Genome-driven evolutionary game theory helps understand the rise of metabolic interdependencies in microbial communities

Bridging traditional evolutionary game theory and metabolic models

Selfishness driving reductive evolution shapes interdependent

Cell Growth Model with Stochastic Gene Expression Helps Understand

Multi-genome metabolic modeling predicts functional inter

Designing Metabolic Division of Labor in Microbial Communities

Ecological Drivers of Community Cohesion

Selfishness driving reductive evolution shapes interdependent

Publications – THE ZOMORRODI LAB @ MGH

Prevalent emergence of reciprocity among cross-feeding bacteria

Cell Growth Model with Stochastic Gene Expression Helps Understand

Understanding and Engineering Distributed Biochemical Pathways in

Designing Metabolic Division of Labor in Microbial Communities

Genome-driven evolutionary game theory helps understand the rise