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[
Curr Top Behav Neurosci,
2013]
For invertebrates to become useful models for understanding the genetic and physiological mechanisms of alcoholism related behaviors and the predisposition towards alcoholism, several general requirements must be fulfilled. The animal should encounter ethanol in its natural habitat, so that the central nervous system of the organism will have evolved mechanisms for responding to ethanol exposure. How the brain adapts to ethanol exposure depends on its access to ethanol, which can be regulated metabolically and/or by physical barriers. Therefore, a model organism should have metabolic enzymes for ethanol degradation similar to those found in humans. The neurons and supporting glial cells of the model organism that regulate behaviors affected by ethanol should share the molecular and physiological pathways found in humans, so that results can be compared. Finally, the use of invertebrate models should offer advantages over traditional model systems and should offer new insights into alcoholism-related behaviors. In this review we will summarize behavioral similarities and identified genes and mechanisms underlying ethanol-induced behaviors in invertebrates. This review mainly focuses on the use of the nematode Caenorhabditis elegans, the honey bee Apis mellifera and the fruit fly Drosophila melanogaster as model systems. We will discuss insights gained from those studies in conjunction with their vertebrate model counterparts and the implications for future research into alcoholism and alcohol-induced behaviors.
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[
Alcohol Clin Exp Res,
2019]
Alcohol use disorders (AUDs) are very common worldwide and negatively affect both individuals and societies. To understand how normal behavior turns into uncontrollable use of alcohol, several approaches have been utilized in the last decades. However, we still do not completely understand how AUDs evolve or how they are maintained in the brains of affected individuals. In addition, efficient and effective treatment is still in need of development. This review focuses on alternative approaches developed over the last 20 years using Drosophila melanogaster (Drosophila) and Caenorhabditis elegans (C. elegans) as genetic model systems to determine the mechanisms underlying the action of ethanol and behaviors associated with AUDs. All the results and insights of studies over the last 20 years cannot be comprehensively summarized. Thus, a few prominent examples are provided highlighting the principles of the genes and mechanisms that have been uncovered and are involved in the action of ethanol at the cellular level. In addition, examples are provided of the genes and mechanisms that regulate behaviors relevant to acquiring and maintaining excessive alcohol intake, such as decision making, reward and withdrawal and/or relapse regulation. How the insight gained from the results of Drosophila and C. elegans models can be translated to higher organisms, such as rodents and/or humans, is discussed, as well as whether these insights have any relevance or impact on our understanding of the mechanisms underlying AUDs in humans. Finally, future directions are presented that might facilitate the identification of drugs to treat AUDs.
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J Neurosci Methods,
2016]
BACKGROUND: The nematode Caenorhabditis elegans is widely used for studying small neural circuits underlying behavior. In particular, the rhythmic feeding motions collectively termed pharyngeal pumping are regulated by a nearly autonomous network of 20 neurons of 14 types. Despite much progress achieved through laser ablation, genetics, electrophysiology, and optogenetics, key questions regarding the regulation of pumping remain open. NEW METHOD: We describe the implementation and application of a scalable automated method for measuring pumping in controlled environments. Our implementation is affordable and flexible: key hardware and software elements can be modified to accommodate different requirements. RESULTS: We demonstrate prolonged measurements under controlled conditions and the resulting high quality data. We show the scalability of our method, enabling high throughput, and its suitability for maintaining static and dynamic conditions. When food availability was oscillated, pumping rates were low as compared to steady conditions and pumping activity was not reliably modulated in response to changes in food concentration. COMPARISON WITH EXISTING METHOD: The prevailing method for measuring rates of pumping relies on scoring by visual inspection of short recordings. Our automated method compares well with manual scoring. It enables detailed statistical characterization under experimental conditions not previously accessible and minimizes unintentional bias. CONCLUSIONS: Our approach adds a powerful tool for studying pharyngeal pumping. It enhances the experimental versatility of assaying genetic and pharmacological manipulations and the ability to characterize the resulting behavior. Both the experimental setup and the analysis can be readily adapted to additional challenging motion detection problems.
