期刊
COMMUNICATIONS BIOLOGY
卷 5, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s42003-022-04336-2
关键词
-
资金
- U.S. Department of Energy, Office of Science, Office of Biological, and Environmental Research
- U.S. Department of Energy, Energy Efficiency and Renewable Energy, Bioenergy Technologies Office [DE-AC0205CH11231]
- National Science Foundation Graduate Research Fellowship
- Amgen Scholars program
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy within the Cluster of Excellence [FSC 2186]
Researchers have successfully engineered P. putida to produce medium- and long-chain free fatty acids (FFAs) using functional genomics. They also developed a strategy to control the chain length of FFAs, resulting in a strain specialized in producing medium-chain FFAs. Furthermore, these strains were able to synthesize medium-chain fatty acid methyl esters, which have potential application as biodiesel blending agents.
Despite advances in understanding the metabolism of Pseudomonas putida KT2440, a promising bacterial host for producing valuable chemicals from plant-derived feedstocks, a strain capable of producing free fatty acid-derived chemicals has not been developed. Guided by functional genomics, we engineered P. putida to produce medium- and long-chain free fatty acids (FFAs) to titers of up to 670mg/L. Additionally, by taking advantage of the varying substrate preferences of paralogous native fatty acyl-CoA ligases, we employed a strategy to control FFA chain length that resulted in a P. putida strain specialized in producing medium-chain FFAs. Finally, we demonstrate the production of oleochemicals in these strains by synthesizing medium-chain fatty acid methyl esters, compounds useful as biodiesel blending agents, in various media including sorghum hydrolysate at titers greater than 300mg/L. This work paves the road to produce high-value oleochemicals and biofuels from cheap feedstocks, such as plant biomass, using this host.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据