Pseudomonas aeruginosa Cif defines a distinct class of α/ß epoxide hydrolases utilizing a His/Tyr ring-opening pair.

The Gram-negative bacterium Pseudomonas aeruginosa is an opportunistic pathogen that secretes a multitude of virulence factors during the course of infection. Among these is Cif, an epoxide hydrolase (EH) that reduces the functional localization of the cystic fibrosis transmembrane conductance regulator in epithelial cells. In addition to being the first reported EH virulence factor, Cif possesses unique sequence deviations from canonical EH motifs. Foremost among these is the substitution of a histidine for the first epoxide ring-opening tyrosine in the active site. To test the functional equivalence of Tyr and His side chains at this position, we have generated the mutant Cif-H177Y. Structural analysis confirms that both the WT His and mutant Tyr side chains can be accommodated without large-scale conformational changes. However, the Tyr mutant is functionally inactive. Based on a detailed analysis of the structure of the Tyr mutant, it appears that Cif's main-chain conformation imposes a functional requirement for a His at this position. Comparison with canonical EH structures reveals additional conformational differences, which are coupled to divergent sequence characteristics. When used to probe the genomes of other opportunistic pathogens, these sequence-structure criteria uncover candidate sequences that appear to form a distinct subfamily of Cif-like epoxide hydrolases characterized by a conserved His/Tyr ring-opening pair.

Differential subcellular distribution and colocalization of the microsomal and soluble epoxide hydrolases in cultured neonatal rat brain cortical astrocytes.

The microsomal epoxide hydrolase (mEH) and soluble epoxide hydrolase (sEH) enzymes exist in a variety of cells and tissues, including liver, kidney, and testis. However, very little is known about brain epoxide hydrolases. Here we report the expression, localization, and subcellular distribution of mEH and sEH in cultured neonatal rat cortical astrocytes by immunocytochemistry, subcellular fractionation, Western blotting, and radiometric enzyme assays. Our results showed a diffuse immunofluorescence pattern for mEH, which colocalized with the astroglial cytoskeletal marker glial fibrillary acidic protein (GFAP). The GFAP-positive cells also expressed sEH, which was localized mainly in the cytoplasm, especially in and around the nucleus. Western blot analyses revealed a distinct protein band with a molecular mass of approximately 50 kDa, the signal intensity of which increased about 1.5-fold in the microsomal fraction over the whole-cell lysate and other subcellular fractions. The polyclonal anti-human sEH rabbit serum recognized a protein band with a molecular mass similar to that of the affinity-purified sEH protein (approximately 62 kDa), the signal intensity of which increased over 1.7-fold in the 105,000g supernatant fraction over the cell lysate. Furthermore, the corresponding enzyme activities measured by using mEH- and sEH-selective substrates generally corroborated the immunocytochemical and Western blotting data. These results suggest that rat brain cortical astrocytes differentially coexpress mEH and sEH enzymes. The differential subcellular localization of mEH and sEH may play a role in the cerebrovascular functions that are known to be affected by brain-derived vasoactive epoxides.

Micro-colinearity between rice, Brachypodium, and Triticum monococcum at the wheat domestication locus Q.

Brachypodium, a wild temperate grass with a small genome, was recently proposed as a new model organism for the large-genome grasses. In this study, we evaluated gene content and microcolinearity between diploid wheat (Triticum monococcum), Brachypodium sylvaticum, and rice at a local genomic region harboring the major wheat domestication gene Q. Gene density was much lower in T. monococcum (one per 41 kb) because of gene duplication and an abundance of transposable elements within intergenic regions as compared to B. sylvaticum (one per 14 kb) and rice (one per 10 kb). For the Q gene region, microcolinearity was more conserved between wheat and rice than between wheat and Brachypodium because B. sylvaticum contained two genes apparently not present within the orthologous regions of T. monococcum and rice. However, phylogenetic analysis of Q and leukotriene A-4 hydrolase-like gene orthologs, which were colinear among the three species, showed that Brachypodium is more closely related to wheat than rice, which agrees with previous studies. We conclude that Brachypodium will be a useful tool for gene discovery, comparative genomics, and the study of evolutionary relationships among the grasses but will not preclude the need to conduct large-scale genomics experiments in the Triticeae.

Diversity and biocatalytic potential of epoxide hydrolases identified by genome analysis.

