BMC Evolutionary Biology (Sep 2006)

Global similarity and local divergence in human and mouse gene co-expression networks

  • Koonin Eugene V,
  • Bodenreider Olivier,
  • Mariño-Ramírez Leonardo,
  • Tsaparas Panayiotis,
  • Jordan I King

DOI
https://doi.org/10.1186/1471-2148-6-70
Journal volume & issue
Vol. 6, no. 1
p. 70

Abstract

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Abstract Background A genome-wide comparative analysis of human and mouse gene expression patterns was performed in order to evaluate the evolutionary divergence of mammalian gene expression. Tissue-specific expression profiles were analyzed for 9,105 human-mouse orthologous gene pairs across 28 tissues. Expression profiles were resolved into species-specific coexpression networks, and the topological properties of the networks were compared between species. Results At the global level, the topological properties of the human and mouse gene coexpression networks are, essentially, identical. For instance, both networks have topologies with small-world and scale-free properties as well as closely similar average node degrees, clustering coefficients, and path lengths. However, the human and mouse coexpression networks are highly divergent at the local level: only a small fraction ( Conclusion The dissonance between global versus local network divergence suggests that the interspecies similarity of the global network properties is of limited biological significance, at best, and that the biologically relevant aspects of the architectures of gene coexpression are specific and particular, rather than universal. Nevertheless, there is substantial evolutionary conservation of the local network structure which is compatible with the notion that gene coexpression networks are subject to purifying selection.