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      Clostridioides difficile exploits toxin-mediated inflammation to alter the host nutritional landscape and exclude competitors from the gut microbiota

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          Abstract

          Clostridioides difficile is a bacterial pathogen that causes a range of clinical disease from mild to moderate diarrhea, pseudomembranous colitis, and toxic megacolon. Typically, C. difficile infections (CDIs) occur after antibiotic treatment, which alters the gut microbiota, decreasing colonization resistance against C. difficile. Disease is mediated by two large toxins and the expression of their genes is induced upon nutrient depletion via the alternative sigma factor TcdR. Here, we use tcdR mutants in two strains of C. difficile and omics to investigate how toxin-induced inflammation alters C. difficile metabolism, tissue gene expression and the gut microbiota, and to determine how inflammation by the host may be beneficial to C. difficile. We show that C. difficile metabolism is significantly different in the face of inflammation, with changes in many carbohydrate and amino acid uptake and utilization pathways. Host gene expression signatures suggest that degradation of collagen and other components of the extracellular matrix by matrix metalloproteinases is a major source of peptides and amino acids that supports C. difficile growth in vivo. Lastly, the inflammation induced by C. difficile toxin activity alters the gut microbiota, excluding members from the genus Bacteroides that are able to utilize the same essential nutrients released from collagen degradation.

          Abstract

          The effects of antibiotics on the gut microbiota can lead to enhanced colonization of Clostridioides difficile ( C. difficile) and toxin-mediated pathogenesis. Here, using defined toxin-mutant strains and a murine model, the authors provide insights into how toxin-induced inflammation alters C. difficile metabolism, host tissue gene expression and gut microbiota, together influencing a beneficial niche for infection.

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          Most cited references71

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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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
                cmtherio@ncsu.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                19 January 2021
                19 January 2021
                2021
                : 12
                : 462
                Affiliations
                [1 ]GRID grid.40803.3f, ISNI 0000 0001 2173 6074, Department of Population Health and Pathobiology, College of Veterinary Medicine, , North Carolina State University, ; 1060 William Moore Drive, Raleigh, NC 27607 USA
                [2 ]GRID grid.10698.36, ISNI 0000000122483208, Department of Pathology and Laboratory Medicine, Lineberger Comprehensive Cancer Center, , University of North Carolina School of Medicine, ; Chapel Hill, NC USA
                Author information
                http://orcid.org/0000-0002-5409-2700
                http://orcid.org/0000-0002-2630-2344
                http://orcid.org/0000-0003-1575-473X
                http://orcid.org/0000-0001-8012-5302
                http://orcid.org/0000-0002-1895-8941
                Article
                20746
                10.1038/s41467-020-20746-4
                7815924
                33469019
                03145570-be9c-43e7-9e7d-5c8daff19438
                © The Author(s) 2021

                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
                : 22 July 2020
                : 17 December 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000057, U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS);
                Award ID: R35GM119438
                Award Recipient :
                Funded by: North Carolina State University College of Veterinary Medicine intramural award
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                microbiome,pathogens,colonic diseases
                Uncategorized
                microbiome, pathogens, colonic diseases

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