121st General Meeting of the KCS

Type Poster Presentation
Area Inorganic Chemistry
Room No. Event Hall
Time 4월 19일 (목요일) 11:00~12:30
Code INOR.P-41
Subject Interaction mechanisms of protein-human norovirus induced by divalent metal coordination
Authors Jaewoong Park, Seung Jae Lee*
Department of Chemistry and Research Institute for Molecular Biology and Genetics, Chonbuk National University, Korea
Abstract Noroviruses (NoV) are non-enveloped single-stranded positive-sense RNA viruses belonging to the Caliciviridae family, and are divided into seven genogroups (GI–GVII) based on viral capsid gene sequences. The genotypes in the genogroups GI, GII, and GIV, referred collectively as human norovirus (HuNoV), are major causes of acute water- and food-borne global outbreaks of viral gastroenteritis. HuNoV is responsible for 90% of viral gastroenteritis, and 50% of all gastroenteritis outbreaks; this virus causes acute diarrhea and vomiting, which typically resolve within 2 or 3 days, but can result in life-threatening dehydration in children and the elderly. Rapid methods for the detection and clinical treatment of human norovirus (HuNoV) are required for controlling foodborne disease outbreaks, but a reliable methodology that is fast and sensitive enough to detect small amounts of HuNoV in food and aquatic environments has not been available. We report the interaction details of HuNoV with concanavalin A (ConA) which aid in the development of a sensitive detection tool for HuNov. Biophysical studies revealed that when the metal coordinated region (MCR) of ConA, which spans Asp16 to His24, is converted to nine alanine residues (mConAMCR), the affinity of the interaction with HuNoV (GII.4) diminishes, demonstrating that this Ca2+ and Mn2+ coordinated region is responsible for this virus-protein interaction. Furthermore, ConA conjugated polyacrylate beads (ConA-column) showed good recovery rates of GI and GII types of HuNoV from food items over a broad range of pH (3.0 ~ 10.0). Utilization of ConA allows for the development of a rapid and sensitive detection and concentration methodology for diverse genotypes of HuNoV.
E-mail jwpark0556@gmail.com