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Protein Evolution in Yeast Transcription Factor Subnetworks

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dc.contributor.author Wang, Yong en_US
dc.contributor.author Franzosa, Eric A. en_US
dc.contributor.author Zhang, Xiang-Sun en_US
dc.contributor.author Xia, Yu en_US
dc.date.accessioned 2012-01-11T00:40:39Z
dc.date.available 2012-01-11T00:40:39Z
dc.date.copyright 2010 en_US
dc.date.issued 2010-5-13 en_US
dc.identifier.citation Anton, 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.issn 1362-4962 en_US
dc.identifier.uri http://hdl.handle.net/2144/3032
dc.description.abstract When 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.sponsorship National 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 Foundation en_US
dc.language.iso en en_US
dc.publisher Oxford University Press en_US
dc.rights 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. en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc/2.5 en_US
dc.title Protein Evolution in Yeast Transcription Factor Subnetworks en_US
dc.type article en_US
dc.identifier.doi 10.1093/nar/gkq353 en_US
dc.identifier.pubmedid 20466810 en_US
dc.identifier.pmcid 2952844 en_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.

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