Achromobacter xylosoxidans is increasingly recognized as a colonizer of cystic fibrosis (CF) patients, but the role that A. xylosoxidans plays in pathology remains unknown. This knowledge gap is largely due to the lack of model systems available to study the toxic potential of this bacterium. Recently, a phospholipase A2 (PLA2) encoded by a majority of A. xylosoxidans genomes, termed AxoU, was identified. Here, we show that AxoU is a type III secretion system (T3SS) substrate that induces cytotoxicity to mammalian cells. A tissue culture model was developed showing that a subset of A. xylosoxidans isolates from CF patients induce cytotoxicity in macrophages, suggestive of a pathogenic or inflammatory role in the CF lung. In a toxic strain, cytotoxicity is correlated with transcriptional activation of axoU and T3SS genes, demonstrating that this model can be used as a tool to identify and track expression of virulence determinants produced by this poorly understood bacterium.

ExoU is a type III-secreted cytotoxin expressing A phospholipase activity when injected into eukaryotic target cells by the bacterium The enzymatic activity of ExoU is undetectable in vitro unless ubiquitin, a required cofactor, is added to the reaction. The role of ubiquitin in facilitating ExoU enzymatic activity is poorly understood but of significance for designing inhibitors to prevent tissue injury during infections with strains of producing this toxin. Most ubiquitin-binding proteins, including ExoU, demonstrate a low (micromolar) affinity for monoubiquitin (monoUb). Additionally, ExoU is a large and dynamic protein, limiting the applicability of traditional structural techniques such as NMR and X-ray crystallography to define this protein-protein interaction. Recent advancements in computational methods, however, have allowed high-resolution protein modeling using sparse data. In this study, we combine double electron-electron resonance (DEER) spectroscopy and Rosetta modeling to identify potential binding interfaces of ExoU and monoUb. The lowest-energy scoring model was tested using biochemical, biophysical, and biological techniques. To verify the binding interface, Rosetta was used to design a panel of mutations to modulate binding, including one variant with enhanced binding affinity. Our analyses show the utility of computational modeling when combined with sensitive biological assays and biophysical approaches that are exquisitely suited for large dynamic proteins.

ExoU is a potent type III secretion system effector that is injected directly into mammalian cells by the opportunistic pathogen Pseudomonas aeruginosa. As a ubiquitin-activated phospholipase A2 (PLA2), ExoU exhibits cytotoxicity by cleaving membrane phospholipids, resulting in lysis of the host cells and inhibition of the innate immune response. Recently, ExoU has been established as a model protein for a group of ubiquitin-activated PLA2 enzymes encoded by a variety of bacteria. Bioinformatic analyses of homologous proteins is a powerful approach that can complement and enhance the overall understanding of protein structure and function. To conduct homology studies, it is important to have efficient and effective tools to screen and to validate the putative homologs of interest. Here we make use of an Escherichia coli-based dual expression system to screen putative ubiquitin-activated PLA2 enzymes from a variety of bacteria that are known to colonize humans and to cause human infections. The screen effectively identified multiple ubiquitin-activated phospholipases, which were validated using both biological and biochemical techniques. In this study, two new ExoU orthologs were identified and the ubiquitin activation of the rickettsial enzyme RP534 was verified. Conversely, ubiquitin was not found to regulate the activity of several other tested enzymes. Based on structural homology analyses, functional properties were predicted for AxoU, a unique member of the group expressed by Achromobacter xylosoxidans. IMPORTANCE Bacterial phospholipases act as intracellular and extracellular enzymes promoting the destruction of phospholipid barriers and inflammation during infections. Identifying enzymes with a common mechanism of activation is an initial step in understanding structural and functional properties. These properties serve as critical information for the design of specific inhibitors to reduce enzymatic activity and ameliorate host cell death. In this study, we identify and verify cytotoxic PLA2 enzymes from several bacterial pathogens. Similar to the founding member of the group, ExoU, these enzymes share the property of ubiquitin-mediated activation. The identification and validation of potential toxins from multiple bacterial species provide additional proteins from which to derive structural insights that could lead to paninhibitors useful for treating a variety of infections.

Patients affected by CF develop chronic bacterial infections characterized by inflammatory exacerbations and tissue damage. Advancements in sequencing technologies have broadened the list of opportunistic pathogens colonizing the CF lung. A. xylosoxidans is increasingly recognized as an opportunistic pathogen in CF, yet our understanding of the bacterium as a contributor to human disease is limited.

ExoU, a type III secreted phospholipase effector of Pseudomonas aeruginosa, serves as a prototype to model large, dynamic, membrane-associated proteins. ExoU is synergistically activated by interactions with membrane lipids and ubiquitin. To dissect the activation mechanism, structural homology was used to identify an unstructured loop of approximately 20 residues in the ExoU amino acid sequence. Mutational analyses indicate the importance of specific loop amino acid residues in mediating catalytic activity. Engineered disulfide cross-links show that loop movement is required for activation. Site directed spin labeling EPR and DEER (double electron–electron resonance) studies of apo and holo states demonstrate local conformational changes at specific sites within the loop and a conformational shift of the loop during activation. These data are consistent with the formation of a substrate-binding pocket providing access to the catalytic site. DEER distance distributions were used as constraints in RosettaDEER to construct ensemble models of the loop in both apo and holo states, significantly extending the range for modeling a conformationally dynamic loop.