Automated Strain Construction for Biosynthetic Pathway Screening in Yeast

  • Maria C.T. Astolfi
  • , Sam D. Yoder
  • , Marina Delfa-Lalaguna
  • , Peter H. Winegar
  • , Sara K.F. Holm
  • , Mengziang Lei
  • , Xixi Zhao
  • , Stephen E. Tan
  • , Randy Louie
  • , Nathan J. Hillson
  • , Graham A. Hudson*
  • , Jay D. Keasling*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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 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.

Original languageEnglish
JournalACS Synthetic Biology
Volume14
Issue number10
Pages (from-to)4143-4151
ISSN2161-5063
DOIs
Publication statusPublished - 2025

Keywords

  • Automation
  • High-throughput screen
  • Metabolic Engineering
  • Microbial biosynthesis
  • Robotics integration
  • Strain engineering

Fingerprint

Dive into the research topics of 'Automated Strain Construction for Biosynthetic Pathway Screening in Yeast'. Together they form a unique fingerprint.

Cite this