ArticleBiology open2020
Hormones as adaptive control systems in juvenile fish.
Article in Biology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Environmental tuning of thyroid hormone signaling drives developmental plasticity.Science advances · 2026Article
- Changing Feeding Levels Reveal Plasticity in Elasmobranch Life History Strategies.Ecology letters · 2025Article
- Adaptive host responses to infection can resemble parasitic manipulation.Ecology and evolution · 2023Article
- Identification of differentially expressed genes and SNPs linked to harvest body weight of genetically improved rohu carp,Frontiers in genetics · 2023Article
- Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing.Royal Society open science · 2020Review
- Effects of temperature on feeding and digestive processes in fish.Temperature (Austin, Tex.) · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growth is an important theme in biology. Physiologists often relate growth rates to hormonal control of essential processes. Ecologists often study growth as a function of gradients or combinations of environmental factors. Fewer studies have investigated the combined effects of environmental and hormonal control on growth. Here, we present an evolutionary optimization model of fish growth that combines internal regulation of growth by hormone levels with the external influence of food availability and predation risk. The model finds a dynamic hormone profile that optimizes fish growth and survival up to 30 cm, and we use the probability of reaching this milestone as a proxy for fitness. The complex web of interrelated hormones and other signalling molecules is simplified to three functions represented by growth hormone, thyroid hormone and orexin. By studying a range from poor to rich environments, we find that the level of food availability in the environment results in different evolutionarily optimal strategies of hormone levels. With more food available, higher levels of hormones are optimal, resulting in higher food intake, standard metabolism and growth. By using this fitness-based approach we also find a consequence of evolutionary optimization of survival on optimal hormone use. Where foraging is risky, the thyroid hormone can be used strategically to increase metabolic potential and the chance of escaping from predators. By comparing model results to empirical observations, many mechanisms can be recognized, for instance a change in pace-of-life due to resource availability, and reduced emphasis on reserves in more stable environments.This article has an associated First Person interview with the first author of the paper.
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Registered trials
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