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Randi, Francesco, Leifer, Andrew, Yu, Xinwei, Shaevitz, Joshua, Linder, Ashley, Scholz, Monika, Sharma, Anuj
[
International Worm Meeting,
2019]
How do patterns of neural activity across the brain represent an animal's behavior? Recent techniques for recording from large populations of neurons are providing new insights into how locomotion is encoded in population-level neural activity. Studies from mammalian systems suggest that behavioral information may be more prevalent throughout the brain and may account for a larger fraction of neural dynamics than previously thought. In C. elegans, pioneering studies revealed that the worm's neural dynamics during immobilization exhibit striking stereotyped low-dimensional patterns of neural activity that dominate brain-wide dynamics (Kato et al., 2015). These dynamics are hypothesized to map onto a motor sequence consisting of forward, backward and turning locomotion. One interpretation is that the majority of the worm brain's activity may be involved in encoding these locomotory behaviors. Here we seek to directly measure how patterns of neural activity represent locomotion by recording brain-wide calcium activity in freely-moving animals. We record calcium activity simultaneously from the majority of head neurons in C. elegans during unrestrained spontaneous locomotory behavior (Scholz et al., 2018). We find that a subset of neurons distributed throughout the head encode locomotion. By taking a linear combination of these neurons' activity, we predict the animal's velocity and body curvature and further infer the animal's posture from neural activity alone. The collective activity of these neurons outperforms single neurons at predicting velocity or body curvature. We further attempt to estimate the identity of neurons involved in the prediction. Among neurons important for the prediction are well-known locomotory neurons, as well as neurons not traditionally associated with locomotion. We compare the neural activity of the same animal during unrestrained movement and during immobilization and observe large differences in their neural dynamics. Intriguingly, during unrestrained movement we estimate that only a small fraction of the brain's overall neural dynamics are encoding velocity and body curvature. We speculate that the rest of the brain's neural dynamics may be involved in encoding other behaviors, processing sensory information or maintaining internal brain states. Kato, S., Kaplan, H.S., Schrodel, T., Skora, S., Lindsay, T.H., Yemini, E., Lockery, S., and Zimmer, M. (2015). Global brain dynamics embed the motor command sequence of Caenorhabditis elegans. Cell 163, 656-669. Scholz, M., Linder, A.N., Randi, F., Sharma, A.K., Yu, X., Shaevitz, J.W., and Leifer, A. (2018). Predicting natural behavior from whole-brain neural dynamics. BioRxiv 445643.
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[
International Worm Meeting,
2015]
C. elegans feeding consists of two pharyngeal motions: pumping and isthmus peristalsis. Pumping is typically quantified by counting the number of quasi-periodic contractions of the terminal bulb during a fixed short period. Under ideal imaging conditions, i.e., high magnification and high spatial and temporal resolutions, automated detection of pharyngeal pumping can be achieved using intensity threshold-based machine vision. However, such conditions require the dedication of significant resources to every animal, thus limiting the throughput of the assay.To increase throughput, we built an imaging setup that utilizes low-cost low-magnification educational grade optics. A microfluidic device (WormSpa) restricts the motion of the animals and enables precise control of the flow of bacterial food. To separate the small amplitude of the motion of the bulb from motion artifacts, we implemented an improved image analysis approach.Here we show that low-cost low-resolution images can yield high quality pharyngeal pumping data.We describe the experimental setup and outline an image analysis approach that can robustly identify pumping events in the resulting images. In brief, we make use of the fact that at high imaging rates the entropy of the difference between consecutive images of the terminal bulb is dominated by the fast contractions. Consequently, a pump creates a distinctly shaped peak in the entropy of the difference image. As compared to manual scoring, we found that this method accurately and robustly identifies pharyngeal pumping.For scalability, we implemented this approach in Python and integrated it with a parallel workflow on a high power computing cluster. Thus, the analyses of prolonged recordings can be completed in a shorter amount of time than it took to acquire the raw data.
