Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites.

ABSTRACT: The composition of medium components is crucial for achieving the best performance of synthetic construction in genetically engineered cells. Which and how medium components determine the performance, e.g., productivity, remain poorly investigated. To address the questions, a comparative survey with two genetically engineered Escherichia coli strains was performed. As a case study, the strains carried the synthetic pathways for producing the aromatic compounds of 4-aminophenylalanine (4APhe) or tyrosine (Tyr), common in the upstream but differentiated in the downstream metabolism. Bacterial growth and compound production were examined in hundreds of medium combinations that comprised 48 pure chemicals. The resultant data sets linking the medium composition to bacterial growth and pr

SUBMITTER: Aida H 

PROVIDER: S-EPMC10149329 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature