Genetic analysis of the gas vesicle gene cluster in haloarchaea

Gas vesicles are buoyant intracellular organelles composed of a rigid proteinaceous membrane surrounding a gas-filled space. Many prokaryotic microorganisms including photosynthetic and heterotrophic bacteria and halophilic and methanogenic archaea produce gas vesicles. In the majority of cases gas vesicles function in providing vertical motility to cells in aquatic environments. Recent genetic analysis of several halophilic archaeal (haloarchaeal) species has shown that a large cluster of genes [gvpMLKJIHGFEDACN(O)] is necessary for gas vesicle formation.     

Mutations in the major gas vesicle protein GvpA and impacts on gas vesicle formation in Haloferax volcanii

Gas vesicles are proteinaceous, gas‐filled nanostructures produced by some bacteria and archaea. The hydrophobic major structural protein GvpA forms the ribbed gas vesicle wall. An in‐silico 3D‐model of GvpA of the predicted coil‐α1‐β1‐β2‐α2‐coil structure is available and implies that the two β‐chains constitute the hydrophobic interior surface of the gas vesicle wall. To test the importance of individual amino acids in GvpA we performed 85 single substitutions and analyzed these variants in Haloferax volcanii ΔA + A_mut transformants for their ability to form gas vesicles (Vac⁺ phenotype). In most cases, an alanine substitution of a non‐polar residue did not abolish gas vesicle formation, but the replacement of single non‐polar by charged residues in β1 or β2 resulted in Vac^– transformants. A replacement of residues near the β‐turn altered the spindle‐shape to a cylindrical morphology of the gas vesicles. Vac^– transformants were also obtained with alanine substitutions of charged residues of helix α1 suggesting that these amino acids form salt‐bridges with another GvpA monomer. In helix α2, only the alanine substitution of His53 or Tyr54, led to Vac^– transformants, whereas most other substitutions had no effect. We discuss our results in respect to the GvpA structure and data available from solid‐state NMR.     

Effect of an overproduction of accessory Gvp proteins on gas vesicle formation in Haloferax volcanii

Gas vesicle formation in haloarchaea requires the expression of the p-vac region consisting of 14 genes, gvpACNO and gvpDEFGHIJKLM. Expression of gvpFGHIJKLM leads to essential accessory proteins formed in minor amounts. An overexpression of gvpG, gvpH or gvpM in addition to p-vac inhibited gas vesicle formation, whereas large amounts of all other Gvp proteins did not disturb the synthesis. The unbalanced expression and in particular an aggregation of the overproduced Gvp with other accessory Gvp derived from p-vac could be a reason for the inhibition. Western analyses demonstrated that the hydrophobic GvpM (and GvpJ) indeed form multimers. Fluorescent dots of GvpM–GFP were seen in cells in vivo underlining an aggregation of GvpM. In search for proteins neutralizing the inhibitory effect in case of GvpM, p-vac +pGM^ex, +pHM^ex, +pJM^ex, and +pLM^ex transformants were constructed. The inhibitory effect of GvpM on gas vesicle formation was suppressed by GvpH, GvpJ or GvpL, but not by GvpG. Western analyses demonstrated that pHM^ex and pJM^ex transformants contained additional larger protein bands when probed with an antiserum raised against GvpH or GvpJ, implying interactions. The balanced amount of GvpM–GvpH and GvpM–GvpJ appears to be important during gas vesicle genesis.     

Identification of protein interaction partners and protein-protein interaction sites

Rigid-body docking has become quite successful in predicting the correct conformations of binary protein complexes, at least when the constituent proteins do not undergo large conformational changes upon binding. However, determining whether two given proteins interact is a more difficult problem. Successful docking procedures often give equally good scores for proteins that do not interact experimentally. This is the case for the multiple minimization approach we use here. An analysis of the results where all proteins within a set are docked with all other proteins (complete cross-docking) shows that the predictions can be greatly improved if the location of the correct binding interface on each protein is known, since the experimental complexes are much more likely to bring these two interfaces into contact, at the same time as yielding good interaction energy scores. While various methods exist for identifying binding interfaces, it is shown that simply studying the interaction of all potential protein pairs within a data set can itself help to identify the correct interfaces.     

The interaction of versican with its binding partners

Versican belongs to the family of the large aggregating chondroitin sulfate proteoglycans located primarily within the extracellular matrix （ECM）. Versican, like other members of its family, has unique N- and C-terminal globular regions, each with multiple motifs. A large glycosaminoglycan-binding region lies between them. This review will begin by outlining these structures, in the context of ECM proteoglycans. The diverse binding partners afforded to versican by virtue of its modular design will then be examined. These include ECM components, such as hyaluronan, type Ⅰ collagen, tenascin-R, fibulin-1, and -2, fibrillin-1, fibronectin, P- and L-selectins, and chemokines. Versican also binds to the cell surface proteins CD44, integrin β1, epidermal growth factor receptor, and P-selectin glycoprotein ligand-1. These multiple interactors play important roles in cell behaviour, and the roles of versican in modulating such processes are discussed.     