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[
Proc Natl Acad Sci U S A,
2017]
Animals regulate their food intake in response to the available level of food. Recent observations of feeding dynamics in small animals showed feeding patterns of bursts and pauses, but their function is unknown. Here, we present a data-driven decision-theoretical model of feeding in Caenorhabditis elegans Our central assumption is that food intake serves a dual purpose: to gather information about the external food level and to ingest food when the conditions are good. The model recapitulates experimentally observed feeding patterns. It naturally implements trade-offs between speed versus accuracy and exploration versus exploitation in responding to a dynamic environment. We find that the model predicts three distinct regimes in responding to a dynamical environment, with a transition region where animals respond stochastically to periodic signals. This stochastic response accounts for previously unexplained experimental data.
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Curr Top Behav Neurosci,
2023]
Humans consume ethanol-containing beverages, which may cause an uncontrollable or difficult-to-control intake of ethanol-containing liquids and may result in alcohol use disorders. How the transition at the molecular level from "normal" ethanol-associated behaviors to addictive behaviors occurs is still unknown. One problem is that the components contributing to normal ethanol intake and their underlying molecular adaptations, especially in neurons that regulate behavior, are not clear. The fruit fly Drosophila melanogaster and the earthworm Caenorhabditis elegans show behavioral similarities to humans such as signs of intoxication, tolerance, and withdrawal. Underlying the phenotypic similarities, invertebrates and vertebrates share mechanistic similarities. For example in Drosophila melanogaster, the dopaminergic neurotransmitter system regulates the positive reinforcing properties of ethanol and in Caenorhabditis elegans, serotonergic neurons regulate feeding behavior. Since these mechanisms are fundamental molecular mechanisms and are highly conserved, invertebrates are good models for uncovering the basic principles of neuronal adaptation underlying the behavioral response to ethanol. This review will focus on the following aspects that might shed light on the mechanisms underlying normal ethanol-associated behaviors. First, the current status of what is required at the behavioral and cellular level to respond to naturally occurring levels of ethanol is summarized. Low levels of ethanol delay the development and activate compensatory mechanisms that in turn might be beneficial for some aspects of the animal's physiology. Repeated exposure to ethanol however might change brain structures involved in mediating learning and memory processes. The smell of ethanol is already a key component in the environment that is able to elicit behavioral changes and molecular programs. Minimal networks have been identified that regulate normal ethanol consumption. Other environmental factors that influence ethanol-induced behaviors include the diet, dietary supplements, and the microbiome. Second, the molecular mechanisms underlying neuronal adaptation to the cellular stressor ethanol are discussed. Components of the heat shock and oxidative stress pathways regulate adaptive responses to low levels of ethanol and in turn change behavior. The adaptive potential of the brain cells is challenged when the organism encounters additional cellular stressors caused by aging, endosymbionts or environmental toxins or excessive ethanol intake. Finally, to underline the conserved nature of these mechanisms between invertebrates and higher organisms, recent approaches to identify drug targets for ethanol-induced behaviors are provided. Already approved drugs regulate ethanol-induced behaviors and they do so in part by interfering with cellular stress pathways. In addition, invertebrates have been used to identify new compounds targeting molecules involved in the regulation in ethanol withdrawal-like symptoms. This review primarily highlights the advances of the last 5&#
xa0;years concerning Drosophila melanogaster, but also provides intriguing examples of Caenorhabditis elegans and Apis mellifera in support.
