Ann Thomas Tate

The paper examines evolutionary rates and disease associations of pleiotropic neuro-immune genes in Drosophila and finds slower evolution correlates with human neurological disease, though pleiotropy alone is not the strongest predictor.

The paper examines how pleiotropy affects evolutionary rates and plasticity in immune system genes across six Drosophila species, finding domain-specific evolution can reduce gene-level constraints.

This study examines how coinfection affects population stability by analyzing flour beetle dynamics with and without parasites, finding that facilitation among parasites can drive populations into chaos.

The paper constructs an agent-based model to explore how ontogeny and environmental factors influence the investment in innate-like versus diversified T cell receptors across vertebrate species.

The paper examines pleiotropy across gene age in six model organisms and finds that middle-aged and ancient genes are more pleiotropic than young genes.

This paper develops an evolutionary model of immune signaling to show that downstream negative feedback loops evolve more robustly than upstream ones due to stronger selective pressures.

The paper investigates how dietary resources affect developmental shifts and infection tolerance in flour beetles coinfected with gregarine and bacterial parasites, finding that resources modulate developmental timing but not resistance to bacterial infection.

This study uses an agent-based model to show that pleiotropy in immune signaling networks can be advantageous by reducing fitness costs from resource allocation trade-offs, especially in competitive host interactions.

This study quantifies the trade-off between immune investment and host fitness by manipulating cactus knock-down in flour beetles, revealing dose-dependent benefits and costs to infection resistance and other fitness traits.

The paper uses stochastic models to show how the location of negative feedback loops in immune signaling affects gene expression noise, finding that downstream loops reduce noise while upstream loops amplify it, which can be mitigated by strong positive feedback.