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      Widespread Family of NAD +-Dependent Sulfoquinovosidases at the Gateway to Sulfoquinovose Catabolism

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          Abstract

          The sulfosugar sulfoquinovose (SQ) is produced by photosynthetic plants, algae, and cyanobacteria on a scale of 10 billion tons per annum. Its degradation, which is essential to allow cycling of its constituent carbon and sulfur, involves specialized glycosidases termed sulfoquinovosidases (SQases), which release SQ from sulfolipid glycoconjugates, so SQ can enter catabolism pathways. However, many SQ catabolic gene clusters lack a gene encoding a classical SQase. Here, we report the discovery of a new family of SQases that use an atypical oxidoreductive mechanism involving NAD + as a catalytic cofactor. Three-dimensional X-ray structures of complexes with SQ and NAD + provide insight into the catalytic mechanism, which involves transient oxidation at C3. Bioinformatic survey reveals this new family of NAD +-dependent SQases occurs within sulfoglycolytic and sulfolytic gene clusters that lack classical SQases and is distributed widely including within Roseobacter clade bacteria, suggesting an important contribution to marine sulfur cycling.

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          Medium- and short-chain dehydrogenase/reductase gene and protein families

          Abstract. Short-chain dehydrogenases/reductases (SDRs) constitute a large family of NAD(P)(H)-dependent oxidoreductases, sharing sequence motifs and displaying similar mechanisms. SDR enzymes have critical roles in lipid, amino acid, carbohydrate, cofactor, hormone and xenobiotic metabolism as well as in redox sensor mechanisms. Sequence identities are low, and the most conserved feature is an α/β folding pattern with a central beta sheet flanked by 2–3 α-helices from each side, thus a classical Rossmannfold motif for nucleotide binding. The conservation of this element and an active site, often with an Asn-Ser-Tyr-Lys tetrad, provides a platform for enzymatic activities encompassing several EC classes, including oxidoreductases, epimerases and lyases. The common mechanism is an underlying hydride and proton transfer involving the nicotinamide and typically an active site tyrosine residue, whereas substrate specificity is determined by a variable C-terminal segment. Relationships exist with bacterial haloalcohol dehalogenases, which lack cofactor binding but have the active site architecture, emphasizing the versatility of the basic fold in also generating hydride transfer-independent lyases. The conserved fold and nucleotide binding emphasize the role of SDRs as scaffolds for an NAD(P)(H) redox sensor system, of importance to control metabolic routes, transcription and signalling.
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            The EFI Web Resource for Genomic Enzymology Tools: Leveraging Protein, Genome, and Metagenome Databases to Discover Novel Enzymes and Metabolic Pathways

            The assignment of functions to uncharacterized proteins discovered in genome projects requires easily accessible tools and computational resources for large-scale, user-friendly leveraging of the protein, genome, and metagenome databases by experimentalists. This article describes the web resource developed by the Enzyme Function Initiative (EFI; accessed at https://efi.igb.illinois.edu/ ) that provides “genomic enzymology” tools (“web tools”) for 1) generating sequence similarity networks (SSNs) for protein families (EFI-EST); 2) analyzing and visualizing genome context of the proteins in clusters in SSNs (in genome neighborhood networks, GNNs, and genome neighborhood diagrams, GNDs) (EFI-GNT); and 3) prioritizing uncharacterized SSN clusters for functional assignment based on metagenome abundance (chemically guided functional profiling, CGFP) (EFI-CGFP). The SSNs generated by EFI-EST are used as the input for EFI-GNT and EFI-CGFP, enabling easy transfer of information among the tools. The networks are visualized and analyzed using Cytoscape, a widely used desktop application; GNDs and CGFP heatmaps summarizing metagenome abundance are viewed within the tools. We provide a detailed example of the integrated use of the tools with an analysis of glycyl radical enzyme superfamily (IPR004184) found in the human gut microbiome. This analysis demonstrates that 1) SwissProt annotations are not always correct, 2) large-scale genome context analyses allow the prediction of novel metabolic pathways, and 3) metagenome abundance can be used to identify/prioritize uncharacterized proteins for functional investigation.
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              Bacterial glycosidases for the production of universal red blood cells.

