Noel Jason T, Narang Atul
Department of Chemical Engineering, University of Florida, Gainesville, FL 32611-6005, USA.
Bull Math Biol. 2009 Feb;71(2):453-514. doi: 10.1007/s11538-008-9369-3. Epub 2008 Dec 9.
During batch growth on mixtures of two growth-limiting substrates, microbes consume the substrates either sequentially (diauxie) or simultaneously. The ubiquity of these growth patterns suggests that they may be driven by a universal mechanism common to all microbial species. Recently, we showed that a minimal model accounting only for enzyme induction and dilution, the two processes that occur in all microbes, explains the phenotypes observed in batch cultures of various wild-type and mutant/recombinant cells (Narang and Pilyugin in J. Theor. Biol. 244:326-348, 2007). Here, we examine the extension of the minimal model to continuous cultures. We show that: (1) Several enzymatic trends, attributed entirely to cross-regulatory mechanisms, such as catabolite repression and inducer exclusion, can be quantitatively explained by enzyme dilution. (2) The bifurcation diagram of the minimal model for continuous cultures, which classifies the substrate consumption pattern at any given dilution rate and feed concentrations, provides a precise explanation for the empirically observed correlations between the growth patterns in batch and continuous cultures. (3) Numerical simulations of the model are in excellent agreement with the data. The model captures the variation of the steady state substrate concentrations, cell densities, and enzyme levels during the single- and mixed-substrate growth of bacteria and yeasts at various dilution rates and feed concentrations. This variation is well approximated by simple analytical expressions that furnish deep physical insights. (4) Since the minimal model describes the behavior of the cells in the absence of cross-regulatory mechanisms, it provides a rigorous framework for quantifying the effect of these mechanisms. We illustrate this by analyzing several data sets from the literature.
在两种生长限制底物混合物上进行分批培养时,微生物要么顺序消耗底物(二次生长),要么同时消耗。这些生长模式的普遍性表明,它们可能由所有微生物物种共有的通用机制驱动。最近,我们表明,一个仅考虑酶诱导和稀释这两个所有微生物都会发生的过程的最小模型,能够解释在各种野生型和突变体/重组细胞的分批培养中观察到的表型(Narang和Pilyugin,《理论生物学杂志》244:326 - 348,2007年)。在此,我们研究最小模型对连续培养的扩展。我们表明:(1)一些完全归因于交叉调节机制(如分解代谢物阻遏和诱导剂排除)的酶促趋势,可以通过酶稀释进行定量解释。(2)连续培养最小模型的分岔图,它在任何给定的稀释率和进料浓度下对底物消耗模式进行分类,为分批和连续培养中生长模式之间的经验观察到的相关性提供了精确解释。(3)模型的数值模拟与数据高度吻合。该模型捕捉了细菌和酵母在各种稀释率和进料浓度下单一底物和混合底物生长过程中稳态底物浓度、细胞密度和酶水平的变化。这种变化可以通过提供深刻物理见解的简单解析表达式很好地近似。(4)由于最小模型描述了在没有交叉调节机制时细胞的行为,它为量化这些机制的影响提供了一个严格的框架。我们通过分析文献中的几个数据集来说明这一点。