Summary
Wound infections are often polymicrobial in nature and are associated with poor disease prognoses. Escherichia coli and Staphylococcus aureus are among the top five most cultured pathogens from wound infections. However, little is known about the polymicrobial interactions between E. coli and S. aureus during wound infections. In this study, we show that E. coli kills S. aureus both in vitro and in a mouse excisional wound model via the genotoxin, colibactin. We also show that the BarA-UvrY two component system (TCS) is a novel regulator of the pks island, which acts through the carbon storage global regulatory (Csr) system. Together, our data demonstrate the role of colibactin in inter-species competition and show that it is regulated by BarA-UvrY TCS, a previously uncharacterized regulator of the pks island.
Introduction
Chronic wound infections are often biofilm-associated and polymicrobial in nature (James, Swogger et al. 2008, Kirketerp-Moller, Jensen et al. 2008, Ammons, Morrissey et al. 2015, Wolcott, Hanson et al. 2016). Polymicrobial wound infections are associated with heightened inflammation and delayed wound healing as compared to monomicrobial wound infections (Kelly 1978, Roy, Elgharably et al. 2014). Within polymicrobial communities, interspecies interactions can increase the pathogenicity of either or both species, inducing virulence gene expression, enhancing growth, or promoting antibiotic tolerance and immune evasion (Weigel, Donlan et al. 2007, Ramsey, Rumbaugh et al. 2011, Pastar, Nusbaum et al. 2013, Tien, Goh et al. 2017). Polymicrobial interactions can also be antagonistic via outcompetition for critical nutrients, by interfering with quorum sensing of competitors (Winter, Thiennimitr et al. 2010, Stacy, McNally et al. 2016, Piewngam, Zheng et al. 2018) or by producing antimicrobial agents to kill competitors (Cotter, Ross et al. 2013, Coulthurst 2019, Sgro, Oka et al. 2019). Antimicrobial agents involved in competitor outcompetition include secreted bacteriocins and effector toxins, which are delivered via specialized secretion systems (Cotter, Ross et al. 2013, Coulthurst 2019, Sgro, Oka et al. 2019).
The most frequently cultured bacterial species from wound infections include Staphylococcus aureus, Pseudomonas aeruginosa, Enterococcus spp., Escherichia coli, and Klebsiella pneumoniae (Citron, Goldstein et al. 2007, Trivedi, Parameswaran et al. 2014). The mechanistic basis of polymicrobial interactions in wounds has been examined for S. aureus together with Pseudomonas aeruginosa and Enterococcus faecalis (Weigel, Donlan et al. 2007, Korgaonkar, Trivedi et al. 2013, Pastar, Nusbaum et al. 2013). However, despite the fact that E. coli and S. aureus are among the top five most prevalent pathogens in often polymicrobial surgical, diabetic and non-diabetic wound infections (Giacometti, Cirioni et al. 2000, Citron, Goldstein et al. 2007, Trivedi, Parameswaran et al. 2014, Bessa, Fazii et al. 2015), and coexist within diabetic wound microbiomes (Sloan, Turton et al. 2019, Jnana, Muthuraman et al. 2020, Verbanic, Shen et al. 2020), polymicrobial interaction studies between these organisms, or of E. coli within wound infections in general, are scarce. We have previously shown that E. faecalis promotes E. coli biofilm growth and virulence in vitro and in a mouse excisional wound infection model (Keogh, Tay et al. 2016). However, the mechanistic basis of interactions between S. aureus and E. coli remains largely unknown.
In this study, we show that E. coli antagonizes S. aureus in biofilms and planktonic growth. Both the E. coli pks island and the BarA-UvrY two component system (TCS) are required for killing S. aureus. The pks island encodes the biosynthetic machinery to produce colibactin, a genotoxin that causes DNA damage in eukaryotic cells and is associated with human colorectal cancer (Nougayrede, Homburg et al. 2006, Buc, Dubois et al. 2013). Here we show that E. coli colibactin kills S. aureus by causing irreparable DNA damage. E. coli also antagonizes the growth and survival of S. aureus upon co-infection in a mouse excisional wound model, and this antagonism is dependent on the pks island and the BarA-UvrY TCS. Finally, we show that the BarA-UvrY TCS regulates the expression of the pks island, through the Csr system. Taken together, our data demonstrate the mechanism by which E. coli colibactin acts in inter-species competition to kill S. aureus during wound infection.
Results
E. coli antagonizes the growth of Staphylococcus species during in vitro co-culture
To investigate the mechanistic basis of interactions between S. aureus and E. coli, we assessed the growth of each species within macrocolony biofilms and planktonic co-culture, followed by enumeration of viable CFU of each species on selective media. We first grew dual species macrocolonies with E. coli UTI89 partnered with one of six different strains of S. aureus. By 24 hours, the CFU of all S. aureus strains tested, including the methicillin resistant S. aureus strain (MRSA) USA300, fell from the initial inoculum of 1×105 CFU to below limit of detection in the presence of E. coli, demonstrating that E. coli UTI89 can kill S. aureus within macrocolony co-culture (Figure 1A). Conversely, not all E. coli strains tested could kill S. aureus strain HG001; E. coli MG1655 did not kill S. aureus, suggesting that this phenotype is specific to certain E. coli strains (Figure 1B). To test whether E. coli could similarly kill other members of the Staphylococcus genus, we grew macrocolonies of E. coli with S. saprophyticus and S. epidermidis and observed that both Staphylococcus species were killed (Figure 1C). We also observed S. aureus killing in planktonic culture with E. coli; however, the killing was less efficient and took 48 hours to approach the limit of detection (Figure 1D). Similar to the macrocolony assay, E. coli MG1655 was also unable to kill S. aureus during planktonic growth (Figure 1D). E. coli CFU remained unchanged when grown alone or co-cultured with different strains of S. aureus (Supplementary Figure 1). These results show that E. coli can kill S. aureus both within macrocolony biofilms and planktonic cultures.
(A) Enumeration of different strains of S. aureus grown alone or together with E. coli UTI89 in macrocolonies for 24 h. N=6 independent experiments. (B) Enumeration of S. aureus HG001 from single species or mixed species macrocolonies containing the indicated strain of E. coli, at 24 h. N=6 independent experiments. Statistical significance was determined by one-way ANOVA with Dunnett’s test for multiple comparison. (C) Staphylococci from single species or mixed species macrocolonies co-cultured with E. coli UTI89 for 24 h. N=6 independent biological experiments. (D) Enumeration of S. aureus after planktonic growth alone or mixed with either E. coli UTI89 or MG1655 for 24 or 48 hours. N=6 independent experiments (A-D) Data from single species macrocolonies or planktonic culture are indicated with open bars, and data from mixed species (all inoculated at a ratio of 1EC:1SA) macrocolonies are indicated with checked bars. Individual data points from each biological replicate are indicated with closed circles. (A, C, D) Statistical significance was determined by two-way ANOVA with Sidak’s (A and C) and Tukey’s (D) test for multiple comparisons. ****p< 0.0001. Error bars represent SE from the mean. All statistical tests were performed on log-transformed CFU data. (See Supplementary Figure 1 for paired E. coli CFU to match the S. aureus data shown here.)
