Kempes Christopher P, Wang Lawrence, Amend Jan P, Doyle John, Hoehler Tori
The Santa Fe Institute, Santa Fe, NM, USA.
Control and Dynamical Systems, California Institute of Technology, Pasadena, CA, USA.
ISME J. 2016 Sep;10(9):2145-57. doi: 10.1038/ismej.2016.21. Epub 2016 Apr 5.
One of the most important classic and contemporary interests in biology is the connection between cellular composition and physiological function. Decades of research have allowed us to understand the detailed relationship between various cellular components and processes for individual species, and have uncovered common functionality across diverse species. However, there still remains the need for frameworks that can mechanistically predict the tradeoffs between cellular functions and elucidate and interpret average trends across species. Here we provide a comprehensive analysis of how cellular composition changes across the diversity of bacteria as connected with physiological function and metabolism, spanning five orders of magnitude in body size. We present an analysis of the trends with cell volume that covers shifts in genomic, protein, cellular envelope, RNA and ribosomal content. We show that trends in protein content are more complex than a simple proportionality with the overall genome size, and that the number of ribosomes is simply explained by cross-species shifts in biosynthesis requirements. Furthermore, we show that the largest and smallest bacteria are limited by physical space requirements. At the lower end of size, cell volume is dominated by DNA and protein content-the requirement for which predicts a lower limit on cell size that is in good agreement with the smallest observed bacteria. At the upper end of bacterial size, we have identified a point at which the number of ribosomes required for biosynthesis exceeds available cell volume. Between these limits we are able to discuss systematic and dramatic shifts in cellular composition. Much of our analysis is connected with the basic energetics of cells where we show that the scaling of metabolic rate is surprisingly superlinear with all cellular components.
生物学中一个最重要的经典及当代研究热点是细胞组成与生理功能之间的联系。数十年的研究使我们能够了解单个物种中各种细胞成分与过程之间的详细关系,并揭示了不同物种间的共同功能。然而,仍然需要一些框架,能够从机制上预测细胞功能之间的权衡,并阐明和解释跨物种的平均趋势。在此,我们全面分析了细菌多样性中细胞组成如何随生理功能和代谢而变化,涵盖了五个数量级的菌体大小范围。我们呈现了细胞体积趋势分析,包括基因组、蛋白质、细胞包膜、RNA和核糖体含量的变化。我们表明,蛋白质含量的趋势比与整个基因组大小的简单比例关系更为复杂,核糖体数量可通过跨物种生物合成需求的变化简单解释。此外,我们表明最大和最小的细菌受到物理空间需求的限制。在大小范围的下限,细胞体积主要由DNA和蛋白质含量决定,这一需求预测了细胞大小的下限,与观察到的最小细菌高度吻合。在细菌大小范围的上限,我们确定了一个点,此时生物合成所需的核糖体数量超过了可用的细胞体积。在这些限制之间,我们能够讨论细胞组成的系统性和显著变化。我们的许多分析都与细胞的基本能量学相关,我们表明代谢率与所有细胞成分的缩放关系出人意料地呈现超线性。