Abstract
Corynebacterium glutamicum strain development has adopted each metabolic engineering tool immediately upon its conception and has contributed to develo** these tools further. In the last more than five decades, C. glutamicum strains have been selected and screened after undirected mutagenesis. This approach yielded industrially relevant strains, however, it was limited by the little insight that could be gained hampering transfer to related processes. Genetic engineering, the complete genome sequence and omics tools, systems biology and synthetic biology have closed this gap and provided a profound knowledge base to develop engineering strategies driven by metabolic insight. Quite recently, serendipitous untargeted approaches came into focus again since mutants selected classically e.g. using genetically encoded biosensors or by adaptive laboratory evolution could be understood when genome resequencing was combined with genetic and biochemical experiments. We will discuss metabolic engineering from the classical, genetic engineering, systems biology eras to the era of synthetic biology for C. glutamicum strain development and forecast the impact of the most recent methods such as CRISPR technology and adaptive laboratory evolution.
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Acknowledgements
Both authors are particularly grateful to funding by the German-Korean MOBKOR program jointly funded by the National Research Foundation of Korea (NRF-2016K1A3A1A04940618) and the German Federal Ministry of Education and Research. VFW acknowledges funding by the EU and the state Nordrhein-Westfalen in the ERDF.NRW project “CKB-CLIB Kompetenzcluster Biotechnologie”, and by ERACoBiotech and FNR-BMELV in the project INDIE. JH LEE acknowledges funding by Basic Science Research Program through the National Research Foundation of Korea (NRF-2018R1D1A1B07047207) and the BB21+ Project in 2018.
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Wendisch, V.F., Lee, JH. (2020). Metabolic Engineering in Corynebacterium glutamicum . In: Inui, M., Toyoda, K. (eds) Corynebacterium glutamicum. Microbiology Monographs, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-030-39267-3_10
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