Venlafaxine, a serotonin-noradrenaline reuptake inhibitor, is a widely used antidepressant drug routinely detected in aquatic environments. However, its potential impact on courtship behaviour in zebrafish is unknown. We tested the hypothesis that venlafaxine disrupts brain monoamine levels and molecular responses essential for courtship behaviour in zebrafish. Zebrafish (Danio rerio) were exposed to venlafaxine (1, 10, and 100 μg/L) for 20 days. We evaluated the molecular levels and neuronal basis of the effect of venlafaxine on courtship behaviour. Here, we show that venlafaxine inhibited courtship behaviour in zebrafish and increased the transcript levels of 5-ht1a and 5-ht2c while decreasing the transcript levels of genes involved in the dopaminergic system, including th1, th2, drd1b, and drd2b. Venlafaxine upregulated 5-HT levels and downregulated dopamine levels. Moreover, the subordinate fish from the venlafaxine-exposed group had significantly lower motor activity than the subordinate fish of the control group. Collectively, our results reveal that venlafaxine can disturb brain monoamine levels, affecting courtship behaviour in adult zebrafish.
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http://dx.doi.org/10.1016/j.aquatox.2022.106082 | DOI Listing |
J Fish Biol
December 2024
Field School, Coconut Grove, Florida, USA.
Due to the logistical and financial challenges in studying migratory marine species, there is relatively limited knowledge of the reproductive biology, behavior, and habitat use of many ecologically important marine megafauna species, including the Atlantic tarpon Megalops atlanticus. Here, we present a novel observation using consumer-grade aerial drones to observe, quantify the scale of, and classify behaviors within a previously unreported tarpon aggregation (N = 182) over the course of a 2-day fish aggregation event. After the event, we analysed and compared observed behaviors (e.
View Article and Find Full Text PDFInsects copulate multiple times not only with different mates but also with the same mate, which is called repeated copulation. It occurs as a repeated alternation between copulation and mate-guarding, leading to the prolonged physical attachment between males and females. Particularly, in species where males forcefully grasp females, attempt to mate without courtship and exhibit repeated copulations, male and female morphological traits are expected to be associated with mating characteristics.
View Article and Find Full Text PDFEvolution
December 2024
Department of Biology, Indiana University, Bloomington, Indiana.
Females that mate multiply make postmating choices about which sperm fertilize their eggs (cryptic female choice); however, the male characteristics they use to make such choices remain unclear. In this study, we sought to understand female sperm use patterns by evaluating whether Drosophila melanogaster females adjust sperm use (second male paternity) in response to four main factors: male genotype, male courtship effort, male pheromone alteration, and male postmating reproductive morphology. Our experiment was replicated across four different D.
View Article and Find Full Text PDFFly (Austin)
December 2025
Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK.
and are a sister species pair that have been used as a model for studies of reproductive isolation and speciation for almost 100 years owing to their close evolutionary history, well characterized genetic differences, and overlapping geographic distribution. There are extensive analyses of both pre- and post-zygotic isolation, including studies of courtship divergence, conspecific sperm precedence (CSP) and how reinforcement by natural selection may or may not act to strengthen isolation in sympatry. Post-zygotic analyses explore the underlying mechanics of reproductive isolation; how inversions may give rise to initial speciation events and misexpression of key genes typically found within inversion regions render hybrid offspring unfit or inviable.
View Article and Find Full Text PDFFront Behav Neurosci
December 2024
McGrath Lab, Georgia Institute of Technology, School of Biological Sciences, Atlanta, GA, United States.
Methods from Machine Learning (ML) and Computer Vision (CV) have proven powerful tools for quickly and accurately analyzing behavioral recordings. The computational complexity of these techniques, however, often precludes applications that require real-time analysis: for example, experiments where a stimulus must be applied in response to a particular behavior or samples must be collected soon after the behavior occurs. Here, we describe SARTAB (Scalable Automated Real-Time Analysis of Behavior), a system that achieves automated real-time behavior detection by continuously monitoring animal positions relative to behaviorally relevant Regions Of Interest (ROIs).
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