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.
Authors
- Jay D. Keasling (ORCID: https://orcid.org/0000-0003-4170-6088)
- Paul D. Adams (ORCID: https://orcid.org/0000-0001-9333-8219)
- Graham A. Hudson (ORCID: https://orcid.org/0000-0002-3715-4279)
- M. Astolfi (ORCID: https://orcid.org/0000-0001-6995-2497)
- Raymond J. Louie (ORCID: https://orcid.org/0000-0002-6788-1151)
- Nathan J. Hillson (ORCID: https://orcid.org/0000-0002-9169-3978)
- Xixi Zhao (ORCID: https://orcid.org/0000-0002-6973-1923)
- Sam Yoder
- Peter H. Winegar (ORCID: https://orcid.org/0000-0003-0984-4990)
- Mengziang Lei
- S. E. Holm
- Marina Delfa-Lalaguna
Institutions
- 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)
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