Title:
Natural selection governs local, but not global, evolutionary gene coexpression networks in Caenorhabditis elegans

dc.contributor.author Jordan, I. King en_US
dc.contributor.author Katz, Lee S. en_US
dc.contributor.author Denver, Dee R. en_US
dc.contributor.author Streelman, J. Todd en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Biology en_US
dc.contributor.corporatename Georgia Institute of Technology. Institute for Bioengineering and Bioscience en_US
dc.contributor.corporatename Oregon State University. Center for Genome Research and Biocomputing en_US
dc.contributor.corporatename Oregon State University. Dept. of Zoology en_US
dc.date.accessioned 2009-10-09T19:29:00Z
dc.date.available 2009-10-09T19:29:00Z
dc.date.issued 2008-11-13
dc.description © 2008 Jordan et al; licensee BioMed Central Ltd. The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1752-0509/2/96 en_US
dc.description DOI:10.1186/1752-0509-2-96 en_US
dc.description.abstract Background. Large-scale evaluation of gene expression variation among Caenorhabditis elegans lines that have diverged from a common ancestor allows for the analysis of a novel class of biological networks – evolutionary gene coexpression networks. Comparative analysis of these evolutionary networks has the potential to uncover the effects of natural selection in shaping coexpression network topologies since C. elegans mutation accumulation (MA) lines evolve essentially free from the effects of natural selection, whereas natural isolate (NI) populations are subject to selective constraints. Results. We compared evolutionary gene coexpression networks for C. elegans MA lines versus NI populations to evaluate the role that natural selection plays in shaping the evolution of network topologies. MA and NI evolutionary gene coexpression networks were found to have very similar global topological properties as measured by a number of network topological parameters. Observed MA and NI networks show node degree distributions and average values for node degree, clustering coefficient, path length, eccentricity and betweeness that are statistically indistinguishable from one another yet highly distinct from randomly simulated networks. On the other hand, at the local level the MA and NI coexpression networks are highly divergent; pairs of genes coexpressed in the MA versus NI lines are almost entirely different as are the connectivity and clustering properties of individual genes. Conclusion. It appears that selective forces shape how local patterns of coexpression change over time but do not control the global topology of C. elegans evolutionary gene coexpression networks. These results have implications for the evolutionary significance of global network topologies, which are known to be conserved across disparate complex systems. en_US
dc.identifier.citation Jordan, I.K., L.S. Katz, D.R. Denver and J.T. Streelman, "Natural selection governs local, but not global, evolutionary gene coexpression networks in Caenorahbditis elegans," BMC Systems Biology 2: 96 en
dc.identifier.doi 10.1186/1752-0509-2-96
dc.identifier.issn 1752-0509
dc.identifier.uri http://hdl.handle.net/1853/30439
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original BioMed Central en_US
dc.subject Caenorhabditis elegans en_US
dc.subject Natural selection en_US
dc.subject Evolutionary gene coexpression networks en_US
dc.title Natural selection governs local, but not global, evolutionary gene coexpression networks in Caenorhabditis elegans en_US
dc.type Text
dc.type.genre Article
dspace.entity.type Publication
local.contributor.author Jordan, I. King
local.contributor.author Streelman, J. Todd
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Biological Sciences
relation.isAuthorOfPublication 1c155699-6f2d-418d-83cd-9e1424896d4f
relation.isAuthorOfPublication 65166986-12ce-4676-8264-b5d82ec13ae5
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication c8b3bd08-9989-40d3-afe3-e0ad8d5c72b5
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