Genotype Influences Day-to-Day Variability in Sleep in Drosophila melanogaster

Wu, Kai; Kumar, Shailesh; Negron, Yazmin L. Serrano; Harbison, Susan T

doi:10.1093/sleep/zsx205

Cited by 15 publications

(17 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, when we examined daily fluctuations in sleep using the standard deviation of each sleep trait (σ) to represent intra-individual differences ( Knutson et al 2007 ; Mezick et al 2009 ; Buman et al 2011 ; Angulo-Barroso et al 2013 ; Dillon et al 2014 ), we found that night and 24-hour sleep σ and night bout number σ were increased in lines derived from short-sleeping populations, and reduced in lines derived from the long-sleeping populations ( P = 0.0398, 0.0428, and 0.0312, respectively, 3-way ANOVA) (Tables S1, S7, and S8). Short sleepers, therefore, have more daily fluctuations in sleep than long sleepers, and their sleep also tends to differ from individual to individual ( Harbison et al 2013 ; Wu et al 2018 ). We speculate that the short sleepers may have greater sensitivity to small environmental fluctuations, and that this may result in more variable sleep.…”

Section: Resultsmentioning

confidence: 99%

“…Genomic studies of wild-derived populations of flies have identified thousands of polymorphisms that affect morphological, physiological, and behavioral complex traits ( Ayroles et al 2009 ; Jordan et al 2012 ; Mackay et al 2012 ; Weber et al 2012 ; Chow et al 2013 ; Harbison et al 2013 ; Ellis et al 2014 ; Vaisnav et al 2014 ; Arya et al 2015 ; Ayroles et al 2015 ; Dembeck et al 2015a ; Dembeck et al 2015b ; Gaertner et al 2015 ; Garlapow et al 2015 ; Ivanov et al 2015 ; Montgomery et al 2015 ; Morgante et al 2015 ; Morozova et al 2015 ; Shorter et al 2015 ; Unckless et al 2015 ; Zwarts et al 2015 ; Chow et al 2016 ; He et al 2016 ; Hunter et al 2016 ; Vonesch et al 2016 ; Harbison et al 2017 ; Lobell et al 2017 ; Wu et al 2018 ). A challenging next step is to demonstrate how the polymorphisms associated with a trait influence phenotype ( Mackay et al 2009 ; Albert and Kruglyak 2015 ).…”

mentioning

confidence: 99%

See 1 more Smart Citation

The Sleep Inbred Panel, a Collection of Inbred Drosophila melanogaster with Extreme Long and Short Sleep Duration

Negron

Hansen

Harbison

2018

G3 Genes|Genomes|Genetics

Self Cite

View full text Add to dashboard Cite

Understanding how genomic variation causes differences in observable phenotypes remains a major challenge in biology. It is difficult to trace the sequence of events originating from genomic variants to changes in transcriptional responses or protein modifications. Ideally, one would conduct experiments with individuals that are at either extreme of the trait of interest, but such resources are often not available. Further, advances in genome editing will enable testing of candidate polymorphisms individually and in combination. Here we have created a resource for the study of sleep with 39 inbred lines of Drosophila—the Sleep Inbred Panel (SIP). SIP lines have stable long- and short-sleeping phenotypes developed from naturally occurring polymorphisms. These lines are fully sequenced, enabling more accurate targeting for genome editing and transgenic constructs. This panel facilitates the study of intermediate transcriptional and proteomic correlates of sleep, and supports genome editing studies to verify polymorphisms associated with sleep duration.

show abstract

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

The Sleep Inbred Panel, a Collection of Inbred Drosophila melanogaster with Extreme Long and Short Sleep Duration

Negron

Hansen

Harbison

2018

G3 Genes|Genomes|Genetics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sleep is regulated by complex genetic architecture and is highly influenced by genetic variation (Cirelli, ; Wu, Kumar, Serrano Negron, & Harbison, ). While many genes have been identified using mutagenesis approaches, much less is known about the modulation of sleep via naturally occurring genetic variation.…”

Section: Discussionmentioning

confidence: 99%

“…There is a significant correlation between starvation resistance and (g) triglyceride and (h) glycogen levels, while there is no correlation between starvation resistance and (i) free glucose levels. For measurements of nutrient stores for all localities, see Appendix S4 Sleep is regulated by complex genetic architecture and is highly influenced by genetic variation (Cirelli, 2009;Wu, Kumar, Serrano Negron, & Harbison, 2017). While many genes have been identified using mutagenesis approaches, much less is known about the modulation of sleep via naturally occurring genetic variation.…”

