dc.contributor.author | Smith, Brittny R. | |
dc.contributor.author | Macdonald, Stuart J. | |
dc.date.accessioned | 2020-06-18T18:49:59Z | |
dc.date.available | 2020-06-18T18:49:59Z | |
dc.date.issued | 2020-03-11 | |
dc.identifier.citation | Smith, B. R., & Macdonald, S. J. (2020). Dissecting the Genetic Basis of Variation in Drosophila Sleep Using a Multiparental QTL Mapping Resource. Genes, 11(3), 294. https://doi.org/10.3390/genes11030294 | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/30545 | |
dc.description | This work is licensed under a Creative Commons Attribution 4.0 International License. | en_US |
dc.description.abstract | There 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.rights | © 2020 by the authors. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | Sleep | en_US |
dc.subject | Activity | en_US |
dc.subject | Drosophila | en_US |
dc.subject | DSPR | en_US |
dc.subject | MPP | en_US |
dc.subject | QTL | en_US |
dc.subject | Expression QTL | en_US |
dc.title | Dissecting the Genetic Basis of Variation in Drosophila Sleep Using a Multiparental QTL Mapping Resource | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Smith, Brittny R. | |
kusw.kuauthor | Macdonald, Stuart J. | |
kusw.kudepartment | Molecular Biosciences | en_US |
kusw.kudepartment | Center for Computational Biology | en_US |
kusw.oanotes | Per SHERPA/RoMEO 6/17/2020:
Journal: Genes [1] (ISSN: 2073-4425, ESSN: 2073-4425)
RoMEO: This is a RoMEO green journal
Listed in: DOAJ as an open access journal
Author's Pre-print: green tick author can archive pre-print (ie pre-refereeing)
Author's Post-print: green tick author can archive post-print (ie final draft post-refereeing)
Publisher's Version/PDF: green tick author can archive publisher's version/PDF
General Conditions:
On open access repositories
Publisher's version/PDF may be used
Published source must be acknowledged
Creative Commons Attribution License 4.0
Authors retain copyright
Authors are encouraged to submit their published articles to institutional repositories | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.identifier.pmid | MDPI | en_US |
dc.identifier.pmid | PMC7140804 | |
dc.rights.accessrights | openAccess | en_US |