The perception and response to cellular death is an important aspect of multicellular eukaryotic life. For example, damage-associated molecular patterns activate an inflammatory cascade that leads to removal of cellular debris and promotion of healing. We demonstrate that lysis of Pseudomonas aeruginosa cells triggers a program in the remaining population that confers fitness in interspecies co-culture. We find that this program, termed P. aeruginosa response to antagonism (PARA), involves rapid deployment of antibacterial factors and is mediated by the Gac/Rsm global regulatory pathway. Type VI secretion, and, unexpectedly, conjugative type IV secretion within competing bacteria, induce P. aeruginosa lysis and activate PARA, thus providing a mechanism for the enhanced capacity of P. aeruginosa to target bacteria that elaborate these factors. Our finding that bacteria sense damaged kin and respond via a widely distributed pathway to mount a complex response raises the possibility that danger sensing is an evolutionarily conserved process.https://doi.org/10.7554/eLife.05701.001
Bacteria live in diverse and changing environments where resources such as nutrients and space are often limited. They have thus evolved many survival strategies, including competitive and cooperative behaviors. In the first case, bacteria antagonize or prevent the growth of other microorganisms competing with them for resources, such as by generating antibiotics that specifically target rivals. During cooperation, bacteria may coordinate the production of compounds that have a shared benefit for members of their community.
In multicellular organisms, some cell types sense harmful microorganisms by the injury they cause in neighboring cells. This triggers a process that can lead to the production of molecules that kill the invaders and factors that promote the repair of cellular damage. An equivalent process has so far not been described for single-celled organisms such as bacteria. However, bacteria often live in structured groups containing many different species. In this type of growth environment, the ability of bacteria to sense when others of their species are attacked and to respond by taking measures to defend themselves could improve their chances of survival.
Now, LeRoux et al. reveal that the bacterium Pseudomonas aeruginosa is able to detect ‘danger signals’ released when neighboring P. aeruginosa cells are killed by other bacteria. These signals trigger a response in surviving cells by turning on a pathway that controls a number of antibacterial factors. These include the production of the so-called ‘type VI secretion system’, a molecular machine that delivers a potent cocktail of antibacterial toxins directly into nearby bacteria.
This process, which LeRoux et al. have named ‘P. aeruginosa response to antagonism’, or PARA for short, enables P. aeruginosa to thrive when grown with competing bacterial species. P. aeruginosa is notorious for infecting the lungs of people with the genetic disease cystic fibrosis, as well as chronic wounds often found in people with diabetes. In both cases, when P. aeruginosa is present, the numbers of other, often less harmful organisms, tend to decrease. PARA may be one reason for the success of P. aeruginosa in these multi-species infections.https://doi.org/10.7554/eLife.05701.002
Bacteria can occupy highly dynamic environments, where survival is linked to the ability to sense and respond to an assortment of threats (Cornforth and Foster, 2013). It is increasingly clear that in addition to well-understood environmental and nutritive stresses, antagonistic factors elaborated by other bacteria are a common threat that bacteria must cope with (Little et al., 2008; Hibbing et al., 2010). A number of antagonistic strategies have been identified, including the production of diffusible factors such as small molecule antibiotics. It has been suggested that sub-inhibitory concentrations of these molecules induce specific changes in bacteria, including the production and distribution of resistance mechanisms (Hoffman et al., 2005; Linares et al., 2006; Andersson and Hughes, 2014). Other antagonistic pathways, such as contact-dependent inhibition (CDI) and the type VI secretion system (T6SS), require cell contact (Hayes et al., 2010; Konovalova and Sogaard-Andersen, 2011). Kin cells are protected from the toxic proteins delivered by these pathways by specific cognate immunity proteins; however, escape from or defense against these pathways by non-kin is not well understood (Hood et al., 2010; Russell et al., 2011).
The T6SS is a versatile export machinery that can deliver a wide range of proteinaceous effector molecules from donor to recipient Gram-negative bacterial cells (Hood et al., 2010; Coulthurst, 2013; Russell et al., 2014a). One of the best characterized bacterial targeting T6SSs is the Hcp Secretion Island I-encoded T6SS (H1-T6SS) of Pseudomonas aeruginosa (Hood et al., 2010). The H1-T6SS transports a cargo of at least seven effectors, termed type VI secretion exported 1–7 (Tse1–7) (Hachani et al., 2014; Whitney et al., 2014). The outcome of intoxication by these proteins can be lysis or cessation of growth (LeRoux et al., 2012; Li et al., 2012). Like other species with interbacterial T6SSs, P. aeruginosa has the capacity to target cells of its own genotype with the H1 pathway. To inhibit self-intoxication, cognate type VI secretion immunity proteins (Tsi) are produced and localized to the cellular compartment that contains the target of the corresponding effector (Russell et al., 2013; Benz and Meinhart, 2014; Durand et al., 2014; Russell et al., 2014a). T6SSs are found in at least three genetically distinct configurations present among multiple bacterial phyla, making it one of the most widespread pathways mediating interbacterial antagonism known (Russell et al., 2014b).
Expression and activity of the H1-T6SS is tightly regulated at multiple levels (Silverman et al., 2012). Stringent post-transcriptional regulation of the H1-T6SS is achieved through the global activation of antibiotic and cyanide synthesis/regulator of secondary metabolism (Gac/Rsm) pathway (Goodman et al., 2004; Mougous et al., 2006b). This global regulatory system impacts protein production via RsmA, a CsrA-type protein that binds to target mRNA molecules and generally acts to repress their translation (Lapouge et al., 2008). RsmA is modulated by levels of the small RNA (sRNA) molecules rsmY and rsmZ, which bind to and sequester it from its targets. Transcription of the sRNAs is promoted by phosphorylated GacA, the cognate response regulator of the sensor kinase GacS. Finally, two hybrid sensor kinases, RetS and LadS, acting through GacS, repress or stimulate GacA phosphorylation, respectively (Ventre et al., 2006; Goodman et al., 2009). Consistent with regulation of T6S by the Gac/Rsm pathway, many of its targets in P. aeruginosa and related γ-proteobacteria are involved in the production of social or antagonist factors (Lapouge et al., 2008). This theme of Gac/Rsm-dependent modulation of antibiotic activity is exemplified by the defect of P. fluorescens gac mutants in bacterial and fungal growth inhibition on plants (Laville et al., 1992). Though the precise cues that activate the Gac/Rsm pathway are unknown, Haas et al. have found that one or more signals accumulate in spent bacterial culture supernatants deriving from both self and non-self organisms (Dubuis and Haas, 2007).
Posttranslational regulation by the threonine phosphorylation pathway (TPP) constitutes a second level of control over H1-T6SS activity. In this pathway, phosphorylation of a fork head-associated domain-containing protein, Fha1, triggers apparatus assembly and effector secretion (Mougous et al., 2007). PppA, a phosphatase, opposes the activity of PpkA on Fha1, returning the system to the inactive state. Additional components of the TPP, encoded by type VI secretion associated genes Q-T (tagQ-T), act upstream of these proteins and are thought to be involved in signal transduction (Hsu et al., 2009; Casabona et al., 2013). Two signals of the TPP have been proposed: surface-associated growth and membrane perturbation (Silverman et al., 2011; Basler et al., 2013). The latter signal is thought to underlie the observation that organisms with active T6S or type IV secretion (T4S) are more efficiently targeted by the H1-T6SS than those without (Ho et al., 2013). It was proposed that the activity of these apparatuses induces local membrane perturbations in P. aeruginosa that are sensed by the TPP, leading to posttranslational activation of the H1-T6SS and enhanced recipient cell death (Basler et al., 2013). A caveat of these studies is that the P. aeruginosa strain used bears an inactivating mutation in retS, which constitutively activates the Gac/Rsm pathway, potentially masking the contribution of this major regulatory mechanism to the defense mounted by P. aeruginosa against the antagonistic pathways of competing bacteria.
Here, we show that lysed kin cells act as a danger signal that is sensed by the Gac/Rsm pathway of wild-type P. aeruginosa. Our experiments provide a mechanism for T6S-dependent killing of competitor bacteria possessing either the T6 or T4 secretion pathways, as both induce P. aeruginosa lysis, stimulate the Gac/Rsm pathway, and lead to posttranscriptional de-repression of the H1-T6SS. These findings provide a rationale for the regulation of promiscuous antibiotic mechanisms by a pathway that can respond to self-derived signals.
Prior work suggests that efficient T6S-dependent effector delivery between P. aeruginosa cells (self-targeting) requires deletion of retS, whereas this activating mutation is not required for robust T6S-dependent intoxication of other bacteria by P. aeruginosa (non-self targeting) (Hood et al., 2010; Russell et al., 2011; Ho et al., 2013). To quantify these observations, we performed bacterial growth competition experiments with wild-type (PAO1) and ∆retS with both self- and non-self recipients under comparable conditions. Burkholderia thailandensis (B. thai) was used as the non-self competitor for these studies, while a P. aeruginosa background lacking four H1-T6SS effector–immunity pairs (∆tse1-4 ∆tsi1-4) was employed as the self recipient. T6S-dependent fitness was determined by comparing the competitive index of a wild-type donor to that of a donor strain lacking tssM, which encodes a core structural component of the T6S apparatus (Felisberto-Rodrigues et al., 2011). We found that both P. aeruginosa wild-type and ∆retS strains reduced populations of B. thai in a T6S-dependent manner by several orders of magnitude; however, only P. aeruginosa ∆retS displayed T6S-dependent fitness in co-culture with self recipients (Figure 1). This direct comparison of H1-T6SS-dependent antibiosis by P. aeruginosa wild-type and ∆retS demonstrates that unlike self-intoxication, non-self targeting by the pathway does not require activation of the system by relief of negative regulation. A parsimonious explanation for these data is that the presence of a non-self competitor stimulates H1-T6SS activity.
To test the hypothesis that H1-T6SS activity is affected by the presence of a non-self organism, we used time-lapse fluorescence microscopy (TLFM) in conjunction with customized cell and protein tracking software to monitor the expression and subcellular localization of the conserved T6S ATPase ClpV1 (Cascales and Cambillau, 2012; LeRoux et al., 2012). Previous studies have established that translational fusion of gfp to the 3′ end of P. aeruginosa clpV1, encoded within the H1-T6SS gene cluster, yields a stable and functional chimera (Mougous et al., 2006a). The fluorescence intensity of ClpV1–GFP provides readout of H1-T6SS expression and the assembly of ClpV1–GFP into punctate foci correlates with activity of the system (Mougous et al., 2007; Kapitein et al., 2013). Surprisingly, we observed significantly elevated ClpV1–GFP levels in P. aeruginosa–B. thai co-cultures relative to P. aeruginosa monocultures, suggesting that B. thai stimulates H1-T6SS expression (Figure 2A,B, Figure 2—figure supplement 1, Video 1). We obtained similar results from a strain bearing a chromosomal, functional translational fusion of gfp to fha1 (fha1-gfp), a locus found on the second major H1-T6SS transcript (Figure 2A,C, Figure 2—figure supplement 1, Video 2) (Mougous et al., 2006a, 2007). To determine whether elevated H1-T6SS arises from increased expression throughout the population or from high expression within a subset of P. aeruginosa, we examined ClpV1-GFP at the level of individual cells. Consistent with a population-wide, graded response, we found that ClpV1-GFP exhibits a normal distribution both in monoculture and when P. aeruginosa is co-cultivated with B. thai (Figure 2—figure supplement 2). Mirroring the observed trends in expression, after an initial increase in foci frequency—a correlate of T6S activity—associated with growth on a surface (Silverman et al., 2011), a larger percentage of P. aeruginosa cells grown in the presence of B. thai contained ClpV1–GFP and Fha1–GFP foci compared to those grown in monoculture (Figure 2D,E). To investigate the generality of these effects on the H1-T6SS, we repeated our experiments using the γ-proteobacterium Enterobacter cloacae as the competing organism. P. aeruginosa co-cultivated with E. cloacae also displayed increased ClpV1–GFP levels and higher foci frequency in comparison to P. aeruginosa in monoculture, indicating that this response is not specific to B. thai (Figure 2—figure supplement 3; Video 3).
Previous studies demonstrated that the H1-T6SS of P. aeruginosa targets recipient cells that possess an active T6SS with greater efficiency than those that do not (LeRoux et al., 2012; Basler et al., 2013). Though this behavior was shown for P. aeruginosa ∆retS, and not wild-type cells, the apparent capacity of the organism to sense the T6SS of a recipient cell prompted us to test whether T6S in non-self competitors is involved in stimulation of the H1 pathway. Indeed, we found that B. thai and E. cloacae strains bearing in-frame deletions of the tssM genes associated with their known antibacterial T6S pathways, are unable to stimulate T6S in P. aeruginosa (Figure 2, Figure 2—figure supplement 1, Figure 2—figure supplement 3, Videos 1–3) (Schwarz et al., 2010; Koskiniemi et al., 2013; Whitney et al., 2014). Changes in P. aeruginosa growth rate dependent upon recipient T6S could influence gene expression and protein accumulation, potentially accounting for altered expression and activity of H1-T6SS proteins. However, this possibility was excluded by our observation that the doubling time of P. aeruginosa is insensitive to the activity of the bacterial cell-targeting T6SS of B. thai (T6SBT) (Figure 2—figure supplement 4). Taken together, these data demonstrate that co-cultivation of P. aeruginosa with a non-self organism possessing an active T6S apparatus leads to elevated expression and activity of the H1-T6SS. Henceforth, we refer to this response of P. aeruginosa as PARA (P. aeruginosa response to antagonism).
