Matching Items (113)
Description
Scorpions are predatory arachnids that are among the most ancient terrestrial invertebrates. They are typically found residing in desert and riparian environments. Viruses associated with scorpions have been explored in the past, unveiling partial RNA virus sequences and polyomaviruses, but more research in this area is necessary. Cycloviruses are non-enveloped viruses with circular single-stranded DNA genomes (~1.7 to 1.9 kb). Cycloviruses were initially identified in mammals and have now been detected in samples from a wide range of mammalian and insect species. Polyomaviruses are double-stranded DNA viruses (~4 to 7 kb). They are known for causing tumors in the host it infects, and have previously been identified in a diverse array of organisms, including scorpions. The objective for this study was to identify known and novel viruses in scorpions. Using high-throughput sequencing and traditional molecular techniques we determine the genome sequences of cycloviruses and polyomaviruses. Sixteen of the forty-three scorpion samples were positive for eight different species of cycloviruses. According to ICTV guidelines, seven of the eight species were novel cycloviruses which were found in bark scorpions, stripe-tailed scorpions, yellow ground scorpions, and giant hairy scorpions (Centruroides sculpturatus, Paravaejovis spinigerus, Paravaejovis confusus & Hadrurus arizonensis) from Maricopa, Pinal, and Pima county in Arizona, USA. Additionally, one previously known cyclovirus species was recovered in bark scorpions (Centruroides sculpturatus) in Pima county which had previously been documented in guano from a Mexican free-tailed bat in Arizona. There were ten scorpions out of forty-three for which we recovered polyomavirus scorpion samples that grouped into four different polyomavirus species. Polyomaviruses were only identified in bark scorpions (Centruroides sculpturatus) from Maricopa, Pinal, and Pima county. Of the polyomavirus genomes recovered three belong to previously identified scorpion polyomavirus 1 and five to scorpion polyomavirus 3, and two represent two new species named scorpion polyomavirus 4 and scorpion polyomavirus 5. The implications of the discovery of cycloviruses and polyomaviruses from this study contributes to our understanding of viral diversity associated with Scorpions.
ContributorsNeil, Julia (Author) / Gomez, Magali (Co-author) / Varsani, Arvind (Thesis director) / Kraberger, Simona (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Politics and Global Studies (Contributor)
Created2024-05
Description
Glioblastoma Multiforme is a prevalent and aggressive brain tumor. It has an average 5-year survival rate of 6% and average survival time of 14 months. Using patient-specific MRI data from the Barrow Neurological Institute, this thesis investigates the impact of parameter manipulation on reaction-diffusion models for predicting and simulating glioblastoma growth. The study aims to explore key factors influencing tumor morphology and to contribute to enhancing prediction techniques for treatment.
ContributorsShayegan, Tara (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor)
Created2024-05
Description
Precise modulation of gene expression is essential for proper tissue and cell-specific differentiation and function. Multiple distinct post-transcriptional regulatory mechanisms, such as miRNA (microRNA)-based regulation and alternative polyadenylation (APA), are an intrinsic part of this modulation and orchestrate intricate pathways to achieve and maintain balanced gene expression.MiRNA-based regulation and APA function through sequence motifs located in the 3’ Untranslated Region (3’UTR) of mRNA transcripts. MiRNAs are short (~22 nt) non-coding RNA molecules that bind target sequences within the 3’UTR of an mRNA transcript, inhibiting its translation or promoting its degradation. APA occurs during RNA transcription termination and leads to the preparation of mature mRNAs with different 3’UTR lengths, allowing shorter 3’UTRs to bypass miRNA regulation.
In addition to these two post-transcriptional forms of regulation, co-transcriptional mechanisms such as alternative RNA splicing, which produces distinct gene products from a precursor mRNA, are also important in controlling gene expression.
While miRNA-based regulation, APA, and alternative RNA splicing are important regulatory mechanisms, there is a lack of comprehensive understanding of how they interact and communicate with each other. This thesis studies these three forms of gene regulation in the nematode C. elegans, with the goal of extracting rules and mechanisms used by each of them in development to establish and maintain somatic tissue identity.
