A comparison of amplification methods to detect Avian Influenza viruses in California wetlands targeted via remote sensing of waterfowl
| Autor: | Ronald F. Bond, Sarai Acosta, Jeffrey J. Buler, Madeline M. McCuen, Samuel L. Díaz-Muñoz, Alexander H. Wilcox, Maurice Pitesky |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Special Issue Articles
040301 veterinary sciences animal diseases Wetland Animals Wild Biology medicine.disease_cause California M‐RTPCR wetlands 0403 veterinary science 03 medical and health sciences M-RTPCR Geese medicine Waterfowl Animals Veterinary Sciences avian influenza virus detection 030304 developmental biology Remote sensing poultry industry 0303 health sciences geography geography.geographical_feature_category General Veterinary General Immunology and Microbiology business.industry Significant difference virus diseases Special Issue Article 04 agricultural and veterinary sciences General Medicine Poultry farming Tangential flow biology.organism_classification Influenza A virus subtype H5N1 Ducks Migratory waterfowl Influenza A virus Influenza in Birds Remote Sensing Technology ultrafiltration Public Health and Health Services waterfowl business Nucleic Acid Amplification Techniques Filtration |
| Zdroj: | Transboundary and Emerging Diseases Transboundary and emerging diseases, vol 68, iss 1 |
| ISSN: | 1865-1682 |
| Popis: | Migratory waterfowl, including geese and ducks, are indicated as the primary reservoir of avian influenza viruses (AIv) which can be subsequently spread to commercial poultry. The US Department of Agriculture's (USDA) surveillance efforts of waterfowl for AIv have been largely discontinued in the contiguous United States. Consequently, the use of technologies to identify areas of high waterfowl density and detect the presence of AIv in habitat such as wetlands has become imperative. Here we identified two high waterfowl density areas in California using processed NEXt generation RADar (NEXRAD) and collected water samples to test the efficacy of two tangential flow ultrafiltration methods and two nucleic acid based AIv detection assays. Whole-segment amplification and long-read sequencing yielded more positive samples than standard M-segment qPCR methods (57.6% versus 3.0%, p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|