Figures
Abstract
Klebsiella pneumoniae is recognized as an urgent threat to human health due to the increasing isolation of multidrug resistant strains. Hypervirulent strains are a major concern due to their ability to cause life-threating infections in healthy hosts. The type VI secretion system (T6SS) is widely implicated in microbial antagonism, and it mediates interactions with host eukaryotic cells in some cases. In silico search for genes orthologous to T6SS component genes and T6SS effector genes across 700 K. pneumoniae genomes shows extensive diversity in T6SS genes across the K. pneumoniae species. Temperature, oxygen tension, pH, osmolarity, iron levels, and NaCl regulate the expression of the T6SS encoded by a hypervirulent K. pneumoniae strain. Polymyxins and human defensin 3 also increase the activity of the T6SS. A screen for regulators governing T6SS uncover the correlation between the transcription of the T6SS and the ability to kill E. coli prey. Whereas H-NS represses the T6SS, PhoPQ, PmrAB, Hfq, Fur, RpoS and RpoN positively regulate the T6SS. K. pneumoniae T6SS mediates intra and inter species bacterial competition. This antagonism is only evident when the prey possesses an active T6SS. The PhoPQ two component system governs the activation of K. pneumoniae T6SS in bacterial competitions. Mechanistically, PhoQ periplasmic domain, and the acid patch within, is essential to activate K. pneumoniae T6SS. Klebsiella T6SS also mediates anti-fungal competition. We have delineated the contribution of each of the individual VgrGs in microbial competition and identified VgrG4 as a T6SS effector. The DUF2345 domain of VgrG4 is sufficient to intoxicate bacteria and yeast. ROS generation mediates the antibacterial effects of VgrG4, and the antitoxin Sel1E protects against the toxic activity of VgrG4. Our findings provide a better understanding of the regulation of the T6SS in bacterial competitions, and place ROS as an early event in microbial competition.
Author summary
Klebsiella pneumoniae has been singled out as an “urgent threat to human health” due to extremely drug resistant strains. Numerous studies investigate the molecular mechanisms underlying antibiotic resistance in K. pneumoniae, while others dissect the virulence strategies of this pathogen. However, there is still limited knowledge on the fitness of Klebsiella in the environment, and, particularly, the competition of Klebsiella with other species. Here, we demonstrate that Klebsiella exploits the type VI secretion system (T6SS) nanoweapon to kill bacterial competitors and fungi. K. pneumoniae perceives T6SS attacks from bacterial competitors, resulting in retaliation against the aggressive cell. The perception of the attack involved the sensor PhoPQ and led to the up-regulation of the T6SS. We identified one of the toxins deployed by the T6SS to antagonize other microbes and revealed how Klebsiella protects itself from this toxin. Our findings provide a better understanding of the T6SS role in microbial competition and uncover new aspects on how bacteria regulate T6SS-mediated microbial antagonism.
Citation: Storey D, McNally A, Åstrand M, sa-Pessoa Graca Santos J, Rodriguez-Escudero I, Elmore B, et al. (2020) Klebsiella pneumoniae type VI secretion system-mediated microbial competition is PhoPQ controlled and reactive oxygen species dependent. PLoS Pathog 16(3): e1007969. https://doi.org/10.1371/journal.ppat.1007969
Editor: Matthew R. Parsek, University of Washington, UNITED STATES
Received: July 4, 2019; Accepted: February 17, 2020; Published: March 19, 2020
Copyright: © 2020 Storey et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: D.S. is the recipient of a PhD fellowship funded by by the National Doctoral Programme in Informational and Structural Biology, Svenska Kulturfonden and Orion Research Foundation funding to M.Å., by Sigrid Jusélius Foundation and Tor, Joe, and Pentti Borg’s Foundation funding to T.A.S. This work was supported by Biotechnology and Biological Sciences Research Council (BBSRC, BB/N00700X/1, and BB/L007223/1) and Queen’s University Belfast start-up funds to J.A.B. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist
Introduction
The type VI secretion system (T6SS) is a bacterial nanomachinery that delivers substrates into a target cell in a one-step process. The system was first described as a cluster of impaired nitrogen fixation (imp) genes in Rhizobium leguminosarum [1]. Shortly after, Rao and co-workers identified the T6SS of Edwardsiella tarda in a mass spectrometric screen for secreted virulence factors [2]. Initial studies reported that T6SSs contributed to virulence and/or interaction with eukaryotic cells in multiple bacterial species, primarily pathogens (Vibrio cholerae, Burkholderia ssp., Pseudomonas aeruginosa, E. tarda, Salmonella gallinarum) [3–6]. However, substantial experimental data argue for its broad significance in bacterial fitness in the environment. The first antibacterial T6SS was described in P. aeruginosa in 2010 [7], and since then the T6SS has been implicated in efficient killing of competitors, quorum sensing and horizontal gene transfer [8–11].
T6SS are encoded within clusters which all contain 13 conserved core genes named tssA-M encoding the proteins making up the basic secretion apparatus [12–15]. ClpV/TssH is a cytoplasmic AAA+ ATPase allowing recycling of the T6SS machinery. Additional copies of essential core components, tssD/hcp and tssI/vgrG, can be found outside the main T6SS cluster and are often associated with genes encoding putative effector proteins. Bioinformatics and structural evidence sustain the notion that the T6SS apparatus is closely related to components of a contractile bacteriophage forming a cell puncture device [12–15]. The T6SS inner tube is composed of hexamers of Hcp, and it is believed that VgrG sits at the top of the Hcp tube. PAAR domain containing proteins have been shown to bind the distal end of VgrG to complete the tip of the machinery but also to act as a platform for recruitment of effectors [16]. The evidence indicates that an effector can either be fused to a homologue of one of the components of the Hcp-VgrG-PAAR structure as an additional domain, or can interact non-covalently with one of the components of this structure [17]. The first characterized effector domain was the C-terminal actin cross-linking domain of the VgrG-1 protein secreted by the T6SS of V. cholerae [18]. Many other effectors are encoded in proximity to vgrG, hcp or paar genes strongly suggesting that their secretion is associated with the neighbouring core component; this has been extensively investigated in the case of Serratia marcescens and P. aeruginosa.
Klebsiella pneumoniae has been singled out as an “urgent threat to human health” by the World Health Organization due to extremely drug resistant strains. More than a third of the K. pneumoniae isolates reported to the European Centre for Disease Prevention and Control were resistant to at least one antimicrobial group, the most common resistance phenotype being the combined resistance to fluoroquinolones, third-generation cephalosporins and aminoglycosides. Numerous studies investigate the molecular mechanisms underlying antibiotic resistance in K. pneumoniae, while others dissect the virulence strategies of this pathogen [19,20]. However, there is still limited knowledge on the fitness of Klebsiella in the environment, and, particularly, the competition of Klebsiella with other species. In this context, a first analysis of four Klebsiella genomes revealed that this pathogen may encode a T6SS with the 13 core T6SS genes organized in two syntenic segments [21].Three putative VgrGs and two Hcp were described as potential effector proteins through their sequence similarities to V. cholerae and P. aeruginosa effector proteins [21]. Our recent comparative genomics study indicates that the T6SS is part of the Klebsiella core genome [22], and two different phospholipases, PLD1 and Tle1, have been identified as T6SS effectors [22,23].
In the present study, we characterize the T6SS encoded by a hypervirulent K. pneunomiae strain and investigate its role in intra and inter bacterial species, and anti-fungal competition. Our findings demonstrate that interaction with competing bacteria expressing T6SS triggers the activation of the PhoPQ two-component system leading to increased transcription of the T6SS and killing of competitor bacteria. Moreover, polymyxins, last line antibiotic against multidrug Klebsiella infections, and human defensins also induce T6SS-dependent killing in a PhoPQ dependent manner. In this work, we also identify the antibacterial effector domain fused to VgrG4 and demonstrate that its toxicity is through the generation of reactive oxygen species (ROS), highlighting the role of ROS in antibacterial competition.
Results
Organization of the T6SS gene clusters in K. pneumoniae CIP52.145
Strain K. pneumoniae CIP52.145 (hereafter Kp52145) belongs to the K. pneumoniae KpI group which includes the vast majority of strains associated with human infection, including numerous multidrug-resistant and hypervirulent clones [24]. Kp52145 encodes all virulence functions significantly associated with invasive community-acquired disease in humans [22,24]. Kp52145 possess three T6SS loci (Fig 1A). Locus I encodes all of the known conserved core genes encoding the proteins making up the basic secretion apparatus, including ClpV/TssH, Hcp1/TssD1, and VgrG1/TssI1, except TssE. A putative effector is found downstream of vgrG1. In the Kp52145 genome available, hcp1, vgrG1, tssM3 are annotated as pseudogenes. However, real time PCR analysis revealed full length transcripts of the anticpated size (159 bp for hcp1, 1190 bp for vgrG1, and 1596 bp for tssM3). Moreover, as the results of this manuscript show, we detected proteins of the expected size for Hcp1 and VgrG1. Locus II is incomplete, hcp, clpV, vipA/tssB, vipB/tssC are missing and there is an insertion in sciN/tssJ (Fig 1A). However, it does contain another vgrG, which we termed vgrG2, and three putative effectors, locus tag BN49_0937, BN49_0942, BN49_0943, the latter one containing a characteristic PAAR domain. Two putative immunity proteins, locus tag BN49_0941 and BN49_0936, are also found in this cluster. As we have recently described [22], locus III is also incomplete and contains an insertion of nine proteins including another vgrG, which we termed vgrG4, a PLD1 effector, and a PAAR protein. We have recently demonstrated that pld1 encodes a virulence factor essential in the pneumonia mouse model [22]. There are no reported studies of the function of the proteins encoded by the five genes containing sel-1 repeats in K. pneumoniae, although in Legionella pneumophila similar Sel1 containing proteins have been implicated in interactions with host cells [25]. In silico analysis of the Kp52145 genome revealed the presence of three additional putative hcp genes, locus tag BN49_1035, BN49_2747 and BN49_2887, and a cluster of five genes, locus tag BN49_4908 to BN49_4913, encoding four putative effectors and a PAAR protein (Fig 1B).
(A) Analysis of the three loci encoding the T6SS. Locus I encodes the known conserved core genes, whereas loci II and III are incomplete. Each loci is characterized by a distinct vgrG and a different set of putative effector(s) and immunity proteins. (B) Additional T6SS related genes found elsewhere in the genome. In both panels the colour code of the genes indicate putative structural genes, hcp, vgrG, effector (denoted as Kpe for K. pneumoniae effectors), immunity protein (denoted as Kpi for K. pneumoniae immunity protein), regulator, and PAAR-domain containing protein.
Diversity of T6SS locus in K. pneumoniae
We sought to investigate the diversity of the T6SS locus in different K. pneumoniae strains. Initially, we focused on strains ATCC43816, widely used in virulence studies, NTUH-K2044 and SGH10, isolates of the clonal group CG23 causing liver abscesses [26,27], NJST258_1, isolate of the clonal group ST258 [28], and strain MGH78578, the first K. pneumoniae multidrug resistant isolate sequenced. To analyse these genomes we used the integrated database SecReT6 (http://db-mml.sjtu.edu.cn/SecReT6/). Locus I is conserved in all strains, and it contains the conserved genes known to be essential to build a T6SS (S1 Fig). vgrG1 is found in all strains in locus I. Notably, there is a significant diversity in the number of effectors and immunity proteins present in this locus, and every strain analysed has a different repertoire. In all strains, locus II is also incomplete, and this locus is also characterized by the presence of a vgrG. Likewise Kp52145, MGH75878, encodes vgrG2 in this locus whereas ATCC431816 and NTUH-K2044 encode vgrG4, and SGH10 and NJST258_1 encode a new vgrG, which we termed vgrG3. Each of the strains analysed encode also different repertoire of putative effectors in this locus. Only ATCC43816 and MGH75878 present a third T6SS locus, being different to that encoded by Kp52145. Collectively these findings demonstrate that locus I encodes a complete T6SS although there is considerable genome diversity in terms of effectors, vgrGs, and number of T6SS loci.
To obtain a global picture of the T6SS in K. pneumoniae, we downloaded 700 K. pneumoniae genomes from NCBI, selected to represent the broad phylogenetic structure of the species. Using the SecRet6 database we searched for genes orthologous to T6SS component genes (Fig 2A) and T6SS effector genes (Fig 2B) across the genome data set. Our analysis shows extensive diversity in T6SS genes across the K. pneumoniae species, with most of this diversity exhibited as high levels of sequence dissimilarity rather than loss of genes. This diversity is independent of population structure which is indicative of frequent and extensive recombination in the Klebsiella T6SS locus, analogous to that observed in capsule encoding regions [29]. To determine the potential diversity present in the key vgrG1 gene, we created a pangenome of the downloaded genomes and blasted all ~65,000 genes for orthologous sequences of the vgrG1 gene of Kp52145. Our analysis identified 33 different orthologous vgrG1 genes within the pangenome, suggesting that extensive T6SS diversity occurs at all levels from component genes through to the essential-for-function vgrG1.
Diversity of T6SS component (A) and effector (B) genes across 500 K. pneumoniae genomes. Each horizontal block represents an individual gene present in the SecRet6 database. Presence of the gene at greater than 80% nucleotide diversity is represented by a blue block. Absence, indicated by lack of an orthologous gene sequence at greater than 25% nucleotide identity is presented by a red block. Orthologous sequences at a nucleotide identity between 25% and 80% are represented by yellow blocks.
Kp52145 does not outcompete Escherichia coli in a T6SS-dependent manner in Lysogeny broth
The T6SS of different pathogens has been shown to mediate killing of other bacteria. To determine whether Kp52145 exhibits T6SS-mediated antibacterial activity, we used strain E. coli MG1655 harbouring a plasmid conferring resistance to apramycin as prey in bacterial killing assays (Table 1). Co-incubation of E coli with Kp52145 showed no difference in killing of E. coli, while a dramatic reduction was observed when E. coli was incubated with S. marcescens Db10 (S2 Fig). In an attempt to understand the lack of antibacterial effect of Kp52145 T6SS, we hypothesized that the K. pneumoniae capsule polysaccharide (CPS) interferes with the contact-dependent killing. We then tested the cps-deficient strain 52145-ΔmanC for killing of E. coli. However, the cps mutant did not kill E. coli in these conditions, suggesting that the presence of CPS does not interfere with T6SS-dependent killing.
Environmental signals affecting K. pneumoniae T6SS expression
To explain the lack of T6SS-dependent killing of Kp52145 when bacteria are grown in lysogeny broth (LB) we speculated that the expression of Kp52145 T6SS is regulated by environmental signals in the hope of identifying conditions in which the system could be up-regulated. To investigate the T6SS transcriptional pattern, we constructed one reporter strain carrying nondisruptive chromosomal transcriptional fusion containing a promoterless luciferase firelfly gene (lucFF) under the control of the promoter region of the first gene of the T6SS gene locus I, tssB::lucFF. We focused on locus I because this is the conserved one in Klebsiella strains, and it encodes essential components known to be necessary to assemble a T6SS. We first investigated whether growth phase may affect the pattern of expression of the tssB::lucFF fusion. The highest levels of luciferase activity were observed when the reporter strain reached mid-exponential phase (S3A Fig). Therefore, luciferase activity was measured at mid-exponential phase in subsequent experiments testing different environmental conditions. We next tested the impact of temperature, pH, oxygen tension, osmolarity and ionic strength, and iron levels on the expression of the transcriptional fusion. Results are shown as heat-map indicating when the luciferase activity peaked (Fig 3A). Full data set is uploaded in a public repository (EBI Biostudies, accession number S-BSST301). Experiments examining the impact of temperature established that luciferase activity was higher at 37°C than at 20°C (Fig 3A), and, therefore, the subsequent experiments testing other conditions were performed growing the reporter strain at 37°C. K. pneumoniae survives over a wide range of pH (pH 4.0 to 10.0). Luciferase activity was assayed in cultures grown in different buffered media inoculated in parallel. In the range of pH tested, luciferase activity peaked at pH 6.0 (Fig 3A). To get an indication whether T6SS expression might be regulated in response to oxygen tension, we assessed the effect of aeration using 5-ml cultures grown under the following conditions of increasing aeration: in a 15-ml tube incubated vertically shaking at 180 rpm (condition 1), in a 15-ml slanted tube (45o) shaking at 180 rpm (condition 2), in a 25-ml tube incubated vertically shaking at 180 rpm (condition 3), and in a 30-ml tube incubated vertically shaking at 180 rpm (condition 4) (Fig 3A). Vigorous aeration significantly reduced the luciferase levels compared to the 5-ml standing tube (condition 1), in which the oxygen tension is probably low (Fig 3A). Iron restriction conditions were achieved by growing the reporter strain in medium with increasing concentrations of the iron chelator 2–2’ bipyridyl. Luciferase levels peaked when bacteria were grown with the highest concentration of the iron chelator (Fig 3A), suggesting that low iron concentrations up-regulate the expression of the locus I of the T6SS. The effects of ionic strength versus osmolarity were tested in LB with increasing concentrations of salt (0 to 595 mM KCl) or rhamnose and sucrose. The levels of luciferase activity decreased similarly with increasing concentrations of the solutes, supporting that high osmolarity down-regulates the expression of this T6SS locus (Fig 3A). However, high levels of NaCl did not have an inhibitory effect, and, in fact, we observed a significant increase in the luciferase activity when bacteria were grown in LB containing 595 mM NaCl (Fig 3A), suggesting that the environment signal triggered by NaCl is the sodium concentration.
(A) Heat-map analysis of the luciferase levels of the transcriptional fusion tssB::lucFF in the background of the wild-type strain grown until exponential phase at different temperatures (Temp); pH (LB was buffered as follows: 100 mM MES pH 5.5 and 6, HEPES pH7, MOPS pH8), oxygen tension (1, 15-ml tube incubated vertically shaking at 180 rpm; 2, 15-ml slanted tube (45o) shaking at 180 rpm; 3, 25-ml tube incubated vertically shaking at 180 rpm; 4, 30-ml tube incubated vertically shaking at 180 rpm), and different concentrations of KCl, rhamnose, sucrose, NaCl and the iron chelator 2–2’ bipyridyl. (B, C) Bacterial killing mediated by Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔclpV complemented with pBADClpV (ΔclpV/pBADClpV) against E. coli MG1655. Induction of the pBAD ara promoter with arabinose (0.1%) is indicated. After 6 h incubation in LBpH6, and LBNaCl bacteria were recovered, diluted in PBS 0 to 10−5 and spotted in LB agar plate. The data are presented as means ± the standard deviations (n = 3). #, P < 0.0001, n.s., (P > 0.05) not significantly different from the results for mock-treated bacteria; one-way ANOVA Bonferroni correction for multiple comparisons. (D) Western blot analysis using an anti-VSV-G antibody demonstrating the presence of Hcp1 (16 kDa) in the supernatants and cell pellets of K. pneumoniae CIP52.145 (WT), and 52145-ΔtssB (ΔtssB) grown in LB, LBpH6, and LBNaCl. Membranes were reprobed wih antibody anti RNA Polymerase α. Image is representative of three independent experiments.
