首页> 外文期刊>The European physical journal, E. Soft matter >Stationary cell size distributions and mean protein chain length distributions of Archaea, Bacteria and Eukaryotes described with an increment model in terms of irreversible thermodynamics
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Stationary cell size distributions and mean protein chain length distributions of Archaea, Bacteria and Eukaryotes described with an increment model in terms of irreversible thermodynamics

机译:用不可逆热力学增量模型描述古细菌,细菌和真核生物的固定细胞大小分布和平均蛋白链长分布

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摘要

In terms of an increment model irreversible thermodynamics allows to formulate general relations of stationary cell size distributions observed in growing colonies. The treatment is based on the following key postulates: i) The growth dynamics covers a broad spectrum of fast and slow processes. ii) Slow processes are considered to install structural patterns that operate in short periods as temporary stationary states of reference in the sense of irreversible thermodynamics. iii) Distortion during growth is balanced out via the many fast processes until an optimized stationary state is achieved. The relation deduced identifies the numerous different stationary patterns as equivalents, predicting that they should fall on one master curve. Stationary cell size distributions of different cell types, like Hyperphilic archaea, E. coli (Prokaryotes) and S. cerevisiae (Eukaryotes), altogether taken from the literature, are in fact consistently described. As demanded by the model they agree together with the same master curve. Considering the "protein factories" as subsystems of cells the mean protein chain length distributions deduced from completely sequenced genomes should be optimized. In fact, the mean course can be described with analogous relations as used above. Moreover, the master curve fits well to the patterns of different species of Archaea, Bacteria and Eukaryotes. General consequences are discussed.
机译:根据增量模型,不可逆的热力学可以用来描述在生长的菌落中观察到的静止细胞大小分布的一般关系。该处理基于以下关键假设:i)生长动力学涵盖了快速和慢速过程的广泛范围。 ii)在不可逆的热力学意义上,缓慢的过程被认为是安装在短期内作为暂时的固定参考状态运行的结构模式。 iii)生长过程中的失真通过许多快速过程得到平衡,直到达到最佳的静止状态为止。推导的关系将众多不同的静止模式识别为等效项,并预测它们应落在一条主曲线上。实际上一贯地描述了从文献中得出的不同细胞类型的固定细胞大小分布,例如高嗜性古生菌,大肠杆菌(原核生物)和酿酒酵母(真核生物)。根据模型的要求,它们与同一主曲线一致。考虑到“蛋白质工厂”作为细胞的子系统,应该优化从完全测序的基因组推导的平均蛋白质链长度分布。实际上,可以用与上面所使用的类似关系来描述平均过程。此外,主曲线非常适合古细菌,细菌和真核生物的不同物种的模式。讨论了一般后果。

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