Literature DB >> 32170686

Avian Influenza Virus Detection and Quantitation by Real-Time RT-PCR.

Erica Spackman1.   

Abstract

Real-time RT-PCR (rRT-PCR) has been used for avian influenza virus (AIV) detection since the early 2000s. This method has been applied to surveillance, outbreaks and research. Some of the advantages of rRT-PCR are high sensitivity, high specificity, rapid time to result, scalability, cost, and its inherently quantitative nature. Furthermore, rRT-PCR can be used with numerous sample types and is less expensive than virus isolation in chicken embryos, and since infectious virus is inactivated early during processing, biosafety and biosecurity are also easier to maintain. However, the high genetic variability of AIV may decrease sensitivity and increases the chances of a false negative result with novel strains. This chapter will provide an overview of the USDA-validated rRT-PCR procedure for the detection of type A influenza.

Entities:  

Keywords:  Avian influenza virus detection; Influenza diagnosis; Real-time RT-PCR; Virus quantitation

Mesh:

Substances:

Year:  2020        PMID: 32170686     DOI: 10.1007/978-1-0716-0346-8_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Naturally Acquired Antibodies to Influenza A Virus in Fall-Migrating North American Mallards.

Authors:  David E Stallknecht; Alinde Fojtik; Deborah L Carter; Jo Anne Crum-Bradley; Daniel R Perez; Rebecca L Poulson
Journal:  Vet Sci       Date:  2022-04-27

2.  Phylogenetic analysis, molecular changes, and adaptation to chickens of Mexican lineage H5N2 low-pathogenic avian influenza viruses from 1994 to 2019.

Authors:  Sungsu Youk; Christina M Leyson; Darren J Parris; Henry M Kariithi; David L Suarez; Mary J Pantin-Jackwood
Journal:  Transbound Emerg Dis       Date:  2022-03-04       Impact factor: 4.521

3.  Spatiotemporal changes in influenza A virus prevalence among wild waterfowl inhabiting the continental United States throughout the annual cycle.

Authors:  Cody M Kent; Andrew M Ramey; Joshua T Ackerman; Justin Bahl; Sarah N Bevins; Andrew S Bowman; Walter M Boyce; Carol J Cardona; Michael L Casazza; Troy D Cline; Susan E De La Cruz; Jeffrey S Hall; Nichola J Hill; Hon S Ip; Scott Krauss; Jennifer M Mullinax; Jacqueline M Nolting; Magdalena Plancarte; Rebecca L Poulson; Jonathan A Runstadler; Richard D Slemons; David E Stallknecht; Jeffery D Sullivan; John Y Takekawa; Richard J Webby; Robert G Webster; Diann J Prosser
Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

  3 in total

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