 5.8 that can be attributed to compound 1 (δ 5.82–5.76 for the Ile; δ 5.36–5.28 for the Phe; δ 4.92–4.84, 5.39, 5.45, and 5.75 for the Piz residues), and compound 2 (δ 5.96 for the Ile; δ 5.68 for the Phe; δ 4.92–4.84, 5.01, 5.36–5.28, and 5.67 for the Piz residues). Further confirmation comes from the 13C-NMR signals between δ 170.3 and δ 174.1, attributed to the peptide carbonyl groups (C-6, C-13, C-19, C-25, C-31, C-41), and between δ 46.7 and δ 56.4, attributed to the α carbons (C-2, C-12, C-18, C-24, C-30, C-33).
Based on previously published data [47], a series of multiplets between δ 1.2 and δ 2.3 in the 1H NMR spectra can be attributed the eight β- and γ-methylene groups from the piperazate residues present in the structure of compound 1 (C-10, C-11, C-16, C-17, C-22, C-23, C-28, and C-29). Additionally, a series of 13C NMR signals between δ 18.4 and δ 26.2 can be attributed to those same methylene groups. Similarly, the four δ-methylene groups (C-9, C-15, C-21, and C-27) can be correlated to the 1H NMR signals between δ 2.9 and δ 3.1 and to the 13C NMR signals between δ 46.9 and δ 47.3. Interestingly, a signal at δ 6.91 (d, J = 3.7 Hz, 1H for compound 2) in the 1H NMR spectra, which is correlated on the HSQC to the 13C NMR signal at δ 142.9, can be attributed to a methylene hydrogen of an imine group. This observation supports the hypothesis of a replacement of a piperazate residue by a dehydro-piperazate in compound 2.
The presence of phenylalanine and isoleucine residues in the structure of compounds 1 and 2 is clearly detectable from the results of NMR experiments (Table 2). The six aromatic carbons (C-35 to C-40) of the phenylalanine’s benzene ring were observed at δ 137.7 (quaternary carbon C-35); δ 128.4 (two meta carbons, C-37 and C-39); 129.7, (two ortho carbons, C-36 and C-40); and δ 126.6 (the para carbon C-38). Also, the five aromatic hydrogens corresponding to this benzene ring were observed in 1H NMR spectra between δ 7.1 and δ 7.2. The two hydrogens at meta position (linked to C-37 and C-39) were attributed to the signal at δ 7.24 and could be discerned from the three hydrogens on ortho (linked to C-36 and C-40) and para (linked to C-38), seen at δ 7.2–7.14. As for the non-aromatic carbons in those residues, we were able to attribute 13C signals to the two methylenes (δ 25.2 for C-4 from the Ile and δ 37.7 for C-34 from the Phe), to the tertiary carbon C-3 from the Ile (δ 32.8), and to the two methyls, C-5 and C-7, from the Ile (δ 11.1 and 15.5, respectively). The upfield region of the 1H NMR spectrum shows signals corresponding to the non-aromatic hydrogens of the minor (2) and major (1) compounds of the sample analyzed by NMR. The methylene hydrogen of isoleucine, linked to C-4, can be attributed to δ 1.02–0.94, while the methylene hydrogens of phenylalanine, linked to C-34, were attributed to δ 2.93–2.86 and 2.77–2.67. For the isoleucine, the hydrogen on C-3 was attributed to peaks between δ 2.12–2.03, and the methyl hydrogens linked to C-5 and C-7 were attributed to δ 0.82–0.76 and δ 0.84, respectively.
The observation of the non-substituted s-butyl group of isoleucine indicates that hydroxylation of 1 is not localized at its side chain, suggesting that the hydroxylation should take place at the amide nitrogen. Additionally, 2D NMR COSY and 1H-13C HMBC correlations, shown in Figure 5c and highlighting proton-proton and proton-carbon correlations respectively, further supported this conclusion. Another key observation is the presence of a single HMBC correlation between an alpha NH 1H NMR signal at δ 8.27 (attributed to phenylalanine’s NH) and an alpha carbonyl 13C NMR signal at δ 172.7 (attributed to the neighboring piperazate carbonyl). Those observations allowed us to further confirm the N-hydroxylated structure previously proposed for Lunaemycin A.
In conclusion, combined in silico, HRMS/MS, and NMR analyses demonstrated that the main product of BGC 28a, compound 1, is a cyclic hexapeptide of a mass of 724.4019 Da and the molecular formula C35H52N10O7, corresponding to the cyclized amino acid sequence D-Phe-OH-L-Ile-D-Piz-L-Piz-D-Piz-L-Piz. We have interrogated StreptomeDB 3.0 [48] and The Natural Products Atlas 2.0 [49] databases and found no natural compounds with neither identical molecular formula, monoisotopic mass, nor molecular weight. Interrogation of databases with broader chemical compounds (NIST, Pubchem, and Chemspider) identified ‘SCHEMBL12568990′ (Substance SID: 237623651; Compound CID: 53234730 in the Pubchem database) retrieved from patent US-2011136752-A1 [50], as the closest match of compound 1, sharing the same mass, same molecular formula, and same proposed structure. We decided to call compound 1 lunaemycin A, with the Latin prefix lunae- (L. gen. n. lunae, of the moon) referring to the moonmilk speleothems where S. lunaelactis MM109T was originally isolated and the suffix -mycin, which refers to antibiotic compounds derived from bacteria with fungus-like structure such as Streptomyces. The antibiotic activity of lunaemycins A and lunaemycin-related compounds will be described in Section 2.4.

2.3. Structural Diversity of Lunaemycins

The comparative metabolomic study of metabolites with masses ranging between 700 and 800 Da (Figure 2b) suggested a broad diversity of lunaemycin-derived molecules produced by S. lunaelactis strains containing pSLUN1a. Using the MS/MS data, we explored this diversity via global natural products social molecular networking (GNPS) as performed previously [22]. One constellation comprises 42 nodes associated with compounds only produced by the two selected S. lunaelactis strains that possess BGC 28a (MM37 and MM109T) and includes the ion at m/z 725 corresponding lunaemycin A (Figure 6).
Figure 7 presents the detection of the most abundant compounds identified as lunaemycin derivatives produced by S. lunaelactis MM109T, as well as their HRMS spectra and their deduced molecular formula. Comparison of the MS/MS spectra allowed us to identify the position of the chemical modification(s) for 14 of these molecules compared to lunaemycin A (Figures S7–S20, Table 3), whereas other five lunaemycin derivatives were produced in too weak amounts for proper analysis. Table 3 lists all compounds clustering in the constellations of lunaemycins, their proposed names, retention times, m/z signals, and their molecular formulas.
The HRMS/MS-based identification of the amino acid building-blocks composing the 15 lunaemycins is detailed in supplementary Figures S7–S20. Eight lunaemycins possess at least one dehydrogenated-Piz (dh-Piz, corresponding to the neutral loss of 110.5) instead of a classical Piz. More precisely, if we consider the linear sequence of Lunaemycin A as Hydroxy-Ile-Piz1-Piz2-Piz3-Piz4-Phe, Piz1 is replaced by a dh-Piz in lunaemycin E1 (5a); Piz2 is replaced by a dh-Piz in lunaemycins B1 (2a), C1 (3a), and J1 (10a); Piz3 is replaced by a dh-Piz in lunaemycins B1(2a), C1 (3a), C2 (3b), E1 (5a), and J3 (10c); and finally, Piz4 is replaced by a dh-Piz in lunaemycin C1 (3a). Only lunaemycin F (6) presents the hydroxy-Piz residue (HO-Piz, corresponding to the neutral loss of 128.09) at the position of Piz3. Five lunaemycins present the hydroxydehydro-Piz residue (HO-dh-Piz, corresponding to the neutral loss of 126.05) at the position of Piz4 (lunaemycins D (4), E1 (5a), E2 (5b), G (7), and H (8). Finally, the HO-Ile is replaced by a dihydroxy-Ile (DIHO-Ile, corresponding to the neutral loss of 145.08) in lunaemycins G (7) and H (8), by an hydroxyl-Valine (HO-Val, corresponding to the neutral loss of 115.06) in lunaemycins I (9), J2 (10b), and J3 (10c), and by an Ile (corresponding to the neutral loss of 113.08) in lunaemycin J1 (10a).

2.4. Antibacterial Activity of Lunaemycins

Molecules produced by known BGCs closest to the lun cluster (himastatins, stenothricins, kutznerides, and aurantimycins) possess antimicrobial activities suggesting that lunaemycins could possibly display similar biological activities. Moreover, amongst the genes of the lun BGC, BLAST analyses also suggest that lunaemycins are likely to possess antibacterial and/or anti-proliferative activities. For instance, lun9 and lun10 encode for an efflux pump and its associated TetR-family transcriptional regulator, respectively, and whose homologues in other BGCs play a role in self-resistance of the producing organism. In addition, lun25 and lun26 and their closest homologues in the BGCs of aurantimycins (ArtJ and ArtK) and the polyoxipeptins (PlyJ and PlyK), encode for an ABC transporter system belonging to the DrrA-DrrB family also conferring self-resistance to the producers [51].
Antibacterial activity of lunaemycins A, B1, and D (0.1 mg/mL, ~13.5–14 mM) was first performed via agar-diffusion assays which showed significant direct-acting activity on all tested Gram-positive bacteria except on Enterococcus hirae (though a small zone of growth inhibition is observed at the periphery of the disc suggesting more susceptibility to lunaemycins compared to gentamicin 0.1 mg/mL used as positive control) (Figure 8). In contrast, no growth inhibition was reported on Gram-negative bacteria (Figure 8). Overall, similar antibacterial activities could be observed for lunaemycins A and B1, whereas lunaemycin D showed weaker growth inhibiting activities.
Minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) values were determined with pure lunaemycin A. The potent direct-acting activity observed in agar diffusion assays was confirmed, with MIC values ranging 0.12–0.25 µg/mL on type strains and, more interestingly, also on clinical isolates showing various resistance phenotypes (Table 4). The MBC values were comprised between 0.25 and 8 µg/mL. Interestingly, the MBC values obtained with some antibiotic resistant clinical isolates, especially those showing resistance to methicillin, vancomycin, or linezolid, were overall lower (from 0.25 to 2 µg/mL) than that of other strains, indicating a potent bactericidal activity of luneamycin A for these strains. As largely reported in the literature (e. g., references [52,53]), some of these resistance mechanisms are associated with significant biological or fitness cost, potentially explaining the lower MBC values measured with these strains. Expectedly, no activity could be observed on both susceptible and resistant Gram-negative isolates, as previously observed via the agar-diffusion assays.

