Increasing evidence has shown that small-molecule chemistry in microbes (i.e., secondary metabolism) can modulate the microbe-host response in infection and pathogenicity. The bacterial disease melioidosis is conferred by the highly virulent, antibiotic-resistant pathogen Burkholderia pseudomallei (BP). Whereas some macromolecular structures have been shown to influence BP virulence (e.g., secretion systems, cellular capsule, pili), the role of the large cryptic secondary metabolome encoded within its genome has been largely unexplored for its importance to virulence. Herein we demonstrate that BP-encoded small-molecule biosynthesis is indispensible for in vivo BP pathogenicity. Promoter exchange experiments were used to induce high-level molecule production from two gene clusters (MPN and SYR) found to be essential for in vivo virulence. NMR structural characterization of these metabolites identified a new class of lipopeptide biosurfactants/biofilm modulators (the malleipeptins) and syrbactin-type proteasome inhibitors, both of which represent overlooked small-molecule virulence factors for BP. Disruption of Burkholderia virulence by inhibiting the biosynthesis of these small-molecule biosynthetic pathways may prove to be an effective strategy for developing novel melioidosis-specific therapeutics.
Increasing evidence has shown that small-molecule chemistry in microbes (i.e., secondary metabolism) can modulate the microbe-host response in infection and pathogenicity. The bacterial disease melioidosis is conferred by the highly virulent, antibiotic-resistant pathogen Burkholderia pseudomallei (BP). Whereas some macromolecular structures have been shown to influence BP virulence (e.g., secretion systems, cellular capsule, pili), the role of the large cryptic secondary metabolome encoded within its genome has been largely unexplored for its importance to virulence. Herein we demonstrate that BP-encoded small-molecule biosynthesis is indispensible for in vivo BP pathogenicity. Promoter exchange experiments were used to induce high-level molecule production from two gene clusters (MPN and SYR) found to be essential for in vivo virulence. NMR structural characterization of these metabolites identified a new class of lipopeptide biosurfactants/biofilm modulators (the malleipeptins) and syrbactin-type proteasome inhibitors, both of which represent overlooked small-molecule virulence factors for BP. Disruption of Burkholderia virulence by inhibiting the biosynthesis of these small-molecule biosynthetic pathways may prove to be an effective strategy for developing novel melioidosis-specific therapeutics.
Burkholderia
pseudomallei (BP) is the causative agent
for the bacterial septic disease melioidosis.
Melioidosis is endemic throughout the tropical Southeast Pacific region
and is considered a growing global health threat.[1]BP, an environmental saphrophyte
by nature, is intrinsically resistant to multiple antibiotics due
to factors including drug inactivation (e.g., β-lactamase activity),
a multidrug efflux pump system, and an adaptive physiology that can
alter drug target sites throughout disease progression.[2] As a result, mortality rates from melioidosis
can approach ∼50% even with antibiotic treatment.[3] Despite increased scrutiny in recent years, the
mechanisms by which BP can establish and propagate
an infection have remained unclear. Bioinformatics analyses of BP and its genetic relatives Burkholderia mallei (BM) and Burkholderia thailandensis (BT) indicate that substantial parts of their genomes
are dedicated to polyketide (PK)- and non-ribosomal peptide (NRP)-based
secondary metabolism,[4−6] which we have hypothesized could be a key component
of Burkholderia virulence.[7−9] While many of the gene clusters
common to all three species have been studied, clusters that are solely
found within the BP genome have remained uncharacterized,
and to date, the specific roles that secondary metabolism has in establishing
melioidosis have not been evaluated. Herein, we begin the characterization
of the unique secondary metabolome encoded by BP and
show that it is a key factor in melioid virulence. The importance
of these molecules to BP pathogenicity suggests that
inhibition of their biosynthesis could present a viable avenue for
future therapeutic intervention.Cryptic and/or silent small-molecule
biosynthetic gene clusters
are routinely found within sequenced bacterial genomes.[10] While biosynthetic gene clusters encoding molecules
required for bacterial pathogenesis must be produced in vivo during an infectious event, many may remain silent in the laboratory
setting due the lack of appropriate environmental stimuli needed to
induce their activation (Figure 1). Due to
its NIH/CDC Select Agent status, the manipulation of the BP genome for gaining access to silent biosynthesis has been cumbersome.
As BT is generally considered to be avirulent in
most mammalian hosts, it has been used as a convenient surrogate model
to study biosynthesis in pseudomallei-group Burkholderia species.[7−9,11] As much of the BP secondary metabolome has been characterized through BT, neither the identity of the molecules encoded by BP-specific gene clusters nor the potential role these metabolites
might play in virulence was known. Recently, the Schweizer group developed
a BPadenine auxotroph (Bp82) that
has been removed from the Select Agent list due to its inability to
survive outside the laboratory,[12] providing
a strain with the genetic background with which to study cryptic secondary
metabolism of this important pathogen.
Figure 1
Examining the influence
of secondary metabolism on bacterial pathogenicity.
