N. M. Fountain-Jones

This study identifies positive microbial associations as the primary driver of tick microbiome composition, with microclimate and host factors playing secondary roles for specific taxa.

This study uses QuPath to analyze PD1 and PDL1 expression in Tasmanian devil lymph nodes, finding higher PD1 expression in germinal centers and increased PD1-positive cells in DFT2 metastases.

The paper uses spectral graph theory and machine learning to predict pathogen spread in animal networks and shows spectral features can predict vulnerability to infection.

This study evaluates oral baits as vaccine delivery vehicles for Tasmanian devils, finding that captive and wild devils consume placebo baits but face competition from non-target species, with automated dispensers improving uptake.

The paper examines morphological trait correlations and phylogenetic signal in North American ground beetles, finding strong phylogenetic constraints and trait correlations.

The paper uses apathogenic FIV transmission data to predict pathogenic FeLV transmission dynamics in Florida panthers, showing comparable accuracy to traditional methods.

The paper examines how urbanization affects pathogen spread in pumas by analyzing landscape variables and host gene flow in two contrasting regions.

The paper investigates how microbial associations and spatial proximity influence gut microbial community composition in North American moose.