3. Materials and Methods

3.1. Bacterial Strains and Culture Conditions

All bacterial strains used in this study are listed in Table 5. The archetype strain Streptomyces lunaelactis MM109T [20,21] and all other S. lunaelactis strains used in this study were isolated from moonmilk deposits of the cave ‘la grotte des collemboles’ (Comblain-au-Pont, Belgium) [9,10]. Streptomyces spores and mycelium stocks were prepared as described in [54]. Cultivation media were prepared as described in [54], and inoculated plates were incubated for a week at 28 °C.

3.2. Bioinformatics and In Silico Analyzes

Mining for BGC in pSLUN1a (NZ_CP026305.1) and identification of closest homologous genes in known BGCs in MiBIG database [27] were performed with antiSMASH [55]. Sequence of linear plasmid pSLUN1b can be accessed from (https://www.ncbi.nlm.nih.gov/search/all/?term=JABSUF010000009, accessed on 17 June 2020). Prediction of amino acid building blocks recruited by adenylation domains was performed with SANDPUMA [39] and NRPSpredictor2 [56]. Visualization of the molecular network (metabolite diversity and relatedness)) was performed via the Global Natural Products Social Molecular Networking website (GNPS, https://gnps.ucsd.edu/, accessed on 17 June 2020) from the tandem mass (MS/MS) spectrometry data obtained from the culture extracts od the different S. lunaelactis strains as previously described [22]. 1D- and 2D NMR data were analyzed with MestreNova V.14 (https://mestrelab.com/download_file/mnova-14-0-0/, accessed on 17 June 2020).

3.3. Compound Identification by Ultra-Performance Liquid Chromatography–Tandem Mass Spectrometry (UPLC–MS/MS)

Solid media inoculated with S. lunaelactis were cut into small pieces and mixed overnight in agitator with an equal volume of ethyl acetate to extract metabolites. After centrifugation at 4000 rpm for 20 min, the supernatant was evaporated to dryness by a rotavapor® (IKA RV10 digital, VWR, Radnor, PA, USA) at 25 °C under 210 rpm and suspended in 2 mL of acetonitrile. Extracts were analyzed by Ultra-Performance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC–HRMS) and by Ultra-Performance Liquid Chromatography–Tandem Mass Spectrometry (UPLC–MS/MS). Lunaemycins were identified according to their exact mass, the isotopic pattern, their MS/MS spectrum of the molecular ion HCD fragmentation, and the UV-VIS absorbance spectra. The detailed protocols for lunaemycins extraction and purification are detailed in Point 3.4. and Appendix A, Appendix B, Appendix C, Appendix D and Appendix E

3.4. Nuclear Magnetic Resonance (NMR)

The production and purification of lunaemycins was performed as follows: the ethyl acetate extract of S. lunaelactis MM109T grown on 25 agar plates of ISP1 + GlcNAc (~500 mL volume) was dried with rotary evaporator (Rotavapor® R-100) which allowed to obtain 126 mg of a pale yellow powder, re-dissolved in 60 mL of an acetonitrile/water (MilliQ filtered) (10:3, v/v) solution, and fractioned on a C18 LC column (Phenomenex) using an ÄKTA™ purification system. Metabolite elution was performed by using a gradient of increasing concentration of acetonitrile (LC method, Appendix A), and each of the 90 fractions were analyzed by HPLC (HPLC method, Appendix B) to detect peaks corresponding to lunaemycins. Fractions containing the compounds of interest (fractions 35, 36, and 37 to 41) were subjected to a second round of purification using semi-preparative HPLC (SP-HPLC method, Appendix C). Fractions 37 to 41 were pooled, and the volume of each fraction was reduced to 2 mL by evaporation (under gas flow), which served for twenty semi-preparative HPLC injections with 100 µL of each fraction. From fraction 35, we generated 21 sub-fractions among which 4 of them contain lunaemycin D (Table 3) as subsequent UPLC-HRMS analysis (UPLC Method Appendix D, and the MS Method, Appendix E) identified the molecular ion species of m/z 739.39 [M+H]+. Fraction 36 generated 19 sub-fractions, among which sub-fractions 3 to 5 contain lunaemycin D (previously identified in fraction 35), and sub-fractions 17 to 19 contain lunaemycin B1, as confirmed by UPLC-HRMS analysis that detected the molecular ion species of m/z 723.40 [M+H]+. Finally, the pooled fractions 37–41 generated 40 sub-fractions (SP-HPLC method, Appendix C), among which sub-fractions 23 to 28 mainly contain lunaemycin A (ion species of m/z 725.41 [M+H]+, see Figure 4a), and lower amounts of lunaemycins B1/B2 (ion species of m/z 723.40 [M+H]+, see Figure 4a). The fractions containing a single chromatographic peak were pooled and evaporated under continuous gas flow and resuspended in 1 mL of water/acetonitrile (1/9, v/v) solution and diluted to reach a concentration of 0.1 mg/mL for subsequent antibacterial assays (see point 4.5 below).
The pure dried extract mainly containing lunaemycins A (compound 1) was dissolved in 250 µL of hexadeuterodimethylsulfoxide (DMSO-d6) containing 1% (v/v) of tetramethylsilane (TMS) as a reference (Sigma-Aldrich, St. Louis, MO, USA) and transferred in a 3 mm NMR tube (103.5 mm long, Bruker). NMR spectra were acquired using a Bruker Avance NEO 700 MHz spectrometer equipped with a cryoprobe and Bruker’s TopSpin 3.5 software package, in order to perform 1H, 13C (APT), COSY, 1H-13C HMBC, and 1H-13C HSQC experiments (standard Bruker parameters), and data were interpretated using the MestreNova V.14 software. Sample temperatures were controlled with the variable-temperature unit of the instrument.

3.5. Antibacterial Assays

Pure lunaemycins A, B1, and D were obtained as described above in point 4.4. Agar-diffusion tests were implemented as described previously [24]. Briefly, few microliters of an overnight culture (10 µL of the bacterial stock spread on the solid LB or BH media) were used to make bacterial suspensions with standardized turbidity (OD600 between 0.08 and 0.1, corresponding to a 0.5 McFarland turbidity standard). A total of 100 µL of the standardized bacterial suspension were then inoculated on solid LB or BH media, and 3 mm thick Whatman® papers discs (Sigma-Aldrich, St. Louis, MO, USA) containing 10 µL (2 × 5 µL) of antibiotics are placed on the freshly inoculated solid medium. After overnight incubation at 37 °C, the antibacterial activity was evaluated by measuring the diameter of growth inhibition. Control conditions were performed using 100 µg/mL gentamicin as a positive control (corresponding to 1 µg of gentamicin placed on the positive control disc), and acetonitrile, DMSO or water as a negative control. Additional antibacterial susceptiblity assays were performed at the High-Throughput Screening and Protein Engineering platform (HiProtEn, Dipartimento di Biotecnologie Mediche—Università di Siena). Minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) values were determined in Mueller-Hinton broth, as recommended by CLSI (document M07-A10, 2015 [57]) and the European Committee on Antimicrobial Susceptibility Testing (EUCAST document “Terminology relating to methods for the determination of susceptibility of bacteria to antimicrobial agents”, 2000 [58]) on reference (type) strains and clinical isolates as indicated (Table 5).

4. Conclusions

Herein, we report the discovery and structural elucidation of lunaemycins: new, cyclic hexapeptide antibiotics only produced by S. lunaelactis species that possess the linear plasmid pSLUN1a. The potent antibacterial activity of lunaemycins against antibiotic resistant Gram-positive bacteria may in part explain how S. lunaelactis strains have found their own place in extremely oligotrophic and competitive environments such as moonmilk deposits. Next to the proposed structure of 15 lunaemycin derivatives, we also propose the biosynthetic pathway for lunaemycin A production, the main compound of the lun BGC of S. lunaelactis MM109T (Figure 9).
Our work provides a good example in which a deep in silico analysis of genes that compose a BGC combined with an exhaustive literature overview of homologous genes allowed us to maximize the accuracy of the predicted structure of a cryptic compound. This in silico approach highly facilitated the comparative mass spectrometry analysis by guiding the examination on a limited series of ions that possessed the appropriate fragmentation tags. Next to core biosynthetic genes, the lun BGC also provides an interesting case where genes required for the synthesis of the building block piperazic acid from ornithine are also present within the BGC itself, and even also the genes that convert the glutamate and glutamine precursors to ornithine. Such a situation was previously observed, notably in the BGC for quinichelin biosynthesis [59], and in many NRPS BGCs that necessitate Piz as building block [37]. This inclusion of genes/enzymes of metabolic pathways of primary metabolism within a BGC is most likely mandatory to provide sufficient building blocks at the proper timing of specialized metabolite production.
Another main take-home message of our work relates to the use of multiple strains of the same species to facilitate the correlation between the genetic material associated with the biosynthesis of natural compounds. The current tendency in strain prioritization is instead to try to exclude from a collection the multiple strains that belong to the same species in order to avoid the identification of the same bioactive molecules [22]. Here, we showed how strain redundancy instead facilitated our work, even avoiding the necessity to generate null mutants to link a BGC to its natural product. This is particularly interesting when a BGC is present on a linear plasmid whose presence in multiple copies complicates gene inactivation (about three copies for pSLUN1a in S. lunaelactis MM109T [21]). Our attempts to delete genes of BGC 28a have been unsuccessful so far. We are currently applying the same strategy to identify and assess the biological activity of the cryptic products of BGC 28b found in the linear plasmid pSLUN1b only present in the second subgroup of S. lunaelactis strains [22].

Supplementary Materials

The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24021114/s1.

