当前位置：
X-MOL 学术
›
Biotechnol. Bioeng.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Microbial maintenance energy quantified and modeled with microcalorimetry
Biotechnology and Bioengineering ( IF 3.5 ) Pub Date : 2022-06-09 , DOI: 10.1002/bit.28155 Kristopher A Hunt 1 , Frederick von Netzer 1 , Drew Gorman-Lewis 2 , David A Stahl 1
Biotechnology and Bioengineering ( IF 3.5 ) Pub Date : 2022-06-09 , DOI: 10.1002/bit.28155 Kristopher A Hunt 1 , Frederick von Netzer 1 , Drew Gorman-Lewis 2 , David A Stahl 1
Affiliation
|
Refining the energetic costs of cellular maintenance is essential for predicting microbial growth and survival in the environment. Here, we evaluate a simple batch culture method to quantify energy partitioning between growth and maintenance using microcalorimetry and thermodynamic modeling. The constants derived from the batch culture system were comparable to those that have been reported from meta-analyses of data derived from chemostat studies. The model accurately predicted temperature-dependent biomass yield and the upper temperature limit of growth for Desulfovibrio alaskensis G20, suggesting the method may have broad application. An Arrhenius temperature dependence for the specific energy consumption rate, inferred from substrate consumption and heat evolution, was observed over the entire viable temperature range. By combining this relationship for specific energy consumption rates and observed specific growth rates, the model describes an increase in nongrowth associated maintenance at higher temperatures and the corresponding decrease in energy available for growth. This analytical and thermodynamic formulation suggests that simply monitoring heat evolution in batch culture could be a useful complement to the recognized limitations of estimating maintenance using extrapolation to zero growth in chemostats.
中文翻译：
用微量热法量化和建模微生物维持能量
优化细胞维持的能量成本对于预测微生物在环境中的生长和生存至关重要。在这里，我们评估了一种简单的分批培养方法，使用微量热法和热力学建模来量化生长和维持之间的能量分配。来自分批培养系统的常数与来自恒化器研究的数据的荟萃分析报告的常数相当。该模型准确预测了阿拉斯加脱硫弧菌的温度依赖性生物量产量和生长温度上限G20，表明该方法可能具有广泛的应用。在整个可行的温度范围内观察到特定能量消耗率的 Arrhenius 温度依赖性，从底物消耗和放热推断。通过结合特定能量消耗率和观察到的特定增长率的这种关系，该模型描述了在较高温度下与非生长相关的维持增加以及可用于生长的能量的相应减少。这种分析和热力学公式表明，简单地监测分批培养中的热演化可能是对使用外推到恒化器零增长来估计维护的公认局限性的有用补充。
更新日期：2022-06-09
中文翻译：
用微量热法量化和建模微生物维持能量
优化细胞维持的能量成本对于预测微生物在环境中的生长和生存至关重要。在这里，我们评估了一种简单的分批培养方法，使用微量热法和热力学建模来量化生长和维持之间的能量分配。来自分批培养系统的常数与来自恒化器研究的数据的荟萃分析报告的常数相当。该模型准确预测了阿拉斯加脱硫弧菌的温度依赖性生物量产量和生长温度上限G20，表明该方法可能具有广泛的应用。在整个可行的温度范围内观察到特定能量消耗率的 Arrhenius 温度依赖性，从底物消耗和放热推断。通过结合特定能量消耗率和观察到的特定增长率的这种关系，该模型描述了在较高温度下与非生长相关的维持增加以及可用于生长的能量的相应减少。这种分析和热力学公式表明，简单地监测分批培养中的热演化可能是对使用外推到恒化器零增长来估计维护的公认局限性的有用补充。
京公网安备 11010802027423号