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Functional effects of variation in transcription factor binding sites on condition-specific gene regulation. In collaboration with Geoff Morris, Kevin Bullaughey, and Wen-Hsiung Li
Gene expression is controlled via transcription factors that bind to cis-regulatory sites in a gene’s promoter. Variant instances of a transcription factor binding motif, which differ at non-consensus positions, may cause differential regulation. We have systematically characterized the condition-specific activity of motif variants by analyzing the relationship between transcription factor binding motif variants and gene expression. For the genomes considered from four species, ~29% to ~39% of transcription factors have target genes that are differentially expressed in a condition-specific manner according to the nucleotide at variant motif positions. We have found good correspondence between our results and cases in the experimental literature, suggesting that transcription factor binding variants may often be functionally distinct and may play an important role in the evolution of condition-specific gene regulation. Ongoing and future work:
We will identify the distinct phenotypic role of binding site variants in specific environments or developmental stages. We will study variants that cause condition, tissue, or strain-specific gene expression profiles and control genes involved in pathways or processes such as ribosomal biogenesis, the cell cycle, pathology, development and tissue differentiation. We will identify functional TF binding site variants that have contributed to regulatory novelty. Regulatory novelty is an important source of variation enabling adaptation to new environments. However, trans regulatory changes can have pleiotropic effects, and gain/loss of TF binding sites alone offers a limited range of variation. Changes in functional variants may provide a source of cis-regulatory variation for fine-tuning gene expression profiles. We will identify substitutions between species that have caused changes in a gene’s expression profile, and identify changes in functional variants between duplicate genes that facilitated their regulatory divergence, perhaps accommodating the evolution of novel cellular pathways.
Computational
Experimental |
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