董庆利,王 忻,丁 甜,刘 箐,刘阳泰.铜绿假单胞菌单细胞与群体细胞生长规律模拟与验证[J].农业机械学报,2014,45(9):204-209.
Dong Qingli,Wang Xin,Ding Tian,Liu Qing,Liu Yangtai.Growth of Pseudomonas Aeruginosa Single Cells and Cell Colonies[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(9):204-209.
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铜绿假单胞菌单细胞与群体细胞生长规律模拟与验证   [下载全文]
Growth of Pseudomonas Aeruginosa Single Cells and Cell Colonies   [Download Pdf][in English]
投稿时间:2013-09-02  
DOI:10.6041/j.issn.1000-1298.2014.09.033
中文关键词:  铜绿假单胞菌 单细胞 迟滞期 流动成像系统 预测微生物学
基金项目:国家自然科学基金资助项目(31271896、31371776)、上海市自然科学基金资助项目(12ZR1420500)和浙江省自然科学基金资助项目(LQ13C200001)
作者单位
董庆利 上海理工大学 
王 忻 上海理工大学 
丁 甜 浙江大学 
刘 箐 上海理工大学 
刘阳泰 上海理工大学 
中文摘要:采用单细胞生长流动成像系统,观测并探究铜绿假单胞菌单细胞生长规律,运用随机建模的方法构建单细胞与群体细胞之间的关系,模拟铜绿假单胞菌群体细胞的生长并进行验证。同时,通过多次模拟实验来探究不同初始接菌量对铜绿假单胞菌细胞生长迟滞期的影响。结果表明,在25℃和35℃条件下,模拟曲线基本能够呈现实际测得群体细胞生长的趋势,模拟方法可以用来实现对群体细胞生长的预测。同时,对初始接菌量为0、1、2、4、8、16和100个/mL的铜绿假单胞菌生长进行多次模拟表明,在25℃和35℃下,其生长迟滞时间随初始接菌量的增大分别由12.52h降低为6.33h,由8.61h降低为4.01h。通过单细胞水平模拟群体细胞生长过程,能够更加明显地体现出细菌细胞生长过程中的不确定性与变异性,为深入研究细菌细胞生长迟滞现象以及准确预测微生物的生长提供借鉴。
Dong Qingli  Wang Xin  Ding Tian  Liu Qing  Liu Yangtai
University of Shanghai for Science and Technology;University of Shanghai for Science and Technology;Zhejiang University;University of Shanghai for Science and Technology;University of Shanghai for Science and Technology
Key Words:Pseudomonas AeruginosaSingle cell Lag time Flow chamber image system Predictive microbiology
Abstract:A flow chamber image system was used to study the single cell growth of Pseudomonas Aeruginosa. A stochastic modeling process was applied to connect the growth of P. Aeruginosa single cells and cell colonies, and made it possible to simulate the population growth of P. Aeruginosa. Experimental bacteria growth viable counts using different initial inoculum sizes were detected to validate the simulation process. Meanwhile, many simulations were carried out to verify the effect of inoculum size on the lag time of P. Aeruginosa. The results indicate that the agreement between simulations and viable counts is good at both 25℃ and 35℃ and the simulation process can be one of methods for predicting the population growth of P. Aeruginosa. Through many simulations, it demonstrates that the lag time decreased from 12.52h to 6.33h at 25℃ and 8.61h to 4.01h at 35℃ as the initial inoculum size increased from 0CFU/mL to 100CFU/mL. The uncertainty and variability in bacteria cell growth are shown clearly in the simulation process. Also this method can be used as a reference to predict bacterial population growth and to study the lag behavior of microorganism.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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