Here, we describe two N-acetyl-cysteinylated streptophenazines (1 and 2) produced by the soil-derived Streptomyces sp. ID63040 and identified through a metabolomic approach. These metabolites attracted our interest due to their low occurrence frequency in a large library of fermentation broth extracts and their consistent presence in biological replicates of the producer strain. The compounds were found to possess broad-spectrum antibacterial activity while exhibiting low cytotoxicity. The biosynthetic gene cluster from Streptomyces sp. ID63040 was found to be highly similar to the streptophenazine reference cluster in the MIBiG database, which originates from the marine Streptomyces sp. CNB-091. Compounds 1 and 2 were the main streptophenazine products from Streptomyces sp. ID63040 at all cultivation times but were not detected in Streptomyces sp. CNB-091. The lack of obvious candidates for cysteinylation in the Streptomyces sp. ID63040 biosynthetic gene cluster suggests that the N-acetyl-cysteine moiety derives from cellular functions, most likely from mycothiol. Overall, our data represent an interesting example of how to leverage metabolomics for the discovery of new natural products and point out the often-neglected contribution of house-keeping cellular functions to natural product diversification.
Here, we describe two N-acetyl-cysteinylated streptophenazines (1 and 2) produced by the soil-derived Streptomyces sp. ID63040 and identified through a metabolomic approach. These metabolites attracted our interest due to their low occurrence frequency in a large library of fermentation broth extracts and their consistent presence in biological replicates of the producer strain. The compounds were found to possess broad-spectrum antibacterial activity while exhibiting low cytotoxicity. The biosynthetic gene cluster from Streptomyces sp. ID63040 was found to be highly similar to the streptophenazine reference cluster in the MIBiG database, which originates from the marine Streptomyces sp. CNB-091. Compounds 1 and 2 were the main streptophenazine products from Streptomyces sp. ID63040 at all cultivation times but were not detected in Streptomyces sp. CNB-091. The lack of obvious candidates for cysteinylation in the Streptomyces sp. ID63040 biosynthetic gene cluster suggests that the N-acetyl-cysteine moiety derives from cellular functions, most likely from mycothiol. Overall, our data represent an interesting example of how to leverage metabolomics for the discovery of new natural products and point out the often-neglected contribution of house-keeping cellular functions to natural product diversification.
Resistance
has been observed
against all established classes of clinically relevant antibiotics,[1] rendering once easy-to-cure diseases difficult
to treat. Hence, there is an urgent need for novel chemical scaffolds
with antibacterial activity. With synthetic approaches performing
below expectations, natural products are still the prevalent source
of antibiotics in human use.[2] Bioactivity-based
screenings introduce bias into natural products discovery, highlighting
mostly the metabolites that are both frequently encountered and present
in concentrations above the bioactivity test threshold.[3−5] To expand our knowledge of the vast chemical space covered by natural
products, it is necessary to find alternative strategies to identify
novel compounds to meet our medical needs.One of the main challenges
in natural products discovery lies in
avoiding rediscovery of known scaffolds. The widespread use of mass
spectrometry and rapid development of spectrum processing and analysis
tools[6−9] have facilitated recognizing previously described compounds in a
process known as dereplication. As databases are biased toward bioactive
metabolites and only a fraction of the occurring metabolites have
been annotated, only a minority of signals in the metabolic fingerprint
of any microbe can be dereplicated automatically. This implies that
the potential novelty of an unknown metabolite cannot be deduced from
the absence of annotation.Relying on the assumption that novel
chemistry is detected relatively
rarely when exploring well-established microbial taxa,[3] it should nevertheless be possible to pinpoint medically
valuable metabolites by exploring a sufficiently large data set of
metabolites. In this respect, NAICONS’ metabolic fingerprint
library (NMFL), derived from about 14 000 extracts obtained
from about 4000 actinomycete strains,[10] offers a great opportunity for “rarity-based” prioritization
of metabolites to discover novel antimicrobials. Recently, a metabolomics-guided
approach has enabled the discovery of the unusual biaryl-linked tripeptides
produced by some Planomonospora strains and permitted
the finding that the associated biosynthetic gene clusters (BGCs)
are widespread among actinobacteria, although the corresponding metabolites
have so far escaped detection.[11]We describe the discovery of reliably produced antimicrobial streptophenazines
featuring an N-acetylated cysteine attached to the
alkyl chain C-1′ via a thioether bridge through an untargeted
metabolomics[12] approach. We trace the abundance
dynamics of these molecules and compare the BGC from the producer
strain Streptomyces sp. ID63040 to the streptophenazine
reference cluster.[13]
Results and Discussion
Metabolite
Prioritization
Current results stem from
a study aimed at identifying small-molecule elicitors that would trigger
production of secondary metabolites. Using 21 randomly chosen Streptomyces strains from the NAICONS collection of 45 000
actinomycete strains,[10] we cultivated them
in medium-scale liquid cultures in a single medium but in separate
experiments and analyzed the metabolite fingerprints of the corresponding
extracts by LC-MS/MS (K.V., unpublished results). During the course
of this study, we realized that the available data set could be “mined”
for metabolites that fulfilled the following properties: (i) they
were not detected in any of the 14 000 metabolic fingerprints
contained in the NMFL; (ii) they did not cluster together with any
of the annotated metabolites in the GNPS platform;[6] (iii) they coeluted with few other metabolites by reversed-phase
HPLC; and (iv) they were observed in extracts obtained from biological
replicates of the same strain performed at different times (Figure ).