After isolating miRNA targets in multiple C. elegans somatic tissues, it was found that miRNAs can modulate the abundance of hnRNPs and SR proteins, which are known to control alternative RNA splicing in a dosage-dependent manner.To identify tissue-specific miRNAs, a nuclear fluorescent cell sorting (FACS)-based methodology named Nuc-Seq, was developed to isolate and sequence tissue-specific miRNAs from body muscle tissue. Nuc-Seq identified 2,848 muscle-specific protein-coding genes and 16 body muscle-specific miRNAs. This data was used to develop a high-quality body muscle-specific miRNA-APA Interactome which allows studies in regulatory processes in detail.
Taken together, this work highlights some of the complexity of pre- and post-transcriptional gene regulation and sheds light on how miRNA-based regulation, APA, and alternative RNA splicing are interconnected and are responsible for the establishment and maintenance of tissue identity.
ContributorsSchorr, Anna L (Author) / Mangone, Marco (Thesis advisor) / Harris, Robin (Committee member) / Sharma, Shalini (Committee member) / Varsani, Arvind (Committee member) / Arizona State University (Publisher)
Created2023
Description
Despite the prevalence of coyotes (Canis latrans) little is known about the viruses associated with this species. To assess the extent of viral research that has been conducted on coyotes, a literature review was performed. Over the last six decades, there have been many viruses that have been identified infecting coyotes. The pathology of some cases implies that infection is rare and lethal while others have been demonstrated to be endemic to coyotes. In addition, the majority of the prior analyses were done through serological assays that were limited to investigating target viruses. To help expand what is known about coyote-virus dynamics, viral assays were conducted on coyote scat. The samples were collected as part of transects established along the Salt River near Phoenix, Arizona, United States (USA). The recovered viral genomes were clustered with other deoxynucleic acid (DNA) viruses and analyzed to determine phylogeny and genetic identity. From the recovered viral genomes, there are two novel circoviruses, one novel naryavirus, five unclassified cressdnaviruses, and two previously identified species of anelloviruses from the Wawtorquevirus genus. For these viruses, new phylogenies for their groups and pairwise identity plots have been generated. These figures give insight into the potential hosts and the evolutionary history. In the case of the anelloviruses, they likely derived from a wood rat (Neotoma) host, given the anellovirus family’s host specificity and its similarity to another viral genome derived from a wood rat in Arizona, USA. Of the recovered circovirus genomes, one is associated with a viral isolate collected from a dust sample in Arizona, USA. The second circovirus species identified is within a clade that consists of rodent associated circoviruses and canine circovirus. Other recovered genomes expand clusters of unclassified cressdnaviruses. The recovered genomes support further genomic analysis. These findings help support the notion that there is a wealth of viral information to be identified from animals like coyotes. By understanding the viruses that coyotes are associated with, it is possible to better understand the viral impact on the urban environment, domesticated animals, and wildlife in general.
ContributorsHess, Savage Cree (Author) / Varsani, Arvind (Thesis advisor) / Kraberger, Simona (Committee member) / Upham, Nathan S (Committee member) / Arizona State University (Publisher)
Created2023
Description
Alpha herpesviruses are a family of neuroinvasive viruses that infect multiplevertebrate species. Alpha herpesviruses are responsible for human and livestock infections, most notably Herpes Simplex Virus (HSV), Varicella Zoster virus (VZV), and Pseudorabies Virus (PRV). PRV is a potent swine virus that can infect other mammals, and results in lethal encephalitis that can be devastating to livestock and of great financial expense to farmers. HSV, types 1 and 2, and VZV are widespread throughout the global human population, with estimates of the HSV-1 burden at about 60% of people worldwide. The hallmark of alpha herpesvirus infection is a persistent, lifelong infection that can reactivate throughout the lifespan of the host. Currently, the precise mechanisms of how these viruses undergo intracellular trafficking to emerge from the infected cell in epithelial tissues is not well understood. Many insights have been made with PRV in animal neurons, both in culture systems and animal models, about the viral genes and host factors involved in these processes. However, understanding of these mechanisms, and the interplay between viral and host proteins, in the human pathogen HSV-1 is even more lacking. Using recombinant fluorescent virus strains of HSV-1 and Total Internal Reflection Microscopy to image the transport of mature viral progeny in epithelial cells, it was determined that the egress of HSV-1 uses constitutive cellular secretory pathways. Specifically, the viral progeny traffic from the trans-Golgi network to the site of exocytosis at the plasma membrane via Rab6a secretory vesicles. This work will contribute to the understanding of how alpha herpesviruses complete their lifecycles in host cells, particularly at the sites where infection initially occurs and can spread to a new organism. Knowledge of these processes may lead to the development of therapeutics or prophylactics to reduce the burden of these viruses.
