Gelfand Mikhail S
Institute for Information Transmission Problems, RAS, Bolshoi Karetny pereulok 19, Moscow, 127994, Russia.
Curr Opin Struct Biol. 2006 Jun;16(3):420-9. doi: 10.1016/j.sbi.2006.04.001. Epub 2006 May 2.
Advances in sequencing and generating high-throughput expression data have created a situation in which it is possible to integrate comparative analysis with genome-wide studies of the structure and function of regulatory systems in model organisms. Recent studies have focused on topological properties and the evolution of regulatory networks. This problem can be addressed on several levels: evolution of binding sites upstream of orthologous or duplicated genes; co-evolution of transcription factors and the DNA motifs that they recognize; expansion, contraction and replacement of regulatory systems; the relationship between co-regulation and co-expression; and, finally, construction of evolutionary models that generate networks with realistic properties. This should eventually lead to the creation of a theory of regulatory evolution with a similar level of detail and understanding to the theory of molecular evolution of protein and DNA sequences.
测序技术和高通量表达数据生成技术的进步创造了一种局面，即有可能将比较分析与模式生物调控系统结构和功能的全基因组研究相结合。最近的研究集中在调控网络的拓扑特性和进化方面。这个问题可以从几个层面来解决：直系同源基因或重复基因上游结合位点的进化；转录因子与其识别的DNA基序的共同进化；调控系统的扩展、收缩和替换；共调控与共表达之间的关系；最后是构建具有现实特性的网络的进化模型。这最终应该会促成一种调控进化理论的创立，其细节和理解程度与蛋白质和DNA序列的分子进化理论相当。
