Upward shift of the pH optimum of Acremonium ascorbate oxidase

Shifting the pH Optima of (R)-Selective Transaminases by Protein Engineering

Amine transaminases (ATAs) are powerful biocatalysts for the stereoselective synthesis of chiral amines. However, wild-type ATAs usually show pH optima at slightly alkaline values and exhibit low catalytic activity under physiological conditions. For efficient asymmetric synthesis ATAs are commonly used in combination with lactate dehydrogenase (LDH, optimal pH: 7.5) and glucose dehydrogenase (GDH, optimal pH: 7.75) to shift the equilibrium towards the synthesis of the target chiral amine and hence their pH optima should fit to each other. Based on a protein structure alignment, variants of (R)-selective transaminases were rationally designed, produced in E. coli, purified and subjected to biochemical characterization. This resulted in the discovery of the variant E49Q of the ATA from Aspergillus fumigatus, for which the pH optimum was successfully shifted from pH 8.5 to 7.5 and this variant furthermore had a two times higher specific activity than the wild-type protein at pH 7.5. A possible mechanism for this shift of the optimal pH is proposed. Asymmetric synthesis of (R)-1-phenylethylamine from acetophenone in combination with LDH and GDH confirmed that the variant E49Q shows superior performance at pH 7.5 compared to the wild-type enzyme.

Tuning the pH profile of β-glucuronidase by rational site-directed mutagenesis for efficient transformation of glycyrrhizin

In this study, we aimed to shift the optimal pH of acidic β-glucuronidase from Aspergillus oryzae Li-3 (PGUS) to the neutral region by site-directed mutagenesis, thus allowing high efficient biotransformation of glycyrrhizin (GL) into glycyrrhetinic acid (GA) under higher pH where the solubility of GL could be greatly enhanced. Based on PGUS structure analysis, five critical aspartic acid and glutamic acid residues were replaced with arginine on the surface to generate a variant 5Rs with optimal pH shifting from 4.5 to 6.5. The catalytic efficiency (k_cat /K_m) value of 5Rs at pH 6.5 was 10.7-fold higher than that of PGUS wild-type at pH 6.5, even 1.4-fold higher than that of wild-type at pH 4.5. Molecular dynamics simulation was performed to explore the molecular mechanism for the shifted pH profile and enhanced pH stability of 5Rs.

Sequence homolog-based molecular engineering for shifting the enzymatic pH optimum

Cell-free synthetic biology system organizes multiple enzymes (parts) from different sources to implement unnatural catalytic functions. Highly adaption between the catalytic parts is crucial for building up efficient artificial biosynthetic systems. Protein engineering is a powerful technology to tailor various enzymatic properties including catalytic efficiency, substrate specificity, temperature adaptation and even achieve new catalytic functions. However, altering enzymatic pH optimum still remains a challenging task. In this study, we proposed a novel sequence homolog-based protein engineering strategy for shifting the enzymatic pH optimum based on statistical analyses of sequence-function relationship data of enzyme family. By two statistical procedures, artificial neural networks (ANNs) and least absolute shrinkage and selection operator (Lasso), five amino acids in GH11 xylanase family were identified to be related to the evolution of enzymatic pH optimum. Site-directed mutagenesis of a thermophilic xylanase from Caldicellulosiruptor bescii revealed that four out of five mutations could alter the enzymatic pH optima toward acidic condition without compromising the catalytic activity and thermostability. Combination of the positive mutants resulted in the best mutant M31 that decreased its pH optimum for 1.5 units and showed increased catalytic activity at pH < 5.0 compared to the wild-type enzyme. Structure analysis revealed that all the mutations are distant from the active center, which may be difficult to be identified by conventional rational design strategy. Interestingly, the four mutation sites are clustered at a certain region of the enzyme, suggesting a potential "hot zone" for regulating the pH optima of xylanases. This study provides an efficient method of modulating enzymatic pH optima based on statistical sequence analyses, which can facilitate the design and optimization of suitable catalytic parts for the construction of complicated cell-free synthetic biology systems.

Elucidation of the factors affecting the oxidative activity of Acremonium sp. HI-25 ascorbate oxidase by an electrochemical approach

Steady-state kinetics of Acremonium sp. HI-25 ascorbate oxidase toward p-hydroquinone derivatives have been examined by using an electrochemical analysis based on the theory of steady-state bioelectrocatalysis. The electrochemical technique has enabled one to examine the influence of electronic and chemical properties of substrates on the activity. It was proven that the oxidative activity of ascorbate oxidase was dominated by the highly selective substrate-binding affinity based on electrostatic interaction beyond the one-electron redox potential difference between ascorbate oxidase's type 1 copper site and substrate.

Characterization of SLAC: a small laccase from Streptomyces coelicolor with unprecedented activity

Laccases and other four-copper oxidases are usually constructed of three domains: Domains one and three house the copper sites, and the second domain often helps form a substrate-binding cleft. In contrast to this arrangement, the genome of Streptomyces coelicolor was found to encode a small, four-copper oxidase that lacks the second domain. This protein is representative of a new family of enzymes--the two-domain laccases. Disruption of the corresponding gene abrogates laccase activity in the growth media. We have recombinantly expressed this enzyme, called SLAC, in Escherichia coli and characterized it. The enzyme binds four copper ions/monomer, and UV-visible absorption and EPR measurements confirm that the conserved type 1 copper site and trinuclear cluster are intact. We also report the first known paramagnetic NMR spectrum for the trinuclear copper cluster of a protein from the laccase family. The enzyme is highly stable, retaining activity as a dimer in denaturing gels after boiling and SDS treatment. The activity of the enzyme against 2,6-dimethoxyphenol (DMP) peaks at an unprecedentedly high pH (9.4), whereas the activity against ferrocyanide decreases with pH. SLAC binds negatively charged substrates more tightly than positively charged or uncharged molecules.