Abstract 12: "Survivorship of Columbian Black Tail deer harvested in a predator free environment". Elise Greene, Megan Popielak, and Olivia Stewart. Advised by Dr. Eric Long, Dept. of Biology. We determined the survivorship of hunter-killed Columbian Black-Tailed deer (Odocoileus hemionus columbianus) on Blakely Island, a predator-free environment in the San Juan Archipelago, Washington, USA. We compared this with the survivorship of naturally-killed deer on the island to determine if hunters are fulfilling the same role as natural processes. The first molar from the jaw of each deer was extracted, processed, and the cementum rings were counted to determine the age of death.
Abstract 13: "Survivorship of natural death black tailed deer (Odocoileus hemionus columbianus) on Blakely Island, Washington". Ashley Goss and Felicity Young. Advised by Dr. Eric Long and Dr. Cara Wall-Scheffler, Dept. of Biology. Age-specific survivorship of a high-density population of black-tailed deer that live on predator-free Blakely Island was analyzed. Age at death for naturally killed deer was estimated by removing the first lower molar of each specimen and counting cementum rings. We constructed a survivorship profile of deer on Blakely Island and compared survivorship of males to females, as well as comparing deer survivorship on Blakey Island to deer survivorship on the mainland.
Abstract 14: "Using DNA sequencing to determine salmon species mislabeling rate across Seattle grocery stores". Kayla Case, Asmaa Al-awadi, Elizabeth Delgado. Our research project involved determining if salmon samples across different grocery stores in Seattle were properly labeled. To determine this for each sample, the DNA was isolated, amplified by PCR, sequenced, and compared against known sequences of salmon species in the BLAST database. Of the 8 samples we isolated, 1 was mislabeled. Overall class data showed 13.4% of salmon samples were mislabeled, emphasizing the importance of accurate labeling and consumer awareness in the grocery industry.
Abstract 15: "A Problem with Salmon Mislabeling in Seattle Grocery Stores?" Madelyn Rice, Weston Hanson, and Yolanda Mendoza. This study took a deep dive into the world of salmon mislabeling focusing on Seattle grocery stores. To identify if our samples were mislabeled, we underwent the following procedure: DNA isolation, PCR, and finally BLASTed our results to see percentage matches. The results revealed that 15.5% of the wild (Pacific) and farmed (Atlantic) salmon samples were mislabeled. Our study underscores the urgent need for enhanced traceability measures and regulatory oversight to combat salmon mislabeling effectively.
Abstract 16: "Determining the rate of salmon mislabeling in grocery stores in Seattle". Nguyen Nguyen, Sara Dean, and Alexander Heller. This study examines the rate of salmon mislabeling from chain and local grocery stores in the Seattle area. Methods include DNA isolation, whole genome amplification by PCR, DNA sequencing, and DNA analysis through the BLAST website. Four out of nine samples were mislabeled. Additionally, total class results showed an overall 13.4% mislabeled salmon samples rate, which was a low percentage of mislabeling. It's still concerning that mislabeling isn’t uncommon for salmon to be mislabeled.
Abstract 17: "Are Grocery Stores Lying to You? A Pacific Salmon Mislabeling Project". Madison Knoke and Abby Dean. In this genetics research project we collected samples of salmon from Seattle grocery stores. We used various methods to purify the DNA, including isolation, quantification, and PCR. The DNA was sent to a Fred Hutch to be analyzed and we input the DNA sequences into the BLAST database to identify mislabeling rates. Our results showed 0 out of 6 of our personal samples were mislabeled and 13.4% of our Genetics class samples were mislabeled overall.
Abstract 18: "Methotrexate as an antiviral drug treatment against MHV-68 in an in vitro model". Keton Johnson and Yenni Gaspar. Murine herpesvirus 68 (MHV-68) serves as a model for studying the Epstein-Barr virus (EBV) and Kaposi’s sarcoma virus (KSHV). Previous research revealed that MHV-68 relies on glucose, glutamine, and lipogenesis metabolic pathways. We quantitatively analyzed the FDA-approved nucleotide biosynthesis inhibitor Methotrexate (MX). The drug safety concentration of MX was first determined by conducting two kill curves. After completing 3 trials of MX treatment, plaque assays showed MX was a potent antiviral drug.
Abstract 19: "Implications of Metformin dosage on MHV-68 viral production". Anton Milan Brkic and Jewel Garcia. Murine gammaherpesvirus 68 (MHV-68) is genetically similar to human herpesvirus strains are known to cause cancer. Metformin is an FDA approved drug used to treat diabetes by inhibiting 2 pathways that are also important for MHV-68 replication: glycolysis and lipogenesis. Using kill curve trials to find a safe level of drug and viral plaquing techniques, our research aims to see if virus production from MHV-68 infected NIH3T3 cells decreases in the presence of various metformin doses.
Abstract 20: “Assessing the Antiviral Activity of Metformin”. Sara Dean and Jonathan Dean. Murine herpesvirus 68 (MHV-68) serves as model system to understand how herpesviruses cause cancer. This study investigated the effects of metformin to inhibit the viral replication of MHV-68 in NIH3T3 cells by targeting lipid and glucose metabolism. Two kill curve methods determined safe and effective MET concentrations and plaque assays were used to quantify viral titers. Results showed limited antiviral activity of MET, suggesting decreased efficacy as an antiviral drug.
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Abstract 21: "Utilizing Selective Whole Genome Amplification (SWGA) to enrich clinical samples of Mycoplasma genitalium for genetic sequencing". Ethan Wood, Ashley Goss, Abbie Dill, and Marjolene Allossogbe. Mycoplasma genitalium (Mg) is a sexually transmitted bacterium that causes nongonococcal urethritis and endometritis. Current methods of culturing Mg clinical samples are time-consuming and require Vero co- culture up to a year before samples may be sequenced to assess for mutations linked to doxycycline resistance. This presentation showcases how SWGA can enrich Mg DNA in Vero co-cultures, reducing processing time and expanding sequence coverage, allowing for the identification of doxycycline-resistant mutations.
Abstract 22: "Sequencing of Mycoplasma genitalium (Mg) from Paired Urine and Vero Clinical Samples using Selective Whole Genome Amplification (SWGA)". Mariama Conteh, Lay Paw, Akira Copeland, and Savannah Meyer. Mycoplasma genitalium (Mg) is a sexually transmitted bacterium that can cause reproductive inflammatory diseases. Growing Mg from a patient’s urine in Vero co-culture currently takes six months, limiting its clinical value. Using SWGA, we were able to amplify Mg DNA in both urine samples and Vero co-culture for use in long read MinIon sequencing. Direct sequencing from urine allows clinically relevant genome wide analyses in days rather than months.