ContributorsBergeman, Melissa Hope (Author) / Hogue, Ian B (Thesis advisor) / Hogue, Brenda (Committee member) / Roberson, Robert (Committee member) / Varsani, Arvind (Committee member) / Arizona State University (Publisher)
Created2023
DescriptionA
ContributorsLund, Michael (Author) / Varsani, Arvind (Thesis advisor) / Upham, Nathan (Committee member) / Harris, Robin (Committee member) / Arizona State University (Publisher)
Created2023
Description
A description of numerical and analytical work pertaining to models that describe the growth and progression of glioblastoma multiforme (GBM), an aggressive form of primary brain cancer. Two reaction-diffusion models are used: the Fisher-Kolmogorov-Petrovsky-Piskunov equation and a 2-population model that divides the tumor into actively proliferating and quiescent (or necrotic) cells. The numerical portion of this work (chapter 2) focuses on simulating GBM expansion in patients undergoing treatment for recurrence of tumor following initial surgery. The models are simulated on 3-dimensional brain geometries derived from magnetic resonance imaging (MRI) scans provided by the Barrow Neurological Institute. The study consists of 17 clinical time intervals across 10 patients that have been followed in detail, each of whom shows significant progression of tumor over a period of 1 to 3 months on sequential follow up scans. A Taguchi sampling design is implemented to estimate the variability of the predicted tumors to using 144 different choices of model parameters. In 9 cases, model parameters can be identified such that the simulated tumor contains at least 40 percent of the volume of the observed tumor. In the analytical portion of the paper (chapters 3 and 4), a positively invariant region for our 2-population model is identified. Then, a rigorous derivation of the critical patch size associated with the model is performed. The critical patch (KISS) size is the minimum habitat size needed for a population to survive in a region. Habitats larger than the critical patch size allow a population to persist, while smaller habitats lead to extinction. The critical patch size of the 2-population model is consistent with that of the Fisher-Kolmogorov-Petrovsky-Piskunov equation, one of the first reaction-diffusion models proposed for GBM. The critical patch size may indicate that GBM tumors have a minimum size depending on the location in the brain. A theoretical relationship between the size of a GBM tumor at steady-state and its maximum cell density is also derived, which has potential applications for patient-specific parameter estimation based on magnetic resonance imaging data.
ContributorsHarris, Duane C. (Author) / Kuang, Yang (Thesis advisor) / Kostelich, Eric J. (Thesis advisor) / Preul, Mark C. (Committee member) / Crook, Sharon (Committee member) / Gardner, Carl (Committee member) / Arizona State University (Publisher)
Created2023
Description
The human gut microbiome is associated with health outcomes including gastrointestinal and metabolic health, autoimmune disease and cancer. However, the role of the microbiome in many disease processes, including in the preterm gastrointestinal tract and female genital tract, has yet to be defined. Further, the diverse community of viruses within the microbiome (the virome) is understudied compared to bacteria. Here, I examine the microbiome and virome in specific disease models that are poorly understood: necrotizing enterocolitis (NEC), discordant HIV shedding in women living with HIV (WHLIV), female genital tract inflammation and gammaherpesvirus infection. Specifically, I examined the gut virome longitudinally in a cohort of preterm infants at risk for NEC; the female genital tract (FGT) microbiome and virome longitudinally in a cohort of WLHIV from Lima, Peru; the FGT virome in women from Phoenix, Arizona with differing levels of genital inflammation and different microbiome compositions; and the gut microbiome in murine gammaherpesvirus 68 (MHV68) infection. Further, I contributed to research responding to the spread of SARS-CoV-2 in Arizona. I found that 1) gut virome beta diversity decreased before NEC onset in preterm infants, suggesting a role for the virome in NEC; 2) FGT microbiome instability was associated with discordant HIV shedding, while FGT virome composition changed in association with ART duration and immune recovery; 3) FGT virome composition was associated with inflammation and microbiome composition; and 4) MHV68 infection outcomes were independent of microbiome perturbation, which may reflect environmental influences. The results of this research advance understanding of the microbiome and virome in these specific disease processes, and support further investigation of the microbiome and virome in preterm infant gastrointestinal health and FGT health, as well as environmental effects in microbiome research.
