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      Inhibition of Methylmercury and Methane Formation by Nitrous Oxide in Arctic Tundra Soil Microcosms.

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          Abstract

          Climate warming causes permafrost thaw predicted to increase toxic methylmercury (MeHg) and greenhouse gas [i.e., methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O)] formation. A microcosm incubation study with Arctic tundra soil over 145 days demonstrates that N2O at 0.1 and 1 mM markedly inhibited microbial MeHg formation, methanogenesis, and sulfate reduction, while it slightly promoted CO2 production. Microbial community analyses indicate that N2O decreased the relative abundances of methanogenic archaea and microbial clades implicated in sulfate reduction and MeHg formation. Following depletion of N2O, both MeHg formation and sulfate reduction rapidly resumed, whereas CH4 production remained low, suggesting that N2O affected susceptible microbial guilds differently. MeHg formation strongly coincided with sulfate reduction, supporting prior reports linking sulfate-reducing bacteria to MeHg formation in the Arctic soil. This research highlights complex biogeochemical interactions in governing MeHg and CH4 formation and lays the foundation for future mechanistic studies for improved predictive understanding of MeHg and greenhouse gas fluxes from thawing permafrost ecosystems.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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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

                Journal
                Environ Sci Technol
                Environmental science & technology
                American Chemical Society (ACS)
                1520-5851
                0013-936X
                Apr 11 2023
                : 57
                : 14
                Affiliations
                [1 ] Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
                [2 ] Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.
                [3 ] Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
                [4 ] Center for Environmental Biotechnology, University of Tennessee, Knoxville, Tennessee 37996, United States.
                [5 ] Department of Microbiology, University of Tennessee, Knoxville, Tennessee 37996, United States.
                [6 ] Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, Tennessee 37996, United States.
                [7 ] Department of Biosystems Engineering and Soil Science, University of Tennessee, Knoxville, Tennessee 37996, United States.
                Article
                10.1021/acs.est.2c09457
                10100821
                36976621
                15f5643a-bd16-432d-80bb-3a7569a04c92
                History

                microbial community response,methanogenesis,mercury methylation,nitrous oxide,sulfate reduction,Arctic ecosystem,greenhouse gases

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