Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands

Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.0.0 database. This resource is used to link microbiome composition to function and methane emissions, focusing on methane-cycling microbes and the networks driving carbon decomposition. We identify eight methane-cycling genera shared across wetlands and show wetland-specific metabolic interactions in marshes, revealing low connections between methanogens and methanotrophs in high-emitting wetlands. Methanoregula emerged as a hub methanogen across networks and is a strong predictor of methane flux. In these wetlands it also displays the functional potential for methylotrophic methanogenesis, highlighting the importance of this pathway in these ecosystems. Collectively, our findings illuminate trends between microbial decomposition networks and methane flux while providing an extensive publicly available database to advance future wetland research.

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Publication Details

Journal
Nature Communications
Published
2025-01-22
DOI
https://doi.org/10.1038/s41467-025-56133-0
Citations
22
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
23.21

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article

Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands

Virginia I. Rich, Eric J. Ward, Djennyfer Karolaine de Melo Ferreira, R. K. Varner et al.
22 citations
Nature Communications
Atmospheric and Environmental Gas Dynamics
23.21
article

Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands

Virginia I. Rich, Eric J. Ward, Djennyfer Karolaine de Melo Ferreira, R. K. Varner, Angela Oliverio, Emily K. Bechtold, Michael J. Wilkins, Gil Bohrer, Kelly C. Wrighton, Sheel Bansal, Joel E. Kostka, Mikayla Borton, Jared Ellenbogen, Jorge A. Villa
article en
22 citations

Abstract

Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.0.0 database. This resource is used to link microbiome composition to function and methane emissions, focusing on methane-cycling microbes and the networks driving carbon decomposition. We identify eight methane-cycling genera shared across wetlands and show wetland-specific metabolic interactions in marshes, revealing low connections between methanogens and methanotrophs in high-emitting wetlands. Methanoregula emerged as a hub methanogen across networks and is a strong predictor of methane flux. In these wetlands it also displays the functional potential for methylotrophic methanogenesis, highlighting the importance of this pathway in these ecosystems. Collectively, our findings illuminate trends between microbial decomposition networks and methane flux while providing an extensive publicly available database to advance future wetland research.

Nature CommunicationsVol. 16(1)
United States Geological Survey (US), Georgia Institute of Technology (US), University of New Hampshire (US), The Ohio State University (US), University of Maryland, College Park (US), Syracuse University (US), University of Louisiana at Lafayette (US), Colorado State University (US)
National Science Foundation, U.S. Department of Energy, Joint Genome Institute, Office of Science, Biological and Environmental Research
Openalex Percentile: Top 0%
Atmospheric and Environmental Gas Dynamics
23.21
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