Competitive binding of transcription factors drives Mendelian dominance in regulatory genetic pathways
Adam H. Porter, Norman A. Johnson, Alexander Y. Tulchinsky

TL;DR
This paper introduces a biophysical model explaining allelic dominance in gene regulation through competitive binding of transcription factors, revealing how binding strength and dosage influence dominance and gene expression.
Contribution
It presents a novel mechanism called binding dominance, linking molecular binding competition to Mendelian dominance in regulatory pathways.
Findings
Binding dominance depends on TF binding strength and dosage.
Cis-site heterozygotes show additive expression and co-dominance.
Binding dominance affects downstream gene expression and varies with genetic background.
Abstract
We report a new mechanism for allelic dominance in regulatory genetic interactions that we call binding dominance. We investigated a biophysical model of gene regulation, where the fractional occupancy of a transcription factor (TF) on the cis-regulated promoter site it binds to is determined by binding energy (-{\Delta}G) and TF dosage. Transcription and gene expression proceed when the TF is bound to the promoter. In diploids, individuals may be heterozygous at the cis-site, at the TF's coding region, or at the TF's own promoter, which determines allele-specific dosage. We find that when the TF's coding region is heterozygous, TF alleles compete for occupancy at the cis sites and the tighter-binding TF is dominant in proportion to the difference in binding strength. When the TF's own promoter is heterozygous, the TF produced at the higher dosage is also dominant. Cis-site…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenomics and Chromatin Dynamics · Genetic Mapping and Diversity in Plants and Animals · Gene Regulatory Network Analysis