E. coli does not kill S. aureus by prophage induction
To gain insight into the mechanism underlying E. coli-mediated killing of S. aureus, we examined the gene expression profiles of both E. coli and S. aureus, comparing single and mixed species macrocolonies. We extracted RNA from macrocolonies grown for 6 hours since viable S. aureus could be recovered at the timepoint (data not shown). Several gene expression pattern changes were distinctive (Figure 2). First, genes related to iron acquisition and utilization were induced in both species within mixed species macrocolonies compared to single species macrocolonies, suggesting that iron is limiting during co-culture. Second, genes associated with phage or mobile elements comprised the most highly induced functional category for S. aureus within mixed species macrocolonies. In S. aureus, the DNA damage-induced SOS response can induce resident prophages, leading to S. aureus lysis (Selva, Viana et al. 2009). Since we also observed that genes involved in DNA repair, such as recA and uvrY, were upregulated in S. aureus mixed species macrocolonies, we hypothesized that prophage induction contributes to E. coli-mediated killing of S. aureus. However, when we tested the prophage-cured S. aureus strain RN450 in the mixed species macrocolony assay (Novick 1967), we observed that it was also readily killed by E. coli (Figure 1A), indicating that prophage induction was not the only mechanism by which E. coli-induced death in S. aureus occurred.
Transcription comparison between single species S. aureus strain HG001 or E. coli strain UTI89 macrocolonies and mixed species macrocolonies (1EC:1SA) after 6 h incubation, a time point at which we do not observe significant S. aureus killing. Vertical black lines represent median values for each gene category. Each circle represents a gene that is differentially regulated (p<0.05, FDR<0.05) in the mixed species macrocolony compared to the single species macrocolony in the respective functional categories, with blue color indicating a functional category where the median value shows increased expression in the mixed species macrocolony and red color indicating decreased expression. Data represent ≥2 biological replicates.
The colibactin pks island and BarA-UvrY TCS contributes to E. coli mediated growth antagonism of S. aureus
To identify the genes involved in E. coli-mediated killing of S. aureus, we screened 14,828 E. coli UTI89 transposon mutants for failure to antagonize S. aureus growth in a macrocolony assay. We validated each E. coli gene identified in the transposon screen for its inability to kill S. aureus after 24 hours of macrocolony co-culture and the transposon insertion sites for validated mutants were determined by whole genome sequencing. The majority (99 out of 108) of transposon insertions mapped to genes of the pks island and genes encoding the two component system (TCS) BarA-UvrY (Table S1). To confirm that these E. coli loci impacted S. aureus survival, we generated deletion mutants comprising the entire pks island, as well as for barA and uvrY, all of which had significantly higher S. aureus CFU in the mixed species macrocolony compared to E. coli UTI89 wild type (Figure 3A). These mutants grew as well as wild type (data not shown), showing that attenuation of the killing phenotype was not due to growth differences. Although co-culture with E. coli Δpks did not restore S. aureus growth to single species growth levels, S. aureus CFU were similar to that in co-culture with E. coli MG1655 (Figure 1A), which also failed to kill S. aureus. We therefore surmise that nutrient competition within mixed species macrocolonies results in a 1-2 log decrease in S. aureus compared to S. aureus grown alone. Notably, co-culture with either ΔbarA or ΔuvrY only partially restored S. aureus growth, suggesting that the growth antagonism is not completely abolished when the BarA-UvrY TCS is inactivated (Figure 3A). These data show that the pks island is necessary for S. aureus killing and suggest that the BarA-UvrY TCS may either directly or indirectly regulate the expression of the pks island or the activity of its gene products.
(A) Enumeration of S. aureus USA300 LAC and mixed (1EC:1SA) macrocolonies with either UTI89 wild type or knockout mutants of the pks island, barA or uvrY. Data from single species macrocolonies are indicated with open bars, and data from mixed species macrocolonies are indicated with checked bars. N=6 independent biological experiments. Statistical significance was determined by one-way ANOVA with Dunnett’s test for multiple comparison. (B) Enumeration of S. aureus USA300 LAC from 8 h macrocolonies. Wild type S. aureus USA300 LAC and uvrABC transposon mutants were mixed 1EC:1SA with either E. coli UTI89 or knockout mutants of the pks island. N=6 independent experiments. (C) Enumeration of S. aureus from 24 h macrocolonies. Wild type S. aureus USA300 LAC was transformed with pJC-2343 (pEmpty) or pJC-2343-ClbS (pClbS) and mixed 1:1 with either E. coli UTI89 or knockout mutants of the pks island. N=6 independent experiments. Individual data points are indicated with closed circles. (B and C) Statistical significance was determined by Two-way ANOVA with Tukey’s test for multiple comparisons. ****p< 0.0001, error bars represent SE from the mean. All statistical tests were performed on log-transformed CFU data. (See Supplementary Table S1 for full list of transposon mutants identified in this screen.)
The genotoxin colibactin kills S. aureus by inducing DNA damage
The pks island encodes enzymes required for the synthesis of the genotoxin colibactin (Fais, Delmas et al. 2018). E. coli strains carrying the 54 kb pks island generate DNA adducts and induce DNA crosslinks in mammalian cells (Nougayrede, Homburg et al. 2006, Vizcaino and Crawford 2015, Bossuet-Greif, Vignard et al. 2018, Wilson, Jiang et al. 2019). In bacteria, DNA adducts and crosslinks can be repaired via the nucleotide excision repair (NER) pathway, facilitated by the UvrABC endonuclease complex (Kisker, Kuper et al. 2013). Accordingly, pks+ E. coli strains lacking both UvrB and the ClbS colibactin immunity protein, which protects E. coli from colibactin-mediated autotoxicity, are severely impaired for growth (Bossuet-Greif, Dubois et al. 2016). Consistent with DNA damage, we found that S. aureus uvrABC genes were significantly upregulated in mixed species macrocolonies with E. coli (Figure 2). Macrocolony co-culture of S. aureus uvrA, uvrB and uvrC transposon mutants with E. coli resulted in accelerated pks-dependent killing and significantly fewer S. aureus CFU at 8 hours, suggesting a role for NER in the protection of S. aureus from colibactin-mediated killing (Figure 3B). To further investigate the role of colibactin in S. aureus killing, we expressed the colibactin immunity protein ClbS in S. aureus. Expression of ClbS in S. aureus cells conferred full protection from E. coli pks-mediated killing, suggesting that colibactin is responsible for S. aureus cytotoxicity (Figure 3C). Collectively, these data establish that colibactin, synthesized by pks+ E. coli, kills S. aureus by causing DNA damage in S. aureus in a manner similar to that documented in eukaryotic cells.
N-myristoyl-D-Asn causes pore formation in S. aureus
Maturation of colibactin requires the removal of the prodrug motif, N-myristoyl-D-Asn (NMDA), by ClbP peptidase (Bian, Fu et al. 2013, Brotherton and Balskus 2013). NMDA is the most abundant of the pks island metabolites along with its analogues that vary in acyl chain lengths (C12 to C16) (Vizcaino, Engel et al. 2014). These intermediates do not exhibit cytotoxic or genotoxic activity in HeLa cells; however, NMDA can modestly inhibit Bacillus subtilis growth (Vizcaino, Engel et al. 2014). Thus, we investigated if the production of NMDA could provide an alternative explanation for the killing of S. aureus by pks+ E. coli. We synthesized NMDA and added it at increasing concentrations to S. aureus but we observed minimal dose-dependent growth inhibition, and only at high concentrations of 600 µM (Supplementary Figure 2A). Despite the absence of significant toxicity, NMDA treatment resulted in increased S. aureus membrane permeability as measured by propidium iodide uptake using flow cytometry (Supplementary Figure 2B). Thus, NMDA, which is the most abundant colibactin metabolite isolated from culture supernatants (Vizcaino, Engel et al. 2014) and is therefore likely released from E. coli along with colibactin, can compromise S. aureus membrane integrity.
BarA-UvrY TCS regulates pks island genes via the Csr system
Since both pks and barA/uvrY E. coli mutants failed to kill S. aureus, we hypothesized that the BarA-UvrY TCS is involved in the regulation of the pks island. To investigate this, we first compared the expression of pks island genes (clbA and clbB) between single species macrocolonies of wild type E. coli and E. coli ΔuvrY and found out that the expression of both clbA and clbB were significantly lower in the E. coli ΔuvrY macrocolony (Figure 4A). Next, we examined the expression of pks island genes in the presence or absence of S. aureus, and found that E. coli clbA expression was significantly increased in mixed species macrocolonies compared to E. coli single species macrocolonies (Figure 4B). By contrast, expression of both clbA and clbB were significantly lower when E. coli ΔuvrY was co-cultured in macrocolonies with S. aureus, compared to wild type E. coli-S. aureus macrocolonies, suggesting that the BarA-UvrY TCS is involved in regulating pks island gene expression (Figure 4C). Moreover, S. aureus-dependent induction of clbA and clbB gene expression in wild type E. coli was significantly attenuated upon macrocolony co-culture with E. coli ΔuvrY (Figure 4D), together suggesting that E. coli can use the BarA-UvrY system to sense S. aureus and induce pks island gene expression.
(A) RT-qPCR of E. coli single species macrocolonies and E. coli ΔuvrY single species macrocolonies at 24 h. (B) RT-qPCR of E. coli single species macrocolonies and E. coli mixed species macrocolonies at 24 h. (C) RT-qPCR of E. coli mixed species macrocolonies and E. coli ΔuvrY mixed species macrocolonies at 24 h. (D) RT-qPCR of E. coli single species macrocolonies and E. coli ΔuvrY mixed species macrocolonies at 24 h. N=3 independent experiments, each the average of 4 technical replicates. Gene expression was normalized to the gyrA housekeeping gene. Individual data points from each biological replicate are indicated with closed circles. Statistical significance was determined by Bonferroni’s multiple comparisons test for two-way ANOVA, ****p< 0.0001, error bars represent SE from the mean.
The BarA-UvrY TCS regulates the expression of the Csr system, which in turn regulates a variety of metabolic and virulence genes via the global regulator CsrA (Romeo and Babitzke 2018). CsrA is a post-transcriptional regulator that can either promote or suppress gene expression (Timmermans and Van Melderen 2010). Activation of the BarA-UvrY TCS, leads to the expression of the sRNAs CsrB and CsrC, which bind to CsrA and inhibit the regulatory activity of CsrA (Timmermans and Van Melderen 2010). Therefore, if BarA-UvrY regulates pks transcription via CsrA, we hypothesized that increasing expression of CsrA would suppress pks island gene expression and increasing expression of CsrB would lead to the upregulation of pks island genes. Consistent with these predictions, we observed that overexpression of CsrA leads to the downregulation of pks island genes, suggesting that CsrA is a negative regulator of the pks island (Figure 5A). Conversely, overexpression of CsrB resulted in upregulation of pks island genes (Figure 5B). Co-culturing the E. coli overexpression strains with S. aureus in macrocolonies was consistent with the pks expression data, such that CsrA overexpression led to reduced pks gene expression and S. aureus killing, and CsrB overexpression led to increased pks gene expression and enhanced killing (Figure 5C). CsrA regulates gene expression by binding to its target mRNA at GGA motifs, which can be found in the 5’ untranslated region, early coding region, and the stem-loop structure of the mRNA (Dubey, Baker et al. 2005, Vakulskas, Potts et al. 2015, Potts, Vakulskas et al. 2017). We generated a E. coli strain where the GGA motifs in clbR were modified, which is predicted to reduce CsrA binding efficiency to clbR mRNA, as has been reported for other CsrA mRNA substrates (Dubey, Baker et al. 2005, Romeo and Babitzke 2018). We hypothesized that this strain, E. coli clbRmut would significantly increase S. aureus killing because CsrA suppression of clbR expression would be alleviated. Consistent with this hypothesis, we observed that E. coli clbRmut kills S. aureus faster than wild type E. coli (Figure 5D). Collectively, these data demonstrate that the E. coli BarA-UvrY TCS senses S. aureus and responds by inducing pks gene expression via CsrA which acts as a negative regulator of the pks island.
(A) RT-qPCR of 16 h macrocolonies of E. coli pTrc99a (pEmpty) and E. coli pTrc99a-CsrA (pCsrA). (B) RT-qPCR of 16 h macrocolonies of E. coli pEmpty and E. coli pCsrB. N=5-6 independent experiments, each the average of 2 technical replicates. Gene expression was normalized to the gyrA housekeeping gene. Statistical significance was determined by two-way ANOVA with Bonferroni’s test for multiple comparison, **p< 0.01, ****p< 0.0001, error bars represent SE from the mean. ****p< 0.0001, error bars represent SD from the mean. (C) Enumeration of S. aureus from 16 h mixed macrocolonies (1EC:1SA) with either E. coli pEmpty, E. coli pCsrA or E. coli pCsrB. N=6 independent experiments. (D) Enumeration of S. aureus mixed macrocolonies (1EC:1SA) from 16 h with either E. coli WT, E. coli ClbRmut or E. coli pks deletion mutant. N=6 independent experiments. Individual data points are indicated with closed circles. (C and D) Statistical significance was determined by Ordinary One-way ANOVA with Dunnett’s test for multiple comparison. ****p< 0.0001, error bars represent SE from the mean. Statistical tests were performed on log-transformed data.
E. coli antagonizes the growth of S. aureus in a mouse model of wound infection
To determine whether E. coli could similarly antagonize S. aureus growth in vivo within a mixed species wound infection, we infected excisional wounds of C57BL/6 mice with 106 CFU each of E. coli and S. aureus cells and monitored the bacterial burden at the wound site. At 24 hours post infection (hpi), S. aureus CFU were significantly reduced when co-infected with E. coli as compared to single species S. aureus infection (Figure 6A). Upon co-infection with S. aureus and E. coli Δpks, S. aureus CFU remained similar to S. aureus single species infected wounds (Figure 6B), whereas co-infection E. coli ΔbarA or E. coli ΔuvrY resulted in increased S. aureus survival, but not restoration to single species levels (Figure 6C), similar to our in vitro results (Figure 3A). Together, these data demonstrate that both the E. coli pks island and the BarA-UvrY TCS are important for the growth antagonism of S. aureus observed in mixed species infections in vivo.
Mice were co-infected with E. coli UTI89 and S. aureus USA300 LAC at 1-2 × 106 CFU/wound. Wound CFU were enumerated at 24 h post infection. S. aureus single species infection or co-infection with (A) E. coli UTI89 WT, (B) E. coli pks mutant, or (C) BarA-UvrY TCS mutants. Each black circle represents one mouse, horizontal lines represent the median. N=2 independent experiments, each with 5-6 mice per group. Statistical analysis was performed using Kruskal-Wallis test with Dunn’s post-test to correct for multiple comparisons. *p< 0.05, **p< 0.01, ****p< 0.0001.
Discussion
Escherichia coli and Staphylococcus aureus are both important pathogens that cause wound infections, blood infections, urinary tract infections and infective endocarditis (Kaper 2005, Lauridsen, Arpi et al. 2011, Tong, Davis et al. 2015). Both E. coli and S. aureus can exhibit polymicrobial synergy with other bacterial species during infection, which is advantageous for these pathogens, but often leads to adverse disease outcomes (Pastar, Nusbaum et al. 2013, Keogh, Tay et al. 2016, Tien, Goh et al. 2017). While many studies have investigated the mechanistic basis of polymicrobial interactions between different microbial species, the molecular interactions between E. coli and S. aureus have not been reported. In this study, we found that E. coli production of colibactin is responsible for the growth antagonism toward S. aureus, resulting in significant inhibition of S. aureus in vitro and in vivo during polymicrobial wound infection. E. coli pks genes are upregulated during co-culture with S. aureus, supporting the proposed role of E. coli colibactin as an effector for niche adaptation or domination (Tronnet, Floch et al. 2020). Finally, we found that the E. coli two component signal transduction system BarA-UvrY senses the polymicrobial environment leading to the upregulation of the pks island via the CsrA system.
Colibactin, encoded by the pks genomic island, is a genotoxin that causes double-stranded DNA breaks, chromosomal instability, and cell cycle arrest in eukaryotic cells (Nougayrede, Homburg et al. 2006, Cuevas-Ramos, Petit et al. 2010). A functional role for the pks island in polymicrobial interactions has also been reported. Colibactin altered the gut microbiome composition in newborn mice when the pregnant mothers were previously colonized with pks+ E. coli, with Firmicute reduction observed starting 35 days after birth (Tronnet, Floch et al. 2020). More relevant to our work, E. coli episomally expressing the pks island spotted onto lawns of S. aureus gave rise to small zones of inhibition around the pks+ E. coli colonies, although they did not confirm that colibactin was the factor producing antibiotic activity (Fais, Cougnoux et al. 2016). We similarly observed that this antagonism was more efficient within macrocolonies, where E. coli completely inhibits the growth of S. aureus within 24 hours as compared to planktonic cultures, where we only saw significant growth inhibition at 48 hours. These data indicate that colibactin-mediated growth inhibition of S. aureus is favored at close proximity but is not a biofilm dependent phenotype.
Colibactin is genotoxic toward eukaryotic cells, and the ClbS immunity protein, which hydrolyzes colibactin into a non-toxic compound, protects the mammalian host DNA from damage (Bossuet-Greif, Dubois et al. 2016, Tripathi, Shine et al. 2017). Consistent with the role of ClbS as a colibactin immunity protein, E. coli clbS mutants displayed increased recA expression, and clbS uvrB double mutants are significantly attenuated in growth (Bossuet-Greif, Dubois et al. 2016). Similarly, we observed transcriptional induction of genes involved in DNA repair, such as recA and uvrA in S. aureus upon co-culture with E. coli. Furthermore, S. aureus mutants of the nucleotide excision repair (NER) pathway (uvrA, uvrB and uvrC) were more susceptible to E. coli mediated growth inhibition. Importantly, clbS expression in S. aureus conferred full protection from E. coli-mediated growth inhibition. Therefore, this experiment confirms that colibactin is the factor inhibiting the growth of S. aureus, a conclusion that is also consistent with other observations made in this study. First, colibactin is highly unstable (Fais, Delmas et al. 2018), which explains why the most efficient growth inhibition of S. aureus is seen when both species are in close contact within a macrocolony biofilm, whereas killing was less efficient in planktonic co-culture. Second, only pks+ E. coli can inhibit the growth of S. aureus, which explains why E. coli MG1655 is unable to inhibit S. aureus growth, as it does not possess the pks island (Bonnet, Buc et al. 2014, Yang and Jobin 2014). Finally, while NMDA impaired the integrity of the S. aureus membrane and has been shown to modestly inhibit B. subtilis growth (Vizcaino, Engel et al. 2014), full protection by ClbS expression in S. aureus indicates that mature colibactin, and not an intermediate such as NMDA, is responsible for S. aureus killing by E. coli. To date, it is not known how colibactin enters mammalian or bacterial target cells; however, the ability of NMDA to compromise the membranes of S. aureus could serve as a mechanism for colibactin entry in some circumstances.
In E. coli, pks island genes are upregulated when iron is limited in a Fur-dependent manner, while pks island genes are downregulated when iron is in abundance (Tronnet, Garcie et al. 2016, Tronnet, Garcie et al. 2017). While gene expression profiling indicates that both E. coli and S. aureus are experiencing iron-limitation in mixed species macrocolonies, iron-supplementation experiments did not prevent E. coli-mediated killing of S. aureus (data not shown), suggesting that iron restriction is not the sole driver of pks expression in this mixed species interaction. Indeed, we have shown that the BarA-UvrY TCS also regulates the expression of the pks island. The presence of S. aureus leads to transcriptional upregulation of pks island, in a BarA-UvrY-dependent manner. However, while S. aureus growth is partially restored when S. aureus is co-cultured with either barA or uvrY mutants, it is not restored to the level of the Δpks strain. These data may suggest that the BarA-UvrY is also not the sole driver of pks expression and that, perhaps, iron limitation could impact pks island transcription in the absence of the BarA-UvrY TCS.
One of the direct targets of the BarA-UvrY TCS is the Csr system, which in turn regulates diverse functional pathways such as glycolysis, gluconeogenesis, and expression of virulence factors such as biofilm formation, toxin production and pilus expression (Timmermans and Van Melderen 2010). Upon activation of BarA, activated UvrY induces the expression of csrB and csrC (Suzuki, Wang et al. 2002, Weilbacher, Suzuki et al. 2003). csrB and csrC are small non-coding RNAs (sRNAs) that bind to CsrA to negatively regulate the activity of the CsrA transcriptional regulator (Timmermans and Van Melderen 2010). The BarA-UvrY TCS have been previously demonstrated to be essential for pks+ E. coli-mediated genotoxicity of HeLa cells (Homburg 2007), together suggesting a link between this TCS, the Csr system, and colibactin synthesis, which our data support. Colibactin function has largely been studied in the context of colorectal cancer (Fais, Delmas et al. 2018). Since we know that pks is regulated by both iron and the BarA-UvrY system, and since iron may not always be a limited nutrient in the gastrointestinal (GI) tract (Seyoum, Baye et al. 2021), these facts suggest that BarA-UvrY may be the predominant regulator of pks island expression in the GI tract. Short -chain fatty acids (SCFAs) such as acetate, propionate and butyrate are abundant in the GI tract (Silva, Bernardi et al. 2020). Furthermore, these SCFAs have been demonstrated to be the stimulus of the BarA histidine kinase (Chavez, Alvarez et al. 2010).
As such, the presence of SCFA could serve as a signal for upregulation of the pks island via the BarA-UvrY TCS in the GI tract. Consistent with a role for SCFA sensing by BarA, both E. coli and S. aureus have been reported to accumulate and increase production of these molecules when is iron is limited, which is suggested by gene expression profiles of mixed species macrocolonies (Friedman, Stauff et al. 2006, Folsom, Parker et al. 2014). Overall, these results not only bridge the knowledge gap in understanding the polymicrobial interactions between E. coli and S. aureus, but also contribute to the understanding pks island regulation in the context of polymicrobial infections.
E. coli and S. aureus are causative agents of wound infections (Negut, Grumezescu et al. 2018), where they can be co-isolated from polymicrobial wound infections (Bessa, Fazii et al. 2015, Krumkamp, Oppong et al. 2020). However, the frequency of co-infection with these two species is not clear from epidemiology literature. Our report that pks+ strains of E. coli inhibit S. aureus growth in wound infections suggest several possibilities. It is possible that when E. coli and S. aureus are co-isolated from wounds, the E. coli strains do not encode or express the pks island. Alternatively, pks+ E. coli that are co-isolated with S. aureus from wound infections may retain spatial segregation within wound biofilms such that colibactin is not in close enough proximity to S. aureus to severely limit its growth. It is also possible that host-dependent factors may serve to inactivate colibactin in some individuals. More detailed epidemiological, metagenomic, and pangenomic studies of wound infection microbiota are required to understand the ecological landscape within wound infections.
In summary, in this study, we have shown that co-infection with S. aureus induces E. coli colibactin production, which in turn is inhibitory to S. aureus in vitro and in vivo, informing the microbial ecology at play during polymicrobial wound infections. Additionally, we report that the BarA-UvrY TCS indirectly regulates pks gene expression via the Csr system. The antimicrobial spectrum of colibactin is not limited to S. aureus species as previously reported (Fais, Cougnoux et al. 2016), but extends to all the Staphylococal species we tested. However, colibactin bacterial killing appears limited to Staphylococcal genus (Fais, Cougnoux et al. 2016, Keogh, Tay et al. 2016) for reasons we don’t understand at this time, raising the possibility of colibactin-related compounds as a narrow-spectrum anti-Staphylococcal therapeutic. Its genotoxicity toward mammalian cells notwithstanding, colibactin has also been enigmatic to purify at useful yields (Fais, Delmas et al. 2018), complicating its optimization as a therapeutic. Nonetheless, this work underscores the importance of the BarA-UvrY two component system in the regulation of the pks island, which could potentially be a therapeutic target to inhibit colibactin synthesis.
Author contributions
J.J.W. and K.A.K. designed experiments, analysed data and prepared the manuscript. J.J.W., K.K.L.C., F.K.H., B.C.M.H., and P.Y.C. performed experiments and analysed data. K.K.L.C. analysed RNA-seq data. J.J.W., D.K., and K.A.K. conceptualised the study. R.N. and C.F.L. synthesized N-myristoyl-D-Asn for this study. J.C. provided plasmids. All authors reviewed the manuscript.
Declaration of interests
The authors declare no competing interests.
STAR methods
Bacteria strains and growth conditions
All strains and plasmids used in this study are listed in Table S2. Both E. coli and S. aureus were grown in Tryptic Soy Broth (TSB; Merck, Singapore) at 37 °C either with shaking at 200 RPM or under static conditions to late stationary phase. Overnight cultures were normalized to 1-2 × 108 colony forming units (CFU)/ mL by washing the cell pellets twice with phosphate buffered saline (PBS) and then normalized to optical density (OD600nm) of 0.4 (E. coli) and 0.5 (S. aureus) by diluting in PBS.