Author Contributions

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

Funding

This research was funded by Fonds National de la Recherche Scientifique (FNRS) S.R. wants to acknowledge grants FRIA1.E049.16 (FRIA grant to L.M. and S.R.), and FNRS grant CDR/OL J.0158.21 (Crédit de recherche, FNRS). D.B is funded by FEDER and Wallonia (BIOMED HUB Technology Support project). S.R. is a Senior Research Associate at the Belgian Fund for Scientific Research (F.R.S.-FNRS, Brussels, Belgium). J.-D.D. acknowledges the partial support by MIUR “Progetto Dipartimenti di Eccellenza 2018–2022”, grant n. L. 232/2016 (HiProtEn).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The Molecular Networking job in GNPS can be found at https://gnps.ucsd.edu/ProteoSAFe/status.jsp?task=84ea45db68814c94a3b2bad9c26dd807, accessed on 14 October 2019.

Acknowledgments

We are grateful to D. Adam, B. Deflandre, M. Maciejewska, E. Tenconi, S. Anderssen, and N. Stulanovic at the Streptomyces Genetics and Development group, and everyone at HEDERA-22 for fruitful discussions and technical support.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Appendix A. LC Method

After equilibration of the stationary phase in 100 mL of a 30% acetonitrile solution, the full extract (diluted in 60 mL of a 30% acetonitrile solution) was loaded on the column, followed by five successive elution steps with 60 mL of a 40, 50, 66, 80, and finally 100% of an acetonitrile solution. In total, 90 fractions were collected (fractions of 5 mL from the full extract injection until the end of the 50% acetonitrile elution step and in the last elution step at 100% of acetonitrile; fractions of 3 mL fractions were collected during the elution steps with 66 and 80% of acetonitrile solution). This method was applied on a GE AKTA Prime Plus Liquid Chromatography System with a bulk of Sepra™ C18-E column (Phenomenex, 50 μm, 65 Å) manually packed in a XK16 bulk (Pharmacia Biotech).

Appendix B. HPLC Method

The HPLC system (HPLC Alliance, Waters) used a reversed phase Luna® Omega PS C18 column (Phenomenex, 2.1mm by 150 mm, 5 μm particle size, 100-Å pore size) column. Metabolites separation was performed using a step gradient system of 0.1% FA in 0.22 μm filtrated milliQ H2O (solvent A) and acetonitrile (Barker; HPLC Far UV grade) (solvent B), as follows: after a 2 min equilibration, the gradient started from 5% and went to 100% of B in 80 min, stayed at 100% of B during 8 min, decreased to 5% of B in 8 min and finally pre-equilibrated the system for 2 min; flow rate: 0.5 mL/min; column temperature of 40 °C. 50 µL of pre-purified fractions were injected and single UV-Vis absorbance were measured at 195 and 220 nm. Full UV-Vis absorbance scans were also recorded for all analyses (from 190 to 800 nm).

Appendix C. SP-HPLC Method

SP-HPLC column Luna® Omega PS C18 column (Phenomenex, 21.2 mm by 50 mm, 5 μm particle size, 100-Å pore size) allowed accurate purification of lunaemycins using agradient system of 0.1% FA in 0.22 µm filtrated milliQ H2O (solvent A) and acetonitrile (Barker; HPLC Far UV grade) (solvent B), as follows: after a 2 min equilibration, the gradient started from 50% and went to 70% of B in 18 min, stayed at 70% of B during 8 min, decreased to 50% of B in 1 min and finally pre-equilibrated the system for 1 min; flow rate: 3.5 mL/min. 50 µL of pre-purified fractions were injected and single UV-Vis absorbance were measured at 195 and 220 nm. Full UV-Vis absorbance scans were also recorded for all analyses (from 190 to 800 nm).

Appendix D. UPLC Method

RP-HPLC column Luna® Omega PS C18 column (Phenomenex, 2.1 mm by 150 mm, 5 μm particle size, 100-Å pore size) allowed the separation of metabolites using a gradient system of 0.1% FA in 0.22 µm filtrated milliQ H2O (solvent A) and acetonitrile (Barker; HPLC Far UV grade) (solvent B), as follows: after 2 min of equilibration of the column, the gradient started from 5% and went to 100% of B in 23 min, stayed at 100% of B during 2 min, decreased to 5% of B in 1 min and finally equilibrated the system for 2 min; flow rate: 0.4 mL/min; column temperature 40 °C. 10 µL of each fraction were injected and absorbance was measured at 220 and 280 nm.

Appendix E. MS Method

All HRMS and HRMS/MS spectra were obtained using the same UPLC-HRMS/MS method. High-Resolution Electrospray Ionization Mass Spectrometry—HRESIMS data were acquired on a Q Exactive Plus hybrid Quadrupole-Orbitrap mass spectrometer equipped with an electrospray ionization (ESI) source (Q Exactive Plus, Thermo Fisher Scientific, San Jose, CA, USA). Briefly, compounds were separated by reverse-phase chromatography using ultraperformance liquid chromatography (UPLC I-Class, Waters) as described in Appendix D—UPLC method. This chromatographic system was coupled to a Q Exactive Plus, operated in electrospray positive ion mode and programmed for data-dependent acquisitions. Survey scans were acquired at a mass-resolving power level of 140,000 FWHM (full width at half-maximum) from 100 to 1500 m/z (accumulation target, 1 × 106 ions or maximum inject time of 200 ms). The five ions showing the greatest intensity were then selected for tandem mass spectrometry (MS/MS) experiments by the use of higher-energy collision dissociation (HCD) fragmentation and stepped normalized collision energy (NCE) (21.2; 25; 28) within 2-atomic-mass-unit (amu) isolation window (resolution, 17,500; accumulation target, 1 × 105 ions or maximum inject time of 200 ms). Dynamic exclusion was enabled for 10 s. Data were analyzed using Xcalibur v2.2 (Thermo Fisher Scientific, San Jose, CA, USA). Each of the compounds was identified in accordance with its exact mass and isotope pattern, observation of the MS/MS spectra obtained by molecular ion fragmentation, and the UV-VIS absorbance.

