Elizabeth G. King

This study uses Evolve-and-Resequence to improve flight performance in Drosophila melanogaster, identifying genomic changes and phenotypic traits associated with the adaptation.

This study develops a modeling framework to investigate how fluctuating selection affects allele frequency oscillations by integrating quantitative and population genetics with simulations and spectral analysis.

The paper introduces a method using multi-parent RILs crossed to a tester to dissect cis and trans regulation of gene expression in Drosophila, finding environmental and genetic trans effects in 31% and 19% of loci respectively.

This study used directional selection to examine changes in olfactory learning and memory in flies, finding no significant changes in the main traits but observed changes in climbing behavior.

The paper assesses learning and memory in Drosophila using multiple methods and finds limited correlation between olfactory and place learning, suggesting context-dependent genetic factors.

The paper investigates how polymorphic transposable elements (TEs) influence meiotic recombination rates in Drosophila by analyzing crossover frequencies in strains with distinct TE profiles.

The paper examines how larval and adult diet interactions affect lifespan and fecundity in Drosophila melanogaster, finding no consistent support for environmental matching or silver spoon models.

This study investigates the genetic basis of Drosophila melanogaster's defense against Beauveria bassiana using QTL mapping and evolve and resequence approaches, revealing genetic variation and trade-offs in immune defense.

The paper uses genomic prediction to identify biological processes influencing free amino acid traits in Arabidopsis seeds, revealing new trait-pathway associations and improving predictive ability for specific amino acids.

The paper identifies diet-induced gene expression variation in Drosophila melanogaster using RNA-seq, revealing diverse pathways beyond the insulin/TOR pathway.

The paper identifies 16 genetic loci affecting place learning and memory in Drosophila melanogaster using a multiparent mapping resource and transcriptomic analysis.

The paper develops a model-based method to automate fecundity estimation in Drosophila by counting eggs from images, achieving a high correlation with manual counts.