代谢热反应规范的个体间差异和个体内差异。

Mansoura Husain, Howard D Rundle, Vincent Careau
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引用次数: 0

摘要

摘要 在外温动物中,温度对新陈代谢率(MR)有很大的影响,但个体之间和个体内部对新陈代谢率的热敏感性的差异程度在很大程度上是未知的。这一点很有意义,因为个体间的显著差异是新陈代谢热敏感性进化的先决条件。在这里,我们通过在两个温度(~24°C 和 ~27°C)下重复测量过夜雄性黑腹果蝇个体(N=316)的MR,估算了MR热敏感性的可重复性(R)。在群体水平上,热敏性随运动活动而降低,年龄较大的个体比年龄较小的个体表现出更高的MR热敏性。考虑到这些影响(和体重),我们发现代谢热反应标准的中心截距(Rint=0.52±0.04)和斜率(Rslp=0.21±0.07)都有显著的重复性,它们分别代表平均 MR 和 MR 的热敏性。此外,当温度从 ~24°C 升高到 ~27°C 时,总体 MR 较高的个体的 MR 也有更大的增加(rind=0.32±0.14)。在个体内部,平均 MR 和 MR 的热敏感性也呈正相关(re=0.15±0.07)。我们的研究为未来更大规模的研究提供了一个起点,在这些研究中,可以采用更复杂的方案(如更宽的温度范围、繁殖设计)来量化热敏性变异的因果成分,这对于准确预测对全球变暖的适应性反应是必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Among- and Within-Individual Variance in Metabolic Thermal Reaction Norms.

AbstractIn ectotherms, temperature has a strong effect on metabolic rate (MR), yet the extent to which the thermal sensitivity of MR varies among versus within individuals is largely unknown. This is of interest because significant among-individual variation is a prerequisite for the evolution of metabolic thermal sensitivity. Here, we estimated the repeatability (R) of the thermal sensitivity of MR in individual virgin, adult male Drosophila melanogaster (N=316) by taking repeated overnight measures of their MRs at two temperatures (~24°C and ~27°C). At the population level, thermal sensitivity decreased with locomotor activity, and older individuals showed a higher thermal sensitivity of MR than younger individuals. Taking these effects (and body mass) into account, we detected significant repeatability in both the centered intercept (Rint=0.52±0.04) and the slope (Rslp=0.21±0.07) of the metabolic thermal reaction norms, which respectively represent average MR and thermal sensitivity of MR. Furthermore, individuals with a higher overall MR also displayed greater increases in MR as temperature increased from ~24°C to ~27°C (rind=0.32±0.14). Average MR and thermal sensitivity of MR were also positively correlated within individuals (re=0.15±0.07). Our study represents a point of departure for future larger studies, in which more complex protocols (e.g., wider temperature range, breeding design) can be applied to quantify the causal components of variation in thermal sensitivity that are needed to make accurate predictions of adaptive responses to global warming.

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