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      Acquisition of the arginine deiminase system benefits epiparasitic Saccharibacteria and their host bacteria in a mammalian niche environment

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          Significance

          The Candidate Phyla Radiation (CPR) is a large monophyletic lineage with poorly understood biology. Saccharibacteria are ultrasmall parasitic CPR bacteria with highly reduced genomes that have made the transition from an environmental origin to mammals. We tested the function and impact of the arginine deiminase system (ADS), an arginine catabolism pathway likely acquired by mammal-associated Saccharibacteria during their environment-to-mammal niche transition. We showed that the acquired ADS not only helped facilitate Saccharibacterial adaptation to mammals but also contributed to the establishment of cooperative episymbiotic interaction with their bacterial hosts within mammalian microbiomes. Our study provides experimental evidence demonstrating the importance of function acquired by Saccharibacteria during niche transition in facilitating their adaptation from the environment to a mammalian niche.

          Abstract

          Saccharibacteria are a group of widespread and genetically diverse ultrasmall bacteria with highly reduced genomes that belong to the Candidate Phyla Radiation. Comparative genomic analyses suggest convergent evolution of key functions enabling the adaptation of environmental Saccharibacteria to mammalian microbiomes. Currently, our understanding of this environment-to-mammal niche transition within Saccharibacteria and their obligate episymbiotic association with host bacteria is limited. Here, we identified a complete arginine deiminase system (ADS), found in further genome streamlined mammal-associated Saccharibacteria but missing in their environmental counterparts, suggesting acquisition during environment-to-mammal niche transition. Using TM7x, the first cultured Saccharibacteria strain from the human oral microbiome and its host bacterium Actinomyces odontolyticus, we experimentally tested the function and impact of the ADS. We demonstrated that by catabolizing arginine and generating adenosine triphosphate, the ADS allows metabolically restrained TM7x to maintain higher viability and infectivity when disassociated from the host bacterium. Furthermore, the ADS protects TM7x and its host bacterium from acid stress, a condition frequently encountered within the human oral cavity due to bacterial metabolism of dietary carbohydrates. Intriguingly, with a restricted host range, TM7x forms obligate associations with Actinomyces spp. lacking the ADS but not those carrying the ADS, suggesting the acquired ADS may also contribute to partner selection for cooperative episymbiosis within a mammalian microbiome. These data present experimental characterization of a mutualistic interaction between TM7x and their host bacteria, and illustrate the benefits of acquiring a novel pathway in the transition of Saccharibacteria to mammalian microbiomes.

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          MUSCLE: multiple sequence alignment with high accuracy and high throughput.

          We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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            CD-HIT: accelerated for clustering the next-generation sequencing data

            Summary: CD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequencing data produced by the next-generation sequencing technologies, we have developed a new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets. Our tests demonstrated very good speedup derived from the parallelization for up to ∼24 cores and a quasi-linear speedup for up to ∼8 cores. The enhanced CD-HIT is capable of handling very large datasets in much shorter time than previous versions. Availability: http://cd-hit.org. Contact: liwz@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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              A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life

              Taxonomy is an organizing principle of biology and is ideally based on evolutionary relationships among organisms. Development of a robust bacterial taxonomy has been hindered by an inability to obtain most bacteria in pure culture and, to a lesser extent, by the historical use of phenotypes to guide classification. Culture-independent sequencing technologies have matured sufficiently that a comprehensive genome-based taxonomy is now possible. We used a concatenated protein phylogeny as the basis for a bacterial taxonomy that conservatively removes polyphyletic groups and normalizes taxonomic ranks on the basis of relative evolutionary divergence. Under this approach, 58% of the 94,759 genomes comprising the Genome Taxonomy Database had changes to their existing taxonomy. This result includes the description of 99 phyla, including six major monophyletic units from the subdivision of the Proteobacteria, and amalgamation of the Candidate Phyla Radiation into a single phylum. Our taxonomy should enable improved classification of uncultured bacteria and provide a sound basis for ecological and evolutionary studies.
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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
                6 January 2022
                11 January 2022
                6 January 2022
                : 119
                : 2
                : e2114909119
                Affiliations
                [1] aDepartment of Pediatric Dentistry, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology , Beijing 100081, China;
                [2] bDivision of Geological and Planetary Sciences, California Institute of Technology , Pasadena, CA 91125;
                [3] cDepartment of Microbiology, The Forsyth Institute , Cambridge, MA 02142;
                [4] dDepartment of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine , Boston, MA 02115;
                [5] eDepartment of Periodontics, University of Washington , Seattle, WA 98119
                Author notes
                1To whom correspondence may be addressed. Email: xhe@ 123456forsyth.org .

                Edited by Edward DeLong, Daniel K. Inouye Center for Microbial Oceanography: Research and Education, University of Hawaii at Manoa, Honolulu, HI; received August 12, 2021; accepted November 19, 2021

                Author contributions: J.T. and X.H. designed research; J.T., L.C., P.-T.D., and X.H. performed research; J.T., D.R.U., W.S., B.B., M.Q., J.S.M., and X.H. analyzed data; and J.T., D.R.U., W.S., B.B., M.Q., J.S.M., and X.H. wrote the paper.

                Author information
                https://orcid.org/0000-0003-2276-9286
                https://orcid.org/0000-0003-3322-7108
                https://orcid.org/0000-0001-9934-5137
                https://orcid.org/0000-0002-3333-9188
                Article
                202114909
                10.1073/pnas.2114909119
                8764695
                34992141
                10ad279b-5aec-451a-bf88-e6f6a3241599
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 19 November 2021
                Page count
                Pages: 12
                Funding
                Funded by: HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 100000072
                Award ID: 1R01DE023810
                Award Recipient : Wenyuan Shi Award Recipient : Batbileg Bor Award Recipient : Jeffrey S McLean Award Recipient : Xuesong He
                Funded by: HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 100000072
                Award ID: 1R01DE020102
                Award Recipient : Wenyuan Shi Award Recipient : Batbileg Bor Award Recipient : Jeffrey S McLean Award Recipient : Xuesong He
                Funded by: HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 100000072
                Award ID: 1R01DE026186
                Award Recipient : Wenyuan Shi Award Recipient : Batbileg Bor Award Recipient : Jeffrey S McLean Award Recipient : Xuesong He
                Funded by: HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 100000072
                Award ID: F32DE025548-01
                Award Recipient : Wenyuan Shi Award Recipient : Batbileg Bor Award Recipient : Jeffrey S McLean Award Recipient : Xuesong He
                Funded by: HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 100000072
                Award ID: 1K99DE027719-01
                Award Recipient : Wenyuan Shi Award Recipient : Batbileg Bor Award Recipient : Jeffrey S McLean Award Recipient : Xuesong He
                Categories
                423
                Biological Sciences
                Microbiology

                saccharibacteria,episymbiosis,arginine deiminase system,oral microbiome,tm7

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