Rapid differential detection of subtype H1 and H3 swine influenza viruses using a TaqMan-MGB-based duplex one-step real-time RT-PCR assay

Author(s):  
Kaibiao Chen ◽  
Ming Kong ◽  
Jiao Liu ◽  
Jun Jiao ◽  
Zixiong Zeng ◽  
...  
2021 ◽  
Author(s):  
Kaibiao Chen ◽  
Ming Kong ◽  
Jiao Liu ◽  
Jun Jiao ◽  
Zixiong Zeng ◽  
...  

Abstract Swine influenza is not only an economically important respiratory disease in swine, but also constantly poses a threat to human health. Hence, developing a rapid, sensitive and efficient detection method of swine influenza virus (SIV) is highly essential. By aligning the HA gene sequences of SIV circulating in China in recent 10 years, a H1 primer-probe set targeting both Eurasian avian-like H1N1 (EA H1N1) and Pandemic 2009 H1N1 (Pdm09 H1N1) lineages plus a H3 prime-probe set targeting the prevalent human-like H3N2 (HL H3N2) subtype were designed, respectively. Further, a TaqMan-MGB based duplex one-step real time RT-PCR (RRT-PCR) assay was established and evaluated. The duplex RRT-PCR possessed the detection limit of 5 copies/μL HA plasmid for each of the EA H1N1, Pdm09 H1N1 and HL H3N2 subtype SIVs, and matched an overall detection sensitivity of 100% and specificity of 91.67% with traditional virus isolation through chicken embryo inoculation using experimentally infected mice lung samples. Besides, the method showed high repeatability both within-run and between-runs, and no cross-reactivity against some commonly circulated porcine viruses in China. Furthermore, the duplex RRT-PCR method revealed a relatively higher prevalent rate of H1 than H3 subtype SIV in 166 nasal swabs from pigs in some slaughterhouse during October ~ December, 2019. This developed assay could be very helpful for rapid differential detection and routine surveillance of EA H1N1, Pdm09 H1N1 and HL H3N2 subtype SIVs in China.


2013 ◽  
Vol 189 (2) ◽  
pp. 277-282 ◽  
Author(s):  
Yong Yan ◽  
Heng-hui Wang ◽  
Lei Gao ◽  
Ji-mei Ji ◽  
Zhi-jie Ge ◽  
...  

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

2017 ◽  
Vol 33 ◽  
pp. 8-10 ◽  
Author(s):  
Jingfang Chen ◽  
Rusheng Zhang ◽  
Xinhua Ou ◽  
Dong Yao ◽  
Zheng Huang ◽  
...  
Keyword(s):  
Rt Pcr ◽  

2009 ◽  
Vol 55 (8) ◽  
pp. 1555-1558 ◽  
Author(s):  
Leo L M Poon ◽  
K H Chan ◽  
G J Smith ◽  
C S W Leung ◽  
Y Guan ◽  
...  

Abstract Background: Influenza A viruses are medically important viral pathogens that cause significant mortality and morbidity throughout the world. The recent emergence of a novel human influenza A virus (H1N1) poses a serious health threat. Molecular tests for rapid detection of this virus are urgently needed. Methods: We developed a conventional 1-step RT-PCR assay and a 1-step quantitative real-time RT-PCR assay to detect the novel H1N1 virus, but not the seasonal H1N1 viruses. We also developed an additional real-time RT-PCR that can discriminate the novel H1N1 from other swine and human H1 subtype viruses. Results: All of the assays had detection limits for the positive control in the range of 1.0 × 10−4 to 2.0 × 10−3 of the median tissue culture infective dose. Assay specificities were high, and for the conventional and real-time assays, all negative control samples were negative, including 7 human seasonal H1N1 viruses, 1 human H2N2 virus, 2 human seasonal H3N2 viruses, 1 human H5N1 virus, 7 avian influenza viruses (HA subtypes 4, 5, 7, 8, 9, and 10), and 48 nasopharyngeal aspirates (NPAs) from patients with noninfluenza respiratory diseases; for the assay that discriminates the novel H1N1 from other swine and human H1 subtype viruses, all negative controls were also negative, including 20 control NPAs, 2 seasonal human H1N1 viruses, 2 seasonal human H3N2 viruses, and 2 human H5N1 viruses. Conclusions: These assays appear useful for the rapid diagnosis of cases with the novel H1N1 virus, thereby allowing better pandemic preparedness.


2014 ◽  
Vol 58 (01) ◽  
pp. 81-85 ◽  
Author(s):  
A. ZARZYŃSKA ◽  
M. JEŻEWSKA ◽  
K. TRZMIEL ◽  
B. HASIÓW-JAROSZEWSKA

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