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dc.contributor.advisorXu, Sen
dc.creatorNeupane, Swatantra
dc.date.accessioned2022-01-25T18:22:24Z
dc.date.available2022-01-25T18:22:24Z
dc.date.created2021-12
dc.date.issued2021-12-20
dc.date.submittedDecember 2021
dc.identifier.urihttp://hdl.handle.net/10106/30217
dc.description.abstractWe know very little about the determining genetic factors that control the recombination events within a genome. Moreover, the cause of recombination rate variation in population-level remains poorly understood, especially in non-mammalian species. The scarcity of population-level recombination rate data makes pinpointing genetic loci responsible for recombination rate variation even more challenging. Due to a lack of population-level recombination data, this hypothesis remains untested mainly in natural systems, like Daphnia. In response to the limitation of genetic tools used to dissect the genetic determinant of a trait in Daphnia, we put an effort to address these shortcomings in the Daphnia research. We started the exploration by first showing strong support for the adaptive divergence of meiotic recombination rate between two incipient sister species of Daphnia, D. pulicaria and D. pulex. Then, we explored optimizing two genetic tools that are crucial in population genetics. First, we fine-tuned and meticulously established a technique to develop an efficient biallelic and heritable gene-editing technique in D. pulex using CRISPR-Cas9. Further, we implemented different modifications to explore developing an inexpensive multiplexing protocol by re-engineering the whole genome amplification method before multiplex library preparation.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectDaphnia
dc.subjectRecombination rate variation
dc.subjectCRISPR/Cas9
dc.subjectGene-editing
dc.subjectWhole Genome Amplification
dc.subjectIndexed WGA
dc.titleDEVELOPMENT OF NEW TECHNIQUES TO DISSECT THE GENETIC BASIS OF POPULATION-LEVEL VARIATION OF RECOMBINATION RATES IN THE DAPHNIA MODEL SYSTEM
dc.typeThesis
dc.degree.departmentBiology
dc.degree.nameDoctor of Philosophy in Quantative Biology
dc.date.updated2022-01-25T18:22:25Z
thesis.degree.departmentBiology
thesis.degree.grantorThe University of Texas at Arlington
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy in Quantitative Biology
dc.type.materialtext


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