A recent report implicated the TPP in the capacity of P. aeruginosa to sense and respond to T6S in target cells (Basler et al., 2013). To determine if PARA requires the TPP, we monitored the T6S-dependent response of P. aeruginosa bearing a deletion in pppA, which encodes a TPP-associated phosphatase (Mougous et al., 2007). Interestingly, though this deletion was previously shown to abrogate the ability of P. aeruginosa ∆retS to respond differentially to bacteria containing or lacking a functional T6SS, we found that in the wild-type background, ∆pppA retains the capacity to respond to T6SBT (Figure 3A, Figure 3—figure supplement 1A). PppA is a negative regulator of the TPP; therefore, we sought to rule out the possibility that the remaining TPP components, TagQ-T and PpkA, are sufficient to mediate PARA. Inactivation of all known components of the TPP results in a failure to assemble an active T6S apparatus, which would confound our analyses. However, activity can be restored to TPP deficient strains by the deletion of a gene encoding an independent post-translational repressor of the H1-T6SS, TagF (Silverman et al., 2011). As observed with ∆pppA, the H1-T6SS of a P. aeruginosa strain lacking tagF and all known TPP components (∆TPP ∆tagF) was activated by B. thai in a T6SBT-dependent manner (Figure 3B, Figure 3—figure supplement 1B). Consistent with measurements of expression and activation, growth competition experiments revealed that wild-type, ∆pppA, and ∆tagF ∆TPP strains of P. aeruginosa intoxicate B. thai and E. cloacae with active interbacterial T6SSs more efficiently than those without (Figure 3C, Figure 3—figure supplement 2). These data indicate that the TPP is not required for PARA.
It is worth noting that several lines of evidence suggest PARA is a process distinct from the previously characterized intercellular T6-based response referred to as ‘T6SS dueling’ (Basler and Mekalanos, 2012). First, PARA is accompanied by changes to T6S gene expression, whereas dueling is a posttranslational behavior thought to involve rapid changes in protein localization. Second, the TPP was found to be essential for T6SS dueling (Basler et al., 2013); however, this pathway is dispensable for PARA. Finally, spatiotemporal coordination of ClpV1-GFP-containing foci forms the basis for T6SS dueling, while such paired focus events are not correlated with PARA (data not shown). Motivated by the finding of PARA as a distinct pathway of clear functional relevance to interbacterial interactions, we proceeded to investigate its mechanistic underpinnings.
The H1-T6SS is regulated at the transcriptional level by the quorum sensing regulator LasR, and at the posttranscriptional level by RsmA and RsmF, RNA binding proteins that directly mediate the effects of Gac/Rsm signaling (Figure 4A) (Brencic and Lory, 2009; Lesic et al., 2009; Marden et al., 2013). As a first step toward defining the pathway through which PARA operates, we measured H1-T6SS transcription and translation in response to co-culture with B. thai using previously characterized chromosomal β-galactosidase reporters (Brencic and Lory, 2009). In contrast to minor effects on transcription, we found that co-culture of P. aeruginosa with B. thai markedly stimulates H1-T6SS translation (Figure 4B). In control experiments with B. thai ∆tssM-1 as the competitor, we observed no enhancement of H1-T6SS expression. Based on these data, we hypothesized that PARA is driven by the Gac/Rsm pathway.
If the Gac/Rsm pathway was involved in PARA-mediated H1-T6SS activation, we would expect transcription of its associated sRNA molecules to be elevated in cells co-cultivated with B. thai (Figure 4A). Indeed, using a chromosomal fluorescent reporter of rsmZ transcription, we found B. thai stimulates expression of this sRNA on a time scale consistent with other effects associated with PARA (Figure 4C,D, Figure 4—figure supplement 1, Video 4). Cells exposed to B. thai ∆tssM-1 did not exhibit changes in rsmZ expression. To further explore the link between Gac/Rsm and PARA, we measured the expression of a validated direct target of RsmA that is unrelated to the H1-T6SS, magA (Brencic and Lory, 2009; Robert-Genthon et al., 2013). As observed for H1-T6SS reporters, a translational chromosomal fusion of the magA promoter to gfp (p-magA-gfp) displayed increased expression in response specifically to co-cultivation with B. thai bearing an active interbacterial T6SS (Figure 4E). Taken together with our β-galactosidase reporter results, these data show that PARA is a Gac/Rsm-mediated posttranscriptional response of P. aeruginosa to T6S in other bacteria.
Next we examined upstream components of the Gac/Rsm pathway that might mediate PARA. In P. aeruginosa, the output of the Gac/Rsm pathway is modulated by three sensor kinases (Figure 4A) (Jimenez et al., 2012). We began by investigating GacS, which directly phosphorylates GacA, the response regulator that activates rsmY and rsmZ expression (Figure 4A). Consistent with our hypothesis that PARA requires Gac/Rsm mediated signaling, we found that a strain bearing an in-frame deletion of gacS fails to elevate H1-T6SS expression in response to T6SBT (Figure 4F). The remaining Gac/Rsm-associated sensor kinases, RetS and LadS, play accessory roles in the Gac/Rsm pathway by positively or negatively regulating GacS phosphorylation of GacA, respectively (Figure 4A). Our experiments showed that strains lacking ladS respond to T6SBT similarly to the wild-type (Figure 4G, Figure 4—figure supplement 2A); however, we found that PARA is abrogated in strains lacking retS (Figure 4H, Figure 4—figure supplement 2B). This finding suggests that the relief of RetS repression of GacS-catalyzed phosphorylation of GacA is important in PARA induction. This might occur through direct binding of RetS to a signal produced by the presence of the competitor organism, or, alternatively, RetS could transduce a signal from an upstream sensor. To investigate these possibilities, we generated a P. aeruginosa strain bearing a chromosomally-encoded RetS variant containing an amino acid substitution of a highly conserved residue in the predicted periplasmic signal binding pocket (W90A) (Jing et al., 2010; Vincent et al., 2010). Consistent with RetS acting as the direct sensor for PARA, in the retSW90A background, neither ClpV1 expression levels nor activity were affected by co-cultivation with B. thai (Figure 4I, Figure 4—figure supplement 2C). A general disruption of RetS function cannot be excluded; however, the finding that H1-T6SS expression levels in retSW90A do not approach those detected in a ∆retS mutant demonstrates that this allele retains partial function. Altogether, our findings suggest that RetS functions upstream in the Gac/Rsm pathway to mediate PARA.
