Alves Rui, Chaleil Raphael A G, Sternberg Michael J E
Department of Biological Sciences, Structural Bioinformatics Group, Biochemistry Building, Imperial College of Science, Technology and Medicine, London SW7 2AZ, UK.
J Mol Biol. 2002 Jul 19;320(4):751-70. doi: 10.1016/s0022-2836(02)00546-6.
Several models have been proposed to explain the origin and evolution of enzymes in metabolic pathways. Initially, the retro-evolution model proposed that, as enzymes at the end of pathways depleted their substrates in the primordial soup, there was a pressure for earlier enzymes in pathways to be created, using the later ones as initial template, in order to replenish the pools of depleted metabolites. Later, the recruitment model proposed that initial templates from other pathways could be used as long as those enzymes were similar in chemistry or substrate specificity. These two models have dominated recent studies of enzyme evolution. These studies are constrained by either the small scale of the study or the artificial restrictions imposed by pathway definitions. Here, a network approach is used to study enzyme evolution in fully sequenced genomes, thus removing both constraints. We find that homologous pairs of enzymes are roughly twice as likely to have evolved from enzymes that are less than three steps away from each other in the reaction network than pairs of non-homologous enzymes. These results, together with the conservation of the type of chemical reaction catalyzed by evolutionarily related enzymes, suggest that functional blocks of similar chemistry have evolved within metabolic networks. One possible explanation for these observations is that this local evolution phenomenon is likely to cause less global physiological disruptions in metabolism than evolution of enzymes from other enzymes that are distant from them in the metabolic network.
已经提出了几种模型来解释代谢途径中酶的起源和进化。最初,逆向进化模型提出,随着途径末端的酶在原始汤中耗尽其底物,途径中早期的酶就会面临压力,需要以后期的酶为初始模板来生成,以便补充耗尽的代谢物库。后来,招募模型提出,只要其他途径的初始模板在化学性质或底物特异性方面相似,就可以被使用。这两种模型主导了最近关于酶进化的研究。这些研究要么受到研究规模小的限制,要么受到途径定义所施加的人为限制。在这里,使用一种网络方法来研究全基因组测序中的酶进化,从而消除这两个限制。我们发现,在反应网络中,同源酶对从彼此距离不到三步的酶进化而来的可能性大约是非同源酶对的两倍。这些结果,连同进化相关酶催化的化学反应类型的保守性,表明相似化学性质的功能模块在代谢网络中已经进化。对这些观察结果的一种可能解释是,与代谢网络中距离较远的其他酶进化相比,这种局部进化现象在代谢中可能导致较少的全局生理干扰。