Genetic variability and population structure of Bergenia ciliata (Saxifragaceae) in the Western Himalaya inferred from DAMD and ISSR markers

Genetic variability and population structure of Bergenia ciliata (Haw.) Sternb., commonly known as “Pashanbheda” (Stone-breaker), collected from the Western Himalayan region of India were estimated using two DNA fingerprinting methods viz., directed amplification of minisatellite DNA (DAMD) and inter simple sequence repeats (ISSR). The cumulative data analysis of DAMD and ISSR markers for 74 accessions from eight populations showed 86.1% polymorphism. Analysis of molecular variance (AMOVA) showed highest percentage of variation within individuals of populations (73.6%) and 21.7% among populations. STRUCTURE and PCoA analyses on the hierarchical partitioning of genetic diversity showed strong admixture of individuals among the eight assumed geographical populations of B. ciliata. The data suggests that high genetic flow is one of the major factors responsible for low genetic differentiation. Preservation of genetic diversity of B. ciliata is important, both to promote adaptability of the populations to changing environment as well as to preserve a large gene pool for future prospection. The present study using DAMD and ISSR markers, therefore, provide the means of rapid characterization of accessions within the populations, and thus enable the selection of appropriate accessions for further utilization in conservation and prospection programmes.     

Population structure and genetic diversity of Ammodytes personatus in the Northwestern Pacific revealed by microsatellites markers

Genetic diversity and population structure of Ammodytes personatus in the Northwestern Pacific were investigated for 16 collections using eight highly variable microsatellite loci. Microsatellite analyses gave strong support for the presence of two distinct groups of genotypes. Pleistocene glaciations can cause significant geographical differentiation in A. personatus populations. However, microsatellite data cannot confirm completely reproductive isolation between north group and south group. About half of comparison values within the first and second cluster were significant after sequential Bonferroni corrections. Routine oceanic currents associated with strong wind condition may provide an excellent chance for connectivity of among populations within clusters. However, gene flow can be restricted by marine gyres due to complex geographical characteristic.     

Phylogenetic identification and population differentiation of bottlenose dolphins (Tursiops spp.) in Melanesia,as revealed by mitochondrial DNA

The taxonomic status of many dolphin populations remains uncertain in poorly studied regions of the world's ocean. Here we attempt to clarify the phylogenetic identity of two distinct forms of bottlenose dolphins (Tursiops spp.) described in the Melanesian region of the Pacific Ocean. Mitochondrial DNA control region sequences from samples collected in New Caledonia (n = 88) and the Solomon Islands (n = 19) were compared to previously published sequences of Tursiops spp., representing four phylogenetic units currently recognized within the genus. Phylogenetic reconstructions confirm that the smaller coastal form in Melanesia belongs to the same phylogenetic unit as T. aduncus populations in the Pacific, but differs from T. aduncus in Africa, and that the larger more oceanic form belongs to the species T. truncatus. Analyses of population diversity reveal high levels of regional population structuring among the two forms, with contrasting levels of diversity. From a conservation perspective, genetic isolation of T. aduncus in the Solomon Islands raises further concern about recent impacts of the commercial, live‐capture export industry. Furthermore, the low level of mtDNA diversity in T. aduncus of New Caledonia suggests a recent population bottleneck or founder effect and isolation. This raises concerns for the conservation status of these local populations.     

Occurrence and social structure of Baird's beaked whales,Berardius bairdii,in the Commander Islands,Russia

The social structure of Baird's beaked whales is completely unstudied, and it is unknown if either females or males form long‐term social associations or occur in stable groups. In this paper we summarize our observations of individually identified animals over the span of 6 yr to provide insight on their long‐term social structure. We have identified 122 whales, with 28 of them encountered three times or more and thus included in the analysis of social structure. We found that the whales exhibited nonrandom patterns of social associations with some individuals preferentially associating with each other. Whales with more scarred skin had higher maximum association coefficients, which indicates that older animals and/or males were more inclined to form stable associations. Cluster analysis with a modularity test for gregariousness divided the whales into four clusters. Whales from the same clusters did not always occur together, but some individuals retained stable associations over several years. The strength of social relationships decayed over periods of months, with between‐year relationships showing little deviation from what would be expected if association was random. Generally these findings do not correspond to a stable society with fixed groups but instead suggest a fission‐fusion society with some stable alliances.     

Crystal structures of halohydrin hydrogen‐halide‐lyases from Corynebacterium sp. N‐1074

Halohydrin hydrogen‐halide‐lyase (H‐Lyase) is a bacterial enzyme that is involved in the degradation of halohydrins. This enzyme catalyzes the intramolecular nucleophilic displacement of a halogen by a vicinal hydroxyl group in halohydrins to produce the corresponding epoxides. The epoxide products are subsequently hydrolyzed by an epoxide hydrolase, yielding the corresponding 1, 2‐diol. Until now, six different H‐Lyases have been studied. These H‐Lyases are grouped into three subtypes (A, B, and C) based on amino acid sequence similarities and exhibit different enantioselectivity. Corynebacterium sp. strain N‐1074 has two different isozymes of H‐Lyase, HheA (A‐type) and HheB (B‐type). We have determined their crystal structures to elucidate the differences in enantioselectivity among them. All three groups share a similar structure, including catalytic sites. The lack of enantioselectivity of HheA seems to be due to the relatively wide size of the substrate tunnel compared to that of other H‐Lyases. Among the B‐type H‐Lyases, HheB shows relatively high enantioselectivity compared to that of HheB_GP1. This difference seems to be due to amino acid replacements at the active site tunnel. The binding mode of 1, 3‐dicyano‐2‐propanol at the catalytic site in the crystal structure of the HheB‐DiCN complex suggests that the product should be (R)‐epichlorohydrin, which agrees with the enantioselectivity of HheB. Comparison with the structure of HheC provides a clue for the difference in their enantioselectivity. Proteins 2015; 83:2230–2239. © 2015 Wiley Periodicals, Inc.     

