Identification of parallel and divergent optimization solutions for homologous metabolic enzymes
Abstract
Metabolic pathway assembly typically involves the expression of enzymes from multiple organisms in a single heterologous host. Ensuring that each enzyme functions effectively can be challenging, since many potential factors can disrupt proper pathway flux. These challenges are amplified when the enzymes are expressed at single copy from the chromosome. We have explored these issues using 4-hydroxybenzoate monooxygenase homologs heterologously expressed in Escherichia coli. Initial chromosomal enzyme expression was insufficient to support consistent growth with 4-hydroxybenzoate. Experimental evolution identified mutations that improved pathway activity. One set of mutations was common between homologs, while a second class of mutations was homolog-specific. Ultimately, we were able to identify a set of mutations that provided sufficient activity for growth with 4-hydroxybenzoate while maintaining or improving growth with protocatechuate. These findings demonstrate the potential for flexible, scalable chromosomal pathway engineering, as well as the value of directed evolution strategies to rapidly identify and overcome diverse factors limiting enzyme activity.
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