Metabolic engineering of Saccharomyces cerevisiae for production of very long chain fatty acid-derived chemicals
Artikel i vetenskaplig tidskrift, 2017

Production of chemicals and biofuels through microbial fermentation is an economical and sustainable alternative for traditional chemical synthesis. Here we present the construction of a Saccharomyces cerevisiae platform strain for high-level production of very-long-chain fatty acid (VLCFA)-derived chemicals. Through rewiring the native fatty acid elongation system and implementing a heterologous Mycobacteria FAS I system, we establish an increased biosynthesis of VLCFAs in S. cerevisiae. VLCFAs can be selectively modified towards the fatty alcohol docosanol (C22H46O) by expressing a specific fatty acid reductase. Expression of this enzyme is shown to impair cell growth due to consumption of VLCFA-CoAs. We therefore implement a dynamic control strategy for separating cell growth from docosanol production. We successfully establish high-level and selective docosanol production of 83.5 mg l(-1) in yeast. This approach will provide a universal strategy towards the production of similar high value chemicals in a more scalable, stable and sustainable manner.

biosynthesis

synthase

Science & Technology - Other Topics

pathway

genetic modifications

acetyl-coenzyme

yeast

reductases

jojoba oil

elongation

arabidopsis

Författare

Tao Yu

Chalmers, Biologi och bioteknik, Systembiologi

Yongjin Zhou

Chalmers, Biologi och bioteknik, Systembiologi

Leonie Wenning

Chalmers, Biologi och bioteknik, Systembiologi

Quanli Liu

Chalmers, Biologi och bioteknik, Systembiologi

Anastasia Krivoruchko

Chalmers, Biologi och bioteknik, Systembiologi

Verena Siewers

Chalmers, Biologi och bioteknik, Systembiologi

Jens B Nielsen

Chalmers, Biologi och bioteknik, Systembiologi

Florian David

Chalmers, Biologi och bioteknik, Systembiologi

Nature Communications

2041-1723 (ISSN)

Vol. 8 Article number: 15587- 15587

Infrastruktur

Chalmers infrastruktur för masspektrometri

Styrkeområden

Livsvetenskaper och teknik

Ämneskategorier

Bioinformatik och systembiologi

DOI

10.1038/ncomms15587