Modeling Growth of Pseudomonas Aeruginosa Single Cells with Temperature Shifts

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• 作者：Xin Wang ; Qingli Dong ; Yangtai Liu ; Yujiao Shi ; Xiaoyu Song and Qing Liu
• 刊名：Journal of Food Safety
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：36
• 期：4
• 页码：442-449
• 全文大小：400K
• ISSN：1745-4565

文摘

In this article, a single-cell growth and imaging system was used to study how the growth of single cells of Pseudomonas aeruginosa was affected by temperature shifts. An individual-based modeling was conducted to predict the growth of bacterial single cells. We found that shifts to lower temperatures lengthened the division times of P. aeruginosa single cells, whereas shifts to higher temperature caused a rapid shortening of the division times. The coefficient of variation of the division time decreased as the magnitude of the temperature shifts increased which suggested that the variability of the growth of single P. aeruginosa cells was increased with bigger temperature shifts. Furthermore, the individual-based modeling proposed in this study turned out to be a useful way for predicting the stochastic growth of single bacterial cells under nonconstant temperature conditions.