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Keene, A. C.

Publications and source records attributed to Keene, A. C..

At least 55 records · Page 3Linked to original sources

Measuring metabolic rate in single flies during sleep and waking states

Drosophila melanogaster is a leading genetic model for studying the neural regulation of sleep. Sleep is associated with changes in behavior and physiological state that are largely conserved across species. The investigation of sleep in flies has predominantly focused on behavioral readouts of sleep because physiological measurements, including changes in brain activity and metabolic rate are less accessible. We have previously used stop-flow indirect calorimetry to measure whole body metabolic rate in single flies and have shown that in flies, like mammals, metabolic rate is reduced during sleep. Here, we describe a modified version of this system that allows for efficient and highly sensitive acquisition of CO2 output from single flies. We also describe a modification that allows for simultaneous acquisition of CO2 and O2 levels, providing a respiratory quotient that quantifies how metabolic stores are utilized. Finally, we show that sleep-dependent changes in metabolic rate are diminished in aging flies, supporting the notion that sleep quality is reduced as flies age. Taken together, the use of indirect calorimetry provides a physiological measure of sleep with broad applications to genetic studies in flies.

neuroscience↗

Blind cavefish retain functional connectivity in the tectum despite loss of retinal input

Sensory systems display remarkable plasticity and are under strong evolutionary selection. The Mexican cavefish, Astyanax mexicanus, consists of eyed river-dwelling surface populations, and multiple independent cave populations which have converged on eye loss, providing the opportunity to examine the evolution of sensory circuits in response to environmental perturbation. Functional analysis across multiple transgenic populations expressing GCaMP6s showed that functional connectivity of the optic tectum largely did not differ between populations, except for the selective loss of negatively correlated activity within the cavefish tectum, suggesting positively correlated neural activity is resistant to an evolved loss of input from the retina. Further, analysis of surface-cave hybrid fish reveals that changes in the tectum are genetically distinct from those encoding eye-loss. Together, these findings uncover the independent evolution of multiple components of the visual system and establish the use of functional imaging in A. mexicanus to study neural circuit evolution.

neuroscience↗

Long lasting anxiety following early life stress is dependent on glucocorticoid signaling in zebrafish

Chronic adversity in early childhood is associated with increased anxiety and a propensity for substance abuse later in adulthood, yet the effects of early life stress (ELS) on brain development remains poorly understood. The zebrafish, Danio rerio, is a powerful model for studying neurodevelopment and stress. Here, we describe a zebrafish model of ELS and identify a role for glucocorticoid signaling during a critical window in development that leads to long-term changes in brain function. Larval fish subjected to chronic stress in early development exhibited increased anxiety-like behavior and elevated glucocorticoid levels later in life. Increased stress-like behavior was only observed when fish were subjected to ELS within a precise time window in early development, revealing a temporal critical window of sensitivity. Moreover, enhanced anxiety-like behavior only emerges after two months post-ELS, revealing a developmentally specified delay in the effects of ELS. ELS leads to increased levels of baseline cortisol, and resulted in a dysregulation of cortisol receptors, suggesting long-term effects on cortisol signaling. Together, these findings reveal a critical window for ELS to affect developmental reprogramming of the glucocorticoid receptor pathway, resulting in chronic elevated stress.

neuroscience↗

"How do we do this at a distance?!" A descriptive study of remote undergraduate research programs during COVID-19

The COVID-19 pandemic shut down undergraduate research programs across the U.S. Twenty-three sites offered remote undergraduate research programs in the life sciences during summer 2020. Given the unprecedented offering of remote research experiences, we carried out a study to describe and evaluate these programs. Using structured templates, we documented how programs were designed and implemented, including who participated. Through focus groups and surveys, we identified programmatic strengths and shortcomings as well as recommendations for improvements from the perspectives of participating students. Strengths included the quality of mentorship, opportunities for learning and professional development, and development of a sense of community. Weaknesses included limited cohort building, challenges with insufficient structure, and issues with technology. Although all programs had one or more activities related to diversity, equity, inclusion, and justice, these topics were largely absent from student reports even though programs coincided with a peak in national consciousness about racial inequities and structural racism. Our results provide evidence for designing remote REUs that are experienced favorably by students. Our results also indicate that remote REUs are sufficiently positive to further investigate their affordances and constraints, including the potential to scale up offerings, with minimal concern about disenfranchising students.

