Tan Chris Soon Heng, Pasculescu Adrian, Lim Wendell A, Pawson Tony, Bader Gary D, Linding Rune
Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto M5G 1X5, Canada.
Science. 2009 Sep 25;325(5948):1686-8. doi: 10.1126/science.1174301. Epub 2009 Jul 9.
John Nash showed that within a complex system, individuals are best off if they make the best decision that they can, taking into account the decisions of the other individuals. Here, we investigate whether similar principles influence the evolution of signaling networks in multicellular animals. Specifically, by analyzing a set of metazoan species we observed a striking negative correlation of genomically encoded tyrosine content with biological complexity (as measured by the number of cell types in each organism). We discuss how this observed tyrosine loss correlates with the expansion of tyrosine kinases in the evolution of the metazoan lineage and how it may relate to the optimization of signaling systems in multicellular animals. We propose that this phenomenon illustrates genome-wide adaptive evolution to accommodate beneficial genetic perturbation.
约翰·纳什表明,在一个复杂系统中,如果个体在考虑其他个体决策的情况下做出其所能做出的最佳决策,那么他们的状况会是最好的。在此,我们研究类似的原则是否会影响多细胞动物信号网络的进化。具体而言,通过分析一组后生动物物种,我们观察到基因组编码的酪氨酸含量与生物复杂性(以每个生物体中的细胞类型数量来衡量)之间存在显著的负相关。我们讨论了这种观察到的酪氨酸减少如何与后生动物谱系进化中酪氨酸激酶的扩张相关,以及它可能如何与多细胞动物信号系统的优化相关。我们提出,这一现象说明了全基因组适应性进化以适应有益的基因扰动。