Christopher W. Johnson

Pathway selection for arabinose utilization in Pseudomonas putida reveals a rate-yield tradeoff in muconic acid production from lignocellulosic sugars

This study compares two arabinose utilization pathways in Pseudomonas putida to optimize muconic acid production from lignocellulosic sugars, finding a tradeoff between growth rate and yield.

Overcoming protocatechuate and catechol accumulation in muconic acid production via adaptive laboratory evolution and metabolic engineering in Pseudomonas putida

This paper improves muconic acid production in Pseudomonas putida by overcoming PCA and catechol accumulation through adaptive evolution and metabolic engineering, showing that increased CatA1 expression enhances pathway efficiency.

Simultaneous optimization of lignocellulosic sugar catabolism via systematic laboratory evolution in dynamic conditions

This study evolves a microbial strain under dynamic conditions to optimize sugar catabolism, finding that mixed-sugar environments promote stable retention and coordinated optimization of multiple pathways.

Machine-learning from Pseudomonas putida transcriptomes reveals its transcriptional regulatory network

This study uses machine learning to uncover the genome-scale transcriptional regulatory network in Pseudomonas putida using gene expression data.