Impact of pyrophosphate and O-ethyl-substituted pyrophosphate groups on DNA structure

Impact of DNA3'pp5'G capping on repair reactions at DNA 3' ends

Many biological scenarios generate "dirty" DNA 3'-PO4 ends that cannot be sealed by classic DNA ligases or extended by DNA polymerases. The noncanonical ligase RtcB can "cap" these ends via a unique chemical mechanism entailing transfer of GMP from a covalent RtcB-GMP intermediate to a DNA 3'-PO4 to form DNA3'pp5'G. Here, we show that capping protects DNA 3' ends from resection by Escherichia coli exonucleases I and III and from end-healing by T4 polynucleotide 3' phosphatase. By contrast, the cap is an effective primer for DNA synthesis. E. coli DNA polymerase I and Mycobacterium DinB1 extend the DNAppG primer to form an alkali-labile DNApp(rG)pDNA product. The addition of dNTP depends on pairing of the cap guanine with an opposing cytosine in the template strand. Aprataxin, an enzyme implicated in repair of A5'pp5'DNA ends formed during abortive ligation by classic ligases, is highly effective as a DNA 3' decapping enzyme, converting DNAppG to DNA3'p and GMP. We conclude that the biochemical impact of DNA capping is to prevent resection and healing of a 3'-PO4 end, while permitting DNA synthesis, at the price of embedding a ribonucleotide and a pyrophosphate linkage in the repaired strand. Aprataxin affords a means to counter the impact of DNA capping.

Backbone-base interactions critical to quantum stabilization of transfer RNA anticodon structure

Transfer RNA (tRNA) anticodons adopt a highly ordered 3'-stack without significant base overlap. Density functional theory at the M06-2X/6-31+G(d,p) level in combination with natural bond orbital analysis was utilized to calculate the intramolecular interactions within the tRNA anticodon that are responsible for stabilizing the stair-stepped conformation. Ten tRNA X-ray crystal structures were obtained from the PDB databank and were trimmed to include only the anticodon bases. Hydrogenic positions were added and optimized for the structures in the stair-stepped conformation. The sugar-phosphate backbone has been retained for these calculations, revealing the role it plays in RNA structural stability. It was found that electrostatic interactions between the sugar-phosphate backbone and the base provide the most stability, rather than the traditionally studied interbase stacking. Base-stacking interactions, though present, were weak and inconsistent. Aqueous solvation was found to have little effect on the intramolecular interactions.

Symmetry of electrostatic interaction between pyrophosphate DNA molecules

We study chiral electrostatic interaction between artificial ideal homopolymer DNA-like molecules in which a number of phosphate groups of the sugar-phosphate backbone are exchanged for the pyrophosphate ones. We employ a model in which the DNA is considered as a one-dimensional lattice of dipoles and charges corresponding to base pairs and (pyro)phosphate groups, respectively. The interaction between molecules of the DNA is described by a pair potential U of electrostatic forces between the two sets of dipoles and charges belonging to respective lattices describing the molecules. Minima of the potential U indicate orientational ordering of the molecules and thus liquid crystalline phases of the DNA. We use numerical methods for finding the set of minima in conjunction with symmetries verified by the potential U . The symmetries form a non-commutative group of 8th order, S . Using the group S we suggest a classification of liquid crystalline phases of the DNA, which allows several cholesteric phases, that is polymorphism. Pyrophosphate forms of the DNA could clarify the role played by charges in their liquid crystalline phases, and open experimental research, important for nano-technological and bio-medical applications.

QM/MM methods for biomolecular systems

Combined quantum-mechanics/molecular-mechanics (QM/MM) approaches have become the method of choice for modeling reactions in biomolecular systems. Quantum-mechanical (QM) methods are required for describing chemical reactions and other electronic processes, such as charge transfer or electronic excitation. However, QM methods are restricted to systems of up to a few hundred atoms. However, the size and conformational complexity of biopolymers calls for methods capable of treating up to several 100,000 atoms and allowing for simulations over time scales of tens of nanoseconds. This is achieved by highly efficient, force-field-based molecular mechanics (MM) methods. Thus to model large biomolecules the logical approach is to combine the two techniques and to use a QM method for the chemically active region (e.g., substrates and co-factors in an enzymatic reaction) and an MM treatment for the surroundings (e.g., protein and solvent). The resulting schemes are commonly referred to as combined or hybrid QM/MM methods. They enable the modeling of reactive biomolecular systems at a reasonable computational effort while providing the necessary accuracy.

Is DNA a worm-like chain in Couette flow? In search of persistence length, a critical review

Persistence length is the foremost measure of DNA flexibility. Its origins lie in polymer theory which was adapted for DNA following the determination of BDNA structure in 1953. There is no single definition of persistence length used, and the links between published definitions are based on assumptions which may, or may not be, clearly stated. DNA flexibility is affected by local ionic strength, solvent environment, bound ligands and intrinsic sequence-dependent flexibility. This article is a review of persistence length providing a mathematical treatment of the relationships between four definitions of persistence length, including: correlation, Kuhn length, bending, and curvature. Persistence length has been measured using various microscopy, force extension and solution methods such as linear dichroism and transient electric birefringence. For each experimental method a model of DNA is required to interpret the data. The importance of understanding the underlying models, along with the assumptions required by each definition to determine a value of persistence length, is highlighted for linear dichroism data, where it transpires that no model is currently available for long DNA or medium to high shear rate experiments.