Yeast extract (YE) is a complex nutritional source associated with high performance on microbial production processes. However, its inherent compositional variability challenges its scalability. While prior efforts have focused on growth-associated products, the dynamics of growth-uncoupled production, which leads to higher production rates and conversion yields, still need to be explored. This production scenario is common in large-scale applications. This study presents a systematic approach to replace YE for the production of the terpene amorpha-4,11-diene in Escherichia coli. Sequential processing was successfully applied to identify glutamic acid, alanine, leucine, valine, isoleucine and glycine as the key amino acids (AAs) under slow-growth conditions. Thoroughly applying biomass retention as part of sequential processing increased production capacity by 45% using these AAs instead of YE. Further studies, including flux balance analyses, targeted pyruvate as the common AA precursor. The optimized fed-batch process feeding pyruvate with 0.09 g h enhanced amorpha-4,11-diene production by 37%, although adding only 1% carbon via pyruvate. Flux balance analysis revealed the criteria for optimum pyruvate feeding, for example, to prevent succinate secretion and maintain the NADH/NAD balance. These findings illustrate the interplay between media composition and metabolic activity and provide a successful guideline for identifying lean, best-performing media for industrial applications.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11580704PMC
http://dx.doi.org/10.1111/1751-7915.70056DOI Listing

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