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The 2014 Golden Gate National Parks Bioblitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event
National Park Service U.S. Department of the Interior Natural Resource Stewardship and Science The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 ON THIS PAGE Photograph of BioBlitz participants conducting data entry into iNaturalist. Photograph courtesy of the National Park Service. ON THE COVER Photograph of BioBlitz participants collecting aquatic species data in the Presidio of San Francisco. Photograph courtesy of National Park Service. The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 Elizabeth Edson1, Michelle O’Herron1, Alison Forrestel2, Daniel George3 1Golden Gate Parks Conservancy Building 201 Fort Mason San Francisco, CA 94129 2National Park Service. Golden Gate National Recreation Area Fort Cronkhite, Bldg. 1061 Sausalito, CA 94965 3National Park Service. San Francisco Bay Area Network Inventory & Monitoring Program Manager Fort Cronkhite, Bldg. 1063 Sausalito, CA 94965 March 2016 U.S. Department of the Interior National Park Service Natural Resource Stewardship and Science Fort Collins, Colorado The National Park Service, Natural Resource Stewardship and Science office in Fort Collins, Colorado, publishes a range of reports that address natural resource topics. These reports are of interest and applicability to a broad audience in the National Park Service and others in natural resource management, including scientists, conservation and environmental constituencies, and the public. The Natural Resource Report Series is used to disseminate comprehensive information and analysis about natural resources and related topics concerning lands managed by the National Park Service. -
Bacterial Epibiotic Communities of Ubiquitous and Abundant Marine Diatoms Are Distinct in Short- and Long-Term Associations
fmicb-09-02879 December 1, 2018 Time: 14:0 # 1 ORIGINAL RESEARCH published: 04 December 2018 doi: 10.3389/fmicb.2018.02879 Bacterial Epibiotic Communities of Ubiquitous and Abundant Marine Diatoms Are Distinct in Short- and Long-Term Associations Klervi Crenn, Delphine Duffieux and Christian Jeanthon* CNRS, Sorbonne Université, Station Biologique de Roscoff, Adaptation et Diversité en Milieu Marin, Roscoff, France Interactions between phytoplankton and bacteria play a central role in mediating biogeochemical cycling and food web structure in the ocean. The cosmopolitan diatoms Thalassiosira and Chaetoceros often dominate phytoplankton communities in marine systems. Past studies of diatom-bacterial associations have employed community- level methods and culture-based or natural diatom populations. Although bacterial assemblages attached to individual diatoms represents tight associations little is known on their makeup or interactions. Here, we examined the epibiotic bacteria of 436 Thalassiosira and 329 Chaetoceros single cells isolated from natural samples and Edited by: collection cultures, regarded here as short- and long-term associations, respectively. Matthias Wietz, Epibiotic microbiota of single diatom hosts was analyzed by cultivation and by cloning- Alfred Wegener Institut, Germany sequencing of 16S rRNA genes obtained from whole-genome amplification products. Reviewed by: The prevalence of epibiotic bacteria was higher in cultures and dependent of the host Lydia Jeanne Baker, Cornell University, United States species. Culture approaches demonstrated that both diatoms carry distinct bacterial Bryndan Paige Durham, communities in short- and long-term associations. Bacterial epibonts, commonly University of Washington, United States associated with phytoplankton, were repeatedly isolated from cells of diatom collection *Correspondence: cultures but were not recovered from environmental cells. -
