Kristina Frogoso, a student from the University of Arkansas at Little Rock, worked with Dr. Scott Connelly to examine the threat of a fungal pathogen to amphibian populations.
Abstract: Biodiversity loss is occurring in substantial rates, and more specifically we are seeing major amphibian declines due to infectious diseases. One infectious disease in particular is chytridiomycosis which is caused by a fungal pathogen called Batrachocytrium dendrobatidis (Bd). In order to predict future amphibian die-offs and prevent population decline using conservation methods, it is necessary to understand environmental variables and natural history traits in relation to Bd. The question is what variables are significant predictors of die-offs? A multiple linear regression (logit) was generated on RStudio to model the relationship first between environmental variables and then with added natural life history traits as the explanatory variables and threat status as the response variable. The threat status for species that had unknown threat status was predicted with 77% accuracy. Also, breeding site showed the most significant in predicting threat status of amphibian species, p < 0.5. The results show that species living in more permanent bodies of water tend to be more threatened that species that live in ephemeral sites. In conclusion, more information for other amphibian species and more thorough integration of trait data are needed to better predict population decline.
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Jasmine Gipson, from Kennesaw State University, worked with Dr. Kelly Dyer in the UGA Genetics department to study the transmission of Wolbachia, a parasite of insects.
Abstract: Wolbachia is an endosymbiont parasite that lives in the reproductive system 70% of all insects. It is passed down vertically to its offspring from the mother. Wolbachia occurs naturally in D. recens, but not D. subquinaria. In the wild, D. recens and D. subquinaria hybridize and about 2-3% of those hybrid offsprings contain a D. recenâ’s mitochondria, but not the wolbachia. This is a strange situation because the mitochondria is only passed down through the mother’s eggs, just like wolbachia. So how is it possible to have a D. recenâ’s mitochondria, but not the wolbachia as well? This peculiar scenario led to the question, is the transmission rate of wolbachia lower in hybrids compared to pure species? To answer this question, a D. recens female was crossed with a D. subquinaria. The F1 hybrid female was then backcrossed to a D. subquinaria male. The F1 and F2 generations were both test for wolbachia using PCR. The transmission rate for the F1 generation had a transmission rate of 100% and the F2 generation had a transmission rate of 95.7%. This shows that the transmission rate of wolbachia is lowered in hybrid species compared to pure species. Possible explanations for this decrease in transmission rate is because of the genetic variation between D. recens and D. subquinaria or the parasite could have been randomly loss due to oogenesis.
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Nicole Solano, a student at Agnes Scott College, worked with Dr. John Drake to model factors that could influence the risk of Chikungunya virus in the United States.
Abstract: Chikungunya virus (CHIKV) is an arbovirus endemic to Africa and South and East Asia, that is transmitted to humans by the bite of an infected mosquito, primarily Aedes aegypti or Aedes albopictus. Since its identification in Tanzania in 1952, CHIKV has spread around the globe, making itself a very prevalent infectious disease. To date (20 June 2015) there have been eleven reported cases of autochthonous transmission in the U.S. (in Florida). Since its introduction into the Americas, concerns have been raised about which areas in the United States are most vulnerable to importation of CHIKV. We examined the correlation between human West Nile Virus (WNV) cases and human Meningitis and Encephalitis cases. A strong correlation was observed (p-value < 2.2-16) informing us that Meningitis and Encephalitis is a good predictor of WNV infection. Given this, we wanted to know which socio-economic covariates were important to consider when thinking about exposure to a disease. A regression analysis helped us identify age and poverty level as the most important covariates. Presence of Aedes albopictus and relative exposure per county was mapped to depict which counties are most vulnerable for onward Chikungunya virus transmission.
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Timothy Wildauer, a student from Bethany Lutheran College, worked with Dr. John Drake to test new methods of determining time of infection for Ebola patients.
