深入了解噪音与生物复杂性之间的关系
Insights into the relation between noise and biological complexity
摘要：
了解在何种条件下系统复杂性的增加是进化上有利的，以及这种趋势如何与内在噪声的调制有关，是合成和系统生物学最重要的迷人问题。为了深入了解这些问题，我们分析了具有不同拓扑结构和复杂程度的化学反应网络，无论是否与环境相互作用。我们发现，在稳定状态下的波动的全球水平，作为衡量的所有物种的分子数量的法诺因子的总和，是直接相关的网络的拓扑结构。对于零亏损的系统，这个和是常数，等于网络的秩。对于更高的缺陷，我们观察到的波动水平的增加或减少，根据连接内部物种的反应通量的值，乘以相关的化学计量。我们发现，当通量都流向复杂度较高的物种时，噪声会减少，而当通量流向复杂度较低的物种时，噪声会被放大。
英文摘要：
Understanding under which conditions the increase of systems complexity is evolutionary advantageous, and how this trend is related to the modulation of the intrinsic noise, are fascinating issues of utmost importance for synthetic and systems biology. To get insights into these matters, we analyzed chemical reaction networks with different topologies and degrees of complexity, interacting or not with the environment. We showed that the global level of fluctuations at the steady state, as measured by the sum of the Fano factors of the number of molecules of all species, is directly related to the topology of the network. For systems with zero deficiency, this sum is constant and equal to the rank of the network. For higher deficiencies, we observed an increase or decrease of the fluctuation levels according to the values of the reaction fluxes that link internal species, multiplied by the associated stoichiometry. We showed that the noise is reduced when the fluxes all flow towards the species of higher complexity, whereas it is amplified when the fluxes are directed towards lower complexity species.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
