Troy E. Sandberg

This study uses adaptive laboratory evolution to identify five transcriptional mechanisms enabling Escherichia coli to grow at high temperatures.

This paper designs and evolves synthetic syntrophic E. coli pairs using a novel algorithm, revealing metabolic changes that enhance community fitness and guide co-culture optimization.

This study uses adaptive laboratory evolution to reveal divergent transcriptomic and metabolomic adaptations in E. coli knockout strains with similar initial perturbations.

The paper shows how multiple optimal phenotypes emerge in Escherichia coli pgi knockout strains through adaptive evolution, overcoming redox and metabolite imbalances.

The paper develops a quantitative framework to predict ROS stress responses in E. coli across molecular, network, and genetic levels.

This study shows that enzyme promiscuity enables E. coli to adapt to novel substrates through computational modeling and lab evolution experiments.