Department of Mathematics and Program in Applied Mathematical & Computational Sciences, University of Iowa, Iowa City, IA 52242-1419, United States.
J Theor Biol. 2012 Jan 21;293:34-40. doi: 10.1016/j.jtbi.2011.10.003. Epub 2011 Oct 8.
We present models and computational studies of dormancy in batch cultures to try to understand the relationship between reculturing time and death penalty for low substrate and the relative advantage of fast versus slow reawakening on the part of the bacteria. We find that the advantage goes to the faster waker for shorter reculturing times and lower mortality under low substrate, and moves to the slower waker as reculturing times and death penalty increase. The advantage returns again to the fast waker for very high death penalties. We use an explicit, continuous structure variable to represent dormancy so as to allow for flexibility in substrate usage on the part of dormant cells, and for a more mechanistic representation of the reawakening process.
我们提出了分批培养中休眠的模型和计算研究，试图了解再培养时间与低基质死刑之间的关系，以及细菌快速与缓慢重新觉醒的相对优势。我们发现，在较短的再培养时间和低基质下，快速觉醒者的优势更大，死亡率更低，而随着再培养时间和死亡率的增加，优势则转移到缓慢觉醒者。在非常高的死亡率下，优势再次回到快速觉醒者。我们使用显式、连续的结构变量来表示休眠，以便为休眠细胞的基质利用提供灵活性，并为重新觉醒过程提供更机械的表示。