To investigate the transcriptional pattern of the other two T6SS loci, we constructed two additional reporter strains in which lucFF was under the control of the promoter regions of tssK2 and sciZ3 encoded in locus II and locus III, respectively (Fig 1). The expression of both fusions was also higher in the exponential phase of growth (S3 Fig). The expression of sciZ3::lucFF followed similar pattern than that of tssB;;lucFF, whereas the expression of tssK2::lucFF was not upregulated by iron restriction, ionic strength and osmolarity (S4 Fig). Full data set is uploaded in a public repository (EBI Biostudies, accession number S-BSST301).
Of all the conditions tested, the highest luciferase levels of the tssB::lucFF fusion were observed when Kp52145 was grown in LB buffered to pH 6 (LBpH6), and in LB containing 595 mM NaCl (LBNaCl). Therefore, we sought to determine whether Kp52145 may exhibit T6SS-mediated antibacterial activity in these conditions. Kp52145 killed E. coli when Klebsiella was grown in LBpH6 (Fig 3B) and LBNaCl (Fig 3C), the latter condition being in which less E. coli was recovered. However, this was not the case when E. coli was co-incubated with Kp52145 clpV mutant (Fig 3B and 3C). Complementation of the clpV mutant restored the killing of E. coli prey, indicating that Kp52145-triggered E. coli killing is T6SS dependent (Fig 3B and 3C). We did not observe any difference in E. coli recovery when co-incubated with either the wild type or the cps mutant (S5 Fig), reinforcing the notion that K. pneumoniae CPS does not interfere with T6SS-dependent killing.
To further confirm that Kp52145 T6SS is active when bacteria are grown in LBpH6 and LBNaCl, we assessed the presence of Hcp in culture supernatants. The secretion of Hcp is considered an indicator of a functional T6SS [18,30]. The Hcp1 (locus tag BN49_2467, encoded in the locus I) was fused to a VSV-G tag at the C terminus and cloned into pBAD30 to give pBADHcp1. The plasmid was transferred to the wild-type strain, and the tssB mutant, and Hcp1 levels were assessed by immunoblotting after induction of the ara promoter of pBAD with arabinose. Immunoblotting experiments using anti-VSV-G antibodies showed that Hcp1 was expressed in the cytosol of both strains. However Hcp1 was only detected in the supernatants of the wild-type strain grown in LBpH6 and LBNaCl (Fig 3D), further confirming that the T6SS is functional and secretes Hcp, a hallmark T6SS protein, when Kp52145 is grown in LBpH6 and LBNaCl.
Regulatory networks controlling K. pneumoniae T6SS expression
To further characterize the regulation of Kp52145 T6SS, we sought to identify regulators controlling the expression of the T6SS when Klebsiella is grown under different conditions. We focused on the regulation of locus I since our previous results showed that the expression pattern of this locus correlates with the function of the T6SS using as read-outs antibacterial competition and Hcp1 secretion. The tssB::lucFF transcriptional fusion was introduced into phoQ, mgrB, rcsB, h-ns, fur, hfq, rpoS, rpoN, and pmrAB mutants, and the amount of light determined. When the reporter strains were grown in LB, the expression of tssB::lucFF was significantly higher in the h-ns, mgrB and rcsB mutant backgrounds than in the wild-type one (Fig 4A). In contrast, the activity of the transcriptional fusion was lower in the phoQ, pmrAB, hfq, fur, rpoS, and rpoN backgrounds than in the wild-type one (Fig 4A). As anticipated, E. coli was not killed when co-incubated with rpoN, rpoS, hfq, fur and pmrAB mutants (Fig 4B). However, the increased expression of the fusion in the h-ns, mgrB and rcsB mutant backgrounds resulted in increased activity of the T6SS because co-incubation of the h-ns, mgrB and rcsB mutants with E. coli in LB resulted in a significant reduction in E. coli survival (Fig 4B). The fact that studies from our laboratory have demonstrated that phoPQ expression is up regulated in the mgrB and rcsB mutant backgrounds [31,32] suggests that the up-regulation of tssB::lucFF in the mgrB and rcsB backgrounds was due to up-regulation of phoPQ. Supporting this hypothesis, the activity of the transcriptional fusion was downregulated in the double mutants mgrB-phoQ and rcsB-phoQ backgrounds (Fig 4A), and E. coli was not killed when co-incubated with the double mutants mgrB-phoQ and rcsB-phoQ (Fig 4B).
(A) Analysis of the T6SS expression by Kp52145, 52145-Δhfq (hfq), 52145-ΔphoPQGB (phoPQ), 52145-ΔpmrAB (pmrAB), 52145-Δfur (fur), 52145-Δhn-s (hn-s), 52145-ΔrpoS (rpoS), 52145-ΔrpoN (rpoN), 52145-ΔmgrB (mgrB), 52145-ΔmgrB-ΔphoPQGB (mgrB-phoPQ), 52145-ΔrcsB (rcsB), and 52145-ΔrcsB-ΔphoPQGB (rcsB-phoPQ) carrying the transcriptional fusion tssB::lucFF and grown in LB. Luminescence is expressed as relative light units (RLU). The data are presented as means ± the standard deviations (n = 3). *#, results are significantly different (P < 0.0001 [two-tailed t test]) from the results for Kp52145; ***, results are significantly different (P < 0.001 [two-tailed t test]) from the results for Kp52145. (B) Bacterial killing activity mediated by Kp52145, 52145-Δhfq (hfq), 52145-ΔphoPQGB (phoPQ), 52145-ΔpmrAB (pmrAB), 52145-Δfur (fur), 52145-Δhn-s (hn-s), 52145-ΔrpoS (rpoS), 52145-ΔrpoN (rpoN), 52145-ΔmgrB (mgrB), 52145-ΔmgrB-ΔphoPQGB (mgrB-phoPQ), 52145-ΔrcsB (rcsB), and 52145-ΔrcsB-ΔphoPQGB (rcsB-phoPQ) against E. coli MG1655. Mock, PBS-treated E. coli. Number of recovered target cells following 6 h incubation in LB is indicated. The data are presented as means ± the standard deviations (n = 3). ***, results are significantly different (P < 0.001 [two-tailed t test]) from the results for Kp52145.
The expression of the fusion tssB::lucFF in the different strains’ backgrounds was also assessed growing the reporter strains in LBpH6 and LBNaCl. Neither in LBpH6 nor in LBNaCl we observed the up-regulation of the fusion in any mutant background (S6A Fig and S6B Fig). In contrast, the activity of the fusion was significantly down-regulated in the phoQ, pmrAB, hfq, fur, rpoS, and rpoN mutant backgrounds in both media (S6A Fig and S6B Fig). As expected, the phoQ, pmrAB, hfq, fur, rpoS, and rpoN mutants did not kill E. coli when grown in either LBpH6 or LBNaCl. (S6C Fig and S6D Fig). The activity of the tssB::lucFF fusion was downregulated in the h-ns mutant background only in LBpH6 (S6A Fig), and this result correlated with a lack of killing of the E. coli prey in LBpH6 (S6C Fig).
Collectively, these findings uncovered the correlation between the transcription of the T6SS and the ability to kill E. coli. Whereas H-NS repressed the T6SS in LB, PhoPQ, PmrAB, Hfq, Fur, RpoS and RpoN positively regulated the T6SS in all the conditions tested.
Expression and activity of K. pneumoniae T6SS is enhanced by antimicrobial peptides
Polymyxin B and E (colistin) are antimicrobial peptides used as the “last-line” antibiotics against multidrug resistant K. pneumoniae infections. We and others have reported that challenging Klebsiella with polymyxins induces transcriptional changes affecting the pathogen pathophysiology [32–34]. We sought to establish whether incubation of Kp52145 with sub lethal concentrations of polymyxins will affect the activity of the T6SS. Incubation of Kp52145 with sub lethal concentrations of either polymyxin B or colistin resulted in a significant decrease of E. coli recovery in LB (Fig 5A). When the experiments were performed testing Kp52145 clpV mutant, we did not detect any decrease in the recovery of E. coli, indicating that the observed inhibition is T6SS-dependent (Fig 5A). These findings prompted us to investigate whether other antimicrobial peptides will also increase the activity of Kp52145 T6SS. We tested human β-defensin 3 (HBD3) because the levels of this peptide increase several fold during human pneumonia [35]. A sub lethal concentration of HBD3 also triggered a significant decrease in the recovery of E. coli when co-cultured with Kp51245 but not when the clpV mutant was tested (Fig 5B), indicating that the increased Kp52145-mediated killing is T6SS-dependent.
(A, B) Sub lethal concentrations of polymyxin B (0.1 μg/ml), colistin (0.1 μg/ml), and human β-defenisn 3 (0.1 μg/ml) increase T6SS-dependent bacterial antagonism. Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔphoPQGB (ΔphoPQ), and 52145-ΔphoPQGBCom (ΔphoPQ::phoPQ) were incubated with the peptides for 90 min before, co-incubation with E. coli MG1655 prey in LB agar plates supplemented with the peptides for 6 h. Control experiments showed that incubation of E. coli with these sub lethal concentrations did not affect its recovery in the absence of predator bacteria. Number of recovered target cells in LB is indicated. The data are presented as means ± the standard deviations (n = 3). #, P < 0.0001, n.s. (P > 0.05), not significant differences from the results for PBS-treated (mock) E. coli; one-way ANOVA Bonferroni correction for multiple comparisons. (C) Expression of phoPQ by Kp52145 carrying the transcriptional fusion phoP::lucFF after incubation with sub lethal concentrations of polymyxin B (PxB, 0.1 μg/ml) and colistin (Col, 0.1 μg/ml), and human β-defenisn 3 (HBD3, 0.1 μg/ml) for 90 min. Luminescence is expressed as relative light units (RLU). The data are presented as means ± the standard deviations (n = 3). #, results are significantly different (P < 0.0001 [two-tailed t test]) from the results for PBS-treated (mock) Kp52145. (D, E, F) Expression of T6SS by Kp52145, 52145-ΔphoPQGB (ΔphoPQ), and 52145-ΔphoPQGBCom (ΔphoPQ::phoPQ) carrying the transcriptional fusion tssB::lucFF after incubation with sub lethal concentrations of polymyxin B (PxB, 0.1 μg/ml) and colistin (Col, 0.1 μg/ml), and human β-defenisn 3 (HBD3, 0.1 μg/ml) for 90 min. Luminescence is expressed as relative light units (RLU). The data are presented as means ± the standard deviations (n = 3). #, results are significantly different (P < 0.0001 [two-tailed t test]) from the results for PBS-treated Kp52145 (mock), and the indicated comparisons.
Based on the knowledge that antimicrobial peptides activate the PhoPQ system [36] and that PhoPQ controls the expression of Kp52145 T6SS, we asked whether antimicrobial peptides upregulate the expression of the Kp52145 T6SS in a PhoPQ-dependent manner. As we expected, sub lethal concentrations of polymyxins and HBD3 increased the activity of the phoP::lucFF fusion (Fig 5C). The luciferase activity of the tssB fusion was up regulated by polymyxins and HBD3 in a PhoPQ-dependent manner because the antimicrobial peptides did not trigger the upregulation of the transcriptional fusion in the phoQ mutant background (Fig 5D–5F). Complementation of the phoQ mutant restored luciferase levels (Fig 5D–5F). Altogether, these results suggest that antimicrobial peptides activate the PhoPQ two-component system which, in turn, positively regulates Kp52145 T6SS resulting in increased T6SS-dependent antimicrobial activity. Therefore, we hypothesized that antimicrobial peptides-induced T6SS-dependent killing should be abrogated in the phoQ mutant background. Indeed, this was the case (Fig 5A and 5B). Complementation of the phoQ mutant restored the killing potential of the phoQ mutant to wild-type levels (Fig 5A and 5B).
K. pneumoniae T6SS mediates intra and inter species bacterial competition in a PhoPQ-controlled manner
To establish whether Kp52145 T6SS possess the capacity to mediate intra species antagonism, we tested whether Kp52145 exerts antibacterial activity against K. pneumoniae strains ATCC43816, and NTUH-K2044 in a T6SS-dependent manner. Quantitative competition assays revealed that Kp52145 killed both K. pneumoniae strains (Fig 6A and S7A Fig). However, this was not the case when the Klebsiella prey strains were co-incubated with the Kp52145 clpV mutant (Fig 6A and S7A Fig), indicating that Kp52145-triggered killing of kin is T6SS-mediated. Similar experiments were carried to investigate whether Kp52145 T6SS mediates inter species competition. We found that Kp52145 reduced populations of Acinetobacter baumannii strains ATCC17978 and DSM3001 (Fig 6B and S7B Fig) and Burkholderia cenocepacia K56-2 (Fig 6C) in a T6SS-dependent manner. Complementation restored the killing ability of the clpV mutant (Fig 6A–6C). For these experiments, A. baumannii ATCC17978 was cured of plasmid pAB3 that suppresses the T6SS activity of this strain [37].
(A, B, C) T6SS-dependent anti-bacterial activity as determined by recovery of target organisms K. pneumoniae ATCC43816 (Kp43816), A. baumannii ATCC17978 (17978), and B. cenocepacia K56-2 (K56-2) following incubation with Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔclpV complemented with pBADClpV (ΔclpV/pBADClpV), 52145-ΔphoPQGB (ΔphoPQ), and 52145-ΔphoPQGBCom (ΔphoPQ::phoPQ). Induction of the pBAD ara promoter with arabinose (0.1%) is indicated. (D, E, F) T6SS-dependent anti-bacterial activity as determined by recovery of target T6SS mutants 43816-ΔtssB, 17978- ΔtssM, and K56-2-Δhcp following incubation with Kp52145. In all panels, the data are presented as means ± the standard deviations (n = 3). #, P < 0.0001, n.s. (P > 0.05), not significant differences from the results for PBS-treated (mock) target cell; one-way ANOVA Bonferroni correction for multiple comparisons.; one-way ANOVA Bonferroni correction for multiple comparisons.
Interestingly, Kp52145 T6SS-triggered killing of Klebsiella, Acinetobacter and Burkholderia was observed in LB, condition in which we have shown Kp52145 did not exert T6SS-mediated antibacterial activity against E. coli prey. Previous studies in P. aeruginosa demonstrated that T6SS-depending killing is stimulated by T6SS activity occurring in the prey species [38]. Control experiments confirmed that K. pneumoniae strains ATCC43816 and NTUH-K2044, and A. baumannii and B. cenocepacia killed E. coli prey using their T6SS under our assay conditions (S8 Fig), uncovering the functional activity of their T6SS. When Kp52145 was co-incubated with any of the T6SS mutants of the K. pneumoniae strains, A. baumannii strains and B. cenocepacia there was no reduction in the recovery of the prey (Fig 6D–6F, S7C Fig, S7D Fig).
These results suggested that co-cultivation of K. pneumoniae with organisms possessing an active T6SS leads to an increased activity of the T6SS. To further investigate this hypothesis, we assessed the activity of the tssB::lucFF transcriptional fusion when Kp52145 was co-incubated with K. pneumoniae ATCC43816 and NTUH-K2044, A. baumannii ATCC17978 and DSM3001 and B. cenocepacia K56-2 wild-type and T6SS mutant strains. Co-incubation with any of the wild-type strains resulted in a significant increase in the luciferase levels (Fig 7A–7C). In contrast, tssB::lucFF activity was not significantly different when Kp52145 was co-incubated with any of the T6SS mutants or with no bacteria (Fig 7A–7C), confirming that incubation with a prey with an active T6SS results in up-regulation of K. pneumoniae T6SS.
(A, B, C) Expression of T6SS by Kp52145 carrying the transcriptional fusion tssB::lucFF after co-incubation with K. pneumoniae ATCC43816 (Kp43816), 43816-ΔtssB (ΔtssB), K. pneumoniae NTUH-K20144 (NTUH), NTUH-ΔtssB (ΔtssB), A. baumannii ATCC17978 (17978), 17978- ΔtssM, A. baumannii DSM30011 (DSM), DSM-ΔtssM, B. cenocepacia K56-2 (K56-2), and K56-2-ΔatsRΔT6SS (ΔatsRΔT6SS). (D, E, F) Expression of phoPQ by Kp52145 carrying the transcriptional fusion phoP::lucFF after co-incubation with K. pneumoniae ATCC43816 (Kp43816), 43816-ΔtssB (ΔtssB), K. pneumoniae NTUH-K20144 (NTUH), NTUH-ΔtssB (ΔtssB), A. baumannii ATCC17978 (17978), 17978- ΔtssM, A. baumannii DSM30011 (DSM), DSM-ΔtssM, B. cenocepacia K56-2 (K56-2), and K56-2-ΔatsRΔT6SS (ΔatsRΔT6SS). In all panels, luminescence is expressed as relative light units (RLU) per CFU (x109). The data are presented as means ± the standard deviations (n = 3). #, P < 0.0001; ***, P <0.001; **, P < 0.01; n.s. not significant (P > 0.05) from the results for mock-treated Kp52145 (mock); one-way ANOVA Bonferroni correction for multiple comparisons.
We have previously demonstrated that PhoPQ activation results in up-regulation of Kp52145 T6SS. Therefore, we sought to determine whether co-incubation with prey with an active T6SS may up-regulate phoPQ expression. To investigate this question, we determined the activity of the phoP::lucFF transcriptional fusion when Kp52145 was co-incubated with the different preys. Indeed, luciferase activity of the phoP fusion was up-regulated when Kp52145 was co-incubated with preys with an active T6SS (Fig 7D–7F). In contrast, we observed no up-regulation of the fusion when Kp52145 was incubated with any of the T6SS mutants (Fig 7D–7F). To connect PhoPQ up-regulation with that of Kp52145 T6SS, we assessed whether co-incubation with a prey with an active T6SS will up-regulate tssB::lucFF activity in the phoQ mutant background. As we anticipated, co-incubation of the phoQ mutant with any of the wild-type strains of Klebsiella (S9A Fig), Acinetobacter (S9B Fig) and Burkholderia (S9C Fig) did not result in an increase in the tssB activity. In fact, the luciferase levels were down regulated in the phoQ mutant background (S9 Fig), further confirming the role of PhoPQ to regulate T6SS expression. Complementation of the phoQ mutant restored luciferase levels (S9 Fig). In good agreement with these findings showing that co-incubation of the prey with the phoQ mutant did not upregulate the expression of tssB::lucFF fusion, the phoQ mutant did not kill any of the Klebsiella, Acinetobacter and Burkholderia wild-type strains (Fig 6A–6C, S7A Fig and S7B Fig). Complementation restored the killing ability of the phoQ mutant (Fig 6A–6C, S7A Fig and S7B Fig).
Altogether, these findings demonstrate that K. pneumoniae T6SS mediates intra and inter species bacterial competition. Remarkably, this antagonism of competitors is only evident when the prey possess an active T6SS. The PhoPQ two component system governs the activation of K. pneumoniae T6SS in bacterial competitions.