Generation of deletion mutants
E. coli UTI89 mutants were generated using the positive-negative selection system as described previously (Khetrapal, Mehershahi et al. 2015). Briefly, the first recombination requires amplification of the positive-negative selection cassette (Kan_RelE) from the plasmid pSLC-217 via PCR. Primers contained 50 bp homology sequence that upstream or downstream to the target gene. E. coli UTI89 carrying the pKM208 plasmid were induced with 1 mM IPTG and made electro-competent. The competent cells were transformed with 1 μg of PCR product via electroporation. The electroporated cells were recovered in LB at 37 C for 3 hr with shaking, followed by static incubation for 1 hr. The transformed cells were plated on LB agar plates supplemented with 50 μg/mL kanamycin to select for cells with the Kan_RelE selection cassette inserted into the target gene. The second recombination requires the amplification of 500 bp of DNA sequence that is upstream and downstream of the target gene and stitching them together. For the second recombination, E. coli UTI89 with the positive-negative cassette inserted into the target gene and carrying the pKM208 plasmid were induced with 1 mM IPTG and made electro-competent. The electrocompetent cells were transformed with 1 μg of the stitching fragment via electroporation. After recovery, the cells were plated on M9 agar plates supplemented with 0.2 % rhamnose. The resulting knockout mutants were confirmed by colony PCR (see Table S3 for primers used in this study).
Generation of plasmids
To create the ClbS expression vector, plasmid pJC-2343 was linearized with primers (InFusion_Vector_F/InFusion_Vector_R) and ClbS was amplified with primers (InFusion_ClbS_F/ InFusion_ClbS_R) using E. coli UTI89 genomic DNA as a template. PCR was performed using Q5® High-Fidelity DNA polymerase (New England Biolabs, United States) according to the manufacturer’s protocol. Thereafter, PCR purification was performed using Wizard® SV Gel and PCR Clean-Up System (Promega, United States) following the manufacturer’s protocol. ClbS DNA was inserted into the linearized plasmid using In-Fusion HD Cloning system (Takara, Japan). The infusion product was used to transform into Stellar™ Competent Cells (Takara, Japan). The vector was linearized by inverse PCR with outward directed primers (SodA_RBS_F/ SodA_RBS_R) containing the SodA RBS and re-ligated using Kinase, Ligase, DpnI (KLD) mix (New England Biolabs, United States) (Malone, Boles et al. 2009). The plasmid pJC-2343-ClbS was extracted from Stellar™ competent cells using the Monarch® Plasmid Miniprep Kit and used to transform S. aureus USA300 LAC via phage generalized transduction. The sarA P1 promoter was amplified from NCTC 8325 with primers JCO 1141 + JCO 1142 and cloned into pJC1213 at SphI and PstI to generate pJC2343 (Chen, Ram et al. 2015). Primers used are shown in Table S3. Successful expression of ClbS in S. aureus USA300 LAC was verified by Western blot using guinea pig polyclonal antisera against ClbS and an anti-Guinea pig-HRP secondary antibody for detection.
To create vectors for expression of csrA and csrB, the respective genes were amplified using E. coli UTI89 genomic DNA as a template and primers containing NcoI and HindIII restriction sites. PCR was performed using Q5® High-Fidelity DNA polymerase (New England Biolabs, United States) according to the manufacturer’s protocol, using primers (OEcsrA_F/OEcsrA_R) for the csrA insert and primers (OEcsrB_F/ OEcsrB_R) for the csrB insert. PCR purification was performed using Wizard® SV Gel and PCR Clean-Up System (Promega, United States) in accordance with the manufacturer’s protocol. Thereafter, the vector pTrc99A and the PCR products were digested with NcoI-HF® and HindIII-HF® (New England Biolabs, United States) according to the manufacturer’s protocol. The vector and insert were ligated with T4 DNA ligase (New England Biolabs, United States) following the manufacturer’s protocol. The ligated product was used to transform Stellar™ Competent Cells (Takara, Japan). The plasmids pTrc99A-CsrA and pTrc99A-CsrB were extracted from Stellar™ competent cells using the Monarch® Plasmid Miniprep Kit and used to transform electrocompetent E. coli UTI89. The resulting knockout mutants were confirmed by colony PCR. Primers used in this study are listed below in Table S3.
Generation of polyclonal antisera
Recombinant protein fragments were designed, expressed, and purified using the Protein Production Platform (NTU, Singapore) as previously described (Afonina, Lim et al. 2018). The ClbS target comprised of amino acid residues 2 to 166 from NCBI RefSeq accession no. ABE07674.1 and were cloned into pNIC28-Bsa4 with an N-terminal His tag followed by a TEV protease cleavage site. Polyclonal antisera were generated commercially (SABio, Singapore) by immunization of guinea pigs with purified recombinant ClbS. Specificity of the immune sera was confirmed by the absence of signal on Western blots of whole-cell lysates from wild-type S. aureus USA300 LAC with vector control.
Macrocolony biofilm assay
E. coli and S. aureus were grown to late stationary phase and normalized as described above. Normalized cultures of E. coli and S. aureus were mixed at a 1:1 ratio for mixed species macrocolony inocula or diluted twice with PBS for single species macrocolony inocula. 5 μL of each mixture were spotted on TSB supplemented with 1.5 % (w/v) agar. Macrocolonies were grown at 37 °C to the required timepoint. Thereafter, the macrocolonies were harvested using a sterile blade and resuspended in PBS. For enumeration of viable CFU of each strain, the resuspension was plated on medium to select for E. coli (McConkey; Merck Singapore) or S. aureus (TSB supplemented with colistin and nalidixic acid; 5 μg/mL each).
Planktonic co-culture assay
E. coli and S. aureus were grown to late stationary phase and normalized as described above. Normalized cultures of E. coli and S. aureus were mixed at a 1:1 ratio for mixed cultures or diluted twice with PBS for single cultures. 5 μL of each mixture was inoculated in 5 mL of TSB broth and grown at 37 °C with shaking at 200 RPM or under static conditions. At specific timepoints, 200 μL of the culture was sampled for enumeration of viable CFU before performing serial dilution and plating on selective medium to select for E. coli and S. aureus.
RNA extraction from macrocolonies
Single species and mixed species macrocolonies were grown for 6 hours followed by RNA extraction. The macrocolony was first resuspended in TRIzol Reagent (Ambion) and physical cell lysis was performed using Lysing Matrix B (MP Biomedicals). Thereafter, nucleic acids were purified via chloroform extraction followed by isopropanol precipitation. To remove DNA, DNase treatment was performed using the TURBO DNA-free kit (Ambion, USA). Ribosomal RNA (rRNA) was depleted from the samples using the RIBO-Zero Magnetic Bacterial Kit (Epicentre). RNA was converted to cDNA using the NEBNext RNA First Strand Synthesis Module and NEBNext Ultra Directional RNA Second Strand Synthesis Module (New England Biolabs, USA). Library preparation was performed by the SCELSE sequencing facility and sequenced via Illumina Miseq2500 machine as 250 bp paired reads.
