Automated Strain Construction for Biosynthetic Pathway Screening in Yeast

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 <i>Saccharomyces cerevisiae</i>. 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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Publication Details

Journal
ACS Synthetic Biology
Published
2025-10-08
DOI
https://doi.org/10.1021/acssynbio.5c00554
Citations
7
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
5.64
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article

Automated Strain Construction for Biosynthetic Pathway Screening in Yeast

Jay D. Keasling, Paul D. Adams, Graham A. Hudson, M. Astolfi et al.
7 citations
ACS Synthetic Biology
Microbial Metabolic Engineering and Bioproduction
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article

Automated Strain Construction for Biosynthetic Pathway Screening in Yeast

Jay D. Keasling, Paul D. Adams, Graham A. Hudson, M. Astolfi, Raymond J. Louie, Nathan J. Hillson, Xixi Zhao, Sam Yoder, Peter H. Winegar, Mengziang Lei, S. E. Holm, Marina Delfa-Lalaguna
article en
7 citations

Abstract

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 <i>Saccharomyces cerevisiae</i>. 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.

ACS Synthetic BiologyVol. 14(10)
QB3 (US), Universidad Complutense de Madrid (ES), Lawrence Berkeley National Laboratory (US), Novo Nordisk Foundation (DK), Foundation Center (US), Quantitative BioSciences (US), NOAA Chemical Sciences Laboratory (US), Joint BioEnergy Institute (US), University of California, Berkeley (US), Technical University of Denmark (DK)
Openalex Percentile: Top 4%
Microbial Metabolic Engineering and Bioproduction
5.64
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