David W Hoyt

The paper maps soil microbiome functions in wetlands to understand methane emissions by analyzing microbial communities and gene expression across spatial and temporal gradients.

The paper shows that microbial blooms during snowmelt drive nitrogen transformations, increasing nitrogen retention through organic and inorganic pathways.

This study quantifies carbon assimilation in serpentinizing rocks, finding dissolved inorganic carbon supports robust microbial anabolism and methanogenesis even at high pH.

This study identifies cryptic methane cycling in coastal wetland sediments through geochemical and molecular analyses, showing methanogenesis and anaerobic methane oxidation co-occur with sulfate and iron reduction.

This study shows that catechin reduces methane emissions in peatlands by altering microbial metabolism and depriving methanogens of substrates.

The paper curates a database of gut microbial genes linked to trimethylamine-induced cardiovascular disease and validates its predictive power using fecal metatranscriptome and metaproteome data.

ORT links genome-scale metabolic models with reactive transport codes to improve ecosystem models using metagenomic data.