Gac/Rsm is a pathway generally noted as a regulator of antibiosis; its stimulation in pseudomonads can increase the expression of a variety of antibiotic factors in addition to T6S, including hydrogen cyanide, secreted hydrolytic enzymes, and phenazines (Lapouge et al., 2008). We reasoned that the fitness of cells undergoing PARA is derived not only from an increase in expression and activity of the H1-T6SS, but also from increased levels of these co-regulated factors. To test this, we used growth competition assays and TLFM co-cultures to compare the fitness of ∆gacS to a strain lacking only the function of the H1-T6S pathway (∆tssM1). Consistent with our hypothesis, the fitness of ∆gacS was reduced beyond that of ∆tssM1 only when in competition with either B. thai (34-fold reduction) or E. cloacae (15-fold reduction) bearing an active interbacterial T6S pathway (Figure 5A,B). TLFM experiments further indicated a substantial increase in lysis of P. aeruginosa ∆gacS relative to wild-type or ∆tssM1 (Figure 5C, Video 5). These phenotypes are not due to a general growth defect, as neither P. aeruginosa ∆gacS nor ∆tssM1 exhibit a competitive defect when grown in co-culture with the parental strain (Figure 5D). In total, these data indicate that PARA is a complex bacterial defense mechanism comprising the H1-T6SS and other Gac/Rsm-regulated factors of P. aeruginosa.
T6S-dependent interactions require direct cell–cell contact; therefore, we asked whether PARA is also contact-dependent. To examine this, we computationally sorted P. aeruginosa into populations contacting or not contacting B. thai during the course of TLFM experiments (Figure 6A). Surprisingly, we found no significant difference in ClpV1-GFP levels between these populations of cells (Figure 6B), suggesting that either PARA does not require immediate cell contact between P. aeruginosa and a competitor, or P. aeruginosa–competitor contacts can be sensed by non-contacting cells. To differentiate between these possibilities, we employed a population-level approach in which we measured PARA-associated phenotypes in P. aeruginosa cells following cultivation on an agar plate (Figure 6C). Consistent with our microscopy experiments, PARA was detected in P. aeruginosa cultivated in the presence of B. thai, but not in monoculture or with B. thai ∆tssM-1 (Figure 6D,E; Condition 1). We next measured PARA in P. aeruginosa cells separated by a membrane from either a B. thai monoculture or a P. aeruginosa–B. thai co-culture. Strikingly, PARA was detected when P. aeruginosa was adjacent to contacting P. aeruginosa–B. thai mixtures, but not when adjacent to B. thai alone (Figure 6D,E; Conditions 2 and 3). Combined with our microscopy results, these data strongly suggest that during co-culture with P. aeruginosa, the activity of T6SBT, or T6SBT itself, generates a diffusible molecule that triggers PARA in surrounding cells.
One outcome of T6S-dependent interactions is cell lysis. Thus, we posited that lysed P. aeruginosa—a consequence of T6SBT activity—could be the source of the diffusible factor mediating PARA. In agreement with this hypothesis, when P. aeruginosa is cultivated with B. thai, but not B. thai ∆tssM-1, there is a significant increase in the number of P. aeruginosa cells that undergo lysis (Figure 7A). Furthermore, concurrent temporal analysis of H1-T6SS expression and cell lysis in TLFM sequences indicated that P. aeruginosa lysis precedes elevation of ClpV1-GFP expression and the initiation of B. thai cell death (Figure 7B, Video 6). To determine if lysed P. aeruginosa cells are sufficient to induce PARA, we incubated reporter strains with lysate derived from wild-type P. aeruginosa. Lysate derived from P. aeruginosa, but not from B. thai, stimulated the Gac/Rsm pathway and recapitulated downstream PARA-associated phenotypes (Figure 7C,D).
Due to its complex nature, lysate has the potential to lead to non-specific changes in cellular physiology that could confound interpretation of a small set of individual reporters. To gain a more comprehensive view of the effects of self-derived lysate on P. aeruginosa physiology, we used quantitative mass spectrometry to measure changes in protein abundance at the proteome level. To our knowledge, the global impact of Gac/Rsm activation on the P. aeruginosa proteome has not been reported. In lieu of this, we utilized a microarray study published by Lory and colleagues (∆retS vs wild-type) in order to generate a list of proteins under Gac/Rsm control. Given the short time scale of our experiment and the relatively slow rate by which many proteins are recycled, we focused on factors positively regulated by Gac/Rsm. Remarkably, despite constituting only 4.5% of the proteins detected in our proteome, known Gac/Rsm targets accounted for 49% of proteins induced greater than twofold by the addition of lysate (Figure 7E). We performed a gene set enrichment analysis and found that both Gac/Rsm regulated proteins and H1-T6SS proteins are significantly enriched in cells treated with lysate (Gac/Rsm: NES, 2.1, FDR ≤ 0.2%, p > 0.01; H1-T6SS: NES, 1.6, FDR ≤ 5.1%, p < 0.01) (Mootha et al., 2003; Subramanian et al., 2005). The remaining 51% of induced proteins could include novel Gac/Rsm targets and lysate-responsive factors outside of the Gac/Rsm regulon. Together, these data show that self-derived lysate activates the Gac/Rsm pathway and is sufficient to induce PARA.
A predicted consequence of PARA is a diminished capacity of P. aeruginosa to kill competitor organisms that lack an active lytic pathway. Our finding that lysate is sufficient to induce PARA provided an opportunity to test this directly. Specifically, we asked whether artificial induction of PARA by lysate could stimulate P. aeruginosa killing of B. thai lacking an active interbacterial T6SS. To this end, we measured the effect of lysate-induced PARA on P. aeruginosa fitness in growth competition experiments with B. thai ∆tssM-1. In agreement with our prediction, the fitness of P. aeruginosa increased approximately 2.5-fold in the presence of lysate (Figure 7F, Figure 7—source data 1). In summary, our data suggest that P. aeruginosa cells that undergo lysis as a result of interspecies antagonism serve as a signal for Gac/Rsm-mediated stimulation of antibiosis in the remainder of the population.
Ho et al. recently demonstrated that E. coli cells possessing an active IncP-type conjugative type IV secretion (T4S) apparatus are targeted more efficiently by the H1-T6SS of wild-type P. aeruginosa than E. coli lacking this system (Ho et al., 2013). The authors of this study proposed that—like T6SS dueling—this effect is a result of enhanced T6S activity against E. coli deriving from local membrane perturbations made by the incoming conjugative apparatus. We hypothesized that the effect observed could also be a result of PARA. To test this, we performed interbacterial growth competition experiments between P. aeruginosa and E. coli, E. coli containing the IncP-type RP4 conjugative plasmid used by Ho et al., or E. coli bearing a mutant form of this plasmid lacking a functional T4S apparatus (∆traG) (Waters et al., 1992; Pansegrau et al., 1994). Similar to earlier findings, we found that the H1-T6SS of P. aeruginosa reduces populations of T4S+ E. coli to a greater extent than T4S−E. coli (Figure 8A, Figure 8—figure supplement 1). However, contrary to observations made by Ho et al. using the P. aeruginosa ∆retS background, we found that removal of the TPP did not abrogate the ability of P. aeruginosa to differentially target T4S+ and T4S− E. coli with the H1-T6SS (Figure 8A).
