Katie E. Lotterhos

The paper exposes eastern oyster larvae to combined stressors and finds compositional genomic synergy despite additive survival and allele-frequency change.

This study identifies genetic population structure and adaptive loci in eastern oysters across their range, revealing human impacts and providing targets for climate-resilient aquaculture.

The paper develops a model to predict how thermal performance curves evolve under realistic temperature timeseries and genetic factors, showing multi-generation lags and adaptive tracking in Drosophila suzukii.

This study evaluates three frameworks for selecting genotypes for transplantation, finding mixed support for each in predicting survival and growth of Eastern oyster genotypes in different environments.

The paper examines adaptive tracking in Drosophila suzukii, finding that polygenic traits like thermal tolerance show delayed evolutionary responses, while oligogenic traits exhibit stronger seasonal genomic signatures.

GHIST 2024 evaluates population genetic inference methods through four demographic history challenges, revealing the dominance of site frequency spectrum-based methods and the potential of flexible models for complex histories.

This study evaluates genomic offset methods for predicting maladaptation to future environments across simulated datasets, finding performance depends on local adaptation and environmental complexity.

This study examines how DNA methylation and gene expression respond to elevated pCO2 in eastern oysters, finding sex-specific effects on transcriptional noise and gene regulation.

The paper improves genomic inference by masking haplotigs in the eastern oyster genome, enhancing SNP discovery and diversity estimates.

This study challenges the use of genotype-environment associations (GEAs) for understanding adaptation, showing that multivariate trait predictions are more effective for genomic forecasting.

The paper compares DNA methylation quantification methods in corals, revealing methodological biases and environmental sensitivity differences.

This study examines how ocean acidification affects gene expression and DNA methylation in the mantle tissue of Eastern oysters over time, finding subtle molecular responses and limited plasticity.

The paper examines DNA methylation patterns in eastern oyster gonad tissue under ocean acidification conditions and identifies differentially methylated loci that may influence transcriptional control and potential inheritance.

The paper introduces EecSeq, a cost-effective exome sequencing method that uses expressed mRNA to create probes, achieving high capture sensitivity and comparable efficiency to traditional methods.