Evidence map›Paper›PMID 42154092›Full record

ReviewWorld journal of microbiology & biotechnology2026

Discovery and engineering of UDP-glycosyltransferase and its applications in natural sweetener glycosylation.

Xiaona Chen, Jiajie Ding, Honghua Jia, Yan Li

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In one paragraph

Review in World journal of microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiaona ChenCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, China.
Jiajie DingCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, China.
Honghua JiaCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, China. hhjia@njtech.edu.cn.
Yan LiCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, China.

Funding

Jiangsu Basic Research Center for Synthetic Biology BK20233003
6 · The paper itself

Abstract

With the growing health concern on sugar consumption, the high sweetness and low calorie natural sweeteners, such as steviol glycosides, mogrosides, glycyrrhizin, and trilobatin, offer a viable alternative. Glycosylation is an effective means to enhance the functional properties of natural sweeteners. UDP-glycosyltransferases (UGTs), key enzymes that catalyze transglycosylation reactions, play a crucial role in the glycosylation of natural sweeteners. However, natural UGTs often face limitations, such as low activity, narrow substrate specificity, and undesirable regioselectivity, which hinder their applications in industrial-scale production of glycosylated natural sweeteners. This review summarizes the advancements in omics-based approaches, as well as machine learning tools for mining and discovering novel UGTs. Subsequent protein engineering methods have successfully optimized UGTs performance, resulting in enhanced activity, higher stability, improved regioselectivity, and broader substrate promiscuity. Finally, the applications of engineered UGTs in the synthesis of high-value natural sweeteners are also discussed. From our perspective, the discovery and engineering of UGTs present a promising strategy for developing new natural sweeteners.

Indexed as

GlycosyltransferasesProtein EngineeringSweetening AgentsGlycosylationMachine LearningSubstrate SpecificityGlycosyltransferasesSweetening AgentsMachine learningMiningNatural sweetenerUDP-glycosyltransferase (UGT)

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.