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dc.contributor.authorSmith, Brittny R.
dc.contributor.authorMacdonald, Stuart J.
dc.date.accessioned2022-09-13T18:10:54Z
dc.date.available2022-09-13T18:10:54Z
dc.date.issued2020-03-11
dc.identifier.citationR. Smith, B.; J. Macdonald, S. Dissecting the Genetic Basis of Variation in Drosophila Sleep Using a Multiparental QTL Mapping Resource. Genes 2020, 11, 294. https://doi.org/10.3390/genes11030294en_US
dc.identifier.urihttp://hdl.handle.net/1808/33462
dc.description.abstractThere is considerable variation in sleep duration, timing and quality in human populations, and sleep dysregulation has been implicated as a risk factor for a range of health problems. Human sleep traits are known to be regulated by genetic factors, but also by an array of environmental and social factors. These uncontrolled, non-genetic effects complicate powerful identification of the loci contributing to sleep directly in humans. The model system, Drosophila melanogaster, exhibits a behavior that shows the hallmarks of mammalian sleep, and here we use a multitiered approach, encompassing high-resolution QTL mapping, expression QTL data, and functional validation with RNAi to investigate the genetic basis of sleep under highly controlled environmental conditions. We measured a battery of sleep phenotypes in >750 genotypes derived from a multiparental mapping panel and identified several, modest-effect QTL contributing to natural variation for sleep. Merging sleep QTL data with a large head transcriptome eQTL mapping dataset from the same population allowed us to refine the list of plausible candidate causative sleep loci. This set includes genes with previously characterized effects on sleep and circadian rhythms, in addition to novel candidates. Finally, we employed adult, nervous system-specific RNAi on the Dopa decarboxylase, dyschronic, and timeless genes, finding significant effects on sleep phenotypes for all three. The genes we resolve are strong candidates to harbor causative, regulatory variation contributing to sleep.en_US
dc.publisherMDPIen_US
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectSleepen_US
dc.subjectActivityen_US
dc.subjectDrosophilaen_US
dc.subjectDSPRen_US
dc.subjectMPPen_US
dc.subjectQTLen_US
dc.subjectExpression QTLen_US
dc.titleDissecting the Genetic Basis of Variation in Drosophila Sleep Using a Multiparental QTL Mapping Resourceen_US
dc.typeArticleen_US
kusw.kuauthorSmith, Brittny R.
kusw.kuauthorMacdonald, Stuart J.
kusw.kudepartmentMolecular Biosciencesen_US
kusw.kudepartmentCenter for Computational Biologyen_US
kusw.kudepartmentHiguchi Biosciences Centeren_US
kusw.oanotesPer Sherpa Romeo 09/13/2022:

Genes [Open panel below]Publication Information TitleGenes [English] ISSNsElectronic: 2073-4425 URLhttps://www.mdpi.com/journal/genes PublishersMDPI [Commercial Publisher] DOAJ Listinghttps://doaj.org/toc/2073-4425 Requires APCYes [Data provided by DOAJ] [Open panel below]Publisher Policy Open Access pathways permitted by this journal's policy are listed below by article version. Click on a pathway for a more detailed view.

Published Version NoneCC BYPMC Any Repository, Journal Website, +1 OA PublishingThis pathway includes Open Access publishing EmbargoNo Embargo LicenceCC BY 4.0 Copyright OwnerAuthors Publisher DepositPubMed Central Location Any Repository Named Repository (PubMed Central) Journal Website ConditionsPublished source must be acknowledged with citation NotesAuthors are encouraged to submit their published articles to institutional repositories
en_US
dc.identifier.doi10.3390/genes11030294en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
kusw.proidID216394991616en_US
dc.rights.accessrightsopenAccessen_US


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.