Figure 1
Metabolite prioritization
workflow. First, we selected signals
absent in the NMFL data set (Frequency); next, we excluded signals
associated with annotated molecular families in the GNPS database
(Dereplication); then, we manually examined raw data to establish
chromatogram crowdedness (Context); and finally, we verified the presence
of signals across biological replicates (Reproducibility).
Metabolite prioritization
workflow. First, we selected signals
absent in the NMFL data set (Frequency); next, we excluded signals
associated with annotated molecular families in the GNPS database
(Dereplication); then, we manually examined raw data to establish
chromatogram crowdedness (Context); and finally, we verified the presence
of signals across biological replicates (Reproducibility).The metabolites occurring in the data set related to 21 strains
and absent in the NMFL were considered as rare and potentially novel.
The molecular network of 11 362 data files related to roughly
4000 strains and 42 data files related to the set of 21 strains was
calculated on the GNPS server (K.V., unpublished results) The resulting
table was analyzed as follows. First, we omitted all single nodes,
as the presence of structurally related congeners strengthens metabolite
identification. Then, we focused on nodes encountered only in the
data set of 21 strains. Next, we eliminated signals clustering into
molecular families with characterized compounds. This logical flow,
which was designed for identification of rarely occurring metabolites
that were structurally unrelated to known molecules, led to the identification
of 18 molecular families worthy of further investigation.In
the absence of other prioritization criteria, context assessment
is a key step for increasing the odds for successful structural characterization.
The metabolic fingerprint of a given strain is usually a complex matrix
in which not all metabolites can be easily purified due to co-occurrence
with structurally unrelated compounds with similar charge, polarity,
and/or size. Obtaining enough compound with reasonable purity can
be a rate-limiting step in natural product discovery that may require
scaling up production and establishing tailor-made purification protocols.[14] To validate our approach, we gave higher priority
to compounds that appeared easy to purify on the basis of the crowdedness
of the relevant portion of the reversed-phase chromatogram. Furthermore,
in the absence of coeluting compounds, it is possible to unambiguously
assign a UV–vis absorption spectrum to the metabolite of interest,
which facilitates compound detection during purification. Manual inspection
of raw data resulted in prioritization of just two molecular families
from two strains.Finally, to be able to carry out compound
characterization using
the natural host, it is critical to evaluate the production stability
before deciding on which compound to pursue. The metabolites that
were produced across experiments (biological replicates with different
preparation of the same cultivation medium) were believed to be the
result of a robust production process. Both molecular families prioritized
in the previous step were present across experiments, representing
good starting points for natural products discovery.
Isolation
and Structure Elucidation of N-Acetyl-Cysteinylated
Streptophenazines
The metabolites characterized in this paper
were obtained from Streptomyces strain ID63040. Using
LC-MS, we detected two main congeners in the lipophilic part of the
chromatogram: m/z 584.2430 [M +
H]+ (1) and 570.2277 [M + H]+ (2). Upon fragmentation, we observed neutral losses of 131.0036
Da (for 1) and 131.0042 Da (for 2), corresponding
to C4H5NO2S (calculated 131.0041
Da), thus establishing the presence of sulfur (Supporting Information Table S1). The calculated molecular
formulas for 1 and 2, corresponding to the
observed m/z 584.2430 (calculated
584.2430) and observed m/z 570.2277
(calculated 570.2274) [M + H]+, were hence C30H35N3O7S and C29H37N3O7S, respectively.According
to the available records, strain ID63040 was isolated from a soil
sample collected near Ziniare, Burkina Faso, on June 6, 1992. Based
on its 16S rRNA gene sequence the closest relative is Streptomyces
cellostaticus NBRC 12849, with a sequence identity of 99.44%.
Analysis by autoMLST confirmed the taxonomic assignment (data not
shown).Strain ID63040 was grown in 2.5 L of liquid production
medium for
3 days. The culture broth was filtered through Whatman paper followed
by EtOH extraction of the mycelial cake and MPLC fractionation, yielding
3.8 mg of 1 as a yellowish-brown, amorphous solid, with
UV–vis maxima at 252 and 366 nm (Supporting Information Figure S1).NMR analysis of 1 in acetone-d6 established the presence
of an N-acetylated
cysteine residue (Table ). Moreover, the characteristic UV spectrum and the presence of numerous
aromatic carbons with chemical shifts around 141 and 143 ppm suggested
that 1 contains a phenazine core. Three hydrogens were
detected in each of the aromatic rings. One of the remaining carbons
was clearly connected to a carboxylic ester. Additionally, we detected
three discrete spin systems: a branched aliphatic chain, one free
carboxylic acid, and an additional carboxylic ester (Table ). The presence of esters was
also supported by the indicative carboxyl absorption bands at 1690
cm–1 in the IR spectrum (Figure S28).
