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      Klebsazolicin inhibits 70S ribosome by obstruction of the peptide exit tunnel

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          Abstract

          While screening of small-molecular metabolites produced by most cultivatable microorganisms often results in rediscovery of known compounds, genome-mining programs allow to harness much greater chemical diversity and result in discovery of new molecular scaffolds. Here we report genome-guided identification of a new antibiotic klebsazolicin (KLB) from Klebsiella pneumoniae that inhibits growth of sensitive cells by targeting ribosome. A member of ribosomally-synthesized post-translationally modified peptides (RiPPs), KLB is characterized by the presence of unique N-terminal amidine ring essential for its activity. Biochemical in vitro studies indicate that KLB inhibits ribosome by interfering with translation elongation. Structural analysis of the ribosome-KLB complex reveals the compound bound in the peptide exit tunnel overlapping with the binding sites of macrolides or streptogramins-B. KLB adopts compact conformation and largely obstructs the tunnel. Engineered KLB fragments retain in vitro activity and can serve as a starting point for the development of new bioactive compounds.

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          Most cited references42

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          Antibiotic resistance-the need for global solutions.

          The causes of antibiotic resistance are complex and include human behaviour at many levels of society; the consequences affect everybody in the world. Similarities with climate change are evident. Many efforts have been made to describe the many different facets of antibiotic resistance and the interventions needed to meet the challenge. However, coordinated action is largely absent, especially at the political level, both nationally and internationally. Antibiotics paved the way for unprecedented medical and societal developments, and are today indispensible in all health systems. Achievements in modern medicine, such as major surgery, organ transplantation, treatment of preterm babies, and cancer chemotherapy, which we today take for granted, would not be possible without access to effective treatment for bacterial infections. Within just a few years, we might be faced with dire setbacks, medically, socially, and economically, unless real and unprecedented global coordinated actions are immediately taken. Here, we describe the global situation of antibiotic resistance, its major causes and consequences, and identify key areas in which action is urgently needed. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            Human commensals producing a novel antibiotic impair pathogen colonization.

            The vast majority of systemic bacterial infections are caused by facultative, often antibiotic-resistant, pathogens colonizing human body surfaces. Nasal carriage of Staphylococcus aureus predisposes to invasive infection, but the mechanisms that permit or interfere with pathogen colonization are largely unknown. Whereas soil microbes are known to compete by production of antibiotics, such processes have rarely been reported for human microbiota. We show that nasal Staphylococcus lugdunensis strains produce lugdunin, a novel thiazolidine-containing cyclic peptide antibiotic that prohibits colonization by S. aureus, and a rare example of a non-ribosomally synthesized bioactive compound from human-associated bacteria. Lugdunin is bactericidal against major pathogens, effective in animal models, and not prone to causing development of resistance in S. aureus. Notably, human nasal colonization by S. lugdunensis was associated with a significantly reduced S. aureus carriage rate, suggesting that lugdunin or lugdunin-producing commensal bacteria could be valuable for preventing staphylococcal infections. Moreover, human microbiota should be considered as a source for new antibiotics.
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              A Roadmap for Natural Product Discovery Based on Large-Scale Genomics and Metabolomics

              Actinobacteria encode a wealth of natural product biosynthetic gene clusters (NPGCs), whose systematic study is complicated by numerous repetitive motifs. By combining several metrics we developed a method for global classification of these gene clusters into families (GCFs) and analyzed the biosynthetic capacity of Actinobacteria in 830 genome sequences, including 344 obtained for this project. The GCF network, comprised of 11,422 gene clusters grouped into 4,122 GCFs, was validated in hundreds of strains by correlating confident mass spectrometric detection of known small molecules with the presence/absence of their established biosynthetic gene clusters. The method also linked previously unassigned GCFs to known natural products, an approach that will enable de novo, bioassay-free discovery of novel natural products using large data sets. Extrapolation from the 830-genome dataset reveals that Actinobacteria encode hundreds of thousands of future drug leads, while the strong correlation between phylogeny and GCFs frames a roadmap to efficiently access them.
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                Author and article information

                Journal
                101231976
                32624
                Nat Chem Biol
                Nat. Chem. Biol.
                Nature chemical biology
                1552-4450
                1552-4469
                28 July 2017
                28 August 2017
                October 2017
                28 February 2018
                : 13
                : 10
                : 1129-1136
                Affiliations
                [1 ]Research Center of Nanobiotechnologies, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, 195251, Russia
                [2 ]Institute of Antimicrobial Chemotherapy, Smolensk State Medical Academy, Smolensk, 214018, Russia
                [3 ]Skolkovo Institute of Science and Technology, Moscow, 143025, Russia
                [4 ]Institute of Gene Biology of the Russian Academy of Sciences, Moscow, 119334, Russia
                [5 ]Lomonosov Moscow State University, Department of Chemistry and A.N. Belozersky Institute of Physico-Chemical Biology, Moscow, 119992, Russia
                [6 ]Department of Biological Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA
                [7 ]Petersburg Nuclear Physics Institute, NRC “Kurchatov Institute”, Gatchina, 188300, Russia
                [8 ]Lomonosov Moscow State University, Department of Bioengineering and Bioinformatics, Moscow, 119992, Russia
                [9 ]Waksman Institute for Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
                [10 ]Department of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago, Chicago, IL 60607, USA
                Author notes
                []Correspondence: yuryp@ 123456uic.edu (Y.S.P.), severik@ 123456waksman.rutgers.edu (K.S.)
                [*]

                Authors contributed equally to this work

                Article
                NIHMS894386
                10.1038/nchembio.2462
                5701663
                28846667
                b89b95f1-2216-4bd3-9349-21e68ad882de

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                Biochemistry
                Biochemistry

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