Eelgrass Sediment Microbiome As a Nitrous Oxide Sink in Brackish Lake Akkeshi, Japan
Microbes Environ. Vol. 34, No. 1, 13-22, 2019 https://www.jstage.jst.go.jp/browse/jsme2 doi:10.1264/jsme2.ME18103 Eelgrass Sediment Microbiome as a Nitrous Oxide Sink in Brackish Lake Akkeshi, Japan TATSUNORI NAKAGAWA1*, YUKI TSUCHIYA1, SHINGO UEDA1, MANABU FUKUI2, and REIJI TAKAHASHI1 1College of Bioresource Sciences, Nihon University, 1866 Kameino, Fujisawa, 252–0880, Japan; and 2Institute of Low Temperature Science, Hokkaido University, Kita-19, Nishi-8, Kita-ku, Sapporo, 060–0819, Japan (Received July 16, 2018—Accepted October 22, 2018—Published online December 1, 2018) Nitrous oxide (N2O) is a powerful greenhouse gas; however, limited information is currently available on the microbiomes involved in its sink and source in seagrass meadow sediments. Using laboratory incubations, a quantitative PCR (qPCR) analysis of N2O reductase (nosZ) and ammonia monooxygenase subunit A (amoA) genes, and a metagenome analysis based on the nosZ gene, we investigated the abundance of N2O-reducing microorganisms and ammonia-oxidizing prokaryotes as well as the community compositions of N2O-reducing microorganisms in in situ and cultivated sediments in the non-eelgrass and eelgrass zones of Lake Akkeshi, Japan. Laboratory incubations showed that N2O was reduced by eelgrass sediments and emitted by non-eelgrass sediments. qPCR analyses revealed that the abundance of nosZ gene clade II in both sediments before and after the incubation as higher in the eelgrass zone than in the non-eelgrass zone. In contrast, the abundance of ammonia-oxidizing archaeal amoA genes increased after incubations in the non-eelgrass zone only. Metagenome analyses of nosZ genes revealed that the lineages Dechloromonas-Magnetospirillum-Thiocapsa and Bacteroidetes (Flavobacteriia) within nosZ gene clade II were the main populations in the N2O-reducing microbiome in the in situ sediments of eelgrass zones. -
Fluviicola Taffensis Type Strain (RW262)
Lawrence Berkeley National Laboratory Recent Work Title Complete genome sequence of the gliding freshwater bacterium Fluviicola taffensis type strain (RW262). Permalink https://escholarship.org/uc/item/9tc6n0sm Journal Standards in genomic sciences, 5(1) ISSN 1944-3277 Authors Woyke, Tanja Chertkov, Olga Lapidus, Alla et al. Publication Date 2011-10-01 DOI 10.4056/sigs.2124912 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Standards in Genomic Sciences (2011) 5:21-29 DOI:10.4056/sigs.2124912 Complete genome sequence of the gliding freshwater bacterium Fluviicola taffensis type strain (RW262T) Tanja Woyke1, Olga Chertkov1, Alla Lapidus1, Matt Nolan1, Susan Lucas1, Tijana Glavina Del Rio1, Hope Tice1, Jan-Fang Cheng1, Roxanne Tapia1,2, Cliff Han1,2, Lynne Goodwin1,2, Sam Pitluck1, Konstantinos Liolios1, Ioanna Pagani1, Natalia Ivanova1, Marcel Huntemann1, Konstantinos Mavromatis1, Natalia Mikhailova1, Amrita Pati1, Amy Chen3, Krishna Palaniappan3, Miriam Land1,4, Loren Hauser1,4, Evelyne-Marie Brambilla5, Manfred Rohde6, Romano Mwirichia7, Johannes Sikorski5, Brian J. Tindall5, Markus Göker5, James Bristow1, Jonathan A. Eisen1,7, Victor Markowitz4, Philip Hugenholtz1,9, Hans-Peter Klenk5, and Nikos C. Kyrpides1* 1 DOE Joint Genome Institute, Walnut Creek, California, USA 2 Los Alamos National Laboratory, Bioscience Division, Los Alamos, New Mexico, USA 3 Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, California, USA 4 Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA 5 DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany 6 HZI – Helmholtz Centre for Infection Research, Braunschweig, Germany 7 Jomo Kenyatta University of Agriculture and Technology, Kenya 8 University of California Davis Genome Center, Davis, California, USA 9 Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia *Corresponding author: Nikos C. -
