Jennifer M. Bhatnagar

The paper links soil nitrogen cycling rates to specific microbial functional and taxonomic groups across diverse U.S. ecosystems.

This study identifies microbial functional guilds and genes as key predictors of soil nitrogen and phosphorus cycling rates, alongside soil and plant variables in temperate forests.

The paper introduces SoilMicrobeDB, a genome-based database improving metagenomic classification of soil microorganisms, particularly fungi and uncultivated taxa, and shows it enhances classification accuracy and fungal abundance estimates.

This paper introduces a dynamic flux balance model to simulate extracellular enzyme secretion and activity in microbial communities, finding optimal secretion rates that maximize growth or biomass yield based on environmental conditions.