Biology subjects

Shaw, P. J.

Publications and source records attributed to Shaw, P. J..

25 records · Page 2Linked to original sources

bioRxiv2020

A conserved role for sleep in supporting spatial learning in Drosophila

Sleep loss and aging impair hippocampus-dependent spatial learning in mammalian systems. Here we use the fly Drosophila melanogaster to investigate the relationship between sleep and spatial learning in healthy and impaired flies. The spatial learning assay is modeled after the Morris Water Maze. The assay uses a thermal maze consisting of a 5x5 grid of Peltier plates maintained at 36-37{degrees}C and a visual panorama. The first trial begins when a single tile that is associated with a specific visual cue is cooled to 25{degrees}C. For subsequent trials, the cold tile is heated, the visual panorama is rotated and the flies must find the new cold-tile by remembering its association with the visual cue. Significant learning was observed with two different wild-type strains - Cs and 2U, validating our design. Sleep deprivation prior to training impaired spatial learning. Learning was also impaired in the classic learning mutant rutabaga (rut); enhancing sleep restored learning to rut mutants. Further we found that flies exhibited dramatic age-dependent cognitive decline in spatial learning starting at 20-24 days of age. These impairments could be reversed by enhancing sleep. Finally, we find that spatial learning requires dopaminergic signaling and that enhancing dopaminergic signaling in aged flies restored learning. Our results are consistent with the impairments seen in rodents and humans. These results thus demonstrate a critical conserved role for sleep in supporting spatial learning, and suggest potential avenues for therapeutic intervention during aging. STATEMENT OF SIGNIFICANCEWe have studied the relationship between sleep and plasticity using a Drosophila learning assay modified after the Morris Water Maze. Using this assay, we find that sleep loss impairs spatial learning. As in mammals, flies exhibited age-dependent spatial learning impairments. Importantly, the age-dependent impairments were reversed by enhancing sleep. Interestingly, our results mirror studies on hippocampus dependent memories in rodents and humans. Thus, our data describe an evolutionarily conserved role for sleep in regulating spatial learning. They also support augmenting sleep as a therapeutic strategy to ameliorate learning impairments.

neuroscience↗

bioRxiv2020

Weekend light shifts evoke persistent Drosophila circadian neural network desynchrony

Billions of people subject themselves to phase-shifting light signals on a weekly basis by remaining active later at night and sleeping in later on weekends relative to weekday for up to a 3hr weekend light shift (WLS). Unnatural light signals disrupt circadian rhythms and physiology and behavior. Real-time light responses of mammalian suprachiasmatic nucleus are unmeasurable at single cell resolution. We compared Drosophila whole-circadian circuit responses between unshifted daytime/nighttime schedule and a 3hr WLS schedule at the single-cell resolution in cultured adult Drosophila brains using real-time bioluminescence imaging of the PERIOD protein for 11 days to determine how light shifts alter biological clock entrainment and stability. We find that circadian circuits show highly synchronous oscillations across all major circadian neuronal subgroups in unshifted light schedules. In contrast, circadian circuits exposed to a WLS schedule show significantly dampened oscillator synchrony and rhythmicity in most circadian neurons during, and after exposure. The WLS schedule first desynchronizes lateral ventral neuron (LNv) oscillations and the LNv are the last to resynchronize upon returning to a simulated weekday schedule. Surprisingly, one circadian subgroup, the dorsal neuron group-3 (DN3s), robustly increase their within-group synchrony in response to WLS exposure. Intact adult flies exposed to the WLS schedule show post-WLS transient defects in sleep stability, learning, and memory. Our findings suggest that WLS schedules disrupt circuit-wide circadian neuronal oscillator synchrony for much of the week, thus leading to observed behavioral defects in sleep, learning, and memory. Significance StatementThe circadian clock controls numerous aspects of daily animal physiology, metabolism and behavior. Shift work in humans is harmful. Our understanding of circadian circuit-level oscillations stem from ex vivo imaging of mammalian suprachiasmatic nucleus (SCN) brain slices. However, our knowledge is limited to investigations without direct interrogation of phase-shifting light signals. We measured circuit-level circadian responses to a WLS protocol in light sensitive ex vivo Drosophila whole-brain preparation and find robust sub-circuit-specific oscillator desynchrony/resynchrony responses to light. These circuit-level behaviors correspond to our observed functional defects in learning and memory, and sleep pattern disruption in vivo. Our results reflect that WLS cause circadian-circuit desynchronization and correlate with disrupted cognitive and sleep performance.

neuroscience↗

bioRxiv2019

Macrophages utilize mitochondrial fission to enhance mROS production during responses to Streptococcus pneumoniae