The periplasmic domain of PhoQ is needed for the regulation of the T6SS
Studies have previously shown that the PhoQ periplasmic domain senses acid pH, divalent cations and antimicrobial peptides, and a patch of acid residues within this periplasmic sensor domain senses divalent cations and antimicrobial peptides [39]. Given that PhoPQ controls the regulation of the T6SS upon contact with prey with an active T6SS, we sought to determine whether the PhoQ periplasmic domain senses the attack of prey with an active T6SS. To address this question, the C-terminus of PhoQ was tagged with a FLAG epitope, and the construct cloned into pGP-Tn7-Cm to give pGP-Tn7-CmphoPQFLAG to complement Kp52145 phoQ mutant. PhoQ-FLAG tagged restored the luciferase activity of the tssB::lucFF transcriptional fusion upon incubation of the phoQ mutant with the T6SS active preys K. pneumoniae ATCC43817 (Fig 8A), and A. baumannii ATCC17978 (Fig 8B). In contrast, complementation of the phoQ mutant with a construct in which phoQ lacked the periplasmic domain, phoQ45-190, did not restore luciferase levels (Fig 8A and 8B). Furthermore, complementation with a phoQ in which the acid patch (EQGDDSE) within the periplasmic domain was mutated to (GNNNNAQ), phoQGNNNNAQ, did not result in upregulation of the tssB::lucFF transcriptional fusion upon incubation of the phoQ mutant with the T6SS active preys (Fig 8A and 8B). The luciferase activity of the tssB fusion was not up regulated by colistin when the phoQ mutant was complemented with either the phoQ lacking the periplasmic domain or the mutated acidic patch (S10A Fig). The PhoPQ-controlled up regulation of the tssB::lucFF transcriptional fusion when Klebsiella was grown in LBpH6 and LBNaCl was not observed in any of the phoQ variants (S10B Fig). In good agreement with our previous results demonstrating that the PhoPQ system controls the activation of the T6SS in bacterial competitions, only the PhoQ-FLAG tagged recovered the reduction of K. pneumoniae ATCC43817, A. baumannii ATCC17978 preys upon co-incubation with phoQ mutant (Fig 8C and 8D). Complementation with phoQ45-190 and phoQGNNNNAQ did not restore Kp52145 T6SS-mediated killing of the T6SS active preys (Fig 8C and 8D). Western blot analysis confirmed that the PhoQ FLAG tagged proteins were expressed by Kp52145 although the levels of PhoQ45-190 were lower than those of PhoQ and PhoQGNNNNAQ, (S10C Fig).
(A, B) Expression of T6SS by Kp52145, 52145-ΔphoPQGB (ΔphoPQ), 52145-ΔphoQGBComFLAG (ΔphoPQ::phoPQFLAG), 52145-ΔphoQGBComPhoQ45-190 (ΔphoPQ::phoPQ45-190), and 52145-ΔphoQGBComPhoQGNNNNAQ (ΔphoPQ::phoPQGNNNNAQ) carrying the transcriptional fusion tssB::lucFF after incubation with K. pneumoniae ATCC43816 (A) and A. baumannii ATCC17978 (B). Luminescence is expressed as relative light units (RLU) pero CFU (x109). #, results are significantly different (P < 0.0001) for the indictaed comparisons; n.s., not significant (P > 0.05) from the results for mock-treated Kp52145 (mock); one-way ANOVA Bonferroni correction for multiple comparisons. (C, D) T6SS-dependent anti-bacterial activity as determined by recovery of target organisms K. pneumoniae ATCC43816 (Kp43816) (C), A. baumannii ATCC17978 (17978) (D) following incubation with Kp52145, 52145-ΔphoPQGB (ΔphoPQ), 52145-ΔphoQGBComFLAG (ΔphoPQ::phoPQFLAG), 52145-ΔphoQGBComPhoQ45-190 (ΔphoPQ::phoPQ45-190), and 52145-ΔphoQGBComPhoQGNNNNAQ (ΔphoPQ::phoPQGNNNNAQ). In all panels, #, P < 0.0001, n.s. (P > 0.05), not significant differences from the results for PBS-treated (mock) target cell; one-way ANOVA Bonferroni correction for multiple comparisons. In all panels, the data are presented as means ± the standard deviations (n = 3).
Collectively, these findings revealed that the PhoQ periplasmic domain, and the acid patch within, is essential to activate K. pneumoniae T6SS upon incubation with T6SS active competitors, and by the last-line antibiotic colistin.
Contribution of K. pneumoniae VgrGs to bacterial killing
Our bioinformatic analysis revealed that Kp52145 encodes three VgrGs, making it relevant to investigate the relative contribution of each of them to bacterial killing under different conditions. We constructed single vgrG mutants, double mutants lacking two vgrGs, and a triple mutant lacking all vgrGs, and Kp52145-mediated T6SS killing was assessed. Quantitative killing assays using E. coli as a prey revealed that when E. coli was incubated with the vgrG1 mutant there was no killing of the prey when strains were grown in either LBpH6 or LBNaCl (S11A Fig and S11B Fig). Complementation of the vgrG1 mutant restored Kp52145-triggered E. coli killing (S11A Fig and S11B Fig). Interestingly, co-incubation of E. coli with vgrG2 or vgrG4 single mutants resulted in an increase of E. coli recovery when bacteria were grown in LBpH6 and LBNaCl, respectively (S11A Fig and S11B Fig). Complementation of the mutants restored Klebsiella-mediated killing of E. coli (S11A Fig and S11B Fig). When E. coli was incubated with any double mutant lacking vgrG1, we did not observe any reduction in E. coli population in any growth condition (S11A Fig and S11B Fig). Co-culture of E. coli with the double mutant vgrG2-vgrG4 also resulted in no decrease in bacterial recovery in any growth condition (S11A Fig and S11B Fig). As anticipated, the triple mutant did not kill E. coli in any growth condition (S11A Fig and S11B Fig). VgrG1 and VgrG4 also mediated the increased activity of the T6SS upon incubation with sub lethal concentrations of colistin as observed by an increase in the recovery of E. coli when co-cultured with vgrG1 and vgrG4 single mutants (S11C Fig). Complementation of the mutants restored wild-type-triggered killing (S11C Fig). We observed no differences in the recovery of E. coli when co-cultured with either Kp52145 or the vgrG2 mutant (S11C Fig). Altogether, these results suggest that VgrG1 plays an essential role in Klebsiella-mediated killing whereas VgrG2 and VgrG4 contribute to T6SS-dependent killing depending on the growth conditions.
We next sought to determine the relative contribution of each VgrG in inter, and intra bacterial species killing. Co-culture of the vgrG1 mutant with K. pneumoniae ATCC43816 (Fig 9A), A. baumannii ATCC17978 (Fig 9B), and B. cenocepacia K56-2 (Fig 9C) resulted in no killing of any the preys. Interestingly, we observed no increase in the recovery of any of the preys when co-incubated with the vgrG2 mutant. In contrast, co-incubation of the preys with vrgG4 mutant resulted in an increase in the recovery of Klebsiella (Fig 9A), Acinetobacter (Fig 9B) and Burkholderia (Fig 9C). Complementation of vgrG1 and vgrG4 mutants restored Kp52145-dependent killing of the preys (Fig 9A–9C), demonstrating that Kp52145 T6SS-dependent intra and inter species bacterial competition is dependent on VgrG1 and VgrG4.
(A, B, C) T6SS-dependent anti-bacterial activity as determined by recovery of target organism K. pneumoniae ATCC43816 (Kp43816), A. baumannii ATCC17978 (17978), and B. cenocepacia K56-2 (K56-2) following incubation with Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔvgrG1 (ΔvgrG1), 52145-ΔvgrG1 harbouring pBADVgrG1 (ΔvgrG1/ pBADVgrG1), 52145-ΔvgrG2 (ΔvgrG2), 52145-ΔvgrG4 (ΔvgrG4), 52145-ΔvgrG4 harbouring pBADVgrG4 (ΔvgrG4/ pBADVgrG4), 52145-ΔvgrG2-ΔvgrG1 (ΔvgrG2-ΔvgrG1), 52145-ΔvgrG1-ΔvgrG4 (ΔvgrG1-ΔvgrG4), 52145-ΔvgrG2-ΔvgrG4 (ΔvgrG2-ΔvgrG4), 52145-ΔvgrG2- ΔvgrG1-ΔvgrG4 (ΔvgrG2- ΔvgrG1-ΔvgrG4). In all panels, #, P < 0.0001, n.s. (P > 0.05), not significant differences from the results for PBS-treated (mock) target cell; one-way ANOVA Bonferroni correction for multiple comparisons. The data are presented as means ± the standard deviations (n = 3).
K. pneumoniae T6SS mediates fungal competitions
To determine whether Kp52145 T6SS also mediates antifungal competition, we co-incubated Kp52145 with the clinically important fungal pathogen Candida albicans and the model yeast Saccharomyces cerevisiae. Co-culture of Kp52145 with both organisms resulted in a significant decrease in the recovery of yeast and fungal cells (Fig 10A and 10B). When the experiments were performed using the Klebsiella clpV mutant the recovery of Saccharomyces and Candida was not affected (Fig 10A and 10B). Complementation restored the killing ability of the clpV mutant, confirming that Kp52145-induced killing of the two yeast species is T6SS-dependent (Fig 10A and 10B).
(A, B) T6SS-dependent anti-bacterial activity as determined by recovery of target organism C. albicans, and S. cerevisiae following incubation with Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔclpV complemented with pBADClpV (ΔclpV/pBADClpV), 52145-ΔvgrG1 (ΔvgrG1), 52145-ΔvgrG1 harbouring pBADVgrG1 (ΔvgrG1/ pBADVgrG1), 52145-ΔvgrG2 (ΔvgrG2), 52145-ΔvgrG2 harbouring pBADVgrG2 (ΔvgrG2/ pBADVgrG2), 52145-ΔvgrG4 (ΔvgrG4), 52145-ΔvgrG4 harbouring pBADVgrG4 (ΔvgrG4/ pBADVgrG4). After 6 h incubation in LB, target cells were recovered, diluted in PBS 0 to 10−6 and spotted in YNB agar plate. Mock, PBS-treated C. albicans and S. cerevisiae. In all panels, #, P < 0.0001, n.s. (P > 0.05), not significant differences from the results for PBS-treated (mock) target cell; one-way ANOVA Bonferroni correction for multiple comparisons. The data are presented as means ± the standard deviations (n = 3).
We then investigated which of the VgrGs may play a role in Kp52145-dependent antifungal activity. Quantitative killing assays revealed an increase in C. albicans recovery when co-cultured with either vgrG2 or vgrG4 mutants (Fig 10A). Complementation of these mutants resulted in a decrease in the recovery of cell growth of C. albicans (Fig 10A), demonstrating that VgrG2 and VgrG4 are necessary for Kp52145-induced killing of C. albicans. VgrG4 was also necessary for Kp52145-mediated killing of S. cerevisiae because we observed an increase in the recovery of yeast when co-cultured with the vgrG4 mutant (Fig 10B). In contrast, no increase in recovery was observed when S. cerevisiae was co-incubated with either vgrG1 or vgrG2 mutants. Collectively, these findings highlight a role for VgrG4 in Klebsiella T6SS-mediated intoxication of fungal cells.
K. pneumoniae T6SS mutants are attenuated in the Galleria mellonella infection model
The G. mellonella infection model is well established to assess the virulence of K. pneumoniae [40]. Moreover, there is a good correlation between the virulence in G. mellonella and the mouse model [40]. To investigate whether the Kp52145 T6SS is necessary for the virulence of K. pneumoniae in G. mellonella, equal CFUs of Kp52145 and T6SS mutants were injected into G. mellonella and survival of the larvae was monitored over several days. Inoculation with sterile PBS into the larvae resulted in no mortality (Fig 11A). 90% of the larvae infected with 106 CFUs of the clpV and tssB1 mutants survived after 120 h. In contrast, only 15% of the larvae challenged with 106 CFUs of Kp52145 survived (Fig 11A). Infection with ATCC43816 and NTUH-K2044 tssB mutants also resulted in decrease mortality as compared to the wild-type strains (S12 Fig), demonstrating that the contribution of the T6SS to virulence in G. mellonella is not dependent on the K. pneumoniae strain background.
(A, B, C) Kaplan–Meier plots showing the per cent survival of G. mellonella over 120 h post-infection with 105 organisms of the following strains: Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔtssB (ΔtssB), 52145-ΔvgrG1 (ΔvgrG1), 52145-ΔvgrG2 (ΔvgrG2), 52145-ΔvgrG4 (ΔvgrG4), 52145-ΔvgrG2-ΔvgrG1 (ΔvgrG2-ΔvgrG1), 52145-ΔvgrG1-ΔvgrG4 (ΔvgrG1-ΔvgrG4), 52145-ΔvgrG2-ΔvgrG4 (ΔvgrG2-ΔvgrG4), 52145-ΔvgrG2- ΔvgrG1-ΔvgrG4 (ΔvgrG2- ΔvgrG1-ΔvgrG4). Thirty larvae were infected in each group. Level of significance was determined using the log-rank (Mantel–Cox) test with Bonferroni correction for multiple comparisons where applicable [a = (A) 0.0008; (B) 0.05]. P-values presented correspond to the difference between (A) Kp52145 and the other strains, (B) Kp52145 and 52145-ΔvgrG1 (ΔvgrG1), 52145-ΔvgrG2 (ΔvgrG2), (C) Kp52145 and the other strains.
We next sought to determine the relative contribution of Kp52145 VgrGs to virulence. 80% of the larvae infected with 106 CFUs of the vgrG1 and vgr2 mutants survived whereas there was no difference in survival between larvae challenged with the vgr4 mutant and the wild type (Fig 11B). There were no differences in the mortality triggered by any of the double vgrG mutants, and all of them killed only 25% of the challenged larvae after 120 h (Fig 11C). Infection with the triple mutant resulted in 100% survival of the infected larvae (Fig 11C). Control experiments confirmed no differences in the growth of any of these strains in LB and minimal medium (S13 Fig).
Altogether, these data provide evidence demonstrating that K. pneumoniae T6SS is essential for virulence in the G. mellonella infection model. Our results also revealed that Klebsiella pathogenicity in Galleria is combinatorial with all three vgrGs required to result in the overall virulence phenotype.
VgrG4 is a toxin inhibited by the antitoxin Sel1E
Bioinformatics analysis of VgrG4 revealed that it encodes a C-terminus containing a DUF2345 domain of unknown function (Fig 12A). The presence of C-terminal extensions in VgrGs is considered an indication of an effector function. Therefore, we sought to determine whether VgrG4 is an antibacterial toxin. VgrG4 was cloned into pBAD30 to control the expression of vgrG4 by arabinose. We also cloned vgrG1 and vgr2 into pBAD30 to assess whether expression of any of the other vgrGs may have any deleterious effect in E. coli. The plasmids were introduced into E. coli, and the toxicity of the proteins upon induction assessed by plating. Fig 12B shows that expression of VgrG1 and VgrG2 in E. coli had no impact on E. coli recovery. In stark contrast, induction of VgrG4 resulted in an 80% decrease in E. coli recovery (Fig 12A). To assess the relative importance of VgrG4 domains for the antibacterial effect, we constructed truncated variants of VgrG4 and investigated whether they retain the antibacterial effect. Whereas the VgrG41-517 derivative did not affect E. coli recovery, VgrG4570-899, containing the DUF2345 domain, exerted an antibacterial effect (Fig 12B), indicating that residues 570–899 are sufficient for the antibacterial effect. Moreover, VgrG4612-759 was enough to decrease E. coli recovery (Fig 12B), indicating that VgrG4 DUF2345 domain is sufficient to trigger a toxic effect. VgrG1 and VgrG2 also contain a DUF2345 domain. However, and in good agreement with the fact that VgrG1 did not exert a toxic effect, VgrG1603-750, containing DUF2345 domain, had no impact on E. coli recovery (Fig 12B). Control experiments confirmed the expression of the tagged versions of these proteins (S14 Fig).
(A) Model of VgrG4 domains. (B) Recovery of E. coli cells following induction of the ara promoter of the pBAD plasmid with arabinose (0.1%) for 60 min. #, P < 0.0001, n.s. (P >0.05), not significant differences from the results for bacteria harbouring pBAD30 without arabinose induction, one-way ANOVA Bonferroni correction for multiple comparisons.The data are presented as means ± the standard deviations (n = 3). (C) Growth on SD (glucose) and SG (galactose) plates of serial dilutions of wild-type YPH499 yeast cells harbouring the indicated plasmids, and therefore expressing under the control of the GAL1 promoter the corresponding proteins on galactose-based medium. Image is representative of three independent experiments. (D) Recovery of E. coli cells following induction of the Ara promoter of the pBAD plasmid with arabinose (0.1%), and the tac promoter of the pMMB207 plasmid with IPTG (1 mM) for 60 min. #, P < 0.0001, n.s. (P > 0.05), not significant differences from the results for bacteria harbouring pBAD30 and pMMB207 without induction, one-way ANOVA Bonferroni correction for multiple comparisons.The data are presented as means ± the standard deviations (n = 3).
We sought to determine whether VgrG4 will also exert a toxic effect when expressed in eukaryotic cells. VgrG4, VgrG1 and VgrG2 were expressed as a GST-fusion under the control of the inducible Gal1 promoter. We first evaluated their toxicity for the yeast cell upon induction in galactose-based medium, when the promoter is released from glucose-induced catabolic repression (S13 Fig). GST-VgrG4 caused a strong inhibition of yeast growth, whereas GST-VgrG2 from the same strain was only toxic at high incubation temperatures (37 ºC) (S15 Fig). In contrast, GST-VgrG1 showed no effect on yeast growth (S15 Fig). These results revealed the broad toxin function of VgrG4. By assessing truncated variants of VgrG4, we showed that the variant containing the DUF2345 domain was sufficient to kill S. cerevisiae (Fig 12C). Control experiments confirmed the expression of the truncated VgrG4 variants in S. cerevisiae (S15B Fig). Collectively, these results demonstrate that VgrG4 is a bona fide T6SS toxin and that the C-terminal extension containing the DUF2345 domain is sufficient for the antibacterial and anti-eukaryotic effect.
In T6SS, protection against kin cells is conferred by the production of immunity proteins that inhibit their cognate toxins. Immunity proteins are normally adjacent to the cognate toxin. Downstream of vgr4 there are five genes of unknown function encoding sel-1 repeats (Fig 1). To determine whether any of these genes assures protection against VgrG4, the genes were expressed from the pMMB207 plasmid in E. coli harbouring pBADVgrG4. Induction of Sel1D by IPTG did not alleviate VgrG4-triggered toxicity (Fig 12D). In contrast, induction of Sel1E abrogated VgrG4-dependent killing (Fig 12D). Furthermore, Sel1E also conferred protection against the toxicity triggered by VgrG4570-899 and VgrG4612-759 containing the DUF2345 domain (Fig 12D). Altogether, these results indicate that Sel1E is the immunity protein that protects against the toxic activity of VgrG4.
