Structural and biochemical characterization of cauliflower mosaic virus reverse transcriptase.

Reverse transcriptases (RTs) are enzymes with DNA polymerase and RNase H activities. They convert ssRNA into dsDNA and are key enzymes for the replication of retroviruses and retroelements. Caulimoviridae is a major family of plant-infecting viruses. Caulimoviruses have a circular dsDNA genome that is replicated by reverse transcription, but in contrast to retroviruses, they lack integrase. Caulimoviruses are related to Ty3 retroelements. Ty3 RT has been extensively studied structurally and biochemically, but corresponding information for caulimoviral RTs is unavailable. In the present study, we report the first crystal structure of cauliflower mosaic virus (CaMV) RT in complex with a duplex made of RNA and DNA strands (RNA/DNA hybrid). CaMV RT forms a monomeric complex with the hybrid, unlike Ty3 RT, which does so as a dimer. Results of the RNA-dependent DNA polymerase and DNA-dependent DNA polymerase activity assays showed that individual CaMV RT molecules are able to perform full polymerase functions. However, our analyses showed that an additional CaMV RT molecule needs to transiently associate with a polymerase-competent RT molecule to execute RNase H cuts of the RNA strand. Collectively, our results provide details into the structure and function of CaMV RT and describe how the enzyme compares to other related RTs.

Structures of Substrate Complexes of Foamy Viral Protease-Reverse Transcriptase.

Reverse transcriptases (RTs) use their DNA polymerase and RNase H activities to catalyze the conversion of single-stranded RNA to double-stranded DNA (dsDNA), a crucial process for the replication of retroviruses. Foamy viruses (FVs) possess a unique RT, which is a fusion with the protease (PR) domain. The mechanism of substrate binding by this enzyme has been unknown. Here, we report a crystal structure of monomeric full-length marmoset FV (MFV) PR-RT in complex with an RNA/DNA hybrid substrate. We also describe a structure of MFV PR-RT with an RNase H deletion in complex with a dsDNA substrate in which the enzyme forms an asymmetric homodimer. Cryo-electron microscopy reconstruction of the full-length MFV PR-RT-dsDNA complex confirmed the dimeric architecture. These findings represent the first structural description of nucleic acid binding by a foamy viral RT and demonstrate its ability to change its oligomeric state depending on the type of bound nucleic acid. IMPORTANCE Reverse transcriptases (RTs) are intriguing enzymes converting single-stranded RNA to dsDNA. Their activity is essential for retroviruses, which are divided into two subfamilies differing significantly in their life cycles: Orthoretrovirinae and Spumaretrovirinae. The latter family is much more ancient and comprises five genera. A unique feature of foamy viral RTs is that they contain N-terminal protease (PR) domains, which are not present in orthoretroviral enzymes. So far, no structural information for full-length foamy viral PR-RT interacting with nucleic substrates has been reported. Here, we present crystal and cryo-electron microscopy structures of marmoset foamy virus (MFV) PR-RT. These structures revealed the mode of binding of RNA/DNA and dsDNA substrates. Moreover, unexpectedly, the structures and biochemical data showed that foamy viral PR-RT can adopt both a monomeric configuration, which is observed in our structures in the presence of an RNA/DNA hybrid, and an asymmetric dimer arrangement, which we observed in the presence of dsDNA.

The Structural Basis of Transcription: 10†Years After the Nobel Prize in Chemistry.

Transcription is the first step in the expression of genetic information in all living cells. The regulation of transcription underlies cell differentiation, organism development, and the responses of living systems to changes in the environment. During transcription, the enzyme RNA polymerase uses DNA as a template to synthesize a complementary RNA copy from a gene. Herein, we summarize the progress in our understanding of the structural basis of eukaryotic gene transcription that has been made in the ten years since the Nobel Prize in Chemistry was given to Roger Kornberg in 2006. The basis for transcription initiation and RNA chain elongation is emerging, but the intricate mechanisms of transcription regulation remain to be elucidated. The field has also developed hybrid methods for structural biology that combine several techniques to determine the three-dimensional architecture of large and transient macromolecular assemblies.

NuProPlot: nucleic acid and protein interaction analysis and plotting program.

