A Stochastic Model for the Development of Complex Bateson- Dobzhanksy-Muller Incompatibilities Incorporating Protein-Protein Interaction Network Structure

Bateson-Dobzhansky-Muller Incompatibilities are theorized to be one of the main causes of post-zygotic reproductive isolating barriers. While many quantitative models for the development of such incompatibilities exist, few have dealt with the eect the struc- ture of protein-interaction networks has on the development of incompatibilities, and none deal with incompatibilities between more than two loci. We develop a stochastic model for the development of complex Bateson-Dobzhansky-Muller incompatibilities that incorporates the structure of protein-protein interaction networks, and demonstrate that the structure of the network can drastically change the importance of digenic interactions toward the rate of divergence between populations

Genetic interactions : epistasis, linkage and speciation

Population genetics often makes simplifying assumptions regarding the interactions between genes. Interactions between genes, whether through epistasis or linkage effects, vastly increase the complexity of mathematical modeling, and often require data that has not historically been available. In this Dissertation, I present three chapters that use this complexity as a basis to explain empirical patters in evolution. In the first chapter, I show that inversions may become associated with assortative mating by linking assortative mating loci to loci that impact fitness directly. Such inversions have been observed between sympatric species pairs, implicating them in the process of speciation. In the second chapter, I develop a model of speciation predicated on epistatic interactions building up within populations as well as between them as they diverge. The model makes novel predictions about the rate of speciation under varying circumstances. Certain parts of the genome are expected to contribute more heavily to hybrid fitness, including the sex chromosomes. In the third chapter, I analyze phased sex chromosomes of a fish with young sex chromosomes, identifying potential targets of sexually antagonistic selection - a form of selection in which an allele maybe deleterious in one sex but beneficial in the other. Together, these chapters capitalize on the role that genetic interactions play in determining the course and cause of speciation and evolution of genome structure.Ecology, Evolution and Behavio

Data from: Systematic analysis of complex genetic interactions

To systematically explore complex genetic interactions, we constructed ~200,000 yeast triple mutants and scored negative trigenic interactions. We selected double-mutant query genes across a broad spectrum of biological processes, spanning a range of quantitative features of the global digenic interaction network and tested for a genetic interaction with a third mutation. Trigenic interactions often occurred among functionally related genes, and essential genes were hubs on the trigenic network. Despite their functional enrichment, trigenic interactions tended to link genes in distant bioprocesses and displayed a weaker magnitude than digenic interactions. We estimate that the global trigenic interaction network is ~100 times as large as the global digenic network, highlighting the potential for complex genetic interactions to affect the biology of inheritance, including the genotype-to-phenotype relationship

Legislative Documents

Also, variously referred to as: Senate bills; Senate documents; Senate legislative documents; legislative documents; and General Court documents

AdditionalDataS5

This file contains the complete list of yeast strains present on the diagnostic array, which was used for genetic interaction screens in this study

AdditionalDataS6

This file contains the trigenic interactions list of MDY2-MTC1 and digenic interaction list of MDY2 and MTC1 corresponding to Fig. 3. The ‘Tetrad Analysis’ tab contains confirmations results obtained from tetrad analysis: SS is synthetic sick, SL is synthetic lethal. The ‘Genetic interactions’ tab contains columns that are annotated with ‘CellMap’ since they contain genetic interactions from (7) downloaded from theCellMap.org (26) as well as scores derived in this study