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激素作为幼鱼适应性控制系统。

Hormones as adaptive control systems in juvenile fish.

机构信息

University of Bergen, Department of Biological Sciences, Postboks 7803, N-5020 Bergen, Norway

University of Bergen, Department of Biological Sciences, Postboks 7803, N-5020 Bergen, Norway.

出版信息

Biol Open. 2020 Feb 17;9(2):bio046144. doi: 10.1242/bio.046144.

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.

摘要

生长是生物学中的一个重要主题。生理学家通常将生长速率与激素对基本过程的控制联系起来。生态学家通常将生长作为环境因素梯度或组合的函数进行研究。较少的研究调查了环境和激素控制对生长的综合影响。在这里,我们提出了一个鱼类生长的进化优化模型,该模型将激素水平对生长的内部调节与食物供应和捕食风险的外部影响结合起来。该模型找到了一个动态的激素谱,使鱼类的生长和生存达到 30 厘米达到最佳状态,我们使用达到这一里程碑的概率作为适应度的代理。复杂的相互关联的激素和其他信号分子网络简化为代表生长激素、甲状腺激素和食欲素的三个功能。通过研究从贫困到富裕的一系列环境,我们发现环境中食物供应的水平导致了不同的激素水平的进化最优策略。随着食物供应的增加,更高水平的激素是最佳的,从而导致更高的食物摄入、标准代谢和生长。通过使用这种基于适应度的方法,我们还发现了生存的进化优化对激素使用的最佳状态的一个后果。在觅食有风险的情况下,甲状腺激素可以被战略性地用来增加代谢潜力和逃避捕食者的机会。通过将模型结果与经验观察进行比较,可以识别出许多机制,例如由于资源可用性而改变生活节奏,以及在更稳定的环境中减少对储备的重视。本文有该论文第一作者的相关第一人称采访。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b425/7044463/fb7fcbfe80de/biolopen-9-046144-g1.jpg

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