Spatiotemporal Dynamics of Marine Bacterial and Archaeal Communities in Surface Waters Off the Northern Antarctic Peninsula
Spatiotemporal dynamics of marine bacterial and archaeal communities in surface waters off the northern Antarctic Peninsula Camila N. Signori, Vivian H. Pellizari, Alex Enrich Prast and Stefan M. Sievert The self-archived postprint version of this journal article is available at Linköping University Institutional Repository (DiVA): http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149885 N.B.: When citing this work, cite the original publication. Signori, C. N., Pellizari, V. H., Enrich Prast, A., Sievert, S. M., (2018), Spatiotemporal dynamics of marine bacterial and archaeal communities in surface waters off the northern Antarctic Peninsula, Deep-sea research. Part II, Topical studies in oceanography, 149, 150-160. https://doi.org/10.1016/j.dsr2.2017.12.017 Original publication available at: https://doi.org/10.1016/j.dsr2.2017.12.017 Copyright: Elsevier http://www.elsevier.com/ Spatiotemporal dynamics of marine bacterial and archaeal communities in surface waters off the northern Antarctic Peninsula Camila N. Signori1*, Vivian H. Pellizari1, Alex Enrich-Prast2,3, Stefan M. Sievert4* 1 Departamento de Oceanografia Biológica, Instituto Oceanográfico, Universidade de São Paulo (USP). Praça do Oceanográfico, 191. CEP: 05508-900 São Paulo, SP, Brazil. 2 Department of Thematic Studies - Environmental Change, Linköping University. 581 83 Linköping, Sweden 3 Departamento de Botânica, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ). Av. Carlos Chagas Filho, 373. CEP: 21941-902. Rio de Janeiro, Brazil 4 Biology Department, Woods Hole Oceanographic Institution (WHOI). 266 Woods Hole Road, Woods Hole, MA 02543, United States. *Corresponding authors: Camila Negrão Signori Address: Departamento de Oceanografia Biológica, Instituto Oceanográfico, Universidade de São Paulo, São Paulo, Brazil. -
High Quality Permanent Draft Genome Sequence of Chryseobacterium Bovis DSM 19482T, Isolated from Raw Cow Milk
Lawrence Berkeley National Laboratory Recent Work Title High quality permanent draft genome sequence of Chryseobacterium bovis DSM 19482T, isolated from raw cow milk. Permalink https://escholarship.org/uc/item/4b48v7v8 Journal Standards in genomic sciences, 12(1) ISSN 1944-3277 Authors Laviad-Shitrit, Sivan Göker, Markus Huntemann, Marcel et al. Publication Date 2017 DOI 10.1186/s40793-017-0242-6 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Laviad-Shitrit et al. Standards in Genomic Sciences (2017) 12:31 DOI 10.1186/s40793-017-0242-6 SHORT GENOME REPORT Open Access High quality permanent draft genome sequence of Chryseobacterium bovis DSM 19482T, isolated from raw cow milk Sivan Laviad-Shitrit1, Markus Göker2, Marcel Huntemann3, Alicia Clum3, Manoj Pillay3, Krishnaveni Palaniappan3, Neha Varghese3, Natalia Mikhailova3, Dimitrios Stamatis3, T. B. K. Reddy3, Chris Daum3, Nicole Shapiro3, Victor Markowitz3, Natalia Ivanova3, Tanja Woyke3, Hans-Peter Klenk4, Nikos C. Kyrpides3 and Malka Halpern1,5* Abstract Chryseobacterium bovis DSM 19482T (Hantsis-Zacharov et al., Int J Syst Evol Microbiol 58:1024-1028, 2008) is a Gram-negative, rod shaped, non-motile, facultative anaerobe, chemoorganotroph bacterium. C. bovis is a member of the Flavobacteriaceae, a family within the phylum Bacteroidetes. It was isolated when psychrotolerant bacterial communities in raw milk and their proteolytic and lipolytic traits were studied. Here we describe the features of this organism, together with the draft genome sequence and annotation. The DNA G + C content is 38.19%. The chromosome length is 3,346,045 bp. It encodes 3236 proteins and 105 RNA genes. The C. bovis genome is part of the Genomic Encyclopedia of Type Strains, Phase I: the one thousand microbial genomes study. -
