Surveillance Enhancing Strategies for the Mitigation of Emerging Cattle Parasite Theileria orientalis Ikeda

dc.contributor.authorBurgess, Catharine Eliseen
dc.contributor.committeechairLahmers, Kevin K.en
dc.contributor.committeememberWeger, James Daviden
dc.contributor.committeememberKehn-Hall, Kylene Wesleyen
dc.contributor.committeememberRamirez Barrios, Roger Antonioen
dc.contributor.committeememberHungerford, Laura L.en
dc.contributor.departmentGraduate Schoolen
dc.date.accessioned2025-06-03T08:05:26Zen
dc.date.available2025-06-03T08:05:26Zen
dc.date.issued2025-06-02en
dc.description.abstractThe most virulent genotype of Theileria orientalis, Ikeda, has been spreading through the Eastern and Midwestern United States since its initial detection in Virginia in 2017. Facilitated by its invasive Longhorned tick vector, spread of Ikeda to naïve regions of North America has been characterized by costly clinical outbreaks of Bovine Infectious Anemia, with severe cases resulting in abortion, stillbirth, and death, with still more production costs incurred due to lowered dairy and beef production in surviving animals. As such, Ikeda represent an enormous economic threat to the cattle industry in North America. In the absence of any vaccine or FDA-approved treatment and the infeasibility of vector control, surveillance testing to avoid introducing the parasite to naïve stock is the only mitigation strategy currently available. Expansion of surveillance testing through sample pooling previously infeasible as the high incidence of asymptomatic infection makes prevalence difficult to anticipate with enough confidence to optimize pooling approaches, which can become costly with high misestimation of prevalence. This work demonstrated that the addition of a subsampling test to estimate prevalence within a surveillance submission was sufficient to allow for economical pooling as well as avoid high costs when prevalence exceeded the pooling threshold (32%) when compared to conventional pooling of simulated T. orientalis surveillance herds. Additionally, the resulting prevalence estimation testing (PET) method was shown to be applicable to other surveillance pathogen through Monte Carlo Simulation, with the reduction in test savings not being statistically significantly different from simulated pooling with the true optimal pool size for both bovine viral diarrhea virus, and SARS-CoV-2 (p > 0.05). While PET pooling resulted in additional processing time in most scenarios, it was shown through Discrete Event Simulation to reduce processing time when laboratory capacity was at its minimum and sample intake was high. Otherwise, the primary advantage of PET in other surveillance programs was shown to be reduction in test count through improved optimization, and resource conservation. Further expansion of surveillance with serological methods was also shown in this work to be a feasible option, as 20 recombinantly expressed surface/secreted were shown to be seropositive (OD ratio > 2) across multiple infection types (Chitose, acute Ikeda, and persistent Ikeda). Additionally, 7 antigens showed variable degrees of seropositivity between infection type suggesting there may antigenic diversity between strain and/or infection stage that could allow serological diagnostics that differentiate between strain/infection stage, both of which have major clinical implications. The present work demonstrates the ability to enhance Ikeda mitigation through surveillance by maximizing the effectiveness of currently available rtPCR testing through pooling, as well as the potential to fill currently unmet surveillance needs with improved serological detection.en
dc.description.abstractgeneralTheileria orientalis Ikeda is a blood parasite that causes severe anemia and death in cattle. Surviving cattle also experience lower production of milk, as well as beef as they do not gain as well, making Ikeda a major economic threat to the cattle industry in the United States. It is spread rapidly by invasive ticks, and infects animals for life, so cows moved into other herds can expose them if the tick is present, causing severe clinical outbreaks. Without any treatment, vaccine, or effective way to reduce ticks, the best strategy to address Ikeda is to identify regions where it is present to avoid moving animals with no immunity there where they may experience clinical disease. However this strategy, surveillance testing, requires an enormous amount of laboratory tests, and typical methods to reduce the test burden, called sample pooling, are difficult to use with Ikeda because it is often unclear how many animals may test positive, which is necessary to determine how many samples to combine into "pools". In this work, we developed a method to better anticipate sample positivity by testing a small portion of a herd's samples. This method allows us to now pool effectively and enhance our ability to do surveillance testing. It is however, very different from other ways laboratories use sample pooling, and has some trade-offs in taking longer to finish testing. Therefore, it was necessary to define when it should be used more broadly. Through computer simulations of surveillance testing of other pathogens, we showed that our method is able to reduce the number of tests needed as well as if the pool size had been perfectly anticipated. However, it did take longer to complete testing, with the exception of when laboratories are at their lowest possible capacity and have to test a lot of samples- in this case it was faster than if labs chose not to pool. However, there are still some drawbacks to current surveillance testing where we cannot tell from our results what stage of infection an animal is in, and we have to perform a second test to determine if it is Ikeda or another type of T. orientalis that is not as costly. These drawbacks could be made up for with another type of test if we knew what proteins a cow's antibodies interact with that are unique to Ikeda. Currently we do not know of any such proteins, so to further develop a needed second type of surveillance we identified some candidate proteins by sequencing samples to determine what proteins they were in the process of making, and then testing those proteins against antibodies from cows with different types of T. orientalis infections. Our results showed 20 segments of proteins matched with cow antibodies from at least one type of infection, and 7 showed matching that differed between infection types, which suggests thy may be promising candidates improve a needed second type of surveillance. All together, these results showed that surveillance for Ikeda can be greatly enhanced through optimized sample pooling which was not previously possible, as well as the potential to develop other testing types with the proteins we identified.en
dc.description.degreeDoctor of Philosophyen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:43567en
dc.identifier.urihttps://hdl.handle.net/10919/134997en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject: surveillanceen
dc.subjectIkedaen
dc.subjectinfectious anemiaen
dc.subjectpooling optimizationen
dc.subjectserological detectionen
dc.titleSurveillance Enhancing Strategies for the Mitigation of Emerging Cattle Parasite Theileria orientalis Ikedaen
dc.typeDissertationen
thesis.degree.disciplineTranslational Biology, Medicine and Healthen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.nameDoctor of Philosophyen

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