scientific communication and education↗

Hybridization underlies localized trait evolution in cavefish

Compared to selection on new mutations and standing genetic variation, the role of gene flow in generating adaptive genetic variation has been subject to much debate. Theory predicts that gene flow constrains adaptive evolution via natural selection by homogenizing allele frequencies among populations and introducing migrant alleles that may be locally maladaptive1. However, recent work has revealed that populations can diverge even when high levels of gene flow are present2-4 and that gene flow may play an underappreciated role in facilitating local adaptation by increasing the amount of genetic variation present for selection to act upon5-8. Here, we investigate how genetic variation introduced by gene flow contributes to adaptive evolution of complex traits using an emerging eco-evolutionary model system, the Mexican tetra (Astyanax mexicanus). The ancestral surface form of the Mexican tetra has repeatedly invaded and adapted to cave environments. The Chica cave is unique in that it contains several pool microenvironments inhabited by putative hybrids between surface and cave populations9, providing an opportunity to investigate the dynamics of complex trait evolution and gene flow on a local scale. Here we conduct high-resolution genomic mapping and analysis of eye morphology and pigmentation in fish from multiple pools within Chica cave. We demonstrate that hybridization between cave and surface populations contributes to highly localized variation in behavioral and morphological traits. Analysis of sleep and locomotor behaviors between individual pools within this cave revealed reduced sleep associated with an increase in ancestry derived from cave populations, suggesting pool-specific ecological differences may drive the highly-localized evolution of sleep and locomotor behaviors. Lastly, our analyses uncovered a compelling example of convergent evolution in a core circadian clock gene in multiple independent cavefish lineages and burrowing mammals, indicating a shared genetic mechanism underlying circadian disruption in subterranean vertebrates. Together, our results provide insight into the evolutionary mechanisms that promote adaptive genetic variation and the genetic basis of complex behavioral phenotypes involved in local adaptation.

evolutionary biology↗

A screen for sleep and starvation resistance identifies a wake-promoting role for the auxiliary channel unc79

The regulation of sleep and metabolism are highly interconnected, and dysregulation of sleep is linked to metabolic diseases that include obesity, diabetes, and heart disease. Further, both acute and long-term changes in diet potently impact sleep duration and quality. To identify novel factors that modulate interactions between sleep and metabolic state, we performed a genetic screen for their roles in regulating sleep duration, starvation resistance, and starvation-dependent modulation of sleep. This screen identified a number of genes with potential roles in regulating sleep, metabolism or both processes. One such gene encodes the auxiliary ion channel UNC79, which was implicated in both the regulation of sleep and starvation resistance. Genetic knockdown or mutation of unc79 results in flies with increased sleep duration, as well as increased starvation resistance. Previous findings have shown that unc79 is required in pacemaker for 24-hour circadian rhythms. Here, we find that unc79 functions in the mushroom body, but not pacemaker neurons, to regulate sleep duration and starvation resistance. Together, these findings reveal spatially localized separable functions of unc79 in the regulation of circadian behavior, sleep, and metabolic function.

neuroscience↗

Pleiotropic function of the oca2 gene underlies the evolution of sleep loss and albinism in cavefish

Adaptation to novel environments often involves the evolution of multiple morphological, physiological and behavioral traits. One striking example of multi-trait evolution is the suite of traits that has evolved repeatedly in cave animals, including regression of eyes, loss of pigmentation, and enhancement of non-visual sensory systems [1,3]. The Mexican tetra, Astyanax mexicanus, consists of fish that inhabit at least 30 caves in Northeast Mexico and ancestral-like surface fish which inhabit the rivers of Mexico and Southern Texas [6]. Cave A. mexicanus are interfertile with surface fish and have evolved a number of traits that are common to cave animals throughout the world, including albinism, eye loss, and alterations to behavior [8-10]. To define relationships between different cave-evolved traits, we phenotyped 208 surface-cave F2 hybrid fish for numerous morphological and behavioral traits. We found significant differences in sleep between pigmented and albino hybrid fish, raising the possibility that these traits share a genetic basis. In cavefish and many other species, mutations in oculocutaneous albinism 2 (oca2) cause albinism [11-15]. Surface fish with CRISPR-induced mutations in oca2 displayed both albinism and reduced sleep. Further, this mutation in oca2 fails to complement sleep loss when surface fish harboring this engineered mutation are crossed to different, independently evolved populations of albino cavefish with naturally occurring mutations in oca2, confirming that oca2 contributes to sleep loss. Finally, analysis of the oca2 locus in wild caught cave and surface fish suggests that oca2 is under positive selection in at least three cave populations. Taken together, these findings identify oca2 as a novel regulator of sleep and suggest that a pleiotropic function of oca2 underlies the adaptive evolution of both of albinism and sleep loss.