Having ruled out a requirement for the TPP in T4S sensing by wild-type P. aeruginosa, we next measured PARA-associated phenotypes in P. aeruginosa–E. coli co-cultures. These experiments showed that P. aeruginosa cultivated with T4S+ E. coli exhibits increased rsmZ expression and elevated ClpV1–GFP levels in a manner dependent upon retS (Figure 8B–D, Figure 8—figure supplement 2). Moreover, these phenomena were observed at a time point similar to T6SBT-induced PARA.
Our data suggest that the mechanism underlying PARA is lysis of P. aeruginosa cells by a competitor; however, to our knowledge, T4S has not been noted to cause lysis of recipient cells. To determine whether E. coli lyse P. aeruginosa in a T4S-dependent manner, we quantified extracellular β-galactosidase activity from co-cultures of T4S+ and T4S− E. coli with P. aeruginosa attB::lacZ. Consistent with PARA induction by E. coli involving cell lysis, we observed a strong enhancement of P. aeruginosa lysis by T4S+ E. coli (Figure 8E). Together, these data demonstrate that the T4SS encoded on the RP4 plasmid induces lysis within a subset of P. aeruginosa cells, which in turn induces PARA, leading to H1-T6SS-dependent E. coli cell death.
We have shown that self-derived signal(s) generated as a consequence of cell lysis activate the Gac/Rsm pathway of P. aeruginosa, and thus stimulate the production of antibiotic factors under its control. In growth competition experiments, the capacity to mount this multifaceted response grants P. aeruginosa a significant fitness benefit. Our results suggest that similar to multicellular organisms, injury to a bacterial colony can trigger the release of danger signals that lead to a coordinated response against the threat (Matzinger, 1994; Kaczmarek et al., 2013). In this study, we focused on offensive factors under control of the Gac/Rsm pathway; however, defensive factors are also likely to be elaborated. For example, a consequence of Gac/Rsm activation in P. aeruginosa is the production of c-di-GMP, which activates exopolysaccharide production of P. aeruginosa (Lee et al., 2007; Irie et al., 2012). This increases cellular adhesiveness, which facilitates multicellular aggregates that are more resistant than planktonic cells to an assortment of antibacterial molecules and environmental stresses (Colvin et al., 2011; Billings et al., 2013). In the context of an infection such as the chronic lung infections that occur in cystic fibrosis patients, host-induced cellular lysis could activate Gac/Rsm and inadvertently convert cells to a state that is more resistant to killing by antibiotics and the immune system.
If PARA was the sole mechanism contributing to enhanced T6S-dependent killing of bacteria with T6 or T4 systems, it would follow that P. aeruginosa cells lacking the sensor kinase RetS should target bacteria irrespective of these pathways. However, previous studies have shown that P. aeruginosa ∆retS retains some ability to differentially target T6S- and T4S-positive vs -negative cells (LeRoux et al., 2012; Basler et al., 2013). Thus, the response of P. aeruginosa to antagonism is comprised of a global response mediated by the Gac/Rsm pathway and a secondary T6S-specific element that is not fully understood. We speculate that this ability of a ∆retS strain is related to coordinated spatiotemporal localization of the apparatus among adjacent cells, and that these two mechanisms operate in concert to hone the offensive response of P. aeruginosa. PARA may constitute an initial adaptation in which cells perceive a threat in their proximity and increase expression of the H1-T6SS, followed by the orientation of effector translocation specifically toward aggressor cells.
We find that RP4-containing E. coli cells induce lysis in P. aeruginosa, trigger PARA, and in turn are subject to increased antagonism by the H1-T6SS. This mechanism differs from the model put forth by the Mekalanos laboratory, which suggested that the TPP is required for the response of wild-type P. aeruginosa to an incoming conjugative apparatus (Ho et al., 2013). A key finding in the prior study was that polymyxin B, an outer membrane-disrupting antibiotic, induces clpV1 foci formation in wild-type P. aeruginosa, but not in a strain lacking tagT. This finding, among other data involving strains in the ∆retS background of P. aeruginosa, led the authors to propose that membrane perturbations caused by an incoming T4 apparatus are sensed by the TPP. A tagT deletion strain intrinsically lacks H1-T6SS activity; therefore, interpreting its inability to respond to the antibiotic as evidence of TPP involvement is problematic (Basler et al., 2013; Casabona et al., 2013; Ho et al., 2013). We found that H1-T6SS-active strains that lack the TPP (∆TPP ∆tagF) display a generalized targeting defect, but retain the ability to discriminate T4S+ and T4S− E. coli. An alternative explanation for the findings of Ho et al. is that the application of polymyxin B promotes cell lysis, leading to PARA induction (Barrow and Kwon, 2009; Ho et al., 2013). Attempts to test the validity of this explanation were confounded by pervasive cell death at the antibiotic concentration reported by the authors (20 μg/ml, ∼40-fold the minimum inhibitory concentration against P. aeruginosa PAO1) (Barrow and Kwon, 2009).
The adaptive significance of RP4-induced lysis and its mechanistic basis remain to be resolved. This process could be an altruistic behavior of P. aeruginosa that both aborts the T4S-dependent transfer event and alerts surrounding kin, thus decreasing the probability of foreign DNA acquisition by the colony. However, a second possibility is that plasmids such as RP4 carry interbacterial antagonistic factors that provide fitness to their hosts under certain conditions. It is interesting to note that Ho et al. identified an RP4 transposon mutant that was not targeted by P. aeruginosa but retained a functional T4SS (Ho et al., 2013). This insertion resides in trbN, a gene encoding a periplasmic transglycosylase. It is plausible given the requirement for both T4 structural genes and this peptidoglycan-degrading accessory factor, that the T4S apparatus facilitates the transfer of this protein to recipient cells, where it induces lysis. Alternatively, upon plasmid transfer, the product of trbN may stochastically trigger lysis in a small portion of recipient cells.
Efforts to characterize Gac/Rsm-stimulating signal(s) have been performed primarily in P. fluorescens (Lapouge et al., 2008). This organism is a close relative of P. aeruginosa, and the Gac/Rsm pathways of the two species share a number of characteristics including regulation of hydrogen cyanide production and an H1-T6SS-like pathway. Haas et al. have made a number of intriguing observations pertaining to the production and sensing of Gac/Rsm-stimulating signals in P. fluorescens that are consistent with our findings in P. aeruginosa. Most notably, they found that conditioned media extracts derived from dense cultures of P. fluorescens, and, to a lesser extent, P. aeruginosa and Vibrio cholerae, are sufficient to activate the Gac/Rsm pathway (Dubuis and Haas, 2007). In agreement with our results, this indicates that the signal can be self-produced; however, it also raises the intriguing possibility that the lysis of non-self bacteria may activate PARA. While we found that B. thai-derived lysate was not sufficient to stimulate PARA, it is possible that other organisms produce the signal. This could lead to a positive feedback loop by which killed competitor cells further stimulate P. aeruginosa to produce antibacterial factors.
Despite decades of research, the chemical structure of the molecule(s) that stimulate the Gac/Rsm pathway of P. aeruginosa, presumably via interaction with the periplasmic ligand binding domains of its associated sensor kinases, remain unknown. Our own efforts to identify the signaling molecule(s) contained within P. aeruginosa lysate, which included assorted enzymatic treatments, have so far been unsuccessful. Structural studies of RetS revealed its periplasmic region bears a fold resembling known carbohydrate interaction domains. A similar domain is predicted in the ecto domain of LadS (Vincent et al., 2010). Given that RetS is required for PARA transduction, it is tempting to speculate that cell-associated carbohydrate(s) are released upon lysis and serve as a signal that activates Gac/Rsm in P. aeruginosa (Jing et al., 2010). The additional observation that extracts derived from multiple bacterial species can stimulate Gac/Rsm in P. fluorescens suggests two non-mutually exclusive hypotheses: that the molecule is broadly conserved or that the pathway has evolved to respond to a number of inputs (Dubuis and Haas, 2007). The existence of three sensor kinases that operate upstream in the Gac/Rsm pathway of P. aeruginosa supports the latter hypothesis.
In what they referred to as ‘competition sensing’, Cornforth and Foster recently proposed that bacterial stress responses include antagonistic components, and that these pathways have evolved to respond to threats posed by other bacteria (Cornforth and Foster, 2013). For example, in response to DNA damage, the SOS pathway stimulates colicin production in E. coli, and in P. aeruginosa, exogenous peptidoglycan fragments have been shown to stimulate quorum-regulated toxins (Cascales et al., 2007; Korgaonkar et al., 2013). Our study demonstrates that ‘competition sensing’ includes an antibacterial response to cellular damage in kin cells. While we found that T6S-dependent killing by P. aeruginosa is part of an antagonistic response to lytic threats, Borgeaud et al. reported that in V. cholerae, T6S is co-regulated with competence machinery and utilized for obtaining access to exogenous DNA (Borgeaud et al., 2015). Together, these studies demonstrate how functionally conserved machinery can be incorporated into diverse cellular programs exhibited by bacteria.
The ‘danger theory’ of eukaryotic immunity proposes that in addition to the foreign substances that they introduce, threats can be sensed by virtue of cellular damage and ensuing mislocalization of host factors (Matzinger, 1994; Kono and Rock, 2008). For instance, uric acid microcrystals, which form upon release of the molecule to the sodium-rich extracellular milieu, stimulate dendritic cell maturation (Shi et al., 2003). Our study shows that bacteria can also recognize threats by sensing self-derived signals associated with cell damage (Figure 9). Moreover, we find that the response to such signals includes the activation of factors that combat the threat—akin to the stimulation of inflammation in eukaryotes. It remains to be determined whether danger sensing is common among bacteria. The Gac/Rsm pathway is conserved widely among Gram-negative γ-proteobacteria; however, the variability of genes under its control confounds a prediction of its general involvement in danger sensing (Lapouge et al., 2008). An intriguing possibility is that bacteria can utilize a diversity of signaling systems to sense and respond to kin cell damage.
All strains used in this study were derived from P. aeruginosa PAO1 (Stover et al., 2000), B. thai E264 (Yu et al., 2006), E. cloacae ATCC 13047 (Ren et al., 2010), and E. coli XK1502 (Panicker and Minkley, 1985). Routine cultivation of bacteria was performed using Luria broth (LB) medium. A low salt formulation of LB in which no additional sodium chloride was added (LS-LB), was used for plate-based co-culture and competition assays. For P. aeruginosa, media were supplemented with 25 μg/ml irgasan, 30 μg/ ml gentamycin, 75 μg/ml tetracycline, or 40 μg/ml X-gal (5-bromo-4-chloro-3-indolyl β-D-galactopyranoside) as necessary, and counter selection for allelic exchange was performed on low-salt LB supplemented with 5% wt/vol sucrose. For B. thai, media were supplemented with 25 μg/ml irgasan and 200 μg/ml trimethoprim as necessary, and counter-selection for allelic exchange was performed on M9 minimal medium agar plates containing 0.4% glucose and 0.2% (wt/vol) p-chlorophenylalanine (Chandler et al., 2009). For E. coli, media was supplemented with 15 μg/ml gentamycin, 200 μg/ml trimethoprim, 25 μg/ml chloramphenicol, and 150 μg/ml carbenicillin as necessary.
Markerless deletions of genes in P. aeruginosa and B. thai were generated in frame by allelic exchange with the suicide vectors pEXG2 and pEX18gm (P. aeruginosa), or pJRC115 (B. thai) (Rietsch et al., 2005; Chandler et al., 2009). SacB and pheS-A304G were used for counterselection in P. aeruginosa and B. thai, respectively. Deletion alleles were constructed by splicing together 500–600 bp regions flanking the gene to be deleted by overlap extension PCR, and cloning them into the appropriate vector. The open reading frame, except the first and last 4–8 codons of the gene, was replaced by the sequence 5′- TTCAGCATGCTTGCGGCTCGAGTT -3′. A detailed list of strains and vectors used this study are provided in Tables 1 and 2, respectively.
Functional translational fluorescent fusions to ClpV1 and Fha1 at their native promoters were achieved by allelic exchange. Constructs were generated by amplification of 500–600 bps regions flanking the C-terminus of the gene. These regions were spliced together with a BamHI site replacing the stop codon and cloned into pEXG2. Gfp and superfolder-gfp (sfgfp) containing a stop codon was cloned into the BamHI site for clpV1 and fha1 constructs, respectively. The translational fusion to MagA was generated using a similar strategy except that only the first 12 codons of magA were retained. A resulting clone was introduced to P. aeruginosa by allelic exchange. To generate P. aeruginosa attB::p-rsmZ-gfp, the rsmZ promoter was amplified, spliced to an unstable gfp variant, and cloned into mini-CTX2 (Hoang et al., 2000). The resulting clone was introduced to P. aeruginosa by conjugation. The retSW90A strain was generated by amplification of 500–600 bps flanking the W90 residue of RetS. The W90A substitution was encoded on the overlap primers and the two regions were spliced together by overlap extension PCR and cloned into pEXG2. The mutation was introduced to PAO1 by allelic exchange. Transcriptional and translational lacZ fusions to tssA1, original described by Brencic et al. (Brencic and Lory, 2009), were introduced to P. aeruginosa by conjugation and transformation, respectively. Integration of constitutive fluorescent reporters at the attTn7 site of B. thai and P. aeruginosa was achieved by four-parental mating or transformation, respectively (Choi et al., 2005).
TraG on RP4 was replaced with a chloramphenicol resistance cassette by λ Red recombination (Datsenko and Wanner, 2000) in E. coli CC1254, resulting in RP4 ∆traG::chlmR (RP4 ∆traG). Following PCR confirmation, RP4 ∆traG was transferred to XK1502 by P1 phage transduction.