The Escherichia coli FtsK functional domains involved in its interaction with its divisome protein partners

FtsK is a multifunctional protein involved in both cell division and chromosome segregation. As far as its role in cell division is concerned, FtsK is among the first divisome proteins that localizes at mid-cell, after FtsZ, FtsA and ZipA, and is required for the recruitment of the other divisome components. The ability of FtsK to interact with several cell division proteins, namely FtsZ, FtsQ, FtsL and FtsI, by the two-hybrid assay was already shown by our group. In this work, we describe the identification of the protein domain(s) involved in the interaction with the cell division partner proteins. The biological role of some interactions is also discussed.     

Mechanisms of COPII vesicle formation and protein sorting

The evolutionarily conserved coat protein complex II (COPII) generates transport vesicles that mediate protein transport from the endoplasmic reticulum (ER). COPII coat is responsible for direct capture of cargo proteins and for the physical deformation of the ER membrane that drives the COPII vesicle formation. In addition to coat proteins, recent data have indicated that the Ras-like small GTPase Sar1 plays multiple roles, such as COPII coat recruitment, cargo sorting, and completion of the final fission. In the present review, we summarize current knowledge of COPII-mediated vesicle formation from the ER, as well as highlighting non-canonical roles of COPII components.     

Structural analysis of interactions for complex formation between Ferredoxin-NADP+ reductase and its protein partners

The three-dimensional structures of K72E, K75R, K75S, K75Q, and K75E Anabaena Ferredoxin-NADP+ reductase (FNR) mutants have been solved, and particular structural details of these mutants have been used to assess the role played by residues 72 and 75 in optimal complex formation and electron transfer (ET) between FNR and its protein redox partners Ferredoxin (Fd) and Flavodoxin (Fld). Additionally, because there is no structural information available on the interaction between FNR and Fld, a model for the FNR:Fld complex has also been produced based on the previously reported crystal structures and on that of the rat Cytochrome P450 reductase (CPR), onto which FNR and Fld have been structurally aligned, and those reported for the Anabaena and maize FNR:Fd complexes. The model suggests putative electrostatic and hydrophobic interactions between residues on the FNR and Fld surfaces at the complex interface and provides an adequate orientation and distance between the FAD and FMN redox centers for efficient ET without the presence of any other molecule as electron carrier. Thus, the models now available for the FNR:Fd and FNR:Fld interactions and the structures presented here for the mutants at K72 and K75 in Anabaena FNR have been evaluated in light of previous biochemical data. These structures confirm the key participation of residue K75 and K72 in complex formation with both Fd and Fld. The drastic effect in FNR activity produced by replacement of K75 by Glu in the K75E FNR variant is explained not only by the observed changes in the charge distribution on the surface of the K75E FNR mutant, but also by the formation of a salt bridge interaction between E75 and K72 that simultaneously "neutralizes" two essential positive charged side chains for Fld/Fd recognition.     

Various mechanisms of flagella helicity formation in haloarchaea

The genome of a halophilic archaeon Haloarcula marismortui carries two flagellin genes, flaA2 and flaB. Previously, we demonstrated that the helical flagellar filaments of H. marismortui were composed primarily of flagellin FlaB molecules, while the other flagellin (FlaA2) was present in minor amounts. Mutant H. marismortui strains with either flagellin gene inactivated were obtained. It was shown that inactivation of the flaA2 gene did not lead to changes in cell motility and helicity of the filaments, while the cells with inactivated flaB lost their motility and flagella synthesis was stopped. Two FlaB flagellin forms having different sensitivities to proteolysis were found in the flagellar filament structure. It is speculated that these flagellin forms may ensure the helical filament formation. Moreover, the flagella of a psychrotrophic haloarchaeon Halorubrum lacusprofundi were isolated and characterized for the first time. H. lacusprofundi filaments were helical and exhibited morphological polymorphism, although the genome contained a single flagellin gene. These results suggest that the mechanisms of flagellar helicity may differ in different halophilic archaea, and sometimes the presence of two flagellin genes, in contrast to Halobacterium salinarum, is not necessary for the formation of a functional helical flagellum.     

Conformational changes of coat proteins during vesicle formation

In coated vesicle formation, coat protein recruitment needs to be spatially and temporally controlled. The coating process involves conformational changes of the coat protein complexes that activate them for interaction with cargo or machinery components and coat polymerization. Here we discuss mechanisms that have emerged recently from studies of the clathrin adaptor and the COPI systems.     

