期刊
ACS SYNTHETIC BIOLOGY
卷 7, 期 7, 页码 1676-1684出版社
AMER CHEMICAL SOC
DOI: 10.1021/acssynbio.8b00112
关键词
Saccharomyces cerevisiae; ethanol biosynthesis; Design of Experiments (DOE); metabolic engineering; alcohol dehydrogenase
资金
- Shell Biodomain
Multifactorial approaches can quickly and efficiently model complex, interacting natural or engineered biological systems in a way that traditional one factor-at-a-time experimentation can fail to do. We applied a Design of Experiments (DOE) approach to model ethanol biosynthesis in yeast, which is well-understood and genetically tractable, yet complex. Six alcohol dehydrogenase (ADH) isozymes catalyze ethanol synthesis, differing in their transcriptional and post-translational regulation, subcellular localization, and enzyme kinetics. We generated a combinatorial library of all ADH gene deletions and measured the impact of gene deletion(s) and environmental context on ethanol production of a subset of this library. The data were used to build a statistical model that described known behaviors of ADH isozymes and identified novel interactions. Importantly, the model described features of ADH metabolic behavior without explicit a priori knowledge. The method is therefore highly suited to understanding and optimizing metabolic pathways in less well-understood systems.
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