Emergent trade-offs among plasticity strategies in mixotrophs

IF 1.9 4区 数学 Q2 BIOLOGY Journal of Theoretical Biology Pub Date : 2024-08-07 Epub Date: 2024-05-17 DOI:10.1016/j.jtbi.2024.111854
Kevin M. Archibald , Stephanie Dutkiewicz , Charlotte Laufkötter , Holly V. Moeller
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Abstract

Marine mixotrophs combine phagotrophy and phototrophy to acquire the resources they need for growth. Metabolic plasticity, the ability for individuals to dynamically alter their relative investment between different metabolic processes, allows mixotrophs to efficiently exploit variable environmental conditions. Different mixotrophs may vary in how quickly they respond to environmental stimuli, with slow-responding mixotrophs exhibiting a significant lag between a change in the environment and the resulting change metabolic strategy. In this study, we develop a model of mixotroph metabolic strategy and explore how the rate of the plastic response affects the seasonality, competitive fitness, and biogeochemical role of mixotroph populations. Fast-responding mixotrophs are characterized by more efficient resource use and higher average growth rates than slow-responding mixotrophs because any lag in the plastic response following a change in environmental conditions creates a mismatch between the mixotroph’s metabolic requirements and their resource acquisition. However, this mismatch also results in increased storage of unused resources that support growth under future nutrient-limited conditions. As a result of this trade-off, mixotroph biomass and productivity are maximized at intermediate plastic response rates. Furthermore, the trade-off represents a mechanism for coexistence between fast-responding and slow-responding mixotrophs. In mixed communities, fast-responding mixotrophs are numerically dominant, but slow-responding mixotrophs persist at low abundance due to the provisioning effect that emerges as a result of their less efficient resource acquisition strategy. In addition to increased competitive ability, fast-responding mixotrophs are, on average, more autotrophic than slow-responding mixotrophs. Notably, these trade-offs associated with mixotroph response rate arise without including an explicit physiological cost associated with plasticity, a conclusion that may provide insight into evolutionary constraints of metabolic plasticity in mixotrophic organisms. When an explicit cost is added to the model, it alters the competitive relationships between fast- and slow-responding mixotrophs. Faster plastic response rates are favored by lower physiological costs as well as higher amplitude seasonal cycles.

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混养生物可塑性策略之间的新权衡
海洋混养生物将吞噬作用和光营养结合起来,以获取生长所需的资源。代谢可塑性是指个体动态改变其在不同代谢过程之间的相对投资的能力,它使混养生物能够有效地利用多变的环境条件。不同的混养生物对环境刺激的反应速度可能不同,反应慢的混养生物在环境变化与代谢策略变化之间表现出明显的滞后性。在本研究中,我们建立了一个混养生物代谢策略模型,并探讨了可塑性响应的速度如何影响混养生物种群的季节性、竞争适应性和生物地球化学作用。快速反应的混养生物比缓慢反应的混养生物具有更高效的资源利用和更高的平均生长率,因为环境条件变化后塑性反应的任何滞后都会造成混养生物的代谢需求与其资源获取之间的不匹配。然而,这种不匹配也会导致未使用资源的储存量增加,从而在未来营养受限的条件下支持生长。由于这种权衡,混养生物的生物量和生产力在中等塑性反应速率下达到最大。此外,这种权衡还代表了快速反应和慢速反应混养生物之间的共存机制。在混合群落中,快速反应的混养生物在数量上占优势,但慢速反应的混养生物由于其资源获取策略效率较低而产生的供应效应,导致其丰度持续较低。除了提高竞争能力外,快速反应的混养生物平均比慢速反应的混养生物自养能力更强。值得注意的是,这些与混养反应速度相关的权衡是在不包括与可塑性相关的明确生理成本的情况下产生的,这一结论可能有助于深入了解混养生物代谢可塑性的进化限制。如果在模型中加入明确的成本,就会改变反应快和反应慢的混养生物之间的竞争关系。较低的生理成本和较高幅度的季节周期有利于较快的可塑性反应速率。
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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