Dynamic Metabolomics for Engineering Biology: Accelerating Learning Cycles for Bioproduction.

Dynamic Metabolomics for Engineering Biology: Accelerating Learning Cycles for Bioproduction. Trends Biotechnol. 2019 Aug 28;: Authors: Vavricka CJ, Hasunuma T, Kondo A Abstract Metabolomics is a powerful tool to rationally guide the metabolic engineering of synthetic bioproduction pathways. Current reports indicate great potential to further develop metabolomics-directed synthetic bioproduction. Advanced mass metabolomics methods including isotope flux analysis, untargeted metabolomics, and system-wide approaches are assisting the characterization of metabolic pathways and enabling the biosynthesis of more complex products. More importantly, a design, build, test, and learn (DBTL) cycle is accelerating synthetic biology research and is highly compatible with metabolomics data to further expand bioproduction capability. However, learning processes are currently the weakest link in this workflow. Therefore, guidelines for the development of metabolic learning processes are proposed based on bioproduction examples. Linking dynamic mass spectrometry (MS) methodologies together with automated learning workflows is encouraged. PMID: 31473013 [PubMed - as supplied by publisher]
Source: Trends in Biotechnology - Category: Biotechnology Authors: Tags: Trends Biotechnol Source Type: research