Sequence analysis and modelling of VgrG4
Since VgrG4 DUF2345 domain was shown to be responsible for the toxic effect of VgrG4, we wanted to further explore its structure by homology modelling, which is a common method for predicting the 3D structures of proteins based on the known structure of a related protein [41]. To date, the P. aeruginosa VgrG1 (hereafter PaVgrG1) is the only structurally known full-length VgrG protein. VgrG4 is however about 250 amino acids longer than PaVgrG1. Sequence analyses show that the K. pneumoniae VgrG proteins belong to the T6SS, RhsGE-associated Vgr protein (IPR006533) protein superfamily. PaVgrG1 belongs to the same superfamily, however, VgrG4 contains two domains that are not predicted to be found in PaVgrG1; the Putative type VI secretion system, Rhs element associated Vgr domain (residues 490–592; IPR028244) and the Domain of unknown function DUF2345, VgrG C-terminal (residues 612–759; IPR018769) (Fig 13A).
(A) The bar represents the VgrG4 sequence and depicts the different parts that were modelled (N-term: residues 1–563, Helix: residues 564–636, Repeat: residues 637–677, C-term: residues 678–739). VgrG4570-899 (teal) containing the DUF2345 domain (612–759) intoxicates bacteria and yeast whereas VgrG4838-899 does not. Monomeric 3D model of VgrG4 with the two regions of antiparallel beta strands (beta meander motif) encircled. (B) Trimeric homology model of VgrG4. The functional part of VgrG4570-899 (teal) starts with the unique helical domains and continues with the beta helical spike formed by 12 strands in each monomer. The separately modelled Helix part is inserted in the estimated location, however, the exact orientation in relation to the rest of the protein is unknown. A PAAR protein from Vibrio cholerae (PDB ID: 4jiv (23) is also shown to indicate the likely interaction site with the PAAR protein found in the VgrG4 locus. (C) Monomeric 3D model of VgrG4 with the two regions of antiparallel beta strands (beta meander motif) encircled.
The 3D model for VgrG4 was created using the PaVgrG1 structure (PDB IDs 4uhv [42]) as template for modelling. The trimeric VgrG4 forms a hollow tube with a larger head part (N-terminus) and a narrow spike (C-terminus), connected by a neck region (Fig 13B). The head, neck and N-terminal part of the spike (1–563) of VgrG4 was confidently modelled based on the PaVgrG1 crystal structure. The 3D fold of this part is almost identical to PaVgrG1 and the additional domains found in VgrG4 are located in the C-terminal part. Like PaVgrG1, the N-terminal head of VgrG4 contains 24 beta-strands and 4 alpha helices from each monomer as well as the irregular neck region connecting the head to the spike. The spike of the PaVgrG1 trimer is made up of 16 beta strands from each monomer, which forms a triangular-shaped beta helix. The spike fold of VgrG4, however, is disrupted after the ninth confidently modelled beta strand by a unique part lacking from PaVgrG1, which was separately modelled by I-TASSER [43]. This part (Helix, residues 564–636, Fig 13A) has two long, almost parallel, alpha helices protruding from the spike fold (Fig 13B). After the helical domain, the spike fold continues with 12 beta strands per monomer, since VgrG4 has 5 beta strands more than PaVgrG1. Similar to PaVgrG1, the VgrG4 spike has two regions of antiparallel strands (beta-meanders) located in opposite ends of the spike (Fig 13C). Beta helical structures, like the VgrG spike, are built upon a regular repeat pattern, which is formed by a repeat of eight residues, where 5–6 residues make up the beta strand and 2–3 residues form a loop between two beta strands [42]. Two hydrophobic residues of each beta strand are facing the interior of the spike in the beta-meander regions, whereas they are mainly polar in the region with parallel beta strands. Similar conserved patterns that stabilize the fold were detected in VgrG4 and assisted in identifying its second beta-meander region.
The modelled part (residues 1–739) ends with the putative PAAR interactions site (Fig 13B), which is followed by a proline-rich region that is unfavoured in beta strands and likely disrupts the beta helical spike. We could not model the remaining C-terminal part (residues 740–899) containing the non-functional VgrG4838-899 construct (Fig 13A). Thus, the DUF2345 domain containing part in the VgrG4 (Fig 13) that exerts antibacterial and antifungal effects is predicted to be formed by the unique alpha helical domain and the C-terminal part of the spike domain.
Sequence analysis and modelling of Sel1E
Our experiments show that Sel1E is the immunity protein for VgrG4 but that Sel1D is not able to protect against VgrG4 toxicity. To analyse the structural basis for this functional difference we compared the structures of Sel1E and Sel1D and analysed the evolutionary conservation of the sequences. According to the InterPro [44] sequence analysis tool, the Sel1 proteins belong to the Tetratricopeptide-like helical domain superfamily (IPR011990) and contains Sel1-like repeats (IPR006597). The Tetratricopeptide repeat (TPR) motif consists of a 34 amino acid consensus sequence that forms two antiparallel alpha helices connected by a turn. TPR motifs are found in functionally very different proteins, however, most are involved in protein-protein interactions [45]. The Sel1 repeat (SLR) sequence is very similar to the TPR motif but is usually 36–38 amino acids in length [46]. SignalP [47] and ScanProsite [48] predict that Sel1E does not contain a lipoprotein signal sequence. Localization predictions made with web servers Psortdb [49], CELLO [50] and Phobius [51] gave inconclusive results. Sel1E is about 70 residues longer than Sel1D (Fig 14A) and based on secondary structure predictions contains a long loop region at the C-terminal end with only a few predicted secondary structure elements. No information about potential domains or functions for this C-terminal region could be found through sequence analysis searches.
(A) Sequence alignment between Sel1D and Sel1E showing the residues (green) that are both variable and predicted to be exposed by ConSurf. (B) MODFOLD residue accuracy prediction for the Sel1E I-TASSER model. The colour scheme for the accuracy (Å): blue (high accuracy) through green, yellow and orange to red (low accuracy). (C) Electrostatic surface potentials for Sel1E. The close-ups show the variable residues (green; marked by an asterisk in (A), which contribute to the unique electrostatic potential surface of Sel1E, see text for more details. Due to the low confidence of the C-terminal part of the model, only the region of high confidence was used for the comparison. The electrostatic surfaces were calculated with the APBS tool (Adaptive Poisson–Boltzmann Solver) in PyMOL and the colour ranges from -7 to 7.
In order to model Sel1E we used the threading-based method I-TASSER where we specified as a restraint that the P. aeruginosa Pa5087 (PDB ID: 5jkp) [52] should be used as the structural template. The C-terminal part of the sequence not covered by the template was modelled independently by I-TASSER. Residues 28–289 were modelled with high confidence based on P. aeruginosa Pa5087 (5jkp). In the MODFOLD [53] residue accuracy prediction the region between residues 28–289 shows a high accuracy, whereas the C-terminal part show lower accuracy (Fig 14A). Thus, the I-TASSER model suggests that the N-terminal end of Sel1E shares the typical fold of SLR-proteins while the structure of the C-terminal region could not be accurately determined due to a lack of homologous structures.
Next, we used the ConSurf server [54] to predict exposed residues with potential for protein-protein interactions (Fig 14A) and calculated the electrostatic potential of the protein surface for the high confident region of the Sel1E model (Fig 14C). As our experiments show that SEl1D is not the immunity protein for VgrG4 (Fig 12D), we compared Sel1E and Sel1D and identified two regions with significant differences in the SelE and Sel1D sequences (Fig 14A, green asterisk). The first one is an acidic patch formed by Asp230 and Glu251 and several Ser and Thr residues (Fig 14C, top), whereas the second one is more positively charged due to the two Arg residues (Fig 14C, bottom). Taken together this indicates that these residues in the SLR domain of Sel1E could be important for the function of Sel1E and the interaction with VgrG4.
VgrG4-mediated antibacterial toxicity is dependent on reactive oxygen species
T6SS antibacterial effectors can attack a number of cellular targets, including the peptidoglycan, membranes and nucleic acids. However, bioinformatics comparisons of VgrG4 with other well-characterized effectors did not provide any useful information to predict the antibacterial action/target of VgrG4. Recent evidence supports the notion that lethal insults, such as antibiotics, antimicrobial peptides and phage challenges, trigger ROS which contributes to cell killing [55–57]. We therefore speculated whether the toxic effect of VgrG4 could be mediated by ROS induction. To test this hypothesis, we asked whether VgrG4 expression up regulates the expression of E. coli genes that respond to ROS stress [58]. Quantitative real time PCR (RT-qPCR) experiments revealed that expression of VgrG4 induced the expression of soxS, oxyS, oxyR, and katG (Fig 15A). The gene showing the strongest up regulation (more than 150-fold) was soxS, the transcriptional activator controlling the ROS regulon [58]. Moreover, VgrG4570-899 and VgrG4612-759 were sufficient to increase the expression of genes responding to ROS (Fig 15A). Interestingly, neither VgrG1 nor VgrG2 induced the expression of any of the VgrG4-upregulated genes (Fig 15A), indicating that VgrG4-induced transcriptional changes are specific. To test whether VgrG4 expression results in increased ROS levels, we used the general ROS fluorescence sensor CM-H2DCFDA [59]. We found that ROS levels were nearly 10-fold higher in E. coli expressing VgrG4 than in cells non-induced (S16A Fig). VgrG4570-899 and VgrG4612-759 were sufficient to increase ROS levels (S16A Fig). Single cell analysis by immunofluorescence further confirmed that VgrG4, VgrG4570-899, and VgrG4612-759 triggered ROS in E. coli (Fig 15B, S16B Fig and S16C Fig). Quantification of the microscopy images showed that only 1% bacteria (18 of 1620) were ROS positive if VgrG4 was not induced. In contrast, 99% bacteria (2370 of 2394) were ROS positive upon induction of VgrG4. Likewise, 99% and 84% bacteria were also ROS positive when VgrG4570-899, and VgrG4612-759 were induced (2202 of 2208 and 4828 of 5738, respectively). Moreover, Kp52145 induced ROS in E. coli cells in contact with Klebsiella in contrast to the vgrG4 and clpV mutants (S16D Fig). Complementation of vgrG4 restored Kp52145-induction of ROS in E. coli (S16D Fig). Quantitative analysis revealed that 10% of E. coli cells (291 of 2795) not in contact with Kp52145 were ROS positive. In stark contrast, 83% (2207 of 2663) of cells in contact with Kp52145 were ROS positive. Only 1% of E. coli cells in contact with the clpV and vgrG4 mutants were ROS positive (21 of 2191 and 15 of 2345, respectively). Complementation of vgrG4 resulted in 97% of E coli cells (3127 of 3215) being ROS positive.
(A) soxS, oxyS, oxyR, and kat levels assessed by RT-qPCR in E. coli harbouring the indicated plasmids following induction of the Ara promoter of the pBAD plasmid with arabinose (0.1%) for 60 min. When indicated, ascorbate (15 mM) was added to supplement LB. #, results are significantly different (P < 0.0001 [one-way ANOVA following Bonferroni correction for multiple comparions]) from the results for bacteria harbouring pBAD30. The data are presented as means ± the standard deviations (n = 3). (B) Single-cell analysis of ROS using the general ROS fluorescence sensor CM-H2DCFDA in E. coli harbouring pBADVgrG4 pMMBSel1E following induction with arabinose and IPTG for 60 min. Hoechst was used to stain bacterial DNA. Images are representative of three independent experiments. When indicated, ascorbate (15 mM) was added to supplement the culture media. (C) Recovery of E. coli cells following induction of the Ara promoter of the pBAD plasmid with arabinose (0.1%) for 60 min, and in the presence or absence of ascorbate in the growth medium. #, results are significantly different (P < 0.0001 [one-way ANOVA following Bonferroni correction for multiple comparions]) for the indicated comparisons. The data are presented as means ± the standard deviations (n = 3).
To determine whether VgrG4-induced ROS mediates cell killing, we asked whether a ROS scavenger, ascorbic acid [59], may rescue E. coli from VgrG4-mediated killing. We found that ascorbate fully protected E. coli from VgrG4, VgrG4570-899 and VgrG4612-759 -induced killing (Fig 15C). Further demonstrating the relationship between VgrG4-triggered ROS, and bacterial killing, ascorbate abolished VgrG4, VgrG4570-899 and VgrG4612-759-induced increased ROS levels (S16A Fig), and VgrG4, VgrG4570-899, and VgrG4612-759 -induced ROS in E. coli cells (Fig 15B, S16B Fig, and S16C Fig). Quantification of E. coli cells showed that no more than 2% of cells in which VgrG4, VgrG4570-899, and VgrG4612-759 were induced remained ROS positive when incubated with ascorbate (9 of 1740, 48 of 1860, and 10 of 4609, respectively). As expected, VgrG4, VgrG4570-899 and VgrG4612-759 did not upregulate the expression of E. coli genes that respond to ROS stress when bacteria were incubated with ascorbate (Fig 15A). Collectively, these findings demonstrate that ROS generation mediates the antibacterial effects of VgrG4.
Having previously established that Sel1E protects against VgrG4-mediated toxicity, we investigated whether Sel1E prevents VgrG4 induction of ROS. Expression of Sel1E abolished VgrG4, VgrG4570-899 and VgrG4612-759 -induced ROS in E. coli (Fig 15B, S16B Fig and S16C Fig). Analysis of the microscopy images showed that no more than 4% E. coli cells expressing Sel1E were ROS positive (15 of 1331, 18 of 1701 and 250 of 5796). Furthermore, Kp52145 did not trigger ROS in E. coli cells expressing Sel1E (S16E Fig). Only 17% of cells (511 of 3015) expressing Sel1E and in contact with Kp52145 were ROS positive. Control experiments showed that Sel1E is not a ROS scavenger because expression of Sel1E in E. coli did not prevent ethanol-dependent upregulation of ROS (S17A Fig). Analysis of the images revealed that ethanol induced ROS in 100% of E. coli cells (2659 of 2659) expressing Sel1E. As anticipated, VgrG4, VgrG4570-899 and VgrG4612-758 did not upregulate the expression of genes responding to ROS in E. coli expressing Sel1E (S17B Fig). Altogether, these results suggest that Sel1E inhibition of VgrG4-induced ROS mediates the protective effect of Sel1E.
Discussion
T6SS systems were initially studied for their interactions with eukaryotic cells, however substantial experimental data also argue for their role in microbial competition. Seminal studies probing P. aeruginosa, V. cholerae, A. baumannii, S. marcescens and E. coli have uncovered shared principles in terms of the structure of the secretion apparatus, and how effectors are secreted. However, these studies have also revealed significant differences between bacterial species, making it necessary to investigate different bacterial models to obtain a better picture of the intricacies of the system. In this study, we provide a comprehensive characterization of K. pneumoniae T6SS, demonstrating its role in microbial competition and uncovering new aspects on how bacteria regulate T6SS-mediated antagonism.
Our in silico analysis revealed a significant diversity in how the T6SS is organized in K. pneumoniae. Although all the strains analysed encode a complete T6SS including vgrG1, there is diversity in the effector(s) and accompanying immunity protein(s). Additionally, strains may carry additional T6SS loci each of them characterized by one vgrG and a set of effectors and immunity proteins. The diversity found in K. pneumoniae T6SS reflects the considerable genomic plasticity that is contained within this species as it has been shown in population studies of this pathogen [24]. Notably, the effectors found in the analysed genomes are not similar to any other effector found in other bacteria, suggesting that investigation of these effectors will lead to the identification of new capabilities of T6SS effectors. Future structure-function studies are warranted to capture the diversity of effectors in K. pneumoniae pangenome.
It was somewhat unexpected to find the lack of bactericidal activity of Kp52145 against E. coli prey in LB. This is one of the standard assays to demonstrate the activity of any T6SS. However, our result is not unprecedented. For example, the bactericidal activity of E. coli EHEC is not detected in vitro [60], and that of P. aeruginosa H1-T6SS is only observed in the background of mutants of the negative transcriptional regulator retS or the Threonine Protein Phosphorylation (TPP) pathway governing the posttranslational regulation of the T6SS [30,61]. On the contrary, the T6SS of S. marcescens Db10 and V. cholerae are constitutively active [18,62]. We can only speculate why these differences exist between species, but they may reflect the adaptation to niches with different pressures in term of microbial competition. Nonetheless, it is not unreasonable to control tightly the T6SS given the energy costs to assemble such a complex structure.
Here we have shown that environmental signals such as pH, iron, oxygen tension and osmolarity control the expression of K. pneumoniae T6SS. Interestingly, those conditions upregulating the expression of the system, slightly acidic pH, low oxygen tension, iron restriction, and low osmolarity, are known environmental cues which may be faced by Klebsiella while infecting the mucosal surfaces. The relevance of these signals in other niches, particularly the environment, is largely unknown. In fact, there is a gap in the knowledge of the environment niches which might be colonized by K. pneumoniae. To shed further light into the regulation of K. pneumoniae T6SS, we screened a panel of regulators to identify those controlling the expression of the T6SS. Our results demonstrate that H-NS is a negative regulator of K. pneumoniae T6SS. The fact that this is a shared feature with other bacteria supports the notion that H-NS acts as a general silencer of the T6SS [60,63,64]. Our findings also reveal that RcsB and MgrB are negative regulators of the T6SS. The latter is particularly relevant because the vast majority of K. pneumoniae isolates resistant to the last line antibiotic colistin encode loss of function mutations of mgrB [65,66]. It can be then postulated that the T6SS is upregulated in these strains, resulting in increased microbial antagonism activity. Mechanistically, we have established that the increase activity of the T6SS in the mgrB and rcsB mutant backgrounds is dependent on the upregulation of the two-component system PhoPQ. In fact, our data indicate that this system acts as a positive regulator of the T6SS. PhoPQ is widely recognized as one of the master regulators governing the bacterial surface of Gram-negative bacteria, chiefly the LPS. This is also true for K. pneumoniae, and, for example, the dramatic lipid A remodelling observed in mgrB and rcsB mutants is PhoPQ-dependent [31,32]. This raises an interesting question whether there is a linked between the T6SS and the lipid A structure. It may well be that the assemble of the T6SS may require a certain lipid A structure, or perhaps that Klebsiella, as a result of an adaptation to mucosal environment, coordinates the expression of the T6SS and the LPS to interact with the immune system and competing microbes. We envision that this scenario is relevant in the context of gut colonization. Future studies are warranted to investigate these questions.
Further supporting a connection between the T6SS and the LPS, we have shown that the LPS-interacting antimicrobial peptides, polymyxin B, colistin, and HBD3, upregulated the expression of the T6SS with a concomitant increase in the bactericidal activity. The facts that these agents trigger perturbations in the cell membrane, and that PhoPQ mediated this upregulation strongly suggest that an alteration of the cell membrane is the signal sensed by Klebsiella to control the expression of the T6SS. It is then not surprising that the PhoQ periplasmic domain, and the acid patch within it, is essential for PhoQ-mediated regulation of the T6SS because this same domain also senses cell surface perturbations caused by antimicrobial peptides [67]. Collectively, these findings support a model in which cell surface instability is a major signal controlling the T6SS. Interestingly, similar observations have been reported for P. aeruginosa [68,69]. Membrane targeting agents such as cation chelators, and polymyxin B also activate P. aeruginosa H1-T6SS [68,69]. However, it is important to mark that in Pseudomonas this activation is through posttranslational control whereas in Klebsiella is via transcriptional control.
