Melisa L. Osborne

This study investigates how marine heterotrophic bacteria couple carbon and nitrogen metabolism, revealing patterns based on substrate properties and strain variability.

The paper uses consumer-resource models parametrized from monoculture exometabolite data to predict and design synthetic microbial consortia, revealing the importance of cross-feeding interactions and nonlinear dynamics.

The paper establishes and characterizes a marine bacterial library, identifying genetic variations, growth patterns, and methodological challenges in strain maintenance and analysis.

The paper develops a chemotaxis module for COMETS, a microbial ecosystem simulation tool, and applies it to Pseudomonas simiae to study chemotaxis and metabolism coupling.

This paper introduces FELIX, a tool to detect bias in scientific communication, showing it improves student understanding of social and ethical implications of research.

The paper models bacterial colony morphology by integrating metabolic reactions and biomass propagation, showing realistic colony shapes and metabolic ring formation.