Molecular mechanism governing ratio-dependent transcription regulation in the ccdAB operon.

Bacteria can become transiently tolerant to several classes of antibiotics. This phenomenon known as persistence is regulated by small genetic elements called toxin-antitoxin modules with intricate yet often poorly understood self-regulatory features. Here, we describe the structures of molecular complexes and interactions that drive the transcription regulation of the ccdAB toxin-antitoxin module. Low specificity and affinity of the antitoxin CcdA2 for individual binding sites on the operator are enhanced by the toxin CcdB2, which bridges the CcdA2 dimers. This results in a unique extended repressing complex that spirals around the operator and presents equally spaced DNA binding sites. The multivalency of binding sites induces a digital on-off switch for transcription, regulated by the toxin:antitoxin ratio. The ratio at which this switch occurs is modulated by non-specific interactions with the excess chromosomal DNA. Altogether, we present the molecular mechanisms underlying the ratio-dependent transcriptional regulation of the ccdAB operon.

Modulation of Coiled-Coil Dimer Stability through Surface Residues while Preserving Pairing Specificity.

The coiled-coil dimer is a widespread protein structural motif and, due to its designability, represents an attractive building block for assembling modular nanostructures. The specificity of coiled-coil dimer pairing is mainly based on hydrophobic and electrostatic interactions between residues at positions a, d, e, and g of the heptad repeat. Binding affinity, on the other hand, can also be affected by surface residues that face away from the dimerization interface. Here we show how design of the local helical propensity of interacting peptides can be used to tune the stabilities of coiled-coil dimers over a wide range. By designing intramolecular charge pairs, regions of high local helical propensity can be engineered to form trigger sequences, and dimer stability is adjusted without changing the peptide length or any of the directly interacting residues. This general principle is demonstrated by a change in thermal stability by more than 30 °C as a result of only two mutations outside the binding interface. The same approach was successfully used to modulate the stabilities in an orthogonal set of coiled-coils without affecting their binding preferences. The stability effects of local helical propensity and peptide charge are well described by a simple linear model, which should help improve current coiled-coil stability prediction algorithms. Our findings enable tuning the stabilities of coiled-coil-based building modules match a diverse range of applications in synthetic biology and nanomaterials.

Multiple driving forces required for efficient secretion of autotransporter virulence proteins.

Autotransporter (AT) proteins are a broad class of virulence proteins from Gram-negative bacterial pathogens that require their own C-terminal transmembrane domain to translocate their N-terminal passenger across the bacterial outer membrane (OM). But given the unavailability of ATP or a proton gradient across the OM, it is unknown what energy source(s) drives this process. Here we used a combination of computational and experimental approaches to quantitatively compare proposed AT OM translocation mechanisms. We show directly for the first time that when translocation was blocked an AT passenger remained unfolded in the periplasm. We demonstrate that AT secretion is a kinetically controlled, non-equilibrium process coupled to folding of the passenger and propose a model connecting passenger conformation to secretion kinetics. These results reconcile seemingly contradictory reports regarding the importance of passenger folding as a driving force for OM translocation but also reveal that another energy source is required to initiate translocation.

Of linkers and autochaperones: an unambiguous nomenclature to identify common and uncommon themes for autotransporter secretion.

Autotransporter (AT) proteins provide a diverse array of important virulence functions to Gram-negative bacterial pathogens, and have also been adapted for protein surface display applications. The 'autotransporter' moniker refers to early models that depicted these proteins facilitating their own translocation across the bacterial outer membrane. Although translocation is less autonomous than originally proposed, AT protein segments upstream of the C-terminal transmembrane ß-barrel have nevertheless consistently been found to contribute to efficient translocation and/or folding of the N-terminal virulence region (the 'passenger'). However, defining the precise secretion functions of these AT regions has been complicated by the use of multiple overlapping and ambiguous terms to define AT sequence, structural, and functional features, including 'autochaperone', 'linker' and 'junction'. Moreover, the precise definitions and boundaries of these features vary among ATs and even among research groups, leading to an overall murky picture of the contributions of specific features to translocation. Here we propose a unified, unambiguous nomenclature for AT structural, functional and conserved sequence features, based on explicit criteria. Applied to 16 well-studied AT proteins, this nomenclature reveals new commonalities for translocation but also highlights that the autochaperone function is less closely associated with a conserved sequence element than previously believed.

Integrated omics approaches provide strategies for rapid erythromycin yield increase in Saccharopolyspora erythraea.

BACKGROUND: Omics approaches have significantly increased our understanding of biological systems. However, they have had limited success in explaining the dramatically increased productivity of commercially important natural products by industrial high-producing strains, such as the erythromycin-producing actinomycete Saccharopolyspora erythraea. Further yield increase is of great importance but requires a better understanding of the underlying physiological processes. RESULTS: To reveal the mechanisms related to erythromycin yield increase, we have undertaken an integrated study of the genomic, transcriptomic, and proteomic differences between the wild type strain NRRL2338 (WT) and the industrial high-producing strain ABE1441 (HP) of S. erythraea at multiple time points of a simulated industrial bioprocess. 165 observed mutations lead to differences in gene expression profiles and protein abundance between the two strains, which were most prominent in the initial stages of erythromycin production. Enzymes involved in erythromycin biosynthesis, metabolism of branched chain amino acids and proteolysis were most strongly upregulated in the HP strain. Interestingly, genes related to TCA cycle and DNA-repair were downregulated. Additionally, comprehensive data analysis uncovered significant correlations in expression profiles of the erythromycin-biosynthetic genes, other biosynthetic gene clusters and previously unidentified putative regulatory genes. Based on this information, we demonstrated that overexpression of several genes involved in amino acid metabolism can contribute to increased yield of erythromycin, confirming the validity of our systems biology approach. CONCLUSIONS: Our comprehensive omics approach, carried out in industrially relevant conditions, enabled the identification of key pathways affecting erythromycin yield and suggests strategies for rapid increase in the production of secondary metabolites in industrial environment.

Designed Protein Origami.

Proteins are highly perfected natural molecular machines, owing their properties to the complex tertiary structures with precise spatial positioning of different functional groups that have been honed through millennia of evolutionary selection. The prospects of designing new molecular machines and structural scaffolds beyond the limits of natural proteins make design of new protein folds a very attractive prospect. However, de novo design of new protein folds based on optimization of multiple cooperative interactions is very demanding. As a new alternative approach to design new protein folds unseen in nature, folds can be designed as a mathematical graph, by the self-assembly of interacting polypeptide modules within the single chain. Orthogonal coiled-coil dimers seem like an ideal building module due to their shape, adjustable length, and above all their designability. Similar to the approach of DNA nanotechnology, where complex tertiary structures are designed from complementary nucleotide segments, a polypeptide chain composed of a precisely specified sequence of coiled-coil forming segments can be designed to self-assemble into polyhedral scaffolds. This modular approach encompasses long-range interactions that define complex tertiary structures. We envision that by expansion of the toolkit of building blocks and design strategies of the folding pathways protein origami technology will be able to construct diverse molecular machines.

Energetic basis of uncoupling folding from binding for an intrinsically disordered protein.

Intrinsically disordered proteins (IDPs) are proteins that lack a unique three-dimensional structure in their native state. Many have, however, been found to fold into a defined structure when interacting with specific binding partners. The energetic implications of such behavior have been widely discussed, yet experimental thermodynamic data is scarce. We present here a thorough thermodynamic and structural study of the binding of an IDP (antitoxin CcdA) to its molecular target (gyrase poison CcdB). We show that the binding-coupled folding of CcdA is driven by a combination of specific intramolecular interactions that favor the final folded structure and a less specific set of intermolecular contacts that provide a desolvation entropy boost. The folded structure of the bound IDP appears to be defined largely by its own amino acid sequence, with the binding partner functioning more as a facilitator than a mold to conform to. On the other hand, specific intermolecular interactions do increase the binding affinity up to the picomolar range. Overall, this study shows how an IDP can achieve very strong and structurally well-defined binding and it provides significant insight into the molecular forces that enable such binding properties.

Differences in Unfolding Energetics of CcdB Toxins From V. fischeri and E. coli.

Ccd system is a toxin-antitoxin module (operon) located on plasmids and chromosomes of bacteria. CcdBF encoded by ccd operon located on Escherichia coli plasmid F and CcdBVfi encoded by ccd operon located on Vibrio fischeri chromosome are members of the CcdB family of toxins. Native CcdBs are dimers that bind to gyrase-DNA complexes and inhibit DNA transcription and replication. While thermodynamic stability and unfolding characteristics of the plasmidic CcdBF in denaturant solutions are reported in detail, the corresponding information on the chromosomal CcdBVfi is rather scarce. Therefore, we studied urea-induced unfolding of CcdBVfi at various temperatures and protein concentrations by circular dichroism spectroscopy. Global model analysis of spectroscopic data suggests that CcdBVfi dimer unfolds to the corresponding monomeric components in a reversible two-state manner. Results reveal that at physiological temperatures CcdBVfi exhibits lower thermodynamic stability compared to CcdBF. At high urea concentrations CcdBVfi, similarly to CcdBF, retains a significant amount of secondary structure. Differences in thermodynamic parameters of CcdBVfi and CcdBF unfolding can reasonably be explained by the differences in their structural features.

Designed folding pathway of modular coiled-coil-based proteins.

Natural proteins are characterised by a complex folding pathway defined uniquely for each fold. Designed coiled-coil protein origami (CCPO) cages are distinct from natural compact proteins, since their fold is prescribed by discrete long-range interactions between orthogonal pairwise-interacting coiled-coil (CC) modules within a single polypeptide chain. Here, we demonstrate that CCPO proteins fold in a stepwise sequential pathway. Molecular dynamics simulations and stopped-flow Förster resonance energy transfer (FRET) measurements reveal that CCPO folding is dominated by the effective intra-chain distance between CC modules in the primary sequence and subsequent folding intermediates, allowing identical CC modules to be employed for multiple cage edges and thus relaxing CCPO cage design requirements. The number of orthogonal modules required for constructing a CCPO tetrahedron can be reduced from six to as little as three different CC modules. The stepwise modular nature of the folding pathway offers insights into the folding of tandem repeat proteins and can be exploited for the design of modular protein structures based on a given set of orthogonal modules.