Section: Discussionmentioning

confidence: 99%

Variation in sleep and metabolic function is associated with latitude and average temperature in Drosophila melanogaster

Brown

Torres

Bennick

et al. 2018

Ecology and Evolution

View full text Add to dashboard Cite

Regulation of sleep and metabolic homeostasis is critical to an animal's survival and under stringent evolutionary pressure. Animals display remarkable diversity in sleep and metabolic phenotypes; however, an understanding of the ecological forces that select for, and maintain, these phenotypic differences remains poorly understood. The fruit fly, Drosophila melanogaster, is a powerful model for investigating the genetic regulation of sleep and metabolic function, and screening in inbred fly lines has led to the identification of novel genetic regulators of sleep. Nevertheless, little is known about the contributions of naturally occurring genetic differences to sleep, metabolic phenotypes, and their relationship with geographic or environmental gradients. Here, we quantified sleep and metabolic phenotypes in 24 D. melanogaster populations collected from diverse geographic localities. These studies reveal remarkable variation in sleep, starvation resistance, and energy stores. We found that increased sleep duration is associated with proximity to the equator and elevated average annual temperature, suggesting that environmental gradients strongly influence natural variation in sleep. Further, we found variation in metabolic regulation of sleep to be associated with free glucose levels, while starvation resistance associates with glycogen and triglyceride stores. Taken together, these findings reveal robust naturally occurring variation in sleep and metabolic traits in D. melanogaster, providing a model to investigate how evolutionary and ecological history modulate these complex traits.

show abstract

“…Although fly GWAS retain most of the advantages and disadvantages already discussed for human and rodent GWAS, they alleviate some problems by reducing environmental confounds and permitting quantification of phenotypic variability between individuals. Vast numbers of isogenic flies allow effective mapping of this variability to the genome, unlike in humans, where isogenic sample size is limited to sets of twins [209,210]. Further, linkage disequilibrium diminishes rapidly in flies compared to mammals, increasing the chances that SNPs associated with AUDs represent causal, rather than merely linked, variants [129,211].…”

Section: Fly Gwas and Qtl Analysesmentioning

confidence: 99%

Flying Together: Drosophila as a Tool to Understand the Genetics of Human Alcoholism

Lathen

Merrill

Rothenfluh

2020

IJMS

View full text Add to dashboard Cite

Alcohol use disorder (AUD) exacts an immense toll on individuals, families, and society. Genetic factors determine up to 60% of an individual’s risk of developing problematic alcohol habits. Effective AUD prevention and treatment requires knowledge of the genes that predispose people to alcoholism, play a role in alcohol responses, and/or contribute to the development of addiction. As a highly tractable and translatable genetic and behavioral model organism, Drosophila melanogaster has proven valuable to uncover important genes and mechanistic pathways that have obvious orthologs in humans and that help explain the complexities of addiction. Vinegar flies exhibit remarkably strong face and mechanistic validity as a model for AUDs, permitting many advancements in the quest to understand human genetic involvement in this disease. These advancements occur via approaches that essentially fall into one of two categories: (1) discovering candidate genes via human genome-wide association studies (GWAS), transcriptomics on post-mortem tissue from AUD patients, or relevant physiological connections, then using reverse genetics in flies to validate candidate genes’ roles and investigate their molecular function in the context of alcohol. (2) Utilizing flies to discover candidate genes through unbiased screens, GWAS, quantitative trait locus analyses, transcriptomics, or single-gene studies, then validating their translational role in human genetic surveys. In this review, we highlight the utility of Drosophila as a model for alcoholism by surveying recent advances in our understanding of human AUDs that resulted from these various approaches. We summarize the genes that are conserved in alcohol-related function between humans and flies. We also provide insight into some advantages and limitations of these approaches. Overall, this review demonstrates how Drosophila have and can be used to answer important genetic questions about alcohol addiction.

show abstract

Genotype Influences Day-to-Day Variability in Sleep in Drosophila melanogaster

Cited by 15 publications

References 94 publications

The Sleep Inbred Panel, a Collection of Inbred Drosophila melanogaster with Extreme Long and Short Sleep Duration

The Sleep Inbred Panel, a Collection of Inbred Drosophila melanogaster with Extreme Long and Short Sleep Duration

Variation in sleep and metabolic function is associated with latitude and average temperature in Drosophila melanogaster

Flying Together: Drosophila as a Tool to Understand the Genetics of Human Alcoholism

Contact Info

Product

Resources

About