References

  1. Barka, E.A.; Vatsa, P.; Sanchez, L.; Gaveau-Vaillant, N.; Jacquard, C.; Klenk, H.-P.; Clément, C.; Ouhdouch, Y.; van Wezel, G.P. Taxonomy, Physiology, and Natural Products of Actinobacteria. Microbiol. Mol. Biol. Rev. 2015, 80, 1–43. [Google Scholar] [CrossRef] [Green Version]
  2. Hopwood, D.A. Streptomyces in Nature and Medicine: The Antibiotic Makers; Oxford University Press: Oxford, NY, USA, 2007; ISBN 978-0-19-515066-7. [Google Scholar]
  3. van der Meij, A.; Worsley, S.F.; Hutchings, M.I.; van Wezel, G.P. Chemical Ecology of Antibiotic Production by Actinomycetes. FEMS Microbiol. Rev. 2017, 41, 392–416. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Hui, M.L.-Y.; Tan, L.T.-H.; Letchumanan, V.; He, Y.-W.; Fang, C.-M.; Chan, K.-G.; Law, J.W.-F.; Lee, L.-H. The Extremophilic Actinobacteria: From Microbes to Medicine. Antibiot. Basel Switz. 2021, 10, 682. [Google Scholar] [CrossRef] [PubMed]
  5. Axenov-Gibanov, D.V.; Voytsekhovskaya, I.V.; Tokovenko, B.T.; Protasov, E.S.; Gamaiunov, S.V.; Rebets, Y.V.; Luzhetskyy, A.N.; Timofeyev, M.A. Actinobacteria Isolated from an Underground Lake and Moonmilk Speleothem from the Biggest Conglomeratic Karstic Cave in Siberia as Sources of Novel Biologically Active Compounds. PLoS ONE 2016, 11, e0149216. [Google Scholar] [CrossRef]
  6. Maciejewska, M.; Całusińska, M.; Cornet, L.; Adam, D.; Pessi, I.S.; Malchair, S.; Delfosse, P.; Baurain, D.; Barton, H.A.; Carnol, M.; et al. High-Throughput Sequencing Analysis of the Actinobacterial Spatial Diversity in Moonmilk Deposits. Antibiotics 2018, 7, E27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Park, S.; Cho, Y.-J.; Jung, D.; Jo, K.; Lee, J.-S. Microbial Diversity of Baeg-Nyong Cave and Characterization of the Antibiotics Extracted from Streptomyces Exfoliatus. FASEB J. 2019, 33, 637.4. [Google Scholar] [CrossRef]
  8. Rangseekaew, P.; Pathom-Aree, W. Cave Actinobacteria as Producers of Bioactive Metabolites. Front. Microbiol. 2019, 10, 387. [Google Scholar] [CrossRef] [Green Version]
  9. Adam, D.; Maciejewska, M.; Naômé, A.; Martinet, L.; Coppieters, W.; Karim, L.; Baurain, D.; Rigali, S. Isolation, Characterization, and Antibacterial Activity of Hard-to-Culture Actinobacteria from Cave Moonmilk Deposits. Antibiotics 2018, 7, E28. [Google Scholar] [CrossRef] [Green Version]
  10. Maciejewska, M.; Adam, D.; Martinet, L.; Naômé, A.; Całusińska, M.; Delfosse, P.; Carnol, M.; Barton, H.A.; Hayette, M.-P.; Smargiasso, N.; et al. A Phenotypic and Genotypic Analysis of the Antimicrobial Potential of Cultivable Streptomyces Isolated from Cave Moonmilk Deposits. Front. Microbiol. 2016, 7, 1455. [Google Scholar] [CrossRef] [Green Version]
  11. Borsato, A.; Frisia, S.; Jones, B.; Van Der Borg, K. Calcite Moonmilk: Crystal Morphology and Environment of Formation in Caves in the Italian Alps. J. Sediment. Res. 2000, 70, 1171–1182. [Google Scholar] [CrossRef]
  12. Cañaveras, J.C.; Cuezva, S.; Sanchez-Moral, S.; Lario, J.; Laiz, L.; Gonzalez, J.M.; Saiz-Jimenez, C. On the Origin of Fiber Calcite Crystals in Moonmilk Deposits. Naturwissenschaften 2006, 93, 27–32. [Google Scholar] [CrossRef]
  13. Reinbacher, W.R. Is It Gnome, Is It Berg, Is It Mont, It It Mond? An Updated View of the Origin and Etymology of Moonmilk. Bull. Natl. Speleol. Soc. 1994, 56, 1–13. [Google Scholar]
  14. Miller, A.Z.; Dionísio, A.; Jurado, V.; Cuezva, S.; Sanchez-Moral, S.; Cañaveras, J.C.; Saiz-Jimenez, C. Biomineralization by cave dwelling microorganisms. In Advances in Geochemistry Research; Sanjurjo Sanchéz, J., Ed.; Nova Science Publishers: Hauppauge, NY, USA, 2013; Volume 5, pp. 77–105. [Google Scholar]
  15. Maciejewska, M.; Adam, D.; Naômé, A.; Martinet, L.; Tenconi, E.; Całusińska, M.; Delfosse, P.; Hanikenne, M.; Baurain, D.; Compère, P.; et al. Assessment of the Potential Role of Streptomyces in Cave Moonmilk Formation. Front. Microbiol. 2017, 8, 1181. [Google Scholar] [CrossRef] [Green Version]
  16. Cirigliano, A.; Tomassetti, M.C.; Di Pietro, M.; Mura, F.; Maneschi, M.L.; Gentili, M.D.; Cardazzo, B.; Arrighi, C.; Mazzoni, C.; Negri, R.; et al. Calcite Moonmilk of Microbial Origin in the Etruscan Tomba Degli Scudi in Tarquinia, Italy. Sci. Rep. 2018, 8, 15839. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Seifan, M.; Berenjian, A. Microbially Induced Calcium Carbonate Precipitation: A Widespread Phenomenon in the Biological World. Appl. Microbiol. Biotechnol. 2019, 103, 4693–4708. [Google Scholar] [CrossRef] [PubMed]
  18. Portillo, M.C.; Gonzalez, J.M. Moonmilk Deposits Originate from Specific Bacterial Communities in Altamira Cave (Spain). Microb. Ecol. 2011, 61, 182–189. [Google Scholar] [CrossRef] [Green Version]
  19. Spötl, C. Moonmilk as a Human and Veterinary Medicine: Evidence of Past Artisan Mining in Caves of the Austrian Alps. Int. J. Speleol. 2018, 47, 127–135. [Google Scholar] [CrossRef] [Green Version]
  20. Maciejewska, M.; Pessi, I.S.; Arguelles-Arias, A.; Noirfalise, P.; Luis, G.; Ongena, M.; Barton, H.; Carnol, M.; Rigali, S. Streptomyces Lunaelactis Sp. Nov., a Novel Ferroverdin A-Producing Streptomyces Species Isolated from a Moonmilk Speleothem. Antonie Van Leeuwenhoek 2015, 107, 519–531. [Google Scholar] [CrossRef]
  21. Naômé, A.; Maciejewska, M.; Calusinska, M.; Martinet, L.; Anderssen, S.; Adam, D.; Tenconi, E.; Deflandre, B.; Coppieters, W.; Karim, L.; et al. Complete Genome Sequence of Streptomyces Lunaelactis MM109T, Isolated from Cave Moonmilk Deposits. Genome. Announc. 2018, 6, e00435-18. [Google Scholar] [CrossRef] [Green Version]
  22. Martinet, L.; Naômé, A.; Baiwir, D.; De Pauw, E.; Mazzucchelli, G.; Rigali, S. On the Risks of Phylogeny-Based Strain Prioritization for Drug Discovery: Streptomyces Lunaelactis as a Case Study. Biomolecules 2020, 10, E1027. [Google Scholar] [CrossRef] [PubMed]
  23. Martinet, L.; Baiwir, D.; Mazzucchelli, G.; Rigali, S. Structure of New Ferroverdins Recruiting Unconventional Ferrous Iron Chelating Agents. Biomolecules 2022, 12, 752. [Google Scholar] [CrossRef] [PubMed]
  24. Martinet, L.; Naômé, A.; Deflandre, B.; Maciejewska, M.; Tellatin, D.; Tenconi, E.; Smargiasso, N.; de Pauw, E.; van Wezel, G.P.; Rigali, S. A Single Biosynthetic Gene Cluster Is Responsible for the Production of Bagremycin Antibiotics and Ferroverdin Iron Chelators. mBio 2019, 10, e01230-19. [Google Scholar] [CrossRef] [Green Version]
  25. Ma, J.; Wang, Z.; Huang, H.; Luo, M.; Zuo, D.; Wang, B.; Sun, A.; Cheng, Y.-Q.; Zhang, C.; Ju, J. Biosynthesis of Himastatin: Assembly Line and Characterization of Three Cytochrome P450 Enzymes Involved in the Post-Tailoring Oxidative Steps. Angew. Chem. Int. Ed. Engl. 2011, 50, 7797–7802. [Google Scholar] [CrossRef] [PubMed]
  26. Xie, Y.; Li, Q.; Qin, X.; Ju, J.; Ma, J. Enhancement of Himastatin Bioproduction via Inactivation of Atypical Repressors in Streptomyces Hygroscopicus. Metab. Eng. Commun. 2019, 8, e00084. [Google Scholar] [CrossRef] [PubMed]
  27. Kautsar, S.A.; Blin, K.; Shaw, S.; Navarro-Muñoz, J.C.; Terlouw, B.R.; van der Hooft, J.J.J.; van Santen, J.A.; Tracanna, V.; Suarez Duran, H.G.; Pascal Andreu, V.; et al. MIBiG 2.0: A Repository for Biosynthetic Gene Clusters of Known Function. Nucleic Acids Res. 2020, 48, D454–D458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Fujimori, D.G.; Hrvatin, S.; Neumann, C.S.; Strieker, M.; Marahiel, M.A.; Walsh, C.T. Cloning and Characterization of the Biosynthetic Gene Cluster for Kutznerides. Proc. Natl. Acad. Sci. USA 2007, 104, 16498–16503. [Google Scholar] [CrossRef] [Green Version]
  29. Liu, W.-T.; Lamsa, A.; Wong, W.R.; Boudreau, P.D.; Kersten, R.; Peng, Y.; Moree, W.J.; Duggan, B.M.; Moore, B.S.; Gerwick, W.H.; et al. MS/MS-Based Networking and Peptidogenomics Guided Genome Mining Revealed the Stenothricin Gene Cluster in Streptomyces Roseosporus. J. Antibiot. 2014, 67, 99–104. [Google Scholar] [CrossRef] [Green Version]
  30. Zhao, H.; Wang, L.; Wan, D.; Qi, J.; Gong, R.; Deng, Z.; Chen, W. Characterization of the Aurantimycin Biosynthetic Gene Cluster and Enhancing Its Production by Manipulating Two Pathway-Specific Activators in Streptomyces Aurantiacus JA 4570. Microb. Cell Factories 2016, 15, 160. [Google Scholar] [CrossRef] [Green Version]
  31. Broberg, A.; Menkis, A.; Vasiliauskas, R. Kutznerides 1−4, Depsipeptides from the Actinomycete Kutzneria Sp. 744 Inhabiting Mycorrhizal Roots of Picea Abies Seedlings. J. Nat. Prod. 2006, 69, 97–102. [Google Scholar] [CrossRef]
  32. Gräfe, U.; Schlegel, R.; Ritzau, M.; Ihn, W.; Dornberger, K.; Stengel, C.; Fleck, W.F.; Gutsche, W.; Härtl, A.; Paulus, E.F. Aurantimycins, New Depsipeptide Antibiotics from Streptomyces Aumntiacus IMET 43917 Production, Isolation, Structure Elucidation, and Biological Activity. J. Antibiot. 1995, 48, 119–125. [Google Scholar] [CrossRef] [Green Version]
  33. Leet, J.E.; Schroeder, D.R.; Golik, J.; Matson, J.A.; Doyle, T.W.; Lam, K.S.; Hill, S.E.; Lee, M.S.; Whitney, J.L.; Krishnan, B.S. Himastatin, a New Antitumor Antibiotic from Streptomyces Hygroscopicus. III. Structural Elucidation. J. Antibiot. 1996, 49, 299–311. [Google Scholar] [CrossRef]
  34. Hasenböhler, A.; Kneifel, H.; König, W.A.; Zähner, H.; Zeiler, H.J. [Metabolic products of microorganisms. 134. Stenothricin, a new inhibitor of the bacterial cell wall synthesis (author’s transl)]. Arch. Microbiol. 1974, 99, 307–321. [Google Scholar] [CrossRef] [PubMed]
  35. Neumann, C.S.; Jiang, W.; Heemstra, J.R., Jr.; Gontang, E.A.; Kolter, R.; Walsh, C.T. Biosynthesis of Piperazic Acid via N5-Hydroxy-Ornithine in Kutzneria Spp. 744. ChemBioChem 2012, 13, 972–976. [Google Scholar] [CrossRef]
  36. Du, Y.-L.; He, H.-Y.; Higgins, M.A.; Ryan, K.S. A Heme-Dependent Enzyme Forms the Nitrogen–Nitrogen Bond in Piperazate. Nat. Chem. Biol. 2017, 13, 836–838. [Google Scholar] [CrossRef]
  37. Morgan, K.D.; Andersen, R.J.; Ryan, K.S. Piperazic Acid-Containing Natural Products: Structures and Biosynthesis. Nat. Prod. Rep. 2019, 36, 1628–1653. [Google Scholar] [CrossRef] [PubMed]
  38. Wei, Z.-W.; Niikura, H.; Morgan, K.D.; Vacariu, C.M.; Andersen, R.J.; Ryan, K.S. Free Piperazic Acid as a Precursor to Nonribosomal Peptides. J. Am. Chem. Soc. 2022, 144, 13556–13564. [Google Scholar] [CrossRef] [PubMed]
  39. Chevrette, M.G.; Aicheler, F.; Kohlbacher, O.; Currie, C.R.; Medema, M.H. SANDPUMA: Ensemble Predictions of Nonribosomal Peptide Chemistry Reveal Biosynthetic Diversity across Actinobacteria. Bioinformatics 2017, 33, 3202–3210. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Du, Y.; Wang, Y.; Huang, T.; Tao, M.; Deng, Z.; Lin, S. Identification and Characterization of the Biosynthetic Gene Cluster of Polyoxypeptin A, a Potent Apoptosis Inducer. BMC Microbiol. 2014, 14, 30. [Google Scholar] [CrossRef] [Green Version]
