PreprintCited by 14Enzyme Catalysis and ImmobilizationCarbohydrate Chemistry and SynthesisPlant biochemistry and biosynthesis

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Regioselective glycosylation of polyphenols by family 1 glycosyltransferases: experiments and simulations

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de Boer, Ruben Marcel, Vaitkus, Dovydas, Enemark-Rasmussen, Kasper, Maschmann, Sören, Teze, David, Hededam Welner, Ditte·2023·ACS Omega

Preprint — published as 10.1021/acsomega.3c08255

Abstract

Family 1 glycosyltransferases (GT1s, UGTs) form natural product glycosides with exquisite control over regio- and stereoselectivity, representing attractive biotechnological targets. However, regioselectivity cannot be predicted and large-scale activity assessment efforts of UGTs are commonly performed via mass spectrometry or indirect assays that are blind to regioselectivity. Here, we present a large HPLC screening discriminating between regioisomeric products of 40 diverse UGTs (28.6% average pairwise sequence identity) against 32 polyphenols, identifying enzymes able to reach high glycosylation yields (≥90% in 24h) in 26/32 cases. In reactions with >50% yield, we observed perfect regioselectivity for 47% (75/158) on polyphenols presenting two hydroxyl groups, and for 30% (43/143) on polyphenols presenting ≥3 hydroxyl groups. Moreover, we developed an NMR-based procedure to identify the site of glycosylation directly on enzymatic mixtures. We further selected seven regiospecific reactions catalyzed by four enzymes on five dihydroxycoumarins. We characterized the four enzymes, showing that temperature optima are functions of the acceptor substrate, varying by up to 20°C for the same enzyme. Furthermore, we performed short molecular dynamics simulations of 311 ternary complexes (UGT, UDP-Glc, glycosyl acceptor) to investigate the molecular basis for regioselectivity. Interestingly, it appeared that most UGTs can accommodate acceptors in configurations favorable to the glycosylation of either hydroxyl. In contrast, evaluation of hydroxyl nucleophilicity appeared a strong predictor of the hydroxyl predominantly glycosylated by most enzymes.

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Crossref · 10.26434/chemrxiv-2023-35mmv

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Figures

Scheme 1 Glycosides Generated in This Study through Regiospecific Glycosylation by RhUGT1 (Blue), OsUGT88C1 (Green), GmUGT88E3 (Purple), and AtUGT78D2 (Red)
Scheme 1 Glycosides Generated in This Study through Regiospecific Glycosylation by RhUGT1 (Blue), OsUGT88C1 (Green), GmUGT88E3 (Purple), and AtUGT78D2 (Red)CC BY-NC-ND · PubMed Central
Figure 1 Biochemical characterization. Carried out with 100 μM acceptor and 500 μM UDP-Glc in the presence of UGT as described in the Experimental Section. (A) Initial rate of product formation is plotted against the corresponding pH value. The maximum activity is defined as the highest observed rate of product formation at 293 K. (B) Temperature profiles for each reaction pair corresponding to analytical yields of product formation at optimal pH as determined in (A) and at different time points.
Figure 1 Biochemical characterization. Carried out with 100 μM acceptor and 500 μM UDP-Glc in the presence of UGT as described in the Experimental Section. (A) Initial rate of product formation is plotted against the corresponding pH value. The maximum activity is defined as the highest observed rate of product formation at 293 K. (B) Temperature profiles for each reaction pair corresponding to analytical yields of product formation at optimal pH as determined in (A) and at different time points.CC BY-NC-ND · PubMed Central
Figure 2 Selected representative snapshots of MD simulations showing reactive binding poses of every enzyme–acceptor pair. Catalytically relevant distances (Å) are shown.
Figure 2 Selected representative snapshots of MD simulations showing reactive binding poses of every enzyme–acceptor pair. Catalytically relevant distances (Å) are shown.CC BY-NC-ND · PubMed Central
Figure 3 Simulated UGT regioselectivity preferences against experimental preferences with acceptors d and e. Each dot represents the difference between experimentally observed d5 and d7 yields (x-axis), and the difference between the proportion of frames displaying productive configurations for the 7-O- or the 5-O-glucoside (y-axis). Positive values on the x-axis indicate an excess of 5-O-glucoside. Positive values on the y-axis indicate an excess of reactive poses for 5-O-glycosylation. Dotted lines indicate boundaries between preferences.
Figure 3 Simulated UGT regioselectivity preferences against experimental preferences with acceptors d and e. Each dot represents the difference between experimentally observed d5 and d7 yields (x-axis), and the difference between the proportion of frames displaying productive configurations for the 7-O- or the 5-O-glucoside (y-axis). Positive values on the x-axis indicate an excess of 5-O-glucoside. Positive values on the y-axis indicate an excess of reactive poses for 5-O-glycosylation. Dotted lines indicate boundaries between preferences.CC BY-NC-ND · PubMed Central
Figure 4 Simulated preferences against experimental preferences for acceptors d and e and the 14 UGTs that show stereospecificity against d or e. Positive values on the x-axis indicate excess of 5-O-glucoside. Positive values on the y-axis indicate excess of reactive poses for 5-O-glycosylation. Dotted lines indicate boundaries between preferences.
Figure 4 Simulated preferences against experimental preferences for acceptors d and e and the 14 UGTs that show stereospecificity against d or e. Positive values on the x-axis indicate excess of 5-O-glucoside. Positive values on the y-axis indicate excess of reactive poses for 5-O-glycosylation. Dotted lines indicate boundaries between preferences.CC BY-NC-ND · PubMed Central

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Metadata

Authors
de Boer, R. M., Vaitkus, D., Enemark-Rasmussen, K., Maschmann, S., Teze, D., & Hededam Welner, D.
Affiliations
  • Novo Nordisk Foundation (DK)
  • Technical University of Denmark
Venue
ACS Omega
Published
2023-08-23
Volume
8
Issue
48
Pages
46300-46308
ISSN
2470-1343 (ISSN-L)
OpenAlex
W4388845932
Cited by
14
References
1
Citations by year
2026: 6 · 2025: 4 · 2024: 3 · 2023: 1
FWCI
1.24
Type
journal article
Language
en
Open access
Locations
  • ACS Omega (publishedVersion, cc-by-nc-nd)
  • ChemRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
Funders
  • Novo Nordisk Fonden (NNF18OC0034744, NNF10CC1016517, NNF20CC0035580)
  • Villum Fonden
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Enzyme Catalysis and Immobilization
  • Physical Sciences › Chemistry › Organic Chemistry › Carbohydrate Chemistry and Synthesis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant biochemistry and biosynthesis
Keywords
regioselective glycosylation, polyphenols, glycosylation site identification, ternary enzyme complex, molecular dynamics simulation, enzyme screening, UDP-glucose

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