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      Macrocyclization and Backbone Rearrangement During RiPP Biosynthesis by a SAM-Dependent Domain-of-Unknown-Function 692

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          Abstract

          The domain of unknown function 692 (DUF692) is an emerging family of post-translational modification enzymes involved in the biosynthesis of ribosomally synthesized and post-translationally modified peptide (RiPP) natural products. Members of this family are multinuclear iron-containing enzymes, and only two members have been functionally characterized to date: MbnB and TglH. Here, we used bioinformatics to select another member of the DUF692 family, ChrH, that is encoded in the genomes of the Chryseobacterium genus along with a partner protein ChrI. We structurally characterized the ChrH reaction product and show that the enzyme complex catalyzes an unprecedented chemical transformation that results in the formation of a macrocycle, an imidazolidinedione heterocycle, two thioaminals, and a thiomethyl group. Based on isotopic labeling studies, we propose a mechanism for the four-electron oxidation and methylation of the substrate peptide. This work identifies the first SAM-dependent reaction catalyzed by a DUF692 enzyme complex, further expanding the repertoire of remarkable reactions catalyzed by these enzymes. Based on the three currently characterized DUF692 family members, we suggest the family be called multinuclear non-heme iron dependent oxidative enzymes (MNIOs).

          Abstract

          ChrH is a non-heme iron-dependent DUF692 enzyme that together with its membrane-bound partner ChrI transforms a linear peptide into a macrocycle, an imidazolidinedione, and a methylated thioaminal.

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          antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline

          Abstract Secondary metabolites produced by bacteria and fungi are an important source of antimicrobials and other bioactive compounds. In recent years, genome mining has seen broad applications in identifying and characterizing new compounds as well as in metabolic engineering. Since 2011, the ‘antibiotics and secondary metabolite analysis shell—antiSMASH’ (https://antismash.secondarymetabolites.org) has assisted researchers in this, both as a web server and a standalone tool. It has established itself as the most widely used tool for identifying and analysing biosynthetic gene clusters (BGCs) in bacterial and fungal genome sequences. Here, we present an entirely redesigned and extended version 5 of antiSMASH. antiSMASH 5 adds detection rules for clusters encoding the biosynthesis of acyl-amino acids, β-lactones, fungal RiPPs, RaS-RiPPs, polybrominated diphenyl ethers, C-nucleosides, PPY-like ketones and lipolanthines. For type II polyketide synthase-encoding gene clusters, antiSMASH 5 now offers more detailed predictions. The HTML output visualization has been redesigned to improve the navigation and visual representation of annotations. We have again improved the runtime of analysis steps, making it possible to deliver comprehensive annotations for bacterial genomes within a few minutes. A new output file in the standard JavaScript object notation (JSON) format is aimed at downstream tools that process antiSMASH results programmatically.
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            APD3: the antimicrobial peptide database as a tool for research and education

            The antimicrobial peptide database (APD, http://aps.unmc.edu/AP/) is an original database initially online in 2003. The APD2 (2009 version) has been regularly updated and further expanded into the APD3. This database currently focuses on natural antimicrobial peptides (AMPs) with defined sequence and activity. It includes a total of 2619 AMPs with 261 bacteriocins from bacteria, 4 AMPs from archaea, 7 from protists, 13 from fungi, 321 from plants and 1972 animal host defense peptides. The APD3 contains 2169 antibacterial, 172 antiviral, 105 anti-HIV, 959 antifungal, 80 antiparasitic and 185 anticancer peptides. Newly annotated are AMPs with antibiofilm, antimalarial, anti-protist, insecticidal, spermicidal, chemotactic, wound healing, antioxidant and protease inhibiting properties. We also describe other searchable annotations, including target pathogens, molecule-binding partners, post-translational modifications and animal models. Amino acid profiles or signatures of natural AMPs are important for peptide classification, prediction and design. Finally, we summarize various database applications in research and education.
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              Ribosomally synthesized and post-translationally modified peptide natural products: overview and recommendations for a universal nomenclature.

              This review presents recommended nomenclature for the biosynthesis of ribosomally synthesized and post-translationally modified peptides (RiPPs), a rapidly growing class of natural products. The current knowledge regarding the biosynthesis of the >20 distinct compound classes is also reviewed, and commonalities are discussed.
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                Author and article information

                Journal
                ACS Cent Sci
                ACS Cent Sci
                oc
                acscii
                ACS Central Science
                American Chemical Society
                2374-7943
                2374-7951
                24 April 2023
                24 May 2023
                : 9
                : 5
                : 1008-1018
                Affiliations
                []Department of Chemistry, University of Illinois at Urbana−Champaign , Urbana, 61801, Illinois, United States
                []Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana−Champaign , Urbana, 61801, Illinois, United States
                [§ ]School of Chemical Sciences NMR Laboratory, University of Illinois at Urbana−Champaign , Urbana, 61801, Illinois, United States
                []Howard Hughes Medical Institute at the University of Illinois at Urbana−Champaign , Urbana, 61801, Illinois, United States
                Author notes
                Author information
                https://orcid.org/0000-0001-6698-4020
                https://orcid.org/0000-0002-6657-271X
                https://orcid.org/0000-0002-8507-8215
                https://orcid.org/0000-0003-1386-1902
                https://orcid.org/0000-0002-5467-7071
                Article
                10.1021/acscentsci.3c00160
                10214503
                37252350
                c416d90d-6ff2-43c5-aaec-b16dc3ec4959
                © 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
                : 07 February 2023
                Funding
                Funded by: National Institute of General Medical Sciences, doi 10.13039/100000057;
                Award ID: F32 GM140621
                Funded by: National Institute of General Medical Sciences, doi 10.13039/100000057;
                Award ID: R37 GM058822
                Categories
                Research Article
                Custom metadata
                oc3c00160
                oc3c00160

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