  41. Pohlmann, V.; Marahiel, M.A. δ-Amino Group Hydroxylation of L-Ornithine during Coelichelin Biosynthesis. Org. Biomol. Chem. 2008, 6, 1843–1848. [Google Scholar] [CrossRef]
  42. Wei, H.; Lin, Z.; Li, D.; Gu, Q.; Zhu, T. [OSMAC (one strain many compounds) approach in the research of microbial metabolites—A review]. Wei Sheng Wu Xue Bao 2010, 50, 701–709. [Google Scholar]
  43. Rigali, S.; Anderssen, S.; Naômé, A.; van Wezel, G.P. Cracking the Regulatory Code of Biosynthetic Gene Clusters as a Strategy for Natural Product Discovery. Biochem. Pharmacol. 2018, 153, 24–34. [Google Scholar] [CrossRef] [PubMed]
  44. Rigali, S.; Titgemeyer, F.; Barends, S.; Mulder, S.; Thomae, A.W.; Hopwood, D.A.; van Wezel, G.P. Feast or Famine: The Global Regulator DasR Links Nutrient Stress to Antibiotic Production by Streptomyces. EMBO Rep. 2008, 9, 670–675. [Google Scholar] [CrossRef] [PubMed]
  45. Świątek, M.A.; Urem, M.; Tenconi, E.; Rigali, S.; van Wezel, G.P. Engineering of N-Acetylglucosamine Metabolism for Improved Antibiotic Production in Streptomyces Coelicolor A3(2) and an Unsuspected Role of NagA in Glucosamine Metabolism. Bioengineered 2012, 3, 280–285. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Shimada, N.; Morimoto, K.; Naganawa, H.; Takita, T.; Hamada, M.; Maeda, K.; Takeuchi, T.; Umezawa, H. ANTRIMYCIN, A NEW PEPTIDE ANTIBIOTIC. J. Antibiot. (Tokyo) 1981, 34, 1613–1614. [Google Scholar] [CrossRef] [Green Version]
  47. Jiang, L.; Huang, P.; Ren, B.; Song, Z.; Zhu, G.; He, W.; Zhang, J.; Oyeleye, A.; Dai, H.; Zhang, L.; et al. Antibacterial Polyene-Polyol Macrolides and Cyclic Peptides from the Marine-Derived Streptomyces Sp. MS110128. Appl. Microbiol. Biotechnol. 2021, 105, 4975–4986. [Google Scholar] [CrossRef]
  48. Moumbock, A.F.A.; Gao, M.; Qaseem, A.; Li, J.; Kirchner, P.A.; Ndingkokhar, B.; Bekono, B.D.; Simoben, C.V.; Babiaka, S.B.; Malange, Y.I.; et al. StreptomeDB 3.0: An Updated Compendium of Streptomycetes Natural Products. Nucleic. Acids Res. 2021, 49, D600–D604. [Google Scholar] [CrossRef]
  49. van Santen, J.A.; Poynton, E.F.; Iskakova, D.; McMann, E.; Alsup, T.A.; Clark, T.N.; Fergusson, C.H.; Fewer, D.P.; Hughes, A.H.; McCadden, C.A.; et al. The Natural Products Atlas 2.0: A Database of Microbially-Derived Natural Products. Nucleic Acids Res. 2022, 50, D1317–D1323. [Google Scholar] [CrossRef]
  50. Peoples, A.S.; Ling, L.L.; Lewis, K.; Zhang, Z. Novel Antibiotics Patent US-2011136752-A1 PubChem. Available online: https://pubchem.ncbi.nlm.nih.gov/patent/US-2011136752-A1 (accessed on 31 October 2022).
  51. Tenconi, E.; Rigali, S. Self-Resistance Mechanisms to DNA-Damaging Antitumor Antibiotics in Actinobacteria. Curr. Opin. Microbiol. 2018, 45, 100–108. [Google Scholar] [CrossRef]
  52. Besier, S.; Ludwig, A.; Zander, J.; Brade, V.; Wichelhaus, T.A. Linezolid Resistance in Staphylococcus Aureus: Gene Dosage Effect, Stability, Fitness Costs, and Cross-Resistances. Antimicrob. Agents Chemother. 2008, 52, 1570–1572. [Google Scholar] [CrossRef] [Green Version]
  53. Tedim, A.P.; Lanza, V.F.; Rodríguez, C.M.; Freitas, A.R.; Novais, C.; Peixe, L.; Baquero, F.; Coque, T.M. Fitness Cost of Vancomycin-Resistant Enterococcus Faecium Plasmids Associated with Hospital Infection Outbreaks. J. Antimicrob. Chemother. 2021, 76, 2757–2764. [Google Scholar] [CrossRef]
  54. Kieser, T.; Bibb, M.J.; Buttner, M.J.; Chater, K.F.; Hopwood, D.A. Practical Streptomyces Genetics; John Innes Foundation: Norwich, UK, 2000. [Google Scholar]
  55. Blin, K.; Shaw, S.; Kloosterman, A.M.; Charlop-Powers, Z.; van Wezel, G.P.; Medema, M.H.; Weber, T. AntiSMASH 6.0: Improving Cluster Detection and Comparison Capabilities. Nucleic Acids Res. 2021, 49, W29–W35. [Google Scholar] [CrossRef] [PubMed]
  56. Röttig, M.; Medema, M.H.; Blin, K.; Weber, T.; Rausch, C.; Kohlbacher, O. NRPSpredictor2--a Web Server for Predicting NRPS Adenylation Domain Specificity. Nucleic Acids Res. 2011, 39, W362–W367. [Google Scholar] [CrossRef] [PubMed]
  57. Humphries, R.M.; Ambler, J.; Mitchell, S.L.; Castanheira, M.; Dingle, T.; Hindler, J.A.; Koeth, L.; Sei, K. CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Tests PMC. Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869819/ (accessed on 27 November 2022).
  58. European Committee for Antimicrobial Susceptibility Testing (EUCAST) of the European Society of Clinical Microbiology and Infectious Dieases (ESCMID). EUCAST Definitive Document E.Def 1.2, May 2000: Terminology Relating to Methods for the Determination of Susceptibility of Bacteria to Antimicrobial Agents. Clin. Microbiol. Infect. Off. Publ. Eur. Soc. Clin. Microbiol. Infect. Dis. 2000, 6, 503–508. [Google Scholar] [CrossRef] [Green Version]
  59. Gubbens, J.; Wu, C.; Zhu, H.; Filippov, D.V.; Florea, B.I.; Rigali, S.; Overkleeft, H.S.; van Wezel, G.P. Intertwined Precursor Supply during Biosynthesis of the Catecholate-Hydroxamate Siderophores Qinichelins in Streptomyces Sp. MBT76. ACS Chem. Biol. 2017, 12, 2756–2766. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Predicted biosynthetic pathways and substrate specificity of BGC 28a (lun cluster). Top: genes/proteins predicted to be involved in the Ornithine (Orn) and Piperazic acid (Piz) biosynthesis. Bottom: modules, domains, predicted amino acid building-blocks, and modifying reactions of NRPSs of BGC 28a predicted to generate a cyclized hexapeptide with a monoisotopic mass of 708.4041 Da. Abbreviations: A, adenylation domain; C, condensation domain; T, thiolation domain; TE, thioesterase domain; Ile, isoleucine; Phe, phenylalanine; Piz, piperazic acid.
Figure 1. Predicted biosynthetic pathways and substrate specificity of BGC 28a (lun cluster). Top: genes/proteins predicted to be involved in the Ornithine (Orn) and Piperazic acid (Piz) biosynthesis. Bottom: modules, domains, predicted amino acid building-blocks, and modifying reactions of NRPSs of BGC 28a predicted to generate a cyclized hexapeptide with a monoisotopic mass of 708.4041 Da. Abbreviations: A, adenylation domain; C, condensation domain; T, thiolation domain; TE, thioesterase domain; Ile, isoleucine; Phe, phenylalanine; Piz, piperazic acid.
Ijms 24 01114 g001
Figure 2. (a) Genome mining of S. lunaelactis strains where the 42 predicted BGCs are grouped in ‘grapes’ of nodes where each node represents a BGC in one strain (from [22]). Note the two grapes corresponding to BGC 28a and to BGC 28b found in strains either containing the linear plasmid pSLUN1a or pSLUN1b, respectively. (b) Heatmap of the metabolomic analysis of 11 S. lunaelactis strains grown on ISP7 media. The zoom on the heatmap highlights the differential production patterns for metabolites with m/z comprised between 700 and 800 Da and only present in the extract of S. lunaelactis strains that possess BGC 28a (MM109T and MM37). (c) Extracted ion chromatograms (EIC, from m/z 700 to 800) of the full extract of the 11 strains with a focus on the retention times of signals associated with compounds only detected in S. lunaelactis strains with BGC 28a (MM109T and MM37). (d) HRMS-predicted molecular formula of compound 1 (for both the proton and the sodium adducts) associated with the main signal detected in EICs of S. lunaelactis strains MM37 and MM109T.
Figure 2. (a) Genome mining of S. lunaelactis strains where the 42 predicted BGCs are grouped in ‘grapes’ of nodes where each node represents a BGC in one strain (from [22]). Note the two grapes corresponding to BGC 28a and to BGC 28b found in strains either containing the linear plasmid pSLUN1a or pSLUN1b, respectively. (b) Heatmap of the metabolomic analysis of 11 S. lunaelactis strains grown on ISP7 media. The zoom on the heatmap highlights the differential production patterns for metabolites with m/z comprised between 700 and 800 Da and only present in the extract of S. lunaelactis strains that possess BGC 28a (MM109T and MM37). (c) Extracted ion chromatograms (EIC, from m/z 700 to 800) of the full extract of the 11 strains with a focus on the retention times of signals associated with compounds only detected in S. lunaelactis strains with BGC 28a (MM109T and MM37). (d) HRMS-predicted molecular formula of compound 1 (for both the proton and the sodium adducts) associated with the main signal detected in EICs of S. lunaelactis strains MM37 and MM109T.
Ijms 24 01114 g002
Figure 3. HRMS/MS-based identification of the amino acid building-blocks of compound 1. (a) NRPS genes of BGC 28a (lun cluster) and the predicted amino acid building-block sequence. (b) MS fragmentation spectrum and proposed structure of compound 1 (lunaemycin A). Only fragments corresponding to amino-acid or peptide m/z of the predicted peptide sequence are highlighted. Color code: orange, piperazic acid (Piz); grey, phenylalanine (Phe); blue, hydroxylated isoleucine (HO-Ile).
Figure 3. HRMS/MS-based identification of the amino acid building-blocks of compound 1. (a) NRPS genes of BGC 28a (lun cluster) and the predicted amino acid building-block sequence. (b) MS fragmentation spectrum and proposed structure of compound 1 (lunaemycin A). Only fragments corresponding to amino-acid or peptide m/z of the predicted peptide sequence are highlighted. Color code: orange, piperazic acid (Piz); grey, phenylalanine (Phe); blue, hydroxylated isoleucine (HO-Ile).
Ijms 24 01114 g003
Figure 4. HRMS/MS-based identification of fragmentation patterns of compound 1. (a) MS fragmentation spectrum. (b) Structure of ions containing one to four Piz residues (these ions are highlighted by numbers in blue in the MS fragmentation spectrum). (c) Structure of fragment ions containing the phenylalanine building block (these ions are highlighted by numbers in green in the MS fragmentation spectrum. (d) Structure of fragment ions that contain a hydroxyl-isoleucine residue (these ions are highlighted by numbers in red in the MS fragmentation spectrum). (e) Structure of fragment ions seemingly resulting from the neutral loss of H2O further supporting the presence of hydroxylated isoleucine (these ions are highlighted by numbers in orange in the MS fragmentation spectrum).
