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      Partitioning of the denitrification pathway and other nitrite metabolisms within global oxygen deficient zones

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          Abstract

          Oxygen deficient zones (ODZs) account for about 30% of total oceanic fixed nitrogen loss via processes including denitrification, a microbially mediated pathway proceeding stepwise from NO 3 to N 2. This process may be performed entirely by complete denitrifiers capable of all four enzymatic steps, but many organisms possess only partial denitrification pathways, either producing or consuming key intermediates such as the greenhouse gas N 2O. Metagenomics and marker gene surveys have revealed a diversity of denitrification genes within ODZs, but whether these genes co-occur within complete or partial denitrifiers and the identities of denitrifying taxa remain open questions. We assemble genomes from metagenomes spanning the ETNP and Arabian Sea, and map these metagenome-assembled genomes (MAGs) to 56 metagenomes from all three major ODZs to reveal the predominance of partial denitrifiers, particularly single-step denitrifiers. We find niche differentiation among nitrogen-cycling organisms, with communities performing each nitrogen transformation distinct in taxonomic identity and motility traits. Our collection of 962 MAGs presents the largest collection of pelagic ODZ microorganisms and reveals a clearer picture of the nitrogen cycling community within this environment.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

              We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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                Author and article information

                Contributors
                izhang@mit.edu
                babbin@mit.edu
                Journal
                ISME Commun
                ISME Commun
                ISME Communications
                Nature Publishing Group UK (London )
                2730-6151
                2730-6151
                20 July 2023
                20 July 2023
                2023
                : 3
                : 76
                Affiliations
                [1 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Department of Earth, Atmospheric and Planetary Sciences, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                [2 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Program in Microbiology, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                [3 ]GRID grid.418000.d, ISNI 0000 0004 0618 5819, Department of Global Ecology, , Carnegie Institution for Science, ; Stanford, CA USA
                [4 ]GRID grid.16750.35, ISNI 0000 0001 2097 5006, Department of Geosciences, , Princeton University, ; Princeton, NJ USA
                Author information
                http://orcid.org/0000-0002-9118-6933
                http://orcid.org/0000-0003-0280-4283
                http://orcid.org/0000-0002-3568-1403
                http://orcid.org/0000-0001-7870-2684
                http://orcid.org/0000-0002-5046-0609
                Article
                284
                10.1038/s43705-023-00284-y
                10359470
                37474642
                ff60d7f9-e20d-4382-b341-e6fee66fe837
                © The Author(s) 2023

                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
                : 19 May 2023
                : 5 July 2023
                : 11 July 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: OCE-2142998
                Award ID: OCE-2138890
                Award Recipient :
                Categories
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                © ISME Publications B.V 2023

                biogeochemistry,microbial ecology
                biogeochemistry, microbial ecology

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