Evolution of enzymes in metabolism: A network perspective

被引:61
作者
Alves, R
Chaleil, RAG
Sternberg, MJE
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Sci Biol, Struct Bioinformat Grp, London SW7 2AZ, England
[2] Imperial Canc Res Fund, Biomolec Modelling Lab, London WC2A 3PX, England
基金
英国生物技术与生命科学研究理事会;
关键词
sequence analysis; protein structure; enzyme classification; metabolic databases; comparative genomics;
D O I
10.1016/S0022-2836(02)00546-6
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:751 / 770
页数:20
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