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      The CIAMIB: a Large and Metabolically Diverse Collection of Inflammation-Associated Bacteria from the Murine Gut

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          ABSTRACT

          Gut inflammation directly impacts the growth and stability of commensal gut microbes and can lead to long-lasting changes in microbiota composition that can prolong or exacerbate disease states. While mouse models are used extensively to investigate the interplay between microbes and the inflamed state, the paucity of cultured mouse gut microbes has hindered efforts to determine causal relationships. To address this issue, we are assembling the Collection of Inflammation-Associated Mouse Intestinal Bacteria (CIAMIB). The initial release of this collection comprises 41 isolates of 39 unique bacterial species, covering 4 phyla and containing 10 previously uncultivated isolates, including 1 novel family and 7 novel genera. The collection significantly expands the number of available Muribaculaceae, Lachnospiraceae, and Coriobacteriaceae isolates and includes microbes from genera associated with inflammation, such as Prevotella and Klebsiella. We characterized the growth of CIAMIB isolates across a diverse range of nutritional conditions and predicted their metabolic potential and anaerobic fermentation capacity based on the genomes of these isolates. We also provide the first metabolic analysis of species within the genus Adlercreutzia, revealing these representatives to be nitrate-reducing and severely restricted in their ability to grow on carbohydrates. CIAMIB isolates are fully sequenced and available to the scientific community as a powerful tool to study host-microbiota interactions.

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          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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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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              Matplotlib: A 2D Graphics Environment

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                Author and article information

                Contributors
                Role: Invited Editor
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                10 March 2022
                Mar-Apr 2022
                10 March 2022
                : 13
                : 2
                : e02949-21
                Affiliations
                [a ] Department of Molecular Genetics, University of Torontogrid.17063.33, , Toronto, Ontario, Canada
                [b ] School of Biomedical Engineering, University of British Columbiagrid.17091.3e, , Vancouver, Canada
                [c ] Department of Microbiology and Immunology, University of British Columbiagrid.17091.3e, , Vancouver, Canada
                [d ] Chan Zuckerberg Biohub, San Francisco, California, USA
                [e ] Department of Microbiology and Immunology, Stanford Universitygrid.168010.e, of School of Medicine, Stanford, California, USA
                [f ] Department of Bioengineering, Stanford Universitygrid.168010.e, , Stanford, California, USA
                [g ] Department of Immunology, University of Torontogrid.17063.33, , Toronto, Ontario, Canada
                [h ] Humans and the Microbiome Program, Canadian Institute for Advanced Research, Toronto, Canada
                The University of Texas Southwestern Medical Center at Dallas
                University of Hawaii at Manoa
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-3416-3046
                https://orcid.org/0000-0002-9967-5539
                https://orcid.org/0000-0002-8043-8138
                https://orcid.org/0000-0002-7542-1577
                https://orcid.org/0000-0002-9293-9220
                Article
                02949-21 mbio.02949-21
                10.1128/mbio.02949-21
                9040815
                35266814
                47eccc21-c84e-44cf-be6e-c16e65491acc
                Copyright © 2022 Wong et al.

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

                History
                : 1 October 2021
                : 9 February 2022
                Page count
                supplementary-material: 10, Figures: 4, Tables: 0, Equations: 0, References: 97, Pages: 19, Words: 13796
                Funding
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: GM135102
                Award ID: AI147023
                Award Recipient :
                Funded by: W. Garfield Weston Foundation (The W. Garfield Weston Foundation), FundRef https://doi.org/10.13039/501100000243;
                Award ID: Microbiome Initiative
                Award Recipient : Award Recipient :
                Funded by: Gouvernement du Canada | Canadian Institutes of Health Research (IRSC), FundRef https://doi.org/10.13039/501100000024;
                Award ID: 144628
                Award Recipient : Award Recipient :
                Categories
                Research Article
                bacteriology, Bacteriology
                Custom metadata
                March/April 2022

                Life sciences
                adlercreutzia,atopobiaceae,lachnospiraceae,muribaculaceae,prevotella,gut inflammation,microbial growth,microbiota

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