In the literature measurements of kinetic data of enzymes in reversed micelles have been interpreted in two ways. In the first, all enzyme parameters are expressed with respect to the total volume of the reversed micellar solution. In the second, the enzymatic conversion is related only to the fraction of the volume consisting of aqueous solution (pseudophase model). In this paper equations are derived describing the rate of an enzymatic reaction for three different kinds of enzymes : enzymes obeying Michaelis-Menten kinetics, enzymes following a ping-pong bi-bi mechanism and enzymes which convert substrates according to an ordered mechanism. In deriving these equations, a distinction is made between intermicellar exchange reactions of substrate(s) and product(s) and the enzymatic reaction which takes place in the waterpool of a reversed micelle. In the description, all intrinsic rate constants of the enzyme are assumed to be independent of its environment. The rate equations show that the presence and efficiency of the intermicellar exchange reaction, which supplies the enzyme with substrate and removes product, can affect the rate of an enzymatic reaction under common experimental conditions.Whereas kinetic parameters derived from double-reciprocal plots often seem to be affected by enclosure in reversed micelles, these apparent deviations from kinetics in aqueous media can be explained by the model presented here as arising from exchange phenomena. Neither the experimentally determined maximum enzyme velocity, v , , , , nor the Michaelis constants are affected by the incorporation of the enzyme in reversed micelles.The deviations of kinetic parameters from the aqueous values are shown to depend strongly on the concentration of reversed micelles, the intermicellar exchange rate and the volume fraction of water, a dependence in agreement with findings reported in the literature.Reversed micelles are 1 -10-nm-diameter water droplets, dispersed by means of a surfactant, alone or in combination with a cosurfactant, in an organic solvent. The layer of surfaceactive compounds protects the enzymes in the water droplets from the adverse effects of the organic solvent. It has been well established that enzymes can be incorporated into reversed micelles in an active form (for reviews see [l, 21). Enzymes in reversed micelles can convert polar and apolar substrates. For polar substrates, a process of collision followed by opening up of the surfactant layer and mixing of the waterpools of substrate-and enzyme-filled reversed micelles enables substrate supply and product removal [3,4]. Effects of the enclos- ' s -I ) ; kin, rate of transport from a solute from the organic phasc into the reversed micelle; k,,,, rate of transport from a solutc from waterpool to the organic phasc; [MI, concentration of reversed micelles; m, occupation number of a substrate or a product in an enzyme and substrate-or product-filled reversed micelle; %', weighted average substrate or product occupation number in reversed micelles containing bot...
BackgroundMany filamentous fungal genomes contain complex groups of multicopper oxidase (MCO) coding genes that makes them a good source for new laccases with potential biotechnological interest. A bioinformatics analysis of the Aspergillus niger ATCC 1015 genome resulted in the identification of thirteen MCO genes. Ten of them were cloned and homologously overexpressed.ResultsA bioinformatic analysis of the A. niger ATCC 1015 genome revealed the presence of 13 MCO genes belonging to three different subfamilies on the basis of their phylogenetic relationships: ascomycete laccases, fungal pigment MCOs and fungal ferroxidases. According to in silico amino acid sequence analysis, the putative genes encoding for functional extracellular laccases (mcoA, mcoB, mcoC, mcoD, mcoE, mcoF, mcoG, mcoI, mcoJ and mcoM) were placed under the control of the glaA promoter and overexpressed in A. niger N593. Enzyme activity plate assays with several common laccase substrates showed that all genes are actually expressed and code for active MCOs. Interestingly, expressed enzymes show different substrate specificities. In addition, optimization of fungal pigment MCOs extracellular production was investigated. The performance of the widely used glucoamylase signal sequence (ssGlaA) in McoA secretion was studied. Results obtained suggest that ssGlaA do not yield higher levels of secreted McoA when compared to its native secretion signal. Also, McoB synthesis was investigated using different nitrogen sources in minimal medium liquid cultures. Higher yields of extracellular McoB were achieved with (NH4)2 tartrate.ConclusionsAspergillus niger is a good source of new laccases. The different substrate specificity observed in plate assays makes them interesting to be purified and biochemically compared. The homologous signal sequence of McoA has been shown to be a good choice for its extracellular overexpression. From the nitrogen sources tested (NH4)2 tartrate has been found to be the most appropriate for McoB production in A. niger.
Semi-synthetic cephalosporin antibiotics belong to the top 10 of most sold drugs, and are produced from 7-aminodesacetoxycephalosporanic acid (7-ADCA). Recently new routes have been developed which allow for the production of adipyl-7-ADCA by a novel fermentation process. To complete the biosynthesis of 7-ADCA a highly active adipyl acylase is needed for deacylation of the adipyl derivative. Such an adipyl acylase can be generated from known glutaryl acylases.The glutaryl acylase of Pseudomonas SY-77 was mutated in a first round by exploration mutagenesis. For selection the mutants were grown on an adipyl substrate. The residues that are important to the adipyl acylase activity were identified, and in a second round saturation mutagenesis of this selected stretch of residues yielded variants with a threefold increased catalytic efficiency. The effect of the mutations could be rationalized on hindsight by the 3D structure of the acylase.In conclusion, the substrate specificity of a dicarboxylic acid acylase was shifted towards adipyl-7-ADCA by a two-step directed evolution strategy. Although derivatives of the substrate were used for selection, mutants retained activity on the b-lactam substrate. The strategy herein described may be generally applicable to all b-lactam acylases.
Feruloyl esterases (FAEs) are a diverse group of enzymes that specifically catalyze the hydrolysis of ester bonds between a hydroxycinnamic (e.g. ferulic) acid and plant poly- or oligosaccharides. FAEs as auxiliary enzymes significantly assist xylanolytic and pectinolytic enzymes in gaining access to their site of action during biomass saccharification for biofuel and biochemical production. A limited number of FAEs have been functionally characterized compared to over 1000 putative fungal FAEs that were recently predicted by similarity-based genome mining, which divided phylogenetically into different subfamilies (SFs). In this study, 27 putative and six characterized FAEs from both ascomycete and basidiomycete fungi were selected and heterologously expressed in Pichia pastoris and the recombinant proteins biochemically characterized to validate the previous genome mining and phylogenetical grouping and to expand the information on activity of fungal FAEs. As a result, 20 enzymes were shown to possess FAE activity, being active towards pNP-ferulate and/or methyl hydroxycinnamate substrates, and covering 11 subfamilies. Most of the new FAEs showed activities comparable to those of previously characterized fungal FAEs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.