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2020 Abstracts

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Separation and Detection of Ibuprofen and Warfarin by Capillary Electrophoresis

December 30, 0020 12:00 AM
Covey, Tracy; Alsup, Garrett; Kreinbrink, Alexia (Weber State University)
Faculty Advisor: Covey, Tracy (College of Science, Department of Chemistry and Biochemistry)

Certain over-the-counter medications, such as acetaminophen and ibuprofen, are known to have an effect on the bioavailability of warfarin, enhancing its anticoagulant properties. The goal of this project is to study how varying the concentration of ibuprofen or acetaminophen affects the amount of warfarin bound to blood plasma proteins. To better understand how strong these drug-drug interactions are with warfarin, we proposed capillary electrophoresis (CE) as an analytical method to separate and detect these compounds. Acetaminophen, ibuprofen, and warfarin have all been analyzed using CE in the literature, so we sought to develop a CE method to separate and detect all three drugs together. We are currently optimizing this method and will use this method to investigate warfarin displacement from plasma proteins by ibuprofen and acetaminophen.
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Solutions to address Angular Stability Variances of Long Distance Linear Translation stages and Automation of Kinematic Mirror Mounts.

December 30, 0020 12:00 AM
McDowell, Trevor; Durfee Dallin (Utah Valley University)
Faculty Advisor: Durfee, Dallin (College of Science, Physics)

Interference Pattern Structured Illumination Imaging (IPSII) utilizing Mach-Zehnder Interferometry, allows us to surpass the Abbe Limit of traditional imaging techniques. To aid in this endeavor, my primary objective is to utilize a Michelson-Morley Interferometer with one of the arms being a long-distance, 300mm or greater, linear translation stage. Using the long-distance linear translation stage (LDLTS) to test both the repeatability and as well as angular stability of various LDLTS units so we may take measurements of fringe lines at arcseconds approaching a zero degree of angle. Though many designs currently available for consumer use have the linear repeatability needed, most if not all lack the angular stability needed. As such we are currently experimenting with current designs to see where the variances are and work in improvements so we may design our own LDLTS so we may be able to take such extreme angle measurements. In addition to improving the repeatability and angular stability of LDLTS's, the automation of the kinematic mirror mounts utilizing stepper motors is another primary concern. Our current issue is that we need to be able to adjust the reflecting mirrors on both the x-axis and y-axis and to do this the stepper motors need a travel distance of 27mm along the z-axis. The issue we have is we need a stable mount that addresses any torque lash while keeping them still and allowing movement on the z-axis. Through materials research for what to be used with the LDLTS as well as the stepper motor mounts, we will be able to take data points and processes data at a much greater and more accurate rate than we have in the past. Resulting in more time to conduct experiments and less time waiting for results.
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A Proposal to Investigate Protein Expression of Rhizopus oryzae Biofilms Upon Treatment with Extracorporeal Shockwaves and Amphotericin B

December 30, 0020 12:00 AM
Nanasi Sekona, Ashley Balderrama, Carlos Nunez, Kyle Hendricks, Tyson Hillock, and Dr. Olga Kopp (Utah Valley University)
Faculty Advisor: Kopp, Olga (Utah Valley University, Biology)

Over the last 30 years, the incidence of fungal infections has gradually increased. Mucormycosis is a fungal infection primarily caused by Rhizopus Oryzae. The majority of patients who develop invasive mucormycosis die within 12 weeks of diagnosis. Mucormycosis is commonly treated with an antifungal agent called Amphotericin B (AMB). When used in high concentrations, AMB causes severe side effects such as nephrotoxicity. It has been reported that 99% of microbes exist as biofilm: thus, there is a direct association between mucormycosis and biofilms. Shockwave has been shown to inhibit living bacteria in biofilm, but few studies have focused on the effects of shockwave on fungal biofilm. Previous work in our lab showed that shockwaves were effective in damaging biofilms of R. oryzae; but at the same time helped promote the metabolism of surviving R. oryzae. This study aims to investigate the proteins expressed in fungal biofilms when introduced to different intensities of shockwave coupled with the treatment of AMB. This will be accomplished by culturing sporangiospores and propagating R. oryzae biofilms. Standardized biofilm will be treated with 0.5 µg/mL AMB in 1% DMSO, and/or shockwave treatment of 300 pulses at 0.19 mJ/mm2 energy density to be measured against a control group. The proteins will be extracted, determined by 2D gel electrophoresis, and identified by mass spectrometry. Studying protein expression resulting from combination therapy of extracorporeal shockwave and AMB on R. oryzae biofilm could progress research surrounding the difficulties of mucormycosis treatments. Particularly, research aimed at counteracting the antifungal and antimicrobial resistance contributed by proteins in the fungi's biofilm.
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Transcriptomics of Ephemeroptera (Mayflies): Generation of New Data and Bioinformatics Workflow

