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Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses
A major challenge facing agriculture at present is the development of techniques that can screen field samples and other plant materials simultaneously for the presence of many viruses. Microarray techniques show promise in this regard, as their high throughput nature can potentially detect a range...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112823/ https://www.ncbi.nlm.nih.gov/pubmed/20304013 http://dx.doi.org/10.1016/j.jviromet.2010.03.010 |
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author | Zhang, Yongjiang Yin, Jun Li, Guifen Li, Mingfu Huang, Xin Chen, Hongjun Zhao, Wenjun Zhu, Shuifang |
author_facet | Zhang, Yongjiang Yin, Jun Li, Guifen Li, Mingfu Huang, Xin Chen, Hongjun Zhao, Wenjun Zhu, Shuifang |
author_sort | Zhang, Yongjiang |
collection | PubMed |
description | A major challenge facing agriculture at present is the development of techniques that can screen field samples and other plant materials simultaneously for the presence of many viruses. Microarray techniques show promise in this regard, as their high throughput nature can potentially detect a range of viruses using a single test. In this paper we present an array that can detect a wide spectrum of 169 plant virus species from 13 different genera. The array was constructed using an automated probe design protocol which generated a minimal number of probes to detect viruses at the genus level. The designed arrays showed a high specificity and sensitivity when tested with a set of standard virus samples. Field samples collected from a severe disease outbreak of Panax notoginseng farms in Yunnan, China, in 2001 were screened, where a potyvirus infection was identified associated with the disease. |
format | Online Article Text |
id | pubmed-7112823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71128232020-04-02 Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses Zhang, Yongjiang Yin, Jun Li, Guifen Li, Mingfu Huang, Xin Chen, Hongjun Zhao, Wenjun Zhu, Shuifang J Virol Methods Article A major challenge facing agriculture at present is the development of techniques that can screen field samples and other plant materials simultaneously for the presence of many viruses. Microarray techniques show promise in this regard, as their high throughput nature can potentially detect a range of viruses using a single test. In this paper we present an array that can detect a wide spectrum of 169 plant virus species from 13 different genera. The array was constructed using an automated probe design protocol which generated a minimal number of probes to detect viruses at the genus level. The designed arrays showed a high specificity and sensitivity when tested with a set of standard virus samples. Field samples collected from a severe disease outbreak of Panax notoginseng farms in Yunnan, China, in 2001 were screened, where a potyvirus infection was identified associated with the disease. Elsevier B.V. 2010-07 2010-03-19 /pmc/articles/PMC7112823/ /pubmed/20304013 http://dx.doi.org/10.1016/j.jviromet.2010.03.010 Text en Copyright © 2010 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Yongjiang Yin, Jun Li, Guifen Li, Mingfu Huang, Xin Chen, Hongjun Zhao, Wenjun Zhu, Shuifang Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses |
title | Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses |
title_full | Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses |
title_fullStr | Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses |
title_full_unstemmed | Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses |
title_short | Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses |
title_sort | oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112823/ https://www.ncbi.nlm.nih.gov/pubmed/20304013 http://dx.doi.org/10.1016/j.jviromet.2010.03.010 |
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