Evaluation of a New High-Throughput Method for Identifying Quorum
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Ghent University Academic Bibliography OPEN Evaluation of a new high-throughput SUBJECT AREAS: method for identifying quorum BACTERIA APPLIED MICROBIOLOGY quenching bacteria HIGH-THROUGHPUT SCREENING Kaihao Tang1, Yunhui Zhang1, Min Yu1, Xiaochong Shi1, Tom Coenye2, Peter Bossier3 & Xiao-Hua Zhang1 MICROBIOLOGY TECHNIQUES 1College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China, 2Laboratory of Pharmaceutical 3 Received Microbiology, Ghent University, 9000 Gent, Belgium, Laboratory of Aquaculture & Artemia Reference Center, Ghent University, 29 April 2013 9000 Gent, Belgium. Accepted 25 September 2013 Quorum sensing (QS) is a population-dependent mechanism for bacteria to synchronize social behaviors such as secretion of virulence factors. The enzymatic interruption of QS, termed quorum quenching (QQ), Published has been suggested as a promising alternative anti-virulence approach. In order to efficiently identify QQ 14 September 2013 bacteria, we developed a simple, sensitive and high-throughput method based on the biosensor Agrobacterium tumefaciens A136. This method effectively eliminates false positives caused by inhibition of growth of biosensor A136 and alkaline hydrolysis of N-acylhomoserine lactones (AHLs), through normalization of b-galactosidase activities and addition of PIPES buffer, respectively. Our novel approach Correspondence and was successfully applied in identifying QQ bacteria among 366 strains and 25 QQ strains belonging to 14 requests for materials species were obtained. Further experiments revealed that the QQ strains differed widely in terms of the type should be addressed to of QQ enzyme, substrate specificity and heat resistance. The QQ bacteria identified could possibly be used to X.-H.Z. -
Recurring Patterns in Bacterioplankton Dynamics During Coastal Spring
RESEARCH ARTICLE Recurring patterns in bacterioplankton dynamics during coastal spring algae blooms Hanno Teeling1*†, Bernhard M Fuchs1*†, Christin M Bennke1‡, Karen Kru¨ ger1, Meghan Chafee1, Lennart Kappelmann1, Greta Reintjes1, Jost Waldmann1, Christian Quast1, Frank Oliver Glo¨ ckner1, Judith Lucas2, Antje Wichels2, Gunnar Gerdts2, Karen H Wiltshire3, Rudolf I Amann1* 1Max Planck Institute for Marine Microbiology, Bremen, Germany; 2Biologische Anstalt Helgoland, Alfred Wegener Institute for Polar and Marine Research, Helgoland, Germany; 3Alfred Wegener Institute for Polar and Marine Research, List auf Sylt, Germany Abstract A process of global importance in carbon cycling is the remineralization of algae biomass by heterotrophic bacteria, most notably during massive marine algae blooms. Such blooms can trigger secondary blooms of planktonic bacteria that consist of swift successions of distinct *For correspondence: hteeling@ mpi-bremen.de (HT); bfuchs@mpi- bacterial clades, most prominently members of the Flavobacteriia, Gammaproteobacteria and the bremen.de (BMF); ramann@mpi- alphaproteobacterial Roseobacter clade. We investigated such successions during spring bremen.de (RIA) phytoplankton blooms in the southern North Sea (German Bight) for four consecutive years. Dense sampling and high-resolution taxonomic analyses allowed the detection of recurring patterns down † These authors contributed to the genus level. Metagenome analyses also revealed recurrent patterns at the functional level, in equally to this work particular with respect to algal polysaccharide degradation genes. We, therefore, hypothesize that Present address: ‡Section even though there is substantial inter-annual variation between spring phytoplankton blooms, the Biology, Leibniz Institute for accompanying succession of bacterial clades is largely governed by deterministic principles such as Baltic Sea Research, substrate-induced forcing. -
