Individual-based modelling of bacterial cultures to study the microscopic causes of the lag phase
Individual-based modelling of bacterial cultures to study the microscopic causes of the lag phase
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DOI：
10.1016/j.jtbi.2006.01.029
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发表时间：
2006-08-21
影响因子：
2
通讯作者：
Valls, Joaquim
中科院分区：
文献类型：
--
作者：
Prats, Clara;Lopez, Daniel;Valls, Joaquim
多年来，人们对滞后阶段进行了广泛的研究，以努力为改善食品安全做出贡献。几位作者已经建立了许多分析模型并进行了测试。基于个体的建模(IBM)的使用使我们能够更深入地探讨单个细胞的行为；它在需要时是理论和实验之间的桥梁。独立离散模拟(INDISIM)是由我们的团队开发并编码为IBM模拟器，用于研究细菌生长，包括滞后阶段的微观原因。首先，细胞质量的演化，特别是平均质量和生物量分布，被证明是指数阶段开始时的一个决定因素。其次，每当需要一种酶的合成时，它的速度直接影响滞后时间。研究了滞后期随不同因素的变化规律。在模拟中还观察到随着温度的升高，滞后阶段的减少。作为对已发表的研究的补充，对个体滞后阶段和集体滞后阶段之间的关系进行了初步的研究。一个重要的结果是个体滞后时间和世代时间的变异性。我们还发现，个体滞后的平均值大于群体滞后。这是我们正在进行的一系列滞后阶段研究中的第一个。因此，本工作通过做出一组简单的假设来解决一个通用系统。(C)2006爱思唯尔有限公司。保留所有权利。
The lag phase has been widely studied for years in an effort to contribute to the improvement of food safety. Many analytical models have been built and tested by several authors. The use of Individual-based Modelling (ibM) allows us to probe deeper into the behaviour of individual cells; it is a bridge between theories and experiments when needed.INDividual DIScrete SIMulation (INDISIM) has been developed and coded by our group as an IbM simulator and used to study bacterial growth, including the microscopic causes of the lag phase. First of all, the evolution of cellular masses, specifically the mean mass and biomass distribution, is shown to be a determining factor in the beginning of the exponential phase. Secondly, whenever there is a need for an enzyme synthesis, its rate has a direct effect on the lag duration. The variability of the lag phase with different factors is also studied. The known decrease of the lag phase with an increase in the temperature is also observed in the simulations.An initial study of the relationship between individual and collective lag phases is presented, as a complement to the studies already published. One important result is the variability of the individual lag times and generation times. It has also been found that the mean of the individual lags is greater than the population lag.This is the first in a series of studies of the lag phase that we are carrying out. Therefore, the present work addresses a generic system by making a simple set of assumptions. (c) 2006 Elsevier Ltd. All rights reserved.