Circadian and rhythmic-related behavioral co-morbidities of the diabetic state in Drosophila melanogaster

Álvarez-Rendón, Jéssica Paloma; Riesgo-Escovar, Juan R.

doi:10.1016/j.ygcen.2020.113477

Cited by 8 publications

(2 citation statements)

References 45 publications

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“…We observed changes in night sleep duration for all Minos insertions tested, and the effects were more prominent in females. Sex-specific effects of mutations on sleep are common in flies ( Williams et al, 2007; Harbison et al, 2009; De Luca et al, 2010; Afonso et al, 2015; Glover et al, 2019; Álvarez-Rendón and Riesgo-Escovar, 2020 ), and sex-biased effects are often noted in females ( Bushey et al, 2007, 2009; Luo et al, 2012; Juneau et al, 2019; Huang et al, 2021 ). Remarkably, we noted gene expression relationships among genes with predicted significant Gaussian Process correlations in the Minos insertion lines despite the fact that the sleep was neither extremely long or short in mutants or controls, and the genetic background of these lines ( w 1118 or y 1 w 67c23 ) is completely different from the outbred Sleep Advanced Intercross Population that we used for artificial selection.…”

Section: Discussionmentioning

confidence: 99%

Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration

Souto-Maior

Negron

Harbison

2021

Preprint

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All but the simplest phenotypes are believed to result from interactions between two or more genes forming complex networks of gene regulation. Sleep is a complex trait known to depend on the system of feedback loops of the circadian clock, and on many other genes; however, the main components regulating the phenotype and how they interact remain an unsolved puzzle. Genomic and transcriptomic data may well provide part of the answer, but a full account requires a suitable quantitative framework. Here we conducted an artificial selection experiment for sleep duration with RNA-seq data acquired each generation. The phenotypic results are robust across replicates and previous experiments, and the transcription data provides a high-resolution, time-course data set for the evolution of sleep-related gene expression. In addition to a Hierarchical Generalized Linear Model analysis of differential expression that accounts for experimental replicates we develop a flexible Gaussian Process model that estimates interactions between genes. 145 gene pairs are found to have interactions that are different from controls. Our method not only is considerably more specific than standard correlation metrics but also more sensitive, finding correlations not significant by other methods. Statistical predictions were compared to experimental data from public databases on gene interactions.

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Section: Discussionmentioning

confidence: 99%

Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration

Souto-Maior

Negron

Harbison

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…We observed changes in night sleep duration for all Minos insertions tested, and the effects were more prominent in females. Sex-specific effects of mutations on sleep are common in flies [84,[104][105][106][107][108], and sex-biased effects are often noted in females [109][110][111][112][113]. Remarkably, we noted gene expression relationships among genes with predicted significant Gaussian Process correlations in the Minos insertion lines despite the fact that the sleep was neither extremely long or short in mutants or controls, and the genetic background of these lines (w 1118 or y 1 w 67c23 ) is completely different from the outbred Sleep Advanced Intercross Population that we used for artificial selection.…”

Section: Plos Computational Biologymentioning

confidence: 99%

Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration

2023

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All but the simplest phenotypes are believed to result from interactions between two or more genes forming complex networks of gene regulation. Sleep is a complex trait known to depend on the system of feedback loops of the circadian clock, and on many other genes; however, the main components regulating the phenotype and how they interact remain an unsolved puzzle. Genomic and transcriptomic data may well provide part of the answer, but a full account requires a suitable quantitative framework. Here we conducted an artificial selection experiment for sleep duration with RNA-seq data acquired each generation. The phenotypic results are robust across replicates and previous experiments, and the transcription data provides a high-resolution, time-course data set for the evolution of sleep-related gene expression. In addition to a Hierarchical Generalized Linear Model analysis of differential expression that accounts for experimental replicates we develop a flexible Gaussian Process model that estimates interactions between genes. 145 gene pairs are found to have interactions that are different from controls. Our method appears to be not only more specific than standard correlation metrics but also more sensitive, finding correlations not significant by other methods. Statistical predictions were compared to experimental data from public databases on gene interactions. Mutations of candidate genes implicated by our results affected night sleep, and gene expression profiles largely met predicted gene-gene interactions.

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The Genetics of Sleep in Drosophila

Singh,

Ghosh,

Harbison

2024

Genetics of Sleep and Sleep Disorders

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Circadian and rhythmic-related behavioral co-morbidities of the diabetic state in Drosophila melanogaster

Cited by 8 publications

References 45 publications

Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration

Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration

Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration

The Genetics of Sleep in Drosophila

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