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      Bacterial Glycosyltransferases: Challenges and Opportunities of a Highly Diverse Enzyme Class Toward Tailoring Natural Products

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          Abstract

          The enzyme subclass of glycosyltransferases (GTs; EC 2.4) currently comprises 97 families as specified by CAZy classification. One of their important roles is in the biosynthesis of disaccharides, oligosaccharides, and polysaccharides by catalyzing the transfer of sugar moieties from activated donor molecules to other sugar molecules. In addition GTs also catalyze the transfer of sugar moieties onto aglycons, which is of great relevance for the synthesis of many high value natural products. Bacterial GTs show a higher sequence similarity in comparison to mammalian ones. Even when most GTs are poorly explored, state of the art technologies, such as protein engineering, domain swapping or computational analysis strongly enhance our understanding and utilization of these very promising classes of proteins. This perspective article will focus on bacterial GTs, especially on classification, screening and engineering strategies to alter substrate specificity. The future development in these fields as well as obstacles and challenges will be highlighted and discussed.

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          Most cited references72

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          An evolving hierarchical family classification for glycosyltransferases.

          Glycosyltransferases are a ubiquitous group of enzymes that catalyse the transfer of a sugar moiety from an activated sugar donor onto saccharide or non-saccharide acceptors. Although many glycosyltransferases catalyse chemically similar reactions, presumably through transition states with substantial oxocarbenium ion character, they display remarkable diversity in their donor, acceptor and product specificity and thereby generate a potentially infinite number of glycoconjugates, oligo- and polysaccharides. We have performed a comprehensive survey of glycosyltransferase-related sequences (over 7200 to date) and present here a classification of these enzymes akin to that proposed previously for glycoside hydrolases, into a hierarchical system of families, clans, and folds. This evolving classification rationalises structural and mechanistic investigation, harnesses information from a wide variety of related enzymes to inform cell biology and overcomes recurrent problems in the functional prediction of glycosyltransferase-related open-reading frames. Copyright 2003 Elsevier Science Ltd.
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            Structures and mechanisms of glycosyltransferases

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              Substrate specificity of plant UDP-dependent glycosyltransferases predicted from crystal structures and homology modeling.

              Plant family 1 UDP-dependent glycosyltransferases (UGTs) catalyze the glycosylation of a plethora of bioactive natural products. In Arabidopsis thaliana, 120 UGT encoding genes have been identified. The crystal-based 3D structures of four plant UGTs have recently been published. Despite low sequence conservation, the UGTs show a highly conserved secondary and tertiary structure. The sugar acceptor and sugar donor substrates of UGTs are accommodated in the cleft formed between the N- and C-terminal domains. Several regions of the primary sequence contribute to the formation of the substrate binding pocket including structurally conserved domains as well as loop regions differing both with respect to their amino acid sequence and sequence length. In this review we provide a detailed analysis of the available plant UGT crystal structures to reveal structural features determining substrate specificity. The high 3D structural conservation of the plant UGTs render homology modeling an attractive tool for structure elucidation. The accuracy and utility of UGT structures obtained by homology modeling are discussed and quantitative assessments of model quality are performed by modeling of a plant UGT for which the 3D crystal structure is known. We conclude that homology modeling offers a high degree of accuracy. Shortcomings in homology modeling are also apparent with modeling of loop regions remaining as a particularly difficult task.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                18 February 2016
                2016
                : 7
                : 182
                Affiliations
                [1] 1Chemistry of Biogenic Resources, Technische Universität München Straubing, Germany
                [2] 2Department of Bioinformatics, Straubing Center of Science, University of Applied Sciences Weihenstephan-Triesdorf Straubing, Germany
                Author notes

                Edited by: Robert Kourist, Ruhr-University Bochum, Germany

                Reviewed by: Martin Siemann-Herzberg, University of Stuttgart, Germany; Kerstin Steiner, Austrian Centre of Industrial Biotechnology, Austria

                *Correspondence: Jochen Schmid, j.schmid@ 123456tum.de

                This article was submitted to Microbiotechnology, Ecotoxicology and Bioremediation, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2016.00182
                4757703
                26925049
                16c4f4da-2583-4309-96b9-c69458618c00
                Copyright © 2016 Schmid, Heider, Wendel, Sperl and Sieber.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 December 2015
                : 02 February 2016
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 79, Pages: 7, Words: 0
                Funding
                Funded by: Technische Universität München 10.13039/501100005713
                Funded by: Deutsche Forschungsgemeinschaft 10.13039/501100001659
                Categories
                Microbiology
                Perspective

                Microbiology & Virology
                screening,bacterial glycosyltransferases,categorization of glycosyltransferases,substrate specificity,docking experiments,polysaccharide glycosyltransferases

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