title: Hybrid incompatibility arises in a sequence-based bioenergetic model of transcription factor binding.
abstract: Postzygotic isolation between incipient species results from the accumulation of incompatibilities that arise as a consequence of genetic divergence. When phenotypes are determined by regulatory interactions, hybrid incompatibility can evolve even as a consequence of parallel adaptation in parental populations because interacting genes can produce the same phenotype through incompatible allelic combinations. We explore the evolutionary conditions that promote and constrain hybrid incompatibility in regulatory networks using a bioenergetic model (combining thermodynamics and kinetics) of transcriptional regulation, considering the bioenergetic basis of molecular interactions between transcription factors (TFs) and their binding sites. The bioenergetic parameters consider the free energy of formation of the bond between the TF and its binding site and the availability of TFs in the intracellular environment. Together these determine fractional occupancy of the TF on the promoter site, the degree of subsequent gene expression and in diploids, and the degree of dominance among allelic interactions. This results in a sigmoid genotype-phenotype map and fitness landscape, with the details of the shape determining the degree of bioenergetic evolutionary constraint on hybrid incompatibility. Using individual-based simulations, we subjected two allopatric populations to parallel directional or stabilizing selection. Misregulation of hybrid gene expression occurred under either type of selection, although it evolved faster under directional selection. Under directional selection, the extent of hybrid incompatibility increased with the slope of the genotype-phenotype map near the derived parental expression level. Under stabilizing selection, hybrid incompatibility arose from compensatory mutations and was greater when the bioenergetic properties of the interaction caused the space of nearly neutral genotypes around the stable expression level to be wide. F2's showed higher hybrid incompatibility than F1's to the extent that the bioenergetic properties favored dominant regulatory interactions. The present model is a mechanistically explicit case of the Bateson-Dobzhansky-Muller model, connecting environmental selective pressure to hybrid incompatibility through the molecular mechanism of regulatory divergence. The bioenergetic parameters that determine expression represent measurable properties of transcriptional regulation, providing a predictive framework for empirical studies of how phenotypic evolution results in epistatic incompatibility at the molecular level in hybrids.
authors.affiliation: Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts, Amherst, Massachusetts 01003 atulchin@cns.umass.edu.
authors.forename: Alexander Y
authors.initials: AY
authors.lastname: Tulchinsky
authors.affiliation: Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts, Amherst, Massachusetts 01003 Department of Biology, University of Massachusetts, Amherst, Massachusetts 01003 Department of Environmental Conservation, University of Massachusetts, Amherst, Massachusetts 01003.
authors.forename: Norman A
authors.initials: NA
authors.lastname: Johnson
authors.affiliation: Department of Biological Sciences, University of South Carolina, Columbia, South Carolina 29208.
authors.forename: Ward B
authors.initials: WB
authors.lastname: Watt
authors.affiliation: Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts, Amherst, Massachusetts 01003 Department of Biology, University of Massachusetts, Amherst, Massachusetts 01003.
authors.forename: Adam H
authors.initials: AH
authors.lastname: Porter
mesh_terms: D000483:Alleles; D003198:Computer Simulation; D003433:Crosses, Genetic; D004734:Energy Metabolism; D005786:Gene Expression Regulation; D005838:Genotype; D006824:Hybridization, Genetic; D008954:Models, Biological; D010641:Phenotype; D011156:Population Density; D011485:Protein Binding; D012641:Selection, Genetic; D014157:Transcription Factors / Q000378:metabolism*
chemical_list: D014157:Transcription Factors
keywords: Dobzhansky–Muller interactions; adaptive landscape; cis–trans coevolution; genotype–phenotype map; regulatory evolution; speciation