Biology subjects

Schleyer, M.

Publications and source records attributed to Schleyer, M..

10 recordsLinked to original sources

bioRxiv2026

Starvation modulates associative short-term memory of Drosophila in a task-dependent manner

It is widely believed that starvation favours the processing of food-related cues, a notion here called the adaptive specificity hypothesis. Indeed, in Drosophila melanogaster starvation is required for appetitive odour-sugar but not for aversive odour-shock memory. Results from Gruber et al. (2013) and Meschi et al. (2024), however, suggest that starvation improves aversive short-term memory, too, challenging this hypothesis. We survey how starvation affects Drosophila associative olfactory short-term memory across 26 learning tasks. These tasks differ in the reinforcers and the amount of training, the life stage of the animals, in the predictive structure and associative timing of the task, in whether memory is expressed as an increase or decrease in odour preference, and in whether the learned behaviour is motivated by obtaining reward or avoiding/ escaping punishment. In adult flies, an improvement was observed for appetitive odour-sugar memories, whereas all tasks yielding aversive memory were unaffected. Strikingly, appetitive tasks that are not sugar-related, namely odour-shock extinction learning and punishment-relief associations, were either unaffected or even impaired, supporting the adaptive specificity hypothesis. In contrast, in 5-day-old larvae sugar-related appetitive associations were compromised, and the same was observed, to varying degrees, in larvae starved one day earlier and for aversive quinine associations, challenging the adaptive specificity hypothesis. Furthermore, we observed starvation-induced changes in locomotion and preference for a subset of the cues used in our study. Our results defy a simplistic interpretation in terms of the adaptive specificity hypothesis and call for case-by-case analyses of how starvation affects learning and behaviour.

neuroscience↗

bioRxiv2025

Relative value learning in Drosophila melanogaster larvae

The ability to learn from past experiences to inform future decision-making is crucial for humans and animals alike. One question with important implications for adaptive decision-making is whether we learn about the absolute values of cues we encounter (how good or bad?), or about their relative values (how much better or worse than the alternative?). Humans have been shown to use relative value learning, even when it leads to suboptimal decisions. In this study, we ask whether insects employ absolute or relative value learning. Using the larvae of the fruit fly Drosophila melanogaster, we designed associative odour-taste learning experiments to distinguish both kinds of learning and find that larvae learn about the relative rather than the absolute values of both rewards and punishments, irrespective of the number and sequence of training trials. This suggests that relative value learning is a facility shared across the animal kingdom from maggots to humans, and can be accomplished even by small insect brains. Given the potential of D. melanogaster as a model organism for in-depth neurobiological analyses, our study opens up an opportunity to reveal the detailed mechanisms underlying relative value learning.

neuroscience↗

bioRxiv2025

Peptidergic top-down control of metabolic state-dependent behavioral decisions in a conflicting sensory context

Animals make economically beneficial behavioral decisions by integrating the external sensory environment with their internal state. The metabolic state, i.e. hunger, can shift priorities, prompting risk-taking and reducing responses to danger during foraging activities. How behavioral changes are processed in the nervous system to generate flexible responses based on needs and risks remains largely unclear. Here, we demonstrate in Drosophila larvae that the corticotropin releasing hormone (CRH) homolog diuretic hormone 44 (Dh44) and its producing neurons exert metabolic top-down control of behavioral choice in a conflicting sensory context. The metabolic state via Dh44 signaling mediates the transition from avoiding to tolerating aversive light conditions in the presence of food. In vivo imaging of neuropeptide release revealed that Dh44 regulates the acute release of Insulin-like peptide 7 (Ilp7) specifically in a conflicting context, thereby inducing light tolerance. Optogenetic activation of specific subsets of Dh44 or Ilp7 producing neurons during starvation is sufficient to shift behavior from light tolerance to avoidance by regulating light avoidance circuit responses. This top-down feedforward peptidergic circuit may represent a general mechanism that helps organisms to balance risk-taking with metabolic needs by allowing flexible adjustment of behavior in a conflicting multisensory environment.

neuroscience↗

bioRxiv2025

Individual dopaminergic neurons induce unique, yet overlapping combinations of behavioural modulations including safety learning, memory retrieval and acute locomotion