(A) Bacterial pathogens typically produce a limited number of metabolites
under laboratory fermentation conditions, (B) while having the capacity
to produce multiple metabolites within the context of an infection,
which can function as virulence factors. (C) Cryptic/silent gene clusters
can be identified bioinformatically in sequenced pathogen genomes.
Through genome engineering, individual biosynthetic clusters can be
both activated for accessing the encoded molecules and disrupted for
determining their influence on bacterial pathogenicity. (D) Virulence
factor biosynthesis can be targeted for the development of new disease-specific
therapeutics.
Examining the influence
of secondary metabolism on bacterial pathogenicity.
(A) Bacterial pathogens typically produce a limited number of metabolites
under laboratory fermentation conditions, (B) while having the capacity
to produce multiple metabolites within the context of an infection,
which can function as virulence factors. (C) Cryptic/silent gene clusters
can be identified bioinformatically in sequenced pathogen genomes.
Through genome engineering, individual biosynthetic clusters can be
both activated for accessing the encoded molecules and disrupted for
determining their influence on bacterial pathogenicity. (D) Virulence
factor biosynthesis can be targeted for the development of new disease-specific
therapeutics.
Results and Discussion
A comparative genome analysis (Figure 2 and Table S1) of pseudomallei-group Burkholderia
revealed that, although BP, BM,
and BT share many PK/NRP gene clusters, three gene
clusters are unique to BP (Figure 2; clusters 2, 14, and 15), and one cluster (cluster 11) is
shared between BP and BM (but not BT). While extensively truncated versions of clusters 14
and 15 appear in the BM genome, cluster 2 is completely
absent. Gene clusters 2 and 15 are predicted to encode for novel lipopeptides,
cluster 11 is also predicted to encode a novel metabolite but has
a gene organization and content similar to that found in the BT-specific thailandamide biosynthetic cluster,[13] and cluster 14 is predicted to encode a syrbactin-type
structure (see discussion below) (Tables S1 and
S2). We hypothesized that BP-specific cryptic
gene clusters may play an important, and overlooked, role in melioidosis.
To test this hypothesis, we used homologous recombination to delete
the initial biosynthetic domains (detailed in Table S4) within the first either PK or NRP megasynth(et)ase
gene of clusters 2, 11, 14, and 15, thereby creating four strains
with individually disrupted biosynthetic gene clusters. This set of
deletions was created in a fully sequenced clinical isolate, B. pseudomallei1026b (Bp1026b), under strict BSL3 level biocontainment. These gene cluster disruption
strains were then tested for pathogenicity using an intranasal
murineinfection model (Figure 3). Remarkably,
disruption of any of the three gene clusters that are uniquely found
in BP (clusters 2, 14, and 15) completely abrogated Bp1026bmurine virulence, even at titers up to 10 times
the Bp1026b LD50 inoculum. Disruption
of cluster 11, which is shared between BP and BM, led to a strain with virulence that was indistinguishable
from the wild-type strain in the murine model. Each of the three NRP/PK
metabolites encoded solely within the BP genome is
therefore individually essential to the pathogenicity of this bacterium.
Additionally, the growth rates of these three mutants were identical
to that of wild-type Bp1026b (Figure S2), indicating that the disruption of biosynthesis
has no impact on general bacterial fitness. Based on their importance
to BP virulence, we initiated the structural and
functional characterization of the small molecules encoded by this
collection of BP-specific gene clusters. Here we
report on the characterization of two of these gene clusters. The
third cluster (cluster 2), predicted to encode a five-amino-acid lipopeptide
structure, has so far remained recalcitrant to characterization. Future
studies will focus on activating this remaining silent gene cluster
in the laboratory setting.
Figure 2
Comparison of the secondary metabolomes encoded
by B. pseudomallei1026b (BP), B. mallei ATCC 23344 (BM), and B. thailandensis E264 (BT). Positioning of individual NRP- and PK-encoding
gene clusters within each genome is displayed. Clusters shared among
the three species are indicated by the connective lines between genomes
(detailed in Table S1). Genomes are linearized
and arranged for clarity, with the purple arrowhead designating direction
from the first gene in each chromosome (i.e., nucleotide + 1). Clusters
2, 14, and 15 (red) are unique to BP. Cluster 11
(yellow) is shared by BP and BM but
absent in BT. Genes dedicated to NRP/PK-based secondary
metabolism encompass approximately 6% of the BP genome.
Figure 3
21-day murine intranasal infection challenge
of wild-type BP and the disruption mutants of biosynthetic
clusters 2,
11, 14, and 15. The number of surviving mice is charted over time.
Inoculum: 105 (106 for cluster 15) colony-forming
units.