Epoxide hydrolases play an important role in the biodegradation of organic compounds and are potentially useful in enantioselective biocatalysis. An analysis of various genomic databases revealed that about 20% of sequenced organisms contain one or more putative epoxide hydrolase genes. They were found in all domains of life, and many fungi and actinobacteria contain several putative epoxide hydrolase-encoding genes. Multiple sequence alignments of epoxide hydrolases with other known and putative alpha/beta-hydrolase fold enzymes that possess a nucleophilic aspartate revealed that these enzymes can be classified into eight phylogenetic groups that all contain putative epoxide hydrolases. To determine their catalytic activities, 10 putative bacterial epoxide hydrolase genes and 2 known bacterial epoxide hydrolase genes were cloned and overexpressed in Escherichia coli. The production of active enzyme was strongly improved by fusion to the maltose binding protein (MalE), which prevented inclusion body formation and facilitated protein purification. Eight of the 12 fusion proteins were active toward one or more of the 21 epoxides that were tested, and they converted both terminal and nonterminal epoxides. Four of the new epoxide hydrolases showed an uncommon enantiopreference for meso-epoxides and/or terminal aromatic epoxides, which made them suitable for the production of enantiopure (S,S)-diols and (R)-epoxides. The results show that the expression of epoxide hydrolase genes that are detected by analyses of genomic databases is a useful strategy for obtaining new biocatalysts.

EHPred: an SVM-based method for epoxide hydrolases recognition and classification.

A two-layer method based on support vector machines (SVMs) has been developed to distinguish epoxide hydrolases (EHs) from other enzymes and to classify its subfamilies using its primary protein sequences. SVM classifiers were built using three different feature vectors extracted from the primary sequence of EHs: the amino acid composition (AAC), the dipeptide composition (DPC), and the pseudo-amino acid composition (PAAC). Validated by 5-fold cross tests, the first layer SVM classifier can differentiate EHs and non-EHs with an accuracy of 94.2% and has a Matthew's correlation coefficient (MCC) of 0.84. Using 2-fold cross validation, PAAC-based second layer SVM can further classify EH subfamilies with an overall accuracy of 90.7% and MCC of 0.87 as compared to AAC (80.0%) and DPC (84.9%). A program called EHPred has also been developed to assist readers to recognize EHs and to classify their subfamilies using primary protein sequences with greater accuracy.

Sequence and structure of epoxide hydrolases: a systematic analysis.

Epoxide hydrolases (EC 3.3.2.3) are ubiquitous enzymes that catalyze the hydrolysis of epoxides to the corresponding vicinal diols. More than 100 epoxide hydrolases (EH) have been identified or predicted, and 3 structures are available. Although they catalyze the same chemical reaction, sequence similarity is low. To identify conserved regions, all EHs were aligned. Phylogenetic analysis identified 12 homologous families, which were grouped into 2 major superfamilies: the microsomal EH superfamily, which includes the homologous families of Mammalian, Insect, Fungal, and Bacterial EHs, and the cytosolic EH superfamily, which includes Mammalian, Plant, and Bacterial EHs. Bacterial EHs show a high sequence diversity. Based on structure comparison of three known structures from Agrobacterium radiobacter AD1 (cytosolic EH), Aspergillus niger (microsomal EH), Mus musculus (cytosolic EH), and multisequence alignment and phylogenetic analysis of 95 EHs, the modular architecture of this enzyme family was analyzed. Although core and cap domain are highly conserved, the structural differences between the EHs are restricted to only two loops: the NC-loop connecting the core and the cap and the cap-loop, which is inserted into the cap domain. EHs were assigned to either of three clusters based on loop length. By using this classification, core and cap region of all EHs, NC-loops and cap-loops of 78% and 89% of all EHs, respectively, could be modeled. Representative models are available from the Lipase Engineering Database, http://www.led.uni-stuttgart.de.

The database of epoxide hydrolases and haloalkane dehalogenases: one structure, many functions.

