Literature DB >> 9533085

Detection and classification of infectious bronchitis viruses isolated in Korea by dot-immunoblotting assay using monoclonal antibodies.

C S Song1, J H Kim, Y J Lee, S J Kim, Y Izumiya, Y Tohya, H K Jang, T Mikami.   

Abstract

Dot-immunoblotting assay (DIA) using five monoclonal antibodies (MAbs) to infectious bronchitis virus (IBV) was used to detect and classify the viruses propagated in embryonated chicken eggs. Using a group-specific MAb 3F5, 10 reference strains and 12 Korean isolates of IBV were successfully detected by DIA, and the lowest virus titer of IBV detected by DIA was approximately less than 10(3.8) mean embryo infective dose/ml. For evaluating the diagnostic efficiency, DIA was compared with the conventional infectious bronchitis (IB) diagnostic method. IBV antigens in allantoic fluid from embryonated eggs inoculated with IB-suspected field samples were specifically detected by DIA within only one or two egg passages, whereas the conventional embryonated egg inoculation method required four to seven egg passages for confirming IBV infection. These results indicated that DIA could significantly reduce time and cost for IB diagnosis. For examining the possibility of classifying IBV by DIA, four strain-specific MAbs, 3A4, 2A3, 6F7, and 2C6, were used. According to the MAb reacting patterns to the IBV antigens, the 10 IBV reference strains were classified into six groups; seven strains belonged to three different groups, and the other three strains each belonged to an individual group. In the case of 12 Korean isolates of IBV, they were classified in six groups. Among the six groups, the MAb reacting patterns of three groups matched those of the IBV reference strains, but the others did not. These data suggest that at least three variant serotypes of IBV exist in Korea.

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Year:  1998        PMID: 9533085

Source DB:  PubMed          Journal:  Avian Dis        ISSN: 0005-2086            Impact factor:   1.577


  8 in total

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2.  Development and application of reference antisera against 15 hemagglutinin subtypes of influenza virus by DNA vaccination of chickens.

Authors:  Chang-Won Lee; Dennis A Senne; David L Suarez
Journal:  Clin Vaccine Immunol       Date:  2006-03

3.  A Novel Immunochromatographic Strip for Antigen Detection of Avian Infectious Bronchitis Virus.

Authors:  I-Li Liu; Yi-Chun Lin; Yong-Chong Lin; Cai-Zhen Jian; Ivan-Chen Cheng; Hui-Wen Chen
Journal:  Int J Mol Sci       Date:  2019-05-06       Impact factor: 5.923

4.  Characterization of a novel live attenuated infectious bronchitis virus vaccine candidate derived from a Korean nephropathogenic strain.

Authors:  Hyun Jeong Lee; Ha Na Youn; Ji Sun Kwon; Youn Jeong Lee; Jae Hong Kim; Joong Bok Lee; Seung Yong Park; In Soo Choi; Chang Seon Song
Journal:  Vaccine       Date:  2010-02-11       Impact factor: 3.641

5.  Epidemiological investigation of avian infectious bronchitis and locally determined genotype diversity in central China: a 2016-2018 study.

Authors:  Jun Ji; Yuyun Gao; Qinxi Chen; Qianqian Wu; Xin Xu; Yunchao Kan; Lunguang Yao; Yingzuo Bi; Qingmei Xie
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Review 6.  The emergence, evolution and spread of infectious bronchitis virus genotype GI-23.

Authors:  Mohamed H Houta; Kareem E Hassan; Azza A El-Sawah; Magdy F Elkady; Walid H Kilany; Ahmed Ali; Ahmed S Abdel-Moneim
Journal:  Arch Virol       Date:  2021-01-08       Impact factor: 2.574

7.  Successful cross-protective efficacy induced by heat-adapted live attenuated nephropathogenic infectious bronchitis virus derived from a natural recombinant strain.

Authors:  Tae-Hyun Lim; Ha-Na Youn; Seong-Su Yuk; Jung-Hoon Kwon; Woo-Tack Hong; Gyeong-Bin Gwon; Jung-Ah Lee; Joong-Bok Lee; Sang-Won Lee; Chang-Seon Song
Journal:  Vaccine       Date:  2015-07-26       Impact factor: 3.641

8.  Comparison between dot-immunoblotting assay and clinical sign determination method for quantifying avian infectious bronchitis virus vaccine by titration in embryonated eggs.

Authors:  Seong-Su Yuk; Jung-Hoon Kwon; Jin-Yong Noh; Woo-Tack Hong; Gyeong-Bin Gwon; Jei-Hyun Jeong; Sol Jeong; Ha-Na Youn; Yong-Hwan Heo; Joong-Bok Lee; Seung-Yong Park; In-Soo Choi; Chang-Seon Song
Journal:  J Virol Methods       Date:  2016-01-21       Impact factor: 2.014

  8 in total

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