Bud dormancy is an essential characteristic of deciduous woody perennials, including apple, to cope with the low temperatures during winter. The release from dormancy and subsequent budburst in apple can only occur after fulfillment of chilling and heat requirements. In the Mid-Atlantic region, dormancy release and bud break of apple often coincide with late-spring freezes that cause severe damages to flowers, and small fruitlets. Therefore, the present study aimed to better understand mechanisms underlying bud dormancy in apple, with an ultimate goal of exploring chemical and/or genetic approaches for bloom-time modulation to avoid spring frost. Using two apple cultivars, 'Cripps Pink' and 'Honeycrisp,' representing early- and late-blooming cultivars, respectively, the present study specifically investigated the accumulation kinetics of plant hormones, carbohydrates, and reactive oxygen species (ROS) throughout the dormancy-regrowth cycle. Our results indicated that both cultivars required 1000 chilling hours for endodormancy release, but 'Honeycrisp' required 1000 growing degree hours (GDHs) more than 'Cripps Pink' for ecodormancy release and budburst. Among plant hormones, abscisic acid (ABA) showed remarkably elevated levels in the dormant buds of both cultivars during endodormancy, but its levels were significantly higher in 'Honeycrisp'. The decline of the ABA level at bud burst was combined with increased levels of cytokinin (CK). The ABA accumulation pattern during dormancy paralleled with an upregulation and downregulation of ABA biosynthetic and catabolic genes, respectively. On the other hand, the levels of hydrogen peroxide (H2O2) and superoxide (O2.-) were significantly higher in 'Cripps Pink' than 'Honeycrisp', particularly by the time of endodormancy and ecodormancy release, respectively. Our findings also showed a gradual decline in starch levels with the dormancy progression and increased levels of total soluble sugars (TSS) that were generally higher in the early-blooming cultivars. Transcriptomic profiling and module-trait relationship identified two modules that contrast between two cultivars mainly during eco-dormancy. Gene ontology (GO) analysis indicated that these DEGs were mostly involved in pathways related to hormones and signaling and co-expressed with H2O2 whereas, during ecodormancy pathways related to glutathione metabolism, auxin biosynthesis, carbohydrate metabolism and reproductive development were co-expressed with O2.-. Together, our results suggest that the contrasting bloom dates between 'Cripps Pink' and 'Honeycrisp' can be explained, at least partially, by the differential accumulation levels of ABA, ROS, antioxidants, and their associated genes in the buds of these cultivars throughout the dormancy cycle. / Doctor of Philosophy / Spring frosts represent a significant threat to apple production in many fruit-producing states of the United States including Virginia. The risk of frost damage is rising due to global climate change, and there is a high demand for effective measures to reduce frost damage. Exogenous applications of plant growth regulators (PGRs) to delay bloom has been suggested as an effective frost avoidance strategy, but with limited success. Therefore, the present study aimed to investigate molecular and biochemical pathways regulating bud dormancy and bloom time in apple, which can ultimate lead to novel approaches for bloom delay and frost mitigation. To this end, the accumulation patterns of major plant hormones (e.g. abscisic acid, ABA, cytokinin, CK and jasmonic acid, JA), reactive oxygen species (ROS) and carbohydrates (e.g. starch, sucrose, glucose and fructose) were thoroughly monitored throughout the dormancy-regrowth cycle in two apple cultivars, 'Cripps Pink' and 'Honeycrisp,' representing early- and late-blooming cultivars, respectively. Both these cultivars had similar chilling requirements (1000 chilling hours) but differed in their heat requirements; with 'Honeycrisp' requiring 1000 growing degree hours more than 'Cripps Pink'. Among plant hormones, ABA increased with the progression of dormancy and decreased with dormancy release in both cultivars. However, ABA levels were significantly higher in 'Honeycrisp' compared to 'Cripps Pink'. On the contrary, during dormancy release, the growth-promoting hormone, CK, increased earlier in 'Cripps Pink'. The levels of ROS, e.g., hydrogen peroxide (H2O2), and superoxide (O2.-), were also higher in 'Cripps Pink' than 'Honeycrisp', particularly by the time of endodormancy and ecodormancy release, respectively. Our data showed that starch levels generally declined during dormancy, whereas soluble sugars increased. However, there was no significant alternations in the carbohydrate accumulation profiles between the two cultivars that could account for the differences in their bloom dates. These results were verified further at the transcriptomic level. Using the RNA-sequencing technology, identified two modules that contrast between two cultivars mainly during eco-dormancy. Gene ontology (GO) analysis indicated that these genes were mostly involved in pathways related to hormones and signaling and co-expressed with H2O2 whereas during ecodormancy pathways related to glutathione metabolism, auxin biosynthesis, carbohydrate metabolism and reproductive development were co-expressed with O2.-. Overall, our results suggest that ABA, cytokinin, H2O2, and O2.- may, at least partially, explain the differences in the bloom time between the two apple cultivars. Further analysis of these molecules and their associated genes in other apple cultivars with contrasting bloom dates is necessary for better understanding of bloom time regulation in apple and developing strategies against frost damage.

