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      A cellulose synthase-derived enzyme catalyses 3- O-glucuronosylation in saponin biosynthesis

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          Abstract

          Triterpenoid saponins are specialised metabolites distributed widely in the plant kingdom that consist of one or more sugar moieties attached to triterpenoid aglycones. Despite the widely accepted view that glycosylation is catalysed by UDP-dependent glycosyltransferase (UGT), the UGT which catalyses the transfer of the conserved glucuronic acid moiety at the C-3 position of glycyrrhizin and various soyasaponins has not been determined. Here, we report that a cellulose synthase superfamily-derived glycosyltransferase (CSyGT) catalyses 3- O-glucuronosylation of triterpenoid aglycones. Gene co-expression analyses of three legume species ( Glycyrrhiza uralensis, Glycine max, and Lotus japonicus) reveal the involvement of CSyGTs in saponin biosynthesis, and we characterise CSyGTs in vivo using Saccharomyces cerevisiae. CSyGT mutants of L. japonicus do not accumulate soyasaponin, but the ectopic expression of endoplasmic reticulum membrane–localised CSyGTs in a L. japonicus mutant background successfully complement soyasaponin biosynthesis. Finally, we produced glycyrrhizin de novo in yeast, paving the way for sustainable production of high-value saponins.

          Abstract

          Saponins such as glycyrrhizin, a natural sweetener found in licorice root, are a class of triterpenoids synthesized that are characterized by a glucoronic acid moiety at the C-3 position. Here the authors show that saponin glucuronosylation is catalyzed by cellulose-synthase like enzymes and reconstitute glycyrrhizin synthesisin yeast.

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          Most cited references64

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          RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

          Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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            Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

            We describe and validate a new membrane protein topology prediction method, TMHMM, based on a hidden Markov model. We present a detailed analysis of TMHMM's performance, and show that it correctly predicts 97-98 % of the transmembrane helices. Additionally, TMHMM can discriminate between soluble and membrane proteins with both specificity and sensitivity better than 99 %, although the accuracy drops when signal peptides are present. This high degree of accuracy allowed us to predict reliably integral membrane proteins in a large collection of genomes. Based on these predictions, we estimate that 20-30 % of all genes in most genomes encode membrane proteins, which is in agreement with previous estimates. We further discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C(in) topologies. We discuss the possible relevance of this finding for our understanding of membrane protein assembly mechanisms. A TMHMM prediction service is available at http://www.cbs.dtu.dk/services/TMHMM/. Copyright 2001 Academic Press.
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              Phytozome: a comparative platform for green plant genomics

              The number of sequenced plant genomes and associated genomic resources is growing rapidly with the advent of both an increased focus on plant genomics from funding agencies, and the application of inexpensive next generation sequencing. To interact with this increasing body of data, we have developed Phytozome (http://www.phytozome.net), a comparative hub for plant genome and gene family data and analysis. Phytozome provides a view of the evolutionary history of every plant gene at the level of sequence, gene structure, gene family and genome organization, while at the same time providing access to the sequences and functional annotations of a growing number (currently 25) of complete plant genomes, including all the land plants and selected algae sequenced at the Joint Genome Institute, as well as selected species sequenced elsewhere. Through a comprehensive plant genome database and web portal, these data and analyses are available to the broader plant science research community, providing powerful comparative genomics tools that help to link model systems with other plants of economic and ecological importance.
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                Author and article information

                Contributors
                ishimoto@affrc.go.jp
                muranaka@bio.eng.osaka-u.ac.jp
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                16 November 2020
                16 November 2020
                2020
                : 11
                : 5664
                Affiliations
                [1 ]GRID grid.136593.b, ISNI 0000 0004 0373 3971, Department of Biotechnology, Graduate School of Engineering, , Osaka University, ; 2-1, Yamadaoka, Suita, Osaka 565-0871 Japan
                [2 ]GRID grid.7597.c, ISNI 0000000094465255, RIKEN Center for Sustainable Resource Science, ; 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045 Japan
                [3 ]GRID grid.419573.d, ISNI 0000 0004 0530 891X, Institute of Crop Science, NARO, ; 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518 Japan
                [4 ]GRID grid.410590.9, ISNI 0000 0001 0699 0373, Institute of Agrobiological Sciences, NARO, ; 1-2 Owashi, Tsukuba, Ibaraki 305-8634 Japan
                [5 ]GRID grid.136304.3, ISNI 0000 0004 0370 1101, Graduate School of Pharmaceutical Sciences, , Chiba University, ; 1-8-1 Inohana, Chuo-ku, Chiba 260-8675 Japan
                [6 ]GRID grid.7597.c, ISNI 0000000094465255, Present Address: RIKEN Center for Sustainable Resource Science, ; 2-1 Hirosawa, Wako, Saitama 351-0198 Japan
                Author information
                http://orcid.org/0000-0002-4054-0947
                http://orcid.org/0000-0001-6310-5342
                http://orcid.org/0000-0003-1058-2473
                Article
                19399
                10.1038/s41467-020-19399-0
                7669905
                33199711
                a15913b9-7a20-43f5-9367-77671d96772d
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 August 2020
                : 6 October 2020
                Funding
                Funded by: The Ministry of Agriculture, Forestry and Fisheries of Japan The Japan Society for the Promotion of Science (No. JP19H02921) The Ministry of Education, Culture, Sports, Science, and Technology of Japan (No. JP19H04657)
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                transferases,metabolic engineering,molecular engineering in plants,secondary metabolism

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