Research overview

My research group embraces the urgent need for mammal phylogenetic ecology, which we frame as the application of phylogeny-informed taxonomic knowledge to the study of species ecological interactions. More colloquially: Know your species and their history to ask how and why organisms interact.

Our integrative specimen-based research unites organismal, genomic, computational, and synthetic approaches to study eco-evolutionary processes. Why specimens? Well, preserved natural history specimens (including frozen tissues, skins, skeletons, endo-/ecto-parasites, blood, feces, and fluid-preserved whole organisms) are nothing less than the physical basis for our collective knowledge of Earth's biodiversity. Every data point in public databases like GBIF or GenBank comes from some organism however, only the fraction of observations that are preserved as specimens are available for future workers to gather now-unimagined data. Our lab contributes to growing this 300-year record of the natural world while using it to query the processes under which biodiversity was generated.

Projects at global to local scales. We engage in a range of interdependent activities to investigate the evolution of species interactions in wild mammals, including fieldwork, biodiversity genomics, phylogenetics, and large-scale data integration (see below; green arrows highlight native Arizona species; silhouettes from phylopic.org or open fonts). This work aims to build both digital capacity integrating silos of biodiversity and biomedical knowledge and physical capacity via the holistic collecting of natural history specimens. By unifying perspectives across scales, our research advances understandings of eco-evolutionary processes spanning from speciation to viral spillover.

Types of questions we ask [and some related projects]

1. What are the species in a clade or region, and how do they interact? (taxonomy and biodiversity data)

Species are at the core of all biodiversity science circumscribing which species are present is the baseline for studying patterns of ancestor-to-descendent relationship among those species, and, in turn, the historical processes that produced those divergences. Species names are just the beginning: the meaning of names varies widely depending on which data are considered by which authors, so careful data synthesis is often needed. In our lab, we do both species delimitation at a local-to-regional level (e.g., analyses of gene flow, phylogeography) and species synthesis globally (e.g., curating data on genetic relationships, geographic ranges, ecological traits, and their taxonomic history). This includes recording known observations of species interactions, including host-virus data and the evidence of that interaction. Doing this work requires improving upon the mammal tree of life, including the development of more sophisticated tools for updating the species name labels for the millions of primary-source observations in global databases (e.g., GBIF, GenBank). It also requires new tools for mining interaction data from published literature, which was the focus of our 2021-2023 NIH R21 grant.

  • Leadership of the Mammal Diversity Database (MDD): In alliance with the American Society of Mammalogists, we are keeping track of species- and higher-level taxonomic changes for ~6,700 currently recognized species.
    • Mammal taxonomy versions 2024. MDD v1.13 [Data set]. Zenodo. | 2018. Journal of Mammalogy.
    • Taxonomic curation and data stewardship Range maps: 2022. Journal of Biogeography. | mddmaps R Package. CRAN. Idea abstracts 2022. BISS. | 2021. BISS. | 2020. BISS.
  • Host-symbiont interactions. Which mammal species have which viral, bacterial, and fungal symbionts? How are pathogens shared among species, and how do pathogen networks relate to risks of wildlife disease spillover? We are studying these processes at both global scales across mammals and more local mechanistic scales in Arizona.
    • Mammal-virus data curation Perspectives: 2021. Lancet Planetary Health. | 2021. History & Philosophy of the Life Sciences. | 2020. BioScience.
    • Viral discovery collaborations 2023b. Virology. | 2023a. Virology. | 2022. Archives of Virology.
  • Madrean Sky Islands and Phoenix desert remnants. We are studying gene flow and pathogen sharing within these Arizona habitat-island systems What are the patterns of genetic and ecological exchange? Does gene flow (vertical transmission) predict pathogen sharing to greater extent than current environment (horizontal transmission)? Among island rodent gene flow and viral sharing are our initial focus, but with parallel projects on gut microbe and lung fungal communities.
    • Rodent-virus interactions in the Santa Catalina Mountains Preliminary projects summarized in 2024 CAP LTER poster.