December 30, 0020 12:00 AM
Vilela, Ernie; Seal, Isaac; Ogden, Heath T. (Utah Valley University)
Faculty Advisor: Ogden, Thomas (College of Science, Biology Deapartment)

We are interested in using transcriptome data, generated with next generation sequencing technology, to investigate the evolutionary trends of specific genes and their associated expression in mayflies. We generated an additional transcriptome for mayflies. RNA was extracted from a freshly frozen specimen preserved in RNAlater® (Ambion) using TRIzol® Reagent (Ambion) and cDNA libraries were prepared from mRNA. RNA-seq data was generated using a paired-end protocol (PE100) on Illumina HiSeq2000 with an expected 60 million reads. In order to effectively investigate the large amount of sequences, we created a bioinformatics workflow to analyze the newly generated transcriptome data along with previous data for mayflies. The workflow consists of these main steps: Trinity (Assemblying the transcripts), Transdecoder (Identifying candidate coding regions), HMMER (Searching biological sequence databases for homologous sequences). We tested the workflow looking at opsin genes.
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A Study of the Changes in the Oral Microbiome of Horses by Age Group

December 30, 0020 12:00 AM
Forbush, Micah; Gold, Roger (Southern Utah University)
Faculty Advisor: Gold, Roger (Southern Utah University, Biology)

The health of a horse's teeth and oral cavity is strongly correlated with the horse's overall health and well-being. As a horse ages the oral cavity undergoes many distinct physical changes, which may lead to changes in the composition of the oral microbiome as well. While there has been extensive research performed on the oral microbiomes of healthy horses compared to horses with various oral diseases, very little is known about normal changes to the horse oral microbiome as they age. The aim of this study was to use high-throughput sequencing to compare the oral microbiomes of horses in different age categories. Total genomic DNA was isolated from oral swabs taken from horses in the 7 day-old, 1-7 years old, 8-15 years old and 16+ years old age categories. The V3-V4- region of the 16S rRNA gene was amplified by PCR and amplicons were submitted for paired-end sequencing on the Illumina HiSeq system. Sample reads were analyzed using the QIIME 2.0 microbiome bioinformatics platform and overall bacterial diversity was compared among age classes.
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The utilization of UV-light and digital photography to measure chemical concentrations during an organic reaction.

December 30, 0020 12:00 AM
Terreros, Eduardo N.; Dr. Roberts, Andrew G. (University of Utah)
Faculty Advisor: Roberts, Andrew G. (University of Utah, Chemistry)

Chromatography is an indispensable tool in most chemistry laboratories, as it provides a way to separate multiple components within a chemical mixture. The separation can be evaluated by the use of various chromatographic methodologies that have been developed to target specific chemical properties (e.g. size, mass, molecular interactions) of the desired compounds. Chromatographic methods are utilized to gather qualitative information in order to observe more general trends, or quantitative data to further explore observations in greater detail.

Thin Layer Chromatography (TLC) is a well-established method for collecting qualitative data from chemical reactions. Although Quantitative TLC (QTLC) methods have been developed, they are limited due to their high complexity, and cost prohibitive nature. The advancement of a Semi-Quantitative Thin Layer Chromatography (S-QTLC) method will provide a quick, low cost method to track organic reactions. We developed a low-cost alternative that uses readily available materials to gather images of TLC plates and process them into semi-quantitative data. In order to achieve this, we have constructed a small image gathering box made of opaque acrylic fitted with two 254 nm UV lamps and a Raspberry Pi Zero W with a camera module to acquire the images. The images are imported to a PC and processed by a custom built MatLab function. We demonstrated that this system can be utilized to gather qualitative data. Current studies will validate semi-quantitative data collection and reaction tracking and work is currently being done to validate semi-quantitative data collection.
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A Novel Natural Product PIM3 Inhibitor with Anti-Cancer Activity

