Hietala Katie A, Lynch Miranda L, Allshouse John C, Johns Craig J, Roane Timberley M
University of Colorado at Denver and Health Sciences Center, Department of Biology, Campus Box 171, P.O. Box 173364, CO 80217-3364, USA.
J Basic Microbiol. 2006;46(3):196-202. doi: 10.1002/jobm.200510061.
Microbial growth can be described using models derived by differential equations, but available mathematical models have yet to adequately describe lag phase related cell growth or cell mortality in response to chemical toxicity. Lag phase cell behavior, however, dictates the onset of exponential growth and the number of actively growing cells available to initiate exponential growth, important factors in the success of remediation efforts. In this study, a five-parameter polynomial ratio (PR) model was used to characterize the growth, from lag through stationary phase, of the yeast Saccharomyces cerevisiae in response to cadmium toxicity. The PR model used in this study has the advantages over standard mathematical models in the ability to represent the initial cell mortality observed when S. cerevisiae is exposed to increasing cadmium levels, up to 12 mg/l Cd, as well as following cell recovery and growth to stationary levels.
微生物生长可用由微分方程推导得出的模型来描述,但现有的数学模型尚未充分描述与延迟期相关的细胞生长或细胞对化学毒性的死亡率。然而,延迟期细胞行为决定了指数生长的起始以及可用于启动指数生长的活跃生长细胞数量,这些是修复工作成功的重要因素。在本研究中,使用了一个五参数多项式比率(PR)模型来表征酿酒酵母在镉毒性作用下从延迟期到稳定期的生长情况。本研究中使用的PR模型相对于标准数学模型具有优势,它能够表示酿酒酵母暴露于镉水平不断增加(高达12 mg/l Cd)时观察到的初始细胞死亡率,以及细胞恢复和生长至稳定水平的情况。