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dc.contributor.advisorOchoa-Corona, Francisco
dc.contributor.authorPena-Zuniga, Lizbeth Daniela
dc.date.accessioned2021-02-22T22:24:11Z
dc.date.available2021-02-22T22:24:11Z
dc.date.issued2020-05
dc.identifier.urihttps://hdl.handle.net/11244/328621
dc.description.abstractThe 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.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright 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.titleEDNA-host: Detection of global plant viromes using high throughput sequencing
dc.contributor.committeeMemberAli, Akhtar
dc.contributor.committeeMemberEspindola, Andres
dc.contributor.committeeMemberHagen, Darren
dc.contributor.committeeMemberMelouk, Hassan
osu.filenamePENAZUNIGA_okstate_0664D_16711.pdf
osu.accesstypeOpen Access
dc.type.genreDissertation
dc.type.materialText
dc.subject.keywordsbioinformatics
dc.subject.keywordsdiagnostics
dc.subject.keywordsedna- mifi
dc.subject.keywordsmetagenomics
dc.subject.keywordsplant virome
dc.subject.keywordsrna virus
thesis.degree.disciplinePlant Pathology
thesis.degree.grantorOklahoma State University


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