evolutionary biology↗

Aggression is induced by resource limitation in the monarch caterpillar

Food represents a limiting resource for the growth and developmental progression of many animal species. As a consequence, competition over food, space, or other resources can trigger territoriality and aggressive behavior. Throughout their early development stages, insect larvae eat voraciously and limited food availability can potently impact their viability through metamorphosis. In the monarch butterfly, Danaus plexippus, caterpillars feed predominantly on milkweed, raising the possibility that access to milkweed is critical for growth and survival. Here, we characterize the role of food availability on aggression in monarch caterpillars. We find that monarch caterpillars display stereotyped aggressive lunges that increase during development, peaking during the 4th and 5th instar stages. Detailed behavioral analysis reveals that aggressive actions are most likely to occur when the target is feeding and increases the probability that the target will leave the food source. To determine the relationship between food availability and the initiation of an aggressive encounter, we provided groups of caterpillars differing amounts of food availability and measured aggressive behavior. The number of lunges toward a conspecific caterpillar was significantly increased under conditions of low food availability, suggesting resource defense may trigger aggression. We find that aggression occurs independently of light, suggesting the visual system is dispensable for the induction of aggression. These findings establish monarch caterpillars as a model for investigating interactions between resource availability and aggressive behavior under ecologically relevant conditions and set the stage for future investigations into the neuroethology of aggression in this system.

neuroscience↗

Diversity in rest-activity patterns among Lake Malawi cichlid fishessuggests novel axis of habitat partitioning

Animals display remarkable diversity in rest and activity patterns that are regulated by endogenous foraging strategies, social behaviors, and predator avoidance. Alteration in the circadian timing of activity or the duration of rest-wake cycles provide a central mechanism for animals to exploit novel niches. The diversity of the 3000+ cichlid species throughout the world provides a unique opportunity to examine variation in locomotor activity and rest. Lake Malawi alone is home to over 500 species of cichlids that display divergent behaviors and inhabit well-defined niches throughout the lake. These species are presumed to be diurnal, though this has never been tested systematically. Here, we measure locomotor activity across the circadian cycle in 12 cichlid species from divergent lineages and distinct habitats. We document surprising variability in the circadian time of locomotor activity and the duration of rest. In particular, we identify a single species, Tropheops sp. "red cheek" that is nocturnal. Nocturnal behavior was maintained when fish were provided shelter, but not under constant darkness, suggesting it results from acute response to light rather than an endogenous circadian rhythm. Finally, we show that nocturnality is associated with increased eye size, suggesting a link between visual processing and nighttime activity. Together, these findings identify diversity of locomotor behavior in Lake Malawi cichlids and provide a system for investigating the molecular and neural basis underlying the evolution of nocturnal activity.

evolutionary biology↗

A chromosome level genome of Astyanax mexicanus surface fish for comparing population-specific genetic differences contributing to trait evolution.

