ABSTRACTGram-negative bacteria naturally produce outer membrane vesicles (OMVs) that arise through bulging and pinching off of the outer membrane. OMVs have several biological functions for bacteria, most notably as trafficking vehicles for toxins, antimicrobials, and signaling molecules. While their biological roles are now appreciated, the mechanism of OMV formation has not been fully elucidated. We recently demonstrated that the signaling molecule 2-heptyl-3-hydroxy-4-quinolone (PQS) is required for OMV biogenesis inP. aeruginosa. We hypothesized that PQS stimulates OMV formation through direct interaction with the outer leaflet of the outer membrane. To test this hypothesis, we employed a red blood cell (RBC) model that has been used extensively to study small-molecule–membrane interactions. Our results revealed that addition of PQS to RBCs induced membrane curvature, resulting in the formation of membrane spicules (spikes), consistent with small molecules that are inserted stably into the outer leaflet of the membrane. Radiotracer experiments demonstrated that sufficient PQS was inserted into the membrane to account for this curvature and that curvature induction was specific to PQS structure. These data suggest that a low rate of interleaflet flip-flop forces PQS to accumulate in and expand the outer leaflet relative to the inner leaflet, thus inducing membrane curvature. In support of PQS-mediated outer leaflet expansion, the PQS effect was antagonized by chlorpromazine, a molecule known to be preferentially inserted into the inner leaflet. Based on these data, we propose a bilayer-couple model to describeP. aeruginosaOMV biogenesis and suggest that this is a general mechanism for bacterial OMV formation.IMPORTANCEDespite the ubiquity and importance of outer membrane vesicle (OMV) production in Gram-negative bacteria, the molecular details of OMV biogenesis are not fully understood. Early experiments showed that 2-heptyl-3-hydroxy-4-quinolone (PQS) induces OMV formation through physical interaction with the membrane but did not elucidate the mechanism. The present study demonstrates that PQS specifically and reversibly promotes blebbing of model membranes dependent upon the same properties that are required for OMV formation inP. aeruginosa. These results are consistent with a mechanism where expansion of the outer leaflet relative to the inner leaflet induces localized membrane curvature. This “bilayer-couple” model can account for OMV formation under all conditions and is easily generalized to other Gram-negative bacteria. The model therefore raises the possibility of a universal paradigm for vesicle production in prokaryotes with features strikingly different from what is known in eukaryotes.

SummaryMany bacteria use extracellular signals to coordinate group behaviours, a process referred to as quorum sensing (QS). The bacterium Pseudomonas aeruginosa utilizes a complex QS system to control expression of over 300 genes, including many involved in host colonization and disease. The Pseudomonas quinolone signal (PQS) is a component of P. aeruginosa QS, and although it contributes to virulence in some models of infection, the PQS biosynthetic pathway is not fully elucidated. Here, we show that PqsH catalyses the terminal step in PQS production, synthesizing PQS in vitro using the substrates 2-heptyl-4-quinolone (HHQ), NADH and oxygen. Structure function studies reveal that the alkyl side-chain of HHQ is critical for PqsH activity with the highest activity observed for alkyl chain lengths of 7 and 9 carbons. Due to the PqsH requirement for oxygen, PQS and PQS-controlled virulence factors are not produced by anaerobic P. aeruginosa. Interestingly, anaerobic P. aeruginosa produced PQS in the absence of de novo protein synthesis upon introduction of oxygen, indicating that oxygen is the sole limiting substrate during anaerobic growth. We propose a model in which PqsH poises anaerobic P. aeruginosa to activate PQS-controlled factors immediately upon exposure to molecular oxygen.

The Pseudomonas quinolone signal (PQS) is an important quorum-sensing molecule in Pseudomonas aeruginosa that also mediates its own packaging and transport by stimulating outer membrane vesicle (OMV) formation. Because OMVs have been implicated in many virulence-associated behaviors, it is critical that we understand how they are formed. Our group proposed the bilayer-couple model for OMV biogenesis, where PQS intercalates into the outer membrane, causing expansion of the outer leaflet and consequently inducing curvature. In accordance with the model, we hypothesized that PQS must be transported from the cytoplasm to the outer membrane before it can initiate OMV formation. We initially examined two laboratory strains of P. aeruginosa and found significant strain-dependent differences. PQS export correlated strongly with OMV production, even though equivalent amounts of total PQS were produced by both strains. Interestingly, we discovered that poor OMV producers sequestered the majority of PQS in the inner membrane, which appeared to be the result of early saturation of the export pathway. Further analysis showed that strain-specific PQS export and OMV biogenesis patterns were stable once established but could be significantly altered by changing the growth medium. Finally, we demonstrated that the associations described for laboratory strains also held for three clinical strains. These results suggest that factors controlling the export of PQS dictate OMV biogenesis. This work provides new insight into PQS-controlled virulence in P. aeruginosa and provides important tools to further study signal export and OMV biogenesis.

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Pseudomonas aeruginosa is an opportunistic pathogen found ubiquitously in the environment and commonly associated with airway infection in patients with cystic fibrosis. P. aeruginosa strain PAO1 is one of the most commonly used laboratory-adapted research strains and is a standard laboratory-adapted strain in multiple laboratories and strain banks worldwide. Due to potential isolate-to-isolate variability, we investigated the genomic and phenotypic diversity among 10 PAO1 strains (henceforth called sublines) obtained from multiple research laboratories and commercial sources. Genomic analysis predicted a total of 5,682 genes, with 5,434 (95.63%) being identical across all 10 strains. Phenotypic analyses revealed comparable growth phenotypes in rich media and biofilm formation profiles. Limited differences were observed in antibiotic susceptibility profiles and immunostimulatory potential, measured using heat-killed whole-cell preparations in four immortalized cell lines followed by quantification of interleukin-6 (IL-6) and IL-1β secretion. However, variability was observed in the profiles of secreted molecular products, most notably, in rhamnolipid, pyoverdine, pyocyanin, Pseudomonas quinolone signal (PQS), extracellular DNA, exopolysaccharide, and outer membrane vesicle production. Many of the observed phenotypic differences did not correlate with subline-specific genetic changes, suggesting alterations in transcriptional and translational regulation. Taken together, these results suggest that individually maintained sublines of PAO1, even when acquired from the same parent subline, are continuously undergoing microevolution during culture and storage that results in alterations in phenotype, potentially affecting the outcomes of in vitro phenotypic analyses and in vivo pathogenesis studies. IMPORTANCE Laboratory-adapted strains of bacteria are used throughout the world for microbiology research. These prototype strains help keep research data consistent and comparable between laboratories. However, we have observed phenotypic variability when using different strains of Pseudomonas aeruginosa PAO1, one of the major laboratory-adopted research strains. Here, we describe the genomic and phenotypic differences among 10 PAO1 strains acquired from independent sources over 15 years to understand how individual maintenance affects strain characteristics. We observed limited genomic changes but variable phenotypic changes, which may have consequences for cross-comparison of data generated using different PAO1 strains. Our research highlights the importance of limiting practices that may promote the microevolution of model strains and calls for researchers to specify the strain origin to ensure reproducibility.