Light Sara, Kraulis Per
Stockholm Bioinformatics Center, Department of Biochemistry and Biophysics, Stockholm Center for Physics, Astronomy and Biotechnology, Stockholm University, Stockholm SE-10691, Sweden.
BMC Bioinformatics. 2004 Feb 18;5:15. doi: 10.1186/1471-2105-5-15.
The two most common models for the evolution of metabolism are the patchwork evolution model, where enzymes are thought to diverge from broad to narrow substrate specificity, and the retrograde evolution model, according to which enzymes evolve in response to substrate depletion. Analysis of the distribution of homologous enzyme pairs in the metabolic network can shed light on the respective importance of the two models. We here investigate the evolution of the metabolism in E. coli viewed as a single network using EcoCyc.
Sequence comparison between all enzyme pairs was performed and the minimal path length (MPL) between all enzyme pairs was determined. We find a strong over-representation of homologous enzymes at MPL 1. We show that the functionally similar and functionally undetermined enzyme pairs are responsible for most of the over-representation of homologous enzyme pairs at MPL 1.
The retrograde evolution model predicts that homologous enzymes pairs are at short metabolic distances from each other. In general agreement with previous studies we find that homologous enzymes occur close to each other in the network more often than expected by chance, which lends some support to the retrograde evolution model. However, we show that the homologous enzyme pairs which may have evolved through retrograde evolution, namely the pairs that are functionally dissimilar, show a weaker over-representation at MPL 1 than the functionally similar enzyme pairs. Our study indicates that, while the retrograde evolution model may have played a small part, the patchwork evolution model is the predominant process of metabolic enzyme evolution.
新陈代谢进化的两种最常见模型是拼凑进化模型,该模型认为酶的底物特异性从宽泛向狭窄方向分化;以及逆行进化模型,根据该模型,酶会因底物耗尽而进化。分析代谢网络中同源酶对的分布有助于了解这两种模型各自的重要性。我们在此使用EcoCyc将大肠杆菌的新陈代谢视为一个单一网络来研究其进化。
对所有酶对进行了序列比较,并确定了所有酶对之间的最小路径长度(MPL)。我们发现MPL为1时同源酶的数量显著过多。我们表明,功能相似和功能未确定的酶对是MPL为1时同源酶对数量过多的主要原因。
逆行进化模型预测同源酶对在代谢距离上彼此较近。与先前的研究总体一致,我们发现同源酶在网络中彼此靠近出现的频率高于随机预期,这为逆行进化模型提供了一些支持。然而,我们表明,可能通过逆行进化而产生的同源酶对,即功能不同的酶对,在MPL为1时的过度代表性比功能相似的酶对要弱。我们的研究表明,虽然逆行进化模型可能起到了较小的作用,但拼凑进化模型是代谢酶进化的主要过程。