ContributorsKaelin, Emily (Author) / Lim, Efrem (Thesis advisor) / Varsani, Arvind (Committee member) / Jacobs, Bertram (Committee member) / McFadden, Grant (Committee member) / Rahman, Masmudur (Committee member) / Arizona State University (Publisher)
Created2024
Description
The most advanced social insects, the eusocial insects, form often large societies in which there is reproductive division of labor, queens and workers, have overlapping generations, and cooperative brood care where daughter workers remain in the nest with their queen mother and care for their siblings. The eusocial insects are composed of representative species of bees and wasps, and all species of ants and termites. Much is known about their organizational structure, but remains to be discovered.
The success of social insects is dependent upon cooperative behavior and adaptive strategies shaped by natural selection that respond to internal or external conditions. The objective of my research was to investigate specific mechanisms that have helped shaped the structure of division of labor observed in social insect colonies, including age polyethism and nutrition, and phenomena known to increase colony survival such as egg cannibalism. I developed various Ordinary Differential Equation (ODE) models in which I applied dynamical, bifurcation, and sensitivity analysis to carefully study and visualize biological outcomes in social organisms to answer questions regarding the conditions under which a colony can survive. First, I investigated how the population and evolutionary dynamics of egg cannibalism and division of labor can promote colony survival. I then introduced a model of social conflict behavior to study the inclusion of different response functions that explore the benefits of cannibalistic behavior and how it contributes to age polyethism, the change in behavior of workers as they age, and its biological relevance. Finally, I introduced a model to investigate the importance of pollen nutritional status in a honeybee colony, how it affects population growth and influences division of labor within the worker caste. My results first reveal that both cannibalism and division of labor are adaptive strategies that increase the size of the worker population, and therefore, the persistence of the colony. I show the importance of food collection, consumption, and processing rates to promote good colony nutrition leading to the coexistence of brood and adult workers. Lastly, I show how taking into account seasonality for pollen collection improves the prediction of long term consequences.
The success of social insects is dependent upon cooperative behavior and adaptive strategies shaped by natural selection that respond to internal or external conditions. The objective of my research was to investigate specific mechanisms that have helped shaped the structure of division of labor observed in social insect colonies, including age polyethism and nutrition, and phenomena known to increase colony survival such as egg cannibalism. I developed various Ordinary Differential Equation (ODE) models in which I applied dynamical, bifurcation, and sensitivity analysis to carefully study and visualize biological outcomes in social organisms to answer questions regarding the conditions under which a colony can survive. First, I investigated how the population and evolutionary dynamics of egg cannibalism and division of labor can promote colony survival. I then introduced a model of social conflict behavior to study the inclusion of different response functions that explore the benefits of cannibalistic behavior and how it contributes to age polyethism, the change in behavior of workers as they age, and its biological relevance. Finally, I introduced a model to investigate the importance of pollen nutritional status in a honeybee colony, how it affects population growth and influences division of labor within the worker caste. My results first reveal that both cannibalism and division of labor are adaptive strategies that increase the size of the worker population, and therefore, the persistence of the colony. I show the importance of food collection, consumption, and processing rates to promote good colony nutrition leading to the coexistence of brood and adult workers. Lastly, I show how taking into account seasonality for pollen collection improves the prediction of long term consequences.
ContributorsRodríguez Messan, Marisabel (Author) / Kang, Yun (Thesis advisor) / Castillo-Chavez, Carlos (Thesis advisor) / Kuang, Yang (Committee member) / Page Jr., Robert E (Committee member) / Gardner, Carl (Committee member) / Arizona State University (Publisher)
Created2018
Description
The role of climate change, as measured in terms of changes in the climatology of geophysical variables (such as temperature and rainfall), on the global distribution and burden of vector-borne diseases (VBDs) remains a subject of considerable debate. This dissertation attempts to contribute to this debate via the use of mathematical (compartmental) modeling and statistical data analysis. In particular, the objective is to find suitable values and/or ranges of the climate variables considered (typically temperature and rainfall) for maximum vector abundance and consequently, maximum transmission intensity of the disease(s) they cause.
Motivated by the fact that understanding the dynamics of disease vector is crucial to understanding the transmission and control of the VBDs they cause, a novel weather-driven deterministic model for the population biology of the mosquito is formulated and rigorously analyzed. Numerical simulations, using relevant weather and entomological data for Anopheles mosquito (the vector for malaria), show that maximum mosquito abundance occurs when temperature and rainfall values lie in the range [20-25]C and [105-115] mm, respectively.
The Anopheles mosquito ecology model is extended to incorporate human dynamics. The resulting weather-driven malaria transmission model, which includes many of the key aspects of malaria (such as disease transmission by asymptomatically-infectious humans, and enhanced malaria immunity due to repeated exposure), was rigorously analyzed. The model which also incorporates the effect of diurnal temperature range (DTR) on malaria transmission dynamics shows that increasing DTR shifts the peak temperature value for malaria transmission from 29C (when DTR is 0C) to about 25C (when DTR is 15C).
Finally, the malaria model is adapted and used to study the transmission dynamics of chikungunya, dengue and Zika, three diseases co-circulating in the Americas caused by the same vector (Aedes aegypti). The resulting model, which is fitted using data from Mexico, is used to assess a few hypotheses (such as those associated with the possible impact the newly-released dengue vaccine will have on Zika) and the impact of variability in climate variables on the dynamics of the three diseases. Suitable temperature and rainfall ranges for the maximum transmission intensity of the three diseases are obtained.
Motivated by the fact that understanding the dynamics of disease vector is crucial to understanding the transmission and control of the VBDs they cause, a novel weather-driven deterministic model for the population biology of the mosquito is formulated and rigorously analyzed. Numerical simulations, using relevant weather and entomological data for Anopheles mosquito (the vector for malaria), show that maximum mosquito abundance occurs when temperature and rainfall values lie in the range [20-25]C and [105-115] mm, respectively.
The Anopheles mosquito ecology model is extended to incorporate human dynamics. The resulting weather-driven malaria transmission model, which includes many of the key aspects of malaria (such as disease transmission by asymptomatically-infectious humans, and enhanced malaria immunity due to repeated exposure), was rigorously analyzed. The model which also incorporates the effect of diurnal temperature range (DTR) on malaria transmission dynamics shows that increasing DTR shifts the peak temperature value for malaria transmission from 29C (when DTR is 0C) to about 25C (when DTR is 15C).
Finally, the malaria model is adapted and used to study the transmission dynamics of chikungunya, dengue and Zika, three diseases co-circulating in the Americas caused by the same vector (Aedes aegypti). The resulting model, which is fitted using data from Mexico, is used to assess a few hypotheses (such as those associated with the possible impact the newly-released dengue vaccine will have on Zika) and the impact of variability in climate variables on the dynamics of the three diseases. Suitable temperature and rainfall ranges for the maximum transmission intensity of the three diseases are obtained.
ContributorsOkuneye, Kamaldeen O (Author) / Gumel, Abba B (Thesis advisor) / Kuang, Yang (Committee member) / Smith, Hal (Committee member) / Thieme, Horst (Committee member) / Nagy, John (Committee member) / Arizona State University (Publisher)
Created2018