Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER

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dc.citation.firstpage614en_US
dc.citation.journalTitleNature Biotechnologyen_US
dc.citation.lastpage623en_US
dc.citation.volumeNumber36en_US
dc.contributor.authorWong, Brandon G.en_US
dc.contributor.authorMancuso, Christopher P.en_US
dc.contributor.authorKiriakov, Szilviaen_US
dc.contributor.authorBashor, Caleb J.en_US
dc.contributor.authorKhalil, Ahmad S.en_US
dc.date.accessioned2019-11-22T16:19:58Zen_US
dc.date.available2019-11-22T16:19:58Zen_US
dc.date.issued2018en_US
dc.description.abstractPrecise 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.en_US
dc.identifier.citationWong, 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.en_US
dc.identifier.digitalnihms959881en_US
dc.identifier.doihttps://doi.org/10.1038/nbt.4151en_US
dc.identifier.urihttps://hdl.handle.net/1911/107725en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Springer Natureen_US
dc.titlePrecise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVERen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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