High-throughput yeast engineering in biofoundries: towards autonomous and scalable synthetic biology.

ABSTRACT: High-throughput yeast engineering is being transformed by biofoundries that integrate automation, artificial intelligence (AI), and standardized workflows. This review examines how these facilities accelerate strain development through the Design-Build-Test-Learn (DBTL) cycle, with advances in genome editing, phenotypic screening, and predictive modelling. It highlights Australia's involvement through the Australian Genome Foundry, Idea-BIO, and the CSIRO Biofoundiry and explores global efforts to overcome reproducibility and standardization challenges. Despite progress, key barriers remain, including protocol variability and integration of AI tools. We also highlight the opportunity for a shift toward autonomous, self-optimizing 'self-driving labs' that transition from DBTL to Design-Buil

SUBMITTER: Martinez JPO 

PROVIDER: S-EPMC12927428 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature