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一个统一模型,用于估计变温动物在静态、动态和波动热应激暴露下的热耐受极限。

A unifying model to estimate thermal tolerance limits in ectotherms across static, dynamic and fluctuating exposures to thermal stress.

作者信息

Jørgensen Lisa Bjerregaard, Malte Hans, Ørsted Michael, Klahn Nikolaj Andreasen, Overgaard Johannes

机构信息

Zoophysiology, Department of Biology, Aarhus University, 8000, Aarhus C, Denmark.

出版信息

Sci Rep. 2021 Jun 18;11(1):12840. doi: 10.1038/s41598-021-92004-6.

Abstract

Temperature tolerance is critical for defining the fundamental niche of ectotherms and researchers classically use either static (exposure to a constant temperature) or dynamic (ramping temperature) assays to assess tolerance. The use of different methods complicates comparison between studies and here we present a mathematical model (and R-scripts) to reconcile thermal tolerance measures obtained from static and dynamic assays. Our model uses input data from several static or dynamic experiments and is based on the well-supported assumption that thermal injury accumulation rate increases exponentially with temperature (known as a thermal death time curve). The model also assumes thermal stress at different temperatures to be additive and using experiments with Drosophila melanogaster, we validate these central assumptions by demonstrating that heat injury attained at different heat stress intensities and durations is additive. In a separate experiment we demonstrate that our model can accurately describe injury accumulation during fluctuating temperature stress and further we validate the model by successfully converting literature data of ectotherm heat tolerance (both static and dynamic assays) to a single, comparable metric (the temperature tolerated for 1 h). The model presented here has many promising applications for the analysis of ectotherm thermal tolerance and we also discuss potential pitfalls that should be considered and avoided using this model.

摘要

温度耐受性对于界定变温动物的基础生态位至关重要,研究人员传统上使用静态(暴露于恒定温度)或动态(温度递增)试验来评估耐受性。不同方法的使用使得研究之间的比较变得复杂,在此我们提出一个数学模型(以及R脚本),以协调从静态和动态试验中获得的热耐受性测量结果。我们的模型使用来自多个静态或动态实验的输入数据,并基于一个得到充分支持的假设,即热损伤累积速率随温度呈指数增加(称为热死亡时间曲线)。该模型还假定不同温度下的热应激是可加性的,并且通过对黑腹果蝇进行实验,我们通过证明在不同热应激强度和持续时间下所达到的热损伤是可加性的,来验证这些核心假设。在另一个实验中,我们证明我们的模型能够准确描述温度波动应激期间的损伤累积,并且进一步通过成功地将变温动物耐热性的文献数据(静态和动态试验两者)转换为单一的、可比较的指标(1小时可耐受的温度)来验证该模型。这里提出的模型在变温动物热耐受性分析方面有许多有前景的应用,并且我们还讨论了使用该模型时应考虑并避免的潜在陷阱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd38/8213714/6a0f552acda4/41598_2021_92004_Fig1_HTML.jpg

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