Growing numbers of protein and nucleic acid complex structures are being determined and deposited in the Protein Data Bank and the Nucleic Acid Database. With the increasing complexity of these structures, it is challenging to analyse and visualize the three-dimensional interactions. The currently available programs for such analysis and visualization are limited in their applications. They can only analyse a subset of protein-nucleic acid complexes and require multiple iterations before obtaining plots that are suitable for presentation. An interactive web-based program, NuProPlot (http://www.nuproplot.com), has been developed which can automatically identify hydrogen, electrostatic and van der Waals interactions between proteins and nucleic acids and generate a plot showing all of the interactions. Protein-DNA and protein-RNA interactions can be visualized in simple two-dimensional schematics. Interactive schematic drawing options allow selection of the plotted area and repositioning of the individual interactions for better legibility. NuProPlot is a fully automated and user-friendly program providing various custom options. NuProPlot represents a greatly improved option for analysis and presentation of protein-nucleic acid interactions.

Novel complex MAD phasing and RNase H structural insights using selenium oligonucleotides.

The crystal structures of protein-nucleic acid complexes are commonly determined using selenium-derivatized proteins via MAD or SAD phasing. Here, the first protein-nucleic acid complex structure determined using selenium-derivatized nucleic acids is reported. The RNase H-RNA/DNA complex is used as an example to demonstrate the proof of principle. The high-resolution crystal structure indicates that this selenium replacement results in a local subtle unwinding of the RNA/DNA substrate duplex, thereby shifting the RNA scissile phosphate closer to the transition state of the enzyme-catalyzed reaction. It was also observed that the scissile phosphate forms a hydrogen bond to the water nucleophile and helps to position the water molecule in the structure. Consistently, it was discovered that the substitution of a single O atom by a Se atom in a guide DNA sequence can largely accelerate RNase H catalysis. These structural and catalytic studies shed new light on the guide-dependent RNA cleavage.

Computational insights into intrinsically disordered regions in protein-nucleic acid complexes.

We study transitions in intrinsically disordered regions (IDRs) upon complex formation, utilizing X-ray-solved structural dataset of protein-DNA and protein-RNA complexes, along with their available unbound protein forms. The identified IDRs are categorized into three classes: Disordered-to-Ordered (D-O), Disordered-to-Partial Ordered (D-PO) and Disordered-to-Disordered (D-D) after comparing them in unbound and complex forms. In the D-O class, IDRs form secondary structures like coils, helices, and strands upon binding to nucleic acids. Though a majority of these IDRs are present at the surface of the complexes, a significant number of IDRs are also observed at the interfaces and are involved in polar interactions. The hydrogen bonds made by the interface IDRs (B_IDRs) with phosphates and bases of nucleic acids are comparatively more than those formed with sugars. B_IDRs form more H-bonds with the ribose in protein-RNA than with the deoxyribose in protein-DNA. Among the B_IDRs, Arg and Lys prefer to interact with the major and minor grooves of DNA and RNA, respectively. Ser, however, prefers the minor groove in both the nucleic acids. Interestingly, we report 61 and 48 IDRs in 31 protein-DNA and 22 protein-RNA complexes, respectively, suggesting nucleic acid binding to proteins may also result in ordered-to-disordered transitions.

Establishing the allosteric mechanism in CRISPR-Cas9.

Allostery is a fundamental property of proteins, which regulates biochemical information transfer between spatially distant sites. Here, we report on the critical role of molecular dynamics (MD) simulations in discovering the mechanism of allosteric communication within CRISPR-Cas9, a leading genome editing machinery with enormous promises for medicine and biotechnology. MD revealed how allostery intervenes during at least three steps of the CRISPR-Cas9 function: affecting DNA recognition, mediating the cleavage and interfering with the off-target activity. An allosteric communication that activates concerted DNA cleavages was found to led through the L1/L2 loops, which connect the HNH and RuvC catalytic domains. The identification of these "allosteric transducers" inspired the development of novel variants of the Cas9 protein with improved specificity, opening a new avenue for controlling the CRISPR-Cas9 activity. Discussed studies also highlight the critical role of the recognition lobe in the conformational activation of the catalytic HNH domain. Specifically, the REC3 region was found to modulate the dynamics of HNH by sensing the formation of the RNA:DNA hybrid. The role of REC3 was revealed to be particularly relevant in the presence of DNA mismatches. Indeed, interference of REC3 with the RNA:DNA hybrid containing mismatched pairs at specific positions resulted in locking HNH in an inactive "conformational checkpoint" conformation, thereby hampering off-target cleavages. Overall, MD simulations established the fundamental mechanisms underlying the allosterism of CRISPR-Cas9, aiding engineering strategies to develop new CRISPR-Cas9 variants for improved genome editing.