Comparison of the secondary metabolomes encoded
by B. pseudomallei1026b (BP), B. mallei ATCC 23344 (BM), and B. thailandensis E264 (BT). Positioning of individual NRP- and PK-encoding
gene clusters within each genome is displayed. Clusters shared among
the three species are indicated by the connective lines between genomes
(detailed in Table S1). Genomes are linearized
and arranged for clarity, with the purple arrowhead designating direction
from the first gene in each chromosome (i.e., nucleotide + 1). Clusters
2, 14, and 15 (red) are unique to BP. Cluster 11
(yellow) is shared by BP and BM but
absent in BT. Genes dedicated to NRP/PK-based secondary
metabolism encompass approximately 6% of the BP genome.21-day murine intranasal infection challenge
of wild-type BP and the disruption mutants of biosynthetic
clusters 2,
11, 14, and 15. The number of surviving mice is charted over time.
Inoculum: 105 (106 for cluster 15) colony-forming
units.In previous work with BT, we developed a promoter-replacement
strategy for up-regulating or activating secondary metabolite gene
clusters in Burkholderia.[9] In this approach,
the rhamnose-inducible promoter PRhaB is inserted directly
upstream of a key operon in a gene cluster of interest, providing
a conditional switch that activates or represses biosynthesis in the
presence or absence of rhamnose, respectively. To investigate cryptic
virulence-associated secondary metabolism in BP,
we created PRhaB recombination cassettes targeting the
promoters upstream of the most biosynthetic-rich operons found in
each gene cluster of interest (i.e., clusters 2, 14, and 15). These
cassettes were ligated into the allele replacement vector pEXKm5 for
use in transformation, recombination, selection, and ultimately promoter
replacement in Bp82.[14] Using this approach, we were able to induce high-level metabolite
production from clusters 14 and 15 (SYR and MPN clusters, respectively),
and then through a combination of bioinformatics, mass spectroscopy,
and NMR, we characterized the molecules encoded by these two clusters,
as follows.On the basis of bioinformatics analysis, we predicted
that the
MPN gene cluster was composed of a unidirectional five-gene locus
(mpnA-E). Three of these genes, mpnBCD, encode large modular NRP megasynthetases (NRPSs) that together
are predicted to synthesize a 12-amino-acid peptide (Figure 4A). The MpnB initiation module is predicted to incorporate
an acyl group as a starter unit, suggesting that the MPN cluster would
encode a lipopeptide.[15] The two additional
genes predicted to reside in the MPN cluster would appear to be responsible
for generating unnatural amino acids for use by the NRPSs. The first, mpnA, encodes a diaminobutyrate-2-oxoglutarate
transaminase that is commonly used in 2,4-diaminobutyric
acid (Dab) biosynthesis, which is supported by the predicted Dab substrate
binding specificity of one of the NRPS adenylation domains, A7 (Figure 4B). The final gene, mpnE, is predicted to encode for a SyrP-like aspartic/glutamic
acid hydroxylase.
Figure 4
Characterization of the MPN cluster. (A) Biosynthetic
gene cluster
encoding the malleipeptins (genes BP1026B_II1742-1746, Table S2), with PRhaB promoter
exchange (red). (B) Predicted NRPS domain architecture and adenylation
domain selectivity for MpnBCD. Parentheses indicate amino acids observed
in the NMR-determined final malleipeptin structure that differ
from the bioinformatics prediction. Abbreviations: C, condensation
domain; CS, starter condensation domain; Cd,
dual condensation/epimerization domain; A, adenylation domain; T,
peptidyl carrier domain; TE, thioesterase; Dhb, 2,3-dehydrobutyric
acid; Dab, 2,4-diaminobutyric acid; hGlu, 4-hydroxyglutamic
acid. (C) HPLC traces (diode array: 254 nm) of culture broth extracts
from (a) Bp82, (b) Bp82:PRhaB-MPN (no rhamnose), and (c) Bp82:PRhaB-MPN (rhamnose
induced). (D) Structure of malleipeptins A (1)
and B (2) with key HMBC/ROESY correlations. Predicted
tailoring enzyme functionalities (MpnA and MpnE) are highlighted.
Comprehensive NMR assignments are detailed in Figure S3.
Characterization of the MPN cluster. (A) Biosynthetic
gene cluster
encoding the malleipeptins (genes BP1026B_II1742-1746, Table S2), with PRhaB promoter
exchange (red). (B) Predicted NRPS domain architecture and adenylation
domain selectivity for MpnBCD. Parentheses indicate amino acids observed
in the NMR-determined final malleipeptin structure that differ
from the bioinformatics prediction. Abbreviations: C, condensation
domain; CS, starter condensation domain; Cd,
dual condensation/epimerization domain; A, adenylation domain; T,
peptidyl carrier domain; TE, thioesterase; Dhb, 2,3-dehydrobutyric
acid; Dab, 2,4-diaminobutyric acid; hGlu, 4-hydroxyglutamic
acid. (C) HPLC traces (diode array: 254 nm) of culture broth extracts
from (a) Bp82, (b) Bp82:PRhaB-MPN (no rhamnose), and (c) Bp82:PRhaB-MPN (rhamnose
induced). (D) Structure of malleipeptins A (1)
and B (2) with key HMBC/ROESY correlations. Predicted
tailoring enzyme functionalities (MpnA and MpnE) are highlighted.
