Discovery of solabiose phosphorylase and its application for enzymatic synthesis of solabiose from sucrose and lactose

Glycoside phosphorylases (GPs), which catalyze the reversible phosphorolysis of glycosides, are promising enzymes for the efficient production of glycosides. Various GPs with new catalytic activities are discovered from uncharacterized proteins phylogenetically distant from known enzymes in the past decade. In this study, we characterized Paenibacillus borealis PBOR_28850 protein, belonging to glycoside hydrolase family 94. Screening of acceptor substrates for reverse phosphorolysis, in which α-d-glucose 1-phosphate was used as the donor substrate, revealed that the recombinant PBOR_28850 produced in Escherichia coli specifically utilized d-galactose as an acceptor and produced solabiose (β-d-Glcp-(1 → 3)-d-Gal). This indicates that PBOR_28850 is a new GP, solabiose phosphorylase. PBOR_28850 catalyzed the phosphorolysis and synthesis of solabiose through a sequential bi-bi mechanism involving the formation of a ternary complex. The production of solabiose from lactose and sucrose has been established. Lactose was hydrolyzed to d-galactose and d-glucose by β-galactosidase. Phosphorolysis of sucrose and synthesis of solabiose were then coupled by adding sucrose, sucrose phosphorylase, and PBOR_28850 to the reaction mixture. Using 210 mmol lactose and 280 mmol sucrose, 207 mmol of solabiose was produced. Yeast treatment degraded the remaining monosaccharides and sucrose without reducing solabiose. Solabiose with a purity of 93.7% was obtained without any chromatographic procedures.

A Case Study of the Glycoside Hydrolase Enzyme Mechanism Using an Automated QM-cluster Model Building Toolkit

Glycoside hydrolase enzymes are important for hydrolyzing the β-1,4 glycosidic bond in polysaccharides for deconstruction of carbohydrates. The two-step retaining reaction mechanism was explored with different sized QM-cluster models built by the Residue Interaction Network ResidUe Selector (RINRUS) software using both the wild-type protein and its E217Q mutant. The first step is the glycosylation, in which the acidic residue 217 donates a proton to the glycosidic oxygen leading to bond cleavage. In the subsequent deglycosylation step, one water molecule migrates into the active site and attacks the anomeric carbon. Residue interaction-based QM-cluster models lead to reliable structural and energetic results for proposed glycoside hydrolase mechanisms. The free energies of activation for glycosylation in the largest QM-cluster models were predicted to be 19.5 and 31.4 kcal mol for the wild-type protein and its E217Q mutant, which agree with experimental trends that mutation of the acidic residue Glu217 to Gln will slow down the reaction, and are higher in free energy than the deglycosylation transition states (13.8 and 25.5 kcal mol for the wild-type protein and its mutant, respectively). For the mutated protein, glycosylation led to a low-energy product. This thermodynamic sink may correspond to the intermediate state which was isolated in the X-ray crystal structure. Hence, the glycosylation is validated to be the rate-limiting step in both the wild-type and mutated enzyme. The E217Q mutation led to a higher glycosylation activation free energy that also agrees with experimental observation that mutation of E217 will slow down the reaction, but not deactivate catalysis.

In vitro activities of cellulase and ceftazidime, alone and in combination against Pseudomonas aeruginosa biofilms

Background Biofilms are a main pathogenicity feature of Pseudomonas aeruginosa and has a significant role in antibiotic resistance and persistent infections in humans. We investigated the in vitro activities of antibiotic ceftazidime and enzyme cellulase, either alone or in combination against biofilms of P. aeruginosa. Results Both ceftazidime and cellulase significantly decreased biofilm formation in all strains in a dose-dependent manner. Combination of enzyme at concentrations of 1.25, 2.5, 5, and 10 U/mL tested with 1/16× MIC of antibiotic led to a significant reduction in biofilm biomass. Cellulase showed a significant detachment effect on biofilms at three concentrations of 10 U/mL, 5 U/mL, and 2.5 U/mL. The MIC, MBC, and MBEC values of ceftazidime were 2 to 4 µg/mL, 4 to 8 µg/mL, and 2048 to 8192 µg/mL. When combined with cellulase, the MBECs of antibiotic showed a significant decrease from 32- to 128-fold. Conclusions Combination of the ceftazidime and the cellulase had significant anti-biofilm effects, including inhibition of biofilm formation and biofilm eradication in P. aeruginosa. These data suggest that glycoside hydrolase therapy as a novel strategy has the potential to enhance the efficacy of antibiotics and helps to resolve biofilm-associated wound infections caused by this pathogen.

In situ visualization of glycoside hydrolase family 92 genes in marine flavobacteria

Gene clusters rich in carbohydrate-active enzymes within Flavobacteriia genera provide a competitiveness for their hosts to degrade diatom-derived polysaccharides. One such widely distributed polysaccharide is glucuronomannan, a main cell wall component of diatoms. A conserved gene cluster putatively degrading glucuronomannan was found previously among various flavobacterial taxa in marine metagenomes. Here, we aimed to visualize two glycoside hydrolase family 92 genes coding for α-mannosidases with fluorescently-labeled polynucleotide probes using direct-geneFISH. Reliable in situ localization of single-copy genes was achieved with an efficiency up to 74% not only in the flavobacterial strains Polaribacter Hel1_33_49 and Formosa Hel1_33_131 but also in planktonic samples from the North Sea. In combination with high-resolution microscopy, direct-geneFISH gave visual evidence of the contrasting lifestyles of closely related Polaribacter species in those samples and allowed for the determination of gene distribution among attached and free-living cells. We also detected highly similar GH92 genes in yet unidentified taxa by broadening probe specificities, enabling a visualization of the functional trait in subpopulations across the borders of species and genera. Such a quantitative insight into the niche separation of flavobacterial taxa complements our understanding of the ecology of polysaccharide-degrading bacteria beyond omics-based techniques on a single-cell level.