酵母
拉伤
计算生物学
合成生物学
代谢工程
生物
遗传学
基因
解剖
作者
M. Astolfi,Sam Yoder,Marina Delfa-Lalaguna,Peter H. Winegar,S. E. Holm,Mengziang Lei,Xixi Zhao,Stephen Tan,Raymond J. Louie,Nathan J. Hillson,Graham A. Hudson,Jay D. Keasling
标识
DOI:10.1021/acssynbio.5c00554
摘要
Automation accelerates the Design-Build-Test-Learn (DBTL) cycle for synthetic biology; however, most strain construction pipelines lack robotic integration. Here, we present the workflow design and source code for a modular, integrated protocol that automates the Build step in Saccharomyces cerevisiae. We programmed the Hamilton Microlab VANTAGE to integrate off-deck hardware via its central robotic arm, enabling automated steps that increased throughput to 2,000 transformations per week. We developed a user interface with the Hamilton VENUS software to support on-demand parameter customization. As a proof of concept, we screened a gene library in an engineered yeast strain producing verazine, a key intermediate in the biosynthesis of steroidal alkaloids. Our pipeline rapidly identified pathway bottlenecks and genes that enhanced verazine production by 2.0- to 5-fold. This technical note provides resources for synthetic biologists designing yeast workflows for biofoundries to screen libraries for pathway discovery/optimization, combinatorial biosynthesis, and protein engineering.
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