Evolution of enzymes in metabolism: a network perspective
- PMID: 12095253
- DOI: 10.1016/s0022-2836(02)00546-6
Evolution of enzymes in metabolism: a network perspective
Erratum in
- J Mol Biol 2002 Nov 22;324(2):387
Abstract
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.
Similar articles
-
Metabolite-Enzyme Coevolution: From Single Enzymes to Metabolic Pathways and Networks.Annu Rev Biochem. 2018 Jun 20;87:187-216. doi: 10.1146/annurev-biochem-062917-012023. Annu Rev Biochem. 2018. PMID: 29925259 Review.
-
Network analysis of metabolic enzyme evolution in Escherichia coli.BMC Bioinformatics. 2004 Feb 18;5:15. doi: 10.1186/1471-2105-5-15. BMC Bioinformatics. 2004. PMID: 15113413 Free PMC article.
-
Multifunctional enzymes and evolution of biosynthetic pathways: retro-evolution by jumps.Proteins. 1999 Nov 1;37(2):303-9. doi: 10.1002/(sici)1097-0134(19991101)37:2<303::aid-prot15>3.0.co;2-6. Proteins. 1999. PMID: 10584075
-
On the levels of enzymatic substrate specificity: implications for the early evolution of metabolic pathways.Adv Space Res. 1995 Mar;15(3):345-56. doi: 10.1016/s0273-1177(99)80106-9. Adv Space Res. 1995. PMID: 11539248 Review.
-
Catalysing new reactions during evolution: economy of residues and mechanism.J Mol Biol. 2003 Aug 22;331(4):829-60. doi: 10.1016/s0022-2836(03)00734-4. J Mol Biol. 2003. PMID: 12909013
Cited by
-
CoMetGeNe: mining conserved neighborhood patterns in metabolic and genomic contexts.BMC Bioinformatics. 2019 Jan 10;20(1):19. doi: 10.1186/s12859-018-2542-2. BMC Bioinformatics. 2019. PMID: 30630411 Free PMC article.
-
Influence of pathway topology and functional class on the molecular evolution of human metabolic genes.PLoS One. 2018 Dec 14;13(12):e0208782. doi: 10.1371/journal.pone.0208782. eCollection 2018. PLoS One. 2018. PMID: 30550546 Free PMC article.
-
Molecular evolution of acetohydroxyacid synthase in bacteria.Microbiologyopen. 2017 Dec;6(6):e00524. doi: 10.1002/mbo3.524. Epub 2017 Aug 6. Microbiologyopen. 2017. PMID: 28782269 Free PMC article.
-
A global evolutionary and metabolic analysis of human obesity gene risk variants.Gene. 2017 Sep 5;627:412-419. doi: 10.1016/j.gene.2017.07.002. Epub 2017 Jul 4. Gene. 2017. PMID: 28687331 Free PMC article.
-
Establishment of quantitative severity evaluation model for spinal cord injury by metabolomic fingerprinting.PLoS One. 2014 Apr 11;9(4):e93736. doi: 10.1371/journal.pone.0093736. eCollection 2014. PLoS One. 2014. PMID: 24727691 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
