Mikayla Borton

The paper identifies polyphenol degradation pathways in SAR116 bacterioplankton using pangenomics and metabolic reconstruction, showing their ecological importance in marine carbon cycling.

The paper examines how resident soil microbial diversity and urea amendment history influence the composition and gene expression of a cyanobacterial soil inoculant.

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.

This study shows river sediment microbiomes are highly sensitive to reduced flow velocity, leading to altered community compositions and stress responses that recover after two weeks.

The paper analyzes hyporheic zone microbiomes across North America to show conserved stress responses and distinct metabolic activity in sediments versus surface water.

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 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.

The paper links geochemistry and microbial functional potential to organic matter development across seven rivers using DOM characterization, geochemical analyses, and shotgun metagenomics.

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.

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