Robotic workflows for automated long-term adaptive laboratory evolution: improving ethanol utilization by Corynebacterium glutamicum.

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作者： Lars,Halle ^[1] ; Niels,Hollmann ^[2] ; Niklas,Tenhaef ^[1] ; Lea,Mbengi ^[1] ; Christiane,Glitz ^[1] ; Wolfgang,Wiechert ^[1] ; Tino,Polen ^[1] ; Meike,Baumgart ^[2] ; Michael,Bott ^[1] ; Stephan,Noack ^[2]

作者单位： Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany. ^[1] Bioeconomy Science Center (BioSC), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany. ^[2] Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany. s.noack@fz-juelich.de. ^[3] Bioeconomy Science Center (BioSC), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany. s.noack@fz-juelich.de. ^[4]

关键词 Acetaldehyde dehydrogenase Adaptive laboratory evolution Corynebacterium glutamicum Ethanol utilization GlxR Untargeted strain optimization

主题词谷氨酸棒状杆菌(Corynebacterium glutamicum);工作流(Workflow);乙酰辅酶A(Acetyl Coenzyme A);乙醇(Ethanol)

DOI 10.1186/s12934-023-02180-5

PMID 37679814

发布时间 2023-11-21

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