Javier Menasalvas

The paper uses a biosensor-driven strategy to enhance isoprenol production in Pseudomonas putida through combinatorial strain engineering and omics analysis.

This study uses RB-TnSeq to identify genetic basis of dicarboxylic acid metabolism in β-proteobacteria, revealing distinct metabolic pathways and enabling plastic waste upcycling.

This study identifies fumarate hydratase activity as a bottleneck in a genome-scale metabolic model design for bioproduction from para-coumarate, requiring optimization for growth and product formation.

The paper develops growth-coupled microbial strains for high-yield indigoidine production using iterative engineering and computational evaluation.

The paper optimizes a P. putida strain for indigoidine production using 13C-MFA and metabolomics, identifying key metabolic bottlenecks and engineering improvements.