Table 1
Assignments for Compounds 1 and 2 (1H 300 MHz, 13C 75 MHz)
1
2a
acetone-d6 at 300 K
DMSO-d6 at 350 K
acetone-d6 at 300 K
position
δC, type
δH, mult. (J in Hz)
δC, type
δH, mult. (J in Hz)
δC, type
δH, mult. (J in Hz)
1
132, C
132, C
132, C
2
131.3, CH
8.24, dd
(6.9, 1.4)
131.8, CH
8.22, d (6.8)
131.3, CH
8.24, dd (6.8, 1.3)
3
129.7, CH
8.03, m
130.3, CH
8.03, m
129.7, CH
8.03, m
4
133.1, CH
8.57, d (8.9)
133.2, CH
8.42, d (8.6)
133.1, CH
8.57, d
(8.7)
4a
142, C
141.5, C
142, C
5a
141, C
140, C
141, C
6
132, C
132, C
132, C
7
129.8, CH
8.07, m
130.3, CH
8.07, m
129.8, CH
8.07, m
8
131.2, CH
8.03, m
131.7, CH
7.99, m
131.2, CH
8.03, m
9
129, CH
8.19, dd (8.5,
1.6)
129.2, CH
8.14, dd (8.5, 1.6)
129, CH
8.19, dd (8.5, 1.5)
9a
143, C
143.3,
C
143, C
10a
141, C
141.5,
C
141, C
1′
not detected
5.64, s
45.9, CH
5.42, bd (10)
not detected
5.64, s
2′
51,
CH
3.5, m
51.1, CH
3.46,
m
51, CH
3.5, m
3′a
31.4, CH2
1.5,
m
31.3, CH2
1.45, m
31.4, CH2
1.5, m
3′b
31.4, CH2
1.2, m
31.3, CH2
1.2, m
31.4, CH2
1.2, m
4′
29.2, CH2
1.34, m
24.3, CH2
1.12, m
26.9, CH2
1.18, m
5′
26.9, CH2
1.18, m
26.9, CH2
1.11, m
38.2, CH2
0.9, m
6′
38.2, CH2
0.9, m
38.3, CH2
0.86, m
27.3, CH
1.26, m
7′
27.3, CH
1.26, m
27.5, CH2
1.26, m
21.8, CH3
0.67, d (6.6)
8′
21.8, CH3
0.67, d (6.7)
22.7,
CH3
0.65, d (6.6)
21.8, CH3
0.67, d (6.6)
9′
21.8, CH3
0.67, d (6.7)
22.7, CH3
0.65, d (6.6)
1-COOMe
51.8, CH3
4.04,
s
52.7, CH3
4.02, s
51.8, CH3
4.04, s
1-COOMe
166.8, C
167.1, C
166.8, C
2′-COOMe
51.2, CH3
3.81, bs
51.7, CH3
3.7, s
51.2, CH3
3.81, bs
2′-COOMe
175, C
174.5, C
175, C
1″
171.1, C
172.1, C
171.1,
C
2″
52.2, CH
4.8, m
52.3, CH
4.37, m
52.2, CH
4.8, m
3″
33.5, CH2
2.96, dd (13.9, 4,5)
34.2, CH2
2.82, dd (13.1, 6.1)
33.5, CH2
2.96, dd (13.9, 4,7)
2.84, dd (13.9, 4,5)
2.7, dd (13.1,
8.1)
2.84, dd (13.9, 4,7)
4″(NH)
7.4, bm
7.73, bd (8.04)
7.4
5″
169.2, C
169.3, C
169.2,
C
6″
22, CH3
2.05
22.7, CH3
1.8, s
22, CH3
2.05
13C NMR shifts were obtained
indirectly from HSQC and HMBC experiments.
13C NMR shifts were obtained
indirectly from HSQC and HMBC experiments.The number of methyl esters was confirmed by basic
hydrolysis with
NaOH, revealing one readily hydrolyzed methyl ester (5 min at room
temperature) and a second that required overnight incubation (Figure S2). NMR analysis of the hydrolysis mixture
showed rapid disappearance of the 1H signal at 4.04 ppm
associated with 13C at 51.8 ppm and possessing an HMBC
correlation with the aromatic H-2, indicating that the readily hydrolyzed
methyl ester was in the phenazine portion. A similar behavior has
been reported that allowed transformation of streptophenazine A into
C.[15] The existence of a free carboxyl group
was confirmed by both amidation with ethylenediamine and esterification
with MeOH (Figure S3). MS2 fragmentation
of these derivatives confirmed that modifications were introduced
into the N-acetyl-cysteine moiety, indicating that
the free carboxylic group is located on this moiety (Figure S3).However, the NMR experiment described above
was not sufficient
to fully resolve the structure of 1, as no correlations
among the different spin systems were detected in the 2D TOCSY and
HMBC experiments. Moreover, out of the 30 carbons from the calculated
molecular formula of 1, one was missing in the NMR spectra
and another had a very low intensity. It has been reported that rigid
environments can result in missing NMR hydrogen and carbon signals,
which can be observed by acquiring the spectrum at higher temperature.[16] If sulfur was directly linked to one of the
missing carbons, it might hamper molecular mobility and lead to missing
NMR signals. Thus, we reanalyzed 1 dissolved in DMSO-d6 with spectra acquired at stepwise increased
temperatures up to 77 °C/350 K. Experiments at 350 K allowed
observation of the missing proton H-1′ at 5.62 ppm and of the
corresponding carbon at 45.9 ppm. These values agree with a thioether
substituent at C-1′, the presence of which was confirmed by
the NOESY correlation between H-2″ and H1′. Finally,
the now visible COSY correlations among protons H-1′, -2′,
and -3′, together with NOESY correlations between the aromatic
proton H-7 and H-1′ and -2′, established that the alkyl
chain was in the same position as in known members of the streptophenazine
family (Figures S4–S23). Overall, 1 turned out to be identical to streptophenazine F, except
for the OH at C-1′ being replaced by an N-acetyl-cysteine
moiety linked through a thioether bond.The absolute configuration
of the C-1′ stereocenter was
established by measuring the electronic circular dichroism (ECD) of
compound 1. As C-1′ is directly adjacent to the
strong phenazine chromophore, the C-1′ configuration is expected
to have a major effect on the ECD curve. The presence of a negative
Cotton effect at 260 nm indicated an S configuration
of the C-1′ stereocenter (Figure S24), as in the hydroxylated streptophenazines. The relative configuration
of C-1′ and C-2′ was deduced from the 3J
NMR coupling constant between H-1′ and H-2′, as described
for similar compounds.[17] For compound 1, the H-1′ signal was missing at room temperature
(300 K), but it became a broad doublet with a H-1′–H-2′
coupling constant of 10 Hz when the spectrum was recorded at 350 K.