Immunometabolism and regulation of mitochondrial reactive oxygen species (mROS) are critical determinants of the immune effector phenotype of differentiated macrophages. Mitochondrial function requires dynamic fission and fusion, but whether effector function is associated with altered dynamics during bacterial responses is unknown. We show that macrophage mitochondria undergo fission after 12 h of progressive ingestion of live Streptococcus pneumoniae (pneumococci). Fission is associated with progressive reduction in oxidative phosphorylation but increased mROS generation. Fission is enhanced by mROS production, PI3K{gamma} signaling and by cathepsin B, but not by inflammasome activation or IL-1{beta} generation. Reduced fission following PI3K{gamma} or cathepsin B inhibition is associated with reduced mROS generation and bacterial killing. Fission is associated with Parkin recruitment to mitochondria, but not mitophagy. Fission occurs upstream of apoptosis induction and independently of caspase activation. During macrophage innate responses to live bacteria mitochondria shift from oxidative phosphorylation and ATP generation to mROS production and microbicidal responses with a progressive shift towards mitochondrial fission.

immunology↗

bioRxiv2019

Plasticity in a Drosophila wing circuit supports an adaptive sleep function

Sleep is a near universal phenomenon whose function remains controversial. An influential theory of sleep function posits that ecological factors that place animals in harms way increase sleep as a state of adaptive inactivity. Here we find that manipulations that impair flight in Drosophila increase sleep. Further, we identify a novel neural pathway from peripheral wing sensory neurons to the central brain that mediates the change in sleep. Moreover, we show that flight impairments activate and induce structural plasticity in specific projection neurons to support increases in sleep over days. Thus, chemosensory neurons do not only signal sensory cues but also appear to provide information on wing-integrity to support behavioural adaptability. Together, these data provide mechanistic support of adaptive increases in sleep and highlight the importance of behavioural flexibility for fitness and survival.

neuroscience↗

bioRxiv2017

A methodology for unsupervised clustering using iterative pruning to capture fine-scale structure

SNP-based information is used in several existing clustering methods to detect shared genetic ancestry or to identify population substructure. Here, we present a methodology for unsupervised clustering using iterative pruning to capture fine-scale structure called IPCAPS. Our method supports ordinal data which can be applied directly to SNP data to identify fine-scale population structure. We compare our method to existing tools for detecting fine-scale structure via simulations. The simulated data do not take into account haplotype information, therefore all markers are independent. Although haplotypes may be more informative than SNPs, especially in fine-scale detection analyses, the haplotype inference process often remains too computationally intensive. Therefore, our strategy has been to restrict attention to SNPs and to investigate the scale of the structure we are able to detect with them. We show that the experimental results in simulated data can be highly accurate and an improvement to existing tools. We are convinced that our method has a potential to detect fine-scale structure.

bioinformatics↗

bioRxiv2017

IPCAPS: an R package for iterative pruning to capture population structure

BackgroundResolving population genetic structure is challenging, especially when dealing with closely related or geographically confined populations. Although Principal Component Analysis (PCA)-based methods and genomic variation with single nucleotide polymorphisms (SNPs) are widely used to describe shared genetic ancestry, improvements can be made especially when fine-scale population structure is the target.\n\nResultsThis work presents an R package called IPCAPS, which uses SNP information for resolving possibly fine-scale population structure. The IPCAPS routines are built on the iterative pruning Principal Component Analysis (ipPCA) framework that systematically assigns individuals to genetically similar subgroups. In each iteration, our tool is able to detect and eliminate outliers, hereby avoiding severe misclassification errors.\n\nConclusionsIPCAPS supports different measurement scales for variables used to identify substructure. Hence, panels of gene expression and methylation data can be accommodated as well. The tool can also be applied in patient sub-phenotyping contexts. IPCAPS is developed in R and is freely available from bio3.giga.ulg.ac.be/ipcaps

bioinformatics↗

bioRxiv2017

Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis

The most recent genome-wide association study in amyotrophic lateral sclerosis (ALS) demonstrates a disproportionate contribution from low-frequency variants to genetic susceptibility of disease. We have therefore begun Project MinE, an international collaboration that seeks to analyse whole-genome sequence data of at least 15,000 ALS patients and 7,500 controls. Here, we report on the design of Project MinE and pilot analyses of newly whole-genome sequenced 1,264 ALS patients and 611 controls drawn from the Netherlands. As has become characteristic of sequencing studies, we find an abundance of rare genetic variation (minor allele frequency < 0.1 %), the vast majority of which is absent in public data sets. Principal component analysis reveals local geographical clustering of these variants within The Netherlands. We use the whole-genome sequence data to explore the implications of poor geographical matching of cases and controls in a sequence-based disease study and to investigate how ancestry-matched, externally sequenced controls can induce false positive associations. Also, we have publicly released genome-wide minor allele counts in cases and controls, as well as results from genic burden tests.

genetics↗