Deficits in skeletal muscle mitochondrial metabolism are associated with a wide variety of chronic skeletal muscle and metabolic-related diseases, including diabetes and sarcopenia. Even in patients with advanced skeletal muscle-related diseases, exercise is a well-established method to improve skeletal muscle mitochondrial metabolism, culminating in enhanced whole-body metabolism and decreased disease severity. In response to exercise, there is an increase in reactive oxygen species (ROS) production. Historically, ROS were solely considered to drive disease development. However, ROS are also required for physiological adaptation and many questions still remain regarding their downstream pathways. One significant producer of skeletal muscle ROS with exercise is Nadph oxidase 4 (Nox4). Nox4 is unique compared to other Nox members as it predominantly produces hydrogen peroxide (H2O2), an effective signaling molecule. Here we demonstrate an essential role for Nox4 in mediating the beneficial effects of exercise. This work will contribute to our understanding of physiological ROS and their downstream targets by identifying a novel role for Nox4 in exercise adaptation. Further defining the molecular events that promote exercise adaptation will be essential for formulating new treatment strategies for patients with chronic metabolic diseases. / Doctor of Philosophy / Exercise is a widely effective tool for both preventing and reversing disease. Even patients with advanced skeletal muscle and metabolic-related diseases can benefit from continual and repeated exercise training. While decades of work have supported the effectiveness of exercise as a therapeutic intervention, the mechanistic understanding of what occurs at the cellular level remains incomplete. Here, we elucidate a novel pathway mediating important metabolic adaptations to exercise. In response to exercise stress, reactive oxygen species (ROS) are produced in skeletal muscle. ROS facilitate metabolic adaptations to meet the body's need for increased energy. One significant source of ROS comes from Nadph oxidase 4 (Nox4) which plays an essential role in metabolic regulation. The skeletal muscle metabolic response to stress is largely dependent on adaptations that include changes in gene expression, substrate oxidation, and mitochondrial metabolic adaptations. These mitochondrial adaptations include mitochondrial recycling after exercise in skeletal muscle (referred to as mitophagy). We have shown that Nox4 increases the expression of a subset of metabolic genes, is required for substrate oxidation after exercise, and is important for exercise-induced mitophagy.

Projecting environmental niche models through time is a common goal when studying species response to climatic change. Species distribution models (SDMs) are commonly used to estimate a species' niche from observed patterns of occurrence and environmental predictors. However, a species niche is also shaped by non-environmental factors--including biotic interactions and dispersal barrier—truncating SDM estimates. Though truncated SDMs may accurately predict present-day species niche, projections through time are often biased by environmental condition change. Modeling niche in a phylogenetic framework leverages a clade's shared evolutionary history to pull species estimates closer towards phylogenetic conserved values and farther away from species specific biases. We propose a new Bayesian model of phylogenetic niche implemented in R. Under our model, species SDM parameters are transformed into biologically interpretable continuous parameters of environmental niche optimum, breadth, and tolerance evolving under multivariate Brownian motion random walk. Through simulation analyses, we demonstrated model accuracy and precision that improved as phylogeny size increased. We also demonstrated our model on a clade of eastern United States Plethodontid salamanders by accurately estimating species niche, even when no occurrence data is present. Our model demonstrates a novel framework where niche changes can be studied forwards and backwards through time to understand ancestral ranges, patterns of environmental specialization, and niche in data deficient species. / Master of Science / As many species face increasing pressure in a changing climate, it is crucial to understand the set of environmental conditions that shape species' ranges--known as the environmental niche--to guide conservation and land management practices. Species distribution models (SDMs) are common tools that are used to model species' environmental niche. These models treat a species' probability of occurrence as a function of environmental conditions. SDM niche estimates can predict a species' range given climate data, paleoclimate, or projections of future climate change to estimate species range shifts from the past to the future. However, SDM estimates are often biased by non-environmental factors shaping a species' range including competitive divergence or dispersal