Date of Award
12-2019
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Biology
First Advisor
Narayanaswamy Bharathan
Second Advisor
Seema Bharathan
Third Advisor
Cuong Diep
Abstract
Fungal diseases have been one of the leading causes of crop losses ever since humans began to cultivate plants. Researchers have proposed that some fungal species, like Rhizoctonia solani, have shown a decline in their ability to cause diseases in crop plants due to viral infection. Reduced virulence could be attributed to the genetic material of double-stranded (ds) RNA viruses. In literature, however, only a limited number of viruses have been characterized at the molecular and biological levels from other fungi like Aspergillus and Fusarium. Nevertheless, it is not well known how the dsRNA genetic mechanisms control the fungal characteristics and the pathogenicity of Rhizoctonia. We used modern techniques in detection technology in order to characterize Rhizoctonia solani mycoviruses. We designed primers and probe for the cloned sequence to test for viral detection and improving the efficiency of RT-PCR.
Recommended Citation
Jaber, Mohammed A., "Data Mining on Cloned Double-Stranded RNA Sequences of Rhizoctonia Solani Isolates, 357, 303, and 386" (2019). Theses and Dissertations (All). 1798.
https://knowledge.library.iup.edu/etd/1798