The Gut Microbiome of the Sea Urchin, Lytechinus Variegatus, from Its Natural Habitat Demonstrates Selective Attributes of Micro
FEMS Microbiology Ecology, 92, 2016, fiw146 doi: 10.1093/femsec/fiw146 Advance Access Publication Date: 1 July 2016 Research Article RESEARCH ARTICLE The gut microbiome of the sea urchin, Lytechinus variegatus, from its natural habitat demonstrates selective attributes of microbial taxa and predictive metabolic profiles Joseph A. Hakim1,†, Hyunmin Koo1,†, Ranjit Kumar2, Elliot J. Lefkowitz2,3, Casey D. Morrow4, Mickie L. Powell1, Stephen A. Watts1,∗ and Asim K. Bej1,∗ 1Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, Birmingham, AL 35294, USA, 2Center for Clinical and Translational Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA, 3Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA and 4Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, 1918 University Blvd., Birmingham, AL 35294, USA ∗Corresponding authors: Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, CH464, Birmingham, AL 35294-1170, USA. Tel: +1-(205)-934-8308; Fax: +1-(205)-975-6097; E-mail: [email protected]; [email protected] †These authors contributed equally to this work. One sentence summary: This study describes the distribution of microbiota, and their predicted functional attributes, in the gut ecosystem of sea urchin, Lytechinus variegatus, from its natural habitat of Gulf of Mexico. Editor: Julian Marchesi ABSTRACT In this paper, we describe the microbial composition and their predictive metabolic profile in the sea urchin Lytechinus variegatus gut ecosystem along with samples from its habitat by using NextGen amplicon sequencing and downstream bioinformatics analyses. The microbial communities of the gut tissue revealed a near-exclusive abundance of Campylobacteraceae, whereas the pharynx tissue consisted of Tenericutes, followed by Gamma-, Alpha- and Epsilonproteobacteria at approximately equal capacities. -
PDF (Figs S1-S3)
Supplemental Figures S1 – S3, and Supplemental Table Legends Supplemental Figure S1. Heatmap of the top 25 16S rRNA gene OTUs, including chloroplast, with percent relative abundance values shown for each labeled taxon. OTUs are named by Phyla, and the most likely genera. Supplemental Figure S2. Phylogenetic tree of 16S rRNA gene sequences identified from MAGs within the bacterial and archaeal dataset. Accession numbers of near relatives are shown in addition to MAG numbers from which 16S sequence originated. The unbootstrapped tree was produced by adding aligned 16S rRNA gene sequence to the global SILVA tree within ARB, and removing unnecessary sequence to reduce tree size. Supplemental Figure S3. KEGG metabolic map of genes identified within the putative Picocystis MAG (eukaryotic MAG 1). Identified enzymes and pathways are shown in green. Supplemental Table S1. Water chemistry (ICP AES/IC) results from Mono Lake, well water, and Lee Vining, Mill, Rush, and Wilson creeks. Filter volumes (in mL) for all water samples. Supplemental Table S2. 