December 30, 0020 12:00 AM
Fazio, Nicholas; Russell, Michael; Krapohl, John; Andrus, Brayden; Hansen, Marc (Brigham Young University)
Faculty Advisor: Hansen, Marc (Brigham Young University, Physiology and Developmental Biology)

PIM 3 is a proto-oncogene with serine/threonine kinase activity that can prevent apoptosis, promote cell survival and protein translation. Abnormal PIM3 activity contributes to tumorigenesis by phosphorylation of targets that release anti-apoptotic proteins. Pathological PIM3 expression is common in pancreatic and prostate cancer. Inhibiting this kinase activity can be used to therapeutically suppress uncontrolled cell growth in cancerous tissues. Synthetic inhibitors are being developed as therapeutics to treat PIM3 related disorders. Compounds derived from plants and natural sources have therapeutically-relevant biological activity. Additionally, they often well tolerated, making them important starting points for drug discovery efforts. A less widely used approach to discover the biological activity of molecules is built around using a large scale in-silico molecular screening, which has emerged as a critical drug discovery tool. Here, we screen a large (>100,000 compound) virtual library of natural product compounds for binding in the PIM3 ATP binding site, then validate compounds with using cell-based and immuno-based assays. This approach reveals PIM3 inhibition by a saponin scaffold, which suggests potential utility as a therapeutic or as a lead for further optimization.
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Using Redox Active Polymers as Anode and Cathode Species in Redox Flow Batteries

December 30, 0020 12:00 AM
Leininger, Sara; Minteer, Shelley; Rhodes, Zayn; Sigman, Matt; Pancoast, Adam (University of Utah)
Faculty Advisor: Minteer, Shelley (University of Utah College of Science, Chemisty)

In the effort to improve renewable energy as a response to the depletion of fossil fuels, one important aspect to consider is the availability of such sources. The supply of solar and wind power, for example, faces issues with intermittency. Therefore, it is crucial to develop reliable energy storage methods, with redox flow batteries (RFBs) being of particular interest given their potential low cost and high efficiency. RFBs operate similarly to conventional batteries, except the anode and cathode materials are dissolved in electrolyte solutions, and pumped into the electrochemical cell from external storage tanks. Within the cell, the anode and cathode species are separated by a membrane to prevent them from mixing, which would cause the battery to self-discharge. RFBs can utilize aqueous- or organic-based electrolyte solutions, with organic solvents being especially appealing, as the electrochemical potential window is larger than water. However, one major impediment of using organic solvent is the high chemical crossover rate of anode and cathode species through the membrane, causing rapid capacity fade of the battery. Several research studies have shown that the use of redox active polymers (RAPs) with high molecular weights, paired with a size-exclusion membrane effectively counteracts this problem. The resulting steric hindrance between the small pores of the membrane and these large molecules blocks any crossover from the active species. This study will include the construction of an RFB using two previously developed RAPs demonstrated to have high electrochemical cycling stability as electrolytes. By using RAPs as both anode and cathode materials, it is expected that chemical crossover will be minimized, and the lifetime of the battery will be elongated compared to an RFB with one or both species in monomeric form. This study will be significant in the advancement of RFBs, potentially leading to their widespread use for energy storage.
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Surface Brightness Fluctuation Distances to Galaxies Using Elliptical and Circular Masks

December 30, 0020 12:00 AM
Phan, Anh; Jensen, Joseph (Utah Valley University)
Faculty Advisor: Jensen, Joseph (Utah Valley University, Physics)

We have measured the Surface Brightness Fluctuation (SBF) distances to 12 galaxies. SBF is usually used to measure distances to giant elliptical galaxies that have uniform ages and composition. On the other hand, galaxies that are more disk-shaped potentially have a range of ages, they may have an SBF and color gradient. Elliptical masks that match the shapes of disk galaxies can give a more accurate SBF and color gradient than circular masks. The purpose of this study is to measure the discrepancies between the SBF distances using the two types of masks. For giant elliptical galaxies, the two methods give similar results ($\leq$ 2\%). For disk galaxies, the discrepancies are bigger (up to 6\% difference).
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Deep learning for image segmentation