barriers. Biased SDM estimates can result in range predictions that get worse as we extrapolate beyond the observed climatic conditions. One way to overcome these biases is by leveraging the shared evolutionary history amongst related species to "fill in the gaps". Species that are more closely phylogenetically related often have more similar or "conserved" environmental niches. By estimating environmental niche over all species in a clade jointly, we can leverage niche conservatism to produce more biologically realistic estimates of niche. However, currently a methodological gap exists between SDMs estimates and macroevolutionary models, prohibiting them from being estimated jointly. We propose a novel model of evolutionary niche called PhyNE (Phylogenetic Niche Evolution), where biologically realistic environmental niches are fit across a set of species with occurrence data, while simultaneously fitting and leveraging a model of evolution across a portion of the tree of life. We evaluated model accuracy, bias, and precision through simulation analyses. Accuracy and precision increased with larger phylogeny size and effectively estimated model parameters. We then applied PhyNE to Plethodontid salamanders from Eastern North America. This ecologically-important and diverse group of lungless salamanders require cold and wet conditions and have distributions that are strongly affected by climatic conditions. Species within the family vary greatly in distribution, with some species being wide ranging generalists, while others are hyper-endemics that inhabit specific mountains in the Southern Appalachians with restricted thermal and hydric conditions. We fit PhyNE to occurrence data for these species and their associated average annual precipitation and temperature data. We identified no correlations between species environmental preference and specialization. Pattern of preference and specialization varied among Plethodontid species groups, with more aquatic species possessing a broader environmental niche, likely due to the aquatic microclimate facilitating occurrence in a wider range of conditions. We demonstrated the effectiveness of PhyNE's evolutionarily-informed estimates of environmental niche, even when species' occurrence data is limited or even absent. PhyNE establishes a proof-of-concept framework for a new class of approaches for studying niche evolution, including improved methods for estimating niche for data-deficient species, historical reconstructions, future predictions under climate change, and evaluation of niche evolutionary processes across the tree of life. Our approach establishes a framework for leveraging the rapidly growing availability of biodiversity data and molecular phylogenies to make robust eco-evolutionary predictions and assessments of species' niche and distributions in a rapidly changing world.

As the global population rises, the demand for food increases which underscores a need for improvement in food security. Disease pressures are a major concern surrounding sustainable agriculture. Static crop populations, containing little to no genetic diversity, are vulnerable to diverse pathogen populations. Wild relatives of crop plants are a reservoir for new disease resistance traits that can be introgressed into cultivated crops. The identification of novel disease resistance is of paramount importance because pathogen co-evolution is not only defeating current resistance genes (R genes) but chemical controls as well. Phytophthora sojae (P. sojae), the causal agent of Phytophthora root and stem rot disease, reduces soybean harvests worldwide. We developed an approach to screen for new R genes that recognize core effectors from P. sojae. We expect R genes identified by these screens to be durable because P. sojae requires core effectors for virulence. We utilized effector-based screening to probe Glycine soja germplasm with core RXLR effectors from P. sojae to search for novel R genes. We developed segregating populations from crosses of P. sojae resistant G. soja germplasm with susceptible G. max cultivar Williams to determine inheritance of potential R genes in germplasm that responded to core effectors. We are using marker assisted breeding to map disease resistance traits in recombinant inbred (RI) lines. To better understand pathosystems, we examined host resistance and susceptibility using bioinformatics. We analyzed the interaction between Arabidopsis thaliana ecotype Col-0 and Hyaloperonospora arabidopsidis isolate Emwa1 using a publicly available RNA time-course experiment. We describe a new algorithm to sort genes into time-point specific clusters using activation and repression parameters. Gene ontology annotations were used to identify defense genes with unique expression profiles, and A. thaliana null mutants for these genes were significantly more susceptible to Emwa1 than wild-type. We plan to use these tools to rapidly identify and guide introgression of durable disease resistance into crop species. / Ph. D.

