Literature DB >> 17869456

Simultaneous detection and differentiation of Newcastle disease and avian influenza viruses using oligonucleotide microarrays.

Lih-Chiann Wang1, Chu-Hsiang Pan, Lucia Liu Severinghaus, Lu-Yuan Liu, Chi-Tsong Chen, Chang-En Pu, Dean Huang, Jihn-Tsair Lir, Shih-Chien Chin, Ming-Chu Cheng, Shu-Hwae Lee, Ching-Ho Wang.   

Abstract

Newcastle disease (ND) and avian influenza (AI) are two of the most important zoonotic viral diseases of birds throughout the world. These two viruses often have a great impact upon the poultry industry. Both viruses are associated with transmission from wild to domestic birds, and often display similar signs that need to be differentiated. A rapid surveillance among wild and domestic birds is important for early disease detection and intervention, and is the basis for what measures should be taken. The surveillance, thus, should be able to differentiate the diseases and provide a detailed analysis of the virus strains. Here, we described a fast, simultaneous and inexpensive approach to the detection of Newcastle disease virus (NDV) and avian influenza virus (AIV) using oligonucleotide microarrays. The NDV pathotypes and the AIV haemagglutinin subtypes H5 and H7 were determined at the same time. Different probes on a microarray targeting the same gene were implemented in order to encompass the diversified virus strains or provide multiple confirmations of the genotype. This ensures good sensitivity and specificity among divergent viruses. Twenty-four virus isolates and twenty-four various combinations of the viruses were tested in this study. All viruses were successfully detected and typed. The hybridization results on microarrays were clearly identified with the naked eyes, with no further imaging equipment needed. The results demonstrate that the detection and typing of multiple viruses can be performed simultaneously and easily using oligonucleotide microarrays. The proposed method may provide potential for rapid surveillance and differential diagnosis of these two important zoonoses in both wild and domestic birds.

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Year:  2007        PMID: 17869456     DOI: 10.1016/j.vetmic.2007.08.019

Source DB:  PubMed          Journal:  Vet Microbiol        ISSN: 0378-1135            Impact factor:   3.293


  11 in total

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2.  Use of reverse transcriptase polymerase chain reaction (RT-PCR) in molecular screening of Newcastle disease virus in poultry and free-living bird populations.

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Journal:  J Clin Microbiol       Date:  2016-08-24       Impact factor: 5.948

4.  Design and validation of a microarray for detection, hemagglutinin subtyping, and pathotyping of avian influenza viruses.

Authors:  Astrid Gall; Bernd Hoffmann; Timm Harder; Christian Grund; Dirk Höper; Martin Beer
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5.  Universal oligonucleotide microarray for sub-typing of Influenza A virus.

Authors:  Vladimir A Ryabinin; Elena V Kostina; Galiya A Maksakova; Alexander A Neverov; Konstantin M Chumakov; Alexander N Sinyakov
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

6.  Rapid and specific influenza virus detection by functionalized magnetic nanoparticles and mass spectrometry.

Authors:  Tzu-Chi Chou; Wei Hsu; Ching-Ho Wang; Yu-Ju Chen; Jim-Min Fang
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7.  Simultaneous detection of major enteric viruses using a combimatrix microarray.

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Authors:  Lu-Yuan Liu; He-Yi Ye; Tsang-Hai Chen; Tsung-Chi Chen
Journal:  Virol J       Date:  2017-01-10       Impact factor: 4.099

9.  New oligonucleotide microarray for rapid diagnosis of avian viral diseases.

Authors:  Kulyaisan T Sultankulova; Nurlan S Kozhabergenov; Vitaliy M Strochkov; Yerbol D Burashev; Kamshat A Shorayeva; Olga V Chervyakova; Nurkuisa M Rametov; Nurlan T Sandybayev; Abylay R Sansyzbay; Mukhit B Orynbayev
Journal:  Virol J       Date:  2017-04-05       Impact factor: 4.099

Review 10.  Diagnostic and Vaccination Approaches for Newcastle Disease Virus in Poultry: The Current and Emerging Perspectives.

Authors:  Muhammad Bashir Bello; Khatijah Yusoff; Aini Ideris; Mohd Hair-Bejo; Ben P H Peeters; Abdul Rahman Omar
Journal:  Biomed Res Int       Date:  2018-08-05       Impact factor: 3.411

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