December 30, 0020 12:00 AM
Jenkins, Abigail; Baugh, Makinnon; Frandsen, Paul; White, Alexander; Dikow, Rebecca (Brigham Young University)
Faculty Advisor: Frandsen, Paul (Life Sciences, Plant and Wildlife Sciences)

Historically, physical plant specimens have been preserved and mounted on paper sheets and stored in plant collections, or herbaria. Herbarium collections are used for a wide variety of research purposes, including plant taxonomy, ecology, and evolutionary biology. The process of digitizing the herbarium sheets is simple and involves taking high resolution photos of each sheet and recording the corresponding metadata and attributes of the particular sample. Digitized herbarium sheets can be useful for a variety of purposes, and, by making images freely available online, they become immediately accessible to the scientific community, facilitating remote analysis. In addition, in a digital format, the images become computable and usable for purposes such as training deep learning models for classification or analysis of morphology.

While the process of digitizing is simple, herbarium sheets contain other features not directly representative of the plant, such as annotations, labels, museum stamps, color palettes, and rulers. There are additional inconsistencies in the herbarium sheets that are introduced through staining, record keeping, and natural degradation. Taken together, this information can contribute a substantial amount of noise if one is to use the image for downstream research analysis concerning the pattern, shape, or color of the specimen. We have developed a pipeline to filter this extraneous information, using image segmentation (whereby the specimen material is partitioned from the background) and deep learning.

We present this pipeline for generating training data for image segmentation tasks along with a novel dataset of highly resolved image masks segmenting plant material from background noise. We used this dataset to train a neural network to segment plant material in herbarium sheets more generally, and our method is applicable to other museum data sources where masking may be useful for quantitative analysis of patterns and shapes.
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Development of a New Molecular Predictor for Risk of Melanoma Brain Metastases

December 30, 0020 12:00 AM
Stehn, Christopher; Colman, Howard; Boucher, Kenneth; Grossman, Allie H; Holmen, Sheri L (University of Utah)
Faculty Advisor: Holmen, Sheri (University of Utah, Surgery)

Despite therapeutic advances in the treatment of melanoma, development of brain metastases continues to be a major cause of treatment failure. Prognosis for patients with brain metastases is exceedingly poor, therefore the development of sensitive and specific biomarkers to predict which melanoma patients are at highest risk for disease progression are needed. To accomplish this goal, we developed a novel combined molecular/clinical/pathologic predictor of brain metastasis risk. We first analyzed multiple gene expression datasets including The Cancer Genome Atlas (TCGA; n = 437) and an independent series from the European Genome-Phenome Archive (n = 183) and identified a list of 60 consensus genes that is robustly predictive of development of melanoma brain metastases (p < 0.05; FDR 5%). Next, we performed a similar analysis of association of miRNAs and melanoma brain metastasis risk which identified a set of miRNAs with significant predictive power. An optimized combined set of 15 mRNA and miRNA markers was a better predictor of brain metastasis risk than either mRNA or miRNA list alone when applied to the TCGA data set. The combined predictor was most sensitive in separating patients with no metastases from those with either brain metastases or systemic metastases. Current efforts are focused on optimizing miRNA and mRNA separation of patients specifically with brain metastases from those with other metastases using a machine learning linear classifier, and with integrating the expression classifier with other clinical and pathologic predictive factors including: age, stage, thickness, location, histology, ulceration, and gender. The sensitivity and specificity of the resulting clinical/molecular predictor will be validated in an independent retrospective patient dataset, and subsequently implemented in a prospective brain metastasis screening trial to determine real-world utility of this approach in preparation for prospective brain metastasis adjuvant/chemoprevention trials utilizing both immunotherapy and targeted therapy approaches.
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Effect of Mercury Chloride and Methyl Mercury

December 30, 0020 12:00 AM
Villanueva,Xitlalli; Berthelemy Nicole (Weber State University)
Faculty Advisor: Berthelemy, Nicole (Weber State University, Zoology)

