4.7 Article

Metabolic engineering strategies for naringenin production enhancement in Streptomyces albidoflavus J1074

Journal

MICROBIAL CELL FACTORIES
Volume 22, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12934-023-02172-5

Keywords

Flavonoid; Polyphenol; Genome editing; Fermentation optimization; Malonate

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By combining various metabolic engineering strategies, fermentation strategies, and genome editing approaches, the production of naringenin from Streptomyces albidoflavus J1074 was significantly increased by a remarkable 375-fold, from 0.06 mg/L to 22.47 mg/L. This study demonstrates the influence of fermentation conditions on the final yield of a bioactive compound and identifies various bottlenecks that affect production.
Background Naringenin is an industrially relevant compound due to its multiple pharmaceutical properties as well as its central role in flavonoid biosynthesis. Results On our way to develop Streptomyces albidoflavus J1074 as a microbial cell factory for naringenin production, we have significantly increased the yields of this flavanone by combining various metabolic engineering strategies, fermentation strategies and genome editing approaches in a stepwise manner. Specifically, we have screened different cultivation media to identify the optimal production conditions and have investigated how the additive feeding of naringenin precursors influences the production. Furthermore, we have employed genome editing strategies to remove biosynthetic gene clusters (BGCs) associated with pathways that might compete with naringenin biosynthesis for malonyl-CoA precursors. Moreover, we have expressed MatBC, coding for a malonate transporter and an enzyme responsible for the conversion of malonate into malonyl-CoA, respectively, and have duplicated the naringenin BGC, further contributing to the production improvement. By combining all of these strategies, we were able to achieve a remarkable 375-fold increase (from 0.06 mg/L to 22.47 mg/L) in naringenin titers. Conclusion This work demonstrates the influence that fermentation conditions have over the final yield of a bioactive compound of interest and highlights various bottlenecks that affect production. Once such bottlenecks are identified, different strategies can be applied to overcome them, although the efficiencies of such strategies may vary and are difficult to predict.

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