Improving biobutanol production in engineered Saccharomyces cerevisiae by manipulation of acetyl-CoA metabolism
Artikel i vetenskaplig tidskrift, 2013

Recently, butanols (1-butanol, 2-butanol and iso-butanol) have generated attention as alternative gasoline additives. Butanols have several properties favorable in comparison to ethanol, and strong interest therefore exists in the reconstruction of the 1-butanol pathway in commonly used industrial microorganisms. In the present study, the biosynthetic pathway for 1-butanol production was reconstructed in the yeast Saccharomyces cerevisiae. In addition to introducing heterologous enzymes for butanol production, we engineered yeast to have increased flux toward cytosolic acetyl-CoA, the precursor metabolite for 1-butanol biosynthesis. This was done through introduction of a plasmid-containing genes for alcohol dehydrogenase (ADH2), acetaldehyde dehydrogenase (ALD6), acetyl-CoA synthetase (ACS), and acetyl-CoA acetyltransferase (ERG10), as well as the use of strains containing deletions in the malate synthase (MLS1) or citrate synthase (CIT2) genes. Our results show a trend to increased butanol production in strains engineered for increased cytosolic acetyl-CoA levels, with the best-producing strains having maximal butanol titers of 16.3 mg/l. This represents a 6.5-fold improvement in butanol titers compared to previous values reported for yeast and demonstrates the importance of an improved cytosolic acetyl-CoA supply for heterologous butanol production by this organism.

Metabolic engineering


Acetyl-coenzyme A

Saccharomyces cerevisiae

Synthetic biology



Anastasia Krivoruchko

Chalmers, Kemi- och bioteknik, Livsvetenskaper

Cristina Serrano-Amatriain

Chalmers, Kemi- och bioteknik, Livsvetenskaper

Yun Chen

Chalmers, Kemi- och bioteknik, Livsvetenskaper

Verena Siewers

Chalmers, Kemi- och bioteknik, Livsvetenskaper

Jens B Nielsen

Chalmers, Kemi- och bioteknik, Livsvetenskaper

Journal of Industrial Microbiology and Biotechnology

1367-5435 (ISSN) 1476-5535 (eISSN)

Vol. 40 9 1051-1056


Bioinformatik och systembiologi



Mer information