Alberto De Maria

This paper presents a computational workflow for designing and testing E. coli metabolic sensors that detect glyoxylate and glycolate across a wide concentration range, with applications in bioengineering and environmental monitoring.

The paper engineers genome-reduced Pseudomonas putida strains to assimilate formate as a carbon source using a modular approach and adaptive evolution, achieving faster growth and two distinct catabolic pathways.

This study replaces the Calvin cycle in Cupriavidus necator with a synthetic reductive glycine pathway to improve formate assimilation and growth.