Proteomic Identification of Novel Secreted Antibacterial Toxins of the Serratia marcescens Type VI Secretion System

It has recently become apparent that the Type VI secretion system (T6SS) is a complex macromolecular machine used by many bacterial species to inject effector proteins into eukaryotic or bacterial cells, with significant implications for virulence and interbacterial competition. “Antibacterial” T6SSs, such as the one elaborated by the opportunistic human pathogen, Serratia marcescens, confer on the secreting bacterium the ability to rapidly and efficiently kill rival bacteria. Identification of secreted substrates of the T6SS is critical to understanding its role and ability to kill other cells, but only a limited number of effectors have been reported so far. Here we report the successful use of label-free quantitative mass spectrometry to identify at least eleven substrates of the S. marcescens T6SS, including four novel effector proteins which are distinct from other T6SS-secreted proteins reported to date. These new effectors were confirmed as antibacterial toxins and self-protecting immunity proteins able to neutralize their cognate toxins were identified. The global secretomic study also unexpectedly revealed that protein phosphorylation-based post-translational regulation of the S. marcescens T6SS differs from that of the paradigm, H1-T6SS of Pseudomonas aeruginosa. Combined phosphoproteomic and genetic analyses demonstrated that conserved PpkA-dependent threonine phosphorylation of the T6SS structural component Fha is required for T6SS activation in S. marcescens and that the phosphatase PppA can reverse this modification. However, the signal and mechanism of PpkA activation is distinct from that observed previously and does not appear to require cell–cell contact. Hence this study has not only demonstrated that new and species-specific portfolios of antibacterial effectors are secreted by the T6SS, but also shown for the first time that PpkA-dependent post-translational regulation of the T6SS is tailored to fit the needs of different bacterial species.Gram-negative bacteria have evolved several specialized protein secretion systems to secrete a wide variety of substrate proteins into the extracellular milieu or to inject them into other, often eukaryotic, cells (1). Secreted proteins and their associated secretion systems are very important in bacterial virulence and interactions with other organisms (2). One of the most recent discoveries in this field is the Type VI secretion system (T6SS),¹ which occurs widely across bacterial species (3, 4) and can target proteins to both bacterial and eukaryotic cells (5). The significance of the T6SS is becoming increasingly apparent. It has been implicated in virulence, commensalism, and symbiosis with eukaryotes (5, 6). Additionally, in many bacteria, the T6SS is now implicated in antibacterial activity. T6SS-mediated antibacterial killing appears to be important for competition between bacterial species, for example within the resident microflora of a eukaryotic host (5, 7).Secretion by the T6SS relies on 13 conserved core components which are predicted to form a large machinery associated with the cell envelope, including membrane-bound and bacteriophage tail-like subassemblies (8, 9). The membrane bound subassembly consists of inner membrane proteins (TssLM) and an outer membrane lipoprotein (TssJ) and is anchored to the cell wall. The phage tail-like assembly consists of several proteins that show structural homology with T4 phage tail proteins or are organized in similar structures (10). Hcp (TssD) proteins form hexameric rings and are thought to stack into tube-like structures (11, 12). This Hcp tube is believed to be capped by a trimer of VgrG (TssI) proteins, which share structural homology with the needle of the T4 phage tail (10, 13). In addition, VipA (TssB) and VipB (TssC) form a large tubular structure highly reminiscent of the T4 phage tail sheath (14, 15). Such similarities have led to the idea that the T6SS resembles an inverted contractile bacteriophage infection machinery and injects substrates via an Hcp/VgrG needle into other cells. Recent models propose that the VipA/B sheath surrounds the Hcp/VgrG needle and contraction of the VipA/B tube pushes the Hcp/VgrG needle out of the cell (16–18). It has been postulated that this mechanism can be triggered by close contact with other neighboring cells (19–21).Assembly, localization, and remodelling of VipA/B tubules in vivo depend on the AAA+ ATPase ClpV (TssH), another essential core component of