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ABSTRACT: wetland soil bacteria

PROVIDER: PRJNA632503 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR11785736_1.fastq.gz	Fastqsanger.gz
	SRR11785736_2.fastq.gz	Fastqsanger.gz
	SRR11785737_1.fastq.gz	Fastqsanger.gz
	SRR11785737_2.fastq.gz	Fastqsanger.gz
	SRR11785738_1.fastq.gz	Fastqsanger.gz

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Project description:Wetland microbiomes play a crucial role in the global carbon cycle by modulating soil organic carbon (SOC) and greenhouse gas (GHG) emissions. Understanding how microbial communities respond to environmental changes is essential for predicting wetland carbon fluxes under future climate scenarios. Here, we investigated the biogeochemistry of a temperate lacustrine wetland across four seasons and three soil depths, integrating greenhouse gas flux measurements, porewater metabolite profiles, metagenomics, metabolomics, and metaproteomics. While seasonal shifts in GHG fluxes and porewater chemistry were evident, microbial community composition and function were primarily structured by soil depth, suggesting resilience to short-term seasonal fluctuations. Depth-correlated microbial taxa and metabolic pathways revealed distinct stratification: surface soils were enriched in metabolically versatile Gammaproteobacteria capable of oxygen and nitrate respiration, as well as methane and sulfur oxidation, whereas deeper layers favored strict anaerobic metabolism, with increasing abundances of Anaerolinea and Methanomicrobia. Metabolomics showed an enrichment of purine nucleotides and amino acids at the surface, while deeper soils accumulated amino sugars and phenolic compounds, highlighting differences in carbon processing. Metaproteomics confirmed active metabolic pathways, linking functional potential to microbial activity. By integrating multi-omics with biogeochemical measurements, this study provides a system-level view of wetland microbial function and resilience, contributing to predictive models of wetland carbon cycling under future climate change. The work (proposal:https://doi.org/10.46936/10.25585/60000490) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.

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