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Eye Removal in Living Zebrafish Larvae to Examine Innervation-dependent Growth and Development of the Visual System
Published on: February 11, 2022
The tectal melanocortin system modulates energy-dependent visual avoidance behavior in zebrafish.
Madhuri Puvvada1, Tim Hladnik2, Yue Zhang2
1Institute of Zoology, University of Cologne, Cologne, Germany.
Iscience
|June 3, 2026
Summary
The brain
Area of Science:
- Neuroscience
- Behavioral Biology
- Endocrinology
Background:
- Energy homeostasis relies on balancing energy intake and expenditure.
- The hypothalamic melanocortin system is known for regulating feeding behavior.
- Broader behavioral roles of this system are not well understood.
Purpose of the Study:
- To investigate the role of the hypothalamic melanocortin system in behaviors beyond feeding.
- To explore the function of pro-opiomelanocortin (pomca) and melanocortin receptor 4 (Mc4r) in larval zebrafish behavior.
- To determine how internal energy state influences behavioral energy expenditure decisions.
Main Methods:
- Utilized larval zebrafish as a model organism.
- Investigated neural projections from hypothalamic pomca neurons to the tectum.
- Examined the role of Mc4r signaling in visually guided avoidance behaviors.
- Compared behavior in sated versus hungry larvae.
- Disrupted Mc4r signaling to assess its impact on behavior.
Main Results:
- Hypothalamic pomca neurons target Mc4r-expressing neurons in the tectum.
- Melanocortin signaling modulates visually guided avoidance of small stimuli, not prey consumption.
- Sated larvae exhibit increased avoidance of small objects compared to hungry larvae.
- Disruption of Mc4r signaling in sated larvae reduces avoidance behavior.
- The melanocortin system's function is dependent on the organism's energy reserves.
Conclusions:
- Hypothalamic melanocortin signaling regulates energy expenditure through sensorimotor tuning.
- This system modulates avoidance behavior based on internal energy state, not feeding.
- Uncovers a novel role for melanocortins in behavioral energy allocation decisions.
Keywords:
biological sciences