UNLABELLED: The epoxide hydrolases and haloalkane dehalogenases database (EH/HD) integrates sequence and structure of a highly diverse protein family, including mainly the Asp-hydrolases of EHs and HDs but also proteins, such as Ser-hydrolases non-heme peroxidases, prolyl iminopetidases and 2-hydroxymuconic semialdehyde hydrolases. These proteins have a highly conserved structure, but display a remarkable diversity in sequence and function. A total of 305 protein entries were assigned to 14 homologous families, forming two superfamilies. Annotated multisequence alignments and phylogenetic trees are provided for each homologous family and superfamily. Experimentally derived structures of 19 proteins are superposed and consistently annotated. Sequence and structure of all 305 proteins were systematically analysed. Thus, deeper insight is gained into the role of a highly conserved sequence motifs and structural elements. AVAILABILITY: The EH/HD database is available at http://www.led.uni-stuttgart.de

Biocatalysis of nitro substituted styrene oxides by non-conventional yeasts.

Yeast strains (410) from more than 45 different genera were screened for the enantioselective hydrolysis of nitro substituted styrene oxides. These strains included 262 yeasts with known epoxides hydrolase activity for various other epoxides. Epoxide hydrolase activity for p-nitrostyrene oxide (pNSO) (177 strains) and m-nitrostyrene oxide (mNSO) (148 strains) was widespread in the yeasts, while activity for o-nitrostyrene oxide (oNSO) was less ubiquitous (22 strains). The strains that displayed enantioselectivity in the hydrolysis of one or more of the nitro substituted styrene oxides (35 strains) were also screened against styrene oxide (SO). Rhodosporidium toruloides UOFS Y-0471 displayed the highest enantioselectivity for pNSO (ee 55%, yield 35%) while Rhodotorula glutinis UOFS Y-0653 displayed the highest enantioselectivity for mNSO (ee > 98%, yield 29%), oNSO (ee 39%, yield 19%) and SO (ee > 98%, yield 19%). (R)-Styrene oxide was preferentially hydrolysed to the corresponding (R)-diol with retention of configuration at the stereogenic centre. In the case of the nitro substituted styrene oxides the absolute configurations of the remaining epoxides and the formed diols were not established.

QSAR and classification of murine and human soluble epoxide hydrolase inhibition by urea-like compounds.

A data set of 348 urea-like compounds that inhibit the soluble epoxide hydrolase enzyme in mice and humans is examined. Compounds having IC(50) values ranging from 0.06 to >500 microM (murine) and 0.10 to >500 microM (human) are categorized as active or inactive for classification, while quantitation is performed on smaller compound subsets ranging from 0.07 to 431 microM (murine) and 0.11 to 490 microM (human). Each compound is represented by calculated structural descriptors that encode topological, geometrical, electronic, and polar surface features. Multiple linear regression (MLR) and computational neural networks (CNNs) are employed for quantitative models. Three classification algorithms, k-nearest neighbor (kNN), linear discriminant analysis (LDA), and radial basis function neural networks (RBFNN), are used to categorize compounds as active or inactive based on selected data split points. Quantitative modeling of human enzyme inhibition results in a nonlinear, five-descriptor model with root-mean-square errors (log units of IC(50) [microM]) of 0.616 (r(2) = 0.66), 0.674 (r(2) = 0.61), and 0.914 (r(2) = 0.33) for training, cross-validation, and prediction sets, respectively. The best classification results for human and murine enzyme inhibition are found using kNN. Human classification rates using a seven-descriptor model for training and prediction sets are 89.1% and 91.4%, respectively. Murine classification rates using a five-descriptor model for training and prediction sets are 91.5% and 88.6%, respectively.

Leukotriene A4 hydrolase.

The leukotrienes (LTs) are a family of lipid mediators involved in inflammation and allergy. Leukotriene B4 is a classical chemoattractant, which triggers adherence and aggregation of leukocytes to the endothelium at only nanomolar concentrations. In addition, leukotriene B4 modulates immune responses, participates in the host-defense against infections, and is a key mediator of PAF-induced lethal shock. Because of these powerful biological effects, leukotriene B4 is implicated in a variety of acute and chronic inflammatory diseases, e.g. nephritis, arthritis, dermatitis, and chronic obstructive pulmonary disease. The final step in the biosynthesis of leukotriene B4 is catalyzed by leukotriene A4 hydrolase, a unique bi-functional zinc metalloenzyme with an anion-dependent aminopeptidase activity. Here we describe the most recent developments regarding our understanding of the structure, function, and catalytic mechanisms of leukotriene A4 hydrolase.

Epoxide hydrolases: biochemistry and molecular biology.