Comprehensive NMR assignments are detailed in Figure S3.The induction of MPN
biosynthesis was achieved through PRhaB insertion upstream
of mpnA to give strain Bp82:PRhaB-MPN. Upon induction with rhamnose,
two major strain-specific metabolites appeared in culture broth extracts
(Figure 4C; 1 and 2, ESI [M+H]+m/z 1384.3
and 1398.2, respectively). These metabolites were absent in extracts
from both wild-type Bp82 and uninduced Bp82:PRhaB-MPN cultures, indicating that, while the MPN cluster
is critical for virulence in vivo, it remains silent
under simple laboratory fermentation conditions. Compounds 1 and 2 were purified by preparative reverse-phase chromatography
from the methanol eluent of HP-20 resin-infused rhamnose-induced Bp82:PRhaB-MPN cultures.COSY/TOCSY analyses
of major compound 2 showed 14
spin systems (Figures S3 and S4). On the
basis of 1H/13C chemical shift data and HMQC/HMBC
correlations, 12 of these are predicted to be amino acids. 1H–13C HMBC correlations between amide protons and
adjacent carbonyl groups, with supporting 1H–1H ROESY correlations, defined the order of the 12 amino acids
(Figures 4D and S3). Intramolecular cyclization through the threonine side chain (position
9) to form a 13-member macrolactone is supported by an HMBC correlation
between the β-carbon methine proton (δH 5.37)
of threonine and the carbonyl carbon of the C-terminal isoleucine
residue (δC-1 169.2). The final two COSY spin
systems are predicted to be part of an acyl substituent. An HMBC correlation
between the carbonyl (δC-1 165.8) that is
connected by HMBC correlations to the olefin-containing spin system
and the serine amide proton (δH 8.24) confirms attachment
of acyl group to the N-terminus. The trans geometry
of the olefin was inferred from the large vicinal proton–proton
coupling (3JHH = 15 Hz). Ultimately,
the exact length of the acyl substituent (2-(E)-decenoic)
was determined on the basis of the molecular formula predicted by
HRMS-TOF (m/z [M+H]+ calcd
for C62H105N14O22, 1397.7511;
found, 1397.7528). Minor product 1 differs from 2 by CH2, based on the MS-predicted formula (HRMS-TOF m/z [M+H]+ calcd for C61H103N14O22, 1383.7372; found, 1383.7365).
The same general NMR/MS arguments used to define the structure of 2 were used to establish the structure of 1,
with the exception that 1H, 13C, and both the
COSY and TOCSY spectra indicate the C-terminal amino acid is a valine
instead of an isoleucine. We have assigned these new lipopeptides
the names malleipeptin A (1) and malleipeptin
B (2).Malleipeptins A and B are 12-amino-acid
lipopeptides with
a novel peptide sequence and a rarely seen 13-membered terminal lactone.[16,17] The primary malleipeptin amino acid sequence is in very good
agreement with the bioinformatics prediction from the primary MpnBCD
NRPS (Figures 4B). One exception is that 2,3-dehydro-2-aminobutanoic
acid (Dhb), a dehydrated threonine residue, is incorporated at the
position predicted to contain a threonine. The biosynthesis of the
hydroxyglutamic acid (hGlu) moiety seen at position 10 is supported
by the presence MpnE, which is a predicted SyrP-like aspartic/glutamic
acid hydroxylase.[18]1H and COSY
spectra with supporting 1H–13C HMQC correlations
indicate that the oxidation occurs at the C-4 methine (δC-4 66.3), instead of the more common C-3 position (Figure S5). The presence of dual condensation/epimerization
domains[19] in five of the NRPS modules indicates
the incorporation of d-amino acids directly upstream of these
domains at positions-1, −3, −5, −7, and −10
(Figure 4B), as is drawn in Figure 4D. The tandem thioesterases (TE1·TE2) found at the N-terminus of MpnD are commonly seen in large
lipopeptide biosynthetic clusters and are predicted to encode
for both intramolecular cyclization and proofreading to ensure the
fidelity of the biosynthetic assembly line.[20,21] The malleipeptins are the first lipopeptides characterized
from pseudomallei-group Burkholderia and are distinct from lipopeptides
produced by unrelated Burkholderia species (e.g., burkholdine, occifungin).[22,23] The NRPSs responsible for the assembly of the malleipeptins
do not align well to any deposited NRPS sequences outside of those
found in other sequenced BP strains, indicating that
the MPN cluster encodes for a novel structural family of lipopeptides
that is so far solely associated with BP virulence.The SYR cluster is comprised of nine genes (syrA–I) that are unidirectionally oriented (Figure 5A). Bioinformatics analysis predicted this gene cluster was likely
to encode a syrbactin-type proteasome inhibitor, as indicated by homologues
of genes known to encode the hybrid PK/NRP syrbactin “warhead”
that binds to the 20S proteasome active site (syrEGFHI).[24] In addition, this cluster is predicted
to contain a set of genes (syrABCD) putatively responsible
for synthesis and transfer of an acyl group (Figure
S23). While syrbactins have been characterized from bacteria
that are pathogenic to plant and insect hosts, this is the first syrbactin-type
cluster identified within a mammalian pathogen. To study this cluster,
we exchanged the promoter upstream of syrA with PRhaB, yielding strain Bp82:PRhaB-SYR. HPLC analysis of ethyl acetate extracts from rhamnose-infused
cultures of Bp82 and Bp82:PRhaB-SYR showed a dramatic increase in two metabolites in the
induced Bp82:PRhaB-SYR cultures (Figure 5B; 3 and 4). These metabolites
are absent in extracts from uninduced Bp82:PRhaB-SYR cultures, confirming the activation/repression phenotype
provided by the PRhaB promoter and coupling compound 3 and 4 production to SYR gene cluster induction.
