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Conservation and coevolution in the scale-free human gene coexpression network
Author(s): Jordan IK, Marino-Ramirez L, Wolf YI, Koonin EV
Source: MOLECULAR BIOLOGY AND EVOLUTION    Volume: 21    Issue: 11    Pages: 2058-2070    Published: NOV 2004  
Times Cited: 66     References: 55     
Abstract: The role of natural selection in biology is well appreciated. Recently, however, a critical role for physical principles of network self-organization in biological systems has been revealed. Here, we employ a systems level view of genome-scale sequence and expression data to examine the interplay between these two sources of order, natural selection and physical self-organization, in the evolution of human gene regulation. The topology of a human gene coexpression network, derived from tissue-specific expression profiles, shows scale-free properties that imply evolutionary self-organization via preferential node attachment. Genes with numerous coexpressed partners (the hubs of the coexpression network) evolve more slowly on average than genes with fewer coexpressed partners, and genes that are coexpressed show similar rates of evolution. Thus, the strength of selective constraints on gene sequences is affected by the topology of the gene coexpression network. This connection is strong for the coding regions and 3' untranslated regions (UTRs), but the 5' UTRs appear to evolve under a different regime. Surprisingly, we found no connection between the rate of gene sequence divergence and the extent of gene expression profile divergence between human and mouse. This suggests that distinct modes of natural selection might govern sequence versus expression divergence, and we propose a model, based on rapid, adaptation-driven divergence and convergent evolution of gene expression patterns, for how natural selection could influence gene expression divergence.
Document Type: Article
Language: English
Reprint Address: Jordan, IK (reprint author), NIH, Natl Ctr Biotechnol Informat, Bethesda, MD 20894 USA
Addresses:
1. NIH, Natl Ctr Biotechnol Informat, Bethesda, MD 20894 USA
Publisher: OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
Subject Category: Biochemistry & Molecular Biology; Evolutionary Biology; Genetics & Heredity
IDS Number: 864RH
ISSN: 0737-4038
DOI: 10.1093/molbev/msh222
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