Abstract: Data recorded during the 2014-2015 West Africa Ebola Outbreak indicates when patients presented themselves at a hospital for treatment. However, to know if interventions were successful, we need to know when patients became infected. The number of people who became infected on a given date is corrupted by the incubation period for us to see when patients begin showing symptoms. The current method for finding when people became infected is to shift the dates on the observed data set backwards by the average infection period. We developed two non-parametric filters to find when patients became infected with Ebola: multiple trials of randomly selecting incubation periods for patients, and a Ridge Regression. These methods were tested on simulated outbreaks of different difficulties to see which method worked best. We selected four interventions during the outbreak to see if there was an effect on the transmissibility of the disease. In Sierra Leone, the transmission rate dropped significantly after the country was shut down for three days in September 2014. After other events, the transmission changed significantly, but the change may be the natural course of the outbreak. Through testing we found that Random deconvolution achieves a high correlation with the infection curve.
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Evans Lodge, a student from Calvin College, worked with Dr. John Drake to measure how human behaviors change during disease outbreaks.
Abstract: In outbreaks of emerging infectious disease, public health interventions aim at increasing the speed with which infected individuals are removed from the susceptible population, limiting opportunities for secondary infection. Isolation, hospitalization, and barrier-nursing practices are crucial for controlling disease spread in these contexts. Ebola virus disease (EVD), Severe Acute Respiratory Syndrome (SARS), and Middle East Respiratory Syndrome (MERS) are all zoonotic infections that have caused significant international outbreaks in the past. Here, we use patient-level data from the 2014-2015 Liberian Ebola epidemic, 2003 Hong Kong SARS epidemic, 2014 Saudi Arabia MERS outbreaks, and 2015 South Korea MERS outbreak to quantify changing removal rates, burial practices, contact tracing, and other measures of protective behavior change. Using the removal rate, Î³, as a measure of protective behavior change allows direct comparison of health behavior development in different outbreaks and locations. Robust regression analysis and analyses of covariance are used to estimate the rate at which Î³ increases in each outbreak by epidemic week and serial interval. Measured interactions between models show that mean removal rates varied within a factor of three, falling between the 2003 Hong Kong SARS outbreak and the 2014-2015 Ebola epidemic in Liberia.
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Lexi Calderon, a student from the University of Redlands, worked with Dr. Andy Davis and members of his lab to study parasites affect wound-healing in bess beetles.
Abstract: By definition, parasites depend on the resources of their host to survive. This relationship can result in a decrease of energy and fitness for the host. The parasitic nematode Chondronema passali resides in the hemocoel cavity of the bess beetle, Odontotaenius disjunctus. Although this parasite is non-lethal, a single beetle can harbor thousands of nematodes. Previous research has demonstrated this parasite affects the stress reaction of beetles, but very little research has investigated the effect parasites have on the host’s ability to heal a wound. Wound healing can be thought of as an indicator of the effectiveness of the immune system and by studying healing we can infer the effect this parasite has on the fitness of its host. We conducted a series of experiments where beetles were wounded with a dremel rotary drill and observed every hour for 12 hours after initial wounding. Each hour beetles were given a value from 1-5 to measure their status in the wound healing process, and values were summed to generate a ‘wound healing score’ for each beetle. Beetles were killed and dissected following the experiment to define gender and parasite abundance. Out of 188 beetles, 83% were infected with C.passali. Wound healing scores were not significantly predicted by parasite status. Beetle weight was a predictor of wound healing scores where heavier beetles had higher scores. Oxygen consumption was also measured in a subset of beetles after wounding, and we found parasitized beetles tended to have higher respiration (10% higher) than non-infected beetles.
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Taylor McClanahan, a student at the University of Arkansas at Little Rock, worked with Dr. Courtney Murdock and members of her lab to examine how microclimate affects mosquitoes.
