Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes.

ABSTRACT: Adaptive Laboratory Evolution (ALE) of microorganisms can improve the efficiency of sustainable industrial processes important to the global economy. However, stochasticity and genetic background effects often lead to suboptimal outcomes during laboratory evolution. Here we report an ALE platform to circumvent these shortcomings through parallelized clonal evolution at an unprecedented scale. Using this platform, we evolved 10⁴ yeast populations in parallel from many strains for eight desired wine fermentation-related traits. Expansions of both ALE replicates and lineage numbers broadened the evolutionary search spectrum leading to improved wine yeasts unencumbered by unwanted side effects. At the genomic level, evolutionary gains in metabolic characteristics often coincided wit

SUBMITTER: Ghiaci P 

PROVIDER: S-EPMC11450223 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature