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

Abstract Background Adaptive laboratory evolution (ALE) is known as a powerful tool for untargeted engineering of microbial strains and genomics research. It is particularly well suited for the adaptation of microorganisms to new environmental conditions, such as alternative substrate sources. Since...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Lars Halle, Niels Hollmann, Niklas Tenhaef, Lea Mbengi, Christiane Glitz, Wolfgang Wiechert, Tino Polen, Meike Baumgart, Michael Bott, Stephan Noack
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2023-09-01
Reeks:	Microbial Cell Factories
Onderwerpen:	Adaptive laboratory evolution Untargeted strain optimization Corynebacterium glutamicum Ethanol utilization Acetaldehyde dehydrogenase GlxR
Online toegang:	https://doi.org/10.1186/s12934-023-02180-5
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!