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Adaptive laboratory evolution of native methanol assimilation in Saccharomyces cerevisiae.


ABSTRACT: Utilising one-carbon substrates such as carbon dioxide, methane, and methanol is vital to address the current climate crisis. Methylotrophic metabolism enables growth and energy generation from methanol, providing an alternative to sugar fermentation. Saccharomyces cerevisiae is an important industrial microorganism for which growth on one-carbon substrates would be relevant. However, its ability to metabolize methanol has been poorly characterised. Here, using adaptive laboratory evolution and 13C-tracer analysis, we discover that S. cerevisiae has a native capacity for methylotrophy. A systems biology approach reveals that global rearrangements in central carbon metabolism fluxes, gene expression changes, and a truncation of the uncharacterized transcriptional regulator Ygr067cp supports improved methylotrophy in laboratory evolved S. cerevisiae. This research paves the way for further biotechnological development and fundamental understanding of methylotrophy in the preeminent eukaryotic model organism and industrial workhorse, S. cerevisiae.

SUBMITTER: Espinosa MI 

PROVIDER: S-EPMC7643182 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Adaptive laboratory evolution of native methanol assimilation in Saccharomyces cerevisiae.

Espinosa Monica I MI   Gonzalez-Garcia Ricardo A RA   Valgepea Kaspar K   Plan Manuel R MR   Scott Colin C   Pretorius Isak S IS   Marcellin Esteban E   Paulsen Ian T IT   Williams Thomas C TC  

Nature communications 20201104 1


Utilising one-carbon substrates such as carbon dioxide, methane, and methanol is vital to address the current climate crisis. Methylotrophic metabolism enables growth and energy generation from methanol, providing an alternative to sugar fermentation. Saccharomyces cerevisiae is an important industrial microorganism for which growth on one-carbon substrates would be relevant. However, its ability to metabolize methanol has been poorly characterised. Here, using adaptive laboratory evolution and  ...[more]

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