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dc.contributor.authorRego-Costa, Artur
dc.contributor.authorNguyen Ba, Alex
dc.contributor.authorCvijović, Ivana
dc.contributor.authorRojas Echenique, José
dc.contributor.authorLawrence, Katherine
dc.contributor.authorLiu, Xianan
dc.contributor.authorLevy, Sasha
dc.contributor.authorDesai, Michael
dc.date.accessioned2019-12-29T14:43:13Z
dc.date.issued2019-11
dc.identifier.citationNguyen Ba, Alex N., Ivana Cvijović, José I. Rojas Echenique, Katherine R. Lawrence, Artur Rego-Costa, Xianan Liu, Sasha F. Levy, and Michael M. Desai. 2019. High-resolution Lineage Tracking Reveals Travelling Wave of Adaptation in Laboratory Yeast. Nature 575, no. 7783: 494-99.en_US
dc.identifier.issn0028-0836en_US
dc.identifier.issn1476-4687en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:42083018*
dc.description.abstractIn rapidly adapting asexual populations, including many microbial pathogens and viruses, numerous mutant lineages often compete simultaneously for dominance within the population. These complex evolutionary dynamics determine the outcomes of adaptation, but have been difficult to observe directly. While earlier studies used whole-genome sequencing to follow molecular adaptation, these methods have very limited frequency resolution in microbial populations. Here, we introduce a novel renewable barcoding system to observe evolutionary dynamics at high resolution in laboratory budding yeast. We find nested patterns of interference and hitchhiking even at low frequencies. These events are driven by the continuous appearance of new mutations that modify the fates of existing lineages before they reach substantial frequencies. We observe how the distribution of fitness within the population changes over time, finding a “traveling wave” of adaptation that has been predicted by theory. We show that the dynamics of clonal competition create a dynamical rich-get-richer effect: fitness advantages acquired early in evolution drive clonal expansions, which increase the chances of acquiring future mutations. However, less-fit lineages also routinely leapfrog over strains of higher fitness. Our results demonstrate that this combination of factors, which is not accounted for in any existing model of evolutionary dynamics, is critical in determining the rate, predictability, and molecular basis of adaptation.en_US
dc.description.sponsorshipOrganismic and Evolutionary Biologyen_US
dc.language.isoen_USen_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.relationNatureen_US
dash.licenseMETA_ONLY
dc.subjectMultidisciplinaryen_US
dc.titleHigh-Resolution Lineage Tracking Reveals Travelling Wave of Adaptation in Laboratory Yeasten_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalNatureen_US
dash.depositing.authorDesai, Michael
dash.waiver2019-08-26
dc.date.available2019-12-29T14:43:13Z
dash.affiliation.otherFaculty of Arts & Sciencesen_US
dash.funder.nameNational Science Foundationen_US
dash.funder.nameNational Institutes of Healthen_US
dash.funder.nameSimons Foundationen_US
dash.funder.awardDMS-1764269en_US
dash.funder.awardHG008354en_US
dash.funder.awardHL127522en_US
dash.funder.award376196en_US
dash.funder.awardDEB-1655960en_US
dash.funder.awardGM104239en_US
dc.identifier.doi10.1038/s41586-019-1749-3
dc.source.journalNature
dash.waiver.reasonRequired by journalen_US
dash.source.volume575;7783
dash.source.page494-499
dash.contributor.affiliatedRego-Costa, Artur
dash.contributor.affiliatedLawrence, Katherine
dash.contributor.affiliatedDesai, Michael


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