Figure 4. HRMS/MS-based identification of fragmentation patterns of compound 1. (a) MS fragmentation spectrum. (b) Structure of ions containing one to four Piz residues (these ions are highlighted by numbers in blue in the MS fragmentation spectrum). (c) Structure of fragment ions containing the phenylalanine building block (these ions are highlighted by numbers in green in the MS fragmentation spectrum. (d) Structure of fragment ions that contain a hydroxyl-isoleucine residue (these ions are highlighted by numbers in red in the MS fragmentation spectrum). (e) Structure of fragment ions seemingly resulting from the neutral loss of H2O further supporting the presence of hydroxylated isoleucine (these ions are highlighted by numbers in orange in the MS fragmentation spectrum).
Ijms 24 01114 g004
Figure 5. Structure elucidation of compounds 1 and 2 by NMR. (a) Compound 1. (b) Compound 2. (c) COSY and HMBC correlations that allowed to unambiguously confirm the location of the hydroxylation on compound 1. See supplementary Figures S2–S6.
Figure 5. Structure elucidation of compounds 1 and 2 by NMR. (a) Compound 1. (b) Compound 2. (c) COSY and HMBC correlations that allowed to unambiguously confirm the location of the hydroxylation on compound 1. See supplementary Figures S2–S6.
Ijms 24 01114 g005
Figure 6. GNPS of metabolites extracted from S. lunaelactis strains. Left panel: Constellations of compounds constructed based on GNPS processing the UPLC-MS/MS data obtained from the full extract of the eleven S. lunaelactis strains grown on ISP7 medium. Each node in a constellation represents a parent mass (MS1) of a compound detected in one or more of the eleven full extracts analyzed. Right panel: Constellation of lunaemycins where nodes are linked by a straight line when they share similar fragmentation patterns. Pink and blue nodes: lunaemycins with solved and unsolved structure, respectively (see details in Table 3, Figure 7, and Supplementary Figures S7–S20).
Figure 6. GNPS of metabolites extracted from S. lunaelactis strains. Left panel: Constellations of compounds constructed based on GNPS processing the UPLC-MS/MS data obtained from the full extract of the eleven S. lunaelactis strains grown on ISP7 medium. Each node in a constellation represents a parent mass (MS1) of a compound detected in one or more of the eleven full extracts analyzed. Right panel: Constellation of lunaemycins where nodes are linked by a straight line when they share similar fragmentation patterns. Pink and blue nodes: lunaemycins with solved and unsolved structure, respectively (see details in Table 3, Figure 7, and Supplementary Figures S7–S20).
Ijms 24 01114 g006
Figure 7. UPLC-HRMS chromatograms and mass spectra of lunaemycins. Left panel: Extracted ion chromatogram (EIC) with m/z signals ranging from 700 to 800 Da from the full extracts of S. lunaelactis MM109T grown on ISP7 medium. Right panels: HRMS-predicted molecular formula of compound 1 to 10c (for both the proton and the sodium adducts) associated with the main signal detected in the EIC displayed on the left panel.
Figure 7. UPLC-HRMS chromatograms and mass spectra of lunaemycins. Left panel: Extracted ion chromatogram (EIC) with m/z signals ranging from 700 to 800 Da from the full extracts of S. lunaelactis MM109T grown on ISP7 medium. Right panels: HRMS-predicted molecular formula of compound 1 to 10c (for both the proton and the sodium adducts) associated with the main signal detected in the EIC displayed on the left panel.
Ijms 24 01114 g007
Figure 8. Agar-diffusion antibacterial activity assays of lunaemycins. 0.1 mg/mL of gentamicin was used as positive control, and a water/acetonitrile solution (1/9, v/v) was used as negative control.
Figure 8. Agar-diffusion antibacterial activity assays of lunaemycins. 0.1 mg/mL of gentamicin was used as positive control, and a water/acetonitrile solution (1/9, v/v) was used as negative control.
Ijms 24 01114 g008
Figure 9. Proposed biosynthetic pathway of lunaemycin A. This model suggests that the Ile will be either N-hydroxylated before activation and recruitment by the A domain (like proposed for the coelichelin pathway) or hydroxylated once activated and tethered on the thiolation domain of Lun20 (like proposed for polyoxypeptin synthesis).
Figure 9. Proposed biosynthetic pathway of lunaemycin A. This model suggests that the Ile will be either N-hydroxylated before activation and recruitment by the A domain (like proposed for the coelichelin pathway) or hydroxylated once activated and tethered on the thiolation domain of Lun20 (like proposed for polyoxypeptin synthesis).
Ijms 24 01114 g009
Table 1. Deduced functions of ORFs of the lun (BGC 28a) biosynthetic gene cluster of S. lunaelactis MM109T.
Table 1. Deduced functions of ORFs of the lun (BGC 28a) biosynthetic gene cluster of S. lunaelactis MM109T.
ORFsClosest Homologue in MiBIG Database (Protein ID)Homology (Id/Cov)Proposed Function
Locus Tag Accession No.Name Size (aa)
SLUN_RS38410 WP_108155188.1Lun1
177
TmcL, hypothetical protein, α,β-epoxyketone BGC of Streptomyces chromofuscus (CUX96959.1)64/100Unknown
SLUN_RS38415 WP_108155189.1Lun2
278
DUF4097 family beta strand repeat-containing protein, α,β-epoxyketone BGC of Streptomyces chromofuscus (CUX96960.1)48/100Unknown
SLUN_RS38420 WP_108155190.1 Lun3
416
Cytochrome P450, streptovaricin BGC of Streptomyces spectabilis (ASZ00144.1)61/97Product modification
SLUN_RS38425 WP_108155191.1 Lun4 76Ferredoxin, caniferolide A BGC from Streptomyces caniferus (QBF51761.1)52/82Product modification
SLUN_RS38430 WP_254708284.1 Lun5
179
GtrA family protein, monensin BGC from Streptomyces cinnamonensis (AAO65788.1)60/82Unknown
SLUN_RS38435 WP_159100457.1 Lun6
746
MPPL family transporter, alnumycin A BGC from Streptomyces sp. CM020 (ACI88887.1)58/98Exporter
SLUN_RS38440 WP_108155192.1 Lun7
409
MfnN, cytochrome P450, marformycin A BGC from Streptomyces drozdowiczii (AJV88386.1)37/100product modification
SLUN_RS38445 WP_108155193.1 Lun8
157
Hypothetical protein, no hit in MiBIG, closest to Streptomyces sp. Ag82_O1-15 (WP_095849664.1)47/88Unknown
SLUN_RS38450 WP_108155194.1Lun9
531
MFS transporter, siamycin I BGC from Streptomyces sp. (BBD82029.1)72/93Resistance export
SLUN_RS38455 WP_108155195.1Lun10
241
TetR/AcrR family transcriptional regulator, siamycin I BGC from Streptomyces sp. (BBD82030.1)61/96Resistance regulation
SLUN_RS38460 WP_108155196.1 Lun11
342
StenM, N-acetyl-gamma-glutamyl-phosphate reductase (ArgC), stenothricin BGC from Streptomyces roseosporus (EFE73305.1)81/100L-ornithine synthesis
SLUN_RS38465 WP_108155197.1 Lun12
417
StenJ, N(2)-acetyl-L-ornithine:2-oxoglutarate aminotransferase (ArgD), stenothricin BGC from Streptomyces roseosporus NRRL 15998 (EFE73302.1)72/94L-ornithine synthesis
SLUN_RS38470 WP_108155198.1 Lun13
300
StenK, N-acetylglutamate kinase (ArgB), stenothricin BGC from Streptomyces roseosporus (EFE73303.1)81/97L-ornithine synthesis
SLUN_RS38475 WP_108155199.1 Lun14
384
StenL, bifunctional N(2)-acetyl-L-ornithine:L-glutamate N-acetyltransferase (ArgJ), stenothricin BGC from Streptomyces roseosporus (EFE73304.1)80/100L-ornithine synthesis
SLUN_RS38480 WP_108155200.1 Lun15
70
KtzJ, aurantimycin A BGC from Streptomyces aurantiacus JA 4570 (WP_016638464.1)71/100Building block modification
SLUN_RS38485 WP_108155201.1 Lun16
444
HmtM, lysine N(6)-hydroxylase/L-ornithine N(5)-oxygenase, himastatin BGC of Streptomyces himastatinicus (CBZ42147.1)63/97Piz synthesis
SLUN_RS38490 WP_108155202.1 Lun17
230
HmtC, piperazate synthase, himastatin BGC Streptomyces himastatinicus (CBZ42137.1)69/95Piz synthesis
SLUN_RS38495 WP_108155203.1 Lun18
235
LmbU family transcriptional regulator, himastatin BGC Streptomyces himastatinicus (CBZ42138.1)69/95 Regulation
SLUN_RS38500 WP_108155204.1 Lun19
100
chorismate mutase, no hit in MiBIG, Streptomyces sp. SLBN-118 (WP_142214144.1)78/97 Phe biosynthetic pathway
SLUN_RS38505 WP_108155205.1 Lun20
1072
OciC, non-ribosomal peptide synthetase (Module 3, domain C-A-T), cyanopeptolin BGC from Planktothrix agardhii NIVA-CYA 116 (ABI26079.1)43/98 Incorporated aa: L-Ile
SLUN_RS38510 WP_108155206.1 Lun21
400
NAD(P)/FAD-dependent oxidoreductase, aurantimycin A BGC from Streptomyces aurantiacus JA 4570 (WP_016638468.1)53/99 Hydroxylation
SLUN_RS38515 WP_108155207.1 Lun22
5462
HmtL, non-ribosomal peptide synthetase (Modules 4/5/6/7, domains C-A-T-E/C-A-T/C-A-T-E/C-A-T-TE), himastatin BGC of Streptomyces himastatinicus (CBZ42146.1)55–100Incorporated aa: D-Piz/L-Piz/D-Piz/L-Piz and peptide release and cyclization
SLUN_RS38520 WP_159100458.1 Lun23
2167
Non-ribosomal peptide synthetase (Module 1/2, domains A-T-E/C-A-T), aurantimycin A BGC from Streptomyces aurantiacus JA 4570 (WP_016638470.1)53/100Incorporated aa: D-Phe/inactive
SLUN_RS38525 WP_108155209.1 Lun24
259
KtzF thioesterase, alpha/beta fold hydrolase, himastatin BGC of Streptomyces himastatinicus (CBZ42144.1)58/97Peptide release
SLUN_RS38530 WP_108155210.1 Lun25
258
ABC transporter permease, aurantimycin A BGC from Streptomyces aurantiacus JA 4570 (WP_016638474.1)51/100Drug resistance
SLUN_RS38535 WP_108155211.1 Lun26
323
Daunorubicin resistance protein DrrA family ABC transporter ATP-binding protein, aurantimycin A BGC of Streptomyces aurantiacus JA 4570 (WP_016638473.1)66/94Drug resistance
SLUN_RS38540 WP_108155212.1 Lun27
286
DUF4097 family beta strand repeat-containing protein, himastatin BGC Streptomyces himastatinicus (CBZ42150.1)39/100Unknown
SLUN_RS38545 WP_108155213.1 Lun28
261
3-oxoacyl-ACP reductase FabG, kiamycin biosynthetic gene cluster from Streptomyces sp. W007 (EHM27508.1)74/97Unknown
SLUN_RS38550 WP_108155214.1 Lun29
285
SARP family transcriptional regulator, mitomycin biosynthetic gene cluster from Streptomyces lavendulae (AAD28451.1)30/90Regulation
SLUN_RS38555 WP_108155215.1 Lun30
293
class I SAM-dependent methyltransferase, 5-isoprenylindole-3-carboxylate β-D-glycosyl ester BGC from Streptomyces sp. RM-5–8 (ANA09433.1)31/85Unknown
SLUN_RS38560 WP_108155216.1 Lun31
108
ArsR family transcriptional regulator, no hit in MiBIG database, Streptomyces mangrovisoli (WP_052743136.1)93/85Regulation
SLUN_RS38565 WP_108155217.1 Lun32
457
M14 family zinc carboxypeptidase, capreomycin IA BGC from Saccharothrix mutabilis subsp. Capreolus (ABR67765.1)45/98 Unknown
SLUN_RS38570 WP_108155218.1 Lun33
500
Amino acid permease, amphotericin B biosynthetic gene cluster from Streptomyces nodosus (AAV48836.1)54/89Unkown
SLUN_RS38575 WP_257153969.1 Lun34
450
glutamine synthetase family protein, colabomycin E BGC from Streptomyces aureus (AIL50155.1)36/100Unknown
SLUN_RS38580 WP_108155220.1 Lun35
190
MarR family transcriptional regulator, no hit in MiBIG database, Streptomyces sp. ISL-44 (WP_215144797.1)83/93Regulation
SLUN_RS38585 WP_108155221.1 Lun36
268
acetoacetate decarboxylase family protein, enduracidin BGC from Streptomyces fungicidicus (ABD65946.1)35/99Unknown
SLUN_RS38590 WP_108155222.1 Lun37
846
SpoIIE family protein phosphatase, laidlomycin BGC from Streptomyces sp. CS684 (AFL48546.1)48/68Unknown
SLUN_RS38595 WP_108155223.1 Lun38
256
gamma-glutamyl-gamma-aminobutyrate hydrolase, nenestatin biosynthetic gene cluster from Micromonospora echinospora (ARD70860.1) 35/95Unknown
SLUN_RS41955 WP_108155224.1 Lun39
495
Putative aldehyde dehydrogenase, pederin BGC from uncultured bacterium (AAS47555.1)49/100Unknown
Table 2. Assignment of NMR signals of the major (1) and minor (2) components of the semi purified sample.
Table 2. Assignment of NMR signals of the major (1) and minor (2) components of the semi purified sample.
Atom NumberMajor Compound (1)Minor Compound (2)
1H NMR a13C NMR b1H NMR a13C NMR b
19.27 (b, 1H) 9.64 (b, 1H)
25.82–5.7656.45.96 (d, J = 11.0 Hz, 1H)55.6
32.07–2.0332.82.12–2.0732.3
41.02–0.9425.21.02–0.9425.2
50.82–0.7611.10.82–0.7610.9
6 172.7 172.2
70.88–0.8415.50.88–0.8415.4
84.92–4.84 c 4.92–4.84 c
92.9–3.1 d46.9 dee
101.2–2.3 f18.4–26.2 fee
111.2–2.3 f18.4–26.2 fee
125.75 (d, J = 5.6 Hz, 1H) g48.9 g5.82–5.76 g47.6 g
13 173.5 h 171.3 h
145.05 (d, J = 13.8 Hz, 1H) c
152.9–3.1 d47.1 d6.91 (d, J = 3.7 Hz, 1H) i142.9 i
161.2–2.3 f18.4–26.2 fee
171.2–2.3 f18.4–26.2 fee
185.39 g48.1 g5.36–5.28 g47.5 g
19 174.1 h 172.9 h
205.18 (d, J = 13.0 Hz, 1H) c 5.01 (d, J = 14.4 Hz, 1H) c
212.9–3.1 d47.2 dee
221.2–2.3 f18.4–26.2 fee
231.2–2.3 f18.4–26.2 fee
245.45 g47.6 g5.67 g46.7 g
25 173.2 h 171.6 h
265.23 (dd, J = 12.8, 3.4 Hz, 1H) c 5.36–5.28 c
272.9–3.1 d47.3 dee
281.2–2.3 f18.4–26.2 fee
291.2–2.3 f18.4–26.2 fee
304.92–4.84 g49.6 g5.37 g47.6 g
31 170.9(8)h 171.0(2) h
328.27 (d, J = 8.6 Hz, 1H) 8.22 (d, J = 9.0 Hz, 1H)
335.36–5.2849.05.68 (d, J = 5.4 Hz, 1H)49.1
342.93–2.86 and 2.77–2.6737.72.93–2.86 and 2.77–2.6737.7
35 137.7(1) 137.7(4)
367.20–7.14 j129.7(0)7.20–7.14 j129.7(3)
377.24 j128.47.24 j128.3
387.20–7.14 j126.6(7)7.20–7.14 j126.6(5)
397.24 j128.47.24 j128.3
407.20–7.14 j129.7(0)7.20–7.14 j129.7(3)
41 170.3 170.4
a Multiplicities, integrations and J-values are only shown if unambiguously characterized. b 13C J-modulated spin echo NMR allowed us to differentiate quaternaryC/CH2 from CH/CH3. c 1HNMR signals attributed to N-H from piperazate residues (N-8, N-14, N-20, N-26) could be exchangeable. d A series of overlapping 1HNMR signals between 2.9 and 3.1 and a series of 13CNMR signals between 46.9 and 47.3 are attributable to δ-methylene groups (C-9, C-15, C-21 and C-27). e Signals for methylene groups from the piperazate side chains of the minor component were not attributed due to the overlapping and/or low intensity signals. f A series of overlapping 1H NMR signals between 1.2 and 2.3 ppm and a series of 13C NMR between 18.4 and 26.2 ppm are attributable to β- and γ-methylene groups from the Piz residues (C-10, C-11, C-16, C-17, C-22, C-23, C-28, C-29). g 1HNMR and 13C NMR signals attributed to the α hydrogens and carbons from piperazate residues (C-12, C-18, C-24, C-30) could be exchangeable. h 13C NMR signals attributed to C=O from piperazate residues (C-13, C-19, C-25) could be exchangeable. i 1H NMR and 13C NMR signals from the imine of the dehydro-piperazate group present in compound 2. j 1H NMR signals for phenylalanine aromatic carbons (C-36 to C-40) from major and minor components could not be distinguished due to overlapping.
Table 3. Lunaemycins produced by S. lunaelactis MM109T and MM37.
Table 3. Lunaemycins produced by S. lunaelactis MM109T and MM37.
NbRT (min) Namem/z Observed [M+H]+/[M+Na]+Formula [M+H]+/[M+Na]+Δm (ppm)
118.35Lunaemycin A725.4092/747.3903C35H53N10O7+/C35H52N10O7Na+0.1/1
2a17.42Lunaemycin B1723.3935/745.3749C35H51N10O7+/C35H50N10O7Na+0.2/0.9
2b17.74Lunaemycin B2723.3935/745.3749C35H51N10O7+/C35H50N10O7Na+0.2/0.9
3a16.94Lunaemycin C1721.3779/743.3594C35H49N10O7+/C35H48N10O7Na+0.1/0.4
3b17.27Lunaemycin C2721.3777/743.3594C35H49N10O7+/C35H48N10O7Na+0.4/0.8
416.82Lunaemycin D739.3886/761.3698C35H51N10O8+/C35H50N10O8Na+0.1/1
5a15.91Lunaemycin E1737.3731/759.3546C35H49N10O8+/C35H48N10O8Na+0.2/0.4
5b16.44Lunaemycin E2737.3731/759.3546C35H49N10O8+/C35H48N10O8Na+0.6/1.3
615.60Lunaemycin F741.4042/763.3856C35H53N10O8+/C35H52N10O8Na+0.1/0.7
7 13.76 Lunaemycin G 755.3832/777.3647 C35H51N10O9+/C35H50N10O9Na+0.3/0.9
8 12.81 Lunaemycin H 757.399/779.3806 C35H53N10O9+/C35H52N10O7Na+0.1/0.3
9 17.59 Lunaemycin I 711.3935/733.3751 C34H51N10O7+/C34H48N10O7Na+0.1/0.8
10a 16.70 Lunaemycin J1 709.3784/731.3603 C34H49N10O7+/C34H48N10O7Na+0.3/0.3
10b 17. 10 Lunaemycin J2 709.3777/731.3594 C34H49N10O7+/C34H48N10O7Na+0.3/0.5
10c 17.40 Lunaemycin J3 709.4141/731.3951 C35H53N10O7+/C35H52N10O6Na+0.3/0.1
Additional lunaemycin derivatives with non-elucidated structure
1111.73 -753.3666/775.3492C35H49N10O9+/C35H48N10O9Na+1.7/0.8
1211.79 -771.3785/793.36C35H51N10O10+/C35H50N10O10Na+0.2/0.5
1315.91 -754.3993C35H52N11O8+/ND 0.3
1416.84 -613.346C30H45N8O6+/ND 0.4
1518.33 -742.436C35H56N10O7+/ND 1.2
The numbers attributed to the different lunaemycins refer to the peaks displayed in EIC of Figure 7.
Table 4. In vitro antibacterial activity (MIC and MBC values) of lunaemycin A on reference strains and clinical isolates with various phenotypes of resistance to antibiotics.
Table 4. In vitro antibacterial activity (MIC and MBC values) of lunaemycin A on reference strains and clinical isolates with various phenotypes of resistance to antibiotics.
OrganismResistanceMIC (µg/mL)MBC (µg/mL)Comparator (MIC, µg/mL) a
Gram-positive bacteria
Bacillus subtilis ATCC 6633-0.12 4 Van, 0.5
Enterococcus faecalis ATCC 29212-0.12 8 Van, 1
Streptococcus pyogenes ATCC 12344-0.12 8 Van, 1
Staphylococcus aureus ATCC 25923-0.12 4 Van, 0.5
Enterococcus faecalis SI-759VancomycinR, teicoplaninR0.25 8 Tei, 4
Enterococcus faecium SI-1831VancomycinR, teicoplaninR0.25 0.25 Tei, 32
Staphylococcus aureus ATCC 43300MethicillinR, MRSA0.12 2 Oxa, 32
Staphylococcus epidermidis SI-1266LinezolidR0.12 0.25 Lin, 64
Staphylococcus haemolyticus SI-6/2011GentamicinR0.12 2 Gen, >32
Staphylococcus warneri SI-5/2011OxacillinR0.12 8 Oxa, 32
Gram-negative bacteria
Acinetobacter baumannii ATCC 17978->64 - Col, 1
Escherichia coli CCUGT->64 - Col, 0.5
Klebsiella pneumoniae ATCC 13833->64 - Col, 0.5
Pseudomonas aeruginosa ATCC 27853->64 - Col, 1
Acinetobacter baumannii N50MDR, carbapenemR>64-Mer, 32
Escherichia coli SI-63MDR, colistinR, mcr+>64-Col, 8
Escherichia coli MO287MDR, NDM-1+>64-Mer, 64
Escherichia coli SI-1896MDR, OXA-48-like+>64-Mer, >16
Klebsiella pneumoniae B2pandrug-resistant>64-Col, 128
Klebsiella pneumoniae BO4pandrug-resistant>64-Col, 64
Klebsiella pneumoniae SI-518MDR, NDM-1+>64-Mer, 128
Klebsiella pneumoniae SI-703AMDR, OXA-48-like+>64-Mer, >16
Pseudomonas aeruginosa SI-270MDR, colistinR>64-Col, 16
a Van, vancomycin; Tei, teicoplanin; Oxa, oxacillin; Lin, linezolid; Gen, gentamicin; Col, colistin; Mer, meropenem. R, resistant; +, presence of the associated resistance gene.
Table 5. List of bacterial strains used in this study.
Table 5. List of bacterial strains used in this study.
BacteriaRef NumberComment/UtilizationOrigin
Streptomyces Strains
S. lunaelactis MM109TDSM 42149BGC 28a in pSLUN1a, type strain. Lunaemycin producerULiège/Hedera 22
S. lunaelactis MM37-BGC 28a in pSLUN1a. Lunaemycin producerULiège/Hedera 22
S. lunaelactis MM22-BGC 28b in pSLUN1bULiège/Hedera 22
S. lunaelactis MM25-BGC 28b in pSLUN1bULiège/Hedera 22
S. lunaelactis MM28-BGC 28b in pSLUN1bULiège/Hedera 22
S. lunaelactis MM31-BGC 28b in pSLUN1b.ULiège/Hedera 22
S. lunaelactis MM40-BGC 28b in pSLUN1bULiège/Hedera 22
S. lunaelactis MM78-BGC 28b in pSLUN1bULiège/Hedera 22
S. lunaelactis MM83-BGC 28b in pSLUN1bULiège/Hedera 22
S. lunaelactis MM113-BGC 28b in pSLUN1bULiège/Hedera 22
S. lunaelactis MM115-BGC 28b in pSLUN1bULiège/Hedera 22
Strains used for antibacterial assays
Acinetobacter baumanniiATCC 17978Reference strainULiège
Acinetobacter baumanniiN50Clinical isolate (MDR, carbapnemR)Università di Siena
Bacillus subtilisATCC 6633Reference strainUniversità di Siena
Bacillus subtilisATCC 19659Reference strainULiège
Citrobacter freundiiATCC 43864Reference strainULiège
Escherichia coliCCUGTReference strainUniversità di Siena
Escherichia coliATCC 25922Reference strainULiège
Escherichia coliSI-63Clinical isolate (MDR, colistinR, mcr+)Università di Siena
Escherichia coliMO287Clinical isolate (MDR, NDM-1+)Università di Siena
Escherichia coliSI-1896Clinical isolate (MDR, OXA-48-like+)Università di Siena
Enterococcus faecalisATCC 29212Reference strainUniversità di Siena
Enterococcus faecalisSI-759Clinical isolate (vancomycinR, teicoplaninR)Università di Siena
Enterococcus faeciumSI-1831Clinical isolate (vancomycinR, teicoplaninR)Università di Siena
Enterococcus hiraeATCC 9790Reference strainULiège
Klebsiella pneumoniaeATCC 13833Reference strainULiège/Università di Siena
Klebsiella pneumoniaeB2Clinical isolate (pandrug-resistant)Università di Siena
Klebsiella pneumoniaeBO4Clinical isolate (pandrug-resistant)Università di Siena
Klebsiella pneumoniaeSI-518Clinical isolate (MDR, NDM-1+)Università di Siena
Klebsiella pneumoniaeSI-703AClinical isolate (MDR, OXA-48-like+)Università di Siena
Kocuria rhizophila (Micrococcus luteus)ATCC 9341Reference strainULiège
Proteus mirabilisATCC 7002Reference strainULiège
Pseudomonas aeruginosaATCC 27853Reference strainULiège/Università di Siena
Pseudomonas aeruginosaSI-270Clinical isolate (MDR, colistinR)Università di Siena
Serratia marcescensATCC 10759Reference strainULiège
Streptococcus pyogenesATCC 12344Reference strainULiège
Staphylococcus aureusATCC 25923Reference strainULiège/Università di Siena
Staphylococcus aureusATCC 43300Clinical isolate (methicillinR, MRSA)Università di Siena
Staphylococcus epidermidisSI-1266Clinical isolate (linezolidR)Università di Siena
Staphylococcus haemolyticusSI-6/2011Clinical isolate (gentamicinR)Università di Siena
Staphylococcus warneriSI-5/2011Clinical isolate (oxacillinR)Università di Siena
R, resistant; +, presence of the associated resistance gene.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Martinet, L.; Naômé, A.; Rezende, L.C.D.; Tellatin, D.; Pignon, B.; Docquier, J.-D.; Sannio, F.; Baiwir, D.; Mazzucchelli, G.; Frédérich, M.; et al. Lunaemycins, New Cyclic Hexapeptide Antibiotics from the Cave Moonmilk-Dweller Streptomyces lunaelactis MM109T. Int. J. Mol. Sci. 2023, 24, 1114. https://doi.org/10.3390/ijms24021114