Our data revealed that K. pneumoniae also perceives T6SS attacks from bacterial competitors, resulting in retaliation against the aggressive cell. The perception of the attack involves the PhoPQ system via transcriptional regulation of the T6SS. The fact that the periplasmic domain of PhoQ is required to sense the attack strongly argues that Klebsiella detects the envelope perturbation after T6SS-mediated perforation. Supporting this notion, K. pneumoniae does not antagonize attackers in which the T6SS was mutated. Nonetheless, we cannot rigorously exclude that Klebsiella might detect a common structural feature of the proteins located in the T6SS apparatus upon contact, or even the delivery of T6SS effectors.
In this study, we also show that K. pneumoniae T6SS mediates the intoxication of yeast species C. albicans and S. cerevisiae. Our results follow the landmark study demonstrating that S. marcescens displays antifungal activity [70]. This T6SS-dependent cross-kingdom antagonism may be a widespread feature of the T6SS because it has been already found in P. syringae [71], and the Serratia T6SS effector responsible for the fungi intoxication is also encoded by P. aeruginosa and V. cholerae [70]. The antifungal activity may result beneficial for Klebsiella given that fungi and Klebsiella colonize common sites such as the gut, and the respiratory system although it is also possible that this fungicidal action may be also important in the environment.
We have uncovered that K. pneumoniae has a preference for different VgrGs depending the conditions. VgrG1 is essential in all conditions tested except antifungal competition, VgrG2 is required for antibacterial competition in LBpH6, and antifungal competition, whereas VgrG4 is needed for antibacterial competition in LBNaCl, and to intoxicate kin, non-kin and fungi. Based on the in silico analysis shown in Fig 1, and the accepted notion that specific effectors are absolutely dependent on particular VgrG for delivery, we can then assume that K. pneumoniae exploits a different repertoire of effectors depending on the condition. Taken together, it can be postulated that K. pneumoniae T6SS forms at least three different assemblies, each of them characterized, at least, by one VgrG protein. Future studies are warranted to characterize structurally these putative different assemblies and to define the effector(s) delivered by each of them.
Another novel finding of this work is the identification of VgrG4 as a K. pneumoniae T6SS effector. To date, the only T6SS effectors characterized in K. pneumoniae are phospholipases [22,23]. Structurally, the DUF2345 domain of VgrG4 was sufficient to intoxicate bacteria and yeast. Based on the results presented in this work, we propose to name this domain as ROS toxic domain (RTD). Our homology model shows that the DUF2345 domain consists of a novel helical domain (Fig 13B) followed by the typical beta helical fold of the VgrG spike. Notably, this domain is present in other VgrGs and, therefore, it can be predicted that the effector function of this domain is widespread in different bacterial species. It is interesting to note that Serratia effectors showing anti-fungal activity were not toxic for bacteria [70], whereas we have shown that VgrG4 is toxic for both bacteria and fungi, uncovering the complexity and diversity of T6SS effectorts.
Flaugnatti and colleagues [72], have shown that DUF2345 domain present in entero-aggregative E. coli VgrG1 contributes to the delivery of the effector phospholipase Tle1. In fact, VgrG1 and VgrG2 also contain this domain and they were not toxic for E. coli. Furthermore, VgrG1 DUF2345 did not exert any toxic effect. Taken together the published evidence and the data presented here, we postulate that RTD like domains mediate trans-kingdom intoxication while most likely also deliver effectors. In the case of VgrG4 we postulate that the phospholipase effector PlD1, encoded downstream of VgrG4, will be the effector delivered (Fig 1A). On the other hand, VgrG1 and VgrG2 like DUF2345 domains will only deliver effectors. Future studies are warranted to test this hypothesis probing different DUF2345 domains found in VgrGs from different bacterial species.
VgrG4-mediated toxic effect is dependent on the induction of ROS because a known ROS scavenger rescued bacteria from VgrG4-induced lethality. Furthermore, VgrG4-induced ROS is sensed by the prey resulting in upregulation of systems aiming to alleviate ROS-imposed stress, chiefly those controlled by SoxS. Truncation experiments revealed that vgrG4 DUF2345 domain, now named as RTD, was sufficient to induce ROS, and the activation of soxS, further connecting lethality and ROS induction. In this work, we have also identified Sel1E as the VgrG4 antitoxin. Mechanistically, Sel1E inhibition of VgrG4-induced ROS mediates the protective effect of Sel1E. It is important to note that Sel1E is not a general ROS scavenger. Instead, and similarly to other T6SS antitoxins, we predict Sel1E will interact with VgrG4 to mitigate its toxic effect. The fact that Sel1E also blunts toxicity induced by the VgrG4 RTD domain and ROS induced by this domain suggests that this domain is the region of VgrG4 interacting with Sel1E. Based on our results, the SLR domain of Sel1E might mediate these interactions as the SLR repeat proteins are commonly involved in the protein-protein interactions [73].
To our knowledge, VgrG4 is the first T6SS effector for which a ROS-dependent lethality has been conclusively demonstrated. However, we believe that this can be a more widespread feature of T6SS effectors. Recently it has been shown that V. cholerae and A. baylyi T6SS attacks trigger ROS induction in the E. coli prey [57]. Our results add further evidence to the notion that ROS generation contributes to bacteria lethality. For example, and despite the initial controversy, substantial data support that antibiotic-induced ROS contributes to their bactericidal effect in addition to their primary lethal action [56,59]. Other lethal insults such as antimicrobial peptides, and phage attack also induce ROS and trigger the upregulation of soxS [57]. Taken together, these results indicate that ROS generation, and the concomitant effect of ROS in gene regulation, could be considered an early event in bacterial antagonism.
Materials and methods
Bacteria and growth conditions
Bacterial strains and plasmids used in this study are shown in Table 1. Kp52145 is a clinical isolate, serotype O1:K2, belonging to the virulent CC65 clonal complex. B. cenocepacia and A. baumannii strains have been described elsewhere and were kindly donated by Miguel Valvano, Mario Feldman and Suzana Salcedo. Unless otherwise indicated, bacteria were grown in 5-ml LB medium in a 15-ml plastic tube at 37ºC in a shaker (180 rpm). When appropriate media were supplemented with antibiotics at the following concentrations: ampicillin (Amp) 100 μg/ml, trimethoprim (Tmp) 100 μg/ml, tetracycline (Tet) 12.5 μg/ml, chloramphenicol (Cm) 25 μg/ml, kanamycin (Km) 50 μg/ml, carbenicillin (Cb) 50 μg/ml, apramycin (Apra) 50 μg/ml.
Growth curve analysis
For growth analyses, 5 μl of overnight cultures were diluted in 250 μl of LB, M9 minimal medium (5× M9 minimal salts [Sigma‐Aldrich] supplemented with 2% glucose, 3 mM thiamine, 2 mM MgSO4) or modified LB, and incubated at 37°C with continuous, normal shaking in a Bioscreen C Automated Microbial Growth Analyzer (MTX Lab Systems, Vienna, VA, USA). Optical density (OD, 600 nm, [OD600]) was measured and recorded every 20 min.
Capsule polysaccharide purification and quantification
Bacteria were grown overnight in 3 ml of LB medium (37°C, 180 rpm) with viable counts determined by dilution plating. The cultures were then harvested by centrifugation, and the cell pellet resuspended in 500 μl of sterile water. Each sample was then treated with 1% 3‐(N,N‐dimethyltetradecylammonio)propanesulphonate (Sigma‐Aldrich; in 100 mM citric acid, pH 2.0) at 50°C for 20 min. Bacterial debris was pelleted (3,220 × g, 10 min), and 250 μl of the supernatant were transferred to a clean 15‐ml glass tube. The CPS was ethanol‐precipitated at −20°C for 20 min and pelleted (9,447 × g, 10 min, 4°C). After removal of the supernatant, the pellet was then dried (5 min, 90°C) and resuspended in 200 μl of sterile water. CPS quantification was undertaken by determining the concentration of uronic acid in the samples, using a modified carbazole assay as previously described [74]. All samples were tested in duplicate.
String test
A loop was used to lift a portion of a colony from a fresh LB agar plate of K. pneumoniae. The formation of viscous strings of >5 mm in length indicates a positive string test [75]. The string test was done on nine randomly chosen colonies from three independent plates.
Bioinformatics mapping of the T6SS clusters
The unidentified genes within the T6SS clusters underwent a manual annotation process based on description of similarity. Pfam and COG database searches, as well as TMHMM and predictions were performed to improve the degree of annotation confidence, if necessary. Artemis, NCBI BLAST and SecRet6 database queries [76] were also used to statistically analyse unidentified proteins within the genomes of K. pneumoniae strains. These programs identify clusters of T6SS core components using HMMER, the amino acid sequence of the unknown proteins within the cluster are then blasted (BLASTP with a cut off of 105) to putatively identify genes.
To examine T6SS diversity across the wider K. pneumoniae population, we downloaded all available K. pneumoniae genomes from the NCBI SRA (as of November 2018), and constructed a MASH distance phylogeny. From this we selected 700 genomes to represent the phylogenetic diversity of the species. We performed de novo assembly using Spades v 3.12.0 [77] and annotation using Prokka v 2.9 [78]. The nucleotide sequence component and effector databases of SecRet6 were downloaded and converted into a blastable database in Abricate using the abricate–setupdb command on the downloaded sequence (https://github.com/tseemann/abricate). Using Abricate all 700 genomes were blasted against the T6SS databases individually, and the results combined into a single csv file using the abricate–summary command (S1 Data, S2 Data). A phylogenetic tree (S3 Data) of the 700 genomes was obtained using Parsnp [79]. In Parsnp, all 700 assembled genomes are rapidly aligned using localised colinear blocks of orthologous sequence, and the alignment used to create a rapid maximum likelihood phylogenetic tree, with branch lengths indicative of nucleotide substitutions per site. The gene presence-absence data from Abricate was visualised against the tree using Phandango [80]. To investigate the number of orthologs of vgrG1 we used the gene sequence from genome Kp52145 to blast against the 700 genomes using blastn. All genes returning an orthologous Blast hit of over 350 consecutive nucleotides with an e-value at or close to zero were selected and investigated by blastn against the non-redundant database to confirm their identity as likely vgrG1 orthologs.
Marker-less mutation in K. pneumoniae
PCR primers used to construct the mutants were designed using the whole genome sequence of Kp52145 (GenBank Accession No. FO834906.1). The primer pairs (S1 Table) were used in separate PCR reactions to amplify ~1000‐bp fragments flanking the gene to be mutated. BamHI restriction sites internal to these flanking regions were incorporated at the end of each amplicon. Purified fragments were then polymerised and amplified as a single PCR amplicon using the primers gene_UPFWD and gene_DWNRVS. These amplicons were cloned into pGEM‐T Easy (Promega), and transformed into E. coli C600. After EcoRI digestion of the plasmids, the purified fragments were cloned into EcoRI‐digested Antarctic Phosphatase (New England Biolabs)‐treated pGPI‐SceI‐2 suicide vector [81] to generate pGPI‐SceI‐2Δ_gene, and transformed into E. coli GT115 or SY327. pGPI‐SceI‐2Δ_gene was thereafter transformed into the diaminopimelate (DAP) auxotrophic E. coli donor strain β2163 [82], and mobilised into K. pneumoniae by conjugation. Selection of co‐integrant clones was undertaken using LB agar supplemented with Tmp at 37°C. A second crossover reaction was then performed by conjugating the pDAI‐SceI‐SacB plasmid [81] into a refreshed overnight culture containing three Tmp‐resistant co‐integrant clones. Exconjugants were selected on LB agar supplemented with Tet at 37°C. Candidate clones were checked for susceptibility to Tmp and then confirmed by PCR. Curing of the pDAI‐SceI‐SacB vector was performed by plating a refreshed overnight culture of one K. pneumoniae mutant colony onto 6% sucrose LB agar without NaCl at 30°C for 24 h. A single clone surviving the sucrose treatment was checked for susceptibility to Tet, confirmed by PCR and named 52145‐Δ_gene (Table 1). The CPS levels, the mucoviscosity, and the growth of the mutant strains were assessed as previously described. No differences were found between any of the mutants constructed and the corresponding isogenic wild-type strain.
Complementation of vgrG and clpV mutants
To complement the single vgrG and clpV mutants, a PCR fragment comprising the coding region of each vgrG was amplified using primers indicated in S1 Table. The amplicon was digested with EcoRI and HindII in the case of vgrG1 and vgrG4 and clpV, and ScaI and XbaI in the case of vgrG2. The fragments were gel-purified and cloned EcoRI-HindIII and ScaI-XbaI-digested pBAD30, respectively, to obtain pBADVgrG1, pBADVgrG2, pBADVgrG4 and pBADClpV (Table 1). These plasmid were transformed into E.coli β2163, and then mobilized into each of the Klebsiella vgrG and clpV mutants by conjugation.
Generation of the lucFF reporter fusion K. pneumoniae strains
A 1 kpb amplicon comprising the tssB, tssK2 and sciZ3 gene promoter regions were amplified using Phusion High‐Fidelity DNA Polymerase and the primers protssB / protssK / proomp_FWD and protssB / protssK / proomp_RVS (S1 Table). The amplicons were digested with EcoRI, gel‐purified, cloned into an EcoRI‐SmaI‐digested, Antarctic Phosphatase (New England Biolabs) pGPL01 suicide vector and then transformed into E. coli GT115 cells to obtain pGPLKpnProtssB, pGPLKpnProtssK2, and pGPLKpnPrsciZ3. Correct insertion of the amplicons were verified by restriction digestions with EcoRI and SmaI. Vectors were introduced into E. coli β2163, and then mobilised into K. pneumoniae strains by conjugation. Cultures were then serially diluted and checked for Amp resistance by plating on LB Cb agar at 37°C. Correct insertion of the vectors into the chromosome was confirmed by PCR using the relevant lucFF_check and promoter sequence primers (S1 Table).
Antibacterial competition assay
Attacker K. pneumoniae strains and preys were grown until mid-exponential phase, collected by centrifugation, washed three times with PBS, and resuspended in PBS to an OD600 of 1. Attacker and preys were mixed at 10:1 ratio, and the mixture spot it in a pre-warmed agar plate at 37°C. The mixture was incubated for 6 hours. Recovered cells were plated out on antibiotic selective media and viable cells were reported as recovery target cell representing the CFU per ml of the recovered prey after co-culture. Burkholderia strains were selected by plating on Tmp (50 μg/ml), Acinetobacter strains by plating on Cm (10 μg/ml), and Klebsiella strains by plating on Cb (50 μg/ml), All experiments were carried out with triplicate samples on at least three independent occasions.
Antifungal competition assay
S. cerevisiae and C. albicans were grown in YPD (Peptone (20% w/v), Yeast Extract (10% w/v), Dextrose (20% w/v)) overnight at 30 ºC with agitation (180 r.p.m.). Cells were then adjusted in PBS to yield 5x107 cells/ml. K. pneumoniae strains were grown to mid exponential phase, washed three times in PBS, and the suspension adjusted to an OD600 of 1 in PBS. Klebsiella and eukaryotic cells were mixed at a 10:1 ration (predator:prey), and 50 μl of the mixture were spotted in pre-warm LB plate and incubated for 6 h at 37°C. Cells were recovered, serially diluted in PBS and plated on YNB (YNB 0.67% w/v, Dextrose 20% w/v) medium containing Km. All experiments were carried out with duplicate samples on at least three independent occasions.
Luciferase activity
Overnight cultures of the K. pneumoniae reporter strains were refreshed until mid-exponential phase in the appropriated media. The cells were then pelleted, washed once in sterile PB buffer (1M disodium hydrogen orthophosphate, 1.5 mM potassium dihydrogen orthophosphate, pH 7.0) and adjusted to an OD600 of 1.0. One hundred microlitres of each suspension were added to an equal volume of luciferase assay reagent (1 mM d‐luciferin [Synchem] in 100 mM sodium citrate buffer pH 5.0), vortexed for 5 s and then immediately measured for luminescence (expressed as relative light units [RLU]) using a GloMax 20/20 Luminometer (Promega). All strains were tested in quadruplicate from three independent cultures.
To determine luciferase activity of bacteria grown in solid media, reporter strains were incubated with preys as described in the antibacterial competition assay for 6 hours. The mixture was then recovered with 1 ml of PB buffer in a microcentrifuge tube. Bacteria were collected by centrifugation (13,300 rpm, 2 mins), washed with 1 ml of PB buffer, and adjusted to an OD600 of 1.0. One hundred microlitres were used to assess luminescence. All strains were tested in quadruplicate from three independent cultures.
For those experiments in which reporter strains were incubated with Klebsiella, Acinetobacter and Burkholderia strains, pGEMTApra was introduced into the reporter strains by electroporation. Bacteria were incubated as indicated in the antibacterial competition assay. Luminescence was determined as previously described. The number of reporter bacteria in the sample was determined by plating on apramycin (50μg/ml). Results are expressed as RLU per CFU (x109). All strains were tested in triplicate from three independent cultures.
Site-directed mutagenesis of phoQ
The phoPQ promoter and coding region including a FLAG-tag was amplified by PCR using primers Kp52_PhoPQ_compF1 and Prom_PhoPQ_FLAG_R1, gel-purified and cloned in to pGEM-T Easy to give pGEMTPhoQPFLAG. To delete the periplasmic region of PhoQ, 45–190 aminoacids [39], we followed the protocol described by Byrappa and co-workers [83] using primers Kp52_PhoPQ_SDM_F2 and Kp52_PhoPQ_SDM_R2 (S1 Table), and Vent polymerase to obtain pGEMTPhoQ45-190. To mutate the acidic patch, aminoacids 148 to 154, within the periplasmic region of phoQ from EQGDDSE to GNNNNAQ, we used primers Kp52_PhoQ_Acidic_F2 and Kp52_PhoQ_Acidic_R2 to obtain pGEMTphoQGNNNNAQ. The region corresponding to phoQ in pGEMTPhoQ45-190 and pGEMTphoQGNNNNAQ were sequenced to ensure that no additional changes were introduced in the coding region. The wild-type and mutated alleles were obtained by EcoRI digestion, gel-purified and cloned into pUC18R6KT7mini-Cm vector to obtain pUC18r6KT7mini-Cm PhoQ45-190 and pUC18r6KT7mini-Cm phoQGNNNNAQ which were then transformed into E. coli C600 and thereafter into E. coli β2163. In addition, the transposase-containing pSTNSK-Tmp plasmid [84] was introduced to the 52145-ΔphoQ strain by electroporation to give 52145-ΔphoQ / pSTNSK-Tmp. This strain was then conjugated overnight with E. coli β2163 containing the phoQ alleles on LB agar supplemented with DAP at 30ºC. The retrieved mixture was then serially diluted in sterile PBS, plated onto LB Cm agar and incubated at 42ºC for 6.5 hours followed by overnight incubation at 37°C. The colonies grown were thereafter screened for resistance to Amp and susceptibility to Cm. Correct integration of the Tn7 transposon was confirmed by PCR using the primers KpnglmSup/Ptn7L and KpnglmSdown/Ptn7R as previously described [31,85]. Additionally, presence of the phoQ gene was PCR confirmed using Kp52_PhoPQ_compF1 and Prom_PhoPQ_FLAG_R1 primers (S1 Table).