Identifying the genetic factors that underlie complex traits is central to understanding the mechanistic underpinnings of evolution. In nature, adaptation to severe environmental change, such as encountered following colonization of caves, has dramatically altered genomes of species over varied time spans. Genomic sequencing approaches have identified mutations associated with troglomorphic trait evolution, but the functional impacts of these mutations remain poorly understood. The Mexican Tetra, Astyanax mexicanus, is abundant in the surface waters of northeastern Mexico, and also inhabits at least 30 different caves in the region. Cave-dwelling A. mexicanus morphs are well adapted to subterranean life and many populations appear to have evolved troglomorphic traits independently, while the surface-dwelling populations can be used as a proxy for the ancestral form. Here we present a high-resolution, chromosome-level surface fish genome, enabling the first genome-wide comparison between surface fish and cavefish populations. Using this resource, we performed quantitative trait locus (QTL) mapping analyses for pigmentation and eye size and found new candidate genes for eye loss such as dusp26. We used CRISPR gene editing in A. mexicanus to confirm the essential role of a gene within an eye size QTL, rx3, in eye formation. We also generated the first genome-wide evaluation of deletion variability that includes an analysis of the impact on protein-coding genes across cavefish populations to gain insight into this potential source of cave adaptation. The new surface fish genome reference now provides a more complete resource for comparative, functional, developmental and genetic studies of drastic trait differences within a species.Competing Interest StatementThe authors have declared no competing interest.View Full Text

genomics↗

Ir56d-dependent fatty acid responses in Drosophila uncovers taste discrimination between different classes of fatty acids

Chemosensory systems are critical for evaluating the caloric value and potential toxicity of food prior to ingestion. While animals can discriminate between 1000s of odors, much less is known about the discriminative capabilities of taste systems. Fats and sugars represent calorically potent and innately attractive food sources that contribute to hedonic feeding. Despite the differences in nutritional value between fats and sugars, the ability of the taste system to discriminate between different rewarding tastants is thought to be limited. In Drosophila, sweet taste neurons expressing the Ionotropic Receptor 56d (IR56d) are required for reflexive behavioral responses to the medium-chain fatty acid, hexanoic acid. Further, we have found that flies can discriminate between a fatty acid and a sugar in aversive memory assays, establishing a foundation to investigate the capacity of the Drosophila gustatory system to differentiate between various appetitive tastants. Here, we tested whether flies can discriminate between different classes of fatty acids using an aversive memory assay. Our results indicate that flies are able to discriminate medium-chain fatty acids from both short- and long-chain fatty acids, but not from other medium-chain fatty acids. Characterization of hexanoic acid-sensitive Ionotropic receptor 56d (Ir56d) neurons reveals broad responsive to short-, medium-, and long-chain fatty acids, suggesting selectivity is unlikely to occur through activation of distinct sensory neuron populations. However, genetic deletion of IR56d selectively disrupts response to medium chain fatty acids, but not short and long chain fatty acids. These findings reveal Ir56d is selectively required for fatty acid taste, and discrimination of fatty acids occurs through differential receptor activation within shared populations of neurons. These findings uncover a capacity for the taste system to encode tastant identity within a taste category.

neuroscience↗

Analysis of stress responses in Astyanax larvae reveals heterogeneity among different populations

Stress responses are conserved physiological and behavioral outcomes as a result of facing potentially harmful stimuli, yet in pathological states, stress becomes debilitating. Stress responses vary considerably throughout the animal kingdom, but how these responses are shaped evolutionarily is unknown. The Mexican cavefish has emerged as a powerful system for examining genetic principles underlying behavioral evolution. Here, we demonstrate that cave Astyanax have reduced behavioral and physiological measures of stress when examined at larval stages. We also find increased expression of the glucocorticoid receptor, a repressible element of the neuroendocrine stress pathway. Additionally, we examine stress in three different cave populations, and find that some, but not all, show reduced stress measures. Together, these results reveal a mechanistic system by which cave-dwelling fish reduced stress, presumably to compensate for a predator poor environment. Research HighlightO_LICavefish populations of A. mexicanus have reduced stress relative to surface conspecific at larval stages C_LIO_LIWe show that a glucocorticoid receptor, a negative regulator of the neuroendocrine stress axis, is upregulated in stress-resistant cavefish C_LIO_LIThere exists much ontological heterogeneity between different cavefish populations. C_LI

