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      Enterotoxin tilimycin from gut-resident Klebsiella promotes mutational evolution and antibiotic resistance in mice

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          Abstract

          Klebsiella spp. that secrete the DNA-alkylating enterotoxin tilimycin colonize the human intestinal tract. Numbers of toxigenic bacteria increase during antibiotic use, and the resulting accumulation of tilimycin in the intestinal lumen damages the epithelium via genetic instability and apoptosis. Here we examine the impact of this genotoxin on the gut ecosystem. 16S rRNA sequencing of faecal samples from mice colonized with Klebsiella oxytoca strains and mechanistic analyses show that tilimycin is a pro-mutagenic antibiotic affecting multiple phyla. Transient synthesis of tilimycin in the murine gut antagonized niche competitors, reduced microbial richness and altered taxonomic composition of the microbiota both during and following exposure. Moreover, tilimycin secretion increased rates of mutagenesis in co-resident opportunistic pathogens such as Klebsiella pneumoniae and Escherichia coli, as shown by de novo acquisition of antibiotic resistance. We conclude that tilimycin is a bacterial mutagen, and flares of genotoxic Klebsiella have the potential to drive the emergence of resistance, destabilize the gut microbiota and shape its evolutionary trajectory.

          Abstract

          Production of the enterotoxin tilimycin by gut-resident Klebsiella species can alter gut microbiota composition, induce mutational evolution and drive the emergence of antibiotic resistance in mice.

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          Most cited references70

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                ellen.zechner@uni-graz.at
                Journal
                Nat Microbiol
                Nat Microbiol
                Nature Microbiology
                Nature Publishing Group UK (London )
                2058-5276
                26 October 2022
                26 October 2022
                2022
                : 7
                : 11
                : 1834-1848
                Affiliations
                [1 ]GRID grid.5110.5, ISNI 0000000121539003, Institute of Molecular Biosciences, , University of Graz, ; Graz, Austria
                [2 ]GRID grid.452216.6, BioTechMed-Graz, ; Graz, Austria
                [3 ]GRID grid.5110.5, ISNI 0000000121539003, Field of Excellence BioHealth, , University of Graz, ; Graz, Austria
                [4 ]GRID grid.11598.34, ISNI 0000 0000 8988 2476, Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, , Medical University of Graz, ; Graz, Austria
                [5 ]GRID grid.5110.5, ISNI 0000000121539003, Institute of Pharmaceutical Sciences, , University of Graz, ; Graz, Austria
                [6 ]GRID grid.11598.34, ISNI 0000 0000 8988 2476, Diagnostic and Research Institute of Pathology, , Medical University of Graz, ; Graz, Austria
                [7 ]GRID grid.5110.5, ISNI 0000000121539003, Institute of Chemistry, , University of Graz, NAWI Graz, ; Graz, Austria
                [8 ]GRID grid.410413.3, ISNI 0000 0001 2294 748X, Institute of Organic Chemistry, , Graz University of Technology, ; Graz, Austria
                Author information
                http://orcid.org/0000-0003-2035-1898
                Article
                1260
                10.1038/s41564-022-01260-3
                9613472
                36289400
                0cf3b176-0454-4f68-8862-eaa85a5d98e8
                © The Author(s) 2022

                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
                : 27 March 2022
                : 29 September 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004061, Oesterreichische Nationalbank (Austrian National Bank);
                Award ID: 17936
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100002428, Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung);
                Award ID: DOC 50
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature Limited 2022

                microbial ecology,mechanism of action,mutation,evolutionary biology,pathogens

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