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      In situ development of a methanotrophic microbiome in deep-sea sediments

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          Abstract

          Emission of the greenhouse gas methane from the seabed is globally controlled by marine aerobic and anaerobic methanotrophs gaining energy via methane oxidation. However, the processes involved in the assembly and dynamics of methanotrophic populations in complex natural microbial communities remain unclear. Here we investigated the development of a methanotrophic microbiome following subsurface mud eruptions at Håkon Mosby mud volcano (1250 m water depth). Freshly erupted muds hosted deep-subsurface communities that were dominated by Bathyarchaeota, Atribacteria and Chloroflexi. Methanotrophy was initially limited to a thin surface layer of Methylococcales populations consuming methane aerobically. With increasing distance to the eruptive center, anaerobic methanotrophic archaea, sulfate-reducing Desulfobacterales and thiotrophic Beggiatoaceae developed, and their respective metabolic capabilities dominated the biogeochemical functions of the community. Microbial richness, evenness, and cell numbers of the entire microbial community increased up to tenfold within a few years downstream of the mud flow from the eruptive center. The increasing diversity was accompanied by an up to fourfold increase in sequence abundance of relevant metabolic genes of the anaerobic methanotrophic and thiotrophic guilds. The communities fundamentally changed in their structure and functions as reflected in the metagenome turnover with distance from the eruptive center, and this was reflected in the biogeochemical zonation across the mud volcano caldera. The observed functional succession provides a framework for the response time and recovery of complex methanotrophic communities after disturbances of the deep-sea bed.

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          Accurate determination of microbial diversity from 454 pyrosequencing data.

          We present an algorithm, PyroNoise, that clusters the flowgrams of 454 pyrosequencing reads using a distance measure that models sequencing noise. This infers the true sequences in a collection of amplicons. We pyrosequenced a known mixture of microbial 16S rDNA sequences extracted from a lake and found that without noise reduction the number of operational taxonomic units is overestimated but using PyroNoise it can be accurately calculated.
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                Author and article information

                Contributors
                emil.ruff@ucalgary.ca
                antje.boetius@awi.de
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                28 August 2018
                28 August 2018
                January 2019
                : 13
                : 1
                : 197-213
                Affiliations
                [1 ]ISNI 0000 0004 0491 3210, GRID grid.419529.2, Max Planck Institute for Marine Microbiology, ; Bremen, Germany
                [2 ]ISNI 0000 0001 2297 4381, GRID grid.7704.4, MARUM Center for Marine Environmental Sciences, , University of Bremen, ; Bremen, Germany
                [3 ]Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven, Germany
                [4 ]ISNI 0000 0004 1936 7697, GRID grid.22072.35, Present Address: Department of Geoscience, , University of Calgary, ; Calgary, AB Canada
                [5 ]ISNI 0000 0001 0726 5157, GRID grid.5734.5, Present Address: Institute for Infectious Diseases, , University of Bern, ; Bern, Switzerland
                Author information
                http://orcid.org/0000-0002-4177-6644
                http://orcid.org/0000-0002-1686-8045
                Article
                263
                10.1038/s41396-018-0263-1
                6298960
                30154496
                a19fca96-37d3-4db3-89f7-4a33ac8603c5
                © International Society for Microbial Ecology 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
                : 13 February 2018
                : 6 July 2018
                : 4 August 2018
                Funding
                Funded by: SER was supported by a Deep Life Community Pilot Project Grant and an AITF/Eyes High Postdoctoral Fellowship. Sequencing was enabled by the Deep Carbon Observatory’s Census of Deep Life supported by the Alfred P. Sloan Foundation and performed at the Marine Biological Laboratory (Woods Hole, USA).
                Funded by: HRG-V was supported by the Marie Skłodowska-Curie actions - Research Fellowship Programme.
                Funded by: This study has been supported by the LOOME demonstration project of the EU 6th FP programme ESONET (EC No. 036851) and the EU 7th FP programme HERMIONE (EC No. 226354). Additional funds were made available by the Helmholtz Association, the Max Planck Society and the DFG METEOR/MERIAN programme, as well as the Leibniz programme awarded to A.B.
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                © International Society for Microbial Ecology 2019

                Microbiology & Virology
                Microbiology & Virology

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