Maino James L, Kearney Michael R
School of BioSciences, The University of Melbourne, Melbourne, Victoria 3010, Australia
School of BioSciences, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Proc Biol Sci. 2015 Nov 22;282(1819). doi: 10.1098/rspb.2015.1973.
Insects are typified by their small size, large numbers, impressive reproductive output and rapid growth. However, insect growth is not simply rapid; rather, insects follow a qualitatively distinct trajectory to many other animals. Here we present a mechanistic growth model for insects and show that increasing specific assimilation during the growth phase can explain the near-exponential growth trajectory of insects. The presented model is tested against growth data on 50 insects, and compared against other mechanistic growth models. Unlike the other mechanistic models, our growth model predicts energy reserves per biomass to increase with age, which implies a higher production efficiency and energy density of biomass in later instars. These predictions are tested against data compiled from the literature whereby it is confirmed that insects increase their production efficiency (by 24 percentage points) and energy density (by 4 J mg(-1)) between hatching and the attainment of full size. The model suggests that insects achieve greater production efficiencies and enhanced growth rates by increasing specific assimilation and increasing energy reserves per biomass, which are less costly to maintain than structural biomass. Our findings illustrate how the explanatory and predictive power of mechanistic growth models comes from their grounding in underlying biological processes.
昆虫的典型特征是体型小、数量多、繁殖能力强以及生长迅速。然而,昆虫的生长并非仅仅是速度快;相反,与许多其他动物相比,昆虫遵循着一种质上截然不同的生长轨迹。在此,我们提出了一种昆虫生长的机制模型,并表明在生长阶段增加特定同化作用可以解释昆虫近乎指数式的生长轨迹。所提出的模型针对50种昆虫的生长数据进行了测试,并与其他机制模型进行了比较。与其他机制模型不同,我们的生长模型预测单位生物量的能量储备会随着年龄增长而增加,这意味着在后期龄期生物量具有更高的生产效率和能量密度。这些预测通过对从文献中收集的数据进行测试得到了证实,即昆虫在孵化到达到完全体型之间,其生产效率提高了24个百分点,能量密度提高了4 J mg⁻¹。该模型表明,昆虫通过增加特定同化作用以及增加单位生物量的能量储备来实现更高的生产效率和更快的生长速度,与结构性生物量相比,维持这些能量储备的成本更低。我们的研究结果说明了机制生长模型的解释力和预测力是如何源于其对潜在生物学过程的依据。