Sequence analysis and modelling
VgrG4 sequence (W9BAA4) was obtained from the UniProt Knowledgebase. A search for homologous crystal structures, which could be used as template structures, was performed with the Basic Local Alignment Search Tool (BLAST) against the Protein Data Bank using the VgrG4 sequence as query. Three structures were found: P. aeruginosa VgrG1 (PDB ID: 4uhv [42], 4mtk (Sycheva et al. to be published) and E. coli v3393 protein (PDB ID: 2p5z [86]). BLAST searches were also made in order to find sequences similar to both VgrG4 and PaVgrG1. Symmetry mates for PaVgrG1 (PDB ID: 4uhv [42]) were created in PyMOL in order to obtain the VgrG4 trimer.
BLAST searches against the pdb database were likewise made using the Sel1E (W9BPL7) sequence as queries. Only two structures (P. aeruginosa Pa5087 PDB ID: 5jkp and P. aeruginosa PA5087 PDB ID: 5jjo [52]) had an e-value < 0.001.
To determine the different domains of the protein, the sequences were analyzed with InterPro [44] and Prosite [48] and the secondary structures were predicted with PSIPred [87]. SignalP [47] was used to determine if the proteins contain any signal sequences and localization predictions were made with Psortdb [49], CELLO [50] and Phobius [51]. ConSurf [54] was used to analyze the evolutionary conservation. Pymol (The PyMOL Molecular Graphics System, Version 2.0 Schrödinger, LLC.) was used for visual inspection of the models and for creating pictures and the ABPS plugin was used to calculate the electrostatic potential of the protein surfaces.
The modelling of VgrG4 was performed in four separate parts. First, a structure-based sequence alignment was made for the N-terminal part (residues 1–563) using the crystal structures of PaVgrG1 (PDB ID: 4uhv [42], 4mtk (Sycheva et al. to be published)) and the E. coli v3393 protein (PDB ID:2p5z [86]). A few sequences similar in length to PaVgrG1 and to VgrG4, respectively, were aligned to the prealigned structural alignment to create the multiple sequence alignment for residues 1–563 (N-term), which were modelled using PaVgrG1 residues 1–549 as the structural template. Secondly, a region of the spike part (residues 564–636) in VgrG4 is predicted by PSIPred to contain two long alpha helices, which have no corresponding part in the PaVgrG1 protein. This part (Helix) was therefore modelled separately by the I-TASSER threading-method server [43], which uses multiple structural templates and builds a model by assembling fragments from the different templates. Thirdly, we made use of the repetitive pattern found in PaVgrG1 to model residues 637–677 (Repeat) by using a repeated part of the PaVgrG1 protein (residues 551–589) as structural template. Finally, residues 678–739 (C-term) were modelled based on the C-terminal part of PaVgrG1 (residues 550–611). 3D models for the N-terminal, Repeat and C-terminal parts were made with the homology modelling program Modeller [88], which created ten models, and the one with the lowest energy according to the Modeller objective function was then used for further analyses. Of the two homologous PaVgrG1 structures (PDB IDs 4uhv [42], 4mtk (Sycheva et al. to be published), 4uhv was chosen as template for modelling VgrG4 since a few amino acids were missing (amino acids 1–4 and 641–643) from the 4mtk structure.
Sel1E was modelled with the threading server I-TASSER [43] and based on the homologs found in the BLAST search we added a restraint, which specified that I-TASSER would use the P. aeruginosa Pa5087 protein (PDB ID: 5jkp) as the template. The remaining part of the Sel1E protein, with no corresponding part in the template, were modelled independently by I-TASSER.
The models were visually inspected and evaluated by superimposition with the template structures using the program VERTAA in the Bodil modeling environment [89]. All models were also evaluated by the online model quality evaluation servers Qmean [90], PROSAweb [91], ProQ [92] and MODFOLD [53].
Real time quantitative PCR to assess the expression of genes induced by ROS
Bacteria were collected in the exponential phase of growth, washed with PBS, and adjusted to an OD600 of 1 in PBS. 1 ml of this suspension was pelleted and resuspended in 1 ml of TrIzol (Invitrogen). RNA was purified following the indications of the manufacturer. The quality of the purified RNA was assessed using a nanodrop (NanoVue Plus). cDNA was generated from 1 μg of RNA using Moloney murine leukaemia virus (M‐MLV) reverse transcriptase (Sigma‐Aldrich) according to the manufacturer's instructions. Quantitative real‐time PCR analysis of gene expression was undertaken using the KAPA SYBR FAST qPCR Kit and Rotor-Gene Q instrument system (Qiagen). Thermal cycling conditions were as follows: 95°C for 3 min for enzyme activation, 40 cycles of denaturation at 95°C for 10 s and annealing at 60°C for 20 s. Primers used in qPCR reactions are listed in S1 Table. cDNA samples were tested in duplicate and relative mRNA quantity was determined by the comparative threshold cycle (ΔΔCT) method, using rrsA gene for normalisation.
Fluorescence dye-based detection of ROS
E. coli MG1655 was grown until mid-exponential phase, bacteria were pelleted from 1-ml of the culture, washed once with PBS, and resuspended in 1-ml PBS. CM-H2DCFDA (Life Technologies, from 1 mM strock solution in 100% DMSO (vol/vol)) was added to bacteria to a final concentration of 10 μM. The mixture was incubated from 30 min at room temperature (20–22°C). One hundred microliters of the resultant cell suspension samples were transferred to a 96-well black plate, and fluorescence measured using a SpectraMax M2 Plate Reader (Molecular Devices) with excitation/emission wavelengths of 495/520 nm, and a slit width 1cm. Results are expressed as relative fluorescence units (RFU). All experiments were carried out with quintuple samples on at least three independent occasions.
Single cell assessment of ROS by microscopy
E. coli MG1655 was grown until mid-exponential phase, and CM-H2DCFDA was added to the culture to a final concentration of 10 μM. One millilitre of the culture was spun down, washed twice with PBS and incubated in a 37°C water bath for 30 min. 1 ml bacterial culture was then concentrated 10-fold by centrifugation, and 5 μl were spotted on a 1% agarose (w/v) pad containing 10 μM CM-H2DCFDA. After 30 min incubation at room temperature, fluorescence images were captured using the ×100 objective lens on a DM5500 microscope (Leica) equipped with the appropriate filter sets. Acquired images were analysed using the LAS imaging software (Leica).
For imaging of ROS in E.coli in contact with K. pneumoniae, Kp52145 and E. coli MG1655 harbouring pJT04-mCherry were grown until mid-exponential phase, and CM-H2DCFDA was added to the E. coli culture to a final concentration of 10 μM. Bacteria were collected by centrifugation, washed with PBS, and mixed at 10:1 ratio (Klebsiella:E. coli). 1 ml of the sample were concentrated 10-fold by centrifugation, and 5 μl were spotted on a 1% agarose pad containing 10 μM CM-H2DCFDA. After 6 h incubation at 37°C, Klebsiella was labelled with rabbit anti-Klebsiella serum (1:1000) and visualised with goat anti rabbit Alexa Fluor 350 life-tech (1:1000) (Molecular Probes, A11046). Fluorescence images were captured using the ×100 objective lens on a Leica DM5500 microscope equipped with the appropriate filter sets. Acquired images were analysed using the LAS imaging software (Leica).
Infection of Galleria mellonella larvae
G. mellonella larvae were obtained from UK Waxworms Limited. Upon receipt, larvae were stored in reduced light at 13°C with nil dietary supplementation. All experiments were performed within 7 days of receipt comprising larvae of 250–350 mg weight showing a healthy external appearance as previously described [40]. K. pneumoniae strains were prepared by harvesting refreshed 5 ml of exponential phase LB cultures (37°C, 180 rpm, 2.5 h), washing once in sterile PBS and then adjusting to an OD600 of 1.0 (i.e. ~5 × 108 CFUs/ml). Each suspension was thereafter diluted to the desired working concentration. Larvae were surface-disinfected with 70% (v/v) ethanol and then injected with 10 μl of working bacterial suspension at the right last proleg using a Hamilton syringe equipped with a 27-gauge needle. For each experiment, 10 larvae injected with sterile PBS were included as combined trauma and vehicle controls. Injected larvae were placed inside Petri dishes at 37°C in the dark. Larvae were considered dead when unresponsive to physical stimuli. Larvae were examined for pigmentation and time of death was recorded. The virulence assay was performed in triplicate (30 larvae total per strain).
Cloning of Hcp1
hcp1 was amplified by PCR using primers Hcp2467pBAD30_EcoRI_F1 and Hcp2468pBAD30_HindIII_R1 (S1 Table), primer Hcp2468pBAD30_HindIII_R1 contains a VSV-G tag. The amplicon was gel-purified, digested with EcoRI and HinIII, gel‐purified, and cloned into an EcoRI-HindIII‐digested, Antarctic Phosphatase (New England Biolabs) treated pBAD30 expression vector to give pBADHcp1VSV. This plasmid was then transformed into E. coli β2163, and mobilized into K. pneumoniae strains by conjugation.
Cloning of VgrG tagged proteins
vgrG1, vgrG2, and vgrG4 were amplified with primers indicated in S1 Table containing a FLAG tag. vgrG41-517 and vgrG4570-899 were amplified with primers containing a VSV-G tag (S1 Table), whereas vgrG1603-750 and vgrG4612-759 were amplified with primers containing a FLAG tag (S1 Table). The amplicons were gel-purified, and digested with EcoRI in the case of vgrG1, vgrG2, vgrG4, vgrG1603-750 and vgrG4612-759 and Xho1 in the case of vgrG41-517 and vgrG4570-899.These digested fragments were then gel-purified, and cloned into EcoR1 or Xho1 digested, Antarctic Phosphatase (New England Biolabs) treated pBAD30 expression vectors to give pBADVgrG1FLAG, pBADVgrG2FLAG, pBADVgrG4FLAG, pBADVgrG41-517VSV, pBADVgrG4570-899VSV, pBADVgrG4570-899FLAG and pBADVgrG4612-759VSV. Correct insertion of the fragments was confirmed by PCR. The plasmids were then transformed into E. coli β2163, and mobilized into K. pneumoniae strains by conjugation.
Isolation of secreted Hcp1
Bacteria containing pBADHcp1VSV were grown until mid-exponential phase in 15-ml plastic tubes containing 5 ml of medium. Five millilitres of culture were centrifuged at 20,000 × g for 20 min and the supernatant was then filtered through a 0.2-μm filter. 450 μL of 100% trichloroacetic acid (TCA) solution were added to 4500 μL of the supernatant, and the sample was incubated overnight at -20°C. Proteins were recovered by centrifugation (15,000 × g for 10 min at 4°C), and washed twice with ice cold acetone. The final precipitate was resuspended in 20 μL of SDS sample buffer.
Immunoblotting
Proteins resolved by 15% SDS-PAGE and electroblotted onto nitrocellulose membranes. Membranes were blocked with 4% bovine serum albumin (w/v) in PBS and protein bands were detected with specific antibodies using chemiluminescence reagents and a G:BOX Chemi XRQ chemiluminescence imager (Syngene). The following antibodies were used: anti-Flag antibody (1:2,000; Sigma), anti-VSVG antibody (1:2,000; Sigma). Immunoreactive bands were visualized by incubation with horseradish peroxidase-conjugated goat anti-rabbit immunoglobulins (1:5000, BioRad 170–6515) or goat anti-mouse immunoglobulins (1:5000, BioRad 170–6516). To ensure that equal amounts of proteins were loaded, membranes were reprobed after stripping of previously used antibodies using a pH 2.2 glycine-HCl/SDS buffer with anti-E.coli RNA Polymerase α (1:2,000; BioLegend 663102).
GST fusions in yeast were immunodetected with primary rabbit polyclonal anti-GST (Z-5) antibody (1:2000, Santa Cruz Biotechnology). Secondary antibodies were IRDye-680 or IRDye -800 anti-rabbit and detection was performed with an Odyssey Infrared Imaging System (LI-COR Biosciences).
Expression of vgrGs in S. cerevisiae
Yeast transformation was achieved by the standard lithium acetate protocol. Kp52145 vgrGs were cloned into the 2μ-based pEG(KG) vector to express GST fusion proteins in yeast [93] under the control of the GAL1 promoter. vgrG1, vgrG2 and vgrG4 were amplified by PCR using primers carrying BamHI and XbaI restriction sites for vgrG1, and XbaI restriction sites for vgrG2 and vgrG4 (S1 Table). All PCR products were cleaved with the corresponding enzymes and inserted into the same site in the pEG(KG) vector and sequenced. vgrG4 truncated variants were obtained by sit-directed mutagenesis using primers indicated in S1 Table.
S. cerevisiae strains expressing VgrGs were grown in Synthetic complete medium (SC) containing 0.17% (w/v) yeast nitrogen base without amino acids, 0.5% (w/v) ammonium sulphate and 2% (w/v) glucose, and was supplemented with appropriate amino acids and nucleic acid bases. SCGal and SCRaf media were SC with 2% (w/v) galactose or raffinose, respectively, instead of glucose. Galactose induction experiments in liquid media were performed by growing cells in SCRaf medium at 30 ºC to exponential phase and then adding galactose to 2% (w/v) for 4–6 h. Effects of the expression of VgrG genes on yeast growth were tested by spotting cells onto SC and SCGal plates lacking the corresponding auxotrophic marker to maintain the plasmid. Briefly, transformants bearing pEG(KG)-based plasmids were grown overnight in SC lacking uracil and leucine (SC–Ura-Leu) and adjusted to an OD600 of 0.5. This and three serial 1/10 dilutions were spotted on the surfaces of SC or SCGal solid media lacking uracil. Growth was monitored after 2–3 days at 30ºC.
Statistical analyses
Heat-maps were constructed using GraphPad Prism for Windows (version 5.03) software. Statistical analyses were performed using one-way ANOVA with Bonferroni correction for multiple comparisons, or unpaired T-test. Survival analyses were undertaken using the Log-rank (Mantel-Cox) test with Bonferroni correction for multiple comparisons (α = 0.008). All analyses were performed using GraphPad Prism for Windows (version 5.03) software. P‐values of < 0.05 were considered statistically significant.
Supporting information
S1 Fig. Predicted T6SS loci in K. pneumoniae strains.
Analysis of the loci encoding the T6SS in five K. pneumoniae strains: ATCC43816 (A), NTUH-K2044 (B), SGH1- (C), MGH78578 (D), NJST258_1 (E). Each loci is characterized by a distinct vgrG and a set of putative effector(s) and immunity proteins. For each strain, additional t6ss related genes found elsewhere in the genome are indicated.
In all panels, the colour code of the genes indicate putative structural genes (purple), hcp (dark green), vgrG (red), effector (denoted as Kpe for K. pneumoniae effectors) (yellow), immunity protein (denoted as Kpi for K. pneumoniae immunity protein) (orange), regulator (green), and PAAR-domain containing protein (grey).
https://doi.org/10.1371/journal.ppat.1007969.s002
(PDF)
S2 Fig. Lack of bacterial killing when K. pneumonaie 52.145 grows in LB.
Recovery of E. coli target cell following 6 h incubation with Kp52145, 52145-ΔmanC (ΔmanC), and S. marcescens Db10 (Serratia). The data are presented as means ± the standard deviations (n = 3).****, results are significantly different (P < 0.0001 [two-tailed t test]) from the results for PBS-treated (mock) target cell.
https://doi.org/10.1371/journal.ppat.1007969.s003
(PDF)
S3 Fig. Effect of growth phase on K. pneumoniae 52.145 T6SS expression.
(A, B, C) Analysis of the T6SS expression by Kp52145 carrying the transcriptional fusions tssB::lucFF to monitor locus I, tssK2::lucFF to monitor locus II, and sciZ3::lucFF to monitor locus III. At the indicated time points, an aliquot of the culture was taken to measure luciferase levels, and OD600. Luminescence is expressed as relative light units (RLU). The data are presented as means ± the standard deviations (n = 3).
https://doi.org/10.1371/journal.ppat.1007969.s004
(PDF)
S4 Fig. Regulation of K. pneumoniae 52.145 T6SS loci II and III.
Heat-map analysis of the luciferase levels of the transcriptional fusion tssK2::lucFF (A) and sciZ3::lucFF (B) in the background of the wild-type strain grown until exponential phase at different temperatures (Temp); pH, oxygen tension (1, 15-ml tube incubated vertically shaking at 180 rpm; 2, 15-ml slanted tube (45o) shaking at 180 rpm; 3, 25-ml tube incubated vertically shaking at 180 rpm; 4, 30-ml tube incubated vertically shaking at 180 rpm), and different concentrations of KCl, rhamnose, sucrose, NaCl and the iron chelator 2–2’ bipyridyl.
https://doi.org/10.1371/journal.ppat.1007969.s005
(PDF)
S5 Fig. CPS does not affect K. pneumoniae T6SS activity.
T6SS-dependent anti-bacterial activity as determined by recovery of target organism E. coli MG1655 following 6 h co-incubation in LBpH6 (pH6), LBNaCl (NaCl (595 mM) with Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔmanC (ΔmanC). The data are presented as means ± the standard deviations (n = 3). #, P < 0.0001; n.s. (P > 0.05) not significant differences from the results for mock-treated E. coli; one-way ANOVA Bonferroni correction for multiple comparisons.
https://doi.org/10.1371/journal.ppat.1007969.s006
(PDF)
S6 Fig. Identification of transcriptional factors controlling K. pneumoniae T6SS expression.
(A, B) Analysis of the T6SS expression by Kp52145, 52145-Δhfq (hfq), 52145-ΔphoPQGB (phoPQ), 52145-ΔpmrAB (pmrAB), 52145-Δfur (fur), 52145-Δhns (h-ns), 52145-ΔrpoS (rpoS), 52145-ΔrpoN (rpoN), 52145-ΔmgrB (mgrB), 52145-ΔmgrB-ΔphoPQGB (mgrB-phoPQ), 52145-ΔrcsB (rcsB), and 52145-ΔrcsB-ΔphoPQGB (rcsB-phoPQ) carrying the transcriptional fusion tssB::lucFF and grown in LBpH6 (pH6) and LBNaCl (NaCl 595 mM). The data are presented as means ± the standard deviations (n = 3). #, results are significantly different (P < 0.0001) from the results for Kp52145 and for the indicated comparison; ***, results are significantly different (P < 0.001) from the results for Kp52145; n.s. results are not significantly different (P>0.05 001) from the results for Kp52145; one-way ANOVA Bonferroni correction for multiple comparisons.
