Kelly C. Wrighton

The paper uses genome-resolved metagenomics to analyze soil samples from an Andean paramo wetland, revealing non-methanogenic microbial lineages and distinct metabolic potential.

The paper investigates how viral dynamics influence carbon metabolism in peat microcosms amended with catechin, showing that viral lysis redistributes intermediates to sustain methane suppression.

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

This paper investigates microbial and geochemical factors influencing methane dynamics in three coastal wetlands with varying salinity, finding that methanogen richness and abundance predict methane concentrations, while methanotrophs vary by site.

The paper identifies and characterizes RNA viruses in permafrost soil over four years, showing their diversity is structured by habitat and linked to greenhouse gas emissions.

The paper examines microbial responses to warming in thawing permafrost peatlands over seven years, finding habitat-specific stability despite environmental changes.

The paper integrates multi-omics data from wetlands to link microbial communities to methane fluxes, identifying conserved genera and metabolic interactions that influence emissions.

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

This study uses multi-omics to analyze Salmonella's metabolic strategies in mice on different diets over time, identifying phase-specific gene expression linked to infection stages and therapeutic targets.

This study investigates how gut microbiome carbon and sulfur metabolisms support Salmonella during infection by analyzing multi-omics data from infected mice.

CAMPER annotates and summarizes polyphenol metabolism genes by combining custom and database searches to improve microbial carbon cycling analysis.

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.

kb_DRAM integrates DRAM tools into KBase for microbial and viral genome annotation and metabolic modeling through a user-friendly interface.

The paper expands the global RNA virome by five-fold, identifying new clades of RNA bacteriophages and revealing novel virus-host interactions.

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