the T6SS (14, 16, 17). ClpV also interacts with the accessory component Fha (TagH) (22, 23), which is found in a subset of T6SSs (4). The Fha protein has an N-terminal domain with a forkhead associated motif, which is predicted to bind phospho-threonine peptides (24). In Pseudomonas aeruginosa, Fha1 is phosphorylated by the Thr/Ser kinase PpkA (TagE) and dephosphorylated by the phosphatase PppA (TagG), and the phosphorylation state of Fha1 regulates the activity of the T6SS (22, 23). Phosphorylation of Fha in P. aeruginosa is also controlled by additional components, which act upstream of PpkA and form a regulatory cascade for T6SS activation (22, 25). Although homologs of PpkA and PppA have been identified in the T6SS gene clusters of certain other bacteria (3), the regulation of the T6SS by post-translational protein phosphorylation has not yet been experimentally investigated outside of Pseudomonas.To understand how the T6SS affects eukaryotic and bacterial cells, it is critical to identify substrate proteins secreted by the T6SS. The VgrG and Hcp proteins were the first identified T6SS substrates and appear to be generally secreted to the external milieu by all T6SSs (26). However, as mentioned above, Hcp and VgrG are core components of the T6SS machinery and therefore represent extracellular components of the secretion apparatus rather than genuine secreted effector proteins. Nonetheless, a limited number of VgrG homologs with extra functional effector domains at the C terminus have been identified or predicted, which account for some of the T6SS dependent effects seen against bacteria and eukaryotes. For example, the C-terminal domain of VgrG-1 from Vibrio cholerae shows actin crosslinking activity in eukaryotic cells (13, 27) and the C-terminal domain of V. cholerae VgrG-3 has bacterial cell wall hydrolase activity (28, 29).Recently, following much effort in the field, a small number of proteins secreted by the T6SS, but not structural components, have been experimentally identified. These proteins are regarded as true secreted substrates of the T6SS, with effector functions in target cells (29–35). For example, antibacterial T6SS-secreted effector proteins with peptidoglycan amidase (cell wall hydrolysis) function, the Type VI amidase effector (Tae) proteins, have been identified in Burkholderia thailandensis (32), P. aeruginosa (31), and Serratia marcescens (30). These Tae proteins play a role in T6SS-mediated antibacterial killing activity and genes encoding four families of Tae protein have been widely identified in other bacteria with T6SSs (32). T6SS-secreted effector proteins which are not peptidoglycan hydrolases have also been reported, including Tse2 secreted by P. aeruginosa, which acts in the bacterial cytoplasm (31), and the VasX and TseL proteins secreted by the V. cholerae T6SS, which are suggested to target membrane lipids (29, 34, 35). In the case of antibacterial T6SSs, the secreting bacterial cells are protected from their own T6SS effector proteins by specific immunity proteins (29–32, 35). However, given the large number of T6SSs in different bacterial species and their apparent ability to secrete multiple substrates, experimentally identified T6-secreted effector proteins still remain surprisingly scarce.Here we report the identification of multiple T6SS-secreted effector proteins in S. marcescens. S. marcescens is an opportunistic pathogen, for example causing ocular infections, nosocomial septicemia and pneumonia (36). Previously, we have identified a T6SS in S. marcescens Db10, which targets and efficiently kills other bacterial cells and plays a role in antibacterial competition (37). We have recently demonstrated that this T6SS secretes two antibacterial effectors, the Tae4 homologs Ssp1 and Ssp2, with cognate immunity proteins Rap1a and Rap2a (30).In this work, we report the analysis of the T6SS-dependent secretome of S. marcescens by label-free quantitation (LFQ) mass spectrometry and describe the identification and characterization of four novel T6SS-secreted effector proteins. These were confirmed as antibacterial toxins and specific immunity proteins were identified. Additionally, this global secretomic analysis, in combination with genetic and phosphoproteomic analyses, demonstrated that a post-translational phosphorylation system influences the ability of the S. marcescens T6SS to secrete effector proteins. Although this system uses homologs of the P. aeruginosa PpkA, PppA and Fha components, the circumstances and impact of Fha phosphorylation were shown to vary between organisms.     

Calcium Is Essential for the Major Pseudopilin in the Type 2 Secretion System

The pseudopilus is a key feature of the type 2 secretion system (T2SS) and is made up of multiple pseudopilins that are similar in fold to the type 4 pilins. However, pilins have disulfide bridges, whereas the major pseudopilins of T2SS do not. A key question is therefore how the pseudopilins, and in particular, the most abundant major pseudopilin, GspG, obtain sufficient stability to perform their function. Crystal structures of Vibrio cholerae, Vibrio vulnificus, and enterohemorrhagic Escherichia coli (EHEC) GspG were elucidated, and all show a calcium ion bound at the same site. Conservation of the calcium ligands fully supports the suggestion that calcium ion binding by the major pseudopilin is essential for the T2SS. Functional studies of GspG with mutated calcium ion-coordinating ligands were performed to investigate this hypothesis and show that in vivo protease secretion by the T2SS is severely impaired. Taking all evidence together, this allows the conclusion that, in complete contrast to the situation in the type 4 pili system homologs, in the T2SS, the major protein component of the central pseudopilus is dependent on calcium ions for activity.In Gram-negative bacteria, the type 2 secretion system (T2SS)² is used for the secretion of several important proteins across the outer membrane (1). The T2SS is also called the terminal branch of the general secretory pathway (Gsp) (2) and, in Vibrio species, the extracellular protein secretion (Eps) apparatus (3). This sophisticated multiprotein machinery spans both the inner and the outer membrane of Gram-negative bacteria and contains 11–15 different proteins. The T2SS consists of three major subassemblies (4–9): (i) the outer membrane complex comprising mainly the crucial multisubunit secretin GspD; (ii) the pseudopilus, which consists of one major and several minor pseudopilins; and (iii) an inner membrane platform, containing the cytoplasmic secretion ATPase GspE and the membrane proteins GspL, GspM, GspC, and GspF.The pseudopilus is a key element of the T2SS that forms a helical fiber spanning the periplasm. The fiber is assembled from multiple subunits of the major pseudopilin GspG (4, 5, 10–14). The pseudopilus is thought to form a plug of the secretin pore in the outer membrane and/or to function as a piston during protein secretion. In recent years, studies of the T2SS pseudopilins led to structure determinations of all individual pseudopilins (13, 15–17). The recent structure of the helical ternary complex of GspK-GspI-GspJ suggested that these three minor pseudopilins form the tip of the pseudopilus (17). A crystal structure of GspG from Klebsiella oxytoca was in a previous study combined with electron microscopy data to arrive at a helical arrangement, with no evidence for special features, such as disulfide bridges, other covalent links, or metal-binding sites, for stabilizing this major pseudopilin or the pseudopilus (13).The pseudopilins of the T2SS share a common fold with the type 4 pilins (15–21). Pilins are proteins incorporated into pili, long appendages on the surface of bacteria forming thin, strong fibers with multiple functions (19, 21). Type 4 pilins and pseudopilins contain a prepilin leader sequence that is cleaved off by a prepilin peptidase, yielding mature protein (10, 11, 22). A distinct feature of the type 4 pilins is the occurrence of a disulfide bridge connecting β4 to a Cys in the so-called “D-region” near the C terminus (21). In a recent study (23) on the thin fibers of Gram-positive bacteria, isopeptide units appeared to be essential for providing these filaments sufficient cohesion and stability. A key question was therefore whether the major pseudopilin GspG also requires a special feature to obtain sufficient stability to perform its function.     

Splitting the BLOSUM Score into Numbers of Biological Significance

Mathematical tools developed in the context of Shannon information theory were used to analyze the meaning of the BLOSUM score, which was split into three components termed as the BLOSUM spectrum (or BLOSpectrum). These relate respectively to the sequence convergence (the stochastic similarity of the two protein sequences), to the background frequency divergence (typicality of the amino acid probability distribution in each sequence), and to the target frequency divergence (compliance of the amino acid variations between the two sequences to the protein model implicit in the BLOCKS database). This treatment sharpens the protein sequence comparison, providing a rationale for the biological significance of the obtained score, and helps to identify weakly related sequences. Moreover, the BLOSpectrum can guide the choice of the most appropriate scoring matrix, tailoring it to the evolutionary divergence associated with the two sequences, or indicate if a compositionally adjusted matrix could perform better.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29]     

Analysis of Free Energy Signals Arising from Nucleotide Hybridization Between rRNA and mRNA Sequences during Translation in Eubacteria

A decoding algorithm is tested that mechanistically models the progressive alignments that arise as the mRNA moves past the rRNA tail during translation elongation. Each of these alignments provides an opportunity for hybridization between the single-stranded, -terminal nucleotides of the 16S rRNA and the spatially accessible window of mRNA sequence, from which a free energy value can be calculated. Using this algorithm we show that a periodic, energetic pattern of frequency 1/3 is revealed. This periodic signal exists in the majority of coding regions of eubacterial genes, but not in the non-coding regions encoding the 16S and 23S rRNAs. Signal analysis reveals that the population of coding regions of each bacterial species has a mean phase that is correlated in a statistically significant way with species () content. These results suggest that the periodic signal could function as a synchronization signal for the maintenance of reading frame and that codon usage provides a mechanism for manipulation of signal phase.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]     

Global Impact of Salmonella Pathogenicity Island 2-secreted Effectors on the Host Phosphoproteome

