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      No evidence for colonization of oral bacteria in the distal gut in healthy adults

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          Abstract

          The microbial communities in the mouth and colon are anatomically connected via the saliva. However, the extent to which oral microbes reach and successfully colonize the distal gut has been debated. To resolve this long-standing controversy, we used exact amplicon sequence variants generated from concurrently collected saliva/stool microbiota in 66 healthy adults from two countries to show that, with one exception ( Dialister invisus), the two niches are completely distinct. Thus, there is no evidence for colonization of oral bacteria in the distal gut. This defines the healthy state to which pathological states could be compared. Finding the same bacteria in the mouth and stool may warrant clinical investigation for an underlying pathology.

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          Most cited references16

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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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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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              Exact sequence variants should replace operational taxonomic units in marker-gene data analysis

              Recent advances have made it possible to analyze high-throughput marker-gene sequencing data without resorting to the customary construction of molecular operational taxonomic units (OTUs): clusters of sequencing reads that differ by less than a fixed dissimilarity threshold. New methods control errors sufficiently such that amplicon sequence variants (ASVs) can be resolved exactly, down to the level of single-nucleotide differences over the sequenced gene region. The benefits of finer resolution are immediately apparent, and arguments for ASV methods have focused on their improved resolution. Less obvious, but we believe more important, are the broad benefits that derive from the status of ASVs as consistent labels with intrinsic biological meaning identified independently from a reference database. Here we discuss how these features grant ASVs the combined advantages of closed-reference OTUs—including computational costs that scale linearly with study size, simple merging between independently processed data sets, and forward prediction—and of de novo OTUs—including accurate measurement of diversity and applicability to communities lacking deep coverage in reference databases. We argue that the improvements in reusability, reproducibility and comprehensiveness are sufficiently great that ASVs should replace OTUs as the standard unit of marker-gene analysis and reporting.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                5 October 2021
                19 October 2021
                5 October 2021
                : 118
                : 42
                : e2114152118
                Affiliations
                [1] aDepartment of Medicine, University of Minnesota , Minneapolis, MN 55455;
                [2] bSchool of Dentistry, University of Minnesota , Minneapolis, MN 55455;
                [3] cDepartment of Surgery, University of Minnesota , Minneapolis, MN 55455
                Author notes
                [ 1 ]To whom correspondence may be addressed. Email: arashidi@ 123456umn.edu .

                Edited by Lalita Ramakrishnan, University of Cambridge, Cambridge, United Kingdom, and approved September 13, 2021 (received for review August 4, 2021)

                Author information
                https://orcid.org/0000-0002-9384-272X
                https://orcid.org/0000-0001-8078-8579
                https://orcid.org/0000-0001-5922-3709
                Article
                202114152
                10.1073/pnas.2114152118
                8594488
                34610963
                b76792b4-33a2-4151-ad72-ebd496c7f72e
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 13 September 2021
                Page count
                Pages: 3
                Funding
                Funded by: HHS | NIH | National Center for Advancing Translational Sciences (NCATS) 100006108
                Award ID: KL2TR002492
                Award Recipient : Armin Rashidi
                Categories
                423
                524
                Biological Sciences
                Microbiology
                Brief Report

                gut microbiota,oral microbiota,dialister invisus
                gut microbiota, oral microbiota, dialister invisus

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