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      Identification of Euglena gracilis β-1,3-glucan phosphorylase and establishment of a new glycoside hydrolase (GH) family GH149

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          Abstract

          Glycoside phosphorylases (EC 2.4.x.x) carry out the reversible phosphorolysis of glucan polymers, producing the corresponding sugar 1-phosphate and a shortened glycan chain. β-1,3-Glucan phosphorylase activities have been reported in the photosynthetic euglenozoan Euglena gracilis, but the cognate protein sequences have not been identified to date. Continuing our efforts to understand the glycobiology of E. gracilis, we identified a candidate phosphorylase sequence, designated EgP1, by proteomic analysis of an enriched cellular protein lysate. We expressed recombinant EgP1 in Escherichia coli and characterized it in vitro as a β-1,3-glucan phosphorylase. BLASTP identified several hundred EgP1 orthologs, most of which were from Gram-negative bacteria and had 37–91% sequence identity to EgP1. We heterologously expressed a bacterial metagenomic sequence, Pro_7066 in E. coli and confirmed it as a β-1,3-glucan phosphorylase, albeit with kinetics parameters distinct from those of EgP1. EgP1, Pro_7066, and their orthologs are classified as a new glycoside hydrolase (GH) family, designated GH149. Comparisons between GH94, EgP1, and Pro_7066 sequences revealed conservation of key amino acids required for the phosphorylase activity, suggesting a phosphorylase mechanism that is conserved between GH94 and GH149. We found bacterial GH149 genes in gene clusters containing sugar transporter and several other GH family genes, suggesting that bacterial GH149 proteins have roles in the degradation of complex carbohydrates. The Bacteroidetes GH149 genes located to previously identified polysaccharide utilization loci, implicated in the degradation of complex carbohydrates. In summary, we have identified a eukaryotic and a bacterial β-1,3-glucan phosphorylase and uncovered a new family of phosphorylases that we name GH149.

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          PHYML Online—a web server for fast maximum likelihood-based phylogenetic inference

          PHYML Online is a web interface to PHYML, a software that implements a fast and accurate heuristic for estimating maximum likelihood phylogenies from DNA and protein sequences. This tool provides the user with a number of options, e.g. nonparametric bootstrap and estimation of various evolutionary parameters, in order to perform comprehensive phylogenetic analyses on large datasets in reasonable computing time. The server and its documentation are available at .
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            PULDB: the expanded database of Polysaccharide Utilization Loci

            Abstract The Polysaccharide Utilization Loci (PUL) database was launched in 2015 to present PUL predictions in ∼70 Bacteroidetes species isolated from the human gastrointestinal tract, as well as PULs derived from the experimental data reported in the literature. In 2018 PULDB offers access to 820 genomes, sampled from various environments and covering a much wider taxonomical range. A Krona dynamic chart was set up to facilitate browsing through taxonomy. Literature surveys now allows the presentation of the most recent (i) PUL repertoires deduced from RNAseq large-scale experiments, (ii) PULs that have been subjected to in-depth biochemical analysis and (iii) new Carbohydrate-Active enzyme (CAZyme) families that contributed to the refinement of PUL predictions. To improve PUL visualization and genome browsing, the previous annotation of genes encoding CAZymes, regulators, integrases and SusCD has now been expanded to include functionally relevant protein families whose genes are significantly found in the vicinity of PULs: sulfatases, proteases, ROK repressors, epimerases and ATP-Binding Cassette and Major Facilitator Superfamily transporters. To cope with cases where susCD may be absent due to incomplete assemblies/split PULs, we present ‘CAZyme cluster’ predictions. Finally, a PUL alignment tool, operating on the tagged families instead of amino-acid sequences, was integrated to retrieve PULs similar to a query of interest. The updated PULDB website is accessible at www.cazy.org/PULDB_new/
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              Automatic prediction of polysaccharide utilization loci in Bacteroidetes species.

              A bacterial polysaccharide utilization locus (PUL) is a set of physically linked genes that orchestrate the breakdown of a specific glycan. PULs are prevalent in the Bacteroidetes phylum and are key to the digestion of complex carbohydrates, notably by the human gut microbiota. A given Bacteroidetes genome can encode dozens of different PULs whose boundaries and precise gene content are difficult to predict.
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                Author and article information

                Journal
                J Biol Chem
                J. Biol. Chem
                jbc
                jbc
                JBC
                The Journal of Biological Chemistry
                American Society for Biochemistry and Molecular Biology (11200 Rockville Pike, Suite 302, Rockville, MD 20852-3110, U.S.A. )
                0021-9258
                1083-351X
                23 February 2018
                9 January 2018
                9 January 2018
                : 293
                : 8
                : 2865-2876
                Affiliations
                From the []Department of Biological Chemistry, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, United Kingdom,
                the [§ ]Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, United Kingdom,
                []Architecture et Fonction des Macromolécules Biologiques, Aix-Marseille University, 163 Avenue de Luminy, 13288 Marseille, France,
                []CNRS, UMR 7257, 163 Avenue de Luminy, 13288 Marseille, France, and
                the [** ]Department of Biological Sciences, King Abdulaziz University, Jeddah 23218, Saudi Arabia
                Author notes
                [1 ] To whom correspondence should be addressed. E-mail: rob.field@ 123456jic.ac.uk .

                Edited by Gerald W. Hart

                Article
                RA117.000936
                10.1074/jbc.RA117.000936
                5827456
                29317507
                90792035-18a8-48fc-b53e-42b84fb758e2
                © 2018 by The American Society for Biochemistry and Molecular Biology, Inc.

                Author's Choice—Final version free via Creative Commons CC-BY license.

                History
                : 24 November 2017
                : 22 December 2017
                Funding
                Funded by: RCUK Biotechnology and Biological Sciences Research Council (BBSRC) , open-funder-registry 10.13039/501100000268;
                Award ID: BB/J004561/1
                Award ID: BB/M02903411
                Funded by: John Innes Foundation (JIF) , open-funder-registry 10.13039/501100004034;
                Award ID: Graduate Student Scholarship
                Funded by: Royal Thai Government scholarship
                Award ID: Graduate Student Scholarship
                Categories
                Enzymology

                Biochemistry
                phosphorylase,gram-negative bacteria,polysaccharide,glycoside hydrolase,glycobiology,phylogenetics,algae,molecular evolution,gene transfer,beta-1,3-glucan,euglena gracilis,orthologs,polysaccharide utilization loci

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