Klausmeier C A, Litchman E, Levin S A
W. K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI 49060, USA.
J Theor Biol. 2007 May 21;246(2):278-89. doi: 10.1016/j.jtbi.2006.12.032. Epub 2007 Jan 10.
Microbes require multiple essential elements that they acquire from the environment independently. Here we investigate how microbial stoichiometry and uptake rates depend on the conditions in which they grow. We modify a recent model of growth based on a multinutrient extension of the Droop model to allow a trade-off between ability to acquire two essential resources. In a static analysis, we show that the optimal allocation strategy is the one that results in co-limitation by both nutrients. We then add a dynamic equation to model the physiological acclimation uptake rates in changing conditions. This dynamic model predicts that the response of organismal stoichiometry to nutrient supply ratio can vary over time. The response of organismal stoichiometry and growth rate to a nutrient pulse depends on the speed at which cells adapt their uptake rates. In a variable environment, very fast or very slow acclimation may be better strategies than intermediate speed acclimation. We suggest experimental tests of the model and avenues for future model development.
微生物需要从环境中独立获取多种必需元素。在此,我们研究微生物的化学计量和摄取速率如何取决于它们生长的条件。我们基于Droop模型的多营养素扩展修改了一个近期的生长模型,以允许在获取两种必需资源的能力之间进行权衡。在静态分析中,我们表明最优分配策略是导致两种营养素共同限制的策略。然后,我们添加一个动态方程来模拟在变化条件下的生理适应摄取速率。这个动态模型预测,生物体化学计量对营养供应比的响应可能会随时间变化。生物体化学计量和生长速率对营养脉冲的响应取决于细胞调整其摄取速率的速度。在可变环境中,非常快或非常慢的适应可能比中等速度的适应更好。我们建议对该模型进行实验测试以及未来模型开发的途径。