AMA Style

Martinet L, Naômé A, Rezende LCD, Tellatin D, Pignon B, Docquier J-D, Sannio F, Baiwir D, Mazzucchelli G, Frédérich M, et al. Lunaemycins, New Cyclic Hexapeptide Antibiotics from the Cave Moonmilk-Dweller Streptomyces lunaelactis MM109T. International Journal of Molecular Sciences. 2023; 24(2):1114. https://doi.org/10.3390/ijms24021114

Chicago/Turabian Style

Martinet, Loïc, Aymeric Naômé, Lucas C. D. Rezende, Déborah Tellatin, Bernard Pignon, Jean-Denis Docquier, Filomena Sannio, Dominique Baiwir, Gabriel Mazzucchelli, Michel Frédérich, and et al. 2023. "Lunaemycins, New Cyclic Hexapeptide Antibiotics from the Cave Moonmilk-Dweller Streptomyces lunaelactis MM109T" International Journal of Molecular Sciences 24, no. 2: 1114. https://doi.org/10.3390/ijms24021114

APA Style

Martinet, L., Naômé, A., Rezende, L. C. D., Tellatin, D., Pignon, B., Docquier, J. -D., Sannio, F., Baiwir, D., Mazzucchelli, G., Frédérich, M., & Rigali, S. (2023). Lunaemycins, New Cyclic Hexapeptide Antibiotics from the Cave Moonmilk-Dweller Streptomyces lunaelactis MM109T. International Journal of Molecular Sciences, 24(2), 1114. https://doi.org/10.3390/ijms24021114

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