Overnight cultures were diluted 1:50 or 1:100 in LB and incubated with aeration at 37°C until an OD600 of 0.5–0.7 was reached. Cultures were concentrated fivefold and mixed 1:1 by volume with the indicated competitor. 1–2 µl of the bacterial suspension was spotted onto a 1.5% wt/vol agarose growth pads (prepared using Vogel Bonner minimal media containing 0.2% wt/vol sodium nitrate and 0.01% wt/vol casamino acids) and sealed.
Microscopy data were acquired using NIS Elements (Nikon) acquisition software on a Nikon Ti-E inverted microscope with a 60× oil objective, automated focusing (Perfect Focus System, Nikon), a xenon light source (Sutter Instruments), and a CCD camera (Clara series, Andor). Lysis and growth rate were measured from TLFM sequences acquired at 5-min intervals; expression was measured from 15-min interval TLFM sequences. At least three fields were acquired and analyzed for each experimental group, and experiments were performed independently multiple times.
TLFM sequences were analyzed using previously described methods (LeRoux et al., 2012). Briefly, cells were identified from phase images using a watershed algorithm. P. aeruginosa and competitor cell populations were distinguished by the constitutive expression of cytoplasmic mCherry in either P. aeruginosa or the competitor organism. Non-cell debris was excluded based on a size threshold and/or fluorescence gating. For display in figures only, the GFP channel was γ-transformed (ClpV1-GFP, exponent = 1.2; Fha1-GFP, exponent = 1.3), thresholded, and the Matlab colormap (jet) was applied.
To calculate average cellular fluorescence, GFP intensity of non-cell regions was subtracted from GFP intensity of cell regions as defined by cell masks. To identify foci within cells, the cytoplasmic fluorescence of each cell was fit to an empirical model for cytoplasmic fluorescence. A cell template image was generated by applying a Gaussian blur (radius 2 pixels) to the square root of the distance transform applied to the cell mask. A least-squares fit of a constant times the cell template was then performed to the observed cell image. The noise was computed as the standard deviation of the cell intensity after subtracting the fits of the cytoplasmic fluorescence and the fits of all potential foci. The signal to noise of a potential focus was computed as the intensity of the brightest pixel divided by the noise of that cell, and was defined as a focus if the value exceeded an empirically determined threshold. Candidate foci were identified globally using a watershed algorithm, then assigned to cells whose masks overlapped the focus position. The average and standard deviation of the percentage of P. aeruginosa cells with foci calculated for three fields is plotted.
For contact-dependence analyses, cell neighbors were defined as cells with a boundary within a 2-pixel radius of the current cell (LeRoux et al., 2012). Growth rate and cellular lysis were determined from datasets in which cells were linked over time based on frame-to-frame overlap of bright-field images. Doubling times—defined as minutes between birth and death—were calculated for cells that arose from a division after the start of the experiment and divided prior to the end of the experiment. A lysis event was defined as an 80% decrease in fluorescence intensity of a single cell between consecutive frames and was measured for in strains expressing a constitutive fluorophore (mCherry, GFP, or CFP). For figures in which end-point P. aeruginosa lysis was presented, the number of P. aeruginosa cells that lysed was normalized to the initial number of P. aeruginosa–B. thai contacts to control for small fluctuations in cell density and P. aeruginosa–competitor ratio.
For all end-point growth competition assays, except when noted, overnight cultures were used. Cultures were washed and mixed at the indicated volumetric ratios. Five microliters of the resulting mixture was spotted on a nitrocellulose membrane placed on a LS-LB 3% wt/vol agar plate and incubated at 37°C. For intraspecies growth competition experiments, P. aeruginosa attB::lacZ was used as the donor strain background, experiments were initiated at a 1:1 donor:recipient ratio, and were plated on LB containing X-gal for enumeration. Growth competition experiments with B. thai competitors were initiated at a donor:recipient ratio of 5:1 (interspecies wild-type and T6S-dependent fitness, Figure 1; TPP strain experiments, Figure 3) or 1:1 (∆tssM1 and ∆gacS fitness, Figure 5A) and plated on LB containing gentamycin (30 µg/ml) for B. thai selection and trimethoprim (200 µg/ml) for P. aeruginosa selection. For E. cloacae competitors, which encode lacZ, log-phase cultures were mixed at a ratio of 8:1 (TPP strain experiments, Figure 3—figure supplement 2) or 1:1 (∆tssM-1 and ∆gacS fitness, Figure 5B) and plated on media containing X-gal for P. aeruginosa–E. cloacae enumeration. For growth competition experiments with E. coli competitors, a P. aeruginosa attB::lacZ background was used, experiments were initiated at a donor:recipient ratio of 1:2, incubated for 3 hr, and plated on LB containing X-gal.
P. aeruginosa strains bearing previously validated chromosomally encoded transcriptional or translation fusions to tssA1 (PA0082) were utilized to quantify transcription and translation (see also Tables 1 and 2) (Brencic and Lory, 2009). Overnight cultures were washed, mixed at a 1:2 ratio with media (monoculture), B. thai, or B. thai ∆tssM-1, then spotted on a nitrocellulose membrane placed on a LS-LB 3% wt/vol agar plate. Following a 3 hr incubation at 37°C, cells were harvested in PBS, washed, and assayed for relative levels of β-galactosidase activity using the Galacto-Light Plus Reporter Gene Assay System (Life Technologies).
Bacterial suspensions composed of overnight cultures, washed once and mixed at a 2:1 P. aeruginosa:B. thai ratio were spotted as depicted in Figure 6C on LS-LB 3% wt/vol agar. Following 3 hr of incubation at 37°C, bacteria growing on top of the filter (Figure 6C, black dashed lines) were resuspended in LB and imaged by microscopy to determine PARA induction. To exclude dead P. aeruginosa cells from our analysis, which were prevalent in Condition 1, a P. aeruginosa strain constitutively expressing mCherry was used and only mCherry-positive cells were considered.
Stationary phase P. aeruginosa or B. thai cultures were pelleted and resuspended in growth media or PBS before sonication. Colony forming units (c.f.u.) of cultures and lysates were enumerated to verify that >95% of cells were lysed. For TLFM experiments, an agarose pad prepared as described above was infused with either lysate or PBS (control). The concentration of lysate in the agarose pad was approximately 5 × 104 lysed cells/µl. Reporter strains were cultivated to OD600 of 0.5–0.7, spotted on the lysate-containing agarose pad, and imaged. For the growth competition assays, lysate or PBS (control) was spotted on a LS-LB 3% wt/vol agar growth plate, a nitrocellulose filter was placed on top, and indicated mixtures of cells were spotted directly over the lysate.
