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      The antimicrobial potential of Streptomyces from insect microbiomes

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          Abstract

          Antimicrobial resistance is a global health crisis and few novel antimicrobials have been discovered in recent decades. Natural products, particularly from Streptomyces, are the source of most antimicrobials, yet discovery campaigns focusing on Streptomyces from the soil largely rediscover known compounds. Investigation of understudied and symbiotic sources has seen some success, yet no studies have systematically explored microbiomes for antimicrobials. Here we assess the distinct evolutionary lineages of Streptomyces from insect microbiomes as a source of new antimicrobials through large-scale isolations, bioactivity assays, genomics, metabolomics, and in vivo infection models. Insect-associated Streptomyces inhibit antimicrobial-resistant pathogens more than soil Streptomyces. Genomics and metabolomics reveal their diverse biosynthetic capabilities. Further, we describe cyphomycin, a new molecule active against multidrug resistant fungal pathogens. The evolutionary trajectories of Streptomyces from the insect microbiome influence their biosynthetic potential and ability to inhibit resistant pathogens, supporting the promise of this source in augmenting future antimicrobial discovery.

          Abstract

          Host microbiomes are feasible sources for drug discovery. Here, using large-scale isolations, bioactivity assays and omics, the authors uncover the antimicrobial potential of insect-associated Streptomyces and identify a compound, cyphomycin, active against multidrug-resistant fungal pathogens.

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          Most cited references39

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          FLASH: fast length adjustment of short reads to improve genome assemblies.

          Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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            antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification

            Abstract Many antibiotics, chemotherapeutics, crop protection agents and food preservatives originate from molecules produced by bacteria, fungi or plants. In recent years, genome mining methodologies have been widely adopted to identify and characterize the biosynthetic gene clusters encoding the production of such compounds. Since 2011, the ‘antibiotics and secondary metabolite analysis shell—antiSMASH’ has assisted researchers in efficiently performing this, both as a web server and a standalone tool. Here, we present the thoroughly updated antiSMASH version 4, which adds several novel features, including prediction of gene cluster boundaries using the ClusterFinder method or the newly integrated CASSIS algorithm, improved substrate specificity prediction for non-ribosomal peptide synthetase adenylation domains based on the new SANDPUMA algorithm, improved predictions for terpene and ribosomally synthesized and post-translationally modified peptides cluster products, reporting of sequence similarity to proteins encoded in experimentally characterized gene clusters on a per-protein basis and a domain-level alignment tool for comparative analysis of trans-AT polyketide synthase assembly line architectures. Additionally, several usability features have been updated and improved. Together, these improvements make antiSMASH up-to-date with the latest developments in natural product research and will further facilitate computational genome mining for the discovery of novel bioactive molecules.
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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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                Author and article information

                Contributors
                currie@bact.wisc.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                31 January 2019
                31 January 2019
                2019
                : 10
                : 516
                Affiliations
                [1 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Laboratory of Genetics, , University of Wisconsin-Madison, ; Madison, 53706 WI USA
                [2 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Bacteriology, , University of Wisconsin-Madison, ; Madison, 53706 WI USA
                [3 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, School of Pharmaceutical Sciences of Ribeirão Preto, , University of São Paulo, ; Ribeirão Preto, 14040-903 SP Brazil
                [4 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Pharmaceutical Sciences Division, School of Pharmacy, , University of Wisconsin-Madison, ; Madison, 53705 WI USA
                [5 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, McArdle Laboratory for Cancer Research, Wisconsin Institute for Medical Research, , University of Wisconsin-Madison, ; Madison, 53705 WI USA
                [6 ]ISNI 0000 0001 0860 4915, GRID grid.63054.34, Department of Molecular and Cell Biology, , University of Connecticut, ; Storrs, 06269 CT USA
                [7 ]ISNI 0000 0000 9540 9781, GRID grid.266744.5, Department of Biology, Large Lakes Observatory, , University of Minnesota-Duluth, ; Duluth, 55812 MN USA
                [8 ]ISNI 0000 0001 2097 4943, GRID grid.213917.f, School of Biological Sciences, , Georgia Institute of Technology, ; Atlanta, 30332 GA USA
                [9 ]ISNI 0000 0004 1937 0706, GRID grid.412889.e, Center for Research in Microscopic Structures and Department of Biochemistry, School of Medicine, , University of Costa Rica, ; San José, 10102 Costa Rica
                [10 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Medicine, , University of Wisconsin School of Medicine and Public Health, ; Madison, 53705 WI USA
                Author information
                http://orcid.org/0000-0002-7209-0717
                http://orcid.org/0000-0003-1252-1092
                http://orcid.org/0000-0002-6150-8735
                http://orcid.org/0000-0002-3097-1487
                http://orcid.org/0000-0003-2705-0123
                Article
                8438
                10.1038/s41467-019-08438-0
                6355912
                30705269
                59475b8f-f609-4ca0-abfd-70b1eddbaf1e
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 October 2018
                : 11 January 2019
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