What drives the binding of minor groove-directed ligands to DNA hairpins?

Understanding the molecular basis of ligand-DNA-binding events, and its application to the rational design of novel drugs, requires knowledge of the structural features and forces that drive the corresponding recognition processes. Existing structural evidence on DNA complexation with classical minor groove-directed ligands and the corresponding studies of binding energetics have suggested that this type of binding can be described as a rigid-body association. In contrast, we show here that the binding-coupled conformational changes may be crucial for the interpretation of DNA (hairpin) association with a classical minor groove binder (netropsin). We found that, although the hairpin form is the only accessible state of ligand-free DNA, its association with the ligand may lead to its transition into a duplex conformation. It appears that formation of the fully ligated duplex from the ligand-free hairpin, occurring via two pathways, is enthalpically driven and accompanied by a significant contribution of the hydrophobic effect. Our thermodynamic and structure-based analysis, together with corresponding theoretical studies, shows that none of the predicted binding steps can be considered as a rigid-body association. In this light we anticipate our thermodynamic approach to be the basis of more sophisticated nucleic acid recognition mechanisms, which take into account the dynamic nature of both the nucleic acid and the ligand molecule.

Design of coiled-coil protein-origami cages that self-assemble in vitro and in vivo.

Polypeptides and polynucleotides are natural programmable biopolymers that can self-assemble into complex tertiary structures. We describe a system analogous to designed DNA nanostructures in which protein coiled-coil (CC) dimers serve as building blocks for modular de novo design of polyhedral protein cages that efficiently self-assemble in vitro and in vivo. We produced and characterized >20 single-chain protein cages in three shapes-tetrahedron, four-sided pyramid, and triangular prism-with the largest containing >700 amino-acid residues and measuring 11 nm in diameter. Their stability and folding kinetics were similar to those of natural proteins. Solution small-angle X-ray scattering (SAXS), electron microscopy (EM), and biophysical analysis confirmed agreement of the expressed structures with the designs. We also demonstrated self-assembly of a tetrahedral structure in bacteria, mammalian cells, and mice without evidence of inflammation. A semi-automated computational design platform and a toolbox of CC building modules are provided to enable the design of protein cages in any polyhedral shape.

Model-based thermodynamic analysis of reversible unfolding processes.

Folding and unfolding of many biological macromolecules can be characterized thermodynamically, yielding a wealth of information about the stability of various conformations and the interactions that hold them together. The relevant thermodynamic parameters are usually obtained by employing spectroscopic and/or calorimetric techniques and fitting an appropriate thermodynamic model to the experimental data. In this work, we compare the traditional approach of fitting the thermodynamic model to experimental data obtained from each experiment individually and the global approach of simultaneously fitting the model to all available data from different experiments. On the basis of several specific examples of DNA and protein unfolding, we demonstrate that piece-by-piece verification of the proposed thermodynamic model using individual fits is frequently inappropriate and can result in an incorrect mechanism and thermodynamics of the studied unfolding process. We find that while the two approaches are complementary in some aspects of analysis global fitting is essential for the appropriate selection and critical evaluation of the model mechanism. Only a good global fit thus gives us confidence that the obtained thermodynamic parameters of unfolding have real physical meaning.

Energetics of MazG unfolding in correlation with its structural features.

MazG is a homodimeric alpha-helical protein that belongs to the superfamily of all-alpha NTP pyrophosphatases. Its function has been connected to the regulation of the toxin-antitoxin module mazEF, implicated in programmed growth arrest/cell death of Escherichia coli cells under conditions of amino acid starvation. The goal of the first detailed biophysical study of a member of the all-alpha NTP pyrophosphatase superfamily, presented here, is to improve molecular understanding of the unfolding of this type of proteins. Thermal unfolding of MazG monitored by differential scanning calorimetry, circular dichroism spectroscopy, and fluorimetry at neutral pH in the presence of a reducing agent (dithiothreitol) can be successfully described as a reversible four-state transition between a dimeric native state, two dimeric intermediate states, and a monomeric denatured state. The first intermediate state appears to have a structure similar to that of the native state while the final thermally denatured monomeric state is not fully unfolded and contains a significant fraction of residual alpha-helical structure. In the absence of dithiothreitol, disulfide cross-linking causes misfolding of MazG that appears to be responsible for the formation of multimeric aggregates. MazG is most stable at pH 7-8, while at pH <6, it exists in a molten-globule-like state. The thermodynamic parameters characterizing each step of MazG denaturation transition obtained by global fitting of the four-state model to differential scanning calorimetry, circular dichroism, and fluorimetry temperature profiles are in agreement with the observed structural characteristics of the MazG conformational states and their assumed functional role.