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Updated: Dec 29, 2025

Gonadectomy and Blood Sampling Procedures in the Small Size Teleost Model Japanese Medaka Oryzias latipes

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Published on: December 11, 2020

Hormones as adaptive control systems in juvenile fish.

Jacqueline Weidner¹, Camilla Håkonsrud Jensen², Jarl Giske²

¹University of Bergen, Department of Biological Sciences, Postboks 7803, N-5020 Bergen, Norway Jacqueline.Weidner@hvl.no.

|January 31, 2020

Summary

This summary is machine-generated.

This study models fish growth, integrating hormone levels with food and predation risks. Optimal hormone strategies balance growth and survival, adapting to environmental conditions for evolutionary fitness.

Keywords:

Allocation Dynamic state-dependent model Growth Hormone Strategy Survival

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Area of Science:

Evolutionary biology
Physiology
Ecology

Background:

Growth is central to biology, influenced by hormones and environmental factors.
Few studies integrate hormonal control with environmental influences on growth.
Understanding these combined effects is crucial for ecological and physiological insights.

Purpose of the Study:

To develop an evolutionary optimization model of fish growth.
To investigate the interplay of hormone levels, food availability, and predation risk on growth and survival.
To determine dynamic hormone profiles that optimize fitness.

Main Methods:

Developed an evolutionary optimization model for fish growth.
Simplified hormonal regulation to three key functions: growth hormone, thyroid hormone, and orexin.
Simulated varying environmental conditions (food availability, predation risk).

Main Results:

Identified evolutionarily optimal hormone profiles that balance growth and survival up to 30 cm.
Demonstrated that higher food availability leads to higher optimal hormone levels, increasing metabolism and growth.
Showed strategic use of thyroid hormone to enhance predator escape in risky environments.

Conclusions:

Environmental factors significantly shape optimal hormonal strategies for growth and survival.
Hormonal regulation is a key component of evolutionary adaptation to ecological pressures.
Model results align with empirical observations of pace-of-life and resource strategies.