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Proceedings Paper

High sensitive method detection of plant RNA viruses by electrochemiluminescence reverse transcription PCR
Author(s): Ya-bing Tang; Da Xing; De-bin Zhu; Xiao-ming Zhou
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Paper Abstract

It is well known that plant and animal viruses had widely spread the whole of world, and made a big loss in farming and husbandry. It is necessary that a highly efficient and accurate virus's detection method was developed. This research combines reverse transcription polymerase chain reaction (RT-PCR) technique with electrochemiluminescence method, to detect plant RNA viruses for the first time. Biotin-probe hybridizes with PCR product to specific select the target for detection, thus can avoid pseudo-positive result. TBR-probe hybridizes with PCR product to emit light for ECL detection. Specific nucleic acid sequences (20bp) were added to 5' terminal all of the primers, which can improve the chance of hybridization between TBR-probe and PCR product. At the same time, one of the PCR product chain can hybridize two Ru-probes, the ECL signal is intensified. The method was used to detect Odntoglossum ringspot virus ORSV, Sugarcane mosaic virus ScMV, Sorghum mosaic virus SrMV, and Maize dwarf mosaic virus MDMV, the experiment results show that this method could reliably identity virus infected plant samples. In a word, this method has higher sensitivity and lower cost than others. It can effectively detect the plant viruses with simplicity, stability, and high sensitivity.

Paper Details

Date Published: 1 May 2007
PDF: 8 pages
Proc. SPIE 6534, Fifth International Conference on Photonics and Imaging in Biology and Medicine, 65341E (1 May 2007); doi: 10.1117/12.741573
Show Author Affiliations
Ya-bing Tang, South China Normal Univ. (China)
Da Xing, South China Normal Univ. (China)
De-bin Zhu, South China Normal Univ. (China)
Xiao-ming Zhou, South China Normal Univ. (China)

Published in SPIE Proceedings Vol. 6534:
Fifth International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Lihong V. Wang; Valery V. Tuchin; Min Gu, Editor(s)

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