Modeling of the major gas vesicle protein, GvpA: from protein sequence to vesicle wall structure

The structure and assembly process of gas vesicles have received significant attention in recent decades, although relatively little is still known. This work combines state-of-the-art computational methods to develop a model for the major gas vesicle protein, GvpA, and explore its structure within the assembled vesicle. Elucidating this protein's structure has been challenging due to its adherent and aggregative nature, which has so far precluded in-depth biochemical analyses. Moreover, GvpA has extremely low similarity with any known protein structure, which renders homology modeling methods ineffective. Thus, alternate approaches were used to model its tertiary structure. Starting with the sequence from haloarchaeon Halobacterium sp. NRC-1, we performed ab initio modeling and threading to acquire a multitude of structure decoys, which were equilibrated and ranked using molecular dynamics and mechanics, respectively. The highest ranked predictions exhibited an α-β-β-α secondary structure in agreement with earlier experimental findings, as well as with our own secondary structure predictions. Afterwards, GvpA subunits were docked in a quasi-periodic arrangement to investigate the assembly of the vesicle wall and to conduct simulations of contact-mode atomic force microscopy imaging, which allowed us to reconcile the structure predictions with the available experimental data. Finally, the GvpA structure for two representative organisms, Anabaena flos-aquae and Calothrix sp. PCC 7601, was also predicted, which reproduced the major features of our GvpA model, supporting the expectation that homologous GvpA sequences synthesized by different organisms should exhibit similar structures.     

Conformational dynamics of capping protein and interaction partners: simulation studies

Capping protein (CP) is important for the regulation of actin polymerization. CP binds to the barbed end of the actin filament and prevents actin polymerization. This interaction is modulated through competitive binding by regulatory proteins such as myotrophin (V-1) and the capping protein interacting (CPI) motif from CARMIL. The binding site of myotrophin overlaps with the region of CP that binds to the barbed end of actin filament, whereas CPI binds at a distant site. The binding of CPI to the myotrophin-CP complex dissociates myotrophin from CP. Detailed multicopy molecular dynamics simulations suggest that the binding of CPI shifts the conformational equilibria of CP away from states that favor myotrophin binding. This shift is underpinned by allosteric effects where CPI inhibits CP through suppression of flexibility and disruption of concerted motions that appear to mediate myotrophin binding. Accompanying these effects are changes in electrostatic interactions, notably those involving residue K142β, which appears to play a critical role in regulating flexibility. In addition, accessibility of the site on CP for binding the key hydrophobic residue W8 of myotrophin is modulated by CPI. These results provide insights into the modulation of CP by CPI and myotrophin and indicate the mechanism by which CPI drives the dissociation of the myotrophin-CP complex.     

Towards the prediction of protein interaction partners using physical docking

Deciphering the whole network of protein interactions for a given proteome (‘interactome’) is the goal of many experimental and computational efforts in Systems Biology. Separately the prediction of the structure of protein complexes by docking methods is a well‐established scientific area. To date, docking programs have not been used to predict interaction partners. We provide a proof of principle for such an approach. Using a set of protein complexes representing known interactors in their unbound form, we show that a standard docking program can distinguish the true interactors from a background of 922 non‐redundant potential interactors. We additionally show that true interactions can be distinguished from non‐likely interacting proteins within the same structural family. Our approach may be put in the context of the proposed ‘funnel‐energy model’; the docking algorithm may not find the native complex, but it distinguishes binding partners because of the higher probability of favourable models compared with a collection of non‐binders. The potential exists to develop this proof of principle into new approaches for predicting interaction partners and reconstructing biological networks.     

Communication of cyanobacteria with plant partners during association formation

Data are presented on the physiological diagnostics of cyanobacterial communication with higher plants in natural symbioses (plant syncyanoses) and in model associations, as well as on the interaction of the partners without spatial integration. Emphasis is placed on changes in cyanobacterial features important for symbiogenesis. The multicomponent structure and the possible nature of the factors that enable partner communications are discussed with hormogonia formation and taxis as an example.     

Communication of cyanobacteria with plant partners during association formation

Data are presented on the physiological diagnostics of cyanobacterial communication with higher plants in natural symbioses (plant syncyanoses) and in model associations, as well as on the interaction of the partners without spatial integration. Emphasis is placed on changes in cyanobacterial features important for symbiogenesis. The multicomponent composition and the possible nature of the factors that enable partner communications are discussed with hormogonia formation and taxis as an example.     

The group A Streptococcus accessory protein RocA: regulatory activity,interacting partners and influence on disease potential

The group A Streptococcus (GAS) causes diseases that range from mild (e.g. pharyngitis) to severely invasive (e.g. necrotizing fasciitis). Strain- and serotype-specific differences influence the ability of isolates to cause individual diseases. At the center of this variability is the CovR/S two-component system and the accessory protein RocA. Through incompletely defined mechanisms, CovR/S and RocA repress the expression of more than a dozen immunomodulatory virulence factors. Alleviation of this repression is selected for during invasive infections, leading to the recovery of covR, covS or rocA mutant strains. Here, we investigated how RocA promotes CovR/S activity, identifying that RocA is a pseudokinase that interacts with CovS. Disruption of CovS kinase or phosphatase activities abolishes RocA function, consistent with RocA acting through the modulation of CovS activity. We also identified, in conflict with a previous study, that the RocA regulon includes the secreted protease-encoding gene speB. Finally, we discovered an inverse correlation between the virulence of wild-type, rocA mutant, covS mutant and covR mutant strains during invasive infection and their fitness in an ex vivo upper respiratory tract model. Our data inform on mechanisms that control GAS disease potential and provide an explanation for observed strain- and serotype-specific variability in RocA function.