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      Peatland Acidobacteria with a dissimilatory sulfur metabolism

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          Abstract

          Sulfur-cycling microorganisms impact organic matter decomposition in wetlands and consequently greenhouse gas emissions from these globally relevant environments. However, their identities and physiological properties are largely unknown. By applying a functional metagenomics approach to an acidic peatland, we recovered draft genomes of seven novel Acidobacteria species with the potential for dissimilatory sulfite ( dsrAB, dsrC, dsrD, dsrN, dsrT, dsrMKJOP) or sulfate respiration ( sat, aprBA, qmoABC plus dsr genes). Surprisingly, the genomes also encoded DsrL, which so far was only found in sulfur-oxidizing microorganisms. Metatranscriptome analysis demonstrated expression of acidobacterial sulfur-metabolism genes in native peat soil and their upregulation in diverse anoxic microcosms. This indicated an active sulfate respiration pathway, which, however, might also operate in reverse for dissimilatory sulfur oxidation or disproportionation as proposed for the sulfur-oxidizing Desulfurivibrio alkaliphilus. Acidobacteria that only harbored genes for sulfite reduction additionally encoded enzymes that liberate sulfite from organosulfonates, which suggested organic sulfur compounds as complementary energy sources. Further metabolic potentials included polysaccharide hydrolysis and sugar utilization, aerobic respiration, several fermentative capabilities, and hydrogen oxidation. Our findings extend both, the known physiological and genetic properties of Acidobacteria and the known taxonomic diversity of microorganisms with a DsrAB-based sulfur metabolism, and highlight new fundamental niches for facultative anaerobic Acidobacteria in wetlands based on exploitation of inorganic and organic sulfur molecules for energy conservation.

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          featureCounts: An efficient general-purpose program for assigning sequence reads to genomic features

          , , (2013)
          Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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            Identifying the dominant soil bacterial taxa in libraries of 16S rRNA and 16S rRNA genes.

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              Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.

              The complete genomes of three strains from the phylum Acidobacteria were compared. Phylogenetic analysis placed them as a unique phylum. They share genomic traits with members of the Proteobacteria, the Cyanobacteria, and the Fungi. The three strains appear to be versatile heterotrophs. Genomic and culture traits indicate the use of carbon sources that span simple sugars to more complex substrates such as hemicellulose, cellulose, and chitin. The genomes encode low-specificity major facilitator superfamily transporters and high-affinity ABC transporters for sugars, suggesting that they are best suited to low-nutrient conditions. They appear capable of nitrate and nitrite reduction but not N(2) fixation or denitrification. The genomes contained numerous genes that encode siderophore receptors, but no evidence of siderophore production was found, suggesting that they may obtain iron via interaction with other microorganisms. The presence of cellulose synthesis genes and a large class of novel high-molecular-weight excreted proteins suggests potential traits for desiccation resistance, biofilm formation, and/or contribution to soil structure. Polyketide synthase and macrolide glycosylation genes suggest the production of novel antimicrobial compounds. Genes that encode a variety of novel proteins were also identified. The abundance of acidobacteria in soils worldwide and the breadth of potential carbon use by the sequenced strains suggest significant and previously unrecognized contributions to the terrestrial carbon cycle. Combining our genomic evidence with available culture traits, we postulate that cells of these isolates are long-lived, divide slowly, exhibit slow metabolic rates under low-nutrient conditions, and are well equipped to tolerate fluctuations in soil hydration.
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                Author and article information

                Contributors
                +49 531 2616 237 , michael.pester@dsmz.de
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                23 February 2018
                23 February 2018
                July 2018
                : 12
                : 7
                : 1729-1742
                Affiliations
                [1 ]ISNI 0000 0001 2286 1424, GRID grid.10420.37, Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Research Network Chemistry meets Microbiology, , University of Vienna, ; Vienna, Austria
                [2 ]ISNI 0000 0001 0658 7699, GRID grid.9811.1, Department of Biology, , University of Konstanz, ; Konstanz, Germany
                [3 ]ISNI 0000 0001 0742 471X, GRID grid.5117.2, Department of Chemistry and Bioscience, Center for Microbial Communities, , Aalborg University, ; Aalborg, Denmark
                [4 ]ISNI 0000 0004 0449 479X, GRID grid.451309.a, US Department of Energy Joint Genome Institute, ; Walnut Creek, CA USA
                [5 ]ISNI 0000 0001 2286 1424, GRID grid.10420.37, Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, Research Network Chemistry meets Microbiology, , University of Vienna, ; Vienna, Austria
                [6 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Department for Microbiology and Cell Science, Fort Lauderdale Research and Education Center, UF/IFAS, , University of Florida, ; Davie, FL USA
                [7 ]ISNI 0000 0000 9247 8466, GRID grid.420081.f, Leibniz Institute DSMZ, ; Braunschweig, Germany
                Author information
                http://orcid.org/0000-0002-0846-1202
                http://orcid.org/0000-0002-6151-190X
                http://orcid.org/0000-0002-6402-1877
                http://orcid.org/0000-0002-0592-7791
                http://orcid.org/0000-0002-0684-2597
                http://orcid.org/0000-0001-6479-8427
                http://orcid.org/0000-0001-8923-5882
                Article
                77
                10.1038/s41396-018-0077-1
                6018796
                29476143
                c3cf5a61-329a-4ee7-9665-8ab0620034cd
                © The Author(s) 2018

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 October 2017
                : 21 December 2017
                : 20 January 2018
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                © International Society for Microbial Ecology 2018

                Microbiology & Virology
                Microbiology & Virology

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