Gibson Todd A, Goldberg Debra S
Computational Bioscience Program, University of Colorado Denver, CO, USA.
Pac Symp Biocomput. 2009:190-202.
Protein interaction network analyses have moved beyond simple topological observations to functional and evolutionary inferences based on the construction of putative ancestral networks. Evolutionary studies of protein interaction networks are generally derived from network comparisons, are limited in scope, or are theoretic dynamic models that aren't contextualized to an organism's specific genes. A biologically faithful network evolution reconstruction which ties evolution of the network itself to the actual genes of an organism would help fill in the evolutionary gaps between the gene network "snapshots" of evolution we have from different species today. Here we present a novel framework for reverse engineering the evolution of protein interaction networks of extant species using phylogenetic gene trees and protein interaction data. We applied the framework to Saccharomyces cerevisiae data and present topological trends in the evolutionary lineage of yeast.
蛋白质相互作用网络分析已从简单的拓扑观察发展到基于推测祖先网络构建的功能和进化推断。蛋白质相互作用网络的进化研究通常源于网络比较,范围有限,或者是未根据生物体特定基因进行情境化的理论动态模型。将网络本身的进化与生物体的实际基因联系起来的生物学忠实网络进化重建,将有助于填补我们今天从不同物种获得的基因网络进化“快照”之间的进化空白。在这里,我们提出了一个新颖的框架,用于利用系统发育基因树和蛋白质相互作用数据对现存物种的蛋白质相互作用网络进化进行逆向工程。我们将该框架应用于酿酒酵母数据,并展示了酵母进化谱系中的拓扑趋势。