(C, D) Bacterial killing activity mediated by Kp52145, 52145-Δhfq (hfq), 52145-ΔphoPQGB (phoPQ), 52145-ΔpmrAB (pmrAB), 52145-Δfur (fur), 52145-Δhns (h-ns), 52145-ΔrpoS (rpoS), 52145-ΔrpoN (rpoN), 52145-ΔmgrB (mgrB), 52145-ΔmgrB-ΔphoPQGB (mgrB-phoPQ), 52145-ΔrcsB (rcsB), and 52145-ΔrcsB-ΔphoPQGB (rcsB-phoPQ) against E. coli MG1655. Number of recovered target cells following 6 h incubation in LBpH6 (pH6) and LBNaCl (NaCl 595 mM) is indicated. The data are presented as means ± the standard deviations (n = 3). #, results are significantly different (P < 0.0001) from the results for PBS-treated (mock) target cells; one-way ANOVA Bonferroni correction for multiple comparisons.
https://doi.org/10.1371/journal.ppat.1007969.s007
(PDF)
S7 Fig. T6SS-mediated antibacterial competition is fuelled by T6SS active preys.
(A, B, C) T6SS-dependent anti-bacterial activity as determined by recovery of target organisms K. pneumoniae NTUH-K2044 (NTUH-K2044), A. baumannii DSM30011 (DSM30011) following incubation with Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔphoPQGB (ΔphoPQ), and 52145-ΔphoPQGBCom (ΔphoPQ::phoPQ). #, P < 0.0001; **, P < 0.01; n.s (P > 0.05) not significant differences from the results for PBS-treated (mock) target cell; one-way ANOVA Bonferroni correction for multiple comparisons.
(C, D) T6SS-dependent anti-bacterial activity as determined by recovery of target t6ss mutants NTUH-ΔtssB, DSM-ΔtssM following incubation with Kp52145. n.s., (P > 0.05) not significant differences from the results for PBS-treated (mock) target cell.
In all panels, the data are presented as means ± the standard deviations (n = 3).
https://doi.org/10.1371/journal.ppat.1007969.s008
(PDF)
S8 Fig. T6SS-dependent antagonism against E. coli prey.
(A, B, C) T6SS-dependent anti-bacterial activity as determined by recovery of target organisms E. coli MG1655 following incubation with K. pneumoniae ATCC43816 (Kp43816), 43816-ΔtssB (43816-ΔtssB), K. pneumoniae NTUH-K2044 (NTUH), NTUH-ΔtssB (NTUH-ΔtssB), A. baumannii ATCC17978 (17978), 17978-ΔtssM (17978-ΔtssM), A. baumannii DSM30011 (DSM), A. baumannii DSM30011-ΔtssM, (DSM30011-ΔtssM), B. cenocepacia K56-2 (K56-2), and K56-2-ΔatsRΔT6SS (ΔT6SS) in LB. #, results are significantly different (P < 0.0001 [one-way ANOVA Bonferroni for multiple comparisons]) for the indicated comparisons. Mock, PBS-treated target cell. The data are presented as means ± the standard deviations (n = 3).
https://doi.org/10.1371/journal.ppat.1007969.s009
(PDF)
S9 Fig. Co-incubation with bacteria with an active T6SS upregulates K. pneumoniae T6SS in a PhoPQ-dependent manner.
(A, B, C) Expression of T6SS by Kp52145, 52145-ΔphoPQGB (ΔphoPQ), and 52145-ΔphoPQGBCom (ΔphoPQ::phoPQ) carrying the transcriptional fusion tssB::lucFF after co-incubation with K. pneumoniae ATCC43816 (Kp43186), K. pneumoniae NTUH-K2044 (NTUH-K2044), A. baumannii ATCC17978 (17978), and B. cenocepacia K56-2 (K56-2). #, results are significantly different (P < 0.0001 [one-way ANOVA Bonferroni for multiple comparisons]) from the results for PBS-treated (mock) Kp52145. In all panels, luminescence is expressed relative light units (RLU) per CFU (x109). The data are presented as means ± the standard deviations (n = 3).
https://doi.org/10.1371/journal.ppat.1007969.s010
(PDF)
S10 Fig. The periplasmic domain of PhoQ is needed for the regulation of the T6SS.
(A, B, C) Expression of T6SS by Kp52145, 52145-ΔphoPQGB (ΔphoPQ), 52145-ΔphoQGBComFLAG (ΔphoPQ::phoPQFLAG), 52145-ΔphoQGBComPhoQ45-190 (ΔphoPQ::phoPQ45-190), and 52145-ΔphoQGBComPhoQGNNNNAQ (ΔphoPQ::phoPQGNNNNAQ) carrying the transcriptional fusion tssB::lucFF after incubation in LB, LBpH6 (pH6), and LBNaCl (NaCl 595 mm). #, results are significantly different (P < 0.0001 [one-way ANOVA Bonferroni for multiple comparisons]) for the indicated comparisons.
(D) Western blot analysis using an anti-FLAG antibody demonstrating the presence of PhoQ in cell pellets of 52145-ΔphoQGBComFLAG (phoQ), 52145-ΔphoQGBComPhoQ45-190 (phoQ45-190), and 52145-ΔphoQGBComPhoQGNNNNAQ (phoQGNNNNAQ). Membranes were reprobed with antibody anti RNA Polymerase α. Images are representative of three independent experiments.
https://doi.org/10.1371/journal.ppat.1007969.s011
(PDF)
S11 Fig. Role of K. pneumoniae T6SS VgrGs in bacterial competition.
(A, B, C) T6SS-dependent anti-bacterial activity as determined by recovery of target organism E. coli MG1655 following incubation with Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔvgrG1 (ΔvgrG1), 52145-ΔvgrG1 harbouring pBADVgrG1 (ΔvgrG1/ pBADVgrG1), 52145-ΔvgrG2 (ΔvgrG2), 52145-ΔvgrG4 (ΔvgrG4), 52145-ΔvgrG4 harbouring pBADVgrG4 (ΔvgrG4/pBADVgrG4), 52145-ΔvgrG2-ΔvgrG1 (ΔvgrG2-ΔvgrG1), 52145-ΔvgrG1-ΔvgrG4 (ΔvgrG1-ΔvgrG4), 52145-ΔvgrG2-ΔvgrG4 (ΔvgrG2-ΔvgrG4), 52145-ΔvgrG2- ΔvgrG1-ΔvgrG4 (ΔvgrG2- ΔvgrG1-ΔvgrG4) in LBpH6 (pH6), LBNaCl (NaCl 595 mM), and with sublethal concentration of colistin (0.1 μg/ml) in LB. In all panels, #, P < 0.0001; n.s. (P > 0.05), not significant differences from the results for PBS-treated (mock) target cell; one-way ANOVA Bonferroni for multiple comparisons. The data are presented as means ± the standard deviations (n = 3).
https://doi.org/10.1371/journal.ppat.1007969.s012
(PDF)
S12 Fig. K. pneumoniae T6SS mutants displayed reduced virulence in the G. mellonella infection model.
Kaplan–Meier plots showing the per cent survival of G. mellonella over 120 h post-infection with 105 organisms of the following strains: K. pneumoniae NTUH-K2044 (NTHU-K2044), NTHU-ΔtssB, K. pneumoniae ATCC43816 (Kp43816), 43816-(ΔtssB), or PBS. Thirty larvae were infected in each group. Level of significance was determined using the log-rank (Mantel–Cox) test with Bonferroni correction for multiple comparisons where applicable [a = (A) 0.0008; (B) 0.05]. ****, P < 0.0001, ***, P < 0.001 for the indicated comparisons.
https://doi.org/10.1371/journal.ppat.1007969.s013
(PDF)
S13 Fig. Growth kinetics of K. pneumoniae T6SS mutants.
Growth kinetics of K. pneumoniae 51245 (Kp52145), 52145-ΔclpV (ΔclpV), 52145-ΔvgrG1 (ΔvgrG1), 52145-ΔvgrG2 (ΔvgrG2), 52145-ΔvgrG4 (ΔvgrG4), 52145-ΔvgrG2-ΔvgrG1 (ΔvgrG2-ΔvgrG1), 52145-ΔvgrG1-ΔvgrG4 (ΔvgrG1-ΔvgrG4), 52145-ΔvgrG2-ΔvgrG4 (ΔvgrG2-ΔvgrG4), 52145-ΔvgrG2- ΔvgrG1-ΔvgrG4 (ΔvgrG2- ΔvgrG1-ΔvgrG4) in LB broth (LB) (A) and 2% glucose M9 minimal media supplemented with thiamine and MgSO4 (M9-0.2% glucose) (B) over 24 h at 37°C. Values are presented as the mean ± SD of three independent experiments measured in triplicate.
https://doi.org/10.1371/journal.ppat.1007969.s014
(PDF)
S14 Fig. Expression of VgrGs and truncated variants in E. coli.
Western blot analysis using anti-FLAG (A, B) and anti-VSV-G (C) antibodies demonstrating the presence of VgrG1, VgrG2, VgrG4, VgrG41-517, VgrG4570-899, VgrG4612-759, VgrG1603-750 in the cell lysates of E. coli. Membranes were reprobed with antibody anti RNA Polymerase α. Images are representative of three independent experiments.
https://doi.org/10.1371/journal.ppat.1007969.s015
(PDF)
S15 Fig. VgrG4 is a trans-kingdom effector of K. pneumoniae T6SS.
(A) Growth on SD (glucose) and SG (galactose) plates at 30°C and 37°C of serial dilutions of wild-type YPH499 yeast cells harbouring plasmids encoding the indicated vgrGs, and therefore expressing the corresponding proteins under the control of the GAL1 promoter on galactose-based medium. Image is representative of three independent experiments.
(B) Immunoblot analysis of the expression of each of the VgrG4 variants in yeast using anti-GST antibody.
https://doi.org/10.1371/journal.ppat.1007969.s016
(PDF)
S16 Fig. VgrG4 toxic effect is ROS-dependent.
(A) ROS levels in E. coli harbouring the indicated plasmids following induction of the Ara promoter of the pBAD plasmid with arabinose (0.1%) for 60 min by assessing the fluorescence of the dye CM-H2DCFDA. When indicated, ascorbate (15 mM) was added to supplement LB determined. Results are expressed in relative fluorescence units (RFU), and presented as means ± the standard deviations (n = 3). #, results are significantly different (P < 0.0001 [two-tailed t test]) from the results for bacteria harbouring pBAD30.
(B) Single-cell analysis of ROS using the general ROS fluorescence sensor CM-H2DCFDA in E. coli harbouring pBADVgrG4570-699 pMMBSel1E following induction with arabinose and IPTG for 60 min. Hoechst was used to stain bacterial DNA. Images are representative of three independent experiments. When indicated, ascorbate (15 mM) was added to supplement the culture media.
(C) Single-cell analysis of ROS using the general ROS fluorescence sensor CM-H2DCFDA in E. coli harbouring pBADVgrG4612-759 pMMBSel1E following induction with arabinose and IPTG for 60 min. Hoechst was used to stain bacterial DNA. Images are representative of three independent experiments. When indicated, ascorbate (15 mM) was added to supplement the culture media.
(D) Single-cell analysis of ROS using the general ROS fluorescence sensor CM-H2DCFDA in E. coli upon co-cultivation with Kp52145, 52145-ΔclpV (ΔclpV), 52145-ΔvgrG4 (ΔvgrG4), 52145-ΔvgrG4 harbouring pBADVgrG4 (ΔvgrG4/ pBADVgrG4). Hoechst was used to stain bacterial DNA. Images are representative of three independent experiments.
(E) Single-cell analysis of ROS using the general ROS fluorescence sensor CM-H2DCFDA in E. coli harbouring pMMBSel1E upon co-cultivation with Kp52145 following induction with IPTG for 60 min. Hoechst was used to stain bacterial DNA. Images are representative of three independent experiments.
https://doi.org/10.1371/journal.ppat.1007969.s017
(PDF)
S17 Fig. Sel1E abolishes VgrG4-induced ROS responses.
A) Sel1E is not a general ROS scavenger. Single-cell analysis of ROS using the general ROS fluorescence sensor CM-H2DCFDA in E. coli harbouring pMMBSel1E upon incubation with ethanol (20%) following induction with IPTG for 60 min. Hoechst was used to stain bacterial DNA. Images are representative of three independent experiments.
(B) soxS, oxyS, oxyR, and kat levels assessed by RT-qPCR in E. coli harbouring the indicated plasmids following induction of the Ara promoter of the pBAD plasmid with arabinose (0.1%), and the tac promoter of the pMMB207 plasmid with IPTG (1 mM) for 60 min. The data are presented as means ± the standard deviations (n = 3).
https://doi.org/10.1371/journal.ppat.1007969.s018
(PDF)
S1 Data. Analysis of the T6SS effectors from 700 K. pneumonaie genomes against the SecRet6 effector database.
https://doi.org/10.1371/journal.ppat.1007969.s019
(CSV)
S2 Data. Analysis of the T6SS core components from 700 K. pneumonaie genomes against the SecRet6 core component database.
https://doi.org/10.1371/journal.ppat.1007969.s020
(CSV)
S3 Data. Phylogenetic tree of 700 K. pneumoniae genomes.
https://doi.org/10.1371/journal.ppat.1007969.s021
(TRE)
Acknowledgments
We thank the members of the J.A.B. laboratory for their thoughtful discussions and support with this project. We also thank the bioinformatics (J.V. Lehtonen), translational activities and structural biology infrastructure support from Biocenter Finland and Instruct-FI, and CSC IT Center for Science for computational infrastructure support at the Structural Bioinformatics Laboratory, Åbo Akademi University.
References
- 1. Bladergroen MR, Badelt K, Spaink HP. Infection-blocking genes of a symbiotic Rhizobium leguminosarum strain that are involved in temperature-dependent protein secretion. Mol Plant Microbe Interact. 2003;16: 53–64. pmid:12580282
- 2. Rao PS, Yamada Y, Tan YP, Leung KY. Use of proteomics to identify novel virulence determinants that are required for Edwardsiella tarda pathogenesis. Mol Microbiol. 2004;53: 573–586. pmid:15228535
- 3. Alcoforado Diniz J, Liu YC, Coulthurst SJ. Molecular weaponry: diverse effectors delivered by the Type VI secretion system. Cell Microbiol. 2015;17: 1742–1751. pmid:26432982
- 4. Ho BT, Dong TG, Mekalanos JJ. A view to a kill: the bacterial type VI secretion system. Cell Host Microbe. 2014;15: 9–21. pmid:24332978
- 5. Russell AB, Peterson SB, Mougous JD. Type VI secretion system effectors: poisons with a purpose. Nat Rev Microbiol. 2014;12: 137–148. pmid:24384601
- 6. Hachani A, Wood TE, Filloux A. Type VI secretion and anti-host effectors. Curr Opin Microbiol. 2016;29: 81–93. pmid:26722980
- 7. Hood RD, Singh P, Hsu F, Guvener T, Carl MA, Trinidad RR, et al. A type VI secretion system of Pseudomonas aeruginosa targets a toxin to bacteria. Cell Host Microbe. 2010;7: 25–37. pmid:20114026
- 8. Borgeaud S, Metzger LC, Scrignari T, Blokesch M. The type VI secretion system of Vibrio cholerae fosters horizontal gene transfer. Science. 2015;347: 63–67. pmid:25554784
- 9. Ringel PD, Hu D, Basler M. The Role of Type VI Secretion System Effectors in Target Cell Lysis and Subsequent Horizontal Gene Transfer. Cell Rep. 2017;21: 3927–3940. pmid:29281838
- 10. Zheng J, Shin OS, Cameron DE, Mekalanos JJ. Quorum sensing and a global regulator TsrA control expression of type VI secretion and virulence in Vibrio cholerae. Proc Natl Acad Sci U S A. 2010;107: 21128–21133. pmid:21084635
- 11. Majerczyk C, Schneider E, Greenberg EP. Quorum sensing control of Type VI secretion factors restricts the proliferation of quorum-sensing mutants. Elife. 2016;5: pmid:27183270
- 12. Silverman JM, Brunet YR, Cascales E, Mougous JD. Structure and regulation of the type VI secretion system. Annu Rev Microbiol. 2012;66: 453–472. pmid:22746332
- 13. Nazarov S, Schneider JP, Brackmann M, Goldie KN, Stahlberg H, Basler M. Cryo-EM reconstruction of Type VI secretion system baseplate and sheath distal end. EMBO J. 2018;37: 10.
- 14. Kudryashev M, Wang RY, Brackmann M, Scherer S, Maier T, Baker D, et al. Structure of the type VI secretion system contractile sheath. Cell. 2015;160: 952–962. pmid:25723169
- 15. Durand E, Nguyen VS, Zoued A, Logger L, Pehau-Arnaudet G, Aschtgen MS, et al. Biogenesis and structure of a type VI secretion membrane core complex. Nature. 2015;523: 555–560. pmid:26200339
- 16. Shneider MM, Buth SA, Ho BT, Basler M, Mekalanos JJ, Leiman PG. PAAR-repeat proteins sharpen and diversify the type VI secretion system spike. Nature. 2013;500: 350–353. pmid:23925114
- 17. Cianfanelli FR, Monlezun L, Coulthurst SJ. Aim, Load, Fire: The Type VI Secretion System, a Bacterial Nanoweapon. Trends Microbiol. 2016;24: 51–62. pmid:26549582
- 18. Pukatzki S, Ma AT, Sturtevant D, Krastins B, Sarracino D, Nelson WC, et al. Identification of a conserved bacterial protein secretion system in Vibrio cholerae using the Dictyostelium host model system. Proc Natl Acad Sci U S A. 2006;103: 1528–1533. pmid:16432199
- 19. Bengoechea JA, Sa Pessoa J. Klebsiella pneumoniae infection biology: living to counteract host defences. FEMS Microbiol Rev. 2019;43: 123–144. pmid:30452654
- 20. Navon-Venezia S, Kondratyeva K, Carattoli A. Klebsiella pneumoniae: a major worldwide source and shuttle for antibiotic resistance. FEMS Microbiol Rev. 2017;41: 252–275. pmid:28521338
- 21. Sarris PF, Zoumadakis C, Panopoulos NJ, Scoulica EV. Distribution of the putative type VI secretion system core genes in Klebsiella spp. Infect Genet Evol. 2011;11: 157–166. pmid:20932940
- 22. Lery LM, Frangeul L, Tomas A, Passet V, Almeida AS, Bialek-Davenet S, et al. Comparative analysis of Klebsiella pneumoniae genomes identifies a phospholipase D family protein as a novel virulence factor. BMC Biol. 2014;12: 41-7007-12-41.
- 23. Liu L, Ye M, Li X, Li J, Deng Z, Yao YF, et al. Identification and Characterization of an Antibacterial Type VI Secretion System in the Carbapenem-Resistant Strain Klebsiella pneumoniae HS11286. Front Cell Infect Microbiol. 2017;7: 442. pmid:29085808
- 24. Holt KE, Wertheim H, Zadoks RN, Baker S, Whitehouse CA, Dance D, et al. Genomic analysis of diversity, population structure, virulence, and antimicrobial resistance in Klebsiella pneumoniae, an urgent threat to public health. Proc Natl Acad Sci U S A. 2015;112: E3574–81. pmid:26100894
- 25. Newton HJ, Sansom FM, Dao J, McAlister AD, Sloan J, Cianciotto NP, et al. Sel1 repeat protein LpnE is a Legionella pneumophila virulence determinant that influences vacuolar trafficking. Infect Immun. 2007;75: 5575–5585. pmid:17893138
- 26. M C Lam M, Wyres KL, Duchene S, Wick RR, Judd LM, Gan YH, et al. Population genomics of hypervirulent Klebsiella pneumoniae clonal-group 23 reveals early emergence and rapid global dissemination. Nat Commun. 2018;9: 2703-018-05114-7.
