Abstract
Microbiomes contain many levels of biological information, and integrating across the levels creates a holistic understanding of host-microbiome interactions. In my research on the evolution and ecology of avian microbiomes, I use two complementary frameworks: the microbiome as a community and the microbiome as a trait of the host. We draw on classic ecological and evolutionary theory and modern statistical models to advance our understanding in each of these frameworks and then integrate what we have learned into a better understanding of host-associated microbiomes, host evolution, and microbial biodiversity. Ecological theories that bear on processes such as community assembly and metacommunities are well suited for application to microbiomes. Phylogenetic comparative methods can quantify the fit of evolutionary models and detect correlations between traits and correlations between traits and the rate of evolution; these methods allow the inference of evolutionary process from contemporary patterns.