The corresponding coupling constant values described in the literature
range from 7.5 to 7.8 Hz for erythro (S,R/R,S) to 6.5 Hz for threo (S,S/R,R) configurations.[17] Assuming the presence
of sulfur does not affect the coupling constant, the observed value
is closer to those for erythro configurations, with the substituents
at C-1′ and C-2′ on opposite sides. Thus, the configuration
of 1 was established to be C-1′S, C-2′ S as in other streptophenazines. As
discussed below, the cysteine moiety can be assumed to be in the l configuration.The structure of 2 was deduced
from its MS2 fragmentation and NMR fingerprint from a sample
purified from a
5 L culture as described in the Experimental Section. MS fragmentation data suggested a structure like that of 1 with an aliphatic chain shorter by a methylene unit (14
Da), thus representing a derivative of streptophenazine A in which
an N-acetyl-cysteine linked through a thioether bond
replaces the OH at C-1′. The NMR fingerprint of 1 is superimposable to that of 2 (Table ), except for the expected missing signals
in the aliphatic chain, but featuring the same branched aliphatic
chain.In conclusion, 1 and 2 were
established
to be streptophenazines with an N-acetylated cysteine
attached to C-1′ of the alkyl chain via a thioether bridge
as shown in Figure . It should be noted that the nomenclature of streptophenazines suffers
from some double booking, as identical names have been assigned multiple
times to different metabolites[13,17−21] (Table S2). For this reason, we prefer
to name the compounds reported herein as 1′-(N-acetycysteinyl)-1′-deoxystreptophenazines A and F.
Figure 2
Left: Selected
NMR correlations for compound 1. Right:
Structures of compounds 1 and 2.
Left: Selected
NMR correlations for compound 1. Right:
Structures of compounds 1 and 2.
Bioactivity and Cytotoxicity Testing
The aim of this
study was to find novel antimicrobials using a bioactivity-independent
approach. Indeed, compound 1 was found to suppress growth
of Streptococcus pneumoniae and of Staphylococcus
aureus with MICs of 12 and 43 μM, respectively (Figure ). Minimal activity
was also observed against Micrococcus luteus (68
μM), Escherichia coli ΔtolC (291 μM), Pseudomonas aeruginosa, and Enterococcus faecium (428 μM). Compound 1 was not cytotoxic to CaCo-2
and HEK cells (IC50’s of 154 and >220 μM
at
24 h for CaCo-2 and HEK cells, respectively; Figure S25).
Figure 3
Antibacterial activity of compound 1. Percentage
of
growth at 10 h in the presence of 1. E. coli L4242 is a ΔtolC derivative of strain M1522.
Note log scale on the x axis.
Antibacterial activity of compound 1. Percentage
of
growth at 10 h in the presence of 1. E. coli L4242 is a ΔtolC derivative of strain M1522.
Note log scale on the x axis.Bioactivity of the putative precursors streptophenazines A and
F has been addressed in previous studies on different targets.[13,15,18,19]
Biosynthetic Gene Cluster
Once 1 and 2 were known to belong to the streptophenazine class, we readily
identified the BGC responsible for their formation from a draft genome
of strain ID63040 with antiSMASH[22] version
6.0 equipped with the MIBiG comparison tool.[23]Figure presents
a comparison between the BGC in strain ID63040 and two reference clusters
that contain sets of similar genes: one for streptophenazines, from
the marine Streptomyces sp. CNB-091,[13] and one for lomofungin, from Streptomyces lomondensis S015.[24,25] The two streptophenazine BGCs are highly
syntenic, sharing genes in similar order and orientation, apart from
two insertions in the ID63040 BGC: a three-gene cassette, which is
however present in the lomofungin BGC; and a regulator (yellow gene
marked with an asterisk in Figure ; see below). The three-gene cassette, which encodes
for S-adenosylmethionine (SAM) synthetase, PfkB domain
protein, and methylenetetrahydrofolate reductase, is likely involved
in the cofactor regeneration for the SAM-dependent methyltransferase.
