Whether walking through urban neighborhoods or going on nature hikes, the diversity of the natural world surrounds us. Our lab researches the origin and maintenance of this species diversity. To answer these questions, we integrate field work, genomics, and experiments.
Our research program focuses on three major aims.
Macroevolutionary patterns of species diversity
When we think of mammals, we might first think about chimps, bears, and elephants. But, more than 60% of mammal species are either some kind of rodent or bat. This is an example of an interesting pattern found across the tree of life: some types of species are more common than others. We are studying the potential causes for this pattern in lizards and snakes.
Work done in collaboration with Dan Rabosky at University of Michigan.
The adaptive radiation of desert plants
Encelia is a radiation of about 20 plant species, most of which live in the open deserts of the southwestern United States and Baja California. Each species of Encelia shows adaptations to the different habitats in which they are found. Interestingly, they evolved these differences even while hybridizing freely with each other – wherever any two species meet, hybrids form, with no evidence that they are sterile or less fit than their parents. We are researching the evolutionary history of these species and their natural hybrid zones to determine how these species formed and how they are maintained.
Comparative species delimitation in lizards
Typically, when researchers try to understand how many species there are (or, delimit species), they do it on a per-species basis. In this research, we are exploring how we can combine data across different species groups to delimit species. Ultimately, we hope that comparing across species will both allow us to understand better how species form and to delimit species in a more robust and comparable way. For this work, we focus on over 30 species of North American lizards.
Tool development & sharing data
As part of our research, we regularly develop new pipelines for preparing and analyzing high-throughput sequencing data, including transcriptome, target capture, and ddRAD data. We strive to make both our code and our data publicly available via our GitHub page and online databases.