neuroscience↗

Analysis of social swimming dynamics in the Mexican cavefish

Fish display a remarkable diversity of social behaviors, from highly social to largely solitary. While social behaviors are likely critical for survival, surprisingly little is known about how they evolve in response to changing environmental pressures. With its highly social surface form and multiple populations of a largely asocial, blind, cave-dwelling form, the Mexican tetra, Astyanax mexicanus, provides a powerful model to study the evolution of social behavior. Given numerous morphological and behavioral differences between the surface and cave forms, a primary impediment to understanding how this behavior evolved is a lack of computational and statistical approaches that can precisely identify independent aspects of social behavior. Here, we use motion tracking and kinematic analysis to quantify social swimming patterns and argue that the absence of schooling in cavefish is not merely a consequence of their inability to see but rather a genuine behavioral adaptation that impacts the way they explore their cave environment. Surface fish school, maintaining both close proximity and alignment with each other. In the dark, surface fish no longer school, but we show that they still attempt to align and maintain proximity when they find themselves near another fish. Conversely, cavefish exhibit little preference for proximity or alignment, instead actively avoiding each other. Cavefish also slow down when more fish are present in the tank, which neither surface fish in the light or in the dark do. Using data-driven computer simulations, we show that those two traits - active avoidance and collective slowdown - are sufficient to shift the exploration strategy of cavefish from mostly-following-the-walls to exploring-the-entire-tank. Finally, we find that those differences in collective swimming patterns are largely consistent across independently-evolved cave populations, revealing an evolutionary convergence on this emergent social behavior. Author SummaryThe Mexican tetra fish offers a fascinating window into the evolution of schooling behavior. Its ancestral-like surface form is found in the rivers and lakes of Mexico and Texas and is highly social. Over the last million years, A. mexicanus repeatedly evolved a second, largely asocial cave form after colonizing a series of dark, underground caves. Here we use motion tracking technology to compare the collective displacement patterns of four populations and present evidence that the loss of schooling in cave populations (i) is a genuine example of parallel behavioral evolution rather than a mere consequence of not being able to see in the dark and (ii) could constitute a cave-specific exploration strategy.

animal behavior and cognition↗

Repeated evolution of circadian clock dysregulation in cavefish populations

Circadian rhythms are nearly ubiquitous throughout nature, suggesting they are critical for survival in diverse environments. Organisms inhabiting environments with arrhythmic days, such as caves, offer a unique opportunity to study the evolution of circadian rhythms in response to changing ecological pressures. Here we demonstrate that the cave environment has led to the repeated disruption of the biological clock across multiple populations of Mexican cavefish, with the circadian transcriptome showing widespread reductions in rhythmicity and changes to the timing of the activation/repression of genes in the core pacemaker. Then, we investigate the function of two genes with decreased rhythmic expression in cavefish. Mutants of these genes phenocopy reductions in sleep seen in multiple cave populations, suggesting a link between circadian dysregulation and sleep reduction. Altogether, our results reveal that evolution in an arrhythmic environment has resulted in dysregulation to the biological clock across multiple populations by diverse molecular mechanisms.

evolutionary biology↗

Neurofibromin regulates metabolic rate via neuronal mechanisms in Drosophila

Neurofibromatosis type 1 (NF1) is a genetic disorder predisposing patients to a range of features, the most characteristic of which include areas of abnormal skin pigmentation and benign tumors associated with peripheral nerves, termed neurofibromas. Less common, but more serious symptoms also include malignant peripheral nerve sheath tumors, other malignancies, and learning disabilities. The NF1 gene encodes neurofibromin, a large protein that functions as a negative regulator of Ras signaling and mediates pleiotropic cellular and organismal function. Recent evidence suggests NF1 may regulate metabolism, though the mechanisms are unknown. Here we show that the Drosophila ortholog of NF1, dNf1 regulates metabolic homeostasis in fruit flies by functioning within a discrete brain circuit. Loss of dNf1 increases metabolic rate and feeding, enhances starvation susceptibility, and decreases lipid stores while increasing lipid turnover rate. The increase in metabolic rate is independent of locomotor activity (grooming), and maps to a subset of neurons in the ventral nervous system. The feeding and metabolic rate effects are due to loss of dNf1 in the same set of neurons, suggesting that increased feeding may be a compensatory effect driven by the increase in metabolic rate and lipid turnover. Finally, we show that the Ras GAP-related domain of neurofibromin is required for normal metabolism, demonstrating that Ras signaling downstream of dNf1 mediates the metabolic effects. These data demonstrate that dNf1 regulates metabolic rate via neuronal mechanisms, suggest that cellular and systemic metabolic alterations may represent a pathophysiological mechanism in NF1, and provide a platform for investigating the cellular role of neurofibromin in metabolic homeostasis.