A methyltransferase is present in all three BGCs of Figure and is likely responsible
for installing the methyl ester(s) on these molecules.
Figure 4
Comparison of streptophenazine
BGC from strain ID63040 (middle)
with reference streptophenazine BGC (top) from strain CNB091 and with
lomofungin BGC from Streptomyces lomondensis S015
(bottom). The colors indicate similar genes. The asterisk marks a
regulatory gene that is not found in reference clusters.
Comparison of streptophenazine
BGC from strain ID63040 (middle)
with reference streptophenazine BGC (top) from strain CNB091 and with
lomofungin BGC from Streptomyces lomondensis S015
(bottom). The colors indicate similar genes. The asterisk marks a
regulatory gene that is not found in reference clusters.The regulatory gene embedded in the ID63040 BGC (locus tag
ctg1_5)
precedes the six-gene cassette responsible for synthesis of the phenazine
core. While a homologue of this gene is present in the strain CNB-091,
it is instead located four genes downstream from the left end of the
CNB-091 streptophenazine BGC, in a closely linked BGC for the biosynthesis
of mayamycin, a structurally unrelated aromatic polyketide (Figure S26). Interestingly, two precedents exist
of (strepto)phenazine BGCs prioritized for heterologous expression,
yet production was achieved only if the clusters were refactored by
inserting strong promoters in front of the phenazine gene cassette,[13,26] the exact same position where the regulatory gene naturally lies
in the ID63040 BGC. This regulator shows 68% identity to JadR1, an
activator of the jadomycin BGC and member of the OmpR family, referred
to as “atypical response regulators”.[27] Interestingly, JadR1 has been shown to respond to late
products in the jadomycin pathway.[28] Thus,
a possibility exists that ctg1_5 could be responsible for constitutive
production of streptophenazines in strain ID63040.We then wondered
about the co-occurrence of ctg1_5 in streptophenazine
BGCs in genomic sequences. We searched the antiSMASH-DB[28] with KnownClusterBlast for BGCs matching both
the phenazine and the PKS portion of the streptophenazine BGC BGC0002010
and detected four BGCs containing both the phenazine gene cassette
and the PKS portion, indicative of a streptophenazine BGC, out of
a data set of 561 Streptomycetales genomes. In only
one case was a ctg1_5 homologue embedded in the streptophenazine BGC,
while in three other cases it was associated with a closely linked
mayamycin BGC (Figure S26). Without associated
metabolomics data, we can only speculate that the strain carrying
the ctg1_5 homologue within the streptophenazine BGC might not require
refactoring for streptophenazine production.During their extensive
analysis of streptophenazine metabolites
from the native host and after introducing a refactored BGC into Streptomyces coelicolor M1146, Bauman et al. observed streptophenazines
A, F, and G as main congeners.[13] Upon close
inspection of their data, we found that the strain carrying the refactored
BGC also produced small amounts of compounds with m/z of 584.2413 and 570.2228 [M + H]+,
which are consistent with 1 and 2, respectively.
Indeed, when the fragmentation patterns of the metabolites in both
data sets were analyzed with the MASST tool,[29] both 1 and 2 were found in data sets associated
with results published by Bauman et al.[13] with a cosine score of 0.78 and 0.74 for m/z 570.1783 and 584.1971, respectively (Table S3).It should be noted that Bauman et al. characterized N-formyl-glycine esters at the C-1′ OH of streptophenazines
A and B as minor components of the complex. Thus, position C-1′
can undergo different modifications requiring different mechanisms
in different strains: esterification of the hydroxy group as reported
by Bauman et al. and thioether formation in the present case. Interestingly,
Bauman et al. observed that knocking out the gene Spz15 impaired the
formation of the N-formyl-glycinated product. However,
we doubt that the Spz15 homologue present in the ID63040 BGC is making
the thioether bond observed in 1 and 2 (see
below).
Congener Abundance Dynamics
Since compounds 1 and 2 are structurally related to streptophenazines
F and A, respectively, we investigated whether the latter compounds
could also be detected. Indeed, by close inspection of extracts from
strain ID63040, we observed m/z [M
+ H]+ values of 439 (F) and 425 (A), which showed similar
fragmentation patterns to 1 and 2, respectively,
and superimposable UV spectra (Figure S1). Using the Moldiscovery workflow on GNPS, we confirmed the presence
of streptophenazines A and F, as well as congeners B, C, D, E, G,
K, N, and O (data not shown). Of note, none of these molecules clustered
into the same molecular family as 1 and 2 in molecular networks calculated on GNPS.To determine the
relative abundances of the different streptophenazine congeners in
the mycelium extracts, we used UV measurements. Unlike the intensities
of the m/z peaks that may depend
strongly on ionization efficiency, dimerization, charges per molecule,
and adduct formation, UV measurements enable reliable quantification
of target compounds that share a common chromophore, i.e., the phenazine
ring. In Figure ,
we report the peak heights at 252 nm associated with each m/z value. Compounds 1 and 2 were the prevalent congeners at 24 h, when A and F are hardly
detectable. Only at 72 h did streptophenazine F become comparable
in concentration to 1 and 2. Thus, during
exponential growth Streptomyces sp. ID63040 produced 1 and 2 as the main components of the streptophenazine
complex, while streptophenazines A and F became significant metabolites
only when the strain enters a stationary phase. To make sure this
was not a peculiarity of our test system, we explored congener ratios
in four different media: INA5, G1/0, SV2, and M8.[4] In all media where we observed production, N-acetyl-cysteinylated variants were the most abundant forms (Figure S27), in line with our observations for
production medium of compounds 1 and 2.
