Leveraging High Throughput Sequencing For Fine Fescue (Festuca Spp.) Breeding And Genetics
2020-03
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Leveraging High Throughput Sequencing For Fine Fescue (Festuca Spp.) Breeding And Genetics
Authors
Published Date
2020-03
Publisher
Type
Thesis or Dissertation
Abstract
Fine fescues (Festuca L., Poaceae) are turfgrass species that perform well in low-input environments. Improvement of these grass species through breeding and genetics have been limited due to the difficulty of species identification and lack of genomic resources. The objectives of this dissertation were to develop an improved method for fine fescue species identification, generate the first reference transcriptome for hard fescue, and use the reference transcriptome for transcriptome studies. In my first project, I used flow cytometry, chloroplast genome sequencing, and molecular marker development to provide new fine fescue identification methodology. Next, I used flow cytometry to characterize ploidy level in the USDA F. ovina collection. My third project used PacBio Isoform sequencing to develop the reference transcriptome using four tissue types for hard fescue; by using a phylotranscriptomic approach, the reference transcriptome provided information of the allopolyploid origin of the hexaploid species. Finally, the reference transcriptome was used to study how hard fescue responded to propiconazole fungicide application; in addition, untargeted metabolomics was used to study changes in metabolites caused by fungicide application. This dissertation developed methods for fine fescue by a combination use of flow cytometry and molecular markers. Methods and genomics resources developed in this dissertation will benefit fine fescue breeding and genetics programs.
Keywords
Description
University of Minnesota Ph.D. dissertation. March 2020. Major: Plant Biological Sciences. Advisor: Eric Watkins. 1 computer file (PDF); xii, 207 pages.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Qiu, Yinjie. (2020). Leveraging High Throughput Sequencing For Fine Fescue (Festuca Spp.) Breeding And Genetics. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215071.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.