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      Methylotrophy in the Mire: direct and indirect routes for methane production in thawing permafrost

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          ABSTRACT

          While wetlands are major sources of biogenic methane (CH 4), our understanding of resident microbial metabolism is incomplete, which compromises the prediction of CH 4 emissions under ongoing climate change. Here, we employed genome-resolved multi-omics to expand our understanding of methanogenesis in the thawing permafrost peatland of Stordalen Mire in Arctic Sweden. In quadrupling the genomic representation of the site’s methanogens and examining their encoded metabolism, we revealed that nearly 20% of the metagenome-assembled genomes (MAGs) encoded the potential for methylotrophic methanogenesis. Further, 27% of the transcriptionally active methanogens expressed methylotrophic genes; for Methanosarcinales and Methanobacteriales MAGs, these data indicated the use of methylated oxygen compounds (e.g., methanol), while for Methanomassiliicoccales, they primarily implicated methyl sulfides and methylamines. In addition to methanogenic methylotrophy, >1,700 bacterial MAGs across 19 phyla encoded anaerobic methylotrophic potential, with expression across 12 phyla. Metabolomic analyses revealed the presence of diverse methylated compounds in the Mire, including some known methylotrophic substrates. Active methylotrophy was observed across all stages of a permafrost thaw gradient in Stordalen, with the most frozen non-methanogenic palsa found to host bacterial methylotrophy and the partially thawed bog and fully thawed fen seen to house both methanogenic and bacterial methylotrophic activities. Methanogenesis across increasing permafrost thaw is thus revised from the sole dominance of hydrogenotrophic production and the appearance of acetoclastic at full thaw to consider the co-occurrence of methylotrophy throughout. Collectively, these findings indicate that methanogenic and bacterial methylotrophy may be an important and previously underappreciated component of carbon cycling and emissions in these rapidly changing wetland habitats.

          IMPORTANCE

          Wetlands are the biggest natural source of atmospheric methane (CH 4) emissions, yet we have an incomplete understanding of the suite of microbial metabolism that results in CH 4 formation. Specifically, methanogenesis from methylated compounds is excluded from all ecosystem models used to predict wetland contributions to the global CH 4 budget. Though recent studies have shown methylotrophic methanogenesis to be active across wetlands, the broad climatic importance of the metabolism remains critically understudied. Further, some methylotrophic bacteria are known to produce methanogenic by-products like acetate, increasing the complexity of the microbial methylotrophic metabolic network. Prior studies of Stordalen Mire have suggested that methylotrophic methanogenesis is irrelevant in situ and have not emphasized the bacterial capacity for metabolism, both of which we countered in this study. The importance of our findings lies in the significant advancement toward unraveling the broader impact of methylotrophs in wetland methanogenesis and, consequently, their contribution to the terrestrial global carbon cycle.

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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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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing – original draftRole: Writing – review and editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – original draftRole: Writing – review and editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review and editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review and editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: Writing – review and editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review and editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review and editing
                Role: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review and editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review and editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review and editing
                Role: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review and editing
                Role: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review and editing
                Role: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review and editing
                Role: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review and editing
                Role: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review and editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – original draftRole: Writing – review and editing
                Role: Editor
                Journal
                mSystems
                mSystems
                msystems
                mSystems
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5077
                January 2024
                08 December 2023
                08 December 2023
                : 9
                : 1
                : e00698-23
                Affiliations
                [1 ]Department of Soil and Crop Science, Colorado State University; , Fort Collins, Colorado, USA
                [2 ]Department of Microbiology, The Ohio State University; , Columbus, Ohio, USA
                [3 ]Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Division, Pacific Northwest National Laboratory; , Richland, Washington, USA
                [4 ]Department of Environmental Science, University of Arizona; , Tucson, Arizona, USA
                [5 ]Gosnell School of Life Sciences, Rochester Institute of Technology; , Rochester, New York, USA
                [6 ]Department of Earth Sciences and Institute for the Study of Earth, Oceans and Space, University of New Hampshire; , Durham, New Hampshire, USA
                [7 ]Department of Geological Sciences, Bolin Center for Climate Research, Stockholm University; , Stockholm, Sweden
                [8 ]Department of Ecology and Evolutionary Biology, University of Arizona; , Tucson, Arizona, USA
                [9 ]Earth Ocean and Atmospheric Sciences, Florida State University; , Tallahassee, Florida, USA
                [10 ]Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology (QUT), Translational Research Institute; , Woolloongabba, Queensland, Australia
                University of East Anglia; , Norwich, United Kingdom
                Author notes
                Address correspondence to Kelly C. Wrighton, Kelly.Wrighton@ 123456colostate.edu

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-1692-9044
                https://orcid.org/0000-0003-0434-4217
                Article
                00698-23 msystems.00698-23
                10.1128/msystems.00698-23
                10805028
                38063415
                5954f1d9-497b-41bb-8ecf-6503d60d7290
                Copyright © 2023 Ellenbogen et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 06 July 2023
                : 24 October 2023
                Page count
                supplementary-material: 10, authors: 16, Figures: 6, References: 119, Pages: 27, Words: 15964
                Funding
                Funded by: NSF Biology Integration Institutes Program;
                Award ID: 2022070
                Award Recipient :
                Funded by: National Science Foundation (NSF);
                Award ID: 1912915
                Award Recipient :
                Funded by: US NSF Macrosystems Program;
                Award ID: NSF EF 1241037
                Award Recipient :
                Funded by: US DOE BER;
                Award ID: DE-SC0023084
                Award Recipient :
                Funded by: US DOE BER EMSL/FICUS Initiative;
                Award ID: 10.46936/sarr.proj.2018.50229/60000028
                Award Recipient :
                Funded by: US DOE BER EMSL /FICUS Initiative;
                Award ID: 10.46936/lser.proj.2021.51858/60000347
                Award Recipient :
                Funded by: US DOE BER;
                Award ID: DE-SC0023456
                Award Recipient :
                Funded by: Swedish Research Council;
                Award ID: NT 2007-4547
                Award Recipient :
                Funded by: Swedish Research Council;
                Award ID: NT 2013-5562
                Award Recipient :
                Categories
                Research Article
                microbial-ecology, Microbial Ecology
                Custom metadata
                January 2024

                methanogenesis,methylotrophy,stordalen mire,emerge biology integration institute

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