Introduction: Mercury, originating from mining and industrial activity, has been accumulating in the Great Salt Lake water and has contaminated its food web. Some of the mercury chloride (HgCl) is transformed by benthic bacteria to the more toxic monomethyl mercury (MeHg). While the effect of HgCl on the brine shrimp Artemia franciscana has been described, little is known about the effects of MeHG on this shrimp, except that it is more toxic. We correlated the tissue mercury concentrations to the amount of mercury present in the sea-water (SW). We also tested the ability of the shrimp to depurate mercury accumulated in the tissues.
Results: - Adult Artemia survived at least one week when exposed to concentrations ranging from 10-9 to 10-5g/L HgCl or MeHg. Shrimp exposed to 10-4g/L HgCl or MeHg died within two days.
Fertility was influenced by mercury exposure. The number of offspring per brood produced by females exposed to 10-6g/L or less HgCl was around 150, significantly higher than the average 80 offspring per brood produced by females exposed to 10-6g/L MeHg. When exposed to 10-5g/l HgCl and MeHg, the females brood size was 47 and 24, respectively.
- Artemia is able to maintain low level of tissue mercury, up to exposure to 10-6g/L HgCl and 10-7 g/L for MeHg. Exposure to higher mercury concentrations leads to much higher mercury levels, about 35 ppm HgCl for SW reaching 10-5g/L and 300 ppm with exposure to 10-4 MeHg.
Discussion: While both HgCl and MeHg are lethal to the shrimp, after a few days exposure, at concentration higher than 10-6 g/L, MeHg has a stronger effect on fertility, with brood size near half the size. Also, MeHg, the organic form of mercury, is accumulated in much higher level than the inorganic form. The organic form has a better ability to cross cell membranes. Since the mercury levels in the Great Salt Lake reach 55 ng/L (= 0.055 10-6g/L) and 30 ng/L (0.03 10-6 g/L) for HgCl and MeHG, respectively, the brine shrimp population is likely not affected by this pollutant.
Conclusion: Mercury has a strong effect on Artemia metabolism. We will study, next, the shrimp response to the oxidative stress induced by the mercury exposure.
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Effects of Exercise on Subjective Feelings of Vitality: A Randomized Crossover Study

December 30, 0020 12:00 AM
Stevens, Andrew; Hicks, Joseph; Savage, Ryland; Bailey, Bruce (Brigham Young University)
Faculty Advisor: Bailey, Bruce (Life Sciences, Exercise Science)

Purpose: This study examined the effect that differing exercise intensities have on subjective ratings of vitality both immediately following the condition and after 60 minutes of intense cognitive testing.
Methods: These findings come as a secondary analysis of a larger randomized crossover study that examined the effects of differing exercise intensities on cognitive performance. We recruited 228 men and women in roughly equal numbers to participate in the study. Each participant reported to the study lab four times one week apart. During the first day the participants ran a VO2 max test to establish pacing and baseline values. During the next three visits the participant completed a subjective vitality questionnaire before exercise, after 40 minutes of exercise or watching a video, and after 60 minutes of cognitive testing. The exercise conditions of vigorous (70% VO2 Max), moderate (35% VO2 Max) and sedentary activity (watching a video) were randomly assigned each week.
Results: The vitality rating before exercise was not significantly different between the three conditions with a mean rating of 19.9 ± 8.6 cm. After the sedentary condition, subjective ratings of vitality decreased from 19.9 cm to 12.5 cm after the condition and increased to 15.0 cm after the cognitive testing, remaining below pre-exercise values. After the moderate exercise condition, vitality did not change significantly after exercise (20.2 cm to 21.0 cm) but was lower following the cognitive tasks (15.9 cm). Vitality was slightly elevated following the vigorous exercise condition (19.8 cm to 21.3 cm) but went down after the cognitive tasks (17.1 cm). Vitality ratings did not differ significantly between exercise conditions at any time. The sedentary condition was lower than both exercise conditions after the 40-min intervention (p<0.001) and was lower than the vigorous exercise condition after the cognitive tasks (p<0.001).
Conclusion: Sedentary tasks may reduce subjective feelings of energy and vitality and this subjective evaluation remains suppressed after a period of cognitive exertion. Feelings of vitality and energy remain similar before and after exercise (vigorous or moderate) but then reduce after cognitive exertion. Vigorous exercise may be slightly beneficial for subjective feeling of vitality after exercise and following extended cognitive exertion.
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Ecology of Male Mating in Alfaro cultratus: Is morphology a response to the environment?

