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Drosophila Reward Circuits  

John S. Hernandez, Tariq M. Brown, and Karla R. Kaun

The ability to sense and respond to a rewarding stimulus is a key advantage for animals in their natural environment. The circuits that mediate these responses are complex, and it has been difficult to identify the fundamental principles of reward structure and function. However, the well-characterized brain anatomy and sophisticated neurogenetic tools in Drosophila melanogaster make the fly an ideal model to understand the mechanisms through which reward is encoded. Drosophila find food, water, intoxicating substances, and social acts rewarding. Basic monoaminergic neurotransmitters, including dopamine (DA), serotonin (5-HT), and octopamine (OA), play a central role in encoding these rewards. DA is central to sensing, encoding, responding, and predicting reward, whereas 5-HT and OA carry information about the environment that influences DA circuit activity. In contrast, slower-acting neuromodulators such as hormones and neuropeptides play a key role in both encoding the pleasurable stimulus and modulating how the internal environment of the fly influences reward sensation and seeking. Recurring circuit motifs for reward signaling identified in Drosophila suggest that these key principles will help elucidate understanding of how reward circuits function in all animals.


The Processing of Hydrodynamic Stimuli With the Fish Lateral Line System  

Joachim Mogdans

All fish have a mechanosensory lateral line system for the detection of hydrodynamic stimuli. It is thus not surprising that the lateral line system is involved in numerous behaviors, including obstacle avoidance, localization of predators and prey, social communication, and orientation in laminar and turbulent flows. The sensory units of the lateral line system are the neuromasts, which occur freestanding on the skin (superficial neuromasts) and within subdermal canals (canal neuromasts). The canals are in contact with the surrounding water through a series of canal pores. Neuromasts consist of a patch of sensory hair cells covered by a gelatinous cupula. Water flow causes cupula motion, which in turn leads to a change in the hair cells’ receptor potentials and a subsequent change in the firing rate of the innervating afferent nerve fibers. These fibers encode velocity, direction, and vorticity of water motions by means of spike trains. They project predominantly to lateral line neurons in the brainstem for further processing of the received hydrodynamic signals. From the brainstem, lateral line information is transferred to the cerebellum and to midbrain and forebrain nuclei, where lateral line information is integrated with information from other sensory modalities to create a three-dimensional image of the hydrodynamic world surrounding the animal. For fish to determine spatial location and identity of a wave source as well as direction and velocity of water movements, the lateral line system must analyze the various types of hydrodynamic stimuli that fish are exposed to in their natural habitat. Natural hydrodynamic stimuli include oscillatory water motions generated by stationary vibratory sources, such as by small crustaceans; complex water motions produced by animate or inanimate moving objects, such as by swimming fish; bulk water flow in rivers and streams; and water flow containing vortices generated at the edges of objects in a water flow. To uncover the mechanisms that underlie the coding of hydrodynamic information by the lateral line system, neurophysiological experiments have been performed at the level of the primary afferent nerve fibers, but also in the central nervous system, predominantly in the brainstem and midbrain, using sinusoidally vibrating spheres, moving objects, vortex rings, bulk water flow, and Kármán vortex streets as wave sources. Unravelling these mechanisms is fundamental to understanding how the fish brain uses hydrodynamic information to adequately guide behavior.


Sensing Polarized Light in Insects  

Thomas F. Mathejczyk and Mathias F. Wernet

Evolution has produced vast morphological and behavioral diversity amongst insects, including very successful adaptations to a diverse range of ecological niches spanning the invasion of the sky by flying insects, the crawling lifestyle on (or below) the earth, and the (semi-)aquatic life on (or below) the water surface. Developing the ability to extract a maximal amount of useful information from their environment was crucial for ensuring the survival of many insect species. Navigating insects rely heavily on a combination of different visual and non-visual cues to reliably orient under a wide spectrum of environmental conditions while avoiding predators. The pattern of linearly polarized skylight that results from scattering of sunlight in the atmosphere is one important navigational cue that many insects can detect. Here we summarize progress made toward understanding how different insect species sense polarized light. First, we present behavioral studies with “true” insect navigators (central-place foragers, like honeybees or desert ants), as well as insects that rely on polarized light to improve more “basic” orientation skills (like dung beetles). Second, we provide an overview over the anatomical basis of the polarized light detection system that these insects use, as well as the underlying neural circuitry. Third, we emphasize the importance of physiological studies (electrophysiology, as well as genetically encoded activity indicators, in Drosophila) for understanding both the structure and function of polarized light circuitry in the insect brain. We also discuss the importance of an alternative source of polarized light that can be detected by many insects: linearly polarized light reflected off shiny surfaces like water represents an important environmental factor, yet the anatomy and physiology of underlying circuits remain incompletely understood.