- 27. Wu KM, Li LH, Yan JJ, Tsao N, Liao TL, Tsai HC, et al. Genome sequencing and comparative analysis of Klebsiella pneumoniae NTUH-K2044, a strain causing liver abscess and meningitis. J Bacteriol. 2009;191: 4492–4501. pmid:19447910
- 28. Deleo FR, Chen L, Porcella SF, Martens CA, Kobayashi SD, Porter AR, et al. Molecular dissection of the evolution of carbapenem-resistant multilocus sequence type 258 Klebsiella pneumoniae. Proc Natl Acad Sci U S A. 2014;111: 4988–4993. pmid:24639510
- 29. Wyres KL, Gorrie C, Edwards DJ, Wertheim HF, Hsu LY, Van Kinh N, et al. Extensive Capsule Locus Variation and Large-Scale Genomic Recombination within the Klebsiella pneumoniae Clonal Group 258. Genome Biol Evol. 2015;7: 1267–1279. pmid:25861820
- 30. Mougous JD, Cuff ME, Raunser S, Shen A, Zhou M, Gifford CA, et al. A virulence locus of Pseudomonas aeruginosa encodes a protein secretion apparatus. Science. 2006;312: 1526–1530. pmid:16763151
- 31. Kidd TJ, Mills G, Sa-Pessoa J, Dumigan A, Frank CG, Insua JL, et al. A Klebsiella pneumoniae antibiotic resistance mechanism that subdues host defences and promotes virulence. EMBO Mol Med. 2017;9: 430–447. pmid:28202493
- 32. Llobet E, Campos MA, Gimenez P, Moranta D, Bengoechea JA. Analysis of the networks controlling the antimicrobial-peptide-dependent induction of Klebsiella pneumoniae virulence factors. Infect Immun. 2011;79: 3718–3732. pmid:21708987
- 33. Wright MS, Suzuki Y, Jones MB, Marshall SH, Rudin SD, van Duin D, et al. Genomic and transcriptomic analyses of colistin-resistant clinical isolates of Klebsiella pneumoniae reveal multiple pathways of resistance. Antimicrob Agents Chemother. 2015;59: 536–543. pmid:25385117
- 34. Cain AK, Boinett CJ, Barquist L, Dordel J, Fookes M, Mayho M, et al. Morphological, genomic and transcriptomic responses of Klebsiella pneumoniae to the last-line antibiotic colistin. Sci Rep. 2018;8: 9868-018-28199-y.
- 35. Ishimoto H, Mukae H, Date Y, Shimbara T, Mondal MS, Ashitani J, et al. Identification of hBD-3 in respiratory tract and serum: the increase in pneumonia. Eur Respir J. 2006;27: 253–260. pmid:16452577
- 36. Bader MW, Navarre WW, Shiau W, Nikaido H, Frye JG, McClelland M, et al. Regulation of Salmonella typhimurium virulence gene expression by cationic antimicrobial peptides. Mol Microbiol. 2003;50: 219–230. pmid:14507376
- 37. Weber BS, Ly PM, Irwin JN, Pukatzki S, Feldman MF. A multidrug resistance plasmid contains the molecular switch for type VI secretion in Acinetobacter baumannii. Proc Natl Acad Sci U S A. 2015;112: 9442–9447. pmid:26170289
- 38. Basler M, Ho BT, Mekalanos JJ. Tit-for-tat: type VI secretion system counterattack during bacterial cell-cell interactions. Cell. 2013;152: 884–894. pmid:23415234
- 39. Waldburger CD, Sauer RT. Signal detection by the PhoQ sensor-transmitter. Characterization of the sensor domain and a response-impaired mutant that identifies ligand-binding determinants. J Biol Chem. 1996;271: 26630–26636. pmid:8900137
- 40. Insua JL, Llobet E, Moranta D, Perez-Gutierrez C, Tomas A, Garmendia J, et al. Modeling Klebsiella pneumoniae pathogenesis by infection of the wax moth Galleria mellonella. Infect Immun. 2013;81: 3552–3565. pmid:23836821
- 41. Franca TC. Homology modeling: an important tool for the drug discovery. J Biomol Struct Dyn. 2015;33: 1780–1793. pmid:25266493
- 42. Spinola-Amilibia M, Davo-Siguero I, Ruiz FM, Santillana E, Medrano FJ, Romero A. The structure of VgrG1 from Pseudomonas aeruginosa, the needle tip of the bacterial type VI secretion system. Acta Crystallogr D Struct Biol. 2016;72: 22–33. pmid:26894531
- 43. Yang J, Yan R, Roy A, Xu D, Poisson J, Zhang Y. The I-TASSER Suite: protein structure and function prediction. Nat Methods. 2015;12: 7–8. pmid:25549265
- 44. Mitchell AL, Attwood TK, Babbitt PC, Blum M, Bork P, Bridge A, et al. InterPro in 2019: improving coverage, classification and access to protein sequence annotations. Nucleic Acids Res. 2019;47: D351–D360. pmid:30398656
- 45. D'Andrea LD, Regan L. TPR proteins: the versatile helix. Trends Biochem Sci. 2003;28: 655–662. pmid:14659697
- 46. Urosev D, Ferrer-Navarro M, Pastorello I, Cartocci E, Costenaro L, Zhulenkovs D, et al. Crystal structure of c5321: a protective antigen present in uropathogenic Escherichia coli strains displaying an SLR fold. BMC Struct Biol. 2013;13: 19-6807-13-19.
- 47. Almagro Armenteros JJ, Tsirigos KD, Sonderby CK, Petersen TN, Winther O, Brunak S, et al. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat Biotechnol. 2019;37: 420–423. pmid:30778233
- 48. de Castro E, Sigrist CJ, Gattiker A, Bulliard V, Langendijk-Genevaux PS, Gasteiger E, et al. ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins. Nucleic Acids Res. 2006;34: W362–5. pmid:16845026
- 49. Peabody MA, Laird MR, Vlasschaert C, Lo R, Brinkman FS. PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures. Nucleic Acids Res. 2016;44: D663–8. pmid:26602691
- 50. Yu CS, Lin CJ, Hwang JK. Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions. Protein Sci. 2004;13: 1402–1406. pmid:15096640
- 51. Kall L, Krogh A, Sonnhammer EL. Advantages of combined transmembrane topology and signal peptide prediction—the Phobius web server. Nucleic Acids Res. 2007;35: W429–32. pmid:17483518
- 52. Yang XY, Li ZQ, She Z, Geng Z, Xu JH, Gao ZQ, et al. Structural analysis of Pseudomonas aeruginosa H3-T6SS immunity proteins. FEBS Lett. 2016;590: 2787–2796. pmid:27397502
- 53. Maghrabi AHA, McGuffin LJ. ModFOLD6: an accurate web server for the global and local quality estimation of 3D protein models. Nucleic Acids Res. 2017;45: W416–W421. pmid:28460136
- 54. Ashkenazy H, Abadi S, Martz E, Chay O, Mayrose I, Pupko T, et al. ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules. Nucleic Acids Res. 2016;44: W344–50. pmid:27166375
- 55. Kohanski MA, Dwyer DJ, Hayete B, Lawrence CA, Collins JJ. A common mechanism of cellular death induced by bactericidal antibiotics. Cell. 2007;130: 797–810. pmid:17803904
- 56. Dwyer DJ, Collins JJ, Walker GC. Unraveling the physiological complexities of antibiotic lethality. Annu Rev Pharmacol Toxicol. 2015;55: 313–332. pmid:25251995
- 57. Dong TG, Dong S, Catalano C, Moore R, Liang X, Mekalanos JJ. Generation of reactive oxygen species by lethal attacks from competing microbes. Proc Natl Acad Sci U S A. 2015;112: 2181–2186. pmid:25646446
- 58. Nunoshiba T, Hidalgo E, Amabile Cuevas CF, Demple B. Two-stage control of an oxidative stress regulon: the Escherichia coli SoxR protein triggers redox-inducible expression of the soxS regulatory gene. J Bacteriol. 1992;174: 6054–6060. pmid:1400156
- 59. Dwyer DJ, Belenky PA, Yang JH, MacDonald IC, Martell JD, Takahashi N, et al. Antibiotics induce redox-related physiological alterations as part of their lethality. Proc Natl Acad Sci U S A. 2014;111: E2100–9. pmid:24803433
- 60. Wan B, Zhang Q, Ni J, Li S, Wen D, Li J, et al. Type VI secretion system contributes to Enterohemorrhagic Escherichia coli virulence by secreting catalase against host reactive oxygen species (ROS). PLoS Pathog. 2017;13: e1006246. pmid:28288207
- 61. Mougous JD, Gifford CA, Ramsdell TL, Mekalanos JJ. Threonine phosphorylation post-translationally regulates protein secretion in Pseudomonas aeruginosa. Nat Cell Biol. 2007;9: 797–803. pmid:17558395
- 62. Murdoch SL, Trunk K, English G, Fritsch MJ, Pourkarimi E, Coulthurst SJ. The opportunistic pathogen Serratia marcescens utilizes type VI secretion to target bacterial competitors. J Bacteriol. 2011;193: 6057–6069. pmid:21890705
- 63. Salomon D, Klimko JA, Orth K. H-NS regulates the Vibrio parahaemolyticus type VI secretion system 1. Microbiology. 2014;160: 1867–1873. pmid:24987102
- 64. Brunet YR, Khodr A, Logger L, Aussel L, Mignot T, Rimsky S, et al. H-NS Silencing of the Salmonella Pathogenicity Island 6-Encoded Type VI Secretion System Limits Salmonella enterica Serovar Typhimurium Interbacterial Killing. Infect Immun. 2015;83: 2738–2750. pmid:25916986
- 65. Cannatelli A, Giani T, D'Andrea MM, Di Pilato V, Arena F, Conte V, et al. MgrB inactivation is a common mechanism of colistin resistance in KPC-producing Klebsiella pneumoniae of clinical origin. Antimicrob Agents Chemother. 2014;58: 5696–5703. pmid:25022583
- 66. Cannatelli A, D'Andrea MM, Giani T, Di Pilato V, Arena F, Ambretti S, et al. In vivo emergence of colistin resistance in Klebsiella pneumoniae producing KPC-type carbapenemases mediated by insertional inactivation of the PhoQ/PhoP mgrB regulator. Antimicrob Agents Chemother. 2013;57: 5521–5526. pmid:23979739
- 67. Bader MW, Sanowar S, Daley ME, Schneider AR, Cho U, Xu W, et al. Recognition of antimicrobial peptides by a bacterial sensor kinase. Cell. 2005;122: 461–472. pmid:16096064
- 68. Wilton M, Wong MJQ, Tang L, Liang X, Moore R, Parkins MD, et al. Chelation of Membrane-Bound Cations by Extracellular DNA Activates the Type VI Secretion System in Pseudomonas aeruginosa. Infect Immun. 2016;84: 2355–2361. pmid:27271742
- 69. Ho BT, Basler M, Mekalanos JJ. Type 6 secretion system-mediated immunity to type 4 secretion system-mediated gene transfer. Science. 2013;342: 250–253. pmid:24115441
- 70. Trunk K, Peltier J, Liu YC, Dill BD, Walker L, Gow NAR, et al. The type VI secretion system deploys antifungal effectors against microbial competitors. Nat Microbiol. 2018;3: 920–931. pmid:30038307
- 71. Haapalainen M, Mosorin H, Dorati F, Wu RF, Roine E, Taira S, et al. Hcp2, a secreted protein of the phytopathogen Pseudomonas syringae pv. tomato DC3000, is required for fitness for competition against bacteria and yeasts. J Bacteriol. 2012;194: 4810–4822. pmid:22753062
- 72. Flaugnatti N, Le TT, Canaan S, Aschtgen MS, Nguyen VS, Blangy S, et al. A phospholipase A1 antibacterial Type VI secretion effector interacts directly with the C-terminal domain of the VgrG spike protein for delivery. Mol Microbiol. 2016;99: 1099–1118. pmid:26714038
- 73. Mittl PR, Schneider-Brachert W. Sel1-like repeat proteins in signal transduction. Cell Signal. 2007;19: 20–31. pmid:16870393
- 74. Rahn A, Whitfield C. Transcriptional organization and regulation of the Escherichia coli K30 group 1 capsule biosynthesis (cps) gene cluster. Mol Microbiol. 2003;47: 1045–1060. pmid:12581358
- 75. Fang CT, Chuang YP, Shun CT, Chang SC, Wang JT. A novel virulence gene in Klebsiella pneumoniae strains causing primary liver abscess and septic metastatic complications. J Exp Med. 2004;199: 697–705. pmid:14993253
- 76. Li J, Yao Y, Xu HH, Hao L, Deng Z, Rajakumar K, et al. SecReT6: a web-based resource for type VI secretion systems found in bacteria. Environ Microbiol. 2015;17: 2196–2202. pmid:25640659
- 77. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 2012;19: 455–477. pmid:22506599
- 78. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30: 2068–2069. pmid:24642063
- 79. Treangen TJ, Ondov BD, Koren S, Phillippy AM. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol. 2014;15: 524-014-0524-x.
- 80. Hadfield J, Croucher NJ, Goater RJ, Abudahab K, Aanensen DM, Harris SR. Phandango: an interactive viewer for bacterial population genomics. Bioinformatics. 2017.
- 81. Aubert DF, Hamad MA, Valvano MA. A markerless deletion method for genetic manipulation of Burkholderia cenocepacia and other multidrug-resistant gram-negative bacteria. Methods Mol Biol. 2014;1197: 311–327. pmid:25172289
- 82. Demarre G, Guerout AM, Matsumoto-Mashimo C, Rowe-Magnus DA, Marliere P, Mazel D. A new family of mobilizable suicide plasmids based on broad host range R388 plasmid (IncW) and RP4 plasmid (IncPalpha) conjugative machineries and their cognate Escherichia coli host strains. Res Microbiol. 2005;156: 245–255. pmid:15748991
- 83. Byrappa S, Gavin DK, Gupta KC. A highly efficient procedure for site-specific mutagenesis of full-length plasmids using Vent DNA polymerase. Genome Res. 1995;5: 404–407. pmid:8750200
- 84. Crepin S, Harel J, Dozois CM. Chromosomal complementation using Tn7 transposon vectors in Enterobacteriaceae. Appl Environ Microbiol. 2012;78: 6001–6008. pmid:22706059
- 85. March C, Moranta D, Regueiro V, Llobet E, Tomas A, Garmendia J, et al. Klebsiella pneumoniae outer membrane protein A is required to prevent the activation of airway epithelial cells. J Biol Chem. 2011;286: 9956–9967. pmid:21278256
- 86. Leiman PG, Basler M, Ramagopal UA, Bonanno JB, Sauder JM, Pukatzki S, et al. Type VI secretion apparatus and phage tail-associated protein complexes share a common evolutionary origin. Proc Natl Acad Sci U S A. 2009;106: 4154–4159. pmid:19251641
- 87. McGuffin LJ, Bryson K, Jones DT. The PSIPRED protein structure prediction server. Bioinformatics. 2000;16: 404–405. pmid:10869041
- 88. Sali A, Blundell TL. Comparative protein modelling by satisfaction of spatial restraints. J Mol Biol. 1993;234: 779–815. pmid:8254673
- 89. Lehtonen JV, Still DJ, Rantanen VV, Ekholm J, Bjorklund D, Iftikhar Z, et al. BODIL: a molecular modeling environment for structure-function analysis and drug design. J Comput Aided Mol Des. 2004;18: 401–419. pmid:15663001
- 90. Benkert P, Kunzli M, Schwede T. QMEAN server for protein model quality estimation. Nucleic Acids Res. 2009;37: W510–4. pmid:19429685
- 91. Wiederstein M, Sippl MJ. ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Res. 2007;35: W407–10. pmid:17517781
- 92. Wallner B, Elofsson A. Can correct protein models be identified? Protein Sci. 2003;12: 1073–1086. pmid:12717029
- 93. Mitchell DA, Marshall TK, Deschenes RJ. Vectors for the inducible overexpression of glutathione S-transferase fusion proteins in yeast. Yeast. 1993;9: 715–722. pmid:8368005
- 94. Sikorski RS, Hieter P. A system of shuttle vectors and yeast host strains designed for efficient manipulation of DNA in Saccharomyces cerevisiae. Genetics. 1989;122: 19–27. pmid:2659436
- 95. Nassif X, Sansonetti PJ. Correlation of the virulence of Klebsiella pneumoniae K1 and K2 with the presence of a plasmid encoding aerobactin. Infect Immun. 1986;54: 603–608. pmid:2946641
- 96. Repizo GD, Gagne S, Foucault-Grunenwald ML, Borges V, Charpentier X, Limansky AS, et al. Differential Role of the T6SS in Acinetobacter baumannii Virulence. PLoS One. 2015;10: e0138265. pmid:26401654
- 97. Mahenthiralingam E, Coenye T, Chung JW, Speert DP, Govan JR, Taylor P, et al. Diagnostically and experimentally useful panel of strains from the Burkholderia cepacia complex. J Clin Microbiol. 2000;38: 910–913 pmid:10655415
- 98. Rosales-Reyes R, Aubert DF, Tolman JS, Amer AO, Valvano MA. Burkholderia cenocepacia type VI secretion system mediates escape of type II secreted proteins into the cytoplasm of infected macrophages. PLoS One. 2012;7: e41726. pmid:22848580
- 99. Flyg C, Kenne K, Boman HG. Insect pathogenic properties of Serratia marcescens: phage-resistant mutants with a decreased resistance to Cecropia immunity and a decreased virulence to Drosophila. J Gen Microbiol. 1980;120: 173–181. pmid:7012273
- 100. Iguchi A, Nagaya Y, Pradel E, Ooka T, Ogura Y, Katsura K, et al. Genome evolution and plasticity of Serratia marcescens, an important multidrug-resistant nosocomial pathogen. Genome Biol Evol. 2014;6: 2096–2110. pmid:25070509
- 101. Gunn JS, Hohmann EL, Miller SI. Transcriptional regulation of Salmonella virulence: a PhoQ periplasmic domain mutation results in increased net phosphotransfer to PhoP. J Bacteriol. 1996;178: 6369–6373. pmid:8892844
- 102. Morales VM, Backman A, Bagdasarian M. A series of wide-host-range low-copy-number vectors that allow direct screening for recombinants. Gene. 1991;97: 39–47. pmid:1847347
- 103. Guzman LM, Belin D, Carson MJ, Beckwith J. Tight regulation, modulation, and high-level expression by vectors containing the arabinose PBAD promoter. J Bacteriol. 1995;177: 4121–4130. pmid:7608087
- 104. Choi KH, Gaynor JB, White KG, Lopez C, Bosio CM, Karkhoff-Schweizer RR, et al. A Tn7-based broad-range bacterial cloning and expression system. Nat Methods. 2005;2: 443–448. pmid:15908923