rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Overcoming Clonal Interference in Escherichia coli Using Genderless High Frequency Recombination Strains
  name:
    name part: Winkler, James Daniel
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Kao, Katy
    role:
      role term: thesis advisor.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Adaptive laboratory evolution (ALE) is a powerful tool for strain improvement, and has been applied successfully to improve a range of desirable phenotypes in model organisms through continuous cultivation under a selective pressure of interest. Despite its demonstrable utility, one limiting factor for the effectiveness of ALE is competition between beneficial mutants that exist contemporaneously within an evolving population. This phenomenon of clonal interference arises from the fact that the majority of microbes are obligate asexual organisms that cannot exchange DNA between cells. Mutants that arise must therefore compete for resources until the fittest mutant drives the others to extinction. The resulting loss of genetic information from the population slows the overall rate of adaptation, and decreases the amount of information that can be extracted from a given ALE experiment. To overcome these limitations, we have developed a novel in situ mating system based on the F plasmid to allow continuous DNA exchange between E. coli cells in liquid culture, allowing mutants to potentially combine their mutations into a single genetic background. The utility and limitations of an existing recombination method, genome shuffling, are also explored to demonstrate the advantages of this new method. The design and initial testing of the in situ mating system is first validated, and the system is used for a subsequent evolution experiment under osmotic stress to validate the industrial applicability of the mating system. Adaptive mutants generated in the course of these experiments are then used to test whether tolerant mutants can be formed via conjugation. Finally, additional side projects focusing on strain or population characterization tools are discussed, followed by recommendations for future work. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/152625
  note: by James Daniel Winkler.
  note: "Major Subject: Chemical Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A & M University 2014 http://hdl.handle.net/1969.1/152625
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Chemical Engineering
  subject:
    topic: Evolutionary engineering
  subject:
    topic: Conjugation
  subject:
    topic: Evolution
  subject:
    topic: Machine learning
  subject:
    topic: Osmotic tolerance
  subject:
    topic: Antibiotic resistance
  subject:
    topic: Lactobacillus
  identifier: http://hdl.handle.net/1969.1/152625
  record info:
    record content source: TXA
    record creation date: 150210
    record change date: 20151206125806.0
    record identifier: in00003498545
    language of cataloging:
      language term: eng