The advent of high-throughput DNA and RNA sequencing has made possible the assay of millions of nucleic acid molecules in parallel. This allows functional genomic elements to be identified from background in single-tube experiments. This dissertation discusses the development of two such functional screens as well as work implementing a third that was previously developed in my thesis laboratory.
Restriction-Associated DNA sequencing (RAD-Seq) is a complexity reduction sequencing method that allows the same subset of genomic sequence to be read across multiple samples. Differences in sample collection and data analysis allow manifold applications of RAD-Seq. Here we use RAD-Seq to identify mutant genes responsible for altered phenotypes in Caenorhabditis elegans and to identify hyper-invasive alleles in trout population admixtures.
Apart from acquiring genomic sequence data, massively-parallel sequencing can be used for counting applications that quantify activity across a large number of test molecules. This dissertation describes the development of a technique for simultaneously quantifying the activity of a restriction enzyme across all possible DNA substrates by linking digest of a sequenced genome to Illumina-sequencing in an unbiased fashion. Finally, a powerful approach to analyze transcriptional activation is described. This method quantifies output from millions of potential DNA transcriptional enhancers via RNA amplicon sequencing of covalently-linked randomer tags and is used in conjunction with RNA-Seq to provide a mechanistic view of hypoxic gene regulation in Drosophila.
This dissertation includes previously published, co-authored material
Identifer | oai:union.ndltd.org:uoregon.edu/oai:scholarsbank.uoregon.edu:1794/19234 |
Date | 18 August 2015 |
Creators | Kamps-Hughes, Nicholas |
Contributors | Bowerman, Bruce |
Publisher | University of Oregon |
Source Sets | University of Oregon |
Language | en_US |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Rights | All Rights Reserved. |
Page generated in 0.0021 seconds