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Taisz, I.

Publications and source records attributed to Taisz, I..

3 recordsLinked to original sources

Generating parallel representations of position and identity in the olfactory system

Sex pheromones are key social signals in most animals. In Drosophila a dedicated olfactory channel senses a male pheromone, cis-vaccenyl acetate (cVA) that promotes female courtship while repelling males. Here we show that flies use separate cVA processing streams to extract qualitative and positional information. cVA olfactory neurons are sensitive to concentration differences in a 5 mm range around a male. Second-order projection neurons detect inter-antennal differences in cVA concentration, encoding the angular position of a male. We identify a circuit mechanism increasing left-right contrast through an interneuron which provides contralateral inhibition. At the third layer of the circuit we identify neurons with distinct response properties and sensory integration motifs. One population is selectively tuned to an approaching male with speed-dependent responses. A second population responds tonically to a males presence and controls female mating decisions. A third population integrates a male taste cue with cVA; only a simultaneous presentation of both signals promotes female mating via this pathway. Thus the olfactory system generates a range of complex percepts in discrete populations of central neurons that allow the expression of appropriate behaviors depending on context. Such separation of olfactory features resembles the mammalian what and where visual streams. HighlightsO_LIcVA male pheromone has a 5 mm signaling range, activating two parallel central pathways C_LIO_LIPheromone-sensing neurons have spatial receptive fields sharpened by contralateral inhibition C_LIO_LIPosition (where) and identity (what) are separated at the 3rd layer of cVA processing C_LIO_LIIntegrating taste and cVA in sexually dimorphic aSP-g controls female receptivity C_LI

neuroscience↗

Toxic stress-specific cytoprotective responses regulate learned behavioral decisions in C. elegans

BackgroundProtection of organismal integrity involve physiological stress responses and behavioral defenses. Recent studies in the roundworm Caenorhabditis elegans have shown that pathogen and toxin exposure simultaneously stimulate cellular stress and detoxification responses and aversive behavior. However, whether a coordinate regulation exists between cellular and neurobehavioral defenses remains unclear. ResultsHere we show that exposure of C. elegans to high concentrations of naturally attractive food-derived odors, benzaldehyde and diacetyl, induces toxicity and aversive behavior. Benzaldehyde preconditioning activates systemic cytoprotective stress responses involving DAF-16/FOXO, SKN-1/Nrf and Hsp90 in somatic cells, which confer behavioral tolerance to benzaldehyde and cross-tolerance to the structurally similar methyl-salicylate, but not to the structurally unrelated diacetyl. In contrast, diacetyl preconditioning augments diacetyl avoidance and does not induce apparent molecular defenses. Reinforcement of the experiences using massed training forms relevant associative memories. Memory retrieval by the odor olfactory cues leads to avoidance of food contaminated by diacetyl and context-dependent behavioral decision to avoid benzaldehyde only if there is an alternative, food-indicative odor. ConclusionsOur findings reveal a regulatory link between physiological stress responses and learned behavior which facilitates self-protection in real and anticipated stresses. The potential conservation of this somato-neuronal connection might have relevance in maladaptive avoidant human behaviors.

neuroscience↗

Automated Reconstruction of a Serial-Section EM Drosophila Brain with Flood-Filling Networks and Local Realignment

Reconstruction of neural circuitry at single-synapse resolution is a key target for improving understanding of the nervous system in health and disease. Serial section transmission electron microscopy (ssTEM) is among the most prolific imaging methods employed in pursuit of such reconstructions. We demonstrate how Flood-Filling Networks (FFNs) can be used to computationally segment a forty-teravoxel whole-brain Drosophila ssTEM volume. To compensate for data irregularities and imperfect global alignment, FFNs were combined with procedures that locally re-align serial sections as well as dynamically adjust and synthesize image content. The proposed approach produced a largely merger-free segmentation of the entire ssTEM Drosophila brain, which we make freely available. As compared to manual tracing using an efficient skeletonization strategy, the segmentation enabled circuit reconstruction and analysis workflows that were an order of magnitude faster.

neuroscience↗