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      Active anaerobic methane oxidation and sulfur disproportionation in the deep terrestrial subsurface

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          Abstract

          Microbial life is widespread in the terrestrial subsurface and present down to several kilometers depth, but the energy sources that fuel metabolism in deep oligotrophic and anoxic environments remain unclear. In the deep crystalline bedrock of the Fennoscandian Shield at Olkiluoto, Finland, opposing gradients of abiotic methane and ancient seawater-derived sulfate create a terrestrial sulfate-methane transition zone (SMTZ). We used chemical and isotopic data coupled to genome-resolved metaproteogenomics to demonstrate active life and, for the first time, provide direct evidence of active anaerobic oxidation of methane (AOM) in a deep terrestrial bedrock. Proteins from Methanoperedens (formerly ANME-2d) are readily identifiable despite the low abundance (≤1%) of this genus and confirm the occurrence of AOM. This finding is supported by 13C-depleted dissolved inorganic carbon. Proteins from Desulfocapsaceae and Desulfurivibrionaceae, in addition to 34S-enriched sulfate, suggest that these organisms use inorganic sulfur compounds as both electron donor and acceptor. Zerovalent sulfur in the groundwater may derive from abiotic rock interactions, or from a non-obligate syntrophy with Methanoperedens, potentially linking methane and sulfur cycles in Olkiluoto groundwater. Finally, putative episymbionts from the candidate phyla radiation (CPR) and DPANN archaea represented a significant diversity in the groundwater (26/84 genomes) with roles in sulfur and carbon cycling. Our results highlight AOM and sulfur disproportionation as active metabolisms and show that methane and sulfur fuel microbial activity in the deep terrestrial subsurface.

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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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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

              SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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                Author and article information

                Contributors
                emma.bell1@ucalgary.ca
                rizlan.bernier-latmani@epfl.ch
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                16 February 2022
                16 February 2022
                June 2022
                : 16
                : 6
                : 1583-1593
                Affiliations
                [1 ]GRID grid.5333.6, ISNI 0000000121839049, Environmental Microbiology Laboratory, Environmental Engineering Institute, School of Architecture, Civil and Environmental Engineering, , École Polytechnique Fédérale de Lausanne, ; Lausanne, 1015 Switzerland
                [2 ]GRID grid.425535.0, ISNI 0000 0001 1435 8255, Posiva Oy, ; Eurajoki, 27160 Finland
                [3 ]GRID grid.5037.1, ISNI 0000000121581746, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, , KTH Royal Institute of Technology, ; Stockholm, SE-17121 Sweden
                [4 ]GRID grid.135519.a, ISNI 0000 0004 0446 2659, Chemical Sciences Division, , Oak Ridge National Laboratory, ; Oak Ridge, TN 37830 USA
                [5 ]GRID grid.22072.35, ISNI 0000 0004 1936 7697, Present Address: Department of Biological Sciences, , University of Calgary, ; Calgary, AB T2N 1N4 Canada
                Author information
                http://orcid.org/0000-0002-2064-6496
                http://orcid.org/0000-0003-3581-5181
                http://orcid.org/0000-0001-7208-917X
                http://orcid.org/0000-0001-7708-786X
                http://orcid.org/0000-0001-6547-722X
                Article
                1207
                10.1038/s41396-022-01207-w
                9123182
                35173296
                18ffe37a-50b7-494d-a0bf-eba1e15e9ec9
                © The Author(s) 2022

                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/.

                History
                : 24 August 2021
                : 19 January 2022
                : 28 January 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000015, U.S. Department of Energy (DOE);
                Award ID: DE-AC02-05CH11231
                Award Recipient :
                Funded by: Posiva Oy
                Categories
                Article
                Custom metadata
                © International Society for Microbial Ecology 2022

                Microbiology & Virology
                water microbiology,microbial communities
                Microbiology & Virology
                water microbiology, microbial communities

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