Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida.

ABSTRACT: Although synthetic biology can produce valuable chemicals in a renewable manner, its progress is still hindered by a lack of predictive capabilities. Media optimization is a critical, and often overlooked, process which is essential to obtain the titers, rates and yields needed for commercial viability. Here, we present a molecule- and host-agnostic active learning process for media optimization that is enabled by a fast and highly repeatable semi-automated pipeline. Its application yielded 60% and 70% increases in titer, and 350% increase in process yield in three different campaigns for flaviolin production in Pseudomonas putida KT2440. Explainable Artificial Intelligence techniques pinpointed that, surprisingly, common salt (NaCl) is the most important component influencing production.

SUBMITTER: Zournas A 

PROVIDER: S-EPMC12008372 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature