Engineering of <i>O</i>-α-Glycoligase to Expand Substrate Repertoire toward Glucose 1-Phosphate

<i>O</i>-α-Glycoligases are mutants of retaining α-glycosidases that lack a catalytic acid/base residue and catalyze the transglycosylation to form α-<i>O</i>-glycosides using α-glycosyl fluorides as donor substrates. This study reports the engineering of an <i>O</i>-α-glycoligase (MalA-D416A) derived from a thermostable α-glucosidase from <i>Saccharolobus solfataricus</i> to use α-glucose 1-phosphate (Glc-1-P) as an alternative donor substrate for flavonoid α-glucosylation. The triple mutant (MalA-D87Q/D416T/A482Y) showed a significant improvement in catalytic efficiency: 25.8-fold for Glc-1-P and 29.5-fold for genistein. Unlike reactions with α-glucosyl fluoride that favor alkaline pH, optimal transglycosylation with Glc-1-P occurred at neutral pH. Due to its hydrolytic activity toward both the donor and the transfer product, and the phosphorylation of the glucosyl moiety in the enzyme intermediate by free phosphate ions, use of a 10:1 molar ratio of donor to flavonoid acceptors in the presence of 30 mM CaCl<sub>2</sub> increased the overall conversion yield from 28.5% for genistein to 54.6-64.6% across six flavonoids tested. Molecular docking analysis indicated that the D87Q mutation improved the binding of Glc-1-P, while A482Y reshapes the acceptor binding pocket to favor effective bond formation of flavonoid 7-hydroxyl groups with the anomeric carbon of the glucosyl moiety in the enzyme intermediate.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-08-18
DOI
https://doi.org/10.1021/acs.jafc.5c06568
Primary Topic
Biochemical and Molecular Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering of O-α-Glycoligase to Expand Substrate Repertoire toward Glucose 1-Phosphate

Mi-Jin Lee, Jetendra Kumar Roy, Young-Wan Kim, Jaeick Lee
Journal of Agricultural and Food Chemistry
Biochemical and Molecular Research
article

Engineering of O-α-Glycoligase to Expand Substrate Repertoire toward Glucose 1-Phosphate

Mi-Jin Lee, Jetendra Kumar Roy, Young-Wan Kim, Jaeick Lee
article en

Abstract

<i>O</i>-α-Glycoligases are mutants of retaining α-glycosidases that lack a catalytic acid/base residue and catalyze the transglycosylation to form α-<i>O</i>-glycosides using α-glycosyl fluorides as donor substrates. This study reports the engineering of an <i>O</i>-α-glycoligase (MalA-D416A) derived from a thermostable α-glucosidase from <i>Saccharolobus solfataricus</i> to use α-glucose 1-phosphate (Glc-1-P) as an alternative donor substrate for flavonoid α-glucosylation. The triple mutant (MalA-D87Q/D416T/A482Y) showed a significant improvement in catalytic efficiency: 25.8-fold for Glc-1-P and 29.5-fold for genistein. Unlike reactions with α-glucosyl fluoride that favor alkaline pH, optimal transglycosylation with Glc-1-P occurred at neutral pH. Due to its hydrolytic activity toward both the donor and the transfer product, and the phosphorylation of the glucosyl moiety in the enzyme intermediate by free phosphate ions, use of a 10:1 molar ratio of donor to flavonoid acceptors in the presence of 30 mM CaCl<sub>2</sub> increased the overall conversion yield from 28.5% for genistein to 54.6-64.6% across six flavonoids tested. Molecular docking analysis indicated that the D87Q mutation improved the binding of Glc-1-P, while A482Y reshapes the acceptor binding pocket to favor effective bond formation of flavonoid 7-hydroxyl groups with the anomeric carbon of the glucosyl moiety in the enzyme intermediate.

Journal of Agricultural and Food ChemistryVol. 73(34)
Korea University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 81%
Biochemical and Molecular Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.