Artificial shelters show great promise as novel, non-invasive tools for studying hellbenders, but their use thus far has faced several challenges. During initial trials in multiple river networks, artificial shelters routinely became blocked by sediment and dislodged during high stream discharge events, and were rarely used by hellbenders. We sought to determine whether these complications could be overcome via alternative shelter design, placement, and maintenance. Between 2013 and 2018, we deployed 438 artificial shelters of two different designs across ten stream reaches and three rivers in the upper Tennessee River Basin. We assessed evidence for several hypotheses, postulating broadly that the availability, stability, and use of artificial shelters by hellbenders would depend on how shelters were constructed, deployed, and/or maintained. We found that maintaining shelters at least once every 40 days limited sediment blockage, and building ~ 40 kg shelters with 3-4 cm thick walls and recessed lids improved their stability during high discharge events. Additionally, we found that hellbenders most frequently occupied and nested in artificial shelters when they were deployed in deeper (~50+ cm) portions of reaches with high adult hellbender densities. Our results suggest that artificial shelters can serve as effective tools for studying hellbenders when designed, deployed, and maintained with these advancements, but also highlight some limitations of their use. / Master of Science / Hellbenders are large, fully-aquatic salamanders that live primarily in cool, rocky, swift-flowing streams in portions of Appalachia and the lower Midwest. They are imperiled across most of their native range due to human-caused habitat degradation, but their declines, conservation needs, and population status have historically been difficult to study due to the fact that they spend the majority of their lives beneath large, often inaccessible boulders. While these boulders are sometimes possible to lift, doing so can disturb critical hellbender habitat. Therefore, alternate, less invasive hellbender sampling methods are necessary in order to improve knowledge about their conservation status and needs. Artificial shelters, which are large, hollow, concrete structures that mimic natural boulder crevices and feature removable lids, show promise as a novel, innovative tool for non-invasively studying hellbenders. However, initial trials of these shelters have yielded mixed results, with shelters often becoming swept away and destroyed during floods, becoming blocked by sand and sediment and thus inaccessible to hellbenders, or simply not being used by hellbenders when accessible. We sought to determine whether these complications could be overcome by optimizing the way that shelters were constructed, deployed, and maintained in streams inhabited by hellbenders. Between 2013 and 2018, we deployed 438 artificial shelters of two different designs across ten stream reaches and three rivers in the upper Tennessee River Basin. Using multiple analyses, we tested one broad overall hypothesis: that the efficacy of using artificial shelters to study hellbenders would depend on how they were constructed, how frequently they were maintained, and where they were placed in the stream. We found that maintaining shelters at least once every 40 days limited sediment blockage, and building ~ 40 kg shelters with 3-4 cm thick walls and recessed lids improved their stability during flood events. Additionally, we found that hellbenders most frequently occupied and nested in artificial shelters when they were deployed in deeper (~50+ cm) portions of reaches with high adult hellbender densities. Our results suggest that artificial shelters are effective tools for studying hellbenders when designed optimally, maintained frequently enough, and placed in appropriate locations. However, exceptions to these findings may exist in certain heavily degraded stream reaches.

The red imported fire ant, Solenopsis invicta, is an abundant and aggressive component of early-successional communities in the southeastern United States. After disturbance, it rapidly invades new habitats, and once there, it has strong competitive and predatory effects on the existing arthropod community. In upland coastal plain pine forests at the Savannah River Site in South Carolina, I conducted two studies of fire ant ecology. In my first study (chapter 1), I investigated the way in which fire ants colonize early-successional road and powerline cuts through forests, and I tested whether some of these linear habitats provided better fire ant habitat than others. I found that fire ant mound density (#/ha) was similar in narrow dirt roads and in wider roads with the same intermediate level of mowing disturbance, and that density was lower in wide powerline cuts where the vegetation is only removed every five years. Furthermore, mound density was greatest near the edges of cleared roads and