Rapid identification of virus-carrying mosquitoes using reverse transcription-loop-mediated isothermal amplification
Autor: | Hiroshi Iseki, Hirotaka Kanuka, Aya Yoshimura, Hiroka Aonuma, Ikuo Igarashi, Tokiyasu Teramoto, Takeshi Yagi, Bryce Nelson, Namal Perera, Shinya Fukumoto |
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Rok vydání: | 2008 |
Předmět: |
Virus Cultivation
Molecular Sequence Data Loop-mediated isothermal amplification Insect Viruses Aedes aegypti Arbovirus Sensitivity and Specificity Virus Dengue fever Cell Line Aedes Virology medicine Animals RNA Viruses Reverse Transcription Loop-mediated Isothermal Amplification DNA Primers biology Base Sequence Nucleic acid amplification technique biology.organism_classification medicine.disease Vector (epidemiology) RNA Viral Female Nucleic Acid Amplification Techniques |
Zdroj: | Journal of virological methods. 156(1-2) |
ISSN: | 0166-0934 |
Popis: | Mosquitoes are critical vectors in many arboviral transmission cycles. Considering the increasing incidence of arboviral infections throughout the world, monitoring of vector populations for the presence of an arbovirus could be considered an important initial step of risk assessment to humans and animals. In response to this need, increased efforts to develop rapid and reliable diagnostic techniques have been undertaken; a single-step reverse transcription-loop-mediated isothermal amplification (RT-LAMP) assay was developed to detect virus in vector mosquitoes (Aedes aegypti) using the Flock House Virus (FHV) as a model. The robustness of the RT-LAMP reaction was revealed by its ability to detect FHV from an "all-in-one" template using whole mosquito bodies within 30min. Furthermore, RT-LAMP identified successfully a mosquito carrying just a single FHV particle, a level easily overlooked in conventional analysis such as plaque forming assays. These observations suggest that RT-LAMP is more reliable and useful for routine diagnosis of vector mosquitoes in regions where the prevalence of vector-borne diseases such as West Nile fever or dengue fever are common. |
Databáze: | OpenAIRE |
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