[{"_id":"12339","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"3981F020-F248-11E8-B48F-1D18A9856A87","last_name":"Tomanek","orcid":"0000-0001-6197-363X","full_name":"Tomanek, Isabella","first_name":"Isabella"},{"id":"47F8433E-F248-11E8-B48F-1D18A9856A87","last_name":"Guet","orcid":"0000-0001-6220-2052","first_name":"Calin C","full_name":"Guet, Calin C"}],"citation":{"ista":"Tomanek I, Guet CC. 2022. Flow cytometry YFP and CFP data and deep sequencing data of populations evolving in galactose, Dryad, <a href=\"https://doi.org/10.5061/dryad.rfj6q57ds\">10.5061/dryad.rfj6q57ds</a>.","ama":"Tomanek I, Guet CC. Flow cytometry YFP and CFP data and deep sequencing data of populations evolving in galactose. 2022. doi:<a href=\"https://doi.org/10.5061/dryad.rfj6q57ds\">10.5061/dryad.rfj6q57ds</a>","short":"I. Tomanek, C.C. Guet, (2022).","chicago":"Tomanek, Isabella, and Calin C Guet. “Flow Cytometry YFP and CFP Data and Deep Sequencing Data of Populations Evolving in Galactose.” Dryad, 2022. <a href=\"https://doi.org/10.5061/dryad.rfj6q57ds\">https://doi.org/10.5061/dryad.rfj6q57ds</a>.","apa":"Tomanek, I., &#38; Guet, C. C. (2022). Flow cytometry YFP and CFP data and deep sequencing data of populations evolving in galactose. Dryad. <a href=\"https://doi.org/10.5061/dryad.rfj6q57ds\">https://doi.org/10.5061/dryad.rfj6q57ds</a>","ieee":"I. Tomanek and C. C. Guet, “Flow cytometry YFP and CFP data and deep sequencing data of populations evolving in galactose.” Dryad, 2022.","mla":"Tomanek, Isabella, and Calin C. Guet. <i>Flow Cytometry YFP and CFP Data and Deep Sequencing Data of Populations Evolving in Galactose</i>. Dryad, 2022, doi:<a href=\"https://doi.org/10.5061/dryad.rfj6q57ds\">10.5061/dryad.rfj6q57ds</a>."},"related_material":{"record":[{"id":"12333","relation":"used_in_publication","status":"public"}]},"type":"research_data_reference","year":"2022","corr_author":"1","status":"public","ddc":["570"],"month":"12","date_created":"2023-01-23T09:00:37Z","publisher":"Dryad","title":"Flow cytometry YFP and CFP data and deep sequencing data of populations evolving in galactose","article_processing_charge":"No","abstract":[{"text":"Copy-number and point mutations form the basis for most evolutionary novelty through the process of gene duplication and divergence. While a plethora of genomic sequence data reveals the long-term fate of diverging coding sequences and their cis-regulatory elements, little is known about the early dynamics around the duplication event itself. In microorganisms, selection for increased gene expression often drives the expansion of gene copy-number mutations, which serves as a crude adaptation, prior to divergence through refining point mutations. Using a simple synthetic genetic system that allows us to distinguish copy-number and point mutations, we study their early and transient adaptive dynamics in real-time in Escherichia coli. We find two qualitatively different routes of adaptation depending on the level of functional improvement selected for: In conditions of high gene expression demand, the two types of mutations occur as a combination. Under low gene expression demand, negative epistasis between the two types of mutations renders them mutually exclusive. Thus, owing to their higher frequency, adaptation is dominated by copy-number mutations. Ultimately, due to high rates of reversal and pleiotropic cost, copy-number mutations may not only serve as a crude and transient adaptation but also constrain sequence divergence over evolutionary time scales.","lang":"eng"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.5061/dryad.rfj6q57ds"}],"day":"23","department":[{"_id":"CaGu"}],"date_published":"2022-12-23T00:00:00Z","oa_version":"Published Version","oa":1,"date_updated":"2025-03-06T14:03:50Z","doi":"10.5061/dryad.rfj6q57ds"}]