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      A Silent Operon of Photorhabdus luminescens Encodes a Prodrug Mimic of GTP

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          ABSTRACT

          With the overmining of actinomycetes for compounds acting against Gram-negative pathogens, recent efforts to discover novel antibiotics have been focused on other groups of bacteria. Teixobactin, the first antibiotic without detectable resistance that binds lipid II, comes from an uncultured Eleftheria terra, a betaproteobacterium; odilorhabdins, from Xenorhabdus, are broad-spectrum inhibitors of protein synthesis, and darobactins from Photorhabdus target BamA, the essential chaperone of the outer membrane of Gram-negative bacteria. Xenorhabdus and Photorhabdus are symbionts of the nematode gut microbiome and attractive producers of secondary metabolites. Only small portions of their biosynthetic gene clusters (BGC) are expressed in vitro. To access their silent operons, we first separated extracts from a small library of isolates into fractions, resulting in 200-fold concentrated material, and then screened them for antimicrobial activity. This resulted in a hit with selective activity against Escherichia coli, which we identified as a novel natural product antibiotic, 3′-amino 3′-deoxyguanosine (ADG). Mutants resistant to ADG mapped to gsk and gmk, kinases of guanosine. Biochemical analysis shows that ADG is a prodrug that is converted into an active ADG triphosphate (ADG-TP), a mimic of GTP. ADG incorporates into a growing RNA chain, interrupting transcription, and inhibits cell division, apparently by interfering with the GTPase activity of FtsZ. Gsk of the purine salvage pathway, which is the first kinase in the sequential phosphorylation of ADG, is restricted to E. coli and closely related species, explaining the selectivity of the compound. There are probably numerous targets of ADG-TP among GTP-dependent proteins. The discovery of ADG expands our knowledge of prodrugs, which are rare among natural compounds.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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              One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products.

              We have developed a simple and highly efficient method to disrupt chromosomal genes in Escherichia coli in which PCR primers provide the homology to the targeted gene(s). In this procedure, recombination requires the phage lambda Red recombinase, which is synthesized under the control of an inducible promoter on an easily curable, low copy number plasmid. To demonstrate the utility of this approach, we generated PCR products by using primers with 36- to 50-nt extensions that are homologous to regions adjacent to the gene to be inactivated and template plasmids carrying antibiotic resistance genes that are flanked by FRT (FLP recognition target) sites. By using the respective PCR products, we made 13 different disruptions of chromosomal genes. Mutants of the arcB, cyaA, lacZYA, ompR-envZ, phnR, pstB, pstCA, pstS, pstSCAB-phoU, recA, and torSTRCAD genes or operons were isolated as antibiotic-resistant colonies after the introduction into bacteria carrying a Red expression plasmid of synthetic (PCR-generated) DNA. The resistance genes were then eliminated by using a helper plasmid encoding the FLP recombinase which is also easily curable. This procedure should be widely useful, especially in genome analysis of E. coli and other bacteria because the procedure can be done in wild-type cells.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                16 May 2022
                May-Jun 2022
                16 May 2022
                : 13
                : 3
                : e00700-22
                Affiliations
                [a ] Antimicrobial Discovery Center, Department of Biology, Northeastern University, , Boston, Massachusetts, USA
                [b ] Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
                [c ] Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
                [d ] Institute for Insect Biotechnology, Justus-Liebig-University of Giessen, Giessen, Germany
                [e ] German Center of Infection Research (DZIF), Partner Site Gießen-Marburg-Langen, Gießen, Germany
                [f ] J. Craig Venture Institute, La Jolla, California, USA
                [g ] Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
                McMaster University
                Author notes

                Negar Shahsavari and Boyuan Wang contributed equally to this article. Author order was determined by their equal but gradated contributions for this article.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0002-8288-7607
                https://orcid.org/0000-0002-1621-7664
                Article
                00700-22 mbio.00700-22
                10.1128/mbio.00700-22
                9239236
                35575547
                c3b8c055-f90c-4be3-a171-8693dd5cf728
                Copyright © 2022 Shahsavari et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 15 March 2022
                : 16 March 2022
                Page count
                supplementary-material: 10, Figures: 6, Tables: 1, Equations: 1, References: 61, Pages: 20, Words: 14779
                Funding
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: P01AI118687
                Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH);
                Award ID: K99MG135536
                Award Recipient :
                Categories
                Research Article
                bacteriology, Bacteriology
                Custom metadata
                May/June 2022

                Life sciences
                antibiotic resistance,natural product,nucleoside analog
                Life sciences
                antibiotic resistance, natural product, nucleoside analog

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