Literature DB >> 14993205

Quantifying modularity in the evolution of biomolecular systems.

Berend Snel1, Martijn A Huynen.   

Abstract

Functional modules are considered the primary building blocks of biomolecular systems. Here we study to what extent functional modules behave cohesively across genomes:That is, are functional modules also evolutionary modules? We probe this question by analyzing for a large collection of functional modules the phyletic patterns of their genes across 110 genomes. The majority of functional modules display limited evolutionary modularity. This result confirms certain comparative genome analyses, but is in contrast to implicit assumptions in the systems analysis of functional genomics data. We show that this apparent interspecies flexibility in the organization of functional modules depends more on functional differentiation within orthologous groups of genes, than on noise in the functional module definitions. When filtering out these sources of nonmodularity, even though very few functional modules behave perfectly modular in evolution, about half behave at least significantly more modular than a random set of genes. There are substantial differences in the evolutionary modularity between individual functional modules as well as between collections of functional modules, partly corresponding to conceptual differences in the functional module definition, which make comparisons between functional module collections biologically difficult to interpret. Analysis within one collection does not suffer from such differences, and we show that within the EcoCyc metabolic pathway database, biosynthetic pathways are evolutionarily more modular than catabolic pathways.

Mesh:

Year:  2004        PMID: 14993205      PMCID: PMC353226          DOI: 10.1101/gr.1969504

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  39 in total

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4.  Building and analysing genome-wide gene disruption networks.

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5.  Network motifs: simple building blocks of complex networks.

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6.  Modular organization of cellular networks.

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-21       Impact factor: 11.205

7.  Orthology, paralogy and proposed classification for paralog subtypes.

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8.  STRING: a database of predicted functional associations between proteins.

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Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

9.  Hierarchical organization of modularity in metabolic networks.

Authors:  E Ravasz; A L Somera; D A Mongru; Z N Oltvai; A L Barabási
Journal:  Science       Date:  2002-08-30       Impact factor: 47.728

10.  The Proteome Analysis database: a tool for the in silico analysis of whole proteomes.

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  47 in total

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Review 2.  Protein interaction networks in plants.

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3.  Identification and analysis of evolutionarily cohesive functional modules in protein networks.

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Journal:  Genome Res       Date:  2006-01-31       Impact factor: 9.043

4.  A metabolic network in the evolutionary context: multiscale structure and modularity.

Authors:  Victor Spirin; Mikhail S Gelfand; Andrey A Mironov; Leonid A Mirny
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

Review 5.  Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.

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Review 7.  Evolution of biomolecular networks: lessons from metabolic and protein interactions.

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8.  Cohesive versus flexible evolution of functional modules in eukaryotes.

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Journal:  PLoS Comput Biol       Date:  2009-01-30       Impact factor: 4.475

9.  A complex-centric view of protein network evolution.

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Journal:  Nucleic Acids Res       Date:  2009-05-22       Impact factor: 16.971

10.  Evolutionary constraints permeate large metabolic networks.

Authors:  Andreas Wagner
Journal:  BMC Evol Biol       Date:  2009-09-11       Impact factor: 3.260

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