PLoS Computational Biology · 2010 · 22 citations · 43 references
Life SciencesBiologyMolecular BiologyGene ExpressionGene Regulatory NetworksPhylogeneticsGene Regulatory ElementsMolecular PhylogenyMotif DiscoveryPhylogenetic AnalysisPromoter RecognitionTranscriptional Regulation In ProkaryotesConvergent Evolution AnalysisPhylogenetic FootprintingProtein-dna InteractionsRegulatory MotifsRegulatory Protein-dna InteractionsTranscription Factor Binding SitesTranscription Factor Binding SpecificityTranscription Factor Specificity
The specific binding of regulatory proteins to DNA sequences exhibits no clear patterns of association between amino acids (AAs) and nucleotides (NTs). This complexity of protein-DNA interactions raises the question of whether a simple set of wide-coverage recognition rules can ever be identified. Here, we analyzed this issue using the extensive LacI family of transcriptional factors (TFs). We searched for recognition patterns by introducing a new approach to phylogenetic footprinting, based on the pervasive presence of local regulation in prokaryotic transcriptional networks. We identified a set of specificity correlations--determined by two AAs of the TFs and two NTs in the binding sites--that is conserved throughout a dominant subgroup within the family regardless of the evolutionary distance, and that act as a relatively consistent recognition code. The proposed rules are confirmed with data of previous experimental studies and by events of convergent evolution in the phylogenetic tree. The presence of a code emphasizes the stable structural context of the LacI family, while defining a precise blueprint to reprogram TF specificity with many practical applications.
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