Compounds 3 and 4 were purified from ethyl
acetate extracts using a modified Kupchan scheme followed by silica
gel flash chromatography and preparative reverse-phase HPLC. MS and
NMR data indicate that compound 3 is identical to the
syrbactin glidobactin C (HRMS-TOF m/z [M+Na]+ calcd for C29H48N4O6Na, 571.3514; found, 571.3483), which is characterized
by the acylation of the PK/NRP warhead with a 2(E),4(E)-diene derivative of myristic acid (Figure 5C). The HRMS-predicted molecular formula for 4 differs from that of 3 by one oxygen atom (HRMS-TOF m/z [M + Na]+ calcd for C29H48N4O5Na, 555.3522; found,
555.3520). 1H and 13C chemical shift data as
well as COSY, HMQC, and HMBC correlation data indicate that compound 4 contains lysine, instead of 4-hydroxyllysine, within the
warhead substructure. To our knowledge, this syrbactin variant, which
we assign the name deoxyglidobactin C (4), has
not been reported previously. (Figure S23 details the biosynthetic rationale for compounds 3 and 4.)
Figure 5
Characterization of SYR cluster. (A) Biosynthetic gene cluster
encoding for the syrbactins (genes BP1026B_II1345-1353; Table S2) with PRhaB promoter
exchange (red). (B) HPLC traces (diode array: 254 nm) of culture broth
extracts from (a) Bp82, (b) Bp82:PRhaB-SYR (no rhamnose),
and (c) Bp82:PRhaB-SYR
(rhamnose induced). (C) Structures of glidobactin C (3) and deoxyglidobactin C (4).
Characterization of SYR cluster. (A) Biosynthetic gene cluster
encoding for the syrbactins (genes BP1026B_II1345-1353; Table S2) with PRhaB promoter
exchange (red). (B) HPLC traces (diode array: 254 nm) of culture broth
extracts from (a) Bp82, (b) Bp82:PRhaB-SYR (no rhamnose),
and (c) Bp82:PRhaB-SYR
(rhamnose induced). (C) Structures of glidobactin C (3) and deoxyglidobactin C (4).While syrbactins are known proteasome inhibitors, the biological
activity of the malleipeptins was unknown. At the highest levels
tested, the malleipeptins showed no general toxicity against
bacterial (100 μg/disk) or human cells lines (100 μg mL–1). A common function among non-cytotoxic lipopeptides
is surfactant activity. In bacteria, biosurfactant production is thought
to reduce the surface tension at water/hydrophobic interfaces, thereby
helping to increase growth on surfaces; in pathogens, they have been
shown to aid in bacterial invasion mechanisms.[25,26] Using a toluene emulsion assay, we tested the emulsive potential
of Bp82 and Bp82:PRhaB-MPN cultures both in the presence and in the absence of rhamnose.
Only the induced Bp82:PRhaB-MPN supernatant
formed any emulsion when mixed 1:1 with organic solvent, indicating
that a potent surfactant property is, in fact, associated with malleipeptin
production (Figure 6A). As biosurfactants have
also been shown to possess a role in modulating biofilms,[16,26] we examined the effect of malleipeptin on Bp82 biofilm production. At concentrations as low as 1 μM, malleipeptin
disrupted Bp82 biofilm formation (Figures 6B and S32). On the basis
of these observations, we believe malleipeptins are biosurfactants
that are required at some stage during BP infections.
Figure 6
Malleipeptin
activity. (A) Emulsification activity of cell culture
supernatants. Equal parts toluene and supernatant were combined, vortexed,
and then let stand for 2 h. (a) Bp82, no rhamnose; (b) Bp82, plus rhamnose;
(c) Bp82:PRhaB-MPN, no
rhamnose; (d) Bp82:PRhaB-MPN, plus rhamnose; (e) LB medium (blank). (B)
Microtiter plate assay showing increasing disruption of Bp82 top biofilm with increasing concentrations of 2 (200
μL cultures, 30 °C, 48 h; 20× magnification).