2. How fast are lineages diversifying? (phylogenetic rates and gene flow)

Estimating the timing and rates of past evolutionary events allows for testing which concurrent events or processes may have caused rates to vary. Fossils are the primary means by which we anchor the relative divergence times (estimated from homologous genetic or morphological changes) into absolute time of years. Mammals, and especially rodents, have well-studied fossil records that allow us to reliably root our genomic analyses in the timescale of earth-history events. The dual importance of fossil and molecular insights is increasingly recognized; extant-only phylogenies cannot tell us everything we want to know about the past, but they can tell us about processes near the present day (often moreso than fossils). Our work has shown that while fossil rate signatures are absent from older lineages of the extant tree, lineages younger than 10-million years (Ma) are unbiased. Thus, there is considerable promise in continuing to integrate fossil, molecular, and ecological trait data (e.g., proxies of body size, feeding mode, or vagility) into studies of eco-evolutionary dynamics. We are investigating how rates of speciation, extinction, and trait evolution vary relative to their population-level covariates of gene flow or isolation to better understand these processes.

  • Mammal macroevolutionary rates: The species-level mammal tree that I built during my postdoc used the backbone-and-patch approach of propagating uncertainty in divergence times and topologies across a credible set of trees. The resulting tip speciation rates have opened doors for analyses of rate variation relative to the fossil record, ecological causes of that rate variation, and related projects.
  • Fossil and living bat diversification: What can a full view of bat fossil diversity through time tell us about their current biology? Collaborations with Matt Jones (ASU SOLS) and Justin Baez (now PhD student at UChicago) have focused on curating bat fossil occurrences globally to analyze the abiotic and biotic causes of speciation- and extinction-rate variation.
    • Macroevolutionary rates through time 2023. Poster at SVP (in prep manuscript).
  • Gene flow in habitat islands of western North America: Initial studies in the Great Basin Desert when I was an undergraduate have given rise to our lab's current sampling of Sonoran Desert habitats.
    • Kangaroo mouse phylogeography (sand dune islands) 2012. Journal of Mammalian Evolution. | 2011. Journal of Biogeography. | 2008. Journal of Biogeography.
    • Rodent gene flow across the Madrean Sky Islands (montane forests) and Phoenix Metro area (urban desert remnants) 2024. Poster at the CAP-LTER All Scientists Meeting.

3. By what ecological and genomic processes? (comparative methods)

The genomic consequences of species interactions with other organisms (biotic) or the environment (abiotic) are at the core of what our lab aims to investigate, but we recognize that doing so requires reliable answers to questions 1 and 2 above. For this reason, we move forward on all three questions jointly, using an iterative approach to advance the field in all areas. In our lab, we are focusing on two main areas currently:

Other projects biodiversity data liberation, island extinctions

Understanding the Earth's biodiversity is more important than ever. Yet sharing basic knowledge about biodiversity is currently far too difficult, representing a key roadblock to scientific progress and informed policymaking. The published research and observations of scientists worldwide – spanning, from species distributions to traits and interactions – are too often locked in disconnected and inaccessible literature. Opening up what is known about biodiversity from publications within a network of connected, curated, and digitally accessible knowledge bases is therefore a fundamental challenge for the global research and policy communities to address.

Mammal extinctions have been greater in the Caribbean archipelago than anywhere globally, yet exactly how many species and their timing of last occurrences has not been well understood. I helped organize a 2015 ASM symposium and a 2019-2021 SESYNC working group to untangle these dimensions, including in other island systems.

  • Liberation of global biodiversity data from publications:
    • Perspectives The Disentis Roadmap (forthcoming) | 2021. Lancet Planetary Health. | 2021. History & Philosophy of the Life Sciences. | 2020. BioScience.
  • Living and extinct island endemic mammals:
    • All Caribbean mammals 2017. Annual Review of Ecology, Evolution, and Systematics. | 2017. Journal of Mammalogy. | 2021. Proceedings B.
    • Cuban hutias 2017. Journal of Mammalogy. Dominican Republic bats 2017. Journal of Mammalogy.
    • Madagascar mammals 2023. Nature Communications.