neuroscience↗

Cavefish brain atlases reveal functional and anatomical convergence across independently evolved populations

Environmental perturbation can drive the evolution of behavior and associated changes in brain structure and function. The generation of computationally-derived whole-brain atlases have provided insight into neural connectivity associated with behavior in many model systems. However, these approaches have not been used to study the evolution of brain structure in vertebrates. The Mexican tetra, A. mexicanus, comprises river-dwelling surface fish and multiple independently evolved populations of blind cavefish, providing a unique opportunity to identify neuroanatomical and functional differences associated with behavioral evolution. We employed intact brain imaging and image registration on 684 larval fish to generate neuroanatomical atlases of surface fish and three different cave populations. Analyses of brain regions and neural circuits associated with behavioral regulation identified convergence on hypothalamic expansion, as well as changes in transmitter systems including elevated numbers of catecholamine and hypocretin neurons in cavefish populations. To define evolutionarily-derived changes in brain function, we performed whole brain activity mapping associated with feeding and sleep. Feeding evoked neural activity in different sensory processing centers in surface and cavefish. We also identified multiple brain regions with sleep-associated activity across all four populations, including the rostral zone of the hypothalamus and tegmentum. Together, these atlases represent the first comparative brain-wide study of intraspecies variation in a vertebrate model, and provide a resource for studying the neural basis underlying behavioral evolution.

neuroscience↗

Evolution of the acoustic startle response of Mexican cavefish

The ability to detect threatening sensory stimuli and initiate an escape response is essential for survival and under stringent evolutionary pressure. In diverse fish species, acoustic stimuli activate Mauthner neurons, which initiate a stereotypical C-start escape response. This reflexive behavior is highly conserved across aquatic species and provides a model for investigating the neural mechanism underlying the evolution of escape behavior. Here, we define evolved differences in the C-start response between populations of the Mexican cavefish, Astyanax mexicanus. Cave populations of A. mexicanus inhabit in an environment devoid of light and macroscopic predation, resulting in evolved differences in diverse morphological and behavioral traits. We find that the C-start is present in multiple populations of cavefish and river-dwelling surface fish, but response kinematics and probability differ between populations. The Pachon population of cavefish have an increased response probability, a slower response and reduction of the maximum bend angle, revealing evolved differences between surface and cave populations. In two other independently evolved populations of cavefish, the response probability and the kinematics of the response differ from one another, as well as from surface fish, suggesting the independent evolution of differences in the C-start response. Investigation of surface-cave hybrids reveals a relationship between angular speed and peak angle, suggesting these two kinematic characteristics are related at the genetic or functional levels. Together, these findings provide support for the use of A. mexicanus as a model to investigate the evolution of escape behavior.

neuroscience↗

Unique transcriptional signatures of sleep loss across independently evolved cavefish populations

Animals respond to sleep loss with compensatory rebound sleep, and this is thought to be critical for the maintenance of physiological homeostasis. Sleep duration varies dramatically across animal species, but it is not known whether evolutionary differences in sleep duration are associated with differences in sleep homeostasis. The Mexican cavefish, Astyanax mexicanus, has emerged as a powerful model for studying the evolution of sleep. While eyed surface populations of A. mexicanus sleep approximately eight hours each day, multiple blind cavefish populations have converged on sleep patterns that total as little as two hours each day, providing the opportunity to examine whether the evolution of sleep loss is accompanied by changes in sleep homeostasis. Here, we examine the behavioral and molecular response to sleep deprivation across four independent populations of A. mexicanus. Our behavioral analysis indicates that surface fish and all three cavefish populations display robust recovery sleep during the day following nighttime sleep deprivation, suggesting sleep homeostasis remains intact in cavefish. We profiled transcriptome-wide changes associated with sleep deprivation in surface fish and cavefish. While the total number of differentially expressed genes was not greater for the surface population, the surface population exhibited the highest number of uniquely differentially expressed genes than any other population. Strikingly, a majority of the differentially expressed genes are unique to individual cave populations, suggesting unique expression responses are exhibited across independently evolved cavefish populations. Together, these findings suggest sleep homeostasis is intact in cavefish despite a dramatic reduction in overall sleep duration.

evolutionary biology↗