Transcriptomic analysis
RNA sequencing reads were trimmed via BBMap tools (Bushnell, 2016). The trimmed reads were mapped to S. aureus HG001 (GenBank assembly accession GCA_000013425.1) and E. coli UTI89 reference genome (GenBank assembly accession GCA_000013265.1) using BWA (version 0.7.15-r1140) (Li and Durbin 2009, Nagalakshmi, Waern et al. 2010). Reads were mapped to predicted open reading frames to each reference genome using HTSeq (Anders, Pyl et al. 2015). Gene expression analyses were done in R (version 3.4.4) using Bioconductor package, edgeR (Robinson, McCarthy et al. 2010). Gene expression differences were considered significant if the false discovery rate (FDR) was below 0.05. Annotation of genes was done using Kyoto Encyclopedia of Genes and Genomes (KEGG). The raw and processed data for the RNA-seq can be found under the GEO accession number: GSE190571.
Generation of E. coli transposon mutant library
E. coli UTI89 were made electrocompetent, achieving a transformation efficiency of 107-109 CFU/μg of DNA. Briefly, pre-warmed SB medium (Tryptone, 30 g/L; yeast extract, 20 g/L; MOPS, 10 g/L) were inoculated with overnight cultures at a 1:250 ratio and incubated at 37 C with shaking at 200 RPM to mid-log phase (OD600nm 0.8-0.9). The cultures were then chilled on ice for 15 min before washing the cell pellets 3 times in ice cold 10% glycerol. The cell pellets were resuspended in 1 ml of 10% glycerol and aliquoted into 50 μL aliquots. The aliquots were flash frozen in liquid nitrogen and stored at -80 °C. A transposon library of E. coli UTI89 was generated with the EZ-Tn5™ <R6Kγori/KAN-2>Tnp Transposome™ Kit (Epicentre®), according to the manufacturer’s protocol. Following transformation, the electroporated cells were allowed to recover at 37 °C for 1 hr in SOC media (Yeast extract, 5 g/L; Tryptone, 20 g/L; 10 mM NaCl; 2.5 mM KCl; 10 mM MgCl2; 10 mM MgSO4; and 20 mM glucose). Finally, the electroporated cells were diluted in PBS to achieve approximately 100 CFU/plate. The diluted cells were spread on Miller’s LB 1.5% (w/v) agar plates supplemented with 50 μg/mL kanamycin and incubated overnight at 37 °C.
Transposon library screen
Individual mutants of the E. coli UTI89 transposon library were inoculated in 200 μL of LB media in 96-well plates and incubated at 37 °C statically overnight. A S. aureus USA300 LAC-GFP overnight culture was normalized as described above and diluted 100-fold to a final volume of 200 μL in 96-well plates before 3 μL of each UTI89 mutant were transferred into each well. Finally, 3 μL of the mixed cultures were spotted onto TSB agar and incubated at 37 °C for 48 hours. A primary screen was conducted based on fluorescence intensity within the macrocolony, indicative of viable GFP-expressing S. aureus. Subsequently, mutants from the primary screen were validated by macrocolony biofilm assays and growth kinetic assays before whole genome sequencing was performed to identify the location of the transposon.
Solid phase synthesis of N-myristoyl-D-Asn synthesis
The synthesis of N-myristoyl-D-Asn (NMDA) was performed as previously described (Vizcaino, Engel et al. 2014), with modifications. All the solvents and reagents were purchased from commercial suppliers and used without further purification. N2-Fmoc-N4-trityl-D-asparagine [Fmoc-D-Asn(Trt)-OH], 2-chlorotrityl chloride resin (1.0mmol/g, 100∼200mesh, 1%DVB) and PyBOP were purchased from GL Biochem (Shangai) Ltd. 1H NMR was recorded on a Bruker 400 MHz spectrometer at 298 K. All chemical shifts were quoted in ppm and coupling constants were measured in Hz. Electrospray ionization mass spectrum (ESI-MS) of NMDA was measured in negative mode on a Thermo LTQ XL system.
Pre-activation of 2-chlorotrityl chloride resin
A polystyrene resin carrying a 2-chlorotrityl chloride linker (500 mg, 0.75 mmol, 1.5 mmol/g) was placed into a 50 mL polypropylene syringe fitted with a polyethylene porous frit (20 µm). The resin was swollen with dry DMF (3 × 10 mL). After removal of DMF, a solution of thionyl chloride (200 µL, 7.0 µmol) in DMF (5 mL) was added and the reaction mixture stirred for 1 h. The re-activated 2-chlorotrityl chloride resin (Supplementary Figure 3:1) was washed with DMF (3 ×10 mL) and dry dichloromethane (DCM, 3×10 mL).
Loading of Fmoc-D-Asn(Trt)-OH on 2-chlorotrityl chloride resin
Fmoc-D-Asn(Trt)-OH (Supplementary Figure 3:2, 3 equiv.) was mixed with 2-chlorotrityl chloride resin (Supplementary Figure 3:1) in anhydrous DCM (10 mL), followed by addition of N,N-diisopropylethylamine (DIPEA, 3 equiv.). The mixture was shaken for 30 min at room temperature. The resin was washed with DMF (10 mL) and the remaining reactive chloride groups were quenched with a solution of DCM:MeOH:DIPEA (5 mL, 80:15:5), followed by washing with DMF (3 × 5 mL) to yield the resin (Supplementary Figure 3:3).
Fmoc deprotection
To the resin (Supplementary Figure 3:3, 0.75mmol) pre-swollen in DCM was added 20% piperidine in DMF (10mL) and the reaction mixture was shaken for 10 min. The solution was drained, and the resin was washed with DMF (x3), DCM (x3). This procedure was repeated twice to obtain the resin (Supplementary Figure 3:4). Myristic acid (Supplementary Figure 3:5, 3 eqiv.) and PyBOP (6 equiv.) were dissolved in DMF/DCM (50/50). DIPEA (8 eq) was added to the mixture to activate the carboxylic acid. The solution was added to the resin (Supplementary Figure 3:4) and the mixture was shaken for 1 h at room temperature. Completion of the coupling reaction was checked using the Ninhydrin test. The solution was drained and the resin was washed with DMF (3 times), DCM (3 times) successively to give the resin (Supplementary Figure 3:6).
