Chinnaraja Chinnadurai
Research Associate
North Dakota State University
Fargo, North Dakota, United States
Alyssa Flobinus
North Dakota State University
Fargo, North Dakota, United States
Hyun Cho
USDA-ARS
Fargo, North Dakota, United States
Eric Branch, PhD
Assistant Professor
North Dakota State University and University of Minnesota Extension
Fargo, North Dakota, United States
John Weiland
USDA-ARS
Fargo, North Dakota, United States
Melvin Bolton, PhD
Research Plant Pathologist
USDA-Agricultural Research Service, Sugar beet Research Unit, Fargo, ND 58102
Fargo, North Dakota, United States
Vanitharani Ramachandran
Research Plant Pathologist
USDA-ARS
Fargo, North Dakota, United States
Beet necrotic yellow vein virus (BNYVV) is the causal agent of rhizomania disease of sugarbeet (Beta vulgaris L.), significantly impacting crop yield and quality. Understanding the molecular defense response of sugarbeet against BNYVV infection is important for developing resistant cultivars. This study employs transcriptome sequencing to identify differentially expressed genes (DEGs) involved in host defense responses. To conduct the experiment, in vitro RNA transcripts for BNYVV RNA1 to RNA4 were synthesized from linearized plasmid DNA clones and inoculated Chenopodium quinoa plants. Sap from the symptomatic C. quinoa leaves was then used to infect sugarbeet seedlings via root-inoculation. Root samples from both inoculated and control plants were collected at 2-, 4-, and 6-weeks post-inoculation, with four biological replicates for each time point. BNYVV infection in the inoculated samples was confirmed using ELISA. For transcriptome analysis, total RNA from root samples was analyzed using directional mRNA sequenced with Illumina NovaSeq PE150 platform. Ongoing bioinformatic analysis focuses on profiling differentially expressed host genes in response to BNYVV infection. The findings will enhance understanding the molecular basis of host response to BNYVV and suggest potential genetic targets for improving rhizomania disease management.