16S/18S rRNA gene sequencing mapping file and summary statistics of individual rRNA gene sequence libraries after quality control. Supplemental Table S3. Summary statistics of metagenomic and transcriptomic assemblies. Identified genes within each assembly (“Gene hits”) from 2, 20, 25 m and sediment samples. Summary statistics and putative identification of MAGs using CheckM, and identified genes within MAGs. Supplemental Table S4. Identified transcripts across the de novo co-assembled metatranscriptome, including differential expression results. Avalible for download at http://dx.doi.org/10.6084/m9.figshare.6272159. Supplemental Table S5. Minimum information for publication of quantitative real-time PCR experiments (MIQE) for 16S and 18S rRNA gene qPCR. -
Owenweeksia Hongkongensis UST20020801T
Lawrence Berkeley National Laboratory Recent Work Title Genome sequence of the orange-pigmented seawater bacterium Owenweeksia hongkongensis type strain (UST20020801(T)). Permalink https://escholarship.org/uc/item/8734g6jx Journal Standards in genomic sciences, 7(1) ISSN 1944-3277 Authors Riedel, Thomas Held, Brittany Nolan, Matt et al. Publication Date 2012-10-01 DOI 10.4056/sigs.3296896 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Standards in Genomic Sciences (2012) 7:120-130 DOI:10.4056/sigs.3296896 Genome sequence of the orange-pigmented seawater bacterium Owenweeksia hongkongensis type strain (UST20020801T) Thomas Riedel1, Brittany Held2,3, Matt Nolan2, Susan Lucas2, Alla Lapidus2, Hope Tice2, Tijana Glavina Del Rio2, Jan-Fang Cheng2, Cliff Han2,3, Roxanne Tapia2,3, Lynne A. Goodwin2,3, Sam Pitluck2, Konstantinos Liolios2, Konstantinos Mavromatis2, Ioanna Pagani2, Natalia Ivanova2, Natalia Mikhailova2, Amrita Pati2, Amy Chen4, Krishna Palaniappan4, Manfred Rohde1, Brian J. Tindall6, John C. Detter2,3, Markus Göker6, Tanja Woyke2, James Bristow2, Jonathan A. Eisen2,7, Victor Markowitz4, Philip Hugenholtz2,8, Hans-Peter Klenk6*, and Nikos C. Kyrpides2 1 HZI – Helmholtz Centre for Infection Research, Braunschweig, Germany 2 DOE Joint Genome Institute, Walnut Creek, California, USA 3 Los Alamos National Laboratory, Bioscience Division, Los Alamos, New Mexico, USA 4 Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, California, USA 5 Oak -
Compile.Xlsx
Silva OTU GS1A % PS1B % Taxonomy_Silva_132 otu0001 0 0 2 0.05 Bacteria;Acidobacteria;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un; otu0002 0 0 1 0.02 Bacteria;Acidobacteria;Acidobacteriia;Solibacterales;Solibacteraceae_(Subgroup_3);PAUC26f; otu0003 49 0.82 5 0.12 Bacteria;Acidobacteria;Aminicenantia;Aminicenantales;Aminicenantales_fa;Aminicenantales_ge; otu0004 1 0.02 7 0.17 Bacteria;Acidobacteria;AT-s3-28;AT-s3-28_or;AT-s3-28_fa;AT-s3-28_ge; otu0005 1 0.02 0 0 Bacteria;Acidobacteria;Blastocatellia_(Subgroup_4);Blastocatellales;Blastocatellaceae;Blastocatella; otu0006 0 0 2 0.05 Bacteria;Acidobacteria;Holophagae;Subgroup_7;Subgroup_7_fa;Subgroup_7_ge; otu0007 1 0.02 0 0 Bacteria;Acidobacteria;ODP1230B23.02;ODP1230B23.02_or;ODP1230B23.02_fa;ODP1230B23.02_ge; otu0008 1 0.02 15 0.36 Bacteria;Acidobacteria;Subgroup_17;Subgroup_17_or;Subgroup_17_fa;Subgroup_17_ge; otu0009 9 0.15 41 0.99 Bacteria;Acidobacteria;Subgroup_21;Subgroup_21_or;Subgroup_21_fa;Subgroup_21_ge; otu0010 5 0.08 50 1.21 Bacteria;Acidobacteria;Subgroup_22;Subgroup_22_or;Subgroup_22_fa;Subgroup_22_ge; otu0011 2 0.03 11 0.27 Bacteria;Acidobacteria;Subgroup_26;Subgroup_26_or;Subgroup_26_fa;Subgroup_26_ge; otu0012 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_5;Subgroup_5_or;Subgroup_5_fa;Subgroup_5_ge; otu0013 1 0.02 13 0.32 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_or;Subgroup_6_fa;Subgroup_6_ge; otu0014 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_un;Subgroup_6_un;Subgroup_6_un; otu0015 8 0.13 30 0.73 Bacteria;Acidobacteria;Subgroup_9;Subgroup_9_or;Subgroup_9_fa;Subgroup_9_ge;