Pedit Joseph A, Marx Randall B, Miller Cass T, Aitken Michael D
Department of Environmental Sciences and Engineering, School of Public Health, CB 7431, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA.
Biotechnol Bioeng. 2002 Jun 20;78(6):626-34. doi: 10.1002/bit.10244.
A mathematical model was developed to quantify chemotaxis to naphthalene by Pseudomonas putida G7 (PpG7) and its influence on naphthalene degradation. The model was first used to estimate the three transport parameters (coefficients for naphthalene diffusion, random motility, and chemotactic sensitivity) by fitting it to experimental data on naphthalene removal from a discrete source in an aqueous system. The best-fit value of naphthalene diffusivity was close to the value estimated from molecular properties with the Wilke-Chang equation. Simulations applied to a non-chemotactic mutant strain only fit the experimental data well if random motility was negligible, suggesting that motility may be lost rapidly in the absence of substrate or that gravity may influence net random motion in a vertically oriented experimental system. For the chemotactic wild-type strain, random motility and gravity were predicted to have a negligible impact on naphthalene removal relative to the impact of chemotaxis. Based on simulations using the best-fit value of the chemotactic sensitivity coefficient, initial cell concentrations for a non-chemotactic strain would have to be several orders of magnitude higher than for a chemotactic strain to achieve similar rates of naphthalene removal under the experimental conditions we evaluated. The model was also applied to an experimental system representing an adaptation of the conventional capillary assay to evaluate chemotaxis in porous media. Our analysis suggests that it may be possible to quantify chemotaxis in porous media systems by simply adjusting the model's transport parameters to account for tortuosity, as has been suggested by others.
开发了一个数学模型,用于量化恶臭假单胞菌G7(PpG7)对萘的趋化作用及其对萘降解的影响。该模型首先通过将其与水体系中离散源萘去除的实验数据拟合,来估计三个传输参数(萘扩散系数、随机运动系数和趋化敏感性系数)。萘扩散率的最佳拟合值接近用Wilke-Chang方程从分子性质估计的值。应用于非趋化突变菌株的模拟仅在随机运动可忽略不计时才能很好地拟合实验数据,这表明在没有底物的情况下运动性可能会迅速丧失,或者重力可能会影响垂直定向实验系统中的净随机运动。对于趋化野生型菌株,相对于趋化作用的影响,预计随机运动和重力对萘去除的影响可忽略不计。基于使用趋化敏感性系数最佳拟合值的模拟,在我们评估的实验条件下,非趋化菌株的初始细胞浓度必须比趋化菌株高几个数量级才能实现相似的萘去除率。该模型还应用于一个实验系统,该系统代表了对传统毛细管测定法的改进,以评估多孔介质中的趋化作用。我们的分析表明,正如其他人所建议的那样,通过简单地调整模型的传输参数以考虑曲折度,有可能量化多孔介质系统中的趋化作用。