              Enzymatic removal of blood group ABO antigens to develop universal red blood cells (RBCs) was a pioneering vision originally proposed more than 25 years ago. Although the feasibility of this approach was demonstrated in clinical trials for group B RBCs, a major obstacle in translating this technology to clinical practice has been the lack of efficient glycosidase enzymes. Here we report two bacterial glycosidase gene families that provide enzymes capable of efficient removal of A and B antigens at neutral pH with low consumption of recombinant enzymes. The crystal structure of a member of the alpha-N-acetylgalactosaminidase family reveals an unusual catalytic mechanism involving NAD+. The enzymatic conversion processes we describe hold promise for achieving the goal of producing universal RBCs, which would improve the blood supply while enhancing the safety of clinical transfusions.
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                Author and article information

                Journal
                J Am Chem Soc
                J Am Chem Soc
                ja
                jacsat
                Journal of the American Chemical Society
                American Chemical Society
                0002-7863
                1520-5126
                15 December 2023
                27 December 2023
                : 145
                : 51
                : 28216-28223
                Affiliations
                []School of Chemistry, University of Melbourne , Parkville, Victoria 3010, Australia
                []Bio21 Molecular Science and Biotechnology Institute, University of Melbourne , Parkville, Victoria 3010, Australia
                [§ ]York Structural Biology Laboratory, Department of Chemistry, University of York , York YO10 5DD, U.K.
                []ACRF Chemical Biology Division, The Walter and Eliza Hall Institute of Medical Research , Parkville, Victoria 3010, Australia
                []Department of Medical Biology, University of Melbourne , Parkville, Victoria 3010, Australia
                [# ]Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity , Melbourne, Victoria 3000, Australia
                Author notes
                Author information
                https://orcid.org/0000-0003-3960-2212
                https://orcid.org/0000-0003-2556-8316
                https://orcid.org/0000-0003-1202-6614
                https://orcid.org/0000-0002-8181-9733
                https://orcid.org/0000-0002-7343-776X
                https://orcid.org/0000-0001-6341-4364
                Article
                10.1021/jacs.3c11126
                10755693
                38100472
                1e2cc4a4-681d-4443-ae5c-0ccc967515c5
                © 2023 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 09 October 2023
                : 30 November 2023
                : 30 November 2023
                Funding
                Funded by: Brian M. Davis Charitable Foundation, doi NA;
                Award ID: NA
                Funded by: Diamond Light Source, doi 10.13039/100011889;
                Award ID: mx-32736
                Funded by: State Government of Victoria, doi 10.13039/501100004752;
                Award ID: NA
                Funded by: Walter and Eliza Hall Institute of Medical Research, doi 10.13039/501100020730;
                Award ID: NA
                Funded by: National Health and Medical Research Council, doi 10.13039/501100000925;
                Award ID: GNT2021638
                Funded by: University of Melbourne, doi 10.13039/501100001782;
                Award ID: NA
                Funded by: National Health and Medical Research Council, doi 10.13039/501100000925;
                Award ID: GNT2000517
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                Award ID: FT200100270
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                Award ID: DP230102668
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                Award ID: DP210100362
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                Award ID: DP210100235
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                Award ID: DP210100233
                Funded by: European Research Council, doi 10.13039/501100000781;
                Award ID: 951231
                Funded by: Royal Society, doi 10.13039/501100000288;
                Award ID: NA
                Funded by: Biotechnology and Biological Sciences Research Council, doi 10.13039/501100000268;
                Award ID: BB/W003805/1
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                ja3c11126

                Chemistry
                Chemistry

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