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[
Anal Chim Acta,
2024]
BACKGROUND: Lipidomics studies require rapid separations with accurate and reliable quantification results to further elucidate the role of lipids in biological processes and their biological functions. Supercritical fluid chromatography (SFC), in particular, can provide this rapid and high-resolution separation. The combination with trapped ion mobility spectrometry (TIMS) has not yet been applied, although the post-ionization separation method in combination with liquid chromatography or imaging techniques has already proven itself in resolving isomeric and isobaric lipids and preventing false identifications. However, a multidimensional separation method should not only allow confident identification but also provide quantitative results to substantiate studies with absolute concentrations. RESULTS: A SFC method was developed and the hyphenation of SFC and TIMS was further explored towards the separation of different isobaric overlaps. Furthermore, lipid identification was performed using mass spectrometry (MS) and parallel accumulation serial fragmentation (PASEF) MS/MS experiments in addition to retention time and collision cross section (CCS). Quantification was further investigated with short TIMS ramps and performed based on the ion mobility signal of lipids, since TIMS increases the sensitivity by noise filtering. The final method was, as an exemplary study, applied to investigate the function of different ceramide synthases (CerS) in the nematode and model organism Caenorhabditis elegans (C. elegans). Loss of three known CerS
hyl-1,
hyl-2 and
lagr-1 demonstrated different influences on and alterations in the sphingolipidome. SIGNIFICANCE: This method describes for the first time the combination of SFC and TIMS-MS/MS, which enables a fast and sensitive quantification of lipids. The results of the application to C. elegans samples prove the functionality of the method and support research on the metabolism of sphingolipids in nematodes.
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J Chromatogr A,
2021]
Sphingolipids exert important functions in cells, ranging from stabilising the cell membrane to bioactive signalling in signal transduction pathways. Changed concentrations of sphingolipids are associated with, among others, neurodegenerative and cardiovascular diseases. In this work, we present a novel two-dimensional liquid chromatography method (2D-LC) coupled to tandem mass spectrometry (MS/MS) for the identification of ceramides, hexosylceramides and sphingomyelins in the model organism Caenorhabditis elegans (C. elegans). The method utilises a multiple heart-cut approach with a hydrophilic interaction liquid chromatography (HILIC) separation in the first dimension. The fractions of the sphingolipid classes were cut out and thereby separated from the abundant glycerolipids, which offers a simplified sample preparation and a high degree of automation as it compensates the alkaline depletion step usually conducted prior to the chromatographic analysis. The fractions were stored in a sample loop and transferred onto the second column with the combination of two six port valves. A reversed phase liquid chromatography was performed as the second dimension and allowed for a separation of the species within a sphingolipid class and according to the fatty acid moiety of the sphingolipid. The segregation of the abundant glycerolipids and the reduced matrix effects allowed for better identification of low abundant species, especially dihydro-sphingolipids with a saturated sphingoid base. In addition, the separation of the three fractions was carried out parallel to the separation and equilibration in the first dimension, which leads to no extension of the analysis time for the 2D-LC compared to the one-dimensional HILIC method. In total 45 sphingolipids were detected in the C. elegans lipid extract and identified via accurate mass and MS/MS fragments.
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[
Development,
2018]
Asymmetric division is crucial for embryonic development and stem cell lineages. In the one-cell <i>C. elegans</i> embryo, a contractile cortical actomyosin network contributes to asymmetric division by segregating PAR proteins to discrete cortical domains. Here, we discovered that the plasma membrane lipid phosphatidylinositol 4,5-bisphosphate (PIP<sub>2</sub>) localizes to polarized dynamic structures in <i>C. elegans</i> zygotes, distributing in a PAR-dependent manner along the anterior-posterior (A-P) embryonic axis. PIP<sub>2</sub> cortical structures overlap with F-actin, and coincide with the actin regulators RHO-1, CDC-42 as well as ECT-2. Particle image velocimetry analysis revealed that PIP<sub>2</sub> and F-actin cortical movements are coupled, with PIP<sub>2</sub> structures moving slightly ahead. Importantly, we established that PIP<sub>2</sub> cortical structure formation and movement is actin-dependent. Conversely, we found that decreasing or increasing the level of PIP<sub>2</sub> results in severe F-actin disorganization, revealing interdependence between these components. Furthermore, we uncovered that PIP<sub>2</sub> and F-actin regulate the sizing of PAR cortical domains, including during the maintenance phase of polarization. Overall, our work establishes that a lipid membrane component, PIP<sub>2</sub>, modulates actin organization and cell polarity in <i>C. elegans</i> embryos.