Claudia Bank

This study investigates how intergenomic epistasis affects endpoint repeatability in coevolving species, finding high repeatability within landscapes but varying fitness outcomes across landscapes.

This study examines how hybrid incompatibilities and overdominant mutations interact in a hybrid population model, showing that recombination and selection shape genetic composition and neutral variation.

The paper shows constant warming enhances phage-mediated coexistence of bacterial species, while variable warming disrupts it by reducing phage control.

This study identifies ESBL-Ec in livestock and wildlife using whole-genome sequencing and phenotyping, revealing distinct genetic lineages and multidrug resistance.

The paper develops a stochastic model to explain diversity patterns in microbial communities based on dispersal and division rates, validates it with simulations and equations, and applies metrics to experimental data.

This study identifies genetic local adaptation in roe deer gut microbiota across different gut compartments, showing that nutrient availability and horizontal gene transfer drive species-specific adaptation.

This study shows that life history evolution interacts with natural selection to promote ecological diversification through feedback mechanisms.

This study quantifies antimicrobial resistance in E. coli from 37 wildlife species in Switzerland and Liechtenstein, finding higher resistance in omnivores and lower rates in forested areas.

This study examines how human cell populations adapt to different levels of centriole amplification through long-term experimental evolution and fitness analysis.

This study evaluates favipiravir's effectiveness against influenza A virus by analyzing mutation rates and population dynamics under varying drug concentrations.

This paper provides statistical guidelines for optimizing deep mutational scanning experiments by analyzing time-sampled bulk competition data.

The paper discusses the impact of skewed offspring distributions and background selection on viral population genetics and highlights challenges in genetic inference.

This paper discusses improvements in population-genetic selection inference by advocating for simulation tools, multi-time point genomic data, and experimental evolution results.