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dc.contributor.authorHabib, Naomi
dc.contributor.authorWapinski, Ilan Neustat
dc.contributor.authorMargalit, Hanah
dc.contributor.authorRegev, Aviv
dc.contributor.authorFriedman, Nir
dc.date.accessioned2013-04-22T17:49:14Z
dc.date.issued2012
dc.identifier.citationHabib, Naomi, Ilan Wapinski, Hanah Margalit, Aviv Regev, and Nir Friedman. 2012. A functional selection model explains evolutionary robustness despite plasticity in regulatory networks. Molecular Systems Biology 8:619.en_US
dc.identifier.issn1744-4292en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10579221
dc.description.abstractEvolutionary rewiring of regulatory networks is an important source of diversity among species. Previous evidence suggested substantial divergence of regulatory networks across species. However, systematically assessing the extent of this plasticity and its functional implications has been challenging due to limited experimental data and the noisy nature of computational predictions. Here, we introduce a novel approach to study cis-regulatory evolution, and use it to trace the regulatory history of 88 DNA motifs of transcription factors across 23 Ascomycota fungi. While motifs are conserved, we find a pervasive gain and loss in the regulation of their target genes. Despite this turnover, the biological processes associated with a motif are generally conserved. We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. The model also accounts for the turnover of bound targets measured experimentally across species in yeasts and mammals. Thus, selective pressures on regulatory networks mostly tolerate local rewiring, and may allow for subtle fine-tuning of gene regulation during evolution.en_US
dc.language.isoen_USen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofdoi:10.1038/msb.2012.50en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3501536/pdf/en_US
dash.licenseLAA
dc.subjectbioinformaticsen_US
dc.subjectcomputational methodsen_US
dc.subjectevolutionen_US
dc.subjectregulationen_US
dc.subjecttranscriptionen_US
dc.titleA Functional Selection Model Explains Evolutionary Robustness Despite Plasticity in Regulatory Networksen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalMolecular Systems Biologyen_US
dash.depositing.authorWapinski, Ilan Neustat
dc.date.available2013-04-22T17:49:14Z
dc.identifier.doi10.1038/msb.2012.50*
dash.contributor.affiliatedWapinski, Ilan


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