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      Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome

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          Abstract

          Introduction

          Microbial residents of the human oral cavity have long been a major focus of microbiology due to their influence on host health and intriguing patterns of site specificity amidst the lack of dispersal limitation. However, the determinants of niche partitioning in this habitat are yet to be fully understood, especially among taxa that belong to recently discovered branches of microbial life.

          Results

          Here, we assemble metagenomes from tongue and dental plaque samples from multiple individuals and reconstruct 790 non-redundant genomes, 43 of which resolve to TM7, a member of the Candidate Phyla Radiation, forming six monophyletic clades that distinctly associate with either plaque or tongue. Both pangenomic and phylogenomic analyses group tongue-specific clades with other host-associated TM7 genomes. In contrast, plaque-specific TM7 group with environmental TM7 genomes. Besides offering deeper insights into the ecology, evolution, and mobilome of cryptic members of the oral microbiome, our study reveals an intriguing resemblance between dental plaque and non-host environments indicated by the TM7 evolution, suggesting that plaque may have served as a stepping stone for environmental microbes to adapt to host environments for some clades of microbes. Additionally, we report that prophages are widespread among oral-associated TM7, while absent from environmental TM7, suggesting that prophages may have played a role in adaptation of TM7 to the host environment.

          Conclusions

          Our data illuminate niche partitioning of enigmatic members of the oral cavity, including TM7, SR1, and GN02, and provide genomes for poorly characterized yet prevalent members of this biome, such as uncultivated Flavobacteriaceae.

          Supplementary information

          The online version contains supplementary material available at 10.1186/s13059-020-02195-w.

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          Most cited references100

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Basic local alignment search tool.

              A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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                Author and article information

                Contributors
                jmarkwelch@mbl.edu
                meren@uchicago.edu
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1474-7596
                1474-760X
                16 December 2020
                16 December 2020
                2020
                : 21
                : 292
                Affiliations
                [1 ]GRID grid.170205.1, ISNI 0000 0004 1936 7822, Department of Medicine, , University of Chicago, ; Chicago, IL 60637 USA
                [2 ]GRID grid.170205.1, ISNI 0000 0004 1936 7822, Biophysical Sciences, , University of Chicago, ; Chicago, IL 60637 USA
                [3 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Biostatistics, , University of Washington, ; Seattle, WA 98195 USA
                [4 ]GRID grid.434728.e, ISNI 0000 0004 0641 2997, Génomique Métabolique, Genoscope, , Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, ; 91057 Evry, France
                [5 ]GRID grid.451309.a, ISNI 0000 0004 0449 479X, Department of Energy Joint Genome Institute, ; Berkeley, CA 94720 USA
                [6 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Department of Earth and Planetary Sciences, , University of California, ; Berkeley, CA 94720 USA
                [7 ]GRID grid.170205.1, ISNI 0000 0004 1936 7822, Computational and Applied Mathematics, , University of Chicago, ; Chicago, IL 60637 USA
                [8 ]GRID grid.170205.1, ISNI 0000 0004 1936 7822, Computer Science, , University of Chicago, ; Chicago, IL 60637 USA
                [9 ]GRID grid.170205.1, ISNI 0000 0004 1936 7822, Committee on Microbiology, , University of Chicago, ; Chicago, IL 60637 USA
                [10 ]GRID grid.36567.31, ISNI 0000 0001 0737 1259, Division of Biology, , Kansas State University, ; Manhattan, KS 66506 USA
                [11 ]GRID grid.144532.5, ISNI 000000012169920X, Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, ; Woods Hole, MA 02543 USA
                [12 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Microbiology, , The Forsyth Institute, ; Cambridge, MA 02142 USA
                [13 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Oral Medicine, Infection and Immunity, , Harvard School of Dental Medicine, ; Boston, MA 02115 USA
                Author information
                http://orcid.org/0000-0001-9013-4827
                Article
                2195
                10.1186/s13059-020-02195-w
                7739484
                33323122
                09ad9ec1-7eab-452d-a20d-b89938b8d0f9
                © The Author(s) 2020

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 20 May 2020
                : 4 November 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R35GM133420
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: DE-AC02-05CH11231
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000072, National Institute of Dental and Craniofacial Research;
                Award ID: DE016937
                Award ID: DE024468
                Award ID: DE022586
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100001372, G. Unger Vetlesen Foundation;
                Funded by: University of Chicago
                Award ID: Frank R. Lillie Research Innovation Award
                Award Recipient :
                Funded by: Gastro-Intestinal Research Foundation
                Funded by: The Mutchnik Family Fund
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Genetics
                metagenomics,metapangenomics,niche partitioning,human oral cavity,candidate phyla radiation,saccharibacteria

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