powerline cuts and was also greater on the northern sides of roads and powerline cuts where there was less shading from the adjacent forest. Results from this study suggest that allowing increased shading from adjacent forest vegetation, especially along northern roadside edges, would limit the suitability of road and powerline cuts as fire ant habitat, thereby slowing invasion. In my second study (chapter 2), I examined the impact of fire ants on arthropod and plant species in early-successional forest gaps. In a tritrophic system, I tested whether the top-down effect of insect herbivore consumption by fire ants was strong enough to cascade through two trophic levels and improve plant growth and fitness. I compared this potential effect to that of other arthropod predators in the community. I found that fire ants controlled the level of tissue damage to plant leaves by herbivores, but that the damage was not severe enough to influence plant growth or fitness. Fire ants had stronger negative interactions with insect herbivores than other predators in the community, and for this reason, fire ants can be considered keystone predators. This project provides further evidence that fire ants successfully invade even small patches of early-successional habitat that exist within larger matrices of uninhabitable, late-successional forest, and that once there, they have a dramatic effect on the arthropod community. Restricting the amount of early-successional habitat within southeastern forests, either as permanent road and powerline cuts or as temporary gaps, would limit the potential for strong and detrimental effects by the invasive fire ant. / Master of Science

Iron corrosion is an extremely complicated process because numerous factors such as pH, DO, temperature, inhibitor, and other various constituents in water can exert a controlling influence. The economic importance of problems that are caused by corrosion has been recognized. Therefore, the necessity of better understanding corrosion phenomenon is apparent. The effect of phosphorus, especially in oxidation states different than phosphate (+V) (e.g., PO3-3, PO2-3 and PH3 gas), on anaerobic iron corrosion was examined. Tests were conducted at pH 3, 7, and 10- 11 in a solution of 10-3 M NaCl. There was not a significant catalytic effect of phosphorus species on anaerobic iron corrosion. Higher levels of PH3 did markedly increase H2 evolution, consistent with observations of other researchers, but it is possibly due to oxidation of PH3 by iron surfaces with production of H2. Various constituents were also tested for iron corrosion in anaerobic solution [Al3+ (soluble), Al(OH)3, Cu2+, Si(OH)4, Boron, NOM, and sulfide] at pH pH 3, 7, and 10-11. None of these appeared to inhibit corrosion compared to a control. At pH 7, soluble Al3+ and Cu2+ in solution led to much higher production of H2 relative to a control. Phosphorus species had little impact on iron corrosion rates in the presence of sulfides (198 mg/L as S2-). In much of the research, recovery of H2 in the headspace was much lower than was predicated based on classic equations. This implies that some other, and as yet unappreciated, reactions are occurring in this system. However, in other instances the recovery of hydrogen was consistent with classical theory. Future work should examine the circumstances in which agreements and disagreements with classic theory occur. / Master of Science

Invasive species are reported as one of the top current and future concerns for the health and functioning of native ecosystems. In response, identification of invasive plant impacts are one of the top most studied aspects of plant invasions. Yet we still know very little about invasive plant impacts, and many land managers remove invasive plants not because of known negative impacts, but because of the general negative connotation associated with invasions. Here, I develop and utilize integrative methods to more holistically measure the ecological impacts of invasive plants. I develop a meta-analysis of current invasive plant impact literature, I integrate independent ecosystem metrics into holistic measures of total ecological impact, I examine the potential for legacy and temporal effects in newly established and recently managed invasions, and I measure ecological impact of co-invaded ecosystems. Through these studies, I find that magnitude, and not direction, of impact better represents actual ecosystem changes when evaluating invasions holistically. I also find invasive plant management may not only fail to remove long term legacy effects, but may in some cases further negatively impact the plant community. Finally, I find that co-invaded systems are not intrinsically worse off than single invaded systems. Collectively, these studies help to better our understanding of the impacts of invasive plants and their implications for management, and show that simple attempts at eradication may not always be desirable. / Ph. D.

