SYNERGIZING GENETIC ENGINEERING AND EVOLUTIONARY BIOLOGY: ANIMAL-BASED LINEAGE TRACKING TO STUDY ADAPTIVE MUTATIONS

Simple item page
dc.contributor.advisorPhillips, Patrick
dc.contributor.authorStevenson, Zachary
dc.date.accessioned2024-03-25T17:33:37Z
dc.date.available2024-03-25T17:33:37Z
dc.date.issued2024-03-25
dc.description.abstractThe fitness effects of new mutations are one of the central drivers of evolutionary change. Mutation is the ultimate source of novel genetic diversity, yet only a small fraction of new mutations provides an adaptive advantage. Additionally, many new adaptive mutations provide only a slight advantage and are challenging to identify and quantify their selection coefficient. Furthermore, a given mutation may be advantageous in one environment and disadvantageous in another environment. Natural selection acts upon the phenotype produced by the new mutation and if adaptive, the mutation can increase in frequency. Evolution acts though the lineage–the fundamental unit of evolution–because it is the lineage which changes overtime in response to selection. Over the past 150 years a robust and comprehensive set of theory has been developed around evolutionary biology and adaptive mutations. However, comprehensive estimation of the fitness effects of new mutations has remained challenging, but recent developments in genetic engineering open new opportunities to significantly advance the field. Within this dissertation, I present several novel approaches for editing the genome using a large genomic library, which allows the implementation of barcoding approach for evolutionary lineage tracking in an animal system for the first time. I apply this methodology to measure the fitness of a known Ivermectin resistant strain of Caenorhabditis elegans in what is the largest animal experimental evolution to date and highlight important new directions in evolution and genomics that this new approach allows.en_US
dc.identifier.urihttps://hdl.handle.net/1794/29289
dc.language.isoen_US
dc.publisherUniversity of Oregon
dc.rightsAll Rights Reserved.
dc.subjectCRISPRen_US
dc.subjectEvolutionen_US
dc.subjectGeneticsen_US
dc.subjectHigh-throughputen_US
dc.subjectSyntheticen_US
dc.subjectTARDISen_US
dc.titleSYNERGIZING GENETIC ENGINEERING AND EVOLUTIONARY BIOLOGY: ANIMAL-BASED LINEAGE TRACKING TO STUDY ADAPTIVE MUTATIONS
dc.typeElectronic Thesis or Dissertation
thesis.degree.disciplineDepartment of Biology
thesis.degree.grantorUniversity of Oregon
thesis.degree.leveldoctoral
thesis.degree.namePh.D.

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Stevenson_oregon_0171A_13757.pdf
Size:
9.72 MB
Format:
Adobe Portable Document Format
Download

Collections

Theses and Dissertations
Biology Theses and Dissertations