Two evolutionary highly conserved functions of dopamine are to carry "teaching" signals during associative learning and to control movement. In mammals and humans, these functions are generally thought to be produced by different populations of neurons. Here, we investigated in the larva of Drosophila melanogaster whether both these functions can be induced by the same individual dopaminergic neurons in the central brain. Focusing on the dopaminergic neurons of the DL1-cluster, we asked whether the optogenetic activation of individual neurons established associative punishment and/or safety memories, controlled the retrieval of the established memories, and acutely modulated locomotion. We found that each neuron had a unique, yet overlapping set of behavioural effects. Several individual neurons both established a memory and modulated acute locomotion by increasing the animals bending and decreasing its velocity. Our results demonstrate that individual dopaminergic neurons can fulfil a surprisingly broad range of functions in different behavioural contexts. Given the highly conserved roles of the dopaminergic system across the animal kingdom, this study raises the question whether a similarly diverse functionality can be found also in other animals, including humans.

neuroscience↗

bioRxiv2023

Intron retention of an adhesion GPCR generates single transmembrane-helix isoforms to enable 7TM-adhesion GPCR function

Adhesion G protein-coupled receptors (aGPCR) function as metabotropic mechanosensors in the nervous system and other organs. aGPCR are heavily spliced forecasting an extraordinary molecular structural diversity. Many predicted isoforms lack the transmembrane (7TM) signaling subunit, but to what extent these non-GPCR isoforms are produced and what physiological purpose they serve is unknown. Alternative splicing through intron retention of ADGRL/Latrophilin/Cirl mRNA in Drosophila generates transcripts encoding unconventional proteins with an extracellular domain anchored by a single transmembrane helix (Cirl1TM). Here, we show that Cirl1TM transcripts are translated in vivo and that Cirl1TM binds Cirl7TM N-terminal fragment-dependently. This interaction enables mechanosensory neurons to distinguish input intensities through Go-dependent signaling. Similarly, a direct interaction was found for mammalian GPR126/ADGRG6 isoforms. Together, our findings define intron retention and isoform-specific heteromerization as extraordinary molecular strategies to adjust Cirl-dependent mechanosensation and demonstrate physiological relevance of versatile aGPCR isoform repertoire to tune cellular responsiveness.

neuroscience↗

bioRxiv2022

Prediction error drives associative olfactory learning and conditioned behavior in a spiking model of Drosophila larva

Predicting reinforcement from the presence of environmental clues is an essential component of guiding goal-directed behavior. In insect brains, the mushroom body is central to learning the necessary associations between sensory signals and reinforcement. We propose a biologically realistic spiking network model of the Drosophila larva olfactory pathway for the association of odors and reinforcement to bias behavior towards approach or avoidance. We demonstrate that prediction error coding through the integration of currently present and expected reinforcement in dopaminergic neurons can serve as a driving force in learning that can, combined with a synaptic homeostasis mechanism, account for experimentally observed features of acquisition and loss of associations in the larva that depend on the intensity of odor and reinforcement and temporal features of their pairing. To allow direct comparisons of our simulations with behavioral data [1], we model learning-induced plasticity over the complete time course of behavioral experiments and simulate the locomotion of individual larvae towards or away from odor sources in a virtual environment.

neuroscience↗

bioRxiv2022

Rewarding capacity of optogenetically activating a giant GABAergic central-brain interneuron in larval Drosophila

Larvae of the fruit fly Drosophila melanogaster are a powerful study case for understanding the neural circuits underlying behavior. Indeed, the numerical simplicity of the larval brain has permitted the reconstruction of its synaptic connectome, and genetic tools for manipulating single, identified neurons allow neural circuit function to be investigated with relative ease and precision. We focus on one of the most complex neurons in the brain of the larva (of either sex), the GABAergic anterior paired lateral neuron (APL). Using behavioral and connectomic analyses, optogenetics, Ca2+ imaging and pharmacology, we study how APL affects associative olfactory memory. We first provide a detailed account of the structure, regional polarity, connectivity, and metamorphic development of APL, and further confirm that optogenetic activation of APL has an inhibiting effect on its main targets, the mushroom body Kenyon cells. All these findings are consistent with the previously identified function of APL in the sparsening of sensory representations. To our surprise, however, we found that optogenetically activating APL can also have a strong rewarding effect. Specifically, APL activation together with odor presentation establishes an odor-specific, appetitive, associative short-term memory, whereas naive olfactory behavior remains unaffected. An acute, systemic inhibition of dopamine synthesis as well as an ablation of the dopaminergic pPAM neurons impair reward learning through APL activation. Our findings provide a study case of complex circuit function in a numerically simple brain, and suggest a previously unrecognized capacity of central-brain GABAergic neurons to engage in dopaminergic reinforcement. Significance statementThe single, identified giant anterior paired lateral (APL) neuron is one of the most complex neurons in the insect brain. It is GABAergic and contributes to the sparsening of neuronal activity in the mushroom body, the memory center of insects. We provide the most detailed account yet of the structure of APL in larval Drosophila as a neurogenetically accessible study case. We further reveal that, contrary to expectations, the experimental activation of APL can exert a rewarding effect, likely via dopaminergic reward pathways. The present study both provides an example of unexpected circuit complexity in a numerically simple brain, and reports an unexpected effect of activity in central-brain GABAergic circuits.

