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dc.contributor.authorWang, Yongen_US
dc.contributor.authorFranzosa, Eric A.en_US
dc.contributor.authorZhang, Xiang-Sunen_US
dc.contributor.authorXia, Yuen_US
dc.date.accessioned2012-01-11T00:40:39Z
dc.date.available2012-01-11T00:40:39Z
dc.date.copyright2010en_US
dc.date.issued2010-5-13en_US
dc.identifier.citationAnton, Brian P., Susan P. Russell, Jason Vertrees, Simon Kasif, Elisabeth A. Raleigh, Patrick A. Limbach, Richard J. Roberts. "Protein evolution in yeast transcription factor subnetworks" Nucleic Acids Research 38(18): 5959-5969. (2010)en_US
dc.identifier.issn1362-4962en_US
dc.identifier.urihttp://hdl.handle.net/2144/3032
dc.description.abstractWhen averaged over the full yeast protein–protein interaction and transcriptional regulatory networks, protein hubs with many interaction partners or regulators tend to evolve significantly more slowly due to increased negative selection. However, genome-wide analysis of protein evolution in the subnetworks of associations involving yeast transcription factors (TFs) reveals that TF hubs do not tend to evolve significantly more slowly than TF non-hubs. This result holds for all four major types of TF hubs: interaction hubs, regulatory in-degree and out-degree hubs, as well as co-regulatory hubs that jointly regulate target genes with many TFs. Furthermore, TF regulatory in-degree hubs tend to evolve significantly more quickly than TF non-hubs. Most importantly, the correlations between evolutionary rate (KA/KS) and degrees for TFs are significantly more positive than those for generic proteins within the same global protein–protein interaction and transcriptional regulatory networks. Compared to generic protein hubs, TF hubs operate at a higher level in the hierarchical structure of cellular networks, and hence experience additional evolutionary forces (relaxed negative selection or positive selection through network rewiring). The striking difference between the evolution of TF hubs and generic protein hubs demonstrates that components within the same global network can be governed by distinct organizational and evolutionary principles.en_US
dc.description.sponsorshipNational Natural Science Foundation of China (10801131, 10631070); National Science Foundation (DGE-0654108); Pharmaceutical Research and Manufacturers of America Foundation (Research Starter Grant in Informatics); K. C. Wong Education Foundationen_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.rightsCopyright Anton, Brian P., Susan P. Russell, Jason Vertrees, Simon Kasif, Elisabeth A. Raleigh, Patrick A. Limbach, Richard J. Roberts 2010. Published by Oxford University Press.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.5en_US
dc.titleProtein Evolution in Yeast Transcription Factor Subnetworksen_US
dc.typearticleen_US
dc.identifier.doi10.1093/nar/gkq353en_US
dc.identifier.pubmedid20466810en_US
dc.identifier.pmcid2952844en_US


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Copyright Anton, Brian P., Susan P. Russell, Jason Vertrees, Simon Kasif, Elisabeth A. Raleigh, Patrick A. Limbach, Richard J. Roberts 2010. Published by Oxford University Press.
Except where otherwise noted, this item's license is described as Copyright Anton, Brian P., Susan P. Russell, Jason Vertrees, Simon Kasif, Elisabeth A. Raleigh, Patrick A. Limbach, Richard J. Roberts 2010. Published by Oxford University Press.