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TaqMan MGB Probe Fluorescence Real-Time Quantitative PCR for Rapid Detection of Chinese Sacbrood Virus

Overview of attention for article published in PLOS ONE, February 2013
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Title
TaqMan MGB Probe Fluorescence Real-Time Quantitative PCR for Rapid Detection of Chinese Sacbrood Virus
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0052670
Pubmed ID
Authors

Ma Mingxiao, Liu Jinhua, Song Yingjin, Li Li, Li Yongfei

Abstract

Sacbrood virus (SBV) is a picorna-like virus that affects honey bees (Apis mellifera) and results in the death of the larvae. Several procedures are available to detect Chinese SBV (CSBV) in clinical samples, but not to estimate the level of CSBV infection. The aim of this study was develop an assay for rapid detection and quantification of this virus. Primers and probes were designed that were specific for CSBV structural protein genes. A TaqMan minor groove binder (MGB) probe-based, fluorescence real-time quantitative PCR was established. The specificity, sensitivity and stability of the assay were assessed; specificity was high and there were no cross-reactivity with healthy larvae or other bee viruses. The assay was applied to detect CSBV in 37 clinical samples and its efficiency was compared with clinical diagnosis, electron microscopy observation, and conventional RT-PCR. The TaqMan MGB-based probe fluorescence real-time quantitative PCR for CSBV was more sensitive than other methods tested. This assay was a reliable, fast, and sensitive method that was used successfully to detect CSBV in clinical samples. The technology can provide a useful tool for rapid detection of CSBV. This study has established a useful protocol for CSBV testing, epidemiological investigation, and development of animal models.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Master 5 17%
Researcher 4 13%
Professor 2 7%
Student > Postgraduate 1 3%
Other 0 0%
Unknown 10 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 23%
Biochemistry, Genetics and Molecular Biology 5 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Environmental Science 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 3 10%
Unknown 11 37%