Nanoscale Dynamics and Energetics of Proteins and Protein-Nucleic Acid Complexes in Classical Molecular Dynamics Simulations.

The present article describes techniques for classical simulations of proteins and protein-nucleic acid complexes, revealing their dynamics and protein-substrate binding energies. The approach is based on classical atomistic molecular dynamics (MD) simulations of the experimentally determined structures of the complexes. MD simulations can provide dynamics of complexes in realistic solvents on microsecond timescales, and the free energy methods are able to provide Gibbs free energies of binding of substrates, such as nucleic acids, to proteins. The chapter describes methodologies for the preparation of computer models of biomolecular complexes and free energy perturbation methodology for evaluating Gibbs free energies of binding. The applications are illustrated with examples of snapshots of proteins and their complexes with nucleic acids, as well as the precise Gibbs free energies of binding.

Single-Molecule Characterization of DNA-Protein Interactions Using Nanopore Biosensors.

Detection and characterization of nucleic acid-protein interactions, particularly those involving DNA and proteins such as transcription factors, enzymes, and DNA packaging proteins, remain significant barriers to our understanding of genetic regulation. Nanopores are an extremely sensitive and versatile sensing platform for label-free detection of single biomolecules. Analyte molecules are drawn to and through a nanoscale aperture by an electrophoretic force, which acts upon their native charge while in the sensing region of the pore. When the nanopore's diameter is only slightly larger than the biopolymer's cross section (typically a few nm); the latter must translocate through the pore in a linear fashion due to the constricted geometry in this region. These features allow nanopores to interrogate protein-nucleic acids in multiple sensing modes: first, by scanning and mapping the locations of binding sites along an analyte molecule, and second, by probing the strength of the bond between a protein and nucleic acid, using the native charge of the nucleic acid to apply an electrophoretic force to the complex while the protein is geometrically prevented from passing through the nanopore. In this chapter, we describe progress toward nanopore sensing of protein-nucleic acid complexes in the context of both mapping binding sites and performing force spectroscopy to determine the strength of interactions. We conclude by reviewing the strengths and challenges of the nanopore technique in the context of studying DNA-protein interactions.

Dynamic light scattering: a practical guide and applications in biomedical sciences.

Dynamic light scattering (DLS), also known as photon correlation spectroscopy (PCS), is a very powerful tool for studying the diffusion behaviour of macromolecules in solution. The diffusion coefficient, and hence the hydrodynamic radii calculated from it, depends on the size and shape of macromolecules. In this review, we provide evidence of the usefulness of DLS to study the homogeneity of proteins, nucleic acids, and complexes of protein-protein or protein-nucleic acid preparations, as well as to study protein-small molecule interactions. Further, we provide examples of DLS's application both as a complementary method to analytical ultracentrifugation studies and as a screening tool to validate solution scattering models using determined hydrodynamic radii.

Computational structure analysis of biomacromolecule complexes by interface geometry.

The ability to analyze and compare protein-nucleic acid and protein-protein interaction interface has critical importance in understanding the biological function and essential processes occurring in the cells. Since high-resolution three-dimensional (3D) structures of biomacromolecule complexes are available, computational characterizing of the interface geometry become an important research topic in the field of molecular biology. In this study, the interfaces of a set of 180 protein-nucleic acid and protein-protein complexes are computed to understand the principles of their interactions. The weighted Voronoi diagram of the atoms and the Alpha complex has provided an accurate description of the interface atoms. Our method is implemented in the presence and absence of water molecules. A comparison among the three types of interaction interfaces show that RNA-protein complexes have the largest size of an interface. The results show a high correlation coefficient between our method and the PISA server in the presence and absence of water molecules in the Voronoi model and the traditional model based on solvent accessibility and the high validation parameters in comparison to the classical model.