Spatial navigation represents one of the most fundamental cognitive functions, enabling organisms to orient themselves and return to specific locations. In insects such as Drosophila melanogaster, this ability relies on a neural process known as path integration — the continuous computation of direction and distance based on self-motion cues. Recent research has identified the fly’s central complex as a key neural substrate for this process, integrating sensory and motor information into a coherent internal representation of space (Hulse et al., 2022; Seelig & Jayaraman, 2015). The present thesis provides a theoretical synthesis of current findings on the neural and molecular mechanisms underlying path integration in Drosophila melanogaster, with a particular focus on the rutabaga gene, which encodes a calcium/calmodulin-dependent adenylyl cyclase (Levin et al., 1992). While rutabaga mutants are well known for deficits in associative learning and synaptic plasticity (Davis, 2011; Zhao et al., 2021), their influence on spatial computation remains insufficiently explored. By connecting insights from neurogenetics, behavioral neuroscience, and computational modeling, this work aims to elucidate how disruptions in memory-related signaling pathways might affect navigational accuracy. In addition to reviewing the theoretical literature, the thesis integrates practical reflections derived from a five-week internship at the Groschner Lab (Medical University of Graz), which provided exposure to Drosophila genetics, husbandry, and optogenetic approaches to behavioral analysis. Together, these perspectives aim to highlight how genetic manipulations can illuminate the interplay between molecular mechanisms and higher-order cognitive processes. The final discussion considers future experimental strategies that could empirically test the proposed theoretical relationships, thus contributing to a more comprehensive understanding of the neural architecture of insect navigation.
Neural Mechanisms of Path Integration in Drosophila melanogaster: The Role of the Rutabaga Mutation – A Theoretical Perspective
LEDERER, NADINE KATHRIN
2025/2026
Abstract
Spatial navigation represents one of the most fundamental cognitive functions, enabling organisms to orient themselves and return to specific locations. In insects such as Drosophila melanogaster, this ability relies on a neural process known as path integration — the continuous computation of direction and distance based on self-motion cues. Recent research has identified the fly’s central complex as a key neural substrate for this process, integrating sensory and motor information into a coherent internal representation of space (Hulse et al., 2022; Seelig & Jayaraman, 2015). The present thesis provides a theoretical synthesis of current findings on the neural and molecular mechanisms underlying path integration in Drosophila melanogaster, with a particular focus on the rutabaga gene, which encodes a calcium/calmodulin-dependent adenylyl cyclase (Levin et al., 1992). While rutabaga mutants are well known for deficits in associative learning and synaptic plasticity (Davis, 2011; Zhao et al., 2021), their influence on spatial computation remains insufficiently explored. By connecting insights from neurogenetics, behavioral neuroscience, and computational modeling, this work aims to elucidate how disruptions in memory-related signaling pathways might affect navigational accuracy. In addition to reviewing the theoretical literature, the thesis integrates practical reflections derived from a five-week internship at the Groschner Lab (Medical University of Graz), which provided exposure to Drosophila genetics, husbandry, and optogenetic approaches to behavioral analysis. Together, these perspectives aim to highlight how genetic manipulations can illuminate the interplay between molecular mechanisms and higher-order cognitive processes. The final discussion considers future experimental strategies that could empirically test the proposed theoretical relationships, thus contributing to a more comprehensive understanding of the neural architecture of insect navigation.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/105045