Monoclonal antibody-based serological methods for maize chlorotic mottle virus detection in China
Monoclonal antibody-based serological methods for maize chlorotic mottle virus detection in China
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基于单克隆抗体的中国玉米褪绿斑驳病毒检测血清学方法
DOI:
10.1631/jzus.b1200275
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发表时间:
2013-07
影响因子:
5.1
通讯作者:
Zhou, Xue-ping
中科院分区:
文献类型:
--
作者:
Liu, Huan;Qian, Ya-juan;Xie, Yan;Zhou, Xue-ping
Maize chlorotic mottle virus (MCMV) infects maize plants and causes significant losses in corn production worldwide. In this study, purified MCMV particles were used as the immunogen to produce monoclonal antibodies (MAbs) and polyclonal antibodies (PAbs). Four murine MAbs (4B8, 8C11, 6F4, and 9G1) against MCMV were obtained through the hybridoma technology. The triple antibody sandwich enzyme-linked immunosorbent assay (TAS-ELISA), dot-immunobinding assay (DIBA), and immunocapture reverse transcription-polymerase chain reaction (IC-RT-PCR) using the MAb 4B8 were then developed for sensitive, specific, and rapid detection of MCMV in fields. MCMV could be detected in infected leaf crude extracts at dilutions of 1:327 680, 1:64 000, and 1:3 276 800 (w/v, g/ml) by TAS-ELISA, DIBA, and IC-RT-PCR, respectively. One hundred and sixty-one maize field samples showing virus-like symptoms and sixty-nine symptomless maize field samples from ten different provinces of China were collected and screened for the presence of MCMV using the established serological methods. A phylogenetic tree was constructed based on the full length CP genes and Chinese MCMV isolates formed one branch with Thailand isolates. The detection results demonstrated that MCMV is one of most prevalent viruses infecting maize in the Yunnan and Sichuan provinces of China.
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影响因子:
1.5
作者:
L. Nault;D. T. Gordon;J. Loayza
通讯作者:
L. Nault;D. T. Gordon;J. Loayza
DOI:
--
发表时间:
1978
期刊:
Plant disease reporter
影响因子:
--
作者:
C. Niblett;L. Claflin
通讯作者:
C. Niblett;L. Claflin
影响因子:
1.5
作者:
Jian-xiang Wu;Cui Yu;Cuiyun Yang;Xue-ping Zhou
通讯作者:
Jian-xiang Wu;Cui Yu;Cuiyun Yang;Xue-ping Zhou
影响因子:
13.8
作者:
Jian-xiang Wu;Lian Yu;Long Li;Jinqiang Hu;Jiyong Zhou;Xue-ping Zhou
通讯作者:
Jian-xiang Wu;Lian Yu;Long Li;Jinqiang Hu;Jiyong Zhou;Xue-ping Zhou
影响因子:
0.6
作者:
F. Morales;J. Arroyave;J. Castillo;C. León
通讯作者:
F. Morales;J. Arroyave;J. Castillo;C. León