Distribution, phylogenetic diversity and physiological characteristics of epsilon-Proteobacteria in a deep-sea hydrothermal field

Epsilon-Proteobacteria is increasingly recognized as an ecologically significant group of bacteria, particularly in deep-sea hydrothermal environments. In this study, we studied the spatial distribution, diversity and physiological characteristics of the epsilon-Proteobacteria in various microbial habitats in the vicinity of a deep-sea hydrothermal vent occurring in the Iheya North field in the Mid-Okinawa Trough, by using culture-dependent and -independent approaches. The habitats studied were inside and outside hydrothermal plume, and annelid polychaete tubes. In addition, we deployed colonization devices near the vent emission. The polychaete tubes harboured physiologically and phylogenetically diverse microbial community. The in situ samplers were predominantly colonized by epsilon-Proteobacteria. Energy metabolism of epsilon-Proteobacteria isolates was highly versatile. Tree topology generated from the metabolic traits was significantly different (P = 0.000) from that of 16S rRNA tree, indicating current 16S rRNA gene-based analyses do not provide sufficient information to infer the physiological characteristics of epsilon-Proteobacteria. Nevertheless, culturability of epsilon-Proteobacteria in various microbial habitats differed among the phylogenetic subgroups. Members of Sulfurimonas were characterized by the robust culturability, and the other phylogenetic subgroups appeared to lose culturability in seawater, probably because of the sensitivity to oxygen. These results provide new insight into the ecophysiological characteristics of the deep-sea hydrothermal vent epsilon-Proteobacteria, which has never been assessed by comparative analysis of the 16S rRNA genes.     

A systematic survey of centrality measures for protein-protein interaction networks

Background

Numerous centrality measures have been introduced to identify “central” nodes in large networks. The availability of a wide range of measures for ranking influential nodes leaves the user to decide which measure may best suit the analysis of a given network. The choice of a suitable measure is furthermore complicated by the impact of the network topology on ranking influential nodes by centrality measures. To approach this problem systematically, we examined the centrality profile of nodes of yeast protein-protein interaction networks (PPINs) in order to detect which centrality measure is succeeding in predicting influential proteins. We studied how different topological network features are reflected in a large set of commonly used centrality measures.

Results

We used yeast PPINs to compare 27 common of centrality measures. The measures characterize and assort influential nodes of the networks. We applied principal component analysis (PCA) and hierarchical clustering and found that the most informative measures depend on the network’s topology. Interestingly, some measures had a high level of contribution in comparison to others in all PPINs, namely Latora closeness, Decay, Lin, Freeman closeness, Diffusion, Residual closeness and Average distance centralities.

Conclusions

The choice of a suitable set of centrality measures is crucial for inferring important functional properties of a network. We concluded that undertaking data reduction using unsupervised machine learning methods helps to choose appropriate variables (centrality measures). Hence, we proposed identifying the contribution proportions of the centrality measures with PCA as a prerequisite step of network analysis before inferring functional consequences, e.g., essentiality of a node.

     

ISOZYME ANALYSIS OF MATING POPULATIONS OF GONIUM PECTORALE (CHLOROPHYTA)1

Intraspecific variation among 36 strains of the freshwater alga Gonium pectorale Müller (Chlorophyceae) isolated from three geographically different locations in Tibet, Nepal, and Japan was investigated by isozyme analysis. Variation in isozyme patterns of eight enzyme systems (malate dehydrogenase, glutamate dehydrogenase, tetrazolium oxidase, lactate dehydrogenase, octanol dehydrogenase, xanthine dehydrogenase, phosphoglucomutase, and malic enzyme) of axenic and clonal cultures was revealed by polyacrylamide gel electrophoresis. Unweighted average linkage clustering, based on Jaccard's similarity coefficient, illustrated the high similarity between most strains from Nepal and all strains from the Ryukyu Islands (Japan). However, there was relatively low similarity between strains from Tibet and those from Nepal and Japan. Strains from the Ryukyu Islands (Japan) grouped into two clusters, and most Nepalese strains formed a single cluster, but Tibetan strains were heterogenous.     

Hydrophobic residues can identify native protein structures

Evaluation of protein structures needs a trustworthy potential function. Although several knowledge‐based potential functions exist, the impact of different types of amino acids in the scoring functions has not been studied yet. Previously, we have reported the importance of nonlocal interactions in scoring function (based on Delaunay tessellation) in discrimination of native structures. Then, we have questioned the structural impact of hydrophobic amino acids in protein fold recognition. Therefore, a Hydrophobic Reduced Model (HRM) was designed to reduce protein structure of FS (Full Structure) into RS (Reduced Structure). RS is considered as a reduced structure of only seven hydrophobic amino acids (L, V, F, I, A, W, Y) and all their interactions. The presented model was evaluated via four different performance metrics including the number of correctly identified natives, the Z‐score of the native energy, the RMSD of the minimum score, and the Pearson correlation coefficient between the energy and the model quality. Results indicated that only nonlocal interactions between hydrophobic amino acids could be sufficient and accurate enough for protein fold recognition. Interestingly, the results of HRM is significantly close to the model that considers all amino acids (20‐amino acid model) to discriminate the native structure of the proteins on eleven decoy sets. This indicates that the power of knowledge‐based potential functions in protein fold recognition is mostly due to hydrophobic interactions. Hence, we suggest combining a different well‐designed scoring function for non‐hydrophobic interactions with HRM to achieve better performance in fold recognition.     