December 30, 0020 12:00 AM
Mueller, Kaeli; Kaitlyn, Golden; Johnson, J.B. (Brigham Young University)
Faculty Advisor: Johnson, Jerry (Brigham Young University, College of Life Sciences);

Human-induced changes to the environment are causing declines in many of the world's species. Studying model organisms, such as Poeciilidae fishes, can provide crucial information about a variety of other species (Johnson & Bagley, 2011). Alfaro, a monophyletic genus within the family Poeciilidae (Bagley & Johnson, 2014), has the potential to become an exemplary model species. There is currently much scientific knowledge about the two distinct reproductive tactics of Poeciliid males. However, studies about the presence of this trait are lacking for Alfaro. Therefore, I propose adding to the current knowledge about Alfaro cultratus by researching the presence of two distinct sets of traits that accompany different male reproductive tactics. The hypothesis is that male Alfaro will show similar physical characteristics to other Poeciliids, but that these traits will not differ across varying habitats. Measurements of deceased Alfaro specimens will be analyzed to identify differences in physical traits. This will be followed by a live experiment, in which the male size differential is expected to mirror that of the deceased specimens. This research will produce novel information about Alfaro cultratus because its life history strategies have yet to be described. Many intriguing evolution questions could follow.

References:

Bagley, J. C., & Johnson, J. B. (2014). Testing for shared biogeographic history in the lower Central American freshwater fish assemblage using comparative phylogeography: Concerted, independent, or multiple evolutionary responses? Ecology and Evolution, 4(9), 1686—1705.

Johnson, J. B., & Bagley, J. C. (2011). Ecology and Evolution of Poeciliid Fishes, Chapter 4, Ecological drivers of life-history divergence.
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Comparative anatomy and connectivity of the Aii amacrine cell in mouse and rabbit retina

December 30, 0020 12:00 AM
Sigulinsky, Crystal; Anderson, James; Emrich, Daniel; Rapp, Christopher; Dahal, Jeebika; Pfeiffer, Rebecca; Rapp, Kevin; Yang, Jia-Hui; Watt, Carl; Marc, Robert; Jones, Bryan (University of Utah)
Faculty Advisor: Jones, Bryan (University of Utah, Ophthalmology/Visual Sciences)

Purpose: Mouse retina differs structurally from rabbit retina, as it is thicker and vascular, while rabbit retina is thinner and avascular. The implications of these differences on neuronal morphology and connectivity is unclear. We compare the morphology and connectivity of the Aii amacrine cell (AC) at ultrastructural precision in connectomes of mouse (RC2) and rabbit (RC1) retina.

Methods: RC1 and RC2 are 0.25 mm diameter volumes built by automated transmission electron microscopy at 2 nm/pixel resolution. RC1 is from a 13 month old, female Dutch Belted rabbit. RC2 is from a 5 month old female C57BL/6J mouse. The Viking application was used to annotate Aii ACs.

Results: Mouse Aii ACs are elongated with a prominent neck region. Lobular appendages in both species extend from the soma, neck and proximal arboreal dendrites in the OFF sublamina, forming reciprocal synapses with OFF cone bipolar cells (BCs). In rabbits, multiple arboreal dendrites emerge from the base of the neck, branch and travel obliquely through the ON sublamina, forming gap junctions with ON cone BCs, neighboring Aii ACs, and itself. They extend laterally at the base of the IPL, collecting ribbon input from rod BCs. In contrast, mouse arboreal dendrites branch from a single primary dendrite, travel vertically through the IPL with limited self-interaction, and terminate at variable depths that align with the more broadly ramified axon terminals of mouse rod BCs. Synaptology reveals greater output in the OFF vs ON layer in mouse versus rabbit. Uniquely, descending axons of mouse ON cone BCs form gap junctions with Aii AC somas.

Conclusions: Lateral expansion of rabbit Aii ACs may be attributable to eccentricity. However, morphological differences correlate with connectivity differences. Comparative anatomy connectomics is essential for understanding implications of retinal structure on neuronal morphology and connectivity underlying network differences between the mouse and rabbit.
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Does phylogenetic relatedness influence response to heterospecific alarm cues in Brachyrhaphis rhabdophora?

