Wong, Brandon G.Mancuso, Christopher P.Kiriakov, SzilviaBashor, Caleb J.Khalil, Ahmad S.2019-11-222019-11-222018Wong, Brandon G., Mancuso, Christopher P., Kiriakov, Szilvia, et al.. "Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER." <i>Nature Biotechnology,</i> 36, (2018) Springer Nature: 614-623. https://doi.org/10.1038/nbt.4151.https://hdl.handle.net/1911/107725Precise control over microbial cell growth conditions could enable detection of minute phenotypic changes, which would improve our understanding of how genotypes are shaped by adaptive selection. Although automated cell-culture systems such as bioreactors offer strict control over liquid culture conditions, they often do not scale to high-throughput or require cumbersome redesign to alter growth conditions. We report the design and validation of eVOLVER, a scalable do-it-yourself (DIY) framework, which can be configured to carry out high-throughput growth experiments in molecular evolution, systems biology, and microbiology. High-throughput evolution of yeast populations grown at different densities reveals that eVOLVER can be applied to characterize adaptive niches. Growth selection on a genome-wide yeast knockout library, using temperatures varied over different timescales, finds strains sensitive to temperature changes or frequency of temperature change. Inspired by large-scale integration of electronics and microfluidics, we also demonstrate millifluidic multiplexing modules that enable multiplexed media routing, cleaning, vial-to-vial transfers and automated yeast mating.engThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Springer NatureJournal articlenihms959881https://doi.org/10.1038/nbt.4151