Malleipeptin
activity. (A) Emulsification activity of cell culture
supernatants. Equal parts toluene and supernatant were combined, vortexed,
and then let stand for 2 h. (a) Bp82, no rhamnose; (b) Bp82, plus rhamnose;
(c) Bp82:PRhaB-MPN, no
rhamnose; (d) Bp82:PRhaB-MPN, plus rhamnose; (e) LB medium (blank). (B)
Microtiter plate assay showing increasing disruption of Bp82 top biofilm with increasing concentrations of 2 (200
μL cultures, 30 °C, 48 h; 20× magnification).
Conclusions
Comparative genome analyses
led us to three small-molecule biosynthetic
gene clusters that are required for BP pathogenicity.
In a previous study involving BT, we showed that
the lipophilic siderophore malleilactone, which is encoded by
a gene cluster that is shared among BP, BM, and BT (Figure 2, cluster
8), strongly influences the virulence of BT in non-mammalian
models.[9] Taken together, these works illustrate
that small molecules play critical, yet largely overlooked, roles
in Burkholderia pathogenesis (Figure 7). Additionally,
the identification and characterization of small molecules encoded
by cryptic gene clusters associated with virulence, especially when
studying highly controlled Select Agent pathogens like BP, provide a means to potentially more safely dissect the detailed
mechanisms of melioidosis.
Figure 7
Putative metabolomics basis for bacterial virulence.
Small-molecule
biosynthesis is predicted to influence BP virulence
through diverse mechanisms: (A) bacterial invasion, (B) systemic toxicity,
and (C) acquisition of nutrients. The inhibition of these overlooked
components of BP virulence should provide novel avenues
for the development of BP-specific anti-infective
agents.
Putative metabolomics basis for bacterial virulence.
Small-molecule
biosynthesis is predicted to influence BP virulence
through diverse mechanisms: (A) bacterial invasion, (B) systemic toxicity,
and (C) acquisition of nutrients. The inhibition of these overlooked
components of BP virulence should provide novel avenues
for the development of BP-specific anti-infective
agents.As the pathogenicity of BP is known to involve
intracellular replication following invasion of both epithelial and
macrophage cells, potential roles for secondary metabolites within BP pathogenicity can be proposed. Biosurfactants have been
shown to disrupt epithelial integrity, facilitate paracellular infiltration
by bacterial pathogens, and support intercellular communication among
bacteria by improving the solubility of lipophilic quorum sensing
molecules.[25,27] The malleipeptins may play
similar roles in BP pathogenicity, potentially aiding
in bacterial infiltration and disease progression. Proteasome inhibition
is known to directly activate programmed cell death through induction
of apoptosis and autophagy across multiple cell lines, including macrophages.[28−31] In the context of BP infections, autophagy has
been shown to be critical for diverting host nutrients to the pathogen.[32] Proteasome inhibition by the glidobactins
could therefore provide the mechanistic explanation for both promoting
intracellular replication or, in the case of macrophages, immunosuppression,
which has long been suspected within BP pathogenicity.[33] In light of the importance of these small molecules
to BP pathogenesis, the inhibition of their biosyntheses
could prove to be a productive avenue for the development of next-generation
therapeutics for combating melioidosis.
Experimental
Procedures
Construction of B. pseudomallei 1026b Mutants
Deletion of biosynthetic clusters was performed via a two-stage
PCR strategy, wherein a key region of genomic DNA was excised by homologous
recombination of DNA designed from genetic regions both upstream and
downstream of the targeted excision region.[14] Upstream and downstream regions (∼1 kb in length) were amplified
from Bp1026b genomic DNA in a volume of 50 μL
with 50 pmol of primer pair (primers 2F/2R and primers 3F/3R; listed
in Table S3), 1X FailSafe PreMix E (Epicentre),
and 5 U Phusion polymerase (NEB). PCR cycling conditions were as follows:
98 °C for 30 s, 30 cycles of 98 °C for 30 s; annealing at
62.5 °C for 30 s; 60 s extension at 72 °C; 72 °C, 1
min. Primers were designed to ligate into the sacB-based vector pEXKm5[14] as a SmaI/XhoI cassette using the In-Fusion cloning kit
(Clontech). Each fragment was gel purified with Qiagen PCR purification
kit, and the fragments were ligated together into ∼2 kb fragments
by a second round of PCR with the above protocol using primers 2F
and 3R and ∼1 ng of each product from the initial PCR reaction.
The extension time was increased to 2 min, with final 72 °C incubation
at 2 min. This final product was then ligated into pEXKm5. Recombinant
derivatives of pEXKm5 were electroporated into E. coli S17-1 and conjugated with B. pseudomallei for 8
h, as described elsewhere.[34]Bp1026b transconjugants were selected with kanamycin (1000 μg
mL–1), and polymyxin B (25 μg mL–1) was used to counterselect E. coli S17-1. Optimal conditions for resolution of the sacB constructs were found to be LB agar lacking NaCl and containing
10% sucrose, with incubation at 25 °C for 3–4 days.
PCR Screening of Sucrose-Resistant Colonies To Identify Deletion
Mutations
Colony PCR was performed by resuspending an isolated
sucrose resistant colony in 50 μL of water and using 5 μL
of the suspension in a PCR reaction. PCR amplifications were performed
in a final reaction volume of 50 μL containing 1X FailSafe PreMix
D (Epicentre), 1.25 U of FailSafe PCR Enzyme Mix (Epicentre), and
1 μM PCR primers. PCR cycling conditions were as follows: 97
°C for 5 min, 30 cycles of a three-temperature cycling protocol
(97 °C for 30 s, 55 °C for 30 s, and 72 °C for 1 min);
72 °C, 10 min. Confirmation primers were designed to show a ∼500
bp region from the fusion of the upstream and downstream regions of
the excised target locus, as verified by agarose gel (Figure S1).
BALB/c Mouse Virulence
Studies
B. pseudomallei animal work was
conducted under animal biosafety level 3 (ABSL3)
conditions in accordance with Institutional Animal Care and Use Committee
regulations at the U.S. Army Medical Research Institute of Infectious
Diseases. Six- to eight-week-old female BALB/c mice (National Cancer
Institute, Frederick, MD) were anesthetized with a 0.1–0.2
mL intraperitoneal injection of Ketamine HCl, Acepromazine,
and Xylazine (K-A-X). The K-A-X solution was prepared by combining
5 mL of Ketamine HCl (100 μg mL–1) and 0.5
mL of Acepromazine (10 μg mL–1) with 2.75
mL of Xylazine (20 μg mL–1) and mixing 1 mL
of the resulting solution with 9 mL of saline. B. pseudomallei strains were grown overnight in LennoxLB broth and then serially
diluted in phosphate-buffered saline, and 102–105 colony-forming units were used to inoculate groups of 10
mice by intranasal instillation. Briefly, 50 μL of the
bacterial inoculum was gradually released into the nostrils of anaesthetized
mice using a Gilson Pipetman P200. The infected animals were monitored
daily for a period of 21 days, at which time the survivors were euthanized
with CO2, and the 50% lethal dose (LD50) was
calculated.
Promoter Exchange Cloning and Bp82 Transformation
Avirulent BP strain, Bp82, was
derived directly from Bp1026b through deletion of
the ΔpurM gene responsible for de novoadenine synthesis,[12] and all primers
were based on the Bp1026b genome sequence. All media
formulated for adenine auxotroph Bp82 strain culturing
were supplemented with adenine (80 μg mL–1) and thymidine (5 μg mL–1). For dual activation/suppression
of individual biosynthetic gene clusters in Bp82,
we previously designed a strategy for replacing native promoter regions
upstream of an individual biosynthetic cluster with an inducible promoter
imposing tight repression of transcription in Burkholderia (i.e.,
promoter exchange), detailed by Biggins et al.[9] Promoter exchange cassettes containing the rhamnose-inducible promoter
PRhaB and the dhfr trimethoprim resistance
gene (from pSCrhaB2 vector),[35] flanked
on each side by ∼1 kb of sequence homologous to the specific
recombination sites in the Burkholderia genome, were constructed by
successive rounds of PCR/restriction digest/ligation. Each ∼4.8
kb promoter exchange cassette was PCR amplified from its pUC-Rha parent
clone with primer pair 2F/3R, gel purified, treated to afford blunt-ended
phosphorylation (End-It DNA repair kit; Epicenter), and ligated into
vector pEXKm5 at the CIP-treated SmaI site within
the multicloning region. Each pEXKm5-cloned variant was transported
into E. coli S17-1 and conjugated with Bp82, as described.[14]Bp82/E. coli co-cultures were resuspended in 250 μL
of LB medium and selected over 2–3 days on selection media
LB agar/kanamycin (1000 μg mL–1)/trimethoprim
(100 μg mL–1). Gentamycin (20 μg mL–1) was also added to counterselect against E. coli. Merodiploid Bp82 colonies were
picked and restreaked on a fresh selection plate for 48 h. A single
colony was then grown in 1 mL of YT medium[14] overnight and plated on sacB-curing media YT agar/trimethoprim
(100 μg mL–1)/X-Gluc (50 μg mL–1)/15% sucrose for 2–3 days at 30 °C. Excision of the
plasmid backbone was verified by white colony phenotype and the inability
to survive against kanamycin (1000 μg mL–1) selection. Proper recombinant transformants were verified for proper
insertion/recombination by PCR using primer pair 4F/5R for proper
∼4.8 kb fragment containing PRhaB and flanking hybridization
domains. Seamless insertion of promoter PRhaB was verified
by amplifying the region within the PRhaB promoter and
downstream of the insertion site with primer pairs 5F/5R, gel purifying
each ∼1 kb fragment, and Sanger sequencing to verify that no
mutations occurred during the cloning process.
Strain-Specific Induction
of Malleipeptin Production
Strain Bp82:PRhaB-MPN was grown overnight
to confluence in LB/trimethoprim (100 μg mL–1), and then 500 μL was inoculated into 50 mL of LB/trimethoprim
(100 μg mL–1)/0.2% l-rhamnose with
1.5 g of HP-20 resin added and incubated at 30 °C, 200 rpm, 72
h. An identical control culture lacked the addition of l-rhamnose
to the culture medium. After 72 h, resin was filtered from the broths,
washed twice in equal amounts of deionized water, and dried overnight
in a laboratory fume hood. Dried resins were resuspended in 10 mL
of methanol, sonicated, decanted, dried in vacuo,
and monitored by reverse-phase HPLC-MS (linear gradient from 10:90
CH3CN/H2O with 0.1% formic acid to 100% CH3CN with 0.1% formic acid over 50 min; 0.7 mL min–1; Waters XBridge C18, 5 μm, 4.6 × 150 mm). Rhamnose-induced
culture (illustrated in Figure 4C) displayed
two major peaks (retention times: 22.6 min, 1; 23.4 min, 2) that are not present in the control cultures.
Strain-Specific
Induction of Syrbactin Production
Strain Bp82:PRhaB-SYR was grown overnight to confluence
in LB/trimethoprim (100 μg mL–1), and then
500 μL was inoculated into 50 mL of LB/trimethoprim (100 μg
mL–1)/0.2% l-rhamnose and incubated at
30 °C, 200 rpm, 72 h. An identical control culture lacked the
addition of l-rhamnose to the culture medium. After 72 h,
20 mL of culture broth was extracted with an equal amount of ethyl
acetate, dried in vacuo, and monitored by reverse-phase
HPLC-MS (linear gradient from 10:90 CH3CN/H2O with 0.2% trifluoroacetic acid to 100% CH3CN with 0.2%
trifluoroacetic acid over 50 min; 0.7 mL min–1;
Waters XBridge C18, 5 μm, 4.6 × 150 mm). Rhamnose-induced
culture (illustrated in Figure 5C) displayed
two major peaks (retention times: 31.6 min, 3; 34.0 min, 4) that are repressed in non-induced cultures.
Emulsion Assay
The emulsive potential of malleipeptin
producing extracts of Bp82:PRhaB-MPN cultures
was tested against wild-type Bp82, both with (induction)
and without 0.2% l-rhamnose added to media, using toluene
as an organic solvent.[16] Confluent cultures
of each strain were grown overnight from a freshly restreaked colony
in LB medium. Aliquots of 50 μL of LB media, both with and without
added 0.2% l-rhamnose, were inoculated with 500 μL
of each strain and incubated (48 h, 200 rpm; 30 °C). One milliliter
of each culture was pelleted (60 s; 15000g), from
which 500 μL was mixed with an equal volume of toluene in a
glass vial, vortexed vigorously, and rested for 2 h. LB media alone
was used as a blank control.
Biofilm Disruption Assay
A confluent
culture of Bp82 was grown overnight from a freshly
restreaked colony
in LB medium, inoculated into 50 mL LB medium, and grown to OD600 0.5 (200 rpm; 37 °C), after which the culture was
diluted 1:100 and seeded in 96-well plates (200 μL/well). The
concentration of purified malleipeptin B ranged from 100 μg
mL–1 (70 μM) to 0.34 μg mL–1 (0.24 μM) (2.25-fold dilution increments). Blank controls
(methanol solvent vector) were co-incubated in adjacent wells. Assays
were done in triplicate. Cultures were incubated (48 h; 80 rpm; 30
°C), and top biofilm formations were visualized through a dissecting
stereoscope. Disruption in biofilm is evident in cultures with ligand
concentration above ∼1 μM malleipeptin B, wherein
biofilms become increasingly porous and fragmented. Still pictures
were taken with a Leica M60 stereoscope affixed with an IC80HD camera
(20× magnification).
Authors: Jennifer R Klaus; Jacqueline Deay; Benjamin Neuenswander; Wyatt Hursh; Zhe Gao; Tiffany Bouddhara; Todd D Williams; Justin Douglas; Kyle Monize; Patricia Martins; Charlotte Majerczyk; Mohammad R Seyedsayamdost; Blake R Peterson; Mario Rivera; Josephine R Chandler Journal: J Bacteriol Date: 2018-06-25 Impact factor: 3.490
Authors: Jennifer R Klaus; Pauline M L Coulon; Pratik Koirala; Mohammad R Seyedsayamdost; Eric Déziel; Josephine R Chandler Journal: J Ind Microbiol Biotechnol Date: 2020-10-14 Impact factor: 3.346
Authors: Ian A McMillan; Michael H Norris; Jan Zarzycki-Siek; Yun Heacock-Kang; Zhenxin Sun; Bradley R Borlee; Tung T Hoang Journal: Sci Rep Date: 2021-05-17 Impact factor: 4.379
Authors: Jong-Duk Park; Kyuho Moon; Cheryl Miller; Jessica Rose; Fei Xu; Christopher C Ebmeier; Jeremy R Jacobsen; Dainan Mao; William M Old; David DeShazer; Mohammad R Seyedsayamdost Journal: ACS Chem Biol Date: 2020-01-02 Impact factor: 4.634