Literature DB >> 18790074

The origin and evolution of modern metabolism.

Gustavo Caetano-Anollés1, Liudmila S Yafremava, Hannah Gee, Derek Caetano-Anollés, Hee Shin Kim, Jay E Mittenthal.   

Abstract

One fundamental goal of current research is to understand how complex biomolecular networks took the form that we observe today. Cellular metabolism is probably one of the most ancient biological networks and constitutes a good model system for the study of network evolution. While many evolutionary models have been proposed, a substantial body of work suggests metabolic pathways evolve fundamentally by recruitment, in which enzymes are drawn from close or distant regions of the network to perform novel chemistries or use different substrates. Here we review how structural and functional genomics has impacted our knowledge of evolution of modern metabolism and describe some approaches that merge evolutionary and structural genomics with advances in bioinformatics. These include mining the data on structure and function of enzymes for salient patterns of enzyme recruitment. Initial studies suggest modern metabolism originated in enzymes of nucleotide metabolism harboring the P-loop hydrolase fold, probably in pathways linked to the purine metabolic subnetwork. This gateway of recruitment gave rise to pathways related to the synthesis of nucleotides and cofactors for an ancient RNA world. Once the TIM beta/alpha-barrel fold architecture was discovered, it appears metabolic activities were recruited explosively giving rise to subnetworks related to carbohydrate and then amino acid metabolism. Remarkably, recruitment occurred in a layered system reminiscent of Morowitz's prebiotic shells, supporting the notion that modern metabolism represents a palimpsest of ancient metabolic chemistries.

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Year:  2008        PMID: 18790074     DOI: 10.1016/j.biocel.2008.08.022

Source DB:  PubMed          Journal:  Int J Biochem Cell Biol        ISSN: 1357-2725            Impact factor:   5.085


  46 in total

1.  History of biological metal utilization inferred through phylogenomic analysis of protein structures.

Authors:  Christopher L Dupont; Andrew Butcher; Ruben E Valas; Philip E Bourne; Gustavo Caetano-Anollés
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-24       Impact factor: 11.205

2.  Proteome evolution and the metabolic origins of translation and cellular life.

Authors:  Derek Caetano-Anollés; Kyung Mo Kim; Jay E Mittenthal; Gustavo Caetano-Anollés
Journal:  J Mol Evol       Date:  2010-11-17       Impact factor: 2.395

3.  Evolution and multiplicity of arginine decarboxylases in polyamine biosynthesis and essential role in Bacillus subtilis biofilm formation.

Authors:  Matthew Burrell; Colin C Hanfrey; Ewan J Murray; Nicola R Stanley-Wall; Anthony J Michael
Journal:  J Biol Chem       Date:  2010-09-27       Impact factor: 5.157

4.  Pathway evolution by horizontal transfer and positive selection is accommodated by relaxed negative selection upon upstream pathway genes in purple bacterial carotenoid biosynthesis.

Authors:  Jonathan L Klassen
Journal:  J Bacteriol       Date:  2009-10-09       Impact factor: 3.490

Review 5.  Emerging evolutionary paradigms in antibiotic discovery.

Authors:  Marc G Chevrette; Cameron R Currie
Journal:  J Ind Microbiol Biotechnol       Date:  2018-09-29       Impact factor: 3.346

6.  The phylogenomic roots of modern biochemistry: origins of proteins, cofactors and protein biosynthesis.

Authors:  Gustavo Caetano-Anollés; Kyung Mo Kim; Derek Caetano-Anollés
Journal:  J Mol Evol       Date:  2012-01-01       Impact factor: 2.395

7.  Independent evolutionary origins of functional polyamine biosynthetic enzyme fusions catalysing de novo diamine to triamine formation.

Authors:  Robert Green; Colin C Hanfrey; Katherine A Elliott; Diane E McCloskey; Xiaojing Wang; Sreenivas Kanugula; Anthony E Pegg; Anthony J Michael
Journal:  Mol Microbiol       Date:  2011-07-18       Impact factor: 3.501

8.  The natural history of molecular functions inferred from an extensive phylogenomic analysis of gene ontology data.

Authors:  Ibrahim Koç; Gustavo Caetano-Anollés
Journal:  PLoS One       Date:  2017-05-03       Impact factor: 3.240

9.  A global evolutionary and metabolic analysis of human obesity gene risk variants.

Authors:  Joseph J Castillo; Zachary S Hazlett; Robert A Orlando; William S Garver
Journal:  Gene       Date:  2017-07-04       Impact factor: 3.688

10.  Complete characterization of the seventeen step moenomycin biosynthetic pathway.

Authors:  Bohdan Ostash; Emma H Doud; Cecilie Lin; Iryna Ostash; Deborah L Perlstein; Shinichiro Fuse; Manuel Wolpert; Daniel Kahne; Suzanne Walker
Journal:  Biochemistry       Date:  2009-09-22       Impact factor: 3.162

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