dc.contributor.advisor | Ochoa-Corona, Francisco | |
dc.contributor.author | Pena-Zuniga, Lizbeth Daniela | |
dc.date.accessioned | 2021-02-22T22:24:11Z | |
dc.date.available | 2021-02-22T22:24:11Z | |
dc.date.issued | 2020-05 | |
dc.identifier.uri | https://hdl.handle.net/11244/328621 | |
dc.description.abstract | The aim of this research was to develop the concept of host-specific virome detection methods. Three model systems were selected roses, cucurbits, and water. EDNA MiFi was used to generate pathogen electronic probes (E-probes) for the detection of viruses in-silico and in-vitro using field samples for validation. The selected three host model allows a comprehensive detection system for specifically targeting the three pre-determined host viromes (117 plant viruses). This research also presents a validation of the analytical sensitivity determining the in-vitro limit of detection (10pg) quantified for a specific set of E-probes (ArMV-RNA2 60nt). The database of EDNA-Rose MiFi includes E-probes (523) specifically designed to detect 22 reported viruses infecting roses worldwide. The EDNA-Cucurbits MiFi includes E-probes (412) for 15 reported viruses. Finally, the MiFi database EDNA-Water is composed of a selection of highly specific E-probes (1730) for 80 reported viruses within the genera Potexvirus, Tobamovirus, and Tombusvirus. The detection of the presence of multiple viruses in a host is challenging. Hence, the relevance of developing and applying a broad detection system to detect viruses out of a virome in a sample. The application of EDNA-Host extends to plant virus detection to all staple crops, virus-free certification programs, breeding, veterinary and life sciences. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
dc.title | EDNA-host: Detection of global plant viromes using high throughput sequencing | |
dc.contributor.committeeMember | Ali, Akhtar | |
dc.contributor.committeeMember | Espindola, Andres | |
dc.contributor.committeeMember | Hagen, Darren | |
dc.contributor.committeeMember | Melouk, Hassan | |
osu.filename | PENAZUNIGA_okstate_0664D_16711.pdf | |
osu.accesstype | Open Access | |
dc.type.genre | Dissertation | |
dc.type.material | Text | |
dc.subject.keywords | bioinformatics | |
dc.subject.keywords | diagnostics | |
dc.subject.keywords | edna- mifi | |
dc.subject.keywords | metagenomics | |
dc.subject.keywords | plant virome | |
dc.subject.keywords | rna virus | |
thesis.degree.discipline | Plant Pathology | |
thesis.degree.grantor | Oklahoma State University | |