Every fall, Northeastern America monarch butterflies (Danaus plexippus) undergo an extraordinary migration to their overwintering site in Central Mexico. During their long migration, monarch migrants use sun compass to navigate. To maintain a southward flying direction, monarch migrants compensate for the continuously changing position of the sun by providing timing information to the compass using their circadian clock. Animal circadian clocks depend primarily on a negative transcriptional feedback loop to track time. I started my work to re-construct the monarch butterfly circadian clock negative feedback loop in cell culture, focusing on homologs of Drosophila clock genes. It turned out that in addition to a Drosophila-like cryptochrome (cry1) gene, a second mammalian-like cry2 gene exists in monarch butterflies and many other insects, except in Drosophila. The two CRYs showed distinct functions in our initial assays in cultured Drosophila Schneider 2 (S2) cells. CRY2 functions as a potent transcriptional repressor, while CRY1 is light sensitive but shows no obvious transcriptional activity. The existence of two cry genes in insects changed the Drosophila-centric view of insect circadian clock. During the course of my study, our lab obtained a monarch cell line called DpN1 cells. These cells possess a light-driven clock and contributed tremendously to the research on monarch circadian clock. Using this cell line, I provided strong evidence supporting monarch CRY2’s role as a major circadian clock repressor and identified a protein-protein protective interaction cascade underlying the CRY1-mediated resetting of the molecular oscillator in DpN1 cells. I continued my work trying to understand how insect CRY2 inhibits transcription. I provided evidence suggesting the involvement of monarch PER in promoting CRY2 nuclear entry in both S2 cells and DpN1 cells. Finally, I mapped CRY2’s transcriptional inhibitory activity onto its N-terminal domain. Collectively, my research helped to change our view of insect clocks from a Drosophila-centric standpoint to a much more diverse picture. My studies also advanced the understanding of monarch circadian clock mechanism, and provides a foundation for further studies.

Butterfly weed (Asclepias tuberosa) is a primary larval food source for the monarch butterfly (Danaus plexippus). Planting more butterfly weed may stimulate declining monarch populations. To that end, a habitat suitability map was created for Mississippi in GIS using soil pH, soil texture, and land cover. Herbarium data were derived from the Southeast Regional Network of Expertise and Collections (SERNEC) database. Environmental data were from the USDA National Resource Conservation Service geospatial data gateway. Frequency analysis was used to assign scores to environmental variables of SERNEC occurrences using a suitability index. Global positioning systems (GPS) locations of butterfly weed were collected to validate the model. The most suitable model with 78.9% of GPS points in medium to high suitability was a weighted sum overlay with land cover 50%, soil pH 25%, and soil texture 25%. The suitability map may enable conservationists to identify suitable sites for butterfly weed in Mississippi.

Migratory insects are vital components of global ecosystems and provide important ecosystem services, yet the migration phenomenon is understudied in insects compared to vertebrates. In this thesis, I aim to deepen our understanding of insect migration, using the monarch butterfly Danaus plexippus (L.) and the painted lady butterfly Vanessa cardui (L.) as model systems. Studying insect migration is notoriously difficult given the small size, high abundance, and short lifespans of insects. Isotope geolocation has shown promise for overcoming these obstacles. Here, I develop and apply metals and metal isotopes, specifically strontium isotope ratios (⁸⁷Sr/⁸⁶Sr), to increase the spatial precision of isotope geolocation and demonstrate how isotopic geolocation tools can advance our understanding of insect migration at the population level. In the first chapter, I test the validity of using ⁸⁷Sr/⁸⁶Sr, lead isotopes, and a suite of 23 metals and metalloids to estimate the natal origins of migratory insects, by investigating the pathways of metal incorporation into butterfly wing tissues. Using an 8-week diet-switching experiment, I show that the concentrations of many metals in insect wings can be altered through the adult diet or dust deposition, making them poor candidates for geolocation but potentially interesting tools to study insect physiology, diet, or toxicology. For example, lead was found to accumulate on butterfly wings from external sources, and lead isotopes could potentially be used to quantify the exposure of migratory insects to metal pollution. Some metals, including Ba, Cs, Mg, Na, Rb, Sr, Ti, Tl, and U, are good candidates for developing geolocation tools. I focused on ⁸⁷Sr/⁸⁶Sr and demonstrated that, despite some caveats, this tool is valid for isotope geolocation. In the second chapter, I outline the steps required to use ⁸⁷Sr/⁸⁶Sr for the geolocation of insects, including the calibration of a spatial model of isotopic variation (i.e., an isoscape) using random forest regression. I then combine hydrogen isotope values (δ²H) and ⁸⁷Sr/⁸⁶Sr into a dual assignment framework to estimate the natal origins of a single generation of monarch butterflies in eastern North America. I demonstrate that combining these two isotopes provides a more spatially constrained estimate of natal origin than using either isotope alone. In the third chapter, I apply this framework to characterize the migratory patterns and migratory connectivity of an insect species across a geographical barrier, the Sahara. Painted ladies journeying northwards across the Sahara appear to do so in a gradual progression, although spatiotemporal sampling limitations prevented a complete characterization of this movement. In contrast, painted ladies migrating southwards appear to journey in a broad front, parallel migration pattern with little longitudinal movement. Evidence for a leapfrog migration pattern was found in the western region, wherein butterflies of northernmost origin journey farther south than butterflies bred in more southerly regions. This leapfrog migration pattern suggests distinct migratory behaviours within painted lady butterflies wherein some individuals migrate longer distances than others. In the fourth chapter, I apply isotope geolocation to characterize the migration distances of multiple individuals and assess the potential genetic differentiation of butterflies migrating distinct distances. I use δ²H and ⁸⁷Sr/⁸⁶Sr-based geographic assignment to confirm that some painted ladies migrate up to 4,000 km from Europe to sub-Saharan Africa, while others migrate shorter distances from Europe to the circum-Mediterranean region. Despite these differences in migration distance, genome-wide analysis revealed a lack of adaptive variation between short- and long-distance migrants. Instead, variation in migration distance in painted lady butterflies is likely the result of a plastic response to environmental conditions. Overall, the methodological developments presented in this thesis are a step forward in studying insect migration. The development and application of metals and metal isotopes for insect geolocation opens new avenues to study the migration phenomenon at different scales with widespread relevance for conservation and pest management.