Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER
dc.citation.firstpage | 614 | |
dc.citation.journalTitle | Nature Biotechnology | |
dc.citation.lastpage | 623 | |
dc.citation.volumeNumber | 36 | |
dc.contributor.author | Wong, Brandon G. | |
dc.contributor.author | Mancuso, Christopher P. | |
dc.contributor.author | Kiriakov, Szilvia | |
dc.contributor.author | Bashor, Caleb J. | |
dc.contributor.author | Khalil, Ahmad S. | |
dc.date.accessioned | 2019-11-22T16:19:58Z | |
dc.date.available | 2019-11-22T16:19:58Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Precise 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. | |
dc.identifier.citation | Wong, 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. | |
dc.identifier.digital | nihms959881 | |
dc.identifier.doi | https://doi.org/10.1038/nbt.4151 | |
dc.identifier.uri | https://hdl.handle.net/1911/107725 | |
dc.language.iso | eng | |
dc.publisher | Springer Nature | |
dc.rights | This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Springer Nature | |
dc.title | Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER | |
dc.type | Journal article | |
dc.type.dcmi | Text | |
dc.type.publication | post-print |
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