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      Rokubacteria: Genomic Giants among the Uncultured Bacterial Phyla

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          Abstract

          Recent advances in single-cell genomic and metagenomic techniques have facilitated the discovery of numerous previously unknown, deep branches of the tree of life that lack cultured representatives. Many of these candidate phyla are composed of microorganisms with minimalistic, streamlined genomes lacking some core metabolic pathways, which may contribute to their resistance to growth in pure culture. Here we analyzed single-cell genomes and metagenome bins to show that the “Candidate phylum Rokubacteria,” formerly known as SPAM, represents an interesting exception, by having large genomes (6–8 Mbps), high GC content (66–71%), and the potential for a versatile, mixotrophic metabolism. We also observed an unusually high genomic heterogeneity among individual Rokubacteria cells in the studied samples. These features may have contributed to the limited recovery of sequences of this candidate phylum in prior cultivation and metagenomic studies. Our analyses suggest that Rokubacteria are distributed globally in diverse terrestrial ecosystems, including soils, the rhizosphere, volcanic mud, oil wells, aquifers, and the deep subsurface, with no reports from marine environments to date.

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          Most cited references35

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          Genome streamlining in a cosmopolitan oceanic bacterium.

          The SAR11 clade consists of very small, heterotrophic marine alpha-proteobacteria that are found throughout the oceans, where they account for about 25% of all microbial cells. Pelagibacter ubique, the first cultured member of this clade, has the smallest genome and encodes the smallest number of predicted open reading frames known for a free-living microorganism. In contrast to parasitic bacteria and archaea with small genomes, P. ubique has complete biosynthetic pathways for all 20 amino acids and all but a few cofactors. P. ubique has no pseudogenes, introns, transposons, extrachromosomal elements, or inteins; few paralogs; and the shortest intergenic spacers yet observed for any cell.
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            Global distribution of microbial abundance and biomass in subseafloor sediment.

            The global geographic distribution of subseafloor sedimentary microbes and the cause(s) of that distribution are largely unexplored. Here, we show that total microbial cell abundance in subseafloor sediment varies between sites by ca. five orders of magnitude. This variation is strongly correlated with mean sedimentation rate and distance from land. Based on these correlations, we estimate global subseafloor sedimentary microbial abundance to be 2.9⋅10(29) cells [corresponding to 4.1 petagram (Pg) C and ∼0.6% of Earth's total living biomass]. This estimate of subseafloor sedimentary microbial abundance is roughly equal to previous estimates of total microbial abundance in seawater and total microbial abundance in soil. It is much lower than previous estimates of subseafloor sedimentary microbial abundance. In consequence, we estimate Earth's total number of microbes and total living biomass to be, respectively, 50-78% and 10-45% lower than previous estimates.
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              IMG 4 version of the integrated microbial genomes comparative analysis system

              The Integrated Microbial Genomes (IMG) data warehouse integrates genomes from all three domains of life, as well as plasmids, viruses and genome fragments. IMG provides tools for analyzing and reviewing the structural and functional annotations of genomes in a comparative context. IMG’s data content and analytical capabilities have increased continuously since its first version released in 2005. Since the last report published in the 2012 NAR Database Issue, IMG’s annotation and data integration pipelines have evolved while new tools have been added for recording and analyzing single cell genomes, RNA Seq and biosynthetic cluster data. Different IMG datamarts provide support for the analysis of publicly available genomes (IMG/W: http://img.jgi.doe.gov/w), expert review of genome annotations (IMG/ER: http://img.jgi.doe.gov/er) and teaching and training in the area of microbial genome analysis (IMG/EDU: http://img.jgi.doe.gov/edu).
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                28 November 2017
                2017
                : 8
                : 2264
                Affiliations
                [1] 1Bigelow Laboratory for Ocean Sciences , East Boothbay, ME, United States
                [2] 2Joint Genome Institute , Walnut Creek, CA, United States
                [3] 3Department of Natural Sciences, Inter American University of Puerto Rico , San Juan, Puerto Rico
                [4] 4Department of Geosciences, Princeton University , Princeton, NJ, United States
                [5] 5College of Biological Sciences, Genome Center, University of California, Davis , Davis, CA, United States
                [6] 6Desert Research Institute , Las Vegas, NV, United States
                Author notes

                Edited by: Frank T. Robb, University of Maryland, Baltimore, United States

                Reviewed by: David L. Bernick, University of California, Santa Cruz, United States; Brian P. Hedlund, University of Nevada, Las Vegas, United States; Marla Trindade, University of the Western Cape, South Africa

                *Correspondence: Ramunas Stepanauskas rstepanauskas@ 123456bigelow.org

                This article was submitted to Evolutionary and Genomic Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2017.02264
                5712423
                29234309
                9bfe6913-d084-4120-9079-e3c5cca73b36
                Copyright © 2017 Becraft, Woyke, Jarett, Ivanova, Godoy-Vitorino, Poulton, Brown, Brown, Lau, Onstott, Eisen, Moser and Stepanauskas.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 August 2017
                : 02 November 2017
                Page count
                Figures: 6, Tables: 1, Equations: 0, References: 63, Pages: 12, Words: 8701
                Funding
                Funded by: National Science Foundation 10.13039/100000001
                Award ID: DEB-1441717
                Award ID: OCE-1335810
                Award ID: DE-AC02-05CH11231
                Funded by: U.S. Department of Energy 10.13039/100000015
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                microbial ecology,microbial evolution,uncultivated bacteria,microbial dark matter,microbial genomics

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