December 30, 0020 12:00 AM
Chou, Audrey; Duffy, Alexandra; Johnson, Jerald (Brigham Young University)
Faculty Advisor: Johnson, Jerald (Brigham Young University, Biology)

Upon injury, fish release chemicals that cause fear and a dramatic change in behavior in nearby members of the species. Chemical alarm cues are released from injured epidermal tissue and provide an early warning signal for individuals to detect the presence of an active predator, and potentially increase the chances of individual survival. This research project investigates the conservation of alarm cue recognition and response across species boundaries by measuring the behavioral response of Brachyrhaphis rhabdophora to the alarm cues from five different species. Since these species will be of known phylogenetic relatedness, we will determine conservation of alarm cue response as a function of phylogenetic distance. I will also discuss the method of quantifying behavioral response through the use of a two-choice flume tank to measure both changes in activity and spatial avoidance upon alarm cue exposure.
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Effects of Mycorrhizal Associations on Tomato Defensive Compounds

December 30, 0020 12:00 AM
Jones, Dalton (Weber State University)
Faculty Advisor: Schramm, Katharina (Science, Botany)

Tomatoes (Solanum lycopersicum) are an important agricultural crop around the world. In order to produce food with less impact on the environment, many researchers are looking to utilize natural systems to maximize production with minimal inputs. Maximizing tomato defenses is one possible way to increase productivity. Tomatoes produce both physical and chemical defenses in response to the stress. Increasing the number of trichomes on the plant is a physical means of deterring insects from eating the plant. Trichomes come in two forms glandular trichomes and non-glandular trichomes. The non-glandular trichomes are strictly a physical defense while the glandular trichomes produce chemical defensive compounds against a wide variety of insects. Most land plants can form a symbiosis with arbuscular mycorrhizal fungi (AMF). This symbiosis has been shown to increase nutrient supply, decrease drought stress, and prime plant defenses, all increasing a plant's ability to withstand herbivory stress better. This study examines the response of trichomes and the number of chemical defenses after insect herbivory has occurred with the additional support of the AMF symbiosis. Treatments were exposed to Manduca sexta to stimulate trichome and chemical production. The extracted leaves were analyzed via gas chromatography to examine the make-up of the tomato's chemical defenses. The growth rates of M. sexta were recorded to examine the effects of tomato's chemical defenses after feeding the insects the induced tomato leaves. Measuring trichome density quantifies the change in physical defenses. The addition of the AMF increased the plant defenses, both the number of trichomes present on the plants and the quantity of the chemical defenses. Insects feeding on plants with increased defenses were also shown to have decreased growth. This study shows an alternative strategy for the use of commercial pesticides, lessening the impact of tomato crops on the ecosystem.
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Cocoa Epicatechin Metabolites' affect on β Cell Proliferation and Cell Cycle

December 30, 0020 12:00 AM
Ross, Mimi; Tessem, Jeffery; Orton, Emily; Ekpo, Idongesit; Beales, Joseph (Brigham Young University)
Faculty Advisor: Tessem, Jeffery (Life Sciences; Nutrition, Dietetics, & Food Science)

In 2015 there were over 30 million Americans with diabetes and over 84 million Americans ages 18 and older had pre-diabetes. With diabetes being the seventh leading cause of death in the United States and becoming more prevalent the race is on to find a cure. One of the main problems with this disease is the decrease in functional β-cell mass. β-cells produce insulin to maintain blood glucose levels at healthy levels. Thus, if we can increase β-cell proliferation we are one step closer to curing diabetes. Cocoa epicatechins have been shown to be beneficial in blocking diabetes progression. Studies have shown that oligomeric and polymeric cocoa epicatechin extracts improve diabetes onset in a mouse model of Type 2 diabetes. We have demonstrated that the oligomeric fraction of cocoa epicatechins enhances β-cell proliferation in an in vitro model. Absorption studies have shown that while the oligomeric and polymeric forms are not readily absorbed in the gut, they are metabolized by gut bacteria and that these metabolites can be observed in circulation. Using flow cytometry we have studied how these phytochemicals: epicatechin, 5-phenylvaleric acid, Homovanilic acid, and Hippuric acid. Here we present the data regarding the effect of microbial cocoa flavanol metabolites on β-cell cell cycle during proliferation.
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