All species on Earth occupy limited geographic space. More than a century of observational, experimental, and theoretical work investigating the factors that drive species distributions have demonstrated the importance of the interactions between abiotic, biotic, and demographic factors in determining why species are found where they are. However, it is still unclear when and where these factors interact to set species range limits. Filling the existing knowledge gaps is imperative for the accurate predictions of how species will respond to global change, and particularly for invasive species, many of which are expected to benefit from global change. Here, I sought to investigate the mechanisms that enable, as well as limit, the range expansion of the globally invasive plant Sorghum halepense (L.) Pers. (Johnsongrass). I performed a series of field and laboratory experiments to study population and range dynamics throughout Johnsongrass's North American distribution, and test for the effects of climate, local habitat, and competition on multiple functional traits. I found Johnsongrass consistently demonstrated impressive performance across varying environments, often growing more than 3 m tall, producing hundreds of flowering culms within a single growing season, and maintaining positive population growth rates, even under intense competition with resident weeds. I also found evidence that seed germination has adapted to varying climates encountered during Johnsongrass's range expansion resulting in a shift in the germination temperature niche from warmer to cooler as Johnsongrass spread from warmer climates in the south to more temperate climates in higher latitudes. This shift in the germination temperature niche may have been an important contributing factor in the range expansion of Johnsongrass by enabling the optimization of seed germination in varying climates. On the other hand, results from a field study suggested a possible trade-off between flowering time and growth in populations originating from the range periphery (i.e., range boundary) which may be limiting, or slowing, continued range expansion of Johnsongrass. Together, the outcomes of this work contribute to our understanding of the factors involved in the distribution of species, which is a fundamental goal of Ecology, and essential to accurately predict how invasive species will respond to global change. / Doctor of Philosophy / Invasive species threaten our natural ecosystems, our agricultural systems, and even our infrastructure, and we spend billions of dollars each year attempting to control them and reduce their negative impacts. Climate change, habitat destruction, and other forms of global change, will benefit many of these species, magnifying their impacts and promoting their invasion into new territories. Because of the damaging effects of invasive species, and the costs to control them, it is imperative that we are able to predict how they will respond to global change so that we can improve plans to reduce their impact and spread. First, we need to understand the processes that promote their invasion across large swaths of land. Just as importantly, we must study the processes that prevent their invasion of certain areas. Here, I investigated some of the processes that have facilitated, as well as hampered, the spread of the invasive plant Johnsongrass. For this work, I used Johnsongrass plants originating from different habitats, including regions where Johnsongrass is highly invasive and those where Johnsongrass is very rare. I found Johnsongrass originating from regions where it is highly invasive were able to grow very large and produce thousands of seeds that were able to germinate under a range of conditions. These traits may have contributed to the invasion success of this species. However, I found a different pattern for plants that originated from regions where Johnsongrass is rare. These plants reached reproductive age earlier and grew smaller across all environmental conditions, potentially due to the less hospitable climates of these range edges. These findings allow us to project into future climate change scenarios, because it is likely that, as temperatures warm, invasive species will be able to invade new regions, where they will impact the work of conservationists, natural resource professionals, agricultural produces, and other land managers.

The study of shock-waves in supersonic plasma jets is essential to understanding the complex dynamics involved in many physical systems. Specifically, ion-species separation caused by a shock wave propagating through a plasma is an important but not yet well understood phenomenon. In inertial confinement fusion implosions, a shock wave precedes the rapid compression of a fuel pellet to ignition conditions that theory and computational studies suggest may be separating the fuel and reducing the neutron yield. In astrophysics, the shock wave produced when a supernovae explodes has been shown to have an effect on nucleosynthesis as a result of shock heating. In both these cases the time and length scales make them difficult to study experimentally, but experiments on more reasonable scales can shed light on these phenomena. This body of work provides the basis for doing just that. The work begins by describing the development of a small, linear, plasma-armature railgun designed to accelerate plasma jets in vacuum to high-Mach-number. This is followed by discussion of an experimental campaign to establish a plasma parameter space for the jets, in order to predict how effectively the accelerator can be used to study centimeter-scale shock structures in jet collisions. The final section presents an experimental campaign in which jet collisions are induced, and the resultant structures that appear during the collision are diagnosed to assess how conducive the experiment is to the future study of shock-wave induced species separation in laboratory plasmas. This work is a foundation for future experimental studies of ion-separation mechanisms in a multi-ion-species plasma. This research was supported in part by the National Science Foundation under grant number PHY-1903442. / Doctor of Philosophy / Plasma, the so-called fourth state of matter, is an ionized gas that often behaves like a fluid but can also become magnetized and carry an electric current. This combination leads to a lot of interesting yet often un-intuitive physics, the study of which is very important for understanding a wide array of topics. One subset of this field is the study of shock-wave induced species separation. Just like the shock-wave a jet aircraft produces when it moves through the air at a speed greater than the speed of sound, a plasma shock is characterized by a large change in parameters like density, temperature, and pressure across a very small region. A shock-wave propagating through a plasma can cause different ion species present to separate out, a phenomenon that is driven by the gradients that are present across a shock front. Understanding how these mechanisms work is important to a number of applications, including fusion energy research and astrophysical events. The first section of this work discusses the design and development of a plasma-armature railgun, a device that can produce and accelerate jets of plasma to high-Mach-number within a vacuum chamber. The next and most substantive section of the work presents results from experimental campaigns to characterize the accelerated plasma jets and then to induce plasma-jet collisions with the hope of producing shock-waves that exist on time and spatial scales that can be readily measured in a laboratory setting. This work is a foundation for future experimental attempts to measure separation induced by a shock-wave in order to better understand these complex phenomena.