While complex intra- and interspecies microbial community dynamics are apparent during chronic infections and likely alter patient health outcomes, our understanding of these interactions is currently limited. For example, Pseudomonas aeruginosa and Staphylococcus aureus are often found to coinfect the lungs of patients with cystic fibrosis (CF), yet these organisms compete under laboratory conditions. Recent observations that coinfection correlates with decreased health outcomes necessitate we develop a greater understanding of these interbacterial interactions. In this study, we tested the hypothesis that P. aeruginosa and/or S. aureus adopts phenotypes that allow coexistence during infection. We compared competitive interactions of P. aeruginosa and S. aureus isolates from mono- or coinfected CF patients employing in vitro coculture models. P. aeruginosa isolates from monoinfected patients were more competitive toward S. aureus than P. aeruginosa isolates from coinfected patients. We also observed that the least competitive P. aeruginosa isolates possessed a mucoid phenotype. Mucoidy occurs upon constitutive activation of the sigma factor AlgT/U, which regulates synthesis of the polysaccharide alginate and dozens of other secreted factors, including some previously described to kill S. aureus . Here, we show that production of alginate in mucoid strains is sufficient to inhibit anti- S. aureus activity independent of activation of the AlgT regulon. Alginate reduces production of siderophores, 2-heptyl-4-hydroxyquinolone- N -oxide (HQNO), and rhamnolipids—each required for efficient killing of S. aureus . These studies demonstrate alginate overproduction may be an important factor driving P. aeruginosa coinfection with S. aureus . IMPORTANCE Numerous deep-sequencing studies have revealed the microbial communities present during respiratory infections in cystic fibrosis (CF) patients are diverse, complex, and dynamic. We now face the challenge of determining the influence of these community dynamics on patient health outcomes and identifying candidate targets to modulate these interactions. We make progress toward this goal by determining that the polysaccharide alginate produced by mucoid strains of P. aeruginosa is sufficient to inhibit multiple secreted antimicrobial agents produced by this organism. Importantly, these secreted factors are required to outcompete S. aureus , when the microbes are grown in coculture; thus we propose a mechanism whereby mucoid P. aeruginosa can coexist with S. aureus . Finally, the approach used here can serve as a platform to investigate the interactions among other CF pathogens.

Despite the recognition of Pseudomonas aeruginosa as an opportunistic pathogen, no vaccine against this bacteria has come to market. This review describes the current state-of-the-art in vaccinolog...

The araC-ParaBAD inducible promoter system is tightly controlled and allows gene expression to be modulated over a wide range in Escherichia coli , which has led to its widespread use in other bacteria. Although anecdotal evidence suggests that araC-ParaBAD is leaky in Pseudomonas aeruginosa , neither a thorough analysis of this inducible promoter system in P. aeruginosa nor a concerted effort to identify alternatives with improved functionality has been reported. Here, we evaluated the functionality of the araC-ParaBAD system in P. aeruginosa . Using transcriptional fusions to a lacZ reporter gene, we determined that the noninduced expression from araC-ParaBAD is high and cannot be reduced by carbon catabolite repression as it can in E. coli . Modulating translational initiation by altering ribosome-binding site strength reduced the noninduced activity but also decreased the maximal induced activity and narrowed the induction range. Integrating the inducible promoter system into the posttranscriptional regulatory network that controls catabolite repression in P. aeruginosa significantly decreased the noninduced activity and increased the induction range. In addition to these improvements in the functionality of the araC-ParaBAD system, we found that the lacI ^q - Ptac and rhaSR-PrhaBAD inducible promoter systems had significantly lower noninduced expression and were inducible over a broader range than araC-ParaBAD . We demonstrated that noninduced expression from the araC-ParaBAD system supported the function of genes involved in antibiotic resistance and tryptophan biosynthesis in P. aeruginosa , problems that were avoided with rhaSR-PrhaBAD. rhaSR-PrhaBAD is tightly controlled, allows gene expression over a wide range, and represents a significant improvement over araC-ParaBAD in P. aeruginosa . IMPORTANCE We report the shortcomings of the commonly used Escherichia coli araC-ParaBAD inducible promoter system in Pseudomonas aeruginosa , successfully reengineered it to improve its functionality, and show that the E. coli rhaSR-PrhaBAD system is tightly controlled and allows inducible gene expression over a wide range in P. aeruginosa .

Laboratory models are critical to basic and translational microbiology research. Models serve multiple purposes, from providing tractable systems to study cell biology to allowing the investigation of inaccessible clinical and environmental ecosystems. Although there is a recognized need for improved model systems, there is a gap in rational approaches to accomplish this goal. We recently developed a framework for assessing the accuracy of microbial models by quantifying how closely each gene is expressed in the natural environment and in various models. The accuracy of the model is defined as the percentage of genes that are similarly expressed in the natural environment and the model. Here, we leverage this framework to develop and validate two generalizable approaches for improving model accuracy, and as proof of concept, we apply these approaches to improve models of Pseudomonas aeruginosa infecting the cystic fibrosis (CF) lung. First, we identify two models, an in vitro synthetic CF sputum medium model (SCFM2) and an epithelial cell model, that accurately recapitulate different gene sets. By combining these models, we developed the epithelial cell-SCFM2 model which improves the accuracy of over 500 genes. Second, to improve the accuracy of specific genes, we mined publicly available transcriptome data, which identified zinc limitation as a cue present in the CF lung and absent in SCFM2. Induction of zinc limitation in SCFM2 resulted in accurate expression of 90% of P. aeruginosa genes. These approaches provide generalizable, quantitative frameworks for microbiological model improvement that can be applied to any system of interest.

During chronic infection, several factors contribute to the biogeography of microbial communities. Heterogeneous populations of Pseudomonas aeruginosa form aggregates in cystic fibrosis airways; however, the impact of this population heterogeneity on spatial organization and aggregate assembly is not well understood.