Figure 5
Abundances
of 1′-(N-acetycysteinyl)-1′-deoxystreptophenazines
A and F (greens) and streptophenazines A and F (blues) at 24, 48,
and 72 h. Results are expressed as the average of five biological
replicates run in parallel (500 mL of M8 medium).
Abundances
of 1′-(N-acetycysteinyl)-1′-deoxystreptophenazines
A and F (greens) and streptophenazines A and F (blues) at 24, 48,
and 72 h. Results are expressed as the average of five biological
replicates run in parallel (500 mL of M8 medium).
On the Possible Role of Streptophenazines
Phenazine
is a moiety present in many known chemicals, both of synthetic and
natural origin.[30] The properties of the
phenazine scaffold depend on pH, making it fit for a variety of tasks
within and between microbial cells, ranging from carrying out redox
functions and modulating gene expression to acting as signaling molecules
and inhibiting growth of competitors.[31] Various mechanisms of action have been associated with phenazine
antibiotics; for example, myxin has been shown to intercalate with
DNA, lomofungin inhibits RNA synthesis, and pyocyanine provokes oxidative
damage.[32] The best-known producers of naturally
occurring phenazines are pseudomonads and streptomycetes,[32] the latter group featuring also their own special
group of phenazine-derived metabolites named streptophenazines, which
consist of an aliphatic tail added to the phenazine core by a polyketide
synthase.Previously, other phenazine natural products have
been described carrying an N-acetyl-cysteine moiety
attached through a thioether bridge to the aromatic core: examples
are yorophenazine,[33] SB 212305,[34] and dermacozine J[35] (Chart ). Of note,
all these molecules are devoid of the polyketide tail.
Chart 1
Structures
of Yorophenazine, SB212305, and Dermacozine J[33−35]
An N-acetyl-cysteine moiety has also been
reported
in several nonphenazine natural products,[36−41] and it has been hypothesized to result from mycothiol addition,
a compound present in many actinobacteria, where it is used to maintain
cellular redox balance, to serve as a pool of stabilized cysteine,
and, in analogy to glutathione, to detoxify xenobiotics.[42−44] The mechanism of detoxification involves S-conjugation
to the target molecule, followed by cleavage of the amide bond linking N-acetyl-cysteine to glucosamine in mycothiol. There are
precedents for metabolites that have been shown or hypothesized to
gain the N-acetyl-cysteine moiety from mycothiol:
one such example is nanaomycin,[45] for which
the authors described both the N-acetyl-cysteinylated
and mycothiolated forms of the pyronaphthoquinone core. Thus, it is
tempting to speculate that 1 and 2 are formed
by such a mechanism.While only few reports exist on the in vivo kinetics
of N-acetyl-cysteine adduct(s) formation, this appears
to be a slow process: for example, the mercapturic acid of granactin
A appeared in cultures of S. violaceruber TÜ7
only after 9 days, coinciding with the disappearance of native granactin
A.[43] By contrast, the cysteinylated products
were the prevalent form during active growth of ID63040. A possible
explanation of our findings might be that in strain ID63040 streptophenazines
participate in an important redox function and, in doing so, are transformed
into a toxic form that is readily neutralized by conjugation with
mycothiol. It could be that as exponential growth slows or ceases,
the role of streptophenazines in redox function decreases and congeners
devoid of the N-acetyl-cysteine moiety (i.e., the
true end product of the biosynthetic pathway) start to accumulate.
If this hypothesis is correct, it would imply that streptophenazines
in strain ID63040 play a role akin to primary metabolites and hence
their constitutive production through a BGC-embedded regulator. However,
further experimental work would be necessary to validate these propositions.
Of note, Price-Whelan et al.[31] have previously
stated that “phenazines blur the line between primary and secondary
metabolism”.
Conclusions
In summary, we have
described two N-acetyl-cysteinylated
streptophenazines with antibacterial activity identified through a
metabolomics-first approach. Thus, it is possible to discover metabolites
with antibacterial activity through a bioactivity-independent approach,
even from a relatively small number of Streptomyces strains, a genus that has been intensively exploited for secondary
metabolites, yet found to be by far the richest in terms of BGC diversity.[47] The prioritization criteria described herein
represent just one such strategy, but we are confident that additional
new chemistry has been overlooked by our prioritization criteria,
leaving room for further studies.Our results also point out
the importance of the host in shaping
the final metabolite profile. While it is well known that many BGCs
are not expressed under laboratory conditions,[46,47] BGC-specified metabolites can also undergo further spontaneous or
enzymatic modifications as they are exposed to the cellular milieu.[45,48,49] The crosstalk between primary
and secondary metabolism pathways has recently yielded new members
even for one of the oldest known families of antibiotics,[49] underlining the somewhat arbitrary distinction
between the two.