Nonlinearities in protein space limit the utility of informatics in protein biophysics

We examine the utility of informatic‐based methods in computational protein biophysics. To do so, we use newly developed metric functions to define completely independent sequence and structure spaces for a large database of proteins. By investigating the relationship between these spaces, we demonstrate quantitatively the limits of knowledge‐based correlation between the sequences and structures of proteins. It is shown that there are well‐defined, nonlinear regions of protein space in which dissimilar structures map onto similar sequences (the conformational switch), and dissimilar sequences map onto similar structures (remote homology). These nonlinearities are shown to be quite common—almost half the proteins in our database fall into one or the other of these two regions. They are not anomalies, but rather intrinsic properties of structural encoding in amino acid sequences. It follows that extreme care must be exercised in using bioinformatic data as a basis for computational structure prediction. The implications of these results for protein evolution are examined. Proteins 2015; 83:1923–1928. © 2015 Wiley Periodicals, Inc.     

3d interaction homology: The structurally known rotamers of tyrosine derive from a surprisingly limited set of information‐rich hydropathic interaction environments described by maps

Sidechain rotamer libraries are obtained through exhaustive statistical analysis of existing crystallographic structures of proteins and have been applied in multiple aspects of structural biology, for example, crystallography of relatively low‐resolution structures, in homology model building and in biomolecular NMR. Little is known, however, about the driving forces that lead to the preference or suitability of one rotamer over another. Construction of 3D hydropathic interaction maps for nearly 30,000 tyrosines reveals the environment around each, in terms of hydrophobic (π–π stacking, etc.) and polar (hydrogen bonding, etc.) interactions. After partitioning the tyrosines into backbone‐dependent (?, ψ) bins, a map similarity metric based on the correlation coefficient was applied to each map‐map pair to build matrices suitable for clustering with k‐means. The first bin (?200° ≤ ? < –155°; ?205° ≤ ψ < –160°), representing 631 tyrosines, reduced to 14 unique hydropathic environments, with most diversity arising from favorable hydrophobic interactions with many different residue partner types. Polar interactions for tyrosine include surprisingly ubiquitous hydrogen bonding with the phenolic OH and a handful of unique environments surrounding the tyrosine backbone. The memberships of all but one of the 14 environments are dominated (>50%) by a single χ₁/χ₂ rotamer. The last environment has weak or no interactions with the tyrosine ring and its χ₁/χ₂ rotamer is indeterminate, which is consistent with it being composed of mostly surface residues. Each tyrosine residue attempts to fulfill its hydropathic valence and thus, structural water molecules are seen in a variety of roles throughout protein structure. Proteins 2015; 83:1118–1136. © 2015 Wiley Periodicals, Inc.     

Coupling between overall rotational diffusion and domain motions in proteins and its effect on dielectric spectra

In this work, we formulate a closed‐form solution of the model of a semirigid molecule for the case of fluctuating and reorienting molecular electric dipole moment. We illustrate with numeric calculations the impact of protein domain motions on dielectric spectra using the example of the 128 kDa protein dimer of Enzyme I. We demonstrate that the most drastic effect occurs for situations when the characteristic time of protein domain dynamics is comparable to the time of overall molecular rotational diffusion. We suggest that protein domain motions could be a possible explanation for the high‐frequency contribution that accompanies the major relaxation dispersion peak in the dielectric spectra of protein aqueous solutions. We propose that the presented computational methodology could be used for the simultaneous analysis of dielectric spectroscopy and nuclear magnetic resonance data. Proteins 2015; 83:1571–1581. © 2015 Wiley Periodicals, Inc.     

The performance of fine‐grained and coarse‐grained elastic network models and its dependence on various factors

In a recent work we developed a method for deriving accurate simplified models that capture the essentials of conventional all‐atom NMA and identified two best simplified models: ssNMA and eANM, both of which have a significantly higher correlation with NMA in mean square fluctuation calculations than existing elastic network models such as ANM and ANMr2, a variant of ANM that uses the inverse of the squared separation distances as spring constants. Here, we examine closely how the performance of these elastic network models depends on various factors, namely, the presence of hydrogen atoms in the model, the quality of input structures, and the effect of crystal packing. The study reveals the strengths and limitations of these models. Our results indicate that ssNMA and eANM are the best fine‐grained elastic network models but their performance is sensitive to the quality of input structures. When the quality of input structures is poor, ANMr2 is a good alternative for computing mean‐square fluctuations while ANM model is a good alternative for obtaining normal modes. Proteins 2015; 83:1273–1283. © 2015 Wiley Periodicals, Inc.