Theoretical Analysis of the Base Stacking in DNA: Choice of the Force Field and a Comparison with the Oligonucleotide Crystal Structures

Abstract

It follows from previous studies that changes in the base pair vertical separation (BPVS) influence the architecture of DNA much more than any other conformational parameter. This inspired us to compare BPVS in the available oligonucleotide crystal structures with the optimum values provided by nine different empirical potentials employed in the theoretical studies of DNA conformation. This comparison shows that BPVS is reproduced by three fields in all steps of the highly resolved o] i go nucleoli de crystal structures while the remaining six empirical potentials, including AMBER, GROMOS and CHARMM, provide systematic deviations. We further find that the base pairs are poorly stacked (mostly compressed) in some other refined DNA crystal structures. Our analysis indicates that this poor stacking originates from improperly determined positions of the bases. The approach described in the present communication can be used to identify DNA structures which are not accurate enough for studies of the relationships between the base sequence and DNA conformation.     

Qualitative Risk Assessment of Surface Water Contamination with Cryptosporidium Sp. Oocysts: A Case Study of Three Agricultural Catchments

In recent years there have been a number of waterborne outbreaks of cryptosporidiosis in some major urban centers in Ireland. The Irish Environmental Protection Agency has adapted and modified the qualitative “Scottish Water Directions” to help prevent such outbreaks. When this risk assessment method was applied to three small agricultural river catchments in Ireland, the results suggested an equal risk of water contamination for each catchment. A survey was conducted in each catchment focusing on agricultural activity and surface waters. Fecal samples were collected from 1–8-week-old calves along with associated slurry and dung from beef and dairy farms and water samples were collected monthly at the outlet of the three catchments. Two of the catchments had much higher infection rates among neonatal calves as well as higher oocyst contamination of surface waters than the remaining one. It was concluded that the qualitative risk assessment could be more robust if cognizance was taken of the temporal and epidemiological aspects of cryptosporidiosis in beef and dairy herds.     

Robust Estimates of Divergence Times and Selection with a Poisson Random Field Model: A Case Study of Comparative Phylogeographic Data

Mutation frequencies can be modeled as a Poisson random field (PRF) to estimate speciation times and the degree of selection on newly arisen mutations. This approach provides a quantitative theory for comparing intraspecific polymorphism with interspecific divergence in the presence of selection and can be used to estimate population genetic parameters. Although the original PRF model has been extended to more general biological settings to make statistical inference about selection and divergence among model organisms, it has not been incorporated into phylogeographic studies that focus on estimating population genetic parameters for nonmodel organisms. Here, we modified a recently developed time-dependent PRF model to independently estimate genetic parameters from a nuclear and mitochondrial DNA data set of 22 sister pairs of birds that have diverged across a biogeographic barrier. We found that species that inhabit humid habitats had more recent divergence times and larger effective population sizes than those that inhabit drier habitats, and divergence time estimated from the PRF model were similar to estimates from a coalescent species-tree approach. Selection coefficients were higher in sister pairs that inhabited drier habitats than in those in humid habitats, but overall the mitochondrial DNA was under weak selection. Our study indicates that PRF models are useful for estimating various population genetic parameters and serve as a framework for incorporating estimates of selection into comparative phylogeographic studies.     

Correlation Between Thermal Aggregation and Stability of Lysozyme with Salts Described by Molar Surface Tension Increment: An Exceptional Propensity of Ammonium Salts as Aggregation Suppressor

Protein aggregation is a critical problem for biotechnology and pharmaceutical industries. Despite the fact that soluble proteins have been used for many applications, our understanding of the effect of the solution chemistry on protein aggregation still remains to be elucidated. This paper investigates the process of thermal aggregation of lysozyme in the presence of various types of salts. The simple law was found; the aggregation rate of lysozyme increased with increasing melting temperature of the protein (T _m) governed by chemical characteristics of additional salts. Ammonium salts were, however, ruled out; the aggregation rates of lysozyme in the presence of the ammonium salts were smaller than the ones estimated from T _m. Comparing with sodium salts, ammonium salts increased the solubility of the hydrophobic amino acids, indicating that ammonium salts adsorb the hydrophobic region of proteins, which leads to the decrease in aggregation more effectively than sodium salts. The positive relation between aggregation rate and T _m was described by another factor such as the surface tension of salt solutions. Fourier transform infrared spectral analysis showed that the thermal aggregates were likely to form β-sheet in solutions that give high molar surface tension increment. These results suggest that protein aggregation is attributed to the surface free energy of the solution.