Experimental Section
General
Experimental Procedures
ECD spectra were obtained
on a J-815 spectropolarimeter (JASCO). IR spectra were recorded with
a Varian 670-IR. 1H and 13C 1D and 2D NMR spectra
(COSY, TOCSY, NOESY, HSQC, HMBC) were measured in DMSO-d6 and acetone-d6 at the indicated
temperature using a Bruker Advance II 300 MHz spectrometer (1H NMR 300 MHz, 13C NMR 75 MHz). The 1D 13C
NMR spectrum for compound 1 was measured in DMSO-d6 at 300–350 K using a Bruker Avance
III 600 spectrometer (1H NMR 600 MHz, 13C NMR
150 MHz). Chemical shifts were referenced relative to the corresponding
signals (δH 2.05/δC 29.8 for acetone-d6; δH 2.50/δC 39.50 for DMSO-d6).LC-MS/MS analyses
were performed on a Dionex UltiMate 3000 HPLC system coupled with
an LCQ Fleet (Thermo Scientific) mass spectrometer equipped with an
electrospray interface (ESI) and a tridimensional ion trap. The column
was an Atlantis T3 C-18 5 μm × 4.6 mm × 50 mm maintained
at 40 °C at a flow rate of 0.8 mL/min. Phase A was 0.05% trifluoroacetic
acid (TFA); phase B was 100% MeCN. The elution was executed with a
14 min multistep program that consisted of 10%, 10%, 95%, 95%, 10%,
and 10% phase B at 0, 1, 7, 12, 12.5, and 14 min, respectively. UV–vis
signals (190–600 nm) were acquired using the diode array detector.
The m/z range was 110–2000,
and the ESI conditions were as follows: spray voltage of 3500 V, capillary
temperature of 275 °C, sheath gas flow rate at 35 units, and
auxiliary gas flow rate at 15 units.High-resolution MS spectra
were recorded at Unitech OMICs (University
of Milano, Italy) using a Dionex Ultimate 3000 HPLC system coupled
with a Triple TOF 6600 (Sciex) equipped with an ESI source. The experiments
were carried out using the same column and eluting system as described
above. The ESI parameters were the following: curtain gas 25 units,
ion spray voltage floating 5500 V, temperature 50 °C, ion source
gas 1 10 units, ion source gas 2 0 units, declustering potential 80
V, syringe flow rate 10 μL/min, accumulation time 1 s.
Production
and Purification of Streptophenazines
For
production of 1, 1.5 mL of the −80 °C stock
culture was inoculated into 100 mL of AF medium (dextrose monohydrate
20 g L–1, yeast extract 2 g L–1, soybean meal 8 g L–1, NaCl 1 g L–1, and CaCO3 3 g L–1, pH 7.3, prior to
autoclaving[4]) in two 300 mL baffled flasks
and grown for 3 days at 30 °C at 200 rpm. AF culture (30 mL)
was transferred into five 2 L flasks with four baffles containing
500 mL of M8 medium (dextrose monohydrate 10 g L–1, yeast extract 2 g L–1, meat extract 4 g L–1, soluble starch 20 g L–1, casein
4 g L–1, and CaCO3 3 g L–1, pH 7.2, prior to autoclaving).[4] The
culture was harvested at 72 h and filtered through Whatman paper,
and the mycelium was extracted with 430 mL of 100% EtOH by shaking
for 1 h at 30 °C. The extract (ca. 500 mL) was filtered through
Whatman paper and through a 0.2 μm syringe filter and dried
with a rotary evaporator, yielding 19.2 g of solids.For production
of 2, 0.75 mL of frozen culture was inoculated into 50
mL baffled Erlenmeyer flasks containing 10 mL of medium AF. After
72 h at 30 °C on an orbital shaker at 200 rpm, 5 mL of the culture
was transferred into each of six baffled 500 mL Erlenmeyer flasks
containing 150 mL of fresh AF medium. After another 72 h at 30 °C,
500 mL of culture was used to inoculate a 5 L fermenter (New Brunswick,
BioFlo/CelliGen 115) containing 4.5 L of medium M8 supplemented with
0.5 mL/L polypropylene glycol (Sigma) as antifoaming agent. The fermenter
was operated under the following parameters: agitation 400 rpm, temperature
30 °C, air flow 5 mL/min. The culture was harvested at 48 h and
filtered through Whatman paper, and the resulting 1.2 L of mycelium
was extracted with 1 L of 100% EtOH by shaking overnight at room temperature.
The extract (ca. 1.3 L) was filtered three times through Whatman paper
and dried with a rotary evaporator, yielding 36.3 g of solids.After drying, the residues were dissolved in 50% dimethylformamide
(DMF) and fractionated separately using a TeledyneISCO CombiFlash
MPLC mounted with a Biotage SNAP Ultra C18 25 μm
60 g column with detection at 252 nm. Phases A and B were 0.05% TFA
and MeCN, respectively. The gradient used was 5%, 5%, 60%, 95%, and
95% phase B at 0, 5, 10, 30, and 35 min, respectively. Throughout
the purification procedure, the presence of 1 and 2 was monitored by LC-MS. For structure elucidation, we used
a 3.8 mg sample of 1 and a 5.2 mg sample of 2. Typical yields of 1 and 2 were 2–5
mg from 1 L of culture.