During the late stages of infection, Salmonella secretes numerous effectors through a type III secretion system that is encoded within Salmonella pathogenicity island 2 (SPI2). Despite the importance of SPI2 as a major virulence factor leading to the systemic spread of the bacteria and diseases, a global view of its effects on host responses is still lacking. Here, we measured global impacts of SPI2 effectors on the host phosphorylation and protein expression levels in RAW264.7 and in HeLa cells, as macrophage and nonphagocytic models of infection. We observe that SPI2 effectors differentially modulate the host phosphoproteome and cellular processes (e.g. protein trafficking, cytoskeletal regulation, and immune signaling) in a host cell-dependent manner. Our unbiased approach reveals the involvement of many previously unrecognized proteins, including E3 ligases (HERC4, RanBP2, and RAD18), kinases (CDK, SIK3, and WNK1), and histones (H2B1F, H4, and H15), in late stages of Salmonella infection. Furthermore, from this phosphoproteome analysis and other quantitative screens, we identified HSP27 as a direct in vitro and in vivo molecular target of the only type III secreted kinase, SteC. Using biochemical and cell biological assays, we demonstrate that SteC phosphorylates multiple sites in HSP27 and induces actin rearrangement through this protein. Together, these results provide a broader landscape of host players contributing to specific processes/pathways mediated by SPI2 effectors than was previously appreciated.Type III secretion systems (T3SSs)¹ are specialized virulence factors in Gram-negative pathogens that play an important role in delivering effector proteins to host cells. Salmonella enterica employs two distinct T3SSs encoded in Salmonella pathogenicity islands 1 and 2 (SPI1 and SPI2), with numerous effectors encoded around the genome, including a small number in SPI1 and SPI2 (1). SPI1 T3SS effectors are required for the bacterial internalization by intestinal epithelial cells at early stages of infection after oral ingestion. Although Salmonella is subsequently taken up by intestinal macrophages via phagocytosis, SPI2 T3SS effectors function to promote intracellular replication. Part of the role of SPI2 effectors is to control the maturation of the membrane-enclosed, Salmonella-containing vacuole (SCV) where Salmonella survives and replicates, eventually leading to a systemic infection known as typhoid fever (2, 3).Approximately 30 effectors are known to be translocated by the SPI2 T3SS but the actions and targets of most of these effectors are largely unknown (1, 3, 4). A recent systematic study using a single mutant collection of SPI2 genes showed particular virulence factors (e.g. SpvB, SifA, and SteC) play a dominant role in replication within macrophages (5). It is known that SpvB induces cytotoxicity through its ADP-ribosyltransferase activity (6), and SifA is required for maturation of the SCV and the formation of Salmonella-induced filaments (7). SteC has been identified as the sole serine/threonine protein kinase encoded in the Salmonella genome (8), but the target substrates of this kinase within the host are not fully understood, although it has been demonstrated that SteC partially targets the MAP kinase MEK (9). Interestingly, SteC is capable of promoting assembly of an F-actin meshwork around the SCV; this is dependent on its kinase activity but does not require activation of signaling pathways through Rho-associated protein kinase (8), Cdc42, Rac, N-WASP, Scar/WAVE, and Arp2/3 (10). These host signaling proteins are the main targets of T3SS-secreted effectors from many pathogens, including the SPI1 system in Salmonella (11) and Shigella (12). Therefore, SteC is thought to manipulate actin in a unique way through phosphorylation of host protein target(s).Recent advances in high throughput measurements allow us to characterize host gene expression profiles (13) and host phosphoproteme dynamics (14) dependent on the presence of SPI1 effectors in an unbiased, comprehensive manner. However, although it is clear that SPI2 T3SS is a major virulence factor contributing to systemic infection, our knowledge of its effects on host responses is limited. In this study, we used a mass spectrometry (MS)-based quantitative proteomics approach and measured global host phosphorylation changes as well as proteome abundance altered by SPI2 effectors. Furthermore, we explore a molecular target of SPI2 effector kinase SteC by integrating the phosphoproteomics data and other quantitative proteomics screens.     

Algorithms for Finding Small Attractors in Boolean Networks

A Boolean network is a model used to study the interactions between different genes in genetic regulatory networks. In this paper, we present several algorithms using gene ordering and feedback vertex sets to identify singleton attractors and small attractors in Boolean networks. We analyze the average case time complexities of some of the proposed algorithms. For instance, it is shown that the outdegree-based ordering algorithm for finding singleton attractors works in time for , which is much faster than the naive time algorithm, where is the number of genes and is the maximum indegree. We performed extensive computational experiments on these algorithms, which resulted in good agreement with theoretical results. In contrast, we give a simple and complete proof for showing that finding an attractor with the shortest period is NP-hard.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]