Abstract: Aedes albopictus, (Asian tiger mosquito), has successfully colonized in several countries in North and South America. Ae. albopictus is a highly efficient vector, capable of transmitting at least 27 different arboviruses, and is contributing to the global expansion of both dengue and Chikungunya. However, whether or not dengue or Chikungunya will emerge in a given area will depend on its interaction with local mosquito populations and local environmental conditions. The aim of this study was to characterize variation in local climate conditions and how this variation impacts Ae. albopictus traits important for transmission. An impervious surface map of Athens-Clarke County was used to select three urban, suburban, and rural sites (30m2). Six pots were placed (>10 m apart) at each site in full shade, filled with 200 ml leaf infusion, seeded with 30 Ae. albopictus larvae, and paired with a data logger on the inside and outside of the pot. All pots were checked daily for emerging adults, and any adults present were counted and removed. Urban sites were characterized by the following: warmer daily mean and minimum temperatures, decreased daily diurnal temperature variation, earlier adult emergence, and lower numbers of emerging adults relative to suburban and rural sites. Further, weather station temperature data were not necessarily a good predictor of mosquito microclimate across the three land uses. This cautions against the use of downscaled global climate patterns in predicting how vector-borne diseases may respond to current and future climate change. Ultimately, we see that microclimate data generates a more precise representation of the environments these mosquitoes inhabit.
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Anna Schneider, a student from the University of Wisconsin-Stevens Point, worked with mentors Dr. Sonia Altizer, Dr. Richard Hall, and Ania Majewska to look at how butterfly behavior affects parasite transmission.
Abstract: Altered behavior of an infected host can have important consequences for pathogen transmission. Pathogens can cause the host to increase foraging behavior and decrease activity levels due to increased energetic demands, which can significantly change the spread of the pathogen. Monarchs can suffer from a debilitating protozoan parasite, Ophryocystis elektroscirrha (OE), which is transmitted when infected adults inadvertently shed spores on milkweed (Asclepias spp.) leaves that are subsequently consumed by the caterpillars. While infected adults are known to experience reduced flight ability and survival, less is known about how infection influences milkweed visitation behavior and, therefore, spore deposition. Here, we investigated whether infection status altered activity budgets of wild adult Monarchs, particularly visitation rates to milkweed for foraging or oviposition. Behavioral observations and milkweed visitation rates of adult Monarchs, both infected and uninfected, were collected in the butterfly gardens at the Wormsloe Historic Site in Savannah, GA. Our results concluded that sex, not infection status, showed significance in variation of behavior.Â Milkweed visitation rates were higher than previously thought and these are critical for parasite persistence. These data provide the first field estimates of parasite spore deposition rates in monarchs. We modified an existing differential equation model of monarch-OE dynamics to include adults contaminated with OE spores through mating and milkweed visitation. According to this model, late-season OE prevalence varied between 16.5 and 78.6%. This is consistent with the wide range of OE prevalence recorded in US monarchs (6-20% in the Midwest, up to 100% in tropical milkweed patches in the Southeast).
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Sydney Barosko, a student from Michigan State University, worked in the lab of Dr. Travis Glenn to examine pathogen diversity in local lone star ticks.
Abstract: In the world of infectious diseases, ticks play an important role as a vector in transmitting pathogens to humans, companion animals, livestock, and wildlife. Amblyomma americanum (Lone Star ticks) are known to transmit the pathogens that cause ehrlichiosis, babesiosis, Q fever, and rickettsial diseases. Few studies have been done on the pathogen diversity of Lone Star tick individuals. We used microbial 16S amplification followed by Illumina sequencing of the 16S amplicons to characterize microbial communities in A. americanum collected near Athens, GA. We examined differences in 16S sequences: 1) when two different Taq DNA polymerases were used for amplification (one with high fidelity and the other with more tolerance for low-quality samples and primer mismatches) and, 2) between 19 male and 18 female A. americanum ticks. We focused on three genera of microbes with known pathogenic strains:Â Coxiella, Rickettsia, and Ehrlichia. We did not find any significant differences between the communities when amplified with the different Taq DNA polymerases nor in the infection rate of males vs. females infected with Ehrlichia or Rickettsia. Male vs. female infection rates did, however, differ for Coxiella. The proportion of Coxiella in the microbiome was much higher in females than in males. Our work demonstrates that 16S microbiome sequencing can be an effective tool in characterizing pathogens in ticks and builds a foundation for larger-scale surveys in the future.
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Taylor Joseph, a student from Michigan State University, worked with Dr. Andreas Handel to use computational methods to examine new tuberculosis treatment regimes.
Abstract: Tuberculosis (TB) remains one of the world’s most deadly diseases, as current treatment protocols are far outdated and often ineffective. Furthermore, current regimens are complicated and last many months, often leading to patient non-compliance and drug resistant bacteria. There is thus a need for more effective and efficient treatment strategies, yet conducting human trials on these new strategies is expensive and time consuming. As an alternative or supplement to human and animal trials, computational models may be used to predict the outcomes of new treatment strategies. In this study, we use a system of differential equations to describe within-host dynamics of TB and drug treatment, and we assess the model’s accuracy in comparison to data collected from previous clinical studies. We then use the model to predict and evaluate the outcome of new treatment regimens.
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Annakate Schatz, a student from Mount Holyoke College, worked with Dr. Andrew Kramer to test the accuracy of models used to predict pathogen spread.
Abstract: Species distribution models (SDMs) are commonly used to predict the total possible area a species can occupy. These models, however, rely on an assumption of equilibrium with the environment. When we discover of a new disease or pathogen, it has not necessarily reached equilibrium, but one of the most urgent questions is where else it might spread. This project sought to answer where a pathogen will spread in the future with a model selection case study focused on time-sensitive predictive ability. Previous research on how well SDMs predict disease spread has worked either with a single model-fitting method or with a simulated disease (Vaclavik and Meentemeyer 2012, Patel unpublished). We extend such investigations by modeling a real disease, Batrachochytrium dendrobatidis, using multiple methods trained on time subsets of the available occurrence data. We split our data into training and testing sets, and evaluated models on each set by calculating the AUC, kappa, True Skill Statistic, and false negative rate. We found that Maximum Entropy performed best on the subsetted data, followed by boosted regression trees and randomForest methods. Predictions tended to improve with more training data, although all AUC scores dropped when the last subset was added in. From this project, we gain a better sense of how quickly we can determine the potential extent of an emerging disease.
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Sofia Bertoloni Meli, a student from Indiana University, worked with Dr. Michael Strand and Kerri Coon to studied the microbial community found in the gut of mosquitoes.
Abstract: Insects host many essential microbial symbionts. The bacteria in mosquito guts are important for development, nutrient acquisition, and reproduction. Developing mosquito larvae acquire their gut bacterial community (microbiota) from the aquatic environment they live in. However, little is known about the factors influencing the abundance of specific community members in the larval gut. Here, we investigated the contribution of host factors in shaping mosquito gut microbiota. We used experimental studies to manipulate the community present in the environment of individual and cohabitating mosquito species. Quantitative analysis of community structure in mosquito larvae identified species-specific bacterial associations that were robust to changes in the environment. Overall, our results indicate that both environmental and host factors affect bacterial community structure in mosquitoes, and reveal the potential importance of incorporating host phylogenetic history into our understanding of gut microbial diversity.
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Richard Williams, a student from Morehouse College, worked with Dr. John Drake to develop a model examining the effectiveness of low-sensitivity interventions in disease outbreaks.
Abstract: We conducted a theoretical study to investigate the effect of low sensitivity interventions on the containment of an emerging pathogen. Low sensitivity interventions such as thermal scans for febrile patients in airports are outbreak interventions that may yield many false negatives, and are implemented because of their political or logistical feasibility. The first step of our study was to derive a discrete-time SEIR model for transmission at a given site and develop computer code to implement the associated stochastic simulation algorithm. We next developed a simulation program to link multiple sites updated as in the first step, incorporating pairwise movement probabilities between sites (which may be randomly constructed or data-driven) and an intervention that prohibits movement based on low sensitivity diagnostic (thermal scans) with tunable sensitivity and specificity. For reporting, this code also tracks the number of uninfected persons incorrectly denied permission to travel. In future work, this software will be used to compare the effectiveness of low-sensitivity interventions applied to pathogens with a range of incubation periods.
