IceLab, Department of Physics, Umeå University, Umeå, Sweden.
PLoS One. 2011 May 6;6(5):e19759. doi: 10.1371/journal.pone.0019759.
The metabolism is the motor behind the biological complexity of an organism. One problem of characterizing its large-scale structure is that it is hard to know what to compare it to. All chemical reaction systems are shaped by the same physics that gives molecules their stability and affinity to react. These fundamental factors cannot be captured by standard null-models based on randomization. The unique property of organismal metabolism is that it is controlled, to some extent, by an enzymatic machinery that is subject to evolution. In this paper, we explore the possibility that reaction systems of planetary atmospheres can serve as a null-model against which we can define metabolic structure and trace the influence of evolution. We find that the two types of data can be distinguished by their respective degree distributions. This is especially clear when looking at the degree distribution of the reaction network (of reaction connected to each other if they involve the same molecular species). For the Earth's atmospheric network and the human metabolic network, we look into more detail for an underlying explanation of this deviation. However, we cannot pinpoint a single cause of the difference, rather there are several concurrent factors. By examining quantities relating to the modular-functional organization of the metabolism, we confirm that metabolic networks have a more complex modular organization than the atmospheric networks, but not much more. We interpret the more variegated modular arrangement of metabolism as a trace of evolved functionality. On the other hand, it is quite remarkable how similar the structures of these two types of networks are, which emphasizes that the constraints from the chemical properties of the molecules has a larger influence in shaping the reaction system than does natural selection.
新陈代谢是生物体生物复杂性的动力。描述其大规模结构的一个问题是,很难知道要与之进行比较的是什么。所有的化学反应系统都受到相同物理规律的影响,这些物理规律赋予了分子的稳定性和反应亲和力。这些基本因素无法通过基于随机化的标准零模型来捕捉。生物体新陈代谢的独特之处在于,它在一定程度上受到进化所支配的酶机制的控制。在本文中,我们探讨了行星大气中的反应系统是否可以作为零模型的可能性,我们可以用它来定义代谢结构并追踪进化的影响。我们发现,这两种类型的数据可以通过各自的度分布来区分。当观察反应网络的度分布(如果涉及相同的分子物种,则彼此连接的反应)时,这种情况尤其明显。对于地球大气网络和人类代谢网络,我们更详细地研究了这种偏差的潜在解释。然而,我们无法确定造成这种差异的单一原因,而是有几个并发因素。通过检查与代谢功能模块化组织相关的数量,我们证实代谢网络的模块化组织比大气网络更复杂,但也复杂不了多少。我们将代谢的模块化排列更具多样性解释为进化功能的痕迹。另一方面,这两种类型的网络结构非常相似,这令人相当惊讶,这强调了分子化学性质的约束在塑造反应系统方面的影响比自然选择更大。