Cleavage of NMDA from the resin
To the resin (Supplementary Figure 3:6) was added the cleavage mixture TFA/H2O/TIS (95%/2.5%/2.5%, 5mL) and the mixture was shaken for 3 h at room temperature. The resin was removed by filtration and the resin was washed with the cleavage mixture once (2.5 mL). To the combined filtrate was added dropwise cold diethyl ether to precipitate the crude NMDA. The precipitate was collected after centrifugation and the diethyl ether decanted. This solid was washed with cold diethyl ether three times (20-30 mL x3) using the centrifugation procedure. The crude product was purified by semi-preparative reverse-phase-HPLC. Semi-preparative RP-HPLC was preformed using a Shimadzu HPLC system equipped with a Phenomenex jupiter-C18 RP column (10 × 250 mm, 5 μm) with a flow rate of 2.5 mL per minute, eluting using a gradient of buffer B (90% acetonitrile, 10% H2O, 0.045% TFA) in buffer A (H2O, 0.045% TFA). The combined pure NMDA fractions after HPLC purification were lyophilized to afford N-myristoyl-D-asparagine in powder form.
Compound characterization
The obtained pure compound was characterized by 1H NMR (Supplementary Figure 4). (400 MHz DMSO-d6): 12.46 (br,1H COOH), 7.96 (d, J = 8 Hz,1H, C(O)NHCH), 7.32 (s, 1H, C(O)NH2), 6.87 (s, 1H, C(O)NH2), 4.47-4.51 (m, 1H,NHCH), 2.52 (dd, J = 5.7, 15.5 Hz, 1H, CH2C(O)NH2), 2.41 (dd, J = 7.2, 15.5 Hz, 1H,CH2C(O)NH2), 2.07 (t, J = 7.3 Hz, 2H, C(O)CH2CH2),1.48-1.42 (m, 2H, C(O)CH2CH2), 1.28-1.19 (m, 20H, myristoyl-CH2), 0.85 (t, J = 6.8 Hz, 3H, CH2CH3). ESI-MS: m/z [M–H]?calculated for C18H33N2O4? 341.24 (isotopic), observed 341.39 (Supplementary Figure 5).
N-myristoyl-D-Asn growth inhibition assay
Overnight cultures of S. aureus were normalized to OD600nm of 0.4 and diluted 100-fold. Thereafter, 8 μL of the diluted cultures were inoculated into 96-well plates containing 200 μL of TSB media supplemented with NMDA at 100 μM, 300 μM and 600 μM. For the vehicle control, DMSO was supplemented to 1% (v/v). The plates were incubated at 37 °C in a Tecan Infinite© M200 Pro spectrophotometer. Absorbance readings at 600 nm were taken every 15 min for 12 hours.
Cell permeability assay
Cell permeability was determined using propidium iodide (PI) staining and flow cytometry. S. aureus USA300 LAC overnight cultures were sub-cultured into fresh TSB media and allowed to grow to mid-log phase at OD600nm of 0.6. Subsequently, the cultures were treated with DMSO (1%), 100 μM palmitoleic acid and 600 μM NMDA and incubated at 37 °C for 15 min. After the treatment, the cells were washed twice with PBS and stained with PI Buffer (Abcam) for 30 min at room temperature. Flow cytometry was performed with flow cytometer Fortessa X to identify the population of S. aureus stained positive for PI after treatment with compounds. Data analysis was performed using FlowJo, version 10.
RNA extraction and real time quantitative PCR (RT-qPCR)
Macrocolonies were grown as described above. RNA from macrocolonies was extracted using the RNeasy® Mini Kit (Qiagen, United States) according to the manufacturer’s protocol. Genomic DNA was removed by DNase treatment (TURBO DNA-free Kit, Ambion). RNA and DNA were quantified using Qubit™ RNA Assay Kit and Qubit™ dsDNA HS Assay kits (Invitrogen, United States). RNA quality was analyzed using Agilent RNA ScreenTape (Agilent Technologies, United States). RNA samples with minimum RIN value of 7.5 and DNA contamination of not more than 10% were converted to cDNA using SuperScript™ III First-strand Synthesis Supermix (Invitrogen, United States) with accordance to the manufacturer’s protocol. RT-qPCR reaction mix was prepared using KAPA SYBR® FAST qPCR Kit Master Mix (2X) Universal (Kapa biosystem, United States) and ran on a StepOnePlus™ Real-Time PCR System (Applied Biosystems, USA). Primers GyrA_F/GyrA_R were used to amplify gyrA (Housekeeping gene), primers ClbA_F/ClbA_R were used to amplify clbA, primers ClbB_F/ClbB_R were used to amplify clbB. Primers are found in Table S4.
Mouse model of polymicrobial wound infection
Bacteria was grown as described above, normalized to 106CFU/10 µl, and used to infect wounds of C57BL/6 mice (Male, 7-8 weeks old; InVivos, Singapore) as previously described (Chong, Tay et al. 2017). Briefly, the animals were anesthetized with 3% isoflurane. Dorsal hair was shaven and fine hair was removed after the application of Nair™ cream (Church and Dwight Co, Charles Ewing Boulevard, USA) and shaved using a scalpel blade. The skin was disinfected with 70 % ethanol and a full-thickness wound was created with a 6 mm biopsy punch (Integra Miltex, New York, USA). The wounds were inoculated with 10 μL of the respective inoculum (E. coli, 1-2 × 106 CFU; S. aureus 1-2 × 106 CFU; Mixed 1-2 × 106 CFU each). Thereafter, the wound site was sealed with a transparent dressing (Tegaderm™ 3M, St Paul Minnesota, USA). At the indicated timepoints, mice were euthanized, and the wounds were excised and homogenized in 1 mL PBS. Viable bacteria in the wound homogenates were enumerated by plating onto selective media for E. coli (McConkey; Merck Singapore) and S. aureus (MRSASelect™ II Agar; Biorad USA). All animal experiments were performed with approval from the Institutional Animal Care and Use Committee (IACUC) in Nanyang Technological University, School of Biological Sciences under protocol ARF-SBS/NIE-A19061.
Acknowledgements
This work was supported by the National Research Foundation and Ministry of Education Singapore under its Research Centre of Excellence Programme, by the Ministry of Education Singapore under its tier 2 program (MOE2014-T2-2-124), and by NIH NIAID R21 AI126023-01. We thank Daniela Moses and colleagues for performing library preparation, whole genome sequencing and RNA-Seq; Swaine Chen for providing plasmid pKM208, pSLC-217 and pTrc99a. We thank the NTU Protein Production Platform (www.proteins.sg) for the cloning, expression test, and purification of ClbS protein.