Discovery of 1,2,3,4-tetrahydropyrimido[1,2-a]benzimidazoles as novel class of corticotropin releasing factor 1 receptor antagonists

A new class of corticotropin releasing factor 1 (CRF₁) receptor antagonists characterized by a tricyclic core ring was designed and synthesized. Novel tricyclic derivatives 2a–e were designed as CRF₁ receptor antagonists based on conformation analysis of our original 2-anilinobenzimidazole CRF₁ receptor antagonist. The synthesized tricyclic derivatives 2a–e showed CRF₁ receptor binding activity with IC₅₀ values of less than 400?nM, and the 1,2,3,4-tetrahydropyrimido-[1,2-a]benzimidazole derivative 2e was selected as a lead compound with potent in vitro CRF₁ receptor binding activity (IC₅₀?=?7.1?nM). To optimize the pharmacokinetic profiles of lead compound 2e, we explored suitable substituents on the 1-position and 6-position, leading to the identification of compound 42c-R, which exhibited potent CRF₁ receptor binding activity (IC₅₀?=?58?nM) with good oral bioavailability (F?=?68% in rats). Compound 42c-R exhibited dose-dependent inhibition of [¹²⁵I]-CRF binding in the frontal cortex (5 and 10?mg/kg, p.o.) as well as suppression of locomotor activation induced by intracerebroventricular administration of CRF in rats (10?mg/kg, p.o.). These results suggest that compound 42c-R successfully binds CRF₁ receptors in the brain and exhibits the potential to be further examined for clinical studies.     

Asymmetric oxidative coupling of hydroxycarbazoles: Facile synthesis of (+)-bi-2-hydroxy-3-methylcarbazole

Asymmetric oxidative coupling reactions of hydroxycarbazoles have been established using a chiral dinuclear vanadium complex. To demonstrate the utility of vanadium-catalyzed reactions, we have used them to synthesize (+)-bi-2-hydroxy-3-carbazole in three steps from cyclohexanone and commercially available aniline derivatives.     

Role of amino-terminal positive charge on signal peptide in staphylokinase export across the cytoplasmic membrane of Escherichia coli

Staphylokinase mutants having amino acid substitutions within the amino-terminal charged segment of the signal peptide have been produced by in vitro oligonucleotide-directed mutagenesis. When the processing of the gene products was analyzed in Escherichia coli cells, the rate of processing of the mutant staphylokinase precursor decreased as the net charge became more negative. A net positive charge, but not specific amino acid residues, was required on the amino-terminal segment for efficient processing. Staphylokinase precursor having a net negative charge accumulated in the cytoplasm, tending to bind to the cytoplasmic membrane as determined by subcellular fractionation and immunoelectron microscopy. Although a mutant carrying an amino acid substitution in the hydrophobic segment and wild-type staphylokinases had an interfering effect on the processing of other normal secreted proteins, this effect was lost when they also contained charge-altering substitutions in the amino-terminal region. From these results, we concluded that a positive charge on the amino-terminal segment of the staphylokinase signal peptide is required for entrance into the protein export process.     

Effect of pravastatin on serum lipids, apolipoproteins and lipoprotein (a) in patients with non-insulin dependent diabetes mellitus.

In 43 patients with non-insulin dependent diabetes mellitus (NIDDM) associated with hypercholesterolemia, the effect of pravastatin, a potent HMG CoA-reductase inhibitor, on serum lipids, apolipoproteins and lipoprotein (a) was examined. After 1 to 3 months administration of 10 mg per day of pravastatin, the serum levels of total cholesterol, triglycerides and low-density lipoprotein cholesterol (LDL-C) were significantly decreased, while the serum level of high density lipoprotein cholesterol (HDL-C) was significantly increased in patients with NIDDM. The levels of apolipoproteins B (apo B) and E were significantly decreased, while apolipoprotein AI (apo A-I) was not changed by the administration of pravastatin. The atherogenic indices (LDL-C/HDL-C and apo B/apo A-I) were significantly decreased by the administration of this drug. The serum lipoprotein (a), which was increased in the diabetic patients, was not affected by the pravastatin treatment. Plasma glucose and hemoglobin A1c levels were not affected by the treatment. We concluded that pravastatin is a potentially useful agent in the treatment of hypercholesterolemia in patients with NIDDM.     

Characterization of quinol-dependent nitric oxide reductase from Geobacillus stearothermophilus: Enzymatic activity and active site structure

Nitric oxide reductase (NOR) catalyzes the reduction of nitric oxide to generate nitrous oxide. We recently reported on the crystal structure of a quinol-dependent NOR (qNOR) from Geobacillus stearothermophilus [Y. Matsumoto, T. Tosha, A.V. Pisliakov, T. Hino, H. Sugimoto, S. Nagano, Y. Sugita and Y. Shiro, Nat. Struct. Mol. Biol. 19 (2012) 238–246], and suggested that a water channel from the cytoplasm, which is not observed in cytochrome c-dependent NOR (cNOR), functions as a pathway transferring catalytic protons. Here, we further investigated the functional and structural properties of qNOR, and compared the findings with those for cNOR. The pH optimum for the enzymatic reaction of qNOR was in the alkaline range, whereas Pseudomonas aeruginosa cNOR showed a higher activity at an acidic pH. The considerably slower reduction rate, and a correlation of the pH dependence for enzymatic activity and the reduction rate suggest that the reduction process is the rate-determining step for the NO reduction by qNOR, while the reduction rate for cNOR was very fast and therefore is unlikely to be the rate-determining step. A close examination of the heme/non-heme iron binuclear center by resonance Raman spectroscopy indicated that qNOR has a more polar environment at the binuclear center compared with cNOR. It is plausible that a water channel enhances the accessibility of the active site to solvent water, creating a more polar environment in qNOR. This structural feature could control certain properties of the active site, such as redox potential, which could explain the different catalytic properties of the two NORs. This article is part of a Special Issue entitled: 18th European Bioenergetic Conference.