1′-(N-acetycysteinyl)-1′-deoxystreptophenazine
A (1):
yellowish-brown amorphous solid; UV–vis
(MeCN, c 0.01 mg/mL) λmax (log ε)
206 (4.8), 253 (4,2), 366 (3.5) nm; ECD (1.9 mmol/L, MeOH) λmax (Δε) −0.5 (265), + 2.5 (245), −1
(230) nm; IR (neat) (νmax) 3300, 2950, 2850, 1750,
1650, 1530, 1450, 1250, 1200, 1100 cm–1; ECD and
IR spectra see Figures S25 and S2; NMR
data, Table ; HRESIMS m/z 584.2430 [M + H]+ (calcd
for C30H35N3O7S, 584.2430).
1′-(N-acetycysteinyl)-1′-deoxystreptophenazine
F (2):
The number of free carboxyl
groups in 1 and 2 was established by methylation
and amidation reactions. For derivatization
reactions, we dried aliquots of the MPLC fraction, each containing
0.5 mg of a mixture of 1 and 2. All the
reactions were followed by HPLC-LRMS. For methylation, compounds 1 and 2 were dissolved in 50 μL of MeOH
and treated with 2 μL of H2SO4 at room
temperature. For amidation, compounds 1 and 2 were dissolved in 100 μL of dry DMF and treated with 2 μL
of ethylene diamine diluted 1:50 in dry DMF in the presence of a few
crystals of HATU (1-[bis(dimethylamino)methylene]-1H-1,2,3-triazolo[4,5-b]pyridinium 3-oxide hexafluorophosphate).The number of methyl esters was confirmed by basic hydrolysis.
Compounds 1 and 2 were treated with 2 N
NaOH at room temperature, and the reaction mixture was analyzed by
LC-MS prior to and at 5 min, 1 h, and 24 h after NaOH addition.
Bioassays
The antibacterial activity of compound 1 was determined against strains from the NAICONS collection
of bacterial pathogens as follows: 90 μL of a 1 × 105 CFU/mL bacterial suspension in the appropriate medium was
dispensed into each well of a 96-well plate containing 10 μL
of compound 1, dissolved at 428 μM in 2.5% DMSO,
and serially diluted 1:2 with 2.5% DMSO. The medium was cation-adjusted
MHB for all strains except for S. pneumoniae, for
which THB was used. Plates were incubated in a Synergy 2 (Biotek)
microplate reader with readings at 595 nm registered every hour.For cytotoxicity assays, HEK 293 cells and CaCo-2 cells were cultured
in DMEM/F-12 and DMEM (Gibco), respectively, supplemented with 10%
fetal calf serum (FCS) and a 1% penicillin–streptomycin mixture
(Gibco) at 37 °C and 5% CO2. Cells were seeded in
96-well plates at a concentration of 1 × 105 cells
per well, and the outer wells were filled with PBS to avoid disturbances
due to evaporation. After 24 h of incubation, cells were confluent.
Twofold dilutions of the compounds were made in a range of 214–6.7
μM, in exposure medium. The exposure medium consisted of DMEM
without phenol red (Gibco), without supplementation with FCS or antibiotics.
The growth medium from the plates was aspirated and replaced with
100 μL of exposure medium containing different concentrations
of the compounds. Three wells were used as a medium control, three
as vehicle control (1% DMSO), and three as positive control for toxicity
(20% DMSO). After 24 h of exposure, cytotoxicity was measured using
the Alamar Blue assay (Thermo Fisher Scientific) by adding 10 μL
of reagent per well, incubating 1 h at 37 °C 5% CO2, and measuring fluorescence (λEX = 540 nm, λEM = 590 nm) on a SpectraMax M5 (Molecular Devices). The IC50 was calculated using GraphPhad Prism 9 using a nonlinear
regression analysis: log(inhibitor) vs response – variable
slope (four parameters) without constraints.
Bioinformatic Analyses
From a draft genome sequence
of Streptomyces strain ID63040, obtained using both
Illumina short read sequencing and Oxford Nanopore Technologies long
read sequencing and consisting of 11 contigs with a total length of
8 915 670 bp (K.V. and V.W, unpublished), BGCs were
identified using the antiSMASH version 6.0 online tool.[23] To search for the occurrence of homologues of
the regulator ctg1_5 in streptophenazine BGCs, we searched the antiSMASH-DB[28] with KnownClusterBlast for BGCs matching both
the phenazine and the PKS portion of the streptophenazine BGC BGC0002010.
BGC alignments were visualized with Clinker.[50] The streptophenazine BGC from Streptomyces strain
ID63040 was deposited to GenBank with accession no. OL619055.The 16S rRNA gene sequence (GenBank accession no. OL423644) was
determined and analyzed as described.[51]
Authors: Katherine D Bauman; Jie Li; Kazuya Murata; Simone M Mantovani; Samira Dahesh; Victor Nizet; Hanna Luhavaya; Bradley S Moore Journal: Cell Chem Biol Date: 2019-03-07 Impact factor: 8.116
Authors: Jonny Nachtigall; Kathrin Schneider; Christina Bruntner; Alan T Bull; Michael Goodfellow; Heidi Zinecker; Johannes F Imhoff; Graeme Nicholson; Elisabeth Irran; Roderich D Süssmuth; Hans-Peter Fiedler Journal: J Antibiot (Tokyo) Date: 2011-04-20 Impact factor: 2.649
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