Other Ecology and Evolutionary Biology Commons^™

Distribution, Abundance, And Population Genetics Of The Alligator Snapping Turtle (Macrochelys Temminckii) In Mississippi, Luke Pearson

Dissertations

The southeastern United States is a freshwater turtle biodiversity hotspot, second only to southeastern Asia, and this region is inhabited by one of the largest freshwater turtles in the world: the alligator snapping turtle (Macrochelys temminckii). This species was heavily harvested from the 1960’s to the 1980’s for the turtle soup industry, apparently contributing to substantial, range-wide population declines. These declines, coupled with anthropogenic impacts on riverine and floodplain habitats, have led to M. temminckii being petitioned for federal listing under the U.S. Endangered Species Act; it is currently under review by the U.S. Fish and Wildlife Service …

Invasion Genetics Of The Non-Native Geckos Phelsuma Grandis Gray 1870 And Gekko Gecko (Linnaeus 1758) In Southern Florida, Usa, Thomas William Fieldsend

FIU Electronic Theses and Dissertations

Biological invasions cause tremendous damage to ecosystems, economies, and human livelihoods worldwide. Florida is home to more established non-native species of reptiles and amphibians than anywhere else on Earth, many of which cause substantial harm to native biodiversity and human well-being. The relatively new discipline of invasion genetics promises to significantly improve the understanding, prediction, prevention, and management of biological invasions. The purpose of this dissertation is to utilize invasion genetics techniques to further understanding of the patterns and processes of biological invasions, especially as they pertain to Florida’s destructive and diverse non-native squamate reptile assemblage. In the first phase …

Global Population Divergence Of A Cosmopolian Desert Plant, Victor Ryan Alfaro

Biology ETDs

Genetic and phenotypic variation can have different patterns within a species if it has populations with contrasting histories. Populations can have discrete differences that are shaped by different evolutionary scenarios, but within each population, range, or region, traits and association with fitness can also be affected by both edaphic and landscape variation. For my dissertation, I surveyed and experimentally analyzed variation and adaptive potential in Sahara mustard (Brassica tournefortii), a desert annual that has endemic, invasive, and agricultural populations in Africa, Asia, and the Americas. Although my multi-trait analysis generated complex results, my findings can be applied to …

Fine-Scale Morphological Divergence Of Wing Trait Variables In Highly Fragmented Populations Of The Bog Copper Butterfly (Lycaena Epixanthe), Jessica L. T. Jeong

Undergraduate Student Research Internships Conference

Habitat fragmentation can adversely affect animal and plant species through subdividing their natural habitats into smaller, more isolated patches. Oftentimes, these isolated groups are subject to reduced dispersal and gene flow, leading to genetic divergence and, consequently, morphological divergence among populations. This study aims to quantify the morphological divergence of the bog copper butterfly, Lycaena epixanthe, between nine isolated bog sites in Algonquin Provincial Park, Ontario, via seven quantitative morphological traits in their wing pattern. Statistical analyses demonstrate significant differences in wing trait measurements between populations. As bog coppers are small, weak fliers with a strict host-plant dependency, it …

Dna Barcoding Of The High-Altitude Artemisia And Nepeta Species, Vyacheslav Dushenkov, Csanad Gurdon, Shukhratdzhon Satorov

Publications and Research

DNA barcoding was performed for four medicinal plant species from the mountain region of Tajikistan. The nucleotide sequences for Artemisia sieberi, Artemisia scoparia, Artemisia vulgaris, and Nepeta glutinosa were deposited into the GenBank at the National Center for Biotechnology Information.

Hybrid Viability: An Analysis Of Drosophila Hybrid Competition And Mating Success Amongst Its Parental Species, Konrad Drzymalski

Honors Theses

The topic of hybrid offspring viability and mating preference between the two parental species of Drosophila athabasca (West Northern) and Drosophila mahican (Eastern A) is a still largely unexplored avenue of study. While the two aforementioned parental Drosophila species exist in distinct geographical regions across North America, they occupy a sympatric zone in the North East. Due to the absence of hybrid offspring in nature and the high levels of sexual isolation between these two parental species, it is necessary to establish if, and how hybrid offspring suffer in nature. By utilizing no choice mating systems involving audio playback of …

Comparison Of Gray Squirrel (Sciurus Carolinensis) And Fox Squirrel (Sciurus Niger) In Order To Explore Genes That Confer A Fitness Advantage, Joshua Franzen

UNO Student Research and Creative Activity Fair

Mutations in the MC1R gene is associated with melanism, or black fur, and the presence of a 24 base pair deletion in the MC1R gene of fox and gray squirrels suggests a shared ancestry between the two species. This could be due to a mutation in a common ancestor or previous mating between species. Evidence has shown that the most likely cause for the presence of MC1R in both species is previous mating between species. If this did occur, then it is possible that other genes traveled between species along with the mutated MC1R gene. Conserved genes shared between species …

A New Vine Snake (Reptilia, Colubridae, Oxybelis) From Peru And Redescription Of O. Acuminatus, Robert C. Jadin, Michael J. Jowers, Sarah A. Orlofske, William E. Duellman, Christopher Blair, John C. Murphy

Publications and Research

The Brown Vine Snake, Oxybelis aeneus, was until recently considered a single species, distributed from southern Arizona through the Neotropics into southeastern Brazil. However, newly conducted research restructured the species with a substantial taxonomic revision, recognizing five additional taxa (i.e. O. koehleri, O. microphthalmus, O. potosiensis, O. rutherfordi, O. vittatus) in this species complex. This revision focused on populations in North America, Central America, and northern South America while neglecting the southern portion of its distribution. Here, we examine the taxonomic history of the complex and use it along with specimen data to resurrect O. acuminatus from southeastern Brazil. Finally, …

Characterizing Patterns Of Genomic Variation In The Threatened Utah Prairie Dog: Implications For Conservation And Management, Rachael M. Giglio, Tonie E. Rocke, Jorge E. Osorio, Emily Latch

Biological Sciences Faculty Articles

Utah prairie dogs (Cynomys parvidens) are federally threatened due to eradication campaigns, habitat destruction, and outbreaks of plague. Today, Utah prairie dogs exist in small, isolated populations, making them less demographically stable and more susceptible to erosion of genetic variation by genetic drift. We characterized patterns of genetic structure at neutral and putatively adaptive loci in order to evaluate the relative effects of genetic drift and local adaptation on population divergence. We sampled individuals across the Utah prairie dog species range and generated 2,955 single nucleotide polymorphisms (SNPs) using double digest restriction site associated DNA sequencing (ddRAD). Genetic …

Applications Of Machine Learning In Microbial Forensics, Ryan B. Ghannam

Dissertations, Master's Theses and Master's Reports

Microbial ecosystems are complex, with hundreds of members interacting with each other and the environment. The intricate and hidden behaviors underlying these interactions make research questions challenging – but can be better understood through machine learning. However, most machine learning that is used in microbiome work is a black box form of investigation, where accurate predictions can be made, but the inner logic behind what is driving prediction is hidden behind nontransparent layers of complexity.

Accordingly, the goal of this dissertation is to provide an interpretable and in-depth machine learning approach to investigate microbial biogeography and to use micro-organisms as …