Epoxides are organic three-membered oxygen compounds that arise from oxidative metabolism of endogenous, as well as xenobiotic compounds via chemical and enzymatic oxidation processes, including the cytochrome P450 monooxygenase system. The resultant epoxides are typically unstable in aqueous environments and chemically reactive. In the case of xenobiotics and certain endogenous substances, epoxide intermediates have been implicated as ultimate mutagenic and carcinogenic initiators Adams et al. (Chem. Biol. Interact. 95 (1995) 57-77) Guengrich (Properties and Metabolic roles 4 (1982) 5-30) Sayer et al. (J. Biol. Chem. 260 (1985) 1630-1640). Therefore, it is of vital importance for the biological organism to regulate levels of these reactive species. The epoxide hydrolases (E.C. 3.3.2. 3) belong to a sub-category of a broad group of hydrolytic enzymes that include esterases, proteases, dehalogenases, and lipases Beetham et al. (DNA Cell Biol. 14 (1995) 61-71). In particular, the epoxide hydrolases are a class of proteins that catalyze the hydration of chemically reactive epoxides to their corresponding dihydrodiol products. Simple epoxides are hydrated to their corresponding vicinal dihydrodiols, and arene oxides to trans-dihydrodiols. In general, this hydration leads to more stable and less reactive intermediates, however exceptions do exist. In mammalian species, there are at least five epoxide hydrolase forms, microsomal cholesterol 5,6-oxide hydrolase, hepoxilin A(3) hydrolase, leukotriene A(4) hydrolase, soluble, and microsomal epoxide hydrolase. Each of these enzymes is distinct chemically and immunologically. Table 1 illustrates some general properties for each of these classes of hydrolases. Fig. 1 provides an overview of selected model substrates for each class of epoxide hydrolase.

Limonene-1,2-epoxide hydrolase from Rhodococcus erythropolis DCL14 belongs to a novel class of epoxide hydrolases.

An epoxide hydrolase from Rhodococcus erythropolis DCL14 catalyzes the hydrolysis of limonene-1,2-epoxide to limonene-1,2-diol. The enzyme is induced when R. erythropolis is grown on monoterpenes, reflecting its role in the limonene degradation pathway of this microorganism. Limonene-1,2-epoxide hydrolase was purified to homogeneity. It is a monomeric cytoplasmic enzyme of 17 kDa, and its N-terminal amino acid sequence was determined. No cofactor was required for activity of this colorless enzyme. Maximal enzyme activity was measured at pH 7 and 50 degrees C. None of the tested inhibitors or metal ions inhibited limonene-1,2-epoxide hydrolase activity. Limonene-1,2-epoxide hydrolase has a narrow substrate range. Of the compounds tested, only limonene-1,2-epoxide, 1-methylcyclohexene oxide, cyclohexene oxide, and indene oxide were substrates. This report shows that limonene-1,2-epoxide hydrolase belongs to a new class of epoxide hydrolases based on (i) its low molecular mass, (ii) the absence of any significant homology between the partial amino acid sequence of limonene-1,2-epoxide hydrolase and amino acid sequences of known epoxide hydrolases, (iii) its pH profile, and (iv) the inability of 2-bromo-4'-nitroacetophenone, diethylpyrocarbonate, 4-fluorochalcone oxide, and 1, 10-phenanthroline to inhibit limonene-1,2-epoxide hydrolase activity.

Sequence similarity of mammalian epoxide hydrolases to the bacterial haloalkane dehalogenase and other related proteins. Implication for the potential catalytic mechanism of enzymatic epoxide hydrolysis.

Direct comparison of the amino acid sequences of microsomal and soluble epoxide hydrolase superficially indicates that these enzymes are unrelated. Both proteins, however, share significant sequence similarity to a bacterial haloalkane dehalogenase that has earlier been shown to belong to the alpha/beta hydrolase fold family of enzymes. The catalytic mechanism for the dehalogenase has been elucidated in detail [Verschueren et al. (1993) Nature 363, 693-698] and proceeds via an ester intermediate where the substrate is covalently bound to the enzyme. From these observations we conclude (i) that microsomal and soluble epoxide hydrolase are distantly related enzymes that have evolved from a common ancestral protein together with the haloalkane dehalogenase and a variety of other proteins specified in the present paper, (ii) that these enzymes most likely belong to the alpha/beta hydrolase fold family of enzymes and (iii) that the enzymatic epoxide hydrolysis proceeds via a hydroxy ester intermediate, in contrast to the presently favoured base-catalyzed direct attack of the epoxide by an activated water.