LB plates were prepared by applying either lysate (25-fold concentrated P. aeruginosa at an OD600 of 0.5–0.7 resuspended in PBS and lysed by sonication) or PBS (control) at 2% (vol/vol). A concentrated P. aeruginosa clpV1-gfp culture (at OD600 0.5–0.7) was spotted on the nitrocellulose membrane placed on each plate then incubated for 2.5 hr at 37°C. Cells were harvested in PBS, washed, then stored at −80°C. Duplicate biological samples were prepared for mass spectrometry analysis as described previously (Whitney et al., 2014).
The semi-quantitative technique of spectral counting was used to determine the relative abundance of identified proteins in each sample as described in Whitney et al. (Liu et al., 2004; Whitney et al., 2014). Only proteins present in both biological replicates and with a sum of 20 spectral counts or greater across all replicates were considered in our analysis.
Overnight cultures of P. aeruginosa attB::lacZ were washed, mixed 1:2 with E. coli strains, and spotted on a nitrocellulose membrane placed on a NS-LB 3% wt/vol agar plate. Following 3 hr of incubation at 37°C, levels of extracellular and total β-galactosidase activity were determined as previously described (Chou et al., 2012). The percentage of lysed P. aeruginosa lysis was determined by normalizing extracellular to total β-galactosidase activity.
All TLFM datasets were analyzed by two-way ANOVA using a Bonferroni correction for testing multiple hypotheses. End-point assays were analyzed using a two-tailed Student's t test. Asterisks indicate significance at p < 0.05. Proteomic data were analyzed using Gene Set Enrichment Analysis (GSEA) (Mootha et al., 2003; Subramanian et al., 2005). Genes positively regulated by the Gac/Rsm pathway were defined as those found differentially regulated in a prior study comparing mRNA levels of ∆retS and wild-type P. aeruginosa (Goodman et al., 2004). 1000 permutations of the analysis were performe d across both phenotype and gene set, and the ratio of classes metric was used for ranking genes.
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Michael LaubReviewing Editor; Massachusetts Institute of Technology, United States
eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.
Thank you for sending your work entitled “Kin cell lysis is a danger signal that activates antibacterial pathways of Pseudomonas aeruginosa” for consideration at eLife. Your article has been favorably evaluated by Michael Marletta (Senior editor) and 3 reviewers, one of whom, Michael Laub, is a member of our Board of Reviewing Editors.
The Reviewing editor and the other reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.
Each of the three reviewers thought this was a well-done study that uncovered an exciting and interesting new aspect of T6SS biology. The reviewers were generally satisfied with the data and the conclusions drawn from these data, but each raised a number of points that should be addressed in a revised manuscript. Most are issues about the clarity of presentation, but there are a couple of cases in which additional experiments are likely required.
Figure 4: The description of the role of RetS was confusing, as the text says retS is required for PARA. Initially I thought that implied RetS was required for induction of the genes involved in PARA. But actually, in the retS mutant the genes for T6SS and PARA are constitutively produced (Figure 4G). So while retS is required for “signal-responsiveness”, the way it's written confuses the reader into thinking retS is required for transcription of clpV1-gfp and other readouts that report on the transcription of the T6SS apparatus.
Further, in all likelihood, the signal sensed by RetS likely antagonizes it from antagonizing GacS, thereby activating GacA. It might help the reader if the authors just spelled out this idea/working model more explicitly and in plain language earlier on.
Figure 7: I don't understand the units in 7A which indicates 'lysis events'. The text says it's a small percentage but the figure isn't actually reporting percentages. This needs clarification.
Figure 7A: Can lysis events be visualized or seen in the time-lapse movies shown earlier? This seems essential to show.
Although 52% of Gac targets also are induced by lysate (Figure 7E), that means nearly 50% did not respond—why not? This should be commented on.
The authors pose a reasonable solution to the discrepancy between their model and that previously proposed, namely that polymyxin B may have lead previously to cell lysis and induction of PARA. It would seem easy enough and well worth testing (if only to cite as data not shown) whether this is the case.
1) The authors present strong evidence that PARA is mediated through Gac (Figure 4). However, I think it's important they explicitly demonstrate that PARA does not occur in a GacA or GacS mutant. This could be done by analyzing expression of the rsmZ-GFP reporter in response to B. thai (as in Figure 4C) in a gacA or gacS mutant background.
2) Induction of PARA appears to occur in only a subpopulation of cells (Figure 2A; Figure 4C). The authors should comment on this heterogeneity; plotting the expression of ClpV1-gfp (for e.g.) on the basis of average fluorescent cell intensity (as in Figure 2B), may obscure the difference in expression between cells in which the system is induced and those in which the system is not. The degree of induction of the system at the level of the individual cell, as opposed to the population as a whole, is therefore likely to be much higher than reported.
3) The authors should consider testing the prediction that lysis of kin cells occurs/begins prior to PARA if technically feasible. Currently they show that B. thai results in kin cell lysis, that kin cell lysis induces PARA, and that lysis of kin cells precedes lysis of B. thai competitor cells.
Overall the experiments described are rigorous and well-designed, and the conclusions are supported by the data shown. My only criticism is that many of the experiments lack sufficient descriptive detail (either in the Methods, Results or figure legends) to fully understand what was done. For example:
1) The “T6S-dependent fitness” displayed by P. aeruginosa (in Figure 1 and in the first paragraph of the Results section) should be better defined in the Results section and the way the experiments was conducted should be better described in the Materials and methods section.
2) Figure 2: It is unclear whether the fluorescent reporters shown in the TLFM images (Figure 2A) are the same as the expression reporters quantified in the accompanying graphs (Figure 2B-E), since they are labeled slightly differently (ClpV1-GFP vs clpV1-gfp). Similarly, the Methods section describing the construction of these reporters needs more detail. Although they were constructed according to previously published methods, a brief description should be included here. Also no reference is cited for the statement that these were generated as previously described.
3) A description of the transcriptional and translational lacZ reporters shown in Figure 4B should be included in the Methods. Also, it is unclear how the “LacZ” activity measured from these mixed populations was normalized and what P. aeruginosa strain monoculture was used for normalization.https://doi.org/10.7554/eLife.05701.031
- Paul A Wiggins
- Joseph D Mougous
- Joseph D Mougous
- Michele LeRoux
- Joseph D Mougous
- David R Goodlett
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
We thank D Low and C Hayes for E. cloacae strains, J Harrison for the gacS deletion construct, S Lory for β-galactosidase reporters, A Rietsch and P de Boer for codon-optimized superfolder gfp, H Schweizer for Tn7 constructs, and N Kuwada and H Kulasekara for helpful discussions. ML was supported by the Molecular and Cellular Biology Training Grant (T32GM007270) and EIM was a University of Washington Mary Gates Scholar. JDM holds an Investigator in the Pathogenesis of Infectious Disease Award from the Burroughs Wellcome Fund.
- Michael Laub, Reviewing Editor, Massachusetts Institute of Technology, United States
© 2015, LeRoux et al.
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