Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands.

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, r

SUBMITTER: Bechtold EK 

PROVIDER: S-EPMC11754854 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature