title: Network analysis of metabolic enzyme evolution in Escherichia coli.
abstract: BACKGROUND
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Stockholm Bioinformatics Center, Department of Biochemistry and Biophysics, Stockholm Center for Physics, Astronomy and Biotechnology, Stockholm University, Stockholm SE-10691, Sweden. sara@sbc.su.se
authors.forename: Sara
authors.initials: S
authors.lastname: Light
authors.forename: Per
authors.initials: P
authors.lastname: Kraulis
mesh_terms: D000465:Algorithms; D001710:Biotin / Q000378:metabolism; D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D004926:Escherichia coli / Q000201:enzymology* / Q000235:genetics*; D029968:Escherichia coli Proteins / Q000235:genetics / Q000378:metabolism / Q000502:physiology; D019143:Evolution, Molecular; D005798:Genes, Bacterial / Q000235:genetics / Q000502:physiology; D008954:Models, Biological; D017386:Sequence Homology, Amino Acid; D013379:Substrate Specificity / Q000235:genetics
chemical_list: D029968:Escherichia coli Proteins; D001710:Biotin