neuroscience↗

bioRxiv2022

High-resolution analysis of individual Drosophila melanogaster larvae within groups uncovers inter- and intra-individual variability in locomotion and its neurogenetic modulation

Neuronally orchestrated muscular movement and locomotion are defining faculties of multicellular animals. Due to its numerically simple brain and neuromuscular system and its genetic accessibility, the larva of the fruit fly Drosophila melanogaster is an established model to study these processes at tractable levels of complexity. However, although the faculty of locomotion clearly pertains to the individual animal, present studies of locomotion in larval Drosophila mostly use group assays and measurements aggregated across individual animals. The alternative is to measure animals one at a time, an extravagance for larger-scale analyses. In principle or in practice, this in particular rules out grasping the inter- and intra-individual variability in locomotion and its genetic and neuronal determinants. Here we present the IMBA (Individual Maggot Behaviour Analyser) for tracking and analysing the behaviour of individual larvae within groups. Using a combination of computational modelling and statistical approaches, the IMBA reliably resolves individual identity across collisions. It does not require specific hardware and can therefore be used in non-expert labs. We take advantage of the IMBA first to systematically describe the inter- and intra-individual variability in free, unconstrained locomotion in wild-type animals. We then report the discovery of a novel, complex locomotion phenotype of a mutant lacking an adhesion-type GPCR. The IMBA further allows us to determine, at the level of individual animals, the modulation of locomotion across repeated activations of dopamine neurons. Strikingly, IMBA can also be used to analyse silly walks, that is patterns of locomotion it was not originally designed to investigate. This is shown for the transient backward locomotion induced by brief optogenetic activation of the brain-descending mooncrawler neurons, and the variability in this behaviour. Thus, the IMBA is an easy-to-use toolbox allowing an unprecedentedly rich view of the behaviour and behavioural variability of individual Drosophila larvae, with utility in multiple biomedical research contexts.

neuroscience↗

bioRxiv2022

Optogenetically induced reward and 'frustration' memory in larval Drosophila

Humans and animals alike form oppositely valenced memories for stimuli that predict the occurrence versus the termination of a reward: appetitive reward memory for stimuli associated with the occurrence of a reward and aversive frustration memory for stimuli that are associated with its termination. We characterize these memories in larval Drosophila using a combination of Pavlovian conditioning, optogenetic activation of the dopaminergic central-brain DAN-i1864 neuron, and high-resolution video-tracking. This reveals their dependency on the number of training trials and the duration of DAN-i1864 activation, their temporal stability, and the parameters of locomotion that are modulated during memory expression. Together with previous results on punishment versus relief learning by DAN-f1 neuron activation, this reveals a 2x2 matrix of timing-dependent memory valence for the occurrence/ termination of reward/ punishment. These findings should aid the understanding and modelling of how brains decipher the predictive, causal structure of events around a target reinforcing occurrence.

neuroscience↗

bioRxiv2020

Associative learning in larval and adult Drosophila is impaired by the dopamine-synthesis inhibitor 3-Iodo-L-tyrosine

Across the animal kingdom, dopamine plays a crucial role in conferring reinforcement signals that teach animals about the causal structure of the world. In the fruit fly Drosophila melanogaster, the dopamine system has largely been studied using a rich genetic toolbox. Here, we suggest a complementary pharmacological approach applying the dopamine-synthesis inhibitor 3-Iodo-L-tyrosine (3IY), which causes acute systemic inhibition of dopamine signaling. Using Pavlovian conditioning, across developmental stages (3rd instar larva versus adult), valence domains (reward versus punishment), and types of reinforcement (natural versus optogenetically induced), we find that 3IY feeding specifically impairs associative learning, whereas additional feeding of L-3,4-dihydroxyphenylalanine (L-DOPA), a precursor of dopamine, rescues this impairment. This study establishes a simple, quick, and comparably low-cost approach that can be combined with the available genetic tools to manipulate and clarify the functions of the dopaminergic system - in D. melanogaster and other animals.

neuroscience↗