Emily B. Graham

Genome-scale metabolic models reveal phylogenetic conservation of amino acid fermentation-linked metabolic traits in soil bacteria

The paper constructs genome-scale metabolic models for soil bacteria to identify phylogenetically conserved fermentation traits and their metabolic fluxes.

Phytoplankton Dynamics and Urbanization Gradients Reshape Dissolved Organic Matter and Microbial Networks across a Freshwater Estuary

The paper examines how urbanization affects dissolved organic matter and microbial networks in a freshwater estuary by analyzing seasonal and spatial gradients.

Modeling Microbial Regulatory Feedback in Organic Matter Decomposition Identifies Copiotrophic Traits as Key Drivers of Positive Priming

This paper models microbial regulatory feedback in organic matter decomposition, finding copiotrophic traits drive positive priming effects.

Urban soil microbiomes exhibit taxonomic and functional potential for enhanced contaminant cycling

The paper analyzes urban soil microbiomes to identify taxonomic and functional patterns linked to urbanization, revealing core microbial taxa and metabolic processes associated with urban environments.

Continental-scale integration of soil metagenomes and metabolomes reveals ubiquitous microbial capacity for recalcitrant carbon decomposition.

The paper integrates soil metagenomes and metabolomes across the US to show microbial potential for decomposing recalcitrant carbon compounds, revealing metabolic specialization among bacterial and archaeal taxa.

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

This paper introduces a new biogeochemical modeling approach that explicitly represents organic matter thermodynamics to improve predictions of microbial degradation processes and their environmental impacts.

Multi omics comparison reveals metabolome biochemistry, not microbiome composition or gene expression, corresponds to elevated biogeochemical function in the hyporheic zone

The paper compares multi-omics data to show that metabolome biochemistry, not microbiome composition or gene expression, correlates with elevated biogeochemical function in hyporheic zones.