scholarly journals Application of three duplex real-time PCR assays for simultaneous detection of human seasonal and avian influenza viruses

2013 ◽  
Vol 158 (8) ◽  
pp. 1743-1753 ◽  
Author(s):  
Ilona Stefańska ◽  
Tomasz Dzieciatkowski ◽  
Lidia B. Brydak ◽  
Magdalena Romanowska
PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0178634 ◽  
Author(s):  
Zhujun Zhang ◽  
Dong Liu ◽  
Wenqiang Sun ◽  
Jing Liu ◽  
Lihong He ◽  
...  

2006 ◽  
Vol 6 (1) ◽  
Author(s):  
Livia Di Trani ◽  
Barbara Bedini ◽  
Isabella Donatelli ◽  
Laura Campitelli ◽  
Barbara Chiappini ◽  
...  

2021 ◽  
Author(s):  
Hong Bo ◽  
Ye Zhang ◽  
Libo Dong ◽  
Jie Dong ◽  
Xiyan Li ◽  
...  

Abstract Background Avian influenza viruses persist in animal hosts and continue to cause human infections in China. It is important to analyse the geographic and seasonal distributions of avian influenza viruses and compare the subtypes and their prevalence among sample sites in environment.MethodsA total of 329,276 environmental samples were collected from locations associated with poultry and wild birds from 2014 to 2017. Viral RNA was extracted from the environmental samples. Real-time PCR assays for influenza A, and the H5, H7, and H9 subtypes were performed on all the samples. Virus isolation was performed on the influenza A-positive samples detected by real-time PCR. Whole-genome sequencing was then performed on an Illumina sequencer.ResultsThe proportions of samples that tested positive for total influenza A and the H5, H9 and H7 subtypes varied among different geographical regions and seasons. Significantly higher proportions of influenza A- and H5-, H9-, and H7-positive samples were collected from live poultry markets and poultry slaughtering locations. Influenza A positivity rates in sewage and chopping board swab samples were higher than those in other sample types. Multiple subtypes related to avian influenza viruses, including 9 HA and 7 NA subtypes, were detected in environmental samples.ConclusionsThese findings indicate that multiple subtypes of avian influenza A viruses continuously coexist in environments associated with poultry and increase the risk of reassortment and transmission, highlighting the need for environmental surveillance in China.


2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Lin Liu ◽  
Ying Zhang ◽  
Pengfei Cui ◽  
Congcong Wang ◽  
Xianying Zeng ◽  
...  

Abstract Background In 2017–2018, a new highly pathogenic H5N6 avian influenza virus (AIV) variant appeared in poultry and wild birds in Asian and European countries and caused multiple outbreaks. These variant strains are different from the H5N6 virus associated with human infection in previous years, and their genetic taxonomic status and antigenicity have changed. Therefore, revision of the primers and probes of fluorescent RT-PCR is important to detect the new H5N6 subtype AIV in poultry and reduce the risk of an epidemic in birds or humans. Methods In this study, the primers and probes including three groups of HA and four groups of NA for H5N6 influenza virus were evaluated. Then a set of ideal primer and probes were selected to further optimize the reaction system and established a method of double rRT-PCR assay. The specificity of this method was determined by using H1~H16 subtype AIV. Results The results showed that fluorescence signals were obtained for H5 virus in FAM channel and N6 virus in VIC channel, and no fluorescent signal was observed in other subtypes of avian influenza viruses. The detection limit of this assay was 69 copies for H5 and 83 copies for N6 gene. And, the variability tests of intra- and inter-assay showed excellent reproducibility. Moreover, this assay showed 100% agreement with virus isolation method in detecting samples from poultry. Conclusion The duplex rRT-PCR assay presented here has high specificity, sensitivity and reproducibility, and can be used for laboratory surveillance and rapid diagnosis of newly emerged H5N6 subtype avian influenza viruses.


2013 ◽  
Vol 193 (2) ◽  
pp. 452-458 ◽  
Author(s):  
Z. Kis ◽  
J. Jones ◽  
A. Creanga ◽  
K. Ferdinand ◽  
K. Inui ◽  
...  

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