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Zain Aryanpour, a student at the University of Alabama, worked with Dr. Jeb Byers and Carrie Keogh to examine the cost of infection on immune response of an invasive crab species.
Abstract: Invasive species often show phenotypic distinctions in relation to their native-range species. A topic of current interest in populations of invasive species is their immune systems and functions, and whether costs of immune function are altered given the differences in selective pressures they experience in the invasive range. In our study, an invasive Asian shore crab species, Hemigrapsus sanguineus, was utilized as the model system for investigating the short-term energy demand in response to microparasite challenge, the potential relationship between supposed immune stimulation and bacterial killing ability, and the potential relationship between bacterial killing ability and respiration rate. For experimental variables, we utilized LPS injections as the microparasite challenge, optimized a bacterial killing assay to measure immune strength, and used a Qubit Respirometer to measure oxygen consumption for pre- and post-injection crabs. We then ran ANCOVA analyses on bacterial killing and oxygen consumption data and analyzed the relationships between data. The data suggests that microparasite challenge had no effect on energy expenditure in LPS crabs but PBS-injected control crabs showed significantly higher oxygen consumption than LPS crabs after injection. The challenge had little to no effect on bacterial killing ability on either experimental or control crabs. And finally, there is no significant relationship between bacterial killing ability and respiration rate. The results could either be explained by experimental errors in LPS injections (insufficient concentration of LPS, although 0.25 mg/mL was sufficient in previous studies) or the potential explanation that microparasite challenges are not costly on these crabs. A further comprehensive study with a combination of micro- and macroparasite challenges plus additional replicates would most likely give a clearer overview of the immune response and function in this wild population. Further experiments comparing native and invasive parasite response would also improve this study.
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Alexandra Wickson, a student at the University of Georgia, worked with Dr. Michael Yabsley and others in his lab to determine parasite prevalence in vulture populations.
Abstract: Avian haemosporidian blood parasites are widespread among many families of birds and, in some species, can cause avian malaria. In previous studies on blood parasites of vultures, prevalence and diversity of parasites were low. However, the long-term effects of infection on the birds were unknown. Overall, Turkey Vultures (Cathartes aura) have had a higher prevalence and diversity of blood parasites (i.e., Haemoproteus, Plasmodium, and Leucocytozoon spp.) compared with Black Vultures (Coragyps atratus) with only a single Plasmodium sp. infection has been reported in one Black Vulture from Florida. Based on morphological data, Haemoproteus catharti was described from the Turkey Vulture. The primary goal of this study was to better characterize H. catharti with morphologic and molecular data and to investigate ecological or intrinsic factors associated with infection. Turkey Vultures and Black Vultures were sampled at the Savannah River Site in Aiken, SC. Blood smears were immediately prepared, fixed with methanol, and stained with modified Giemsa. Parasite prevalence and parasitemia were determined by examination of at least 20,000 erythrocytes. We also conducted nested polymerase chain reaction (PCR) targeting the cytochrome b gene. We detected a high prevalence of parasites in Turkey Vultures (43%) and a complete absence of parasites in Black Vultures. No difference in prevalence or parasitemia levels were noted between sites, sexes, or age class. Phylogenetically, this parasite was most similar to a parasite reported from wood storks (Mycteria americana) from Florida. Together, these two sequences were distinct from the genera Haemoproteus and Plasmodium, and likely represent a new genus of avian blood parasite. This study documents the first genetic characterization of malarial